Reference metadata describe statistical concepts and methodologies used for the collection and generation of data. They provide information on data quality and, since they are strongly content-oriented, assist users in interpreting the data. Reference metadata, unlike structural metadata, can be decoupled from the data.
Directorate macro-economic statistics / Department Sector accounts and public finance
1.3. Contact name
Confidential because of GDPR
1.4. Contact person function
Confidential because of GDPR
1.5. Contact mail address
Guglgasse 13, A-1110 Wien
1.6. Contact email address
Confidential because of GDPR
1.7. Contact phone number
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1.8. Contact fax number
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2.1. Metadata last certified
10 July 2024
2.2. Metadata last posted
10 July 2024
2.3. Metadata last update
10 July 2024
3.1. Data description
Health care expenditure quantifies the economic resources dedicated to health functions, excluding capital investment. Healthcare expenditure concerns itself primarily with healthcare goods and services that are consumed by resident units, irrespective of where that consumption takes place (it may be in the rest of the world) or who is paying for it. As such, exports of healthcare goods and services (to non-resident units) are excluded, whereas imports of healthcare goods and services for final use are included. Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing scheme (e.g. social security, private insurance company, household). For the collection of the data on health care expenditure the System of Health Accounts (SHA) and its related set of International Classification for the Health Accounts (ICHA) is used. SHA sets out an integrated system of comprehensive and internationally comparable accounts and provides a uniform framework of basic accounting rules and a set of standard tables for reporting health expenditure data. The System of Health Accounts - SHA 2011 is a statistical reference manual giving a comprehensive description of the financial flows in health care.
It provides a set of revised classifications of health care functions, providers of health care goods and services and financing schemes. The SHA is currently used as a basis for a joint data collection by OECD, Eurostat and WHO on health care expenditure. The manual sets out in more detail the boundaries, the definitions and the concepts of health accounting – responding to health care systems around the globe with very different organisational and financing arrangements.
Accounting period: Health expenditure and financing data pertain to the calendar year (1 January to 31 December).
The time coverage of this quality report is 2004 to 2022 reference years, as at March 2024.
Statistics Austria is compiling SHA data on behalf of and on the basis of a contract with the Federal Ministry responsible for health. Data is published on Statistics Austria’s website. A detailed methodological documentation is also published at Statistics Austria’s website (German only), but an excerpt in English of this documentation is published as well. In addition to the core functions of SHA, Statistics Austria also calculates figures for public and private expenditure on gross fixed capital formation (HK), also relying on the SHA 2011 manual. Additionally, Statistics Austria also compiles SHA figures on public spending for State Health Funds financed hospitals (SHF hospitals, part of HP.1) for all nine Federal States of Austria and also provides figures for all three SHA-dimensions (HC, HP, HF) in one table. For reference year 2019, health care expenditure according to SHA 2011 by Age and Gender was also compiled and is publicly available.
healthcare expenditure by financing schemes (ICHA-HF) — which classifies the types of financing arrangements through which people obtain health services; health care financing schemes include direct payments by households for services and goods and third-party financing arrangements;
healthcare expenditure by function (ICHA-HC) — which details the split in healthcare expenditure following the purpose of healthcare activities — such as, curative care, rehabilitative care, long-term care, or preventive care;
healthcare expenditure by provider (ICHA-HP) — which classifies units contributing to the provision of healthcare goods and services — such as hospitals, residential facilities, ambulatory health care services, ancillary services or retailers of medical goods.
In addition to the mandatory classification of the Commission Regulations 2015/359 and 2021/1901, Statistics Austria calculates and partly publishes certain items of HC/HP/HF at a lower aggregation level. This is true especially for HC.1.3, HC.4, HC.5.1, HC.5.2, HC.6, HC.7, HP.1, HP.3, HP.4, HP.5, HP.7, HP.8 and HF.3. Additionally, for the calculation on expenditure for State Health Funds financed hospitals (SHF hospitals) Statistics Austria also uses an additional classification not included in the SHA-manual on HF.1.1.2, where it is further differentiated between state/regional government schemes (HF.1.1.2.1) and local government schemes (HF.1.1.2.2). Gross capital formation is compiled by Statistics Austria as a whole but is not differentiated according to the classification of gross fixed capital formation in health systems by type of asset (chapter 11 of SHA manual).
For the years from 2020 onwards, Statistics Austria also classifies current health expenditure data as far as possible into the five COVID-19 memorandum items.
3.3. Coverage - sector
1. Household individual consumption on health, consumption of NPISH and government consumption, including the collective consumption with two exceptions:
Occupational health care (intermediate consumption within establishments) minus an estimated share of occupational health in health providers’ and other medical industries net administration;
“Remunerated” unpaid household production in the form of transfer payments (social benefits in cash) for home care of sick, disabled and elderly persons provided by family members.
SHA 2011 Manual recommends following the standard System of National Account (SNA) rules for drawing the production boundary of health care services, albeit with two notable exceptions:
Occupational health care is included in the national totals of health care spending. In SNA, this item is recorded as ancillary services and part of intermediate production of enterprises and
Part of the cash transfers to private households for care givers of home care for the sick and disabled are treated as the paid household production of health care.
2. Health care financing schemes:
HF1 Government schemes and compulsory contributory health care financing schemes;
HF2 -voluntary health care payment schemes;
HF3 - Household out-of-pocket payment;
HF4 - rest of the world financing schemes.
3. NACE rev. 2, section Q, human health and social work activities.
Additionally, Statistics Austria includes (parts of) other NACE-groups (NACE rev.2) if they are within the scope of SHA:
section C.21: Manufacture of basic pharmaceutical products and pharmaceutical preparations;
section C.26.60: Manufacture of irradiation, electromedical and electrotherapeutic equipment;
section C.32.5: Manufacture of medical and dental instruments and supplies;
section H.49.32: Taxi operation;
section O: public administration and defence; compulsory social security;
section S.96.04: Physical well-being activities.
various other NACE as occupational health care is compiled by using intermediate consumption of enterprises.
3.4. Statistical concepts and definitions
SHA concept is the consumption of health care goods and services.
Health care statistics describe the process of providing and financing health care in countries by referring to health care goods and services, its providers and financing. For the collection of the data on health care expenditure the System of Health Accounts (SHA) and its related set of International Classification for the Health Accounts (ICHA) is used. SHA is a tri-axial system in which the financing, provision and consumption dimensions are covered by the ICHA (International Classification for Health Accounts): Health Care Functions (HC), Health Care Providers (HP), Health Care Financing Schemes (HF).
Data are presented in 3 summary (one-dimensional) tables and 3 cross-classification tables (2-dimensional tables).
Summary tables provide data on:
Current expenditure by provider (ICHA-HP);
Current expenditure by function (ICHA-HC);
Current expenditure by financing scheme (ICHA-HF).
Cross-classification tables refer to:
HC x HP: Health care expenditure by function and provider: data on which type of health care goods and services are supplied by which health care provider;
HC x HF: Health care expenditure by function and by financing scheme: data on how are the different types of services and goods financed;
HP x HF: Health care expenditure by provider and by financing scheme: data on from which health care provider and under which particular financing scheme are the services and goods purchased.
The classifications and definitions presented in the SHA 2011 manual are to be followed. Additional guidelines and material useful for compilers are also available at this address.
3.5. Statistical unit
Commission Regulation (EU) 2021/1901, and Commission Regulation (EU) 2015/359 previously in force, concern the collection of data on "current expenditure on healthcare" which is defined as the "final consumption expenditure of resident units on health care goods and services".
There is a very close relationship between the concept of "final consumption expenditure" as defined in the System of Health Accounts (SHA) and in National Account and, as a consequence, also between the underlying economic transactions as recorded in the two accounting frameworks.
In National Accounts there are two types of statistical units: institutional units and local kind-of-activity units (KAU). A local KAU groups all the parts of an institutional unit in its capacity as producer which are located in a single site. A local KAU belongs to one and only one institutional unit.
SHA uses the same two types of units for data compilation.
Local KAUs operating as providers of healthcare goods and services to resident units are statistical units in SHA.
Also transactions by institutional units are recorded in SHA, in which framework institutional units are also referred to as "financing agents". More precisely, SHA financing agents are institutional units that manage one or more financing schemes. The transactions are executed by the financing agents, according to the rules of the financing schemes.
Financing agents serve as key statistical units in producing national health accounts. While financing schemes are the key units for analysing how the consumption of health care goods and services is financed, the data concerning the relevant transactions are collected either from the financing agents that operate the different financing schemes or from the providers.
The concept of "healthcare financing schemes" in SHA is an application and extension of the concept of "social protection schemes" defined by the European System of Social PROtection Statistics (ESSPROS): "a distinct body of rules, supported by one or more institutional units, governing the provision of social protection benefits and their financing ...". The social protection scheme is the statistical unit in ESSPROS. It is an analytical unit that allows describing the complete structure of the social protection financing system: expenditure and receipts.
According to SHA Manual 2011, "the key concepts for describing the structure of the health care financing system are based on measuring: (a) the expenditure of health care financing schemes, under which goods and services are purchased directly from health care providers, on the one hand, and (b) the types of revenues of health care financing schemes, on the other hand.
Commission Regulation (EU) 2021/1901 and (prior Commission Regulation (EU) 2015/359) limits its scope to the collection of data on the expenditure of health care financing schemes.
3.6. Statistical population
SHA focuses on the consumption of health care goods and services by the resident population irrespective of where this takes place. This implies the inclusion of imports (from non-resident providers) and the exclusion of exports (health care goods and services provided to non-residents).
3.7. Reference area
The data aims at providing a complete overview of expenditure on health care goods and services, consumption of services and goods respectively, by the resident population irrespective of the location where the consumption takes place.
3.8. Coverage - Time
Detailed data according to SHA 2011 is available from 2004-2022 for Austria.
3.9. Base period
Not applicable.
Current expenditure data are presented according to following units:
expenditure amount in millions of euro;
expenditure amount in millions of national currency;
expenditure amount in millions of PPS;
percentage of GDP;
amount in euro per capita;
amount in national currency per capita;
amount in PPS per capita;
percentage of current health expenditure (CHE).
Health care expenditure data are annual data, corresponding to the calendar year.
This quality report covers the following reference years: 2004-2022.
6.1. Institutional Mandate - legal acts and other agreements
Countries submit data to Eurostat on the basis of Commission Regulations (EU):
2015/359 of 4 March 2015 implementing Regulation (EC) No 1338/2008 of the European Parliament and of the Council as regards statistics on healthcare expenditure and financing, until the reference year 2020;
2021/1901 of 29 October 2021 implementing Regulation (EC) No 1338/2008 of the European Parliament and of the Council as regards statistics on health care expenditure and financing, for which the first reference year was in 2021.
The implementing Regulations specify the areas and the level of aggregation to be submitted by EU Member States and EEA countries (see Annex II of the Regulation).
6.2. Institutional Mandate - data sharing
Data collection takes place in agreement with the World Health Organization (WHO) and the Organization of Economic Co-operation and Development (OECD).
