Health care expenditure (SHA 2011) (hlth_sha11)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Croatian Institute of Public Health


Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Statistical presentation
4. Unit of measure
5. Reference Period
6. Institutional Mandate
7. Confidentiality
8. Release policy
9. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)
 



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1. Contact Top
1.1. Contact organisation

Croatian Institute of Public Health

1.2. Contact organisation unit

Division for Public Health

1.5. Contact mail address

Rockefellerova 7, 10000 Zagreb, Croatia


2. Metadata update Top
2.1. Metadata last certified 31 May 2024
2.2. Metadata last posted 31 May 2024
2.3. Metadata last update 31 May 2024


3. Statistical presentation Top
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).

3.2. 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.
3.3. Coverage - sector

1. Household individual consumption on health, including the collective consumption with two exceptions:

  1. Occupational health care (intermediate consumption within establishments) minus an estimated share of occupational health in health providers’ and other medical industries net administration;
  2. “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

Croatia

3.8. Coverage - Time

2013 - 2021

3.9. Base period

Not applicable.


4. Unit of measure Top

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).


5. Reference Period Top

Health care expenditure data are annual data, corresponding to the calendar year.

This quality report covers the following reference years: 2013 - 2021.


6. Institutional Mandate Top
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).


7. Confidentiality Top
7.1. Confidentiality - policy

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

7.2. Confidentiality - data treatment

Data are disclosed and published only aggregated in HC, HP and HF categories.


8. Release policy Top
8.1. Release calendar

National data for Croatia are also published as annual report available on the web page of Croatian Insitutute of Public Health upon completion of validation process and publication of data in Eurostat database.

8.2. Release calendar access

Please refer to the Release calendar - Eurostat (europa.eu) and publicly available on the Eurostat’s website.

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.


9. Frequency of dissemination Top

Annual


10. Accessibility and clarity Top
10.1. Dissemination format - News release

Not available.

10.2. Dissemination format - Publications

National annual reports starting with 2013 data are regularly published by Croatian Institute of Public Health and available online (only in Croatian):

10.3. Dissemination format - online database

Not available.

10.4. Dissemination format - microdata access

Not applicable.

10.5. Dissemination format - other

Not available.

10.6. Documentation on methodology

Detailed description of methodology is published alongsinde the data in national annual reports  (links available in 10.2).

10.7. Quality management - documentation

Not available.


11. Quality management Top
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.

11.2. Quality management - assessment

SHA data for Croatia are collected using mainly "bottom up" approach which enables collection of data from internal records of social insurance fund according to detailed HC and HP categories. The least reliable data are those for HF.3 (except for HC.5.1 and HC.5.2) because they are estimated from Household Budget Survey data. Data for HF.2.2 are also less reliable because they are collected directly from non-profit organisations and foundations and their response rate is low.


12. Relevance Top
12.1. Relevance - User Needs

The main users of health care expenditure data are policy makers, research institutes, media, and students.

12.2. Relevance - User Satisfaction

Not available.

12.3. Completeness
III.1. Current state of ICHA-HF implementation    
ICHA-HF Code Description Please indicate any deviations from SHA definitions or missing data and explain Explanations
HF.1 Government schemes and compulsory contributory health care financing schemes  
HF.1.1 Government schemes  
HF.1.2/1.3 Compulsory contributory health insurance schemes/CMSA  
HF.1.2.1 Social health insurance schemes  
HF.1.2.2 Compulsory private insurance schemes  
HF.1.3 Compulsory Medical Savings Accounts (CMSA)  
HF.2 Voluntary health care payment schemes Partially missing (data is partially not available)  
HF.2.1 Voluntary health insurance schemes Partially missing (data is partially not available) Expenditure data for 1 out of 7 private health insurers were not delivered for 2013-2016 . Expenditure data for 1 out of 9 private health insurers were not delivered for 2017. Expenditure data for 2 out of 9 private health insurers were not delivered for 2018. Expenditure data for 1 out of 9 private health insurers were not delivered for 2019-2022.
HF.2.2 NPISH financing schemes Partially missing (data is partially not available) Expenditure data for 2014-2016 were received from 14 out of 78 non-governmental organisations and foundations which were contacted. For 2017 expenditure data were received for 11 out of 330 non-governmental organisations and foundations which were contacted. For 2018 expenditure data were received for 11 out of 153 non-governmental organisations and foundations which were contacted. For 2019 expenditure data were received for 19 out of 153 non-governmental organisations and foundations which were contacted. For 2020 expenditure data were received for 14 out of 167 non-governmental organisations and foundations which were contacted.  For 2021 expenditure data were received for 15 non-governmental organisations and foundations out of 47 non-governmental organisations and foundations which were contacted. For 2022 expenditure data were received for 11 non-governmental organisations and foundations out of 45 non-governmental organisations and foundations which were contacted.
HF.2.3 Enterprise financing schemes Partially missing (data is partially not available) Here we have only data on financing of preventive medical examinations for employees which are not covered by Croatian Health Insurance Fund. 
HF.3  Household out-of-pocket payment  
HF.3.1 Out-of-pocket excluding cost-sharing Missing (data not available)  
HF.3.2 Cost-sharing with third-party payers  Missing (data not available)  
HF.4 Rest of the world financing schemes (non-resident)  
       
