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.
National Reference Metadata in Euro SDMX Metadata Structure (ESMS)
Compiling agency: Statistical Office of the Republic of Slovenia Demography and Social Statistics Division Demography Statistics and Level of Living Section Litostrojska cesta 54, SI-1000 LJUBLJANA Slovenia Phone: +386 1241 5 225 Statistical Office of the R. of Slovenia
Statistical Office of the Republic of Slovenia Demography and Social Statistics Division Demography Statistics and Level of Living Section
Litostrojska cesta 54, SI-1000 LJUBLJANA
Slovenia Phone: +386 1241 5 225
Statistical Office of the R. of Slovenia
1.2. Contact organisation unit
Statistical Office of the Republic of Slovenia Demography and Social Statistics Division Demography Statistics and Level of Living Section
1.3. Contact name
Confidential because of GDPR
1.4. Contact person function
Confidential because of GDPR
1.5. Contact mail address
Litostrojska cesta 54, SI-1000 LJUBLJANA, SLOVENIA
1.6. Contact email address
Confidential because of GDPR
1.7. Contact phone number
Confidential because of GDPR
1.8. Contact fax number
Confidential because of GDPR
2.1. Metadata last certified
15 May 2024
2.2. Metadata last posted
15 May 2024
2.3. Metadata last update
31 May 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).
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.
3.3. Coverage - sector
1. Household individual consumption on health, 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.
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 by the resident population on the national territory of a country.
3.8. Coverage - Time
Detailed data is available from 2003-2022 for Sloveia.
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 reference years from 2018 to 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 will be 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).
SHA data is published at relatively high aggregated data level, detailed data is not published or distributed. When users are making requests at more detailed level, rules written in National statistics act regarding confidentiality are strictly followed.
In line with the National Statistics Act the statistical purpose is providing and disseminating aggregate data on mass phenomena. The ZDSta also stipulates that the data can be used exclusively for statistical purposes, i.e. for disseminating aggregate data, unless otherwise provided by law. On the basis of an application written by a user, individual data can be transmitted, but only in the form and way which does not enable the identification of the unit to which the data refer. The data that enable the identification of the unit to which they refer can only be transmitted to those units to which the data refer or if these units sent the data. Statistical Office can publish the data only in aggregate form, so that it is not possible to identify the unit to which the data refer. The data must be available in the same way (at the same time and under the same conditions) to all users. Only exceptionally can SORS (Statistical Office of the Republic of Slovenia) publish individual data: upon written consent of the reporting unit to which the data refer that they agree with the publication of data in such a way or if the data are collected from public (generally accessible) data collections (records, registers, databases, etc.).
8.1. Release calendar
Data on health expenditure and sources of funding in Slovenia are published annually: in the form of First Release in May for T-2 (Preliminary data for T-2 and Preliminary data for T-1). More detailed data for T-2 in published in October in the Si-Stat data portal.
Release Calendar is available on: Release Calendar (Theme: Quality of Life; Subtheme: Health and Health Care).
Release Calendar on national level is available on: Release Calendar (Theme: Quality of Life; Subtheme: Health and Health Care).
8.3. Release policy - user access
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.
Annually.
Data on health expenditure and sources of funding in Slovenia are published annually in the form of First Release in May for T-2 (Preliminary data for T-2 and Preliminary data for T-1). More detailed data for T-2 in published in October in the Si-Stat data portal.
10.1. Dissemination format - News release
Data on health expenditure in Slovenia are published twice a year, in May and October/November:
First Release (Quality of Life – Health expenditure and sources of funding); (for 2022 preliminary data).
SiStat Database: (Quality of Life – Health expenditure and sources of funding.
10.2. Dissemination format - Publications
Data are published by Statistical Office only in forms of e-Releases and in SiStat data portal (no longer in Publications).
10.3. Dissemination format - online database
Data on health expenditure in Slovenia is in October/November published in online database: SiStat Database: (Quality of Life – Health expenditure and sources of funding.
10.4. Dissemination format - microdata access
Not applicable.
10.5. Dissemination format - other
Other major publications using/containing SHA data are e.g.:
Quality reports that are published on national level are 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.