All legal requirements are met and Statistics Austria’s guidelines are followed. The publication of SHA data is done at relatively high aggregated data-level, detailed data is not published or distributed. For most data sources, only aggregated data already (partly) published elsewhere is used. If data from financial reports or other information of single units is considered, it is secured that a sufficient number of units are aggregated together to be able to publish the relevant HF/HC/HP combination.
8.1. Release calendar
Aggregated results on health care expenditure as well as in the three SHA-dimensions and figures for public spending for State Health Funds financed hospitals are published at a national level in Mid-February at the latest for t-2 on Statistics Austria's website alongside a press release. Public expenditure for State Health Funds financed hospitals are also published end of September for t-1. The figures of the flash estimation for t-1 are published at the end of June alongside a press release as well.
Next data releases are published in the Statistics Austria’s release calendar.
In line with the Community legal framework and the European Statistics Code of Practice Eurostat disseminates European statistics on Eurostat's website (see item 10 - 'Accessibility and clarity') respecting professional independence and in an objective, professional and transparent manner in which all users are treated equitably. The detailed arrangements are governed by the Eurostat protocol on impartial access to Eurostat data for users.
Annual.
10.1. Dissemination format - News release
Both the flash estimation of t-1 in June and the publication of detailed data of t-2 in Mid-February at the latest are accompanied by a press release by Statistics Austria in German and English.
10.2. Dissemination format - Publications
In addition to the data publications mentioned under 8.1., SHA data are published in Statistics Austria's yearly publication "Statistisches Jahrbuch Österreichs" (last edition: Statistics Austria (2023): Statistisches Jahrbuch Österreichs 2024) which can be ordered on Statistics Austria's website.
Another publication of Statistics Austria including SHA data is the yearly publication "Jahrbuch der Gesundheitsstatistik" (last edition: Statistics Austria (2024): Jahrbuch der Gesundheitsstatistik 2022) which also can be ordered on Statistics Austria's website.
In addition, several articles on SHA or containing SHA data were published in Statistics Austria’s monthly publication “Statistische Nachrichten”. The most recent articles were:
Prammer-Waldhör, M./ Hackl, M./Ihle, P./Klimont, J./Leitner, B./Kavlik, W./Schappelwein, E./Schimmerl, J. (2024): Gesundheitsstatistik 2022. In: Statistik Austria (2023): Statistische Nachrichten 03/2024.
Kavlik, W./Schappelwein, E./Schimmerl, J. (2023): Gesundheitsausgaben in Österreich nach System of Health Accounts 1990-2022. In: Statistik Austria (2023): Statistische Nachrichten 09/2023.
Prammer-Waldhör, M./ Hackl, M./Ihle, P./Klimont, J./Leitner, B./Kavlik, W./Schappelwein, E./Schimmerl, J. (2023): Gesundheitsstatistik 2021. In: Statistik Austria (2023): Statistische Nachrichten 03/2023.
Prammer-Waldhör, M./ Hackl, M./Ihle, P./Klimont, J./Leitner, B./Kavlik, W./Schappelwein, E./Schimmerl, J. (2022): Gesundheitsstatistik 2020. In: Statistik Austria (2022): Statistische Nachrichten 04/2022.
Klimont, J. / Baldaszti, E. / Kalmar, M (2017): Stationäre Gesundheitsversorgung in Österreich. In: Statistik Austria (2017): Statistische Nachrichten 07/2017.
Kalmar, M / Kavlik, W (2015): System of Health Accounts – Gesundheitsausgaben in Österreich 1990-2013. In: Statistik Austria (2015): Statistische Nachrichten 08/2015.
10.3. Dissemination format - online database
On the national level, Statistics Austria provides ods.-files with main aggregates as well as the three cross-classification tables, one table where all three dimensions are represented and one table where public spending for State Health Funds financed hospitals per Federal State is presented on Statistics Austria’s website. Furthermore, SHA data from 2004 onwards is available in the Statistics’ Austria online database. Data can also be obtained at the health-databases of OECD, EUROSTAT and WHO.
10.4. Dissemination format - microdata access
Not applicable.
10.5. Dissemination format - other
SHA data are used as a base line for evaluating the ongoing target-based health care governance in Austria.
Recent major publications using/containing SHA data are e.g.:
Bachner, Florian et al. (2018): Austria: Health system review. Health Systems in Transition. 2018; 20(3): 1 – 256
Furthermore, the Federal Ministry responsible for health refers to the SHA data calculated by Statistics Austria on its homepage.
Moreover, Austrian SHA data is used in countless other publications, surveys, web-based texts etc.
10.6. Documentation on methodology
A detailed methodological documentation (Statistics Austria 2020: Standard-Dokumentation Metainformationen (Definitionen, Erläuterungen, Methoden, Qualität) zu Gesundheitsausgaben nach System of Health Accounts für Österreich) is published in German at Statistcs Austria’s website, an excerpt in English of this documentation can also be found there.
10.7. Quality management - documentation
Not available.
11.1. Quality assurance
Authorities responsible for SHA data collection work to ensure that the statistical practices used to compile national health accounts are in compliance with SHA methodological requirements and that good practices in the field are being followed, according to the methodology underlined in the SHA 2011 Manual and European Statistics Code of Practice respecting professional independence of the statistical authorities. Procedures are in place to plan and monitor the quality of the health care expenditure statistical production process.
Quality criteria for Statistics Austria are also set out in the “Bundesstatistikgesetz 2000” (§14 and §24), and in the quality guidelines of Statistics Austria. Additional measures undertaken to guarantee high quality of SHA data compilation are internal audits carried out by Statistics Austria, an annual presentation and discussion of results and methods with main users of SHA data and regular feedback dialogues with the quality management unit of Statistics Austria, colleagues from Statistics Austria, SHA data users and experts on methodological and quality aspects.
In 2019, as a member of the Task Force on health care expenditure statistics, Statistics Austria participated in a project implemented by Eurostat to improve and support health expenditure statistics. During this project, a one-day visit took place, where Statistics Austria provided Eurostat broad insight in the Austrian SHA production process. As a result of this knowledge exchange, a detailed description of the SHA production process in Austria was created, which is available on Circabc to members of the Eurostat group Public health statistics.
11.2. Quality management - assessment
The quality of SHA figures from Statistics Austria can be considered to be quite high. Areas where data is not fully in line with SHA guidelines or are partially missing are outlined under 12.3.
12.1. Relevance - User Needs
The main users of health care expenditure data are policy makers, research institutes, media, and students.
Main users of SHA data in Austria are Federal Ministries (especially the Ministry responsible for health), regional and local governments and the social insurance funds as well as the Court of Audit for policy making and policy evaluation purposes. SHA data is e.g. the basis for the target-based health care governance to monitor the effects of the most recent health reform in Austria (especially for public expenditure).
Social partners also use the data to formulate their opinion on policy issues. Research institutions like WIFO, IHS, Gesundheit Österreich etc. use SHA data for research projects and studies. Media, education institutions like universities, other research institutions, students and the general public also are requesting SHA data on an ad-hoc basis depending on the question they are dealing with.
Key indicators that are often requested are health expenditure in general, public and private expenditure, expenditure on long-term care, expenditure on a wide range of functions of health care, expenditure on hospitals, expenditure by age and gender, etc.
Statistics Austria observed unmet user needs (due to insufficient data on these topics) especially in questions on health expenditure on specific diseases, total pharmaceuticals expenditure (HC.RI.1) and regional break-downs of health expenditure. The latter is compiled only for State Health Funds financed hospitals but not for other parts of the health care sector.
12.2. Relevance - User Satisfaction
User satisfaction is discussed annually when presenting and discussing main results and methods of SHA with main users in a designated meeting. Also, there are regular feedback dialogues with the quality management unit of Statistics Austria, colleagues from Statistics Austria, SHA data users and experts on methodological and quality aspects. Feedback from main users is incorporated in the compilation of SHA figures if feasible and possible.
12.3. Completeness
Overall, SHA data for Austria can be considered almost complete. One slight deviation from SHA-definition occurs in HF.3, were Household out-of-pocket payment is in large parts calculated according to the domestic concept (including exports, excluding imports health goods and services) and not for all residents, irrespective of the location of transaction. As a consequence, data for HP.9 (Rest of the world) is partially missing as it is not yet possible to identify all Out-of-Pocket Payments of Household for several medical services abroad. Other items were data is partially missing are
HP.7.1: where it is not possible to identify all health-related administration costs of ministries apart from the Ministry responsible for health and of regional government administration.
HC.4.3: OOP-expenditure for transportation in conventional vehicles (e.g. taxi).
HC.5.1: medicines purchased via internet and illegally purchased medicines.
HC.6: occupational health care expenditure for the entire public administration as well as for hospitals, medical practices and residential long-term care facilities.
HC.6.6: only covers expenditure regarding COVID-19.
However, these topics all can be considered relatively minor in terms of the volume of expenditure.
Within the categories of the three SHA-dimensions, there are also some minor topics where a clear distinction between SHA categories is not always possible:
Utilisation of income tax deductibles are not assigned to government schemes and conditional cash transfers of government to households for (dominantly) medical goods (HC.5) are reported as OOP.
Expenditure on HC.1.4 is to a large extent reported in HC.1.3.
Expenditure on HC.3.3 is to a large extent reported in HC.1.3.
Data for HC.2.2 & HC.2.4 is not available and/or reported in other HC.2-sub-categories.
Expenditure for prescribed medicines, which are not reimbursed by social health insurance schemes (HF.1.2.1), is not reported in HC.5.1.1 but in HC.5.1.2.
Expenditure on HC.6.3 apart from COVID-19 related expenditure is reported in HC.6.4.
Data for HP.4.9 (Other providers of ancillary services) is mostly reported under HP.3 and HP.5. We may not rule out that part of this expenditure is also missing.
Expenditure on HP.1.2 is reported in HP.1.1.
Expenditure on HF.1.2.2 is reported in HF.2.1.
Parts of HF.3.2 may be included in HF.3.1.
13.1. Accuracy - overall
The sources to compile the data on health care expenditure are mainly administrative and register-based data, only a small percentage of the figures come from surveys or other means. Accordingly, for the health care expenditure data collection, accuracy deals with problems of coverage as the main possible source of errors.
Overall accuracy of Austrian SHA data can be considered to be quite good. Known under-coverages are explained in detail under 12.3.
13.2. Sampling error
Not applicable as Statistics Austria does not use any surveys directly for the compilation of SHA data. However, some of the data sources (e.g. from National Accounts) are based on results of surveys (e.g. consumer survey).
13.3. Non-sampling error
Not applicable as Statistics Austria does not use any surveys directly for the compilation of SHA data. However, some of the data sources (e.g. from National Accounts) are based on results of surveys (e.g. consumer survey).
14.1. Timeliness
Member States were required to transmit their data to Eurostat in compliance with the Commission Regulation (EU) 2015/359 transmission deadlines, until reference year 2020. As of reference year 2021, data are transmitted pursuant to Commission Regulation (EU) 2021/1901. Data and reference metadata for the reference year T should be transmitted to Eurostat by 30 April T+2.