       
III.2. Current state of ICHA-HC implementation    
ICHA-HC Code Description Please indicate any deviations from SHA definitions or missing data and explain Explanations
HC.1 Curative care  
HC.1.1 Inpatient curative care  
HC.1.2 Day curative care  
HC.1.3 Outpatient curative care  
HC.1.3.1 General outpatient curative care  
HC.1.3.2 Dental outpatient curative care  
HC.1.3.3 Specialised outpatient curative care  
HC.1.3.9 All other outpatient curative care  
HC.1.4 Home-based curative care  
HC.2 Rehabilitative care  
HC.2.1 Inpatient rehabilitative care  
HC.2.2 Day rehabilitative care  
HC.2.3 Outpatient rehabilitative care  
HC.2.4 Home-based rehabilitative care  
HC.3 Long-term care (health)  
HC.3.1 Inpatient long-term care (health)  
HC.3.2 Day long-term care (health)  
HC.3.3 Outpatient long-term care (health)   
HC.3.4 Home-based long-term care (health)  
HC.4 Ancillary services (non-specified by function)  
HC.4.1 Laboratory services  
HC.4.2 Imaging services  
HC.4.3 Patient transportation  
HC.5 Medical goods (non-specified by function)  
HC.5.1 Pharmaceuticals and other medical non durable goods  
HC.5.1.1 Prescribed medicines  
HC.5.1.2 Over-the-counter medicines  
HC.5.1.3 Other medical non-durable goods  
HC.5.2 Therapeutic appliances and other medical durable goods  
HC.6 Preventive care  
HC.6.1 Information, education and counseling programmes  
HC.6.2 Immunisation programmes  
HC.6.3 Early disease detection programmes  
HC.6.4 Healthy condition monitoring programmes  
HC.6.5 Epidemiological surveillance and risk and disease control  
HC.6.6 Preparing for disaster and emergency response programmes  
HC.7 Governance and health system and financing administration  
HC.7.1 Governance and health system administration  
HC.7.2 Administration of health financing  
Reporting items:      
HC.RI.1 Total pharmaceutical expenditure (TPE) Missing (data not available)  
HC.RI.2 Traditional, Complementary and Alternative Medicines (TCAM) Missing (data not available)  
Health care related items:    
HCR.1 Long-term care (Social) Missing (data not available)  
HCR.2 Health promotion with multisectoral approach Missing (data not available)  
       
       
III.3. Current state of ICHA-HP implementation    
ICHA-HP Code Description Please indicate any deviations from SHA definitions or missing data and explain Explanations
HP.1 Hospitals  
HP.1.1 General hospitals  
HP.1.2 Mental health hospitals  
HP.1.3 Specialised hospitals (other than mental health hospitals)  
HP.2 Residential long-term care facilities  
HP.2.1 Long-term nursing care facilities  
HP.2.2 Mental health and substance abuse facilities  
HP.2.9 Other residential long-term care facilities  
HP.3 Providers of ambulatory health care  
HP.3.1 Medical practices  
HP.3.2 Dental practices  
HP.3.3 Other health care practitioners  
HP.3.4 Ambulatory health care centres  
HP.3.5 Providers of home health care services  
HP.4 Providers of ancillary services  
HP.4.1 Providers of patient transportation and emergency rescue  
HP.4.2 Medical and diagnostic laboratories  
HP.4.9 Other providers of ancillary services Category does not exist  
HP.5 Retailers and other providers of medical goods  
HP.5.1 Pharmacies  
HP.5.2 Retail sellers and other suppliers of durable medical goods and medical appliances  
HP.5.9 All other miscellaneous sellers and other suppliers of pharmaceuticals and medical goods  
HP.6 Providers of preventive care  
HP.7 Providers of health care system administration and financing  
HP.7.1 Government health administration agencies  
HP.7.2 Social health insurance agencies  
HP.7.3 Private health insurance administration agencies  
HP.7.9 Other administration agencies  
HP.8 Rest of the economy  
HP.8.1 Households as providers of home health care  
HP.8.2 All other industries as secondary providers of health care  
HP.9 Rest of the world  


13. Accuracy Top
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

Household Budget Survey is used as the source of the data for HF.3 (except for HC.5.1 and HC.5.2).

