Health care expenditure (SHA 2011) (hlth_sha11)

National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS)

Compiling agency: Hungarian Central Statistical Office


Eurostat metadata
Reference metadata
1. Contact
2. Statistical presentation
3. Statistical processing
4. Quality management
5. Relevance
6. Accuracy and reliability
7. Timeliness and punctuality
8. Coherence and comparability
9. Accessibility and clarity
10. Cost and Burden
11. Confidentiality
12. Comment
Related Metadata
Annexes (including footnotes)
 



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1. Contact Top
1.1. Contact organisation

Hungarian Central Statistical Office

1.2. Contact organisation unit

Quality of Life Statistics Department

Health Statistics Section

1.5. Contact mail address

H-1024 Budapest, Keleti Károly u 5-7


2. Statistical presentation Top
2.1. 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 2014 to 2016 reference years.

2.2. Classification system

Healthcare expenditure is recorded in relation to the international classification for health accounts (ICHA) defining:

  • 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.
2.3. Coverage - sector

1. Household individual consumption on health, including the collective consumption with two exceptions:
i. Occupational health care (intermediate consumption within establishments) minus an estimated share of occupational health in health providers’ and other medical industries net administration;
ii.“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.

2.4. 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.
2.5. Statistical unit

Commission Regulation 2015/359 concerns 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 2015/359 limits its scope to the collection of data on the expenditure of health care financing schemes.

2.6. 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).

2.7. 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.

2.8. Coverage - Time

2006-2017 (according to SHA 2011 methodology)

2.9. Base period

Not applicable.


3. Statistical processing Top
3.1. Source data

Several data sources are used (as of data notification in March 2018):

-          Surveys/census: 4

-          Public administrative records: 1

-          Financial reports: 1

-          Other: 2

 

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

Survey No 2120

Data of National Health Insurance Administration and Ministries;  National Institute for Quality and Organizational Development in Healthcare and Medicines HF.1.2, HP.1-7 2006-2015 10 month Annual The survey is designed for HF.1.2 according to the HC and HP classifications of SHA 2011 

Survey No 2016

Survey on Revenues and Expenditure of Non-public Health Providers all HC, HF.3, all HP 2010-2015 14 month Annual Contains the all HC and HP classes in accordance with SHA 2011. None of these values are attributed directly, only as indirect data for OOP spending. (See above).

Survey No 1943

Questionnaire on expenditures of foreigners visiting Hungary all HC, HF.3, all HP 2010-2015 9 month Annual Contains 2 SHA-relevant items, none of them are attributed directly, only as indirect data for OOP spending. (see above)

Survey No 1156

Non-profit statistics (Register of non profit organisations VFA) all HC, HF.2.2, all HP 2003-2015 14 month Annual Contains 20 SHA-relevant spending items, all can be attributed to a single HC and HP.

 

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 budget reports from the Hungarian State Treasury

The source contain general/local government data by governmental COFOG classification on aggregate level and on health care institutes  All HC, HF.1.1, HF.2.3, all HP 2003-2015 9 month Annual Direct mapping between Governmental COFOG classes (called "governmental functions") and HC. No distribution keys applied.

 

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

Web-page of the Hungarian Financial Supervisory Authority

Data on voluntary health funds

all HC, HF.2.1, all HP

2009-2015

 9 month

Annual

Contains 22 spending items of which 15 are SHA-relevant. 14 can be attributed to a single HC and single HP; 1 item is distributed to more than one HC and/or HP using distribution keys. 1 item is partially SHA-relevant, is distrubuted to one HC and HP cell (HC.7.2xHP.7.3) using distribution key. 

 

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

Household health consumption

Household health consumption of the National Accounts Dept.

all HC, HF.3, all HP

2003-2015

14 month (preliminary), 21 month (final)

Annual

Contains health service COICOP classification (7 items). 3 items can be attributed to a single HC and HP classification but only after the deduction of the estimated spending of non-residents in the country, and deduction of the pharmaceuticals of the voluntary health funds that are also included here.  The other 4 items are distributed to more than one HC and and HP using two distribution keys: one key for the estimated under-the-counter payments, the second based on data from survey No 2016. 