Statistics Austria transmits SHA data for t-2 annually to EUROSTAT by March 31st latest in line with the deadline set out by IHAT for the JHAQ. National publication takes place in Mid-February for t-2 at the latest. A flash estimate of (highly aggregated) SHA-data for t-1 is published nationally and transmitted to OECD/EUROSTAT/WHO at the end of June since 2018.
14.2. Punctuality
There were no deviations from deadlines in the reference period.
15.1. Comparability - geographical
Not applicable.
15.2. Comparability - over time
Data according to SHA 2011 is available from 2004-2022 for Austria and comparable over this time frame with one minor exemption, namely a minor break between 2007 and 2008 (see below).
Breaks in time series resulting from methodological changes
Year
Items affected by the break
Explanations
2008
HF.3xHC.3.4xHP.3.5
24-hour nursing care in Austria is "legalised" since 2007 as restrictions on working times were liberalized to enable this form of nursing care. At the same time, a public support measure for financing this form of nursing care was introduced. The estimation of private expenditure on 24-hour nursing care uses both the number of registered care-givers as well as the amount of the public support measure. As data for 2007 is considered only to be partial the estimation is carried out only for the years 2008 onwards. However, even before 2007 this form of nursing care in Austria was practiced but could not be estimated due to missing data on this "shadow economy" before 2007.
15.3. Coherence - cross domain
Regarding coherence with the National Accounts framework, the compilation process of Austrian SHA data basically follows the recommendation of the SHA Manual as explained in section 3.3. including the exceptions for occupational health care and household production:
Occupational health care is included in the totals of private health care spending. In SNA, this item is recorded as ancillary services and part of intermediate production of enterprises.
Part of the cash transfers to private households for care givers of home care for the sick and disabled are treated as the paid household production of health care (informal health care).
As stated in 3.1., Austrian SHA data concerns itself primarily with healthcare goods and services that are consumed by resident units, irrespective of where that consumption takes place or who is paying for it. As such, exports of healthcare goods and services (to non-resident units) are excluded, whereas imports of healthcare goods and services for final use are included. As an exception from this, household out-of-pocket payment is in large parts calculated according to the domestic concept (including exports, excluding imports health goods and services) and not for all residents, irrespective of the location of transaction (see 12.3.). Nevertheless, data from the travel balance of payments statistics is used to compile imports of health services accounted in HP.9.
SHA and ESSPROS are based on different underlying concepts as e.g. SHA is based on final consumption whereas ESSPROS is based on total expenditure. Also, e.g. in the domain of LTC SHA core variables are only focusing on health-related LTC whereas ESSPROS takes into account also the social aspects of LTC. A full coherence between these different approaches is therefore not achieved. In addition, compilation methods for SHA and ESSPROS are different in Statistics Austria and therefore data cannot be mapped from one approach to the other.
15.4. Coherence - internal
Internal coherence of SHA tables is achieved. For consistency checks and validation methods see 18.4.
Currently, around 2.1 persons (full-time equivalents) are working on compiling SHA data in Austria.
As the compilation of SHA data almost exclusively relies on secondary data (data that is already collected and compiled for other purposes) the direct burden on respondents is rather small. Only a few institutions (Federal Ministries, regional State governments, social insurance funds, Austrian economic chambers) are providing additional data at our request where detailed data is not readily available in the data sources used for SHA compilation. In most cases, this data is already readily available within these institutions for other purposes, only in a limited number of cases the respondents need to carry out additional research within the source data or provide tailor-made data/statistics.
17.1. Data revision - policy
Data are routinely revised annually for the latest 2-3 years, as all data are expected to be final at that time.
Data are often revised for longer or even for the whole time-series, if fundamental changes in methodology take place (e.g. ESA 2010 implementation, implementation of SHA 2011) or main data inputs undergo major revisions (e.g. ESA Benchmark revisions).
Data for the most recent year (t-1) are preliminary.
17.2. Data revision - practice
In general, with each data submission t-2 is newly compiled and the two previous data years are revised. Additionally, in 2016 a major revision was undertaken to implement SHA 2011 for data years 2011-2014. In 2018, another major revision was carried out to compile data according to SHA 2011 also for data years 2004-2010 and to also revise data for 2011-2015 due to some new insights gained by compiling the time-series 2004-2016.
18.1. Source data
Several data sources are used (as of data notification in March 2024):
Surveys/census: 4;
Public administrative records: 9;
Financial reports: 3;
Other: 11.
Surveys/censuses
Source name
Brief description of source
Primary SHA variable(s) using this data source
Time period covered by this data source
Timeliness
(Number of months after the end of the accounting period)
Frequency
Processing
Non-profit institutions (S.15) register
SHA-relevant non-profit institutions are chosen (activity partly estimated by other data sources) and final consumption is calculated for SHA-relevant units out of information on expenditure and revenues of these units included in this registry
for data adjustments/manipulation see 18.5 Data compilation
Statistics on expenditure for health care within the military forces by Federal Ministry of Defence
Usage: estimation of health care expenditure within the military forces, coverage unknown
HF.1.1 (financing HC.1; HP.1, HP.3, HP.8)
2004-2022
pilot estimation: 2003 ad-hoc estimation:2013, 2014
for data adjustments/manipulation see 18.5 Data compilation
Internet and literature inquiry on prices of 24-hour nursing providers/agencies by Statistics Austria-SHA Team
Usage: estimation of expenditure for 24-hour nursing care services
HF.3 (financing HC.3, HP.3)
2008-2022
Last conducted in 2019
for data adjustments/manipulation see 18.5 Data compilation
Publication of the Federal Ministry responsible for health on long-term care facilities
Information on long-term care beds and beds for social care in long-term care institutions
used for pro-rating of SHA-relevant private expenditure in long-term care institutions (see estimation methods in 18.5)
2004-2022
6 months
annual
for data adjustments/manipulation see 18.5 Data compilation
Public administrative records
Source name
Brief description of source
Primary SHA variable(s) using this data source
Time period covered by this data source
Timeliness
(Number of months after the end of the accounting period)
Frequency
Processing
Annual accounts of central, provincial and local governments
Annual records of spending financed by these governments, large part of activities (some activities delegated to (non-market) public corporations and funds)
HF.1.1/HF.1.2.1 (financing all HC, except HC.9; all HP, except HP.9)
2004-2022
6 months (at least preliminary data) by regulation
annual
for data adjustments/manipulation see 18.5 Data compilation
Annual accounts of social security funds
Annual records on spending financed by social security funds; coverage 100% of all activity
HF.1.2.1/HF.1.1 (financing all HC except HC.9; all HP and HF.3.2 (financing HC.1, HC.2, HC.4, HC.5; HP.1, HP.3, HP.4, HP.5)
2004-2022
6 months (at least preliminary data) by regulation
annual
for data adjustments/manipulation see 18.5 Data compilation
Annual hospital statistics provided by Federal Ministry responsible for health
Annual data on various administrative variables (beds, costs, transfers, etc.) for hospitals, coverage ~100% of units
HF.2.2 (financing HC.1; HP.1) and HF.3 (HC.1; HP.1), also used for quota and extrapolation (18.5 Data compilation), plausibility checks, etc.
2004-2022
6 months (at least preliminary data) by regulation
annual
for data adjustments/manipulation see 18.5 Data compilation
National Accounts (expenditure account)
Final consumption expenditure of governments/(non-market) public corporations in National Accounts classified by COFOG (07 Health); coverage 100% of all activity
Statistics on compensation of health care employees within judiciary by Federal Ministry of Justice
Usage: expenditure for health care personnel within judiciary; coverage 100% of all activity
HF.1.1 (financing HC.1, HP.8)
2005-2022
6 months
annual
Statistics on expenditure of federal and provincial governments for 24-hour nursing care allowance services by official nursing care level (Federal Ministry responsible for health & provincial government of Lower Austria, Vorarlberg & Burgenland)
Usage: estimation of public expenditure for 24-hour nursing care services
HF.1.1 and HF.3 (financing HC.3, HP.3)
2008-2022
11 months
annual
for data adjustments/manipulation see 18.5 Data compilation
Regular reports of provincial governments on activities and spending for social protection
Final consumption expenditure of provincial and partly local governments as well as private households (2004-2022), coverage depends on province
6 months (at least preliminary data) by regulation
annual
for data adjustments/manipulation see 18.5 Data compilation
Other
Source name
Brief description of source
Primary SHA variable(s) using this data source
Time period covered by this data source
Timeliness
(Number of months after the end of the accounting period)
Frequency
Processing
National Accounts (expenditure account)
Final consumption expenditure of households in National Accounts classified by COICOP (06 Health). Data sources herein are National Accounts calculations, household budget surveys, statistics of the Austrian Chamber of Pharmacists, statistics of the Austrian Association of Opticians, hospital statistics provided by Ministry of Health, accounts of social security funds, service charge of (supplementary) voluntary health insurance, etc.; coverage ~100% of all activity
HF.3 (financing HC.1-HC.6; HP.1-HP.5; HP.8) and HF.2.1.2 (financing HC.7; HP.7)
2004-2022
6 months (preliminary data)
annual
for data adjustments/manipulation see 18.5 Data compilation
National Accounts (expenditure account)
Final consumption expenditure of non-profit institutions (S.15), coverage ~100% of units, activity partly estimated by other data sources
HF.2.2 (financing HC.2; HP.2)
2004-2022
6 months (preliminary data)
annual
for data adjustments/manipulation see 18.5 Data compilation
Nationals Accounts (supply and use tables)
Usage: intermediate consumption of health care services within corporations (occupational health care); coverage ~100% of all activity
HF.2.3 (financing HC6; HP.8)
2004-2022
36 months
annual
for data adjustments/manipulation see 18.5 Data compilation
National Accounts (expenditure account)
Gross fixed capital formation of governments/(non-market) public corporations (S.13) in National Accounts (NA) classified by COFOG (07 Health) and of non-profit institutions (S.15) in NA classified by NACE 86 and parts of NACE 87 and of corporations (S.11, S.14) in NA classified by NACE 86 and parts of NACE 87; coverage 100% of all activity
HK.1.1
2004-2022
3/6 months (preliminary data)
annual
for data adjustments/manipulation see 18.5 Data compilation
Rest of the World accounts
Mirror data on private consumption of dental services abroad from travel statistics
HF.3 (financing HC.1; HP.9)
2004-2022
irregular update
National Accounts (expenditure account)
Final consumption expenditure of long-term care facilities (CPA 87-88), coverage ~100% of units
HF.3 (financing HC.3; HP.2)
2004-2022
6 months (preliminary data)
annual
for data adjustments/manipulation see 18.5 Data compilation
Statistics Austria: Statistics on social assistance
Public and private expenditure on health care and long-term care
HF.1.1 (financing HC.1-HC.3; HP.1-HP.3) and HF.3 (financing HC.3; HP.3)
2004-2022
11 months
annual
Statistics Austria: Statistics on long-term care
Public and private expenditure on health care and long-term care
HF.1.1 (financing HC.3; HP.2-HP.3) and HF.3 (financing HC.3; HP.3)
2011-2022
11 months
annual
Several detailed information from Main association of Austrian social insurances
Annual data on various administrative variables (costs of detailed positions of financial accounts, total revenues of physicians, health care relevant quotas, expenditure on medical goods and medicines, number of consultations with physicians etc.) from the Austrian social insurances
used for quota (see 18.5 Data compilation)
2004-2022
6 -12 months depending on data source
annual
for data adjustments/manipulation see 18.5 Data compilation
Statistics, reports and several detailed information from central and provincial government
Data on various variables regarding COVID-19 related expenditure (detailed information about positions of annual accounts, refunding process from central to provincial government, etc.)