Checks are carried out for completeness, internal and external consistency and plausibility of the collected internal and external data. Additional measures undertaken to guarantee high quality of SHA data compilation are also regular discussion of results and methods with main users of SHA data
11.2. Quality management - assessment
Checks are carried out for completeness, internal and external consistency and plausibility of the collected internal and external data. Additional measure undertaken to quarantee high quality of SHA data compilation are also regular discussion of results and methods with main users of SHA data.
The quality of SHA figures can be considered to be quite good. Areas where data is not fully in line with SHA guideliness or are partially missing are outlined under 12.3 and 13.3.
12.1. Relevance - User Needs
Main users of SHA data are Ministry for health, Ministry for Labour, Family, Social Affairs and Equal Opportunities, Health Insurance Institute of Slovenia, National Institut for Public Health, as well as Institute of Macroeconomic Analysis and Development and Institute for Economic Research for policy making and policy evaluation process. Most of these institutions also take part in a data compilation process each year and on further improvement of data sources.
SHA data is recently mostly used for the need of preparing some strategic documents and legislation on long-term care.
Media, education institutions like universities, other research institutions, students and the general public also are requesting SHA data on ad-hoc basis.
As concerns unmet needs, one of these is health care expenditure by patient characteristics, which allows monitoring of expenditure by groups of diseases and age and sex of the patient and are therefore important both for long-term growth projections of health care expenditure as well as planning staff in health care (including by specialty).
12.2. Relevance - User Satisfaction
User satisfaction is discussed on yearly basis when discussing main results and methods of SHA with some main users od data, especially with Health Insurance Insitute of Slovenia and Institute of Macroeconomic Analysis and Development. Several contacts are also made during the year when necessary.
12.3. Completeness
Overall, data are complete as far as the Commission regulation is applicable (for exceptions see 13.3 - Coverage error).
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.
13.2. Sampling error
Not applicable.
13.3. Non-sampling error
As for Coverage Error:
Curative and rehabilitative care HC.1. and HC.2.
Input data from Health Insurance Institute of Slovenia - HIIS (social health insurance) prepared for the needs of health accounts are detailed broken down by health care providers and health care functions, therefore there is no deviations regarding the HP classification and no major deviations according to the HC classification. According to data received from HIIS is not possible to exclude expenditure on laboratory services for outpatient patients (HC.4.1.), therefore these expenditure is included in various items of outpatient treatments. Furthermore, from HIIS database we could not obtain information about all daily hospital treatment HC1.2., only dialysis were recorded separately; nevertheless this segment is later in data processing adjusted - from total expenditure of HC.1.1 (HP.1.1) according to additional information on share provided by HIIS of Slovenia - daily cases are deducted and added to HC.1.2.
Ancillary services HC.4.
(HC.4.2) Expenditure on imaging services for rentgen and ultrasound services derivated from HIIS database includes this services only for outpatient patients, which is in line with SHA; while expenditure on magnetic resonance imaging - MRI and computed tomograpfhy - CT is recorded for both, inpatient and outpatient (it can not be separed according to obtained HIIIS database)
NPISH financing shemes (HF.2.2)
Non-profit providers of office services due to problems in data sources have not yet been fully covered, with the exception of one major institution.
Enterprise financing shemes (HF.2.3)
This item only includes “occupational helath examinations”: estimated expenditure for preventive care, data on number of preventive examination for employees multiplied by expert assessment of the average price of one examination.
Cost-sharing with third-party payers (HF.3.2.)
Missing (data not available).
Out of pocket payments (OOP); informal payments
Informal payments are adequately covered in health accounts because estimation of OOP is taken from national accounts statistics (where HBS survey for OOP is taken into account and HBS survey cover also informal household expenditure); only informal payments for long-term health care HC.3. are underestimated (in this HC there is also the largest share of informal payments in Slovenia).
Measurement Errors: Errors in reading, calculating or recording numerical values may appear, but they are usualy recognised at the end of data processing or through validation process (as an outliers).
Processing Error: Typing errors (data entry and data coding) and errors due to misinterpretation (data coding) may appear, but they are usualy recognised at the end of data processing or through validation process. Analysis of processing errors is not carried out on a yearly basis.
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.
14.2. Punctuality
There were no deviations from deadlines in the reference period.