Occupational health care reports

Data on occupational health care reports

HC.6, HF.2.3, HP.8

2003-2015

10 month

Annual

Contain one SHA-relevant spending item, attributed to a single HC and HP.
3.2. Frequency of data collection

Annual.

3.3. Data collection

Data are collected through the joint health accounts questionnaire (JHAQ) that countries submit 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). Countries submit data to Eurostat on the basis of 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.

3.4. Data validation

The 2018 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)
3.5. 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

HC.3.1

Pro-rating/Utilisation key The number of health workers in nursing and residential health care facilities multiplied with the average salaries of heath personnel categories and with the social insurance contributions

HF.3

Other

Detailed distribution on HC categories based on survey 2016
Deducted: Medical goods consumption of the voluntary health funds
Deducted: Health consumption of the foreign tourists, based on Questionnaire on expenditures of foreigners visiting Hungary

HF.2.1.

Pro-rating/Utilisation key One item from the financial report of the voluntary health fund is distributed according to the distribution ratio of the HC expenditure of the National Health Insurance Fund.

HF2.1xHC.7.2

Pro-rating/Utilisation key Administrative costs distributed according to the ratio of the health-related spending from total spending.  
3.6. Adjustment

Not applicable.


4. Quality management Top
4.1. Quality assurance

Authorities responsible for SHA data collection are working 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. The results and methods are discussed with the main SHA data users and experts on annual basis. Where necessary, corrections are applied.

4.2. Quality management - assessment

The quality of Hungarian SHA figures can be considered to be quite high. Differences between SHA and SNA data are derived from corrections due to differences in definitions and scope.  


5. Relevance Top
5.1. Relevance - User Needs
  • Ministry of Human Capacities, ministry's background institutions (National Healthcare Services Center - ÁEEK), data being used for reports, background information for health policy grounding.
  • Researchers, analysts, general public, including media like newspapers, magazines, independent journalists.
5.2. 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. Feedback from main users is incorporated in the compilation of SHA figures if feasible and possible.

5.3. Completeness

All mandatory variables of the three dimensions according to Commission Regulation 359/2015 are reported.

5.3.1. Data completeness - rate

100%


6. Accuracy and reliability Top
6.1. Accuracy - overall

Overall accuracy of Hungarian SHA data can be considered to be quite good. The inpatient long term health (HC3.1) is underestimated since in the Hungarian statistical system there is not a reliable data source to have an exact distinction between social and health, ADL and IADL activity, respectively. The household OOP expenditure data is based on estimations provided by National Accounts (NA), where the under-the-counter is included, and is based on NA estimations as well.

6.2. Sampling error

Not applicable.

6.2.1. Sampling error - indicators

Not applicable.

6.3. Non-sampling error

Section not relevant. For coverage error see details at 6.3.1.

6.3.1. Coverage error

We are not aware of any double-counting of expenditure items in our SHA figures at the moment. There are items that are reported in more than one data sources, but these items are removed during the data providing process. These are as follows:

  • items accounted in both governmental (HF.1) and Non-profit schemes (HF.2), values are deducted from the latter;
  • medical goods (HF.5) reported in both voluntary health insurance schemes (HF.2.1) and Households OOP (HF.3), values are deducted from the latter.

An estimated value of the health care goods and services by non-residents are excluded from domestic provider revenues. The informal payment are reported in the data collection (see also 6.1).

6.3.1.1. Over-coverage - rate

Not applicable.

6.3.1.2. Common units - proportion

Not applicable.

6.3.2. Measurement error

Not applicable.

6.3.3. Non response error

Not applicable.

6.3.3.1. Unit non-response - rate

Not applicable, the statistics are the result of an integration process.