HF.1.1 (financing all HC except HC.7 and HC.9; all HP except HP.9)
2020-2022
6 months (preliminary data)
irregular update
for data adjustments/manipulation see 18.5 Data compilation
Statistics and several detailed information from Main association of Austrian social insurances
Data on various variables regarding COVID-19 related expenditure (e.g. detailed information about positions of annual accounts, etc.)
HF.1.2.1 (financing HC.1 and HC.6; HP.3 and HP.4) and HF.1.1 (financing HC.1, HC.2, HC.3, HC.4, HC.5, HC.6; HP.3, HP.4, HP.5, HP.6)
2020-2022
6 months (preliminary data)
irregular update
for data adjustments/manipulation see 18.5 Data compilation
18.2. Frequency of data collection
Annual.
18.3. Data collection
Data are collected through the joint health accounts questionnaire (JHAQ) that is submitted to Eurostat during the annual data collection exercise. There is a voluntary deadline to send the JHAQ questionnaire for the calendar year T by the 31st of March T+2. The joint health accounts questionnaire (JHAQ) is coordinated in agreement with the World Health Organisation (WHO) and the Organization of Economic Co-operation and Development (OECD). These three international organisations are known collectively as the International Health Accounts Team (IHAT). Data are submitted to Eurostat based on Commission Regulation (EU) 2015/359 of 4 March 2015 implementing Regulation (EC) No 1338/2008 of the European Parliament and of the Council as regards statistics on healthcare expenditure and financing, until reference year 2020. As of reference year 2021 onwards Commission Regulation (EU) 2021/1901 of 29 October 2021 implementing Regulation (EC) No 1338/2008, is in force.
Annual accounts of central, provincial and local governments as well as financial reports of public corporations and government funds (especially State Health Funds) are submitted annually to Statistics Austria (mainly for the purpose of National Accounts and GFS/EDP compilations).
Data for core units of government is submitted standardised and electronically in detail, data for some public corporations and government funds is transmitted via a web-based tool.
Data for social insurance funds is transmitted in a non-standardised form and is processed and coded (also SHA-coded) by Statistics Austria.
Results from National Accounts as well as from several social statistics are obtained from colleagues in Statistics Austria.
Reports of the regional governments on social activity are published on their websites and taken from there.
Additional data/reports/information from some ministries, the Main association of Austrian social insurances, regional/local government, the Austrian Insurance Association and the Austrian economic chambers are submitted by them at request.
18.4. Data validation
The 2023 JHAQ includes a number of features which allow national data correspondents to perform various quality checks before submitting the data. The embedded programmes allow the verification of:
1- Consistency of the data between tables, This step checks if the marginal totals reported in each table of the JHAQ are consistent across all tables. For example, for each function (HC), the total across all financing schemes (HF) in the HCxHF table has to be equal to the total across all providers (HP) in the HCxHP table, i.e. the values in the column “All HF” in the HCxHF table have to be equal to the values in the column “All HP” in the HCxHP table. Any detected differences are flagged up in the corresponding row or column in the relevant tables and all inconsistencies are listed in the “Report” worksheet by variable code together with the amount by which the respective variable differs between the two compared tables. A positive value indicates that the first listed table has a higher value for the same variable, and vice versa.
2- Consistency of the data within tables, Any detected inconsistencies are listed by variable code together with an indication of which total is not equal to the sum of its subcomponents as well as the numerical difference. A positive figure indicates that the total is greater than the reported sub-components, and vice versa.
The presence of negative values,
Entries in the tables cannot be negative as they refer to the consumption of goods and services. If an individual data table is checked for internal consistency, the negative values check is performed for the relevant table and then any negative values are highlighted red and crossed out.
The presence of atypical entries,
The atypical entries check provides information whether the data tables contain values in cells which are – if at all – only reported by very few countries and are thus atypical for health accounting. If an individual data table is checked for internal consistency, the atypical entries check is performed for the relevant table. In the data tables, any cell containing an atypical entry will be highlighted for national data providers. Should any atypical entries be identified, compilers should scrutinize in detail the transactions that led to entries in those cells and assess whether the accounting rules of SHA have been correctly applied. If they come to the conclusion that the transactions are recorded in the correct categories of the ICHA classifications, then the corresponding atypical entries represent unique – and correctly accounted for – features of the country’s health system. In this case a short description of the nature of the transactions should be included in the accompanying Metadata file under “II.3. Atypical entries”. If, on the other hand, compilers come to the conclusion that the transactions are not recorded correctly, then they need to make adjustments in the concerned tables. In case the transactions recorded in a cell do not belong to the boundaries of SHA (e.g. they refer to intermediate consumption) the value of the respective cell should be deleted (and all cells that are affected by this change adjusted accordingly). In case the transactions are misreported and another category of the ICHA classification is more appropriate, the value of the cell should be transferred to the correct cell of the table.
3- The growth rates against the previous year and the magnitude of revisions as compared to previously submitted data. Results are grouped into three different categories:
Breaks in series (the current questionnaire shows no data for an item that is not null in the other file).
Newly reported (the current questionnaire contains data for an item that is empty in the other file).
Differences (all other types of differences).
In addition to the validation features provided by the JHAQ, Statistics Austria carries out several other steps to check and validate its SHA data. Time series for each data source / calculation step are analysed for trends, growth rates and anomalies. Growth of aggregate data is decomposed in its single elements to detect possible miscalculations. New entries and revisions are double-checked and analysed in detail. Consistency between dimensions is achieved as each single calculation is coded with all three corresponding dimensions. Results of years that are not re-transmitted/re-published are also calculated even if there is no change and these results are compared with calculations in previous years to secure consistency of the calculation methods over time.
18.5. Data compilation
SHA data for Austria is compiled both by a bottom-up approach as well as by a top-down approach, depending on the data source. Compilation is done by financing schemes and by different health care functions/task areas. The results of the several calculations are then aggregated.
To gain the differentiation between the different SHA-dimensions (especially HC and HP) quotas and pro-rating and utilisation keys are applied on some spending items. For some spending items it is necessary to extra-/intrapolate data as there is no up-to-date data available or data is missing for certain years. For some other spending items, estimation methods have to be applied.
Several methods are normally used for estimations:
Balancing item/Residual method: For example, if data are available from the financing side, which permit accurate estimation of the flows to a provider or function, then an acceptable estimation method is to subtract these expenditure flows from the total revenues, and derive the expenditure flows from the unmeasured financing scheme as a residual.
Pro-rating/Utilisation key: Typically in the absence of direct spending data, a utilisation key linked to the proportion of resources used can be constructed in order to distribute e.g. aggregate provider spending across functions. For every key a fraction of total utilisation within the cost-unit is assigned: fractions in the key must add up to 100% of all care delivered by the cost-unit. Examples of utilisation keys are admissions, bed-days, contacts, staffing, etc.
Interpolation/Extrapolation: In the absence of data for the period in question, missing values can be estimated using known data points.
Or other.
SHA variable(s)
Main method
Brief description of methodology
HP.1xHF.1 splitting HC.1.1-HC.1.3
Pro-rating/Utilisation key
Total expenditure of HF.1 for hospitals (HP.1) is based on annual accounts of HF.1.1/HF.1.2.1, financial reports of government funds, financial reports of public corporations and regular reports of local governments. This sum is split by HC.1.1/HC.1.2/HC.1.3 cost data stemming from annual hospital statistics provided by the Ministry responsible for health
HP.1xHF.3 splitting HC.1.1-HC.1.3
Pro-rating/Utilisation key
Total expenditure of HF.3 for hospitals is based on final consumption of households in National Accounts (several data sources) and split by HC.1.1/HC.1.2/HC.1.3 hospital revenue data stemming from annual hospital statistics provided by the Ministry responsible for health from 1997 until 2008 and then extrapolated forth and back in time-series.
HF.1.2.1 splitting parts of HC.1.3.1-HC.1.3.3; HP.3.1.1, HP.3.1.3, HP.3.2
and parts of HC.2.1, HC.7.2; HP.1.3, HP.7.2
and parts of HC.1.3.1-HC.1.3.3, HC.2.3, HC.4.1, HC.4.2; HP.3.1.1, HP.3.1.3, HP.3.2, HP.4.2
and parts of HC.1.1, HC.1.3.1, HC.1.3.2, HC.1.3.3, HC.1.3.9, HC.2.1, HC.4.3, HC.5.1, HC.5.2.1-HC.5.2.9, HC.6; HP.1.1, HP.1.3, HP.3.1.1, HP.3.1.3, HP.3.2, HP.3.3, HP.3.4, HP.4.1, HP.5.1, HP.5.2, HP.5.9, HP.9
In addition for 2020-2022: parts of HC.6.3; HP.3.1, HP.4.2
Pro-rating/Utilisation key
Annual accounts of social security funds are provided in detail. Nevertheless, some splits for HF.1.2.1 are only possible by apportioning by number of cases (service charge split on parts of HC.1.3.1, HC.1.3.2, HC.1.3.3; HP.3.1.1, HP.3.1.3, HP.3.2), by health care relevant quota (parts of HC.2.1, HC.7.2; HP.1.3, HP.7.2), by revenues of physicians (parts of HC.1.3.1, HC.1.3.2, HC.1.3.3, HC.2.3, HC.4.1, HC.4.2; HP.3.1.1, HP.3.1.3, HP.3.2, HP.4.2) or by additional detailed expenditure data from the main association of social insurance funds (parts of HC.1.1, HC.1.3.1, HC.1.3.2, HC.1.3.3, HC.1.3.9, HC.2.1, HC.4.3, HC.5.1, HC.5.2.1-HC.5.2.9, HC.6; HP.1.1, HP.1.3, HP.3.1.1, HP.3.1.3, HP.3.2, HP.3.3, HP.3.4, HP.4.1, HP.5.1, HP.5.2, HP.5.9, HP.9). From 2020 to 2022, some COVID-19 related spending items in relation to testing are split by using additional expenditure data from the main association of social insurance funds (HC.6.3; HP.3.1; HP.4.2).
HF.1.1 splitting
HC.1.3.1-HC.1.3.3, HC.6; HP.3.1.1, HP.3.1.3, HP.3.2, HP.3.4 by HF.1.2.1-shares & quota
In addition for 2020-2022: HC.1.3.1-HC.1.3.9, HC.1.4, HC.2.3, HC.3.4, HC.4.2; HC.5.1; HC.6; HP.3.1-HP.3.5, HP.4.2, HP.5.1
Pro-rating/Utilisation key
Some HF.1.1 spending items are obtained by using the annual accounts data of social security funds, which are split in HC.1.3.1-HC.1.3.3, HC.6 and HP.3.1.1, HP.3.1.3, HP.3.2, HP.3.4 by shares and quotas of HF.1.2.1-data (see above). Also, health care expenditure out of social assistance is split into HC.1.3.1; HC.1.3.3; HP.3.1.1, HP.3.1.3by using HF.1.2.1-qutoas. In 2020-2022, some COVID-19 related spending items are split by using additional expenditure data from the main association of social insurance funds (HC.1.3.1-HC.1.3.9, HC.1.4, HC.2.3, HC.3.4, HC.4.2, HC.5.1, HC.6; HP.3.1-HP.3.5, HP.4.2, HP.5.1).