Data for reference year 2022 was transmitted on 30 April 2024 (deadline was: 30 April 2024).
15.1. Comparability - geographical
Not applicable.
15.2. Comparability - over time
Data according to SHA 2011 is available from reference year 2014 to 2022 and is comparable over this time. Data according to previous SHA 1.0. (2000) methodology is available from 2003 – 2013. Break in time series was made with introduction of SHA 2011 methodology.
Year
Items affected by the break
Explanations
2012
HC.3 and HCR.1 financed by all HF
With the introduction of SHA 2011 category of LTC has been detailed explored, i.e. split between health and social component of LTC. Consequently, health component of LTC increased (on behalf of reclassification of certain services and benefits from social to health component) which led to higher total CHE.
15.3. Coherence - cross domain
The SHA figure can be partly reconciled with ESSPROS statistics (inside Sickness/Health care function, Disability and Old age function and Social exclusion n.e.c, considering different health care boundaries between methodologies. The same person also compile ESSPROSS and SHA data.
ESSPROS - SHA linkage (HC functions)
Function
SHA relevance
1. Sickness / Health care
HC.1 Curative care
HC.2 Rehabilitative care
HC.3 Long-term care (health)
HC.4 Ancillary services (non-specified by function)
HC.5 Medical goods non-specified by function
HC.6 Preventive care
2. Disability
HCR.1 Long-term care (social)
3. Old age
HCR.1 Long-term care (social)
4. Survivors
Not relevant
5. Family / Children
Not relevant
6. Unemployment
Not relevant
7. Housing
Not relevant
8. Social exclusion n.e.c.
Social care in relation to health
When compiling the health accounts, we compare the main aggregates SHA with national accounts, specially coherence with following aggregates (taking into account some limits in boundaries of health care):
total SHA current health expenditure with final health consumption from SNA,
current SHA public health expenditure with final SNA government consumption on health care,
current SHA private health expenditure with final SNA consumption for health care of households.
In addition to consumption side, we are also checking indicative alignment with SNA aggregates on production side. Methodological derogations between SHA and SNA on production side are quite large; according to SNA the aggregate of production includes all production of operators registered in healthcare activities (group code 86 of NACE), therefore also the production of non-health products, health products and services for intermediate consumption and production of health services for foreigners, which is not the case of SHA. On the other hand, some health activities, for example, pharmacy activity and management of the health system (administration), are included in other NACE activity codes, but the latter can be taken into account in comparison of aggregates of SHA and SNA.
For public health expenditure on health, we also check the indicative compliance with the general government expenditure per purposes (classification of COFOG) for the field 07-Health, at the aggregate level and at the second level of the COFOG classification. We take into account the cross-code between the classification of health care purposes (HC), the classification of general government purposes (COFOG) and methodological differences between SHA and COFOG methodology.
15.4. Coherence - internal
Internal coherence of SHA tables with NA and ESSPROS is achieved.
Costs for production of statistical data and burden or respondents is not measured, due to the fact that this is mostly on data providers side. Preparing data for SHA needs from side of data providers is very diverse, some data providers needs 5 minutes, others 1 hour, etc. No additional analysis were carried out due to diversity.
17.1. Data revision - policy
Published data on health expenditure and sources of funding in Slovenia have no provisional nor final status of data, since they are subject of regular annual revision either because of changes in the input data themselves, either because of the methodology itself, which is always improving.
We revised data according to revisions of data which present input for SHA data - in general, the most revised is OOP category or expenditure.
Revisions are usually made also because of change of methodology (definition of certain category) - for example, more detailed definition of LTC category, split between health and social component of LTC category.
17.2. Data revision - practice
In general, with each data submission t-2 during the validation process one or two previous data are revised. Usually, the data validation process results in reclassification of figures between the categories on the second digit level within one HC or HP , but as we are currently publishing data at more aggregate levels, revisions acctualy are not detected in the published data.
A major revision for 2010 – 2015 was in 2018, namely due to a one-time transfer from the state budget in 2017 to cover the losses of hospitals from previous years.