6.3.3.2. Item non-response - rate

Not applicable.

6.3.4. Processing error

Not applicable.

6.3.4.1. Imputation - rate

Not applicable.

6.3.5. Model assumption error

Not applicable.

6.4. Seasonal adjustment

Not applicable.

6.5. Data revision - policy

For year T-1 (previous year of the reported year) data of the HF.3 financing scheme is revised, since for the reported year only preliminary data is available. For year 2015 further changes may occur due to finalisation of the input-output tables of the national accounts.

6.6. Data revision - practice

Household OOP data for year T-2 are revised every following year since the data in the day of submission are considered preliminary, and the final data for year T-2 are available only by the end of September. Revision of household health expenditure due to SUT – input-output tables compilation provided by the national accounts is provided every 5 year. 

 

Year 2014 and 2015: one item has been changed: HF12xHC511 (data correction)

 

In 2016 a major revision was undertaken to implement SHA 2011 for data years 2006-2014.

6.6.1. Data revision - average size

The magnitude of revision does not exceed 0,5% of the current health care.


7. Timeliness and punctuality Top

Member States are required to transmit data to Eurostat in compliance with the Commission Regulation 359/2015 transmission deadlines.

Data and reference metadata for the reference year T should be transmitted to Eurostat by 30 April T+2.

Since 2018, the Hungarian Statistical Office meet the deadline based on the gentlemen's agreement with IHAT sending data before the end of March T+2. 

7.1. Timeliness

Member States are required to transmit their data to Eurostat in compliance with the Commission Regulation 359/2015 transmission deadlines.
Data and reference metadata for the reference year T should be transmitted to Eurostat by 30 April T+2.

7.1.1. Time lag - first result

The very first preliminary data, total values, are published by the HCSO by the end of month May T+2 in the Pocket Yearbook of the Office.

Detailed preliminary data are published by end of August T+2.

7.1.2. Time lag - final result

Final results are published one year after the detailed preliminary data, end of August T+3.

7.2. Punctuality

There were no deviations from deadlines in the reference period.

7.2.1. Punctuality - delivery and publication

There is no delay of the publication.


8. Coherence and comparability Top
8.1. Comparability - geographical

Not applicable at national level.

8.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable.

8.2. Comparability - over time

Breaks in time series resulting from methodological changes

Year

Items affected by the break

Explanations

1998

All items

There are differences in data pre-1998 and data from 1998 to 2002 both in concepts and estimation methods. Pre-1998 data on public expenditures were based on payments by financing agents (data by NHIF, MoF, and MoH). Private expenditures contained only household expenditures. For data from 1998 to 2002 total health expenditure is defined as final use of health care goods and services by residents plus gross capital formation in health care provider industries

2003

All items

On 2003, the Hungarian Central Statistical office made a revision of the National Accounts back to 1995. It also resulted in a revision of the households' expenditure of health

2007

HP.2, HP.3.3

Reorganisation of the public health care providing institutions (continued in the following year)

2008

HP.2.

Reorganisation of the public health care providing institutions

2010

HC.5.1, HC.5.2

Since 2010 data for HC.5.1.3 is available. Before 2010 it was accounted under HC.5.2

2010

HC.7.1

New Governmental COFOG classification was introduced

2011

HP.1, HP.3

In 2011 there was a break in the expenditure for hospitals and providers for ambulatory health care as establishments were re-classified between the two sectors. This break, however, does not affect the aggregate current health expenditure

2012

HC.1.2, HC.1.4, HC.2.4, HP.1.2, HP.1.3, HP.2, HP.3.3, HP.6, HP.4.9

Due to revision of the financing system - provided in the mid of year 2012, having an influence both on time series covering year 2012 and 2013 

2012

HCR.1

Due to revision of the ESSPROS calculation

2013

HC.7.1, HP.1, HP.2, HP.3

Due to revision of the financing system - provided in the mid of year 2012, having an influence both on time series covering year 2012 and 2013 

2015

HF.2.2

New non-profit classification was introduced. This break does not affect the aggregate value. 