In addition for 2020 and 2021: parts of HC.3.1, HC.3.4, HC.4.3; HP.3.5, HP.4.1
Pro-rating/Utilisation key
For some HF.1.1 spending items, some splits are only possible by applying additional info obtained from reports, additional cost data etc. (HC.1.1, HC.1.2, HC.1.3.3, HC.2.1, HC.6, HC.7.1; HP.1.1, HP.1.3, HP.2, HP.6, HP.7.1). In 2020 and 2021, expenditure of HF.1.1 for personal protective equipment related to COVID-19 for several health providers is mostly only available as a total and is distributed among HC.1.1, HC.1.3, HC.2.1, HC.3.1, HC.3.4, HC.4.3 and HP.1.1, HP.1.3, HP.2, HP.3.5, HP.4.1 applying the expenditure structure of these items of 2020 and 2021.
HF.3 (without HF.3.2) splitting HC.1.3.1, HC.1.3.2, HC.1.3.3, HC.1.3.9, HC.2.1, HC.2.3, HC.4.1, HC.4.2, HC.5.2 (except HC.5.2.1), HC.6; HP.1.3, HP.2, HP.3.1.1, HP.3.1.3, HP.3.2, HP.3.3, HP.3.4, HP.4.2, HP.5.2, HP.5.9 by HF.1.2.1-shares and/or on the basis of value added tax data
Pro-rating/Utilisation key
We can only derive a total for expenditure on out-patient care by HF.3 from National Accounts data (COICOP categories). This total is split into the categories HC.1.3.1/HC.1.3.3/HC.1.3.9/HC.2.1/HC.2.3/HC.4.1/HC.4.2/HC.6 as well as HP.1.3/HP.2/HP.3.1.1/HP.3.1.3/HP.3.3/HP.3.4/HP.4.2 most often by the shares of expenditure of social health insurance for these categories and/or on the basis of value added tax data from the tax statistics. Also, expenditure of HF.3 on HC.1.3.2 is split into HP.3.2 and HP.3.4 and HC.5.2 (except HC.5.2.1) on HP.5.2 and HP.5.9 on the basis of social health insurance expenditure.
and parts of HC.1.3.1, HC.1.3.2, HC.1.3.3, HC.1.3.9, HC.4.3, HC.5.1, HC.5.2.1-HC.5.2.9; HP.3.1.1, HP.3.1.3, HP.3.2, HP.3.3, HP.4.1, HP.5.1, HP.5.2, HP.5.9
Pro-rating/Utilisation key
Data on cost-sharing with social insurances is taken directly from the annual accounts of social security funds. As for HF.1.2.1, some splits are only possible by apportioning by number of cases (service charge split on HC.1.3.1, HC.1.3.2, HC.1.3.3; HP.3.1.1, HP.3.1.3, HP.3.2), or by additional detailed expenditure data from the main association of social insurance funds (parts of HC.1.3.1, HC.1.3.2, HC.1.3.3, HC.1.3.9, HC.4.3, HC.5.1, HC.5.2.1-HC.5.2.9; HP.3.1.1, HP.3.1.3, HP.3.2, HP.3.3, HP.4.1, HP.5.1, HP.5.2, HP.5.9).
HF.2.1.2 splitting HC.5.1.1-HC.5.1.3, HC.5.2.1; HP.5.1, HP.5.2 by HF.3-quota
The annual report of the Austrian Insurance Association provides only data for pharmaceuticals and other non-durables (HC.5.1) and therapeutic appliances (HC.5.2). The former total is split by data of OOP expenditures of households into HC.5.1.1-HC.5.1.3; HP.5.1 and the latter (HC.5.2.1; HP.5.2) is also approximated by the share taken from OOP expenditure. The rest of HC.5.2 is split by expenditure-data of social security funds into HC.5.2.2-HC.5.2.9; HP.5.2, HP.5.9. Also, the expenditure of private health insurances on health care services provided by physicians is split into HC.1.3.1, HC.1.3.3, HC.2.3, HC.4.1, HC.4.2, HC.6; HP.3.1.1, HP.3.1.3, HP.3.4, HP.4.2 based on the shares of social insurance expenditure for these categories from 2015 onwards.
(HF.1.1+HF.3)xHC.3.4xHP.3.5
Other
Based on an internet and literature inquiry the overall expenditure for 24-hour nursing care services was estimated for Austria, using the number of registered care-givers and costs per day as basis for the estimates of the number of persons receiving 24-hour nursing care. Since this service comprises a large share of social long-term care, the expenditure is multiplied by the share of means-tested nursing care hours per month (official care levels used for the calculation of care allowance) to hours per months. The distribution of care levels is taken from the statistics on 24-hour nursing care allowance (provided by the Federal Ministry responsible for health). This result is then reduced by the nursing care relevant share of 24-hour nursing care allowance (that is financed by HF.1.1 and is also reduced by applying the share of means-tested nursing care hours per month to hours per month to obtain the nursing care relevant share of these transfers to households) and categorised as HF.3/HC.3.4/HC.3.5.
HF.1.1xHC.3.4xHP.3.5
Other
In 2020, a COVID-19 bonus payment for 24-hour nursing care-givers was financed by HF.1.1. Since this service comprises a large share of social long-term care, the expenditure is multiplied by the share of means-tested nursing care hours per month (official care levels used for the calculation of care allowance) to hours per months.
HF.3xHC.3.1xHP.2
Interpolation/Extrapolation
As input into National Accounts calculations Statistics Austria has data on the revenue and expenditure structure of institutions classified in CPA 87-88. Therefore, it is possible to calculate the individual consumption expenditure (P.31) for nursing and residential care facilities directly per institution. To do so, the output (P.1) of each of these institutions is calculated and the social transfers in kind (D.632) are subtracted to obtain the individual consumption expenditure (P.31). Additionally, the ratio of long-term care to social housing beds were obtained by an annual publication by the Federal Ministry responsible for health. This ratio was applied on individual consumption expenditure (P.31) of nursing and residential care facilities to obtain only the long-term care associated and therefore SHA-relevant fraction of P.31. Furthermore, payments out of the long-term care allowance that are directly transferred to nursing and residential care facilities to cover part of the associated costs are deducted. However, this method based on detailed data could only be applied for the years 2008-2021. For the years 2004-2007 and 2022 the results are extrapolated (forth and back) by the development of final consumption expenditure of households for in-patient social services in National Accounts (detailed data on COICOP, Social protection).
A pilot survey on expenditure for health care within the military forces was conducted by Federal Ministry of Defence and Sports in 2003. A follow-up estimation of expenditure for the years 2013 and 2014 was conducted by the Ministry 2015. These data points were then inter- and extrapolated for the whole time series 1990-2022 by the overall consumption expenditure of the Ministry.
HF.2.2xHC.2.1xHP.2
Other
For NPISH residential long-term rehabilitation care facilities only the number of beds is known. This number of beds is put in relation to the number of beds for all NPISH-owned acute care hospitals (part of HP.1.1) and then multiplied by expenditure data of NPISH-owned acute care hospitals (part of HP.1.1).
HF.2.2xHC.1.1xHP.1.1
Interpolation/Extrapolation
NPISH-owned acute care hospitals are dominantly financed by governments and social security funds (HF.1). A minor share of deficit financing remains to be an obligation of NPISHs. The amount had been recorded from 1997 until 2022 although the amount has been recorded in a slightly different way after 2008, leading to a minor break in these time series. For years before 2008, the results were extrapolated by linear trending.
SHA-relevant NPISHs providing out-patient curative (HC.1.3.9/HP.3.4) and rehabilitative care (HC.2.3/HP.3.3), home-based long-term care (HC.3.4/HP.3.5), patient transportation (HC.4.3/HP.4.1) and prevention (HC.6/HP.6) are identified via Non-profit institutions (S.15) register. For the years 2004-2022, we were able to calculate the final consumption of the SHA-relevant units at unit-level directly out of the revenue and expenditure information provided by the Non-profit institutions (S.15) registry.
HF.2.3xHC6xHP.8
Interpolation/Extrapolation
Occupational health care estimates stem from National Accounts (supply and use tables), whereby intermediate consumption of health care services within corporations is taken as proxy. Years before 2010 are calculated by using the development of National Accounts' production (P.1) of NACE Rev.2, offices of general medical practitioners and medical specialists.
(HF.1.1+HF.3)xHC.3.4xHP.3.5
Other
For one province (Lower Austria) data on home-based long-term care (used both for calculating HF.1 and HF.3 expenditure) includes expenditure on social assistance. To address this, the share of expenditure on home-based long-term care to home-based long-term care and social assistance of other provinces, for which this data was available, was applied to the expenditure in Lower Austria.
HF.1.1 splitting HC.3.1, HC.3.4; HP.2, HP.8
Interpolation/Extrapolation
A fraction of long-term care allowance is transferred directly to long-term-care facilities to cover part of their costs. This amount is obtained from additional information from the Austrian main association of social security funds. However, as there is no information on this amount before 2014 the share of long-term care allowances transferred directly to HP.2 is held constant (in line with the share observed 2014-2016).
HF.1.1xHP.2 splitting HC.3.1, HC.3.2
Interpolation/Extrapolation
The expenditure information on day cases of long-term care in HP.2 is obtained from Statistics Austria's statistics on long-term care from 2011 onwards. For 2004-2010, this amount is estimated out of the expenditure on inpatient long-term care in HP.2, using the ratio of expenditure on inpatient long-term care to day cases of long-term care in HP.2 from 2011-2016, where this ratio is slightly decreases from 2011 backwards to reflect the growing importance of day cases of long-term care in the Austrian long-term care system.
HK.1xHP.2
Other
A register of all Austrian long-term care facilities is used to estimate the HC.3-part of investments of residential long-term care facilities (HP.2). The number of HC.3 relevant long-term care beds is put in relation to the number of all (nursing care and hostel) beds in residential long-term care facilities (HP.2) and then multiplied by capital expenditure data of this facilities.
HF.1.1 splitting (HC.1.1+HC.1.2+HC.1.3.3)xHP.1 and HK.1.1
Pro-rating/Utilisation key
HF.1.1 spending on HP.1 includes a share of capital transfers to hospitals, which is estimated by financial reports (and expert opinion) of public hospital corporations and annual hospital statistics provided by the Ministry responsible for health and accounted for in HK.1.1.