13.3. Non-sampling error

Not available.


14. Timeliness and punctuality Top
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

We respected the transmission deadline for reference years covered by this quality report.


15. Coherence and comparability Top
15.1. Comparability - geographical

Not applicable.

15.2. Comparability - over time
II.4. Breaks in time series    
Year Items affected by the break Explanations
2014 HP.2 and HP.3.5 in HF.3 Data on expenditures for long-term care in residential long-term care facilities and by providers of home health care services estimated from Household Budget Survey were included for the first time in HF.3
2014 HF.2.2 and HF.2.3

HF.2.2 and HF.2.3 included for the first time

15.3. Coherence - cross domain

Comparison and reconcilition with ESSPROS data is being done regularly (once a year).

In 2022 comparative analysis of SHA and COFOG data and applied methodology was performed and reasons for noticed differences were identified and explained. 

15.4. Coherence - internal

SHA data are regularly compared to data available in reports published by some of the reporting units.


16. Cost and Burden Top

There is no quantified cost of SHA in terms of FTE and production costs (both employees of Croatian Institute of Public Health working on SHA data also perform other activites and  no estimations concerning their work on SHA as FTE have been done).

Concerning responedent burden, range and detail of collected data are limited to what is absolutely necessary. All reporting units are provided with contact data which they can use when they need any kind of help or guidance when preparing the data for delivery.


17. Data revision Top
17.1. Data revision - policy

We do not compile nor publish any preliminary data.

When SHA data which have been published previously in a report, undergo revision, we publish the report with revised data and designation "revised" on the front page, including also the month and year of publication of the report with revised data.

17.2. Data revision - practice

SHA data undergo revision whenever new or corrected data on certain health care expenditure become available for a certain year. One of the main problems with SHA data is still the fact that health care providers owned by the state (mostly hospitals) accumulate losses which get covered only several years after they were generated and which can not be so precisely devided into HC categories as it is possible for expenditures which actually get paid (therefore estimations are needed).


18. Statistical processing Top
18.1. Source data

Source name

Brief description of source
(e.g. coverage, reference year, etc)

Type of data source

Primary SHA variable(s) using this data source

Time period covered by this data source

Statistics of Croatian Health Insurance Fund (CHIF)

Annual record on activity and spending financed by CHIF; coverage 100% of compulsory health insurance (CHIF is the only compulsory insurer in Croatia); covers also part of voluntary health insurance

Public administrative records

complete HF.1.2.1 + part of HF 2.1.2 (financing all HC provided by all HP)

2013-2022

Statistics of Ministry of Health

Annual record on activity and spending financed by Ministry of Health

Public administrative records

HF.1.1 (financing HC.6 provided by HP.6 and HP.7 and HK.1.1 in HP.1 and HP.3).

2013-2022

Statistics of Ministry of Health

Record on subsidies paid directly to hospitals in order to cover their losses

Public administrative records

HF.1.1.1. financing  HP.1 

2017-2022

Statistics of Ministry of Defense

Annual record on activity and spending financed by Ministry of Defense

Public administrative records

HF.1.1 (financing HC.1.3.1 provided in HP.1 and by HP.8.2 - ambulatory health care providers employed inside army, HC.4.1 in HP.4.2, HC.5.1.1 in HP.5.1, HC.5.1.3 in HP.5.9, HC.5.2.9 in HP.5.9 and HC.6.2 and HC.6.3 in HP.6)

2013-2022

Statistics of Ministry of Justice

Annual record on activity and spending financed by Ministry of Justice

Public administrative records

HF.1.1 (financing all HC (except HC.3) provided by all HP)

2013-2022

Statistics of counties and City of Zagreb (21 regional units)

Annual records on activity and spending financed by counties and City of Zagreb

Public administrative records

HF.1.1 (data for regional government expenditures)

2013-2022

Statistics of Ministry of Finance

Ministry of Finance Report with Aggregated Data on Achieving Budget 2011-2022

Financial reports

HF.1.1 (data for local government expenditures and part of additional data for regional government expenditures)