18.1. Source data
Several data sources are used:
Surveys/census: 0
Public administrative records: 2
Financial reports: 7
Other: 3
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
Health Insurance Institute of Slovenia (HIIS)
Annual expenditure of health care providers for different health services; the share of co-financing is different from year to year; the difference to 100% is covered by different privat health insurance companies
As specified in the questionnaire under appropriate HF (HF.1.2.) and with amounts filled cells
2003-2016
15 months for 2014 data (for 2015 data and on only 6 months after accounting period; agreement signed with data provider)
Annual
No
National Institute for Publlic Health
Annual data on number of preventive examinations (ZUBSTAT database)
As specified in the questionnaire under appropriate HF (HF.2.3.) and with amounts filled cells
2003-2016
6 months
Annual
Used to estimate expenditure for preventive care; data on number of preventive examination are multiplied by expert evaluated price of one examination.
Financial reports
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
Data from private health insurance (PHI) companies
Annual amounts which present the difference to 100% coverage of health service (e. g. hiis covers 80%, the rest is on PHI)
As specified in the questionnaire under appropriate HF (HF.2.1.) and with amounts filled cells
2003-2016
6 months
Annual
We dispose only with annual aggregated data; estimation of private health insurance payments by HC and HP classification is based on proportion of each HC, covered by HIIS and the share of its payment for certain service; the difference presents the expense of PHI, which is than adjusted to aggregated value of all PHI companies for certain health activity; the share of HIIS payment for certain health service is different from year to year.
Ministry of Health
Annual expenditure of Ministry for different health services within the competence of the Ministry (mainly prevention category)
As specified in the questionnaire under appropriate HF (HF.1.1.) and with amounts filled cells
2003-2016
6 months
Annual
No
Ministry of Defense
Annual expenditure of Ministry for different health services within the competence of the Ministry
As specified in the questionnaire under appropriate HF (HF.1.1.) and with amounts filled cells
2003-2016
6 months
Annual
No
Association of Social Institutions of Slovenia
Annual expenditure for different services and benefits (mainly for LTC category)
As specified in the questionnaire under appropriate HF (HF.1.1.) and with amounts filled cells
2003-2016
6 months
Annual
No
Social Protection Institute of the Republic of Slovenia
Annual expenditure for different services and benefits (mainly for LTC category)
As specified in the questionnaire under appropriate HF (HF.1.2.) and with amounts filled cells
2003-2016
6 months
Annual
No
Pension and Disability Insurance Institute of Slovenia
Annual expenditure for different services and benefits (mainly for LTC category)
As specified in the questionnaire under appropriate HF (HF.1.2.) and with amounts filled cells
2003-2016
6 months
Annual
No
Budget Report of Municipalities
Annual expenditure of municipalities for different health services
As specified in the questionnaire under appropriate HF (HF.1.1.) and with amounts filled cells
2003-2016
6 months
Annual
No
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
Data from ESSPROS statistics
Annual expenditure for different services and benefits (mainly for LTC category)
As specified in the questionnaire under appropriate HF (HF.1.1.) and with amounts filled cells
2003-2016
6 months
Annual
No
Data from National Accounts
Main aggregates for estimation of OOP category
As specified in the questionnaire under appropriate HF (HF.3.) and with amounts filled cells
2003-2016
6 months
Annual
Used to estimate OOP category.
Foundation for the Financing of Organisations for the Disabled and Humanitarian Organisations in the Republic of Slovenia
Annual expenditure for different services and benefits (mainly for LTC category)
As specified in the questionnaire under appropriate HF (HF.2.2.) and with amounts filled cells
2012-2016
6 months
Annual
No
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 and local governments are submitted annualy to NSI (mainly for the purpose of National Accounts compilation).Data for social health insurance is transmitted in an Excel form (very detailed) and is further processed and coded (also SHA-coded) by NSI Slovenia. Results from National Accounts are obtained from NSI colleagues, while the same person is in charge for both SHA and ESSPROS statistics. Some reports concerning Pension and Disability Insurance Institute of Slovenia and Social Protection Institute of the Republic of Slovenia are published on their website and taken from there.
Additional data/reports/information from some ministries, especially Ministry of Labour, Family, Social Affairs and Equal Opportunities and some other institutions are submitted after 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)
18.5. Data compilation
SHA data 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.1.1.x (HF.1.2 and HF.2.1) deducting from HC.1.1 to HC 1.2
Pro-rating/utilisation key
From total expenditure of HC.1.1 (HP.1.1) according to additional information on share provided by HIIS (health Insurance Institute of Slovenia - daily cases are deducted and added to HC.1.2.