2020-2022: HF.1.1 splitting parts of HC.1.1, HC.3.1, HC.3.4, HC.6.2, HC.6.3, HC.6.5; HP.1.1, HP.2, HP.3.5, HP.8.2
Other
From 2020 to 2022, for some COVID-19 related expenditure financed by HF.1.1, some splits are only possible by the interpretation of additional non-monetary information of central government and provincial governments. More precisely, this concerns assistance of military service for vaccinations, testing and contact tracing (HC.6.2, HC.6.3, HC.6.5; HP.8.2), treatment vs. quarantining in temporary hospitals (HC.1.1, HC.6.5; HP.1.1), expenditure for inpatient vs. home-based long-term care (HC.3.1, HC.3.4; HP.2, HP.3.5).
18.6. Adjustment
Not applicable.
No further comments.
Health care expenditure quantifies the economic resources dedicated to health functions, excluding capital investment. Healthcare expenditure concerns itself primarily with healthcare goods and services that are consumed by resident units, irrespective of where that consumption takes place (it may be in the rest of the world) or who is paying for it. As such, exports of healthcare goods and services (to non-resident units) are excluded, whereas imports of healthcare goods and services for final use are included. Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing scheme (e.g. social security, private insurance company, household). For the collection of the data on health care expenditure the System of Health Accounts (SHA) and its related set of International Classification for the Health Accounts (ICHA) is used. SHA sets out an integrated system of comprehensive and internationally comparable accounts and provides a uniform framework of basic accounting rules and a set of standard tables for reporting health expenditure data. The System of Health Accounts - SHA 2011 is a statistical reference manual giving a comprehensive description of the financial flows in health care.
It provides a set of revised classifications of health care functions, providers of health care goods and services and financing schemes. The SHA is currently used as a basis for a joint data collection by OECD, Eurostat and WHO on health care expenditure. The manual sets out in more detail the boundaries, the definitions and the concepts of health accounting – responding to health care systems around the globe with very different organisational and financing arrangements.
Accounting period: Health expenditure and financing data pertain to the calendar year (1 January to 31 December).
The time coverage of this quality report is 2004 to 2022 reference years, as at March 2024.
Statistics Austria is compiling SHA data on behalf of and on the basis of a contract with the Federal Ministry responsible for health. Data is published on Statistics Austria’s website. A detailed methodological documentation is also published at Statistics Austria’s website (German only), but an excerpt in English of this documentation is published as well. In addition to the core functions of SHA, Statistics Austria also calculates figures for public and private expenditure on gross fixed capital formation (HK), also relying on the SHA 2011 manual. Additionally, Statistics Austria also compiles SHA figures on public spending for State Health Funds financed hospitals (SHF hospitals, part of HP.1) for all nine Federal States of Austria and also provides figures for all three SHA-dimensions (HC, HP, HF) in one table. For reference year 2019, health care expenditure according to SHA 2011 by Age and Gender was also compiled and is publicly available.
10 July 2024
SHA concept is the consumption of health care goods and services.
Health care statistics describe the process of providing and financing health care in countries by referring to health care goods and services, its providers and financing. For the collection of the data on health care expenditure the System of Health Accounts (SHA) and its related set of International Classification for the Health Accounts (ICHA) is used. SHA is a tri-axial system in which the financing, provision and consumption dimensions are covered by the ICHA (International Classification for Health Accounts): Health Care Functions (HC), Health Care Providers (HP), Health Care Financing Schemes (HF).
Data are presented in 3 summary (one-dimensional) tables and 3 cross-classification tables (2-dimensional tables).
Summary tables provide data on:
Current expenditure by provider (ICHA-HP);
Current expenditure by function (ICHA-HC);
Current expenditure by financing scheme (ICHA-HF).
Cross-classification tables refer to:
HC x HP: Health care expenditure by function and provider: data on which type of health care goods and services are supplied by which health care provider;
HC x HF: Health care expenditure by function and by financing scheme: data on how are the different types of services and goods financed;
HP x HF: Health care expenditure by provider and by financing scheme: data on from which health care provider and under which particular financing scheme are the services and goods purchased.
The classifications and definitions presented in the SHA 2011 manual are to be followed. Additional guidelines and material useful for compilers are also available at this address.
Commission Regulation (EU) 2021/1901, and Commission Regulation (EU) 2015/359 previously in force, concern the collection of data on "current expenditure on healthcare" which is defined as the "final consumption expenditure of resident units on health care goods and services".
There is a very close relationship between the concept of "final consumption expenditure" as defined in the System of Health Accounts (SHA) and in National Account and, as a consequence, also between the underlying economic transactions as recorded in the two accounting frameworks.
In National Accounts there are two types of statistical units: institutional units and local kind-of-activity units (KAU). A local KAU groups all the parts of an institutional unit in its capacity as producer which are located in a single site. A local KAU belongs to one and only one institutional unit.
SHA uses the same two types of units for data compilation.
Local KAUs operating as providers of healthcare goods and services to resident units are statistical units in SHA.
Also transactions by institutional units are recorded in SHA, in which framework institutional units are also referred to as "financing agents". More precisely, SHA financing agents are institutional units that manage one or more financing schemes. The transactions are executed by the financing agents, according to the rules of the financing schemes.
Financing agents serve as key statistical units in producing national health accounts. While financing schemes are the key units for analysing how the consumption of health care goods and services is financed, the data concerning the relevant transactions are collected either from the financing agents that operate the different financing schemes or from the providers.
The concept of "healthcare financing schemes" in SHA is an application and extension of the concept of "social protection schemes" defined by the European System of Social PROtection Statistics (ESSPROS): "a distinct body of rules, supported by one or more institutional units, governing the provision of social protection benefits and their financing ...". The social protection scheme is the statistical unit in ESSPROS. It is an analytical unit that allows describing the complete structure of the social protection financing system: expenditure and receipts.
According to SHA Manual 2011, "the key concepts for describing the structure of the health care financing system are based on measuring: (a) the expenditure of health care financing schemes, under which goods and services are purchased directly from health care providers, on the one hand, and (b) the types of revenues of health care financing schemes, on the other hand.
Commission Regulation (EU) 2021/1901 and (prior Commission Regulation (EU) 2015/359) limits its scope to the collection of data on the expenditure of health care financing schemes.
SHA focuses on the consumption of health care goods and services by the resident population irrespective of where this takes place. This implies the inclusion of imports (from non-resident providers) and the exclusion of exports (health care goods and services provided to non-residents).
The data aims at providing a complete overview of expenditure on health care goods and services, consumption of services and goods respectively, by the resident population irrespective of the location where the consumption takes place.
Health care expenditure data are annual data, corresponding to the calendar year.
This quality report covers the following reference years: 2004-2022.
The sources to compile the data on health care expenditure are mainly administrative and register-based data, only a small percentage of the figures come from surveys or other means. Accordingly, for the health care expenditure data collection, accuracy deals with problems of coverage as the main possible source of errors.
Overall accuracy of Austrian SHA data can be considered to be quite good. Known under-coverages are explained in detail under 12.3.
Current expenditure data are presented according to following units:
expenditure amount in millions of euro;
expenditure amount in millions of national currency;
expenditure amount in millions of PPS;
percentage of GDP;
amount in euro per capita;
amount in national currency per capita;
amount in PPS per capita;
percentage of current health expenditure (CHE).
SHA data for Austria is compiled both by a bottom-up approach as well as by a top-down approach, depending on the data source. Compilation is done by financing schemes and by different health care functions/task areas. The results of the several calculations are then aggregated.
To gain the differentiation between the different SHA-dimensions (especially HC and HP) quotas and pro-rating and utilisation keys are applied on some spending items. For some spending items it is necessary to extra-/intrapolate data as there is no up-to-date data available or data is missing for certain years. For some other spending items, estimation methods have to be applied.
Several methods are normally used for estimations:
Balancing item/Residual method: For example, if data are available from the financing side, which permit accurate estimation of the flows to a provider or function, then an acceptable estimation method is to subtract these expenditure flows from the total revenues, and derive the expenditure flows from the unmeasured financing scheme as a residual.
Pro-rating/Utilisation key: Typically in the absence of direct spending data, a utilisation key linked to the proportion of resources used can be constructed in order to distribute e.g. aggregate provider spending across functions. For every key a fraction of total utilisation within the cost-unit is assigned: fractions in the key must add up to 100% of all care delivered by the cost-unit. Examples of utilisation keys are admissions, bed-days, contacts, staffing, etc.
Interpolation/Extrapolation: In the absence of data for the period in question, missing values can be estimated using known data points.
Or other.
SHA variable(s)
Main method
Brief description of methodology
HP.1xHF.1 splitting HC.1.1-HC.1.3
Pro-rating/Utilisation key
Total expenditure of HF.1 for hospitals (HP.1) is based on annual accounts of HF.1.1/HF.1.2.1, financial reports of government funds, financial reports of public corporations and regular reports of local governments. This sum is split by HC.1.1/HC.1.2/HC.1.3 cost data stemming from annual hospital statistics provided by the Ministry responsible for health
HP.1xHF.3 splitting HC.1.1-HC.1.3
Pro-rating/Utilisation key
Total expenditure of HF.3 for hospitals is based on final consumption of households in National Accounts (several data sources) and split by HC.1.1/HC.1.2/HC.1.3 hospital revenue data stemming from annual hospital statistics provided by the Ministry responsible for health from 1997 until 2008 and then extrapolated forth and back in time-series.
HF.1.2.1 splitting parts of HC.1.3.1-HC.1.3.3; HP.3.1.1, HP.3.1.3, HP.3.2
and parts of HC.2.1, HC.7.2; HP.1.3, HP.7.2
and parts of HC.1.3.1-HC.1.3.3, HC.2.3, HC.4.1, HC.4.2; HP.3.1.1, HP.3.1.3, HP.3.2, HP.4.2
and parts of HC.1.1, HC.1.3.1, HC.1.3.2, HC.1.3.3, HC.1.3.9, HC.2.1, HC.4.3, HC.5.1, HC.5.2.1-HC.5.2.9, HC.6; HP.1.1, HP.1.3, HP.3.1.1, HP.3.1.3, HP.3.2, HP.3.3, HP.3.4, HP.4.1, HP.5.1, HP.5.2, HP.5.9, HP.9
In addition for 2020-2022: parts of HC.6.3; HP.3.1, HP.4.2
Pro-rating/Utilisation key
Annual accounts of social security funds are provided in detail. Nevertheless, some splits for HF.1.2.1 are only possible by apportioning by number of cases (service charge split on parts of HC.1.3.1, HC.1.3.2, HC.1.3.3; HP.3.1.1, HP.3.1.3, HP.3.2), by health care relevant quota (parts of HC.2.1, HC.7.2; HP.1.3, HP.7.2), by revenues of physicians (parts of HC.1.3.1, HC.1.3.2, HC.1.3.3, HC.2.3, HC.4.1, HC.4.2; HP.3.1.1, HP.3.1.3, HP.3.2, HP.4.2) or by additional detailed expenditure data from the main association of social insurance funds (parts of HC.1.1, HC.1.3.1, HC.1.3.2, HC.1.3.3, HC.1.3.9, HC.2.1, HC.4.3, HC.5.1, HC.5.2.1-HC.5.2.9, HC.6; HP.1.1, HP.1.3, HP.3.1.1, HP.3.1.3, HP.3.2, HP.3.3, HP.3.4, HP.4.1, HP.5.1, HP.5.2, HP.5.9, HP.9). From 2020 to 2022, some COVID-19 related spending items in relation to testing are split by using additional expenditure data from the main association of social insurance funds (HC.6.3; HP.3.1; HP.4.2).