2016

HF3xHC11, HF3xHC12, HF3xHC21, HF3xHC131, HF3HC133, HF3xHc139, HF3xHC3, HF3xHC6

Due to revision of the survey No 2016. The breaks do not affect the aggregate value

8.2.1. Length of comparable time series

Years 2006-2016 for SHA 2011.

8.3. Coherence - cross domain

For governmental current expenditure (HF1.1) HA and National Accounts (NA) use the same data source - minor differences occur due to adjustments of inpatient long term care (HC3.1), and the same governmental COFOG classification is used as well. For the households OOP HA use as data source figures provided by the NA (from where non-resident spending is deducted) therefore there is a coherence data as well.

SHA and ESSPROS is based on the same data source, however, in the domain of LTC SHA core variables are only focussing on health-related LTC whereas ESSPROS takes into account also the social aspects of LTC. A full coherence between these two approaches is therefore not feasible.

8.4. Coherence - sub annual and annual statistics

Not applicable.

8.5. Coherence - National Accounts

As mentioned at 8.3 the approach for compiling SHA data are in line with the approach of NA, differences are derived from the concept of SHA Methodology. E.g. investments, R&D are not taken into account in the HA; the NA applies the domestic concepts, including the exports, whereas SHA uses the resident concept, excluding the exports. In order to avoid the double counting, and to have a clearer picture of the expenditure of financing schemes, in case of governmental scheme revenues from non-profit companies, other companies, households are deducted.  

8.6. Coherence - internal

Internal coherence of SHA tables is achieved.


9. Accessibility and clarity Top
9.1. Dissemination format - News release

By the very beginning of June of each year HCSO publishes a news release on the published Pocket Yearbook, it includes the main aggregates of SHA data.

9.2. Dissemination format - Publications

Pocket Yearbook including SHA figures: http://www.ksh.hu/apps/shop.kiadvany?p_kiadvany_id=1037266

HCSO homepage, including SHA data: http://www.ksh.hu/stadat

 

9.3. Dissemination format - online database

Data are published as open data and are accessible using the HCSO home page: http://www.ksh.hu/stadat

Detailed data are published in the Yearbook of Health Statistics. For the access to this publication, our Users have to register on our website www.ksh.hu/shelf. Then, by activating the volume identifier, they can upload the publication on their own user shelf created on our website and there it can be accessed at any time. : http://www.ksh.hu/apps/shop.kiadvany?p_kiadvany_id=1041437&p_temakor_kod=KSH&p_lang=HU

 

 

9.3.1. Data tables - consultations

Information not available.

9.4. Dissemination format - microdata access

Not applicable.

9.5. Dissemination format - other

Data analysis are published in the Statistical reflections of HCSO.

9.6. Documentation on methodology

Documentation on metadata is available on the HCSO homepage on the following link:

http://www.ksh.hu/apps/meta.objektum?p_lang=EN&p_menu_id=110&p_ot_id=100&p_obj_id=ADEA&p_session_id=52961360

9.7. Quality management - documentation

Not available.

9.7.1. Metadata completeness - rate

Not available.

9.7.2. Metadata - consultations

Not available.


10. Cost and Burden Top
Restricted from publication


11. Confidentiality Top
11.1. Confidentiality - policy

The Regulation (EC) No 223/2009 on European statistics (recitals 23-27, 31-32 and Articles 20-26) applies.

11.2. Confidentiality - data treatment

The publication of SHA data is done at relatively high aggregated data-level, detailed data is not published or distributed. It is secured that a sufficient number of units are aggregated together to be able to publish the relevant HF/HC/HP/FS combination. Data of public sector health care providers are data of public interest, and published elsewhere.


12. Comment Top

No further comments.


Related metadata Top


Annexes Top