HP.1.2. x (HF.1.2 and HF.2.1) deducting from HC.1.1 to HC 1.2
Pro-rating/utilisation key
From total expenditure of HC.1.1 (HP.1.2) according to additional information on share provided by HIIS (health Insurance Institute of Slovenia - daily cases are deducted and added to HC.1.2.
HP.1.3. x (HF.1.2 and HF.2.1) deducting from HC.1.1 to HC 1.2
Pro-rating/utilisation key
From total expenditure of HC.1.1 (HP.1.3) according to additional information on share provided by University Rehabilitation Institute Republic of Slovenia - daily cases are deducted and added to HC.1.2.
Splitting community nursing care at home between HC.3.4 and HC. 1.4.
Pro-rating/utilisation key
Splitting community nursing care at home between HC.3.4 and HC. 1.4 according to share given by an expert.
HF.3. Out-of-pocket (OOP) expenditure
Other
OOP Expenditure: We get annual aggregated data from National Accounts Department (NAD). The breakdown is made out of this data in connection with data of Household Budget Survey, annual report of main health service providers and retail trade statistics.
HF.2.1. Private health insurance (PHI) companies
Other
We dispose only with annual aggregated data; estimation of private health insurance payments by HC and HP classification is based on proportion of each HC, covered by HIIS and the share of its payment for certain service; the difference presents the expense of PHI, which is than adjusted to aggregated value of all PHI companies for certain health activity; the share of HIIS payment for certain health service is different from year to year.
HF.2.3. Occupational health care
Other
To estimate this category we use data on a number of preventive examinations multiplied by expert evaluated price of one examination.
18.6. Adjustment
Not applicable.
No additional 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).
31 May 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 by the resident population on the national territory of a country.
Health care expenditure data are annual data, corresponding to the calendar year.
This quality report covers reference years from 2018 to 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.
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 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.1.1.x (HF.1.2 and HF.2.1) deducting from HC.1.1 to HC 1.2
Pro-rating/utilisation key
From total expenditure of HC.1.1 (HP.1.1) according to additional information on share provided by HIIS (health Insurance Institute of Slovenia - daily cases are deducted and added to HC.1.2.
HP.1.2. x (HF.1.2 and HF.2.1) deducting from HC.1.1 to HC 1.2
Pro-rating/utilisation key
From total expenditure of HC.1.1 (HP.1.2) according to additional information on share provided by HIIS (health Insurance Institute of Slovenia - daily cases are deducted and added to HC.1.2.
HP.1.3. x (HF.1.2 and HF.2.1) deducting from HC.1.1 to HC 1.2
Pro-rating/utilisation key
From total expenditure of HC.1.1 (HP.1.3) according to additional information on share provided by University Rehabilitation Institute Republic of Slovenia - daily cases are deducted and added to HC.1.2.
Splitting community nursing care at home between HC.3.4 and HC. 1.4.
Pro-rating/utilisation key
Splitting community nursing care at home between HC.3.4 and HC. 1.4 according to share given by an expert.
HF.3. Out-of-pocket (OOP) expenditure
Other
OOP Expenditure: We get annual aggregated data from National Accounts Department (NAD). The breakdown is made out of this data in connection with data of Household Budget Survey, annual report of main health service providers and retail trade statistics.
HF.2.1. Private health insurance (PHI) companies
Other
We dispose only with annual aggregated data; estimation of private health insurance payments by HC and HP classification is based on proportion of each HC, covered by HIIS and the share of its payment for certain service; the difference presents the expense of PHI, which is than adjusted to aggregated value of all PHI companies for certain health activity; the share of HIIS payment for certain health service is different from year to year.
HF.2.3. Occupational health care
Other
To estimate this category we use data on a number of preventive examinations multiplied by expert evaluated price of one examination.