HF.1.1 splitting
HC.1.3.1-HC.1.3.3, HC.6; HP.3.1.1, HP.3.1.3, HP.3.2, HP.3.4 by HF.1.2.1-shares & quota
In addition for 2020-2022: HC.1.3.1-HC.1.3.9, HC.1.4, HC.2.3, HC.3.4, HC.4.2; HC.5.1; HC.6; HP.3.1-HP.3.5, HP.4.2, HP.5.1
Pro-rating/Utilisation key
Some HF.1.1 spending items are obtained by using the annual accounts data of social security funds, which are split in HC.1.3.1-HC.1.3.3, HC.6 and HP.3.1.1, HP.3.1.3, HP.3.2, HP.3.4 by shares and quotas of HF.1.2.1-data (see above). Also, health care expenditure out of social assistance is split into HC.1.3.1; HC.1.3.3; HP.3.1.1, HP.3.1.3by using HF.1.2.1-qutoas. In 2020-2022, some COVID-19 related spending items are split by using additional expenditure data from the main association of social insurance funds (HC.1.3.1-HC.1.3.9, HC.1.4, HC.2.3, HC.3.4, HC.4.2, HC.5.1, HC.6; HP.3.1-HP.3.5, HP.4.2, HP.5.1).
In addition for 2020 and 2021: parts of HC.3.1, HC.3.4, HC.4.3; HP.3.5, HP.4.1
Pro-rating/Utilisation key
For some HF.1.1 spending items, some splits are only possible by applying additional info obtained from reports, additional cost data etc. (HC.1.1, HC.1.2, HC.1.3.3, HC.2.1, HC.6, HC.7.1; HP.1.1, HP.1.3, HP.2, HP.6, HP.7.1). In 2020 and 2021, expenditure of HF.1.1 for personal protective equipment related to COVID-19 for several health providers is mostly only available as a total and is distributed among HC.1.1, HC.1.3, HC.2.1, HC.3.1, HC.3.4, HC.4.3 and HP.1.1, HP.1.3, HP.2, HP.3.5, HP.4.1 applying the expenditure structure of these items of 2020 and 2021.
HF.3 (without HF.3.2) splitting HC.1.3.1, HC.1.3.2, HC.1.3.3, HC.1.3.9, HC.2.1, HC.2.3, HC.4.1, HC.4.2, HC.5.2 (except HC.5.2.1), HC.6; HP.1.3, HP.2, HP.3.1.1, HP.3.1.3, HP.3.2, HP.3.3, HP.3.4, HP.4.2, HP.5.2, HP.5.9 by HF.1.2.1-shares and/or on the basis of value added tax data
Pro-rating/Utilisation key
We can only derive a total for expenditure on out-patient care by HF.3 from National Accounts data (COICOP categories). This total is split into the categories HC.1.3.1/HC.1.3.3/HC.1.3.9/HC.2.1/HC.2.3/HC.4.1/HC.4.2/HC.6 as well as HP.1.3/HP.2/HP.3.1.1/HP.3.1.3/HP.3.3/HP.3.4/HP.4.2 most often by the shares of expenditure of social health insurance for these categories and/or on the basis of value added tax data from the tax statistics. Also, expenditure of HF.3 on HC.1.3.2 is split into HP.3.2 and HP.3.4 and HC.5.2 (except HC.5.2.1) on HP.5.2 and HP.5.9 on the basis of social health insurance expenditure.
and parts of HC.1.3.1, HC.1.3.2, HC.1.3.3, HC.1.3.9, HC.4.3, HC.5.1, HC.5.2.1-HC.5.2.9; HP.3.1.1, HP.3.1.3, HP.3.2, HP.3.3, HP.4.1, HP.5.1, HP.5.2, HP.5.9
Pro-rating/Utilisation key
Data on cost-sharing with social insurances is taken directly from the annual accounts of social security funds. As for HF.1.2.1, some splits are only possible by apportioning by number of cases (service charge split on HC.1.3.1, HC.1.3.2, HC.1.3.3; HP.3.1.1, HP.3.1.3, HP.3.2), or by additional detailed expenditure data from the main association of social insurance funds (parts of HC.1.3.1, HC.1.3.2, HC.1.3.3, HC.1.3.9, HC.4.3, HC.5.1, HC.5.2.1-HC.5.2.9; HP.3.1.1, HP.3.1.3, HP.3.2, HP.3.3, HP.4.1, HP.5.1, HP.5.2, HP.5.9).
HF.2.1.2 splitting HC.5.1.1-HC.5.1.3, HC.5.2.1; HP.5.1, HP.5.2 by HF.3-quota
The annual report of the Austrian Insurance Association provides only data for pharmaceuticals and other non-durables (HC.5.1) and therapeutic appliances (HC.5.2). The former total is split by data of OOP expenditures of households into HC.5.1.1-HC.5.1.3; HP.5.1 and the latter (HC.5.2.1; HP.5.2) is also approximated by the share taken from OOP expenditure. The rest of HC.5.2 is split by expenditure-data of social security funds into HC.5.2.2-HC.5.2.9; HP.5.2, HP.5.9. Also, the expenditure of private health insurances on health care services provided by physicians is split into HC.1.3.1, HC.1.3.3, HC.2.3, HC.4.1, HC.4.2, HC.6; HP.3.1.1, HP.3.1.3, HP.3.4, HP.4.2 based on the shares of social insurance expenditure for these categories from 2015 onwards.
(HF.1.1+HF.3)xHC.3.4xHP.3.5
Other
Based on an internet and literature inquiry the overall expenditure for 24-hour nursing care services was estimated for Austria, using the number of registered care-givers and costs per day as basis for the estimates of the number of persons receiving 24-hour nursing care. Since this service comprises a large share of social long-term care, the expenditure is multiplied by the share of means-tested nursing care hours per month (official care levels used for the calculation of care allowance) to hours per months. The distribution of care levels is taken from the statistics on 24-hour nursing care allowance (provided by the Federal Ministry responsible for health). This result is then reduced by the nursing care relevant share of 24-hour nursing care allowance (that is financed by HF.1.1 and is also reduced by applying the share of means-tested nursing care hours per month to hours per month to obtain the nursing care relevant share of these transfers to households) and categorised as HF.3/HC.3.4/HC.3.5.
HF.1.1xHC.3.4xHP.3.5
Other
In 2020, a COVID-19 bonus payment for 24-hour nursing care-givers was financed by HF.1.1. Since this service comprises a large share of social long-term care, the expenditure is multiplied by the share of means-tested nursing care hours per month (official care levels used for the calculation of care allowance) to hours per months.
HF.3xHC.3.1xHP.2
Interpolation/Extrapolation
As input into National Accounts calculations Statistics Austria has data on the revenue and expenditure structure of institutions classified in CPA 87-88. Therefore, it is possible to calculate the individual consumption expenditure (P.31) for nursing and residential care facilities directly per institution. To do so, the output (P.1) of each of these institutions is calculated and the social transfers in kind (D.632) are subtracted to obtain the individual consumption expenditure (P.31). Additionally, the ratio of long-term care to social housing beds were obtained by an annual publication by the Federal Ministry responsible for health. This ratio was applied on individual consumption expenditure (P.31) of nursing and residential care facilities to obtain only the long-term care associated and therefore SHA-relevant fraction of P.31. Furthermore, payments out of the long-term care allowance that are directly transferred to nursing and residential care facilities to cover part of the associated costs are deducted. However, this method based on detailed data could only be applied for the years 2008-2021. For the years 2004-2007 and 2022 the results are extrapolated (forth and back) by the development of final consumption expenditure of households for in-patient social services in National Accounts (detailed data on COICOP, Social protection).
A pilot survey on expenditure for health care within the military forces was conducted by Federal Ministry of Defence and Sports in 2003. A follow-up estimation of expenditure for the years 2013 and 2014 was conducted by the Ministry 2015. These data points were then inter- and extrapolated for the whole time series 1990-2022 by the overall consumption expenditure of the Ministry.
HF.2.2xHC.2.1xHP.2
Other
For NPISH residential long-term rehabilitation care facilities only the number of beds is known. This number of beds is put in relation to the number of beds for all NPISH-owned acute care hospitals (part of HP.1.1) and then multiplied by expenditure data of NPISH-owned acute care hospitals (part of HP.1.1).
HF.2.2xHC.1.1xHP.1.1
Interpolation/Extrapolation
NPISH-owned acute care hospitals are dominantly financed by governments and social security funds (HF.1). A minor share of deficit financing remains to be an obligation of NPISHs. The amount had been recorded from 1997 until 2022 although the amount has been recorded in a slightly different way after 2008, leading to a minor break in these time series. For years before 2008, the results were extrapolated by linear trending.
SHA-relevant NPISHs providing out-patient curative (HC.1.3.9/HP.3.4) and rehabilitative care (HC.2.3/HP.3.3), home-based long-term care (HC.3.4/HP.3.5), patient transportation (HC.4.3/HP.4.1) and prevention (HC.6/HP.6) are identified via Non-profit institutions (S.15) register. For the years 2004-2022, we were able to calculate the final consumption of the SHA-relevant units at unit-level directly out of the revenue and expenditure information provided by the Non-profit institutions (S.15) registry.
HF.2.3xHC6xHP.8
Interpolation/Extrapolation
Occupational health care estimates stem from National Accounts (supply and use tables), whereby intermediate consumption of health care services within corporations is taken as proxy. Years before 2010 are calculated by using the development of National Accounts' production (P.1) of NACE Rev.2, offices of general medical practitioners and medical specialists.
(HF.1.1+HF.3)xHC.3.4xHP.3.5
Other
For one province (Lower Austria) data on home-based long-term care (used both for calculating HF.1 and HF.3 expenditure) includes expenditure on social assistance. To address this, the share of expenditure on home-based long-term care to home-based long-term care and social assistance of other provinces, for which this data was available, was applied to the expenditure in Lower Austria.
HF.1.1 splitting HC.3.1, HC.3.4; HP.2, HP.8
Interpolation/Extrapolation
A fraction of long-term care allowance is transferred directly to long-term-care facilities to cover part of their costs. This amount is obtained from additional information from the Austrian main association of social security funds. However, as there is no information on this amount before 2014 the share of long-term care allowances transferred directly to HP.2 is held constant (in line with the share observed 2014-2016).
HF.1.1xHP.2 splitting HC.3.1, HC.3.2
Interpolation/Extrapolation
The expenditure information on day cases of long-term care in HP.2 is obtained from Statistics Austria's statistics on long-term care from 2011 onwards. For 2004-2010, this amount is estimated out of the expenditure on inpatient long-term care in HP.2, using the ratio of expenditure on inpatient long-term care to day cases of long-term care in HP.2 from 2011-2016, where this ratio is slightly decreases from 2011 backwards to reflect the growing importance of day cases of long-term care in the Austrian long-term care system.