2013-2022

Statistics of private health insurance companies (6 companies in 2013-2016, 8 companies in 2017, 7 companies in 2018, 8 companies in 2019-2022)

Annual records on activity and spending financed by private health insurance companies

Public administrative records

HF.2.1.2 (financing all HC provided by all HP)

2013-2022

Croatian Bureau of Statistics

Household Budget Survey

Surveys/censuses

HF.3 (only data for HC.1.1, HC.1.3.1, HC.1.3.2, HC.1.3.9, HC.2.1, HC.3.1, HC.4.1, HC.4.2, HC.5.2)

2013-2022

Non-governmental organisations and foundations (8 for 2014, 9 for 2015, 8 for 2016, 11 for 2017, 11 for 2018, 19 for 2019, 14 for 2020, 15 for 2021, 11 for 2022)

Annual record on activity and spending

Public administrative records

HF.2.2

2014-2022

Statistics of Croatian Institute of Public Health and Pricelist of Croatian Chamber of Medical Doctors

Report on number of preventive medical examinations in occupational health and pricelist of health services in occupational health

Other

HF.2.3, HC.6.4

2014-2022

Statistics of Croatian Health Insurance Fund (CHIF)

Annual record on losses of hospitals owned by the state

Public administrative records

HF.1.2.1, all HC provided by HP.1.1

2014-2022

 Ministry of Croatian Veterans

Annual Financial Report

Financial reports

HF.1.1.1, HC.1.3.3 in HP.1.1, HC.2.1 in HP.1.3, HC.6.4 in HP.3.4 and HP1.1, HC.5.2.3 in HP.5.2

2013-2022

 Ministry for Demography, Family, Youth and Social Policy

Annual records on activity and spending financed by Ministry for Demography, Family, Youth and Social Policy

Public administrative records

HF.1.1.1, HC.3.1 in HP.2.2 and HP.2.9, HK.1.1.1 and HK.1.1.2 in HP.2.2. and HP.2.9

2013-2022

 Agency for Medicinal Products and Medical Devices of Croatia

Annual report on drug utilisation

Financial reports

HF.3, HC.5.1.1 and HC.5.1.2

2013-2022

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.

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

I.2. Estimation methods

SHA variable(s)

Main method
(see comment box for definitions)

Brief description of methodology

HF.1.1 (counties)/HC.7.1

Pro-rating/Utilisation key

Several counties estimated these costs according to percentage of personnel and their working hours on health topics (county offices for health are usually combined with social policy and/or education)

HF.1.1/HC.3.1/HP.2

Pro-rating/Utilisation key

Only three regional authorities were able to provide nursing care expenditures for in-patient long-term care in nursing homes (which are actually combination of nursing homes and residential homes because they, besides nursing care departments, also have pure residential parts) separately from total expenditures for such homes. Majority of regional authorities were only able to provide total expenditures for nursing homes (including both nursing care and residential departments), so we estimated nursing care expenditures from total expenditures for them by using average percentage of share of nursing care in total expenditures for these homes which we calculated for those counties which had it available (25%).

HF.3

Interpolation/Extrapolation

Estimations of household expenditures in 2015 and 2016 were prepared using Household Budget Survey data from 2014 and 2017 and they were linearly positioned between data for 2014 and data for 2017 (Household Budget Survey was not executed in 2015 nor in 2016, therefore there are no direct data for 2015 and 2016 available from this survey). The same was done to estimate the data for 2018 by using Household Budget Survey data from 2017 and 2019.  Estimation for 2020 was done so that all data for all HC and HP categories which were obtained from Household Budget Survey data 2019, were decreased for % of final consumption expenditure of households decrease presenting  in Croatia in 2020 (-4.95 %).  Estimation for 2021 was done so that all data for all HC and HP categories for 2020 were increased for % of final consumption expenditure of households increase presenting  in Croatia in 2021 (12,64 %). Estimation for 2022 was done so that all data for all HC and HP categories for 2020 were increased for % of final consumption expenditure of households increase presenting  in Croatia in 2022 (18,67 %).

HF.3

Pro-rating/Utilisation key

Due to lack of harmonisation between SHA and data on health care expenditures from Household Budget Survey, the following estimations were done on the data from Household Budget Survey:  data on laboratory and imaging services (aggregated data in Household Budget Survey) were devided into HC.4.1 and HC.4.2 in ratio 50%:50%; data on hospitalisations were devided into HC.1.1 and HC.3.1 and into HP.1.1 and HP.1.3 according to shares of these categories in HF.1.2; for 2014 data on long-term care from Household