Several data sources are used:
Surveys/census: 0
Public administrative records: 2
Financial reports: 7
Other: 3
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
Health Insurance Institute of Slovenia (HIIS)
Annual expenditure of health care providers for different health services; the share of co-financing is different from year to year; the difference to 100% is covered by different privat health insurance companies
As specified in the questionnaire under appropriate HF (HF.1.2.) and with amounts filled cells
2003-2016
15 months for 2014 data (for 2015 data and on only 6 months after accounting period; agreement signed with data provider)
Annual
No
National Institute for Publlic Health
Annual data on number of preventive examinations (ZUBSTAT database)
As specified in the questionnaire under appropriate HF (HF.2.3.) and with amounts filled cells
2003-2016
6 months
Annual
Used to estimate expenditure for preventive care; data on number of preventive examination are multiplied by expert evaluated price of one examination.
Financial reports
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
Data from private health insurance (PHI) companies
Annual amounts which present the difference to 100% coverage of health service (e. g. hiis covers 80%, the rest is on PHI)
As specified in the questionnaire under appropriate HF (HF.2.1.) and with amounts filled cells
2003-2016
6 months
Annual
We dispose only with annual aggregated data; estimation of private health insurance payments by HC and HP classification is based on proportion of each HC, covered by HIIS and the share of its payment for certain service; the difference presents the expense of PHI, which is than adjusted to aggregated value of all PHI companies for certain health activity; the share of HIIS payment for certain health service is different from year to year.
Ministry of Health
Annual expenditure of Ministry for different health services within the competence of the Ministry (mainly prevention category)
As specified in the questionnaire under appropriate HF (HF.1.1.) and with amounts filled cells
2003-2016
6 months
Annual
No
Ministry of Defense
Annual expenditure of Ministry for different health services within the competence of the Ministry
As specified in the questionnaire under appropriate HF (HF.1.1.) and with amounts filled cells
2003-2016
6 months
Annual
No
Association of Social Institutions of Slovenia
Annual expenditure for different services and benefits (mainly for LTC category)
As specified in the questionnaire under appropriate HF (HF.1.1.) and with amounts filled cells
2003-2016
6 months
Annual
No
Social Protection Institute of the Republic of Slovenia
Annual expenditure for different services and benefits (mainly for LTC category)
As specified in the questionnaire under appropriate HF (HF.1.2.) and with amounts filled cells
2003-2016
6 months
Annual
No
Pension and Disability Insurance Institute of Slovenia
Annual expenditure for different services and benefits (mainly for LTC category)
As specified in the questionnaire under appropriate HF (HF.1.2.) and with amounts filled cells
2003-2016
6 months
Annual
No
Budget Report of Municipalities
Annual expenditure of municipalities for different health services
As specified in the questionnaire under appropriate HF (HF.1.1.) and with amounts filled cells
2003-2016
6 months
Annual
No
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
Data from ESSPROS statistics
Annual expenditure for different services and benefits (mainly for LTC category)
As specified in the questionnaire under appropriate HF (HF.1.1.) and with amounts filled cells
2003-2016
6 months
Annual
No
Data from National Accounts
Main aggregates for estimation of OOP category
As specified in the questionnaire under appropriate HF (HF.3.) and with amounts filled cells
2003-2016
6 months
Annual
Used to estimate OOP category.
Foundation for the Financing of Organisations for the Disabled and Humanitarian Organisations in the Republic of Slovenia
Annual expenditure for different services and benefits (mainly for LTC category)
As specified in the questionnaire under appropriate HF (HF.2.2.) and with amounts filled cells
2012-2016
6 months
Annual
No
Annually.
Data on health expenditure and sources of funding in Slovenia are published annually in the form of First Release in May for T-2 (Preliminary data for T-2 and Preliminary data for T-1). More detailed data for T-2 in published in October in the Si-Stat data portal.
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.
Not applicable.
Data according to SHA 2011 is available from reference year 2014 to 2022 and is comparable over this time. Data according to previous SHA 1.0. (2000) methodology is available from 2003 – 2013. Break in time series was made with introduction of SHA 2011 methodology.
Year
Items affected by the break
Explanations
2012
HC.3 and HCR.1 financed by all HF
With the introduction of SHA 2011 category of LTC has been detailed explored, i.e. split between health and social component of LTC. Consequently, health component of LTC increased (on behalf of reclassification of certain services and benefits from social to health component) which led to higher total CHE.