HK.1xHP.2
Other
A register of all Austrian long-term care facilities is used to estimate the HC.3-part of investments of residential long-term care facilities (HP.2). The number of HC.3 relevant long-term care beds is put in relation to the number of all (nursing care and hostel) beds in residential long-term care facilities (HP.2) and then multiplied by capital expenditure data of this facilities.
HF.1.1 splitting (HC.1.1+HC.1.2+HC.1.3.3)xHP.1 and HK.1.1
Pro-rating/Utilisation key
HF.1.1 spending on HP.1 includes a share of capital transfers to hospitals, which is estimated by financial reports (and expert opinion) of public hospital corporations and annual hospital statistics provided by the Ministry responsible for health and accounted for in HK.1.1.
2020-2022: HF.1.1 splitting parts of HC.1.1, HC.3.1, HC.3.4, HC.6.2, HC.6.3, HC.6.5; HP.1.1, HP.2, HP.3.5, HP.8.2
Other
From 2020 to 2022, for some COVID-19 related expenditure financed by HF.1.1, some splits are only possible by the interpretation of additional non-monetary information of central government and provincial governments. More precisely, this concerns assistance of military service for vaccinations, testing and contact tracing (HC.6.2, HC.6.3, HC.6.5; HP.8.2), treatment vs. quarantining in temporary hospitals (HC.1.1, HC.6.5; HP.1.1), expenditure for inpatient vs. home-based long-term care (HC.3.1, HC.3.4; HP.2, HP.3.5).
Several data sources are used (as of data notification in March 2024):
Surveys/census: 4;
Public administrative records: 9;
Financial reports: 3;
Other: 11.
Surveys/censuses
Source name
Brief description of source
Primary SHA variable(s) using this data source
Time period covered by this data source
Timeliness
(Number of months after the end of the accounting period)
Frequency
Processing
Non-profit institutions (S.15) register
SHA-relevant non-profit institutions are chosen (activity partly estimated by other data sources) and final consumption is calculated for SHA-relevant units out of information on expenditure and revenues of these units included in this registry
for data adjustments/manipulation see 18.5 Data compilation
Statistics on expenditure for health care within the military forces by Federal Ministry of Defence
Usage: estimation of health care expenditure within the military forces, coverage unknown
HF.1.1 (financing HC.1; HP.1, HP.3, HP.8)
2004-2022
pilot estimation: 2003 ad-hoc estimation:2013, 2014
for data adjustments/manipulation see 18.5 Data compilation
Internet and literature inquiry on prices of 24-hour nursing providers/agencies by Statistics Austria-SHA Team
Usage: estimation of expenditure for 24-hour nursing care services
HF.3 (financing HC.3, HP.3)
2008-2022
Last conducted in 2019
for data adjustments/manipulation see 18.5 Data compilation
Publication of the Federal Ministry responsible for health on long-term care facilities
Information on long-term care beds and beds for social care in long-term care institutions
used for pro-rating of SHA-relevant private expenditure in long-term care institutions (see estimation methods in 18.5)
2004-2022
6 months
annual
for data adjustments/manipulation see 18.5 Data compilation
Public administrative records
Source name
Brief description of source
Primary SHA variable(s) using this data source
Time period covered by this data source
Timeliness
(Number of months after the end of the accounting period)
Frequency
Processing
Annual accounts of central, provincial and local governments
Annual records of spending financed by these governments, large part of activities (some activities delegated to (non-market) public corporations and funds)
HF.1.1/HF.1.2.1 (financing all HC, except HC.9; all HP, except HP.9)
2004-2022
6 months (at least preliminary data) by regulation
annual
for data adjustments/manipulation see 18.5 Data compilation
Annual accounts of social security funds
Annual records on spending financed by social security funds; coverage 100% of all activity
HF.1.2.1/HF.1.1 (financing all HC except HC.9; all HP and HF.3.2 (financing HC.1, HC.2, HC.4, HC.5; HP.1, HP.3, HP.4, HP.5)
2004-2022
6 months (at least preliminary data) by regulation
annual
for data adjustments/manipulation see 18.5 Data compilation
Annual hospital statistics provided by Federal Ministry responsible for health
Annual data on various administrative variables (beds, costs, transfers, etc.) for hospitals, coverage ~100% of units
HF.2.2 (financing HC.1; HP.1) and HF.3 (HC.1; HP.1), also used for quota and extrapolation (18.5 Data compilation), plausibility checks, etc.
2004-2022
6 months (at least preliminary data) by regulation
annual
for data adjustments/manipulation see 18.5 Data compilation
National Accounts (expenditure account)
Final consumption expenditure of governments/(non-market) public corporations in National Accounts classified by COFOG (07 Health); coverage 100% of all activity
Statistics on compensation of health care employees within judiciary by Federal Ministry of Justice
Usage: expenditure for health care personnel within judiciary; coverage 100% of all activity
HF.1.1 (financing HC.1, HP.8)
2005-2022
6 months
annual
Statistics on expenditure of federal and provincial governments for 24-hour nursing care allowance services by official nursing care level (Federal Ministry responsible for health & provincial government of Lower Austria, Vorarlberg & Burgenland)
Usage: estimation of public expenditure for 24-hour nursing care services
HF.1.1 and HF.3 (financing HC.3, HP.3)
2008-2022
11 months
annual
for data adjustments/manipulation see 18.5 Data compilation
Regular reports of provincial governments on activities and spending for social protection
Final consumption expenditure of provincial and partly local governments as well as private households (2004-2022), coverage depends on province
6 months (at least preliminary data) by regulation
annual
for data adjustments/manipulation see 18.5 Data compilation
Other
Source name
Brief description of source
Primary SHA variable(s) using this data source
Time period covered by this data source
Timeliness
(Number of months after the end of the accounting period)
Frequency
Processing
National Accounts (expenditure account)
Final consumption expenditure of households in National Accounts classified by COICOP (06 Health). Data sources herein are National Accounts calculations, household budget surveys, statistics of the Austrian Chamber of Pharmacists, statistics of the Austrian Association of Opticians, hospital statistics provided by Ministry of Health, accounts of social security funds, service charge of (supplementary) voluntary health insurance, etc.; coverage ~100% of all activity
HF.3 (financing HC.1-HC.6; HP.1-HP.5; HP.8) and HF.2.1.2 (financing HC.7; HP.7)
2004-2022
6 months (preliminary data)
annual
for data adjustments/manipulation see 18.5 Data compilation
National Accounts (expenditure account)
Final consumption expenditure of non-profit institutions (S.15), coverage ~100% of units, activity partly estimated by other data sources
HF.2.2 (financing HC.2; HP.2)
2004-2022
6 months (preliminary data)
annual
for data adjustments/manipulation see 18.5 Data compilation
Nationals Accounts (supply and use tables)
Usage: intermediate consumption of health care services within corporations (occupational health care); coverage ~100% of all activity
HF.2.3 (financing HC6; HP.8)
2004-2022
36 months
annual
for data adjustments/manipulation see 18.5 Data compilation
National Accounts (expenditure account)
Gross fixed capital formation of governments/(non-market) public corporations (S.13) in National Accounts (NA) classified by COFOG (07 Health) and of non-profit institutions (S.15) in NA classified by NACE 86 and parts of NACE 87 and of corporations (S.11, S.14) in NA classified by NACE 86 and parts of NACE 87; coverage 100% of all activity
HK.1.1
2004-2022
3/6 months (preliminary data)
annual
for data adjustments/manipulation see 18.5 Data compilation
Rest of the World accounts
Mirror data on private consumption of dental services abroad from travel statistics
HF.3 (financing HC.1; HP.9)
2004-2022
irregular update
National Accounts (expenditure account)
Final consumption expenditure of long-term care facilities (CPA 87-88), coverage ~100% of units
HF.3 (financing HC.3; HP.2)
2004-2022
6 months (preliminary data)
annual
for data adjustments/manipulation see 18.5 Data compilation
Statistics Austria: Statistics on social assistance
Public and private expenditure on health care and long-term care
HF.1.1 (financing HC.1-HC.3; HP.1-HP.3) and HF.3 (financing HC.3; HP.3)
2004-2022
11 months
annual
Statistics Austria: Statistics on long-term care
Public and private expenditure on health care and long-term care
HF.1.1 (financing HC.3; HP.2-HP.3) and HF.3 (financing HC.3; HP.3)
2011-2022
11 months
annual
Several detailed information from Main association of Austrian social insurances
Annual data on various administrative variables (costs of detailed positions of financial accounts, total revenues of physicians, health care relevant quotas, expenditure on medical goods and medicines, number of consultations with physicians etc.) from the Austrian social insurances
used for quota (see 18.5 Data compilation)
2004-2022
6 -12 months depending on data source
annual
for data adjustments/manipulation see 18.5 Data compilation
Statistics, reports and several detailed information from central and provincial government
Data on various variables regarding COVID-19 related expenditure (detailed information about positions of annual accounts, refunding process from central to provincial government, etc.)
HF.1.1 (financing all HC except HC.7 and HC.9; all HP except HP.9)
2020-2022
6 months (preliminary data)
irregular update
for data adjustments/manipulation see 18.5 Data compilation
Statistics and several detailed information from Main association of Austrian social insurances
Data on various variables regarding COVID-19 related expenditure (e.g. detailed information about positions of annual accounts, etc.)
HF.1.2.1 (financing HC.1 and HC.6; HP.3 and HP.4) and HF.1.1 (financing HC.1, HC.2, HC.3, HC.4, HC.5, HC.6; HP.3, HP.4, HP.5, HP.6)
2020-2022
6 months (preliminary data)
irregular update
for data adjustments/manipulation see 18.5 Data compilation
Annual.
Member States were required to transmit their data to Eurostat in compliance with the Commission Regulation (EU) 2015/359 transmission deadlines, until reference year 2020. As of reference year 2021, data are transmitted pursuant to Commission Regulation (EU) 2021/1901. Data and reference metadata for the reference year T should be transmitted to Eurostat by 30 April T+2.
Statistics Austria transmits SHA data for t-2 annually to EUROSTAT by March 31st latest in line with the deadline set out by IHAT for the JHAQ. National publication takes place in Mid-February for t-2 at the latest. A flash estimate of (highly aggregated) SHA-data for t-1 is published nationally and transmitted to OECD/EUROSTAT/WHO at the end of June since 2018.
Not applicable.
Data according to SHA 2011 is available from 2004-2022 for Austria and comparable over this time frame with one minor exemption, namely a minor break between 2007 and 2008 (see below).
Breaks in time series resulting from methodological changes
Year
Items affected by the break
Explanations
2008
HF.3xHC.3.4xHP.3.5
24-hour nursing care in Austria is "legalised" since 2007 as restrictions on working times were liberalized to enable this form of nursing care. At the same time, a public support measure for financing this form of nursing care was introduced. The estimation of private expenditure on 24-hour nursing care uses both the number of registered care-givers as well as the amount of the public support measure. As data for 2007 is considered only to be partial the estimation is carried out only for the years 2008 onwards. However, even before 2007 this form of nursing care in Austria was practiced but could not be estimated due to missing data on this "shadow economy" before 2007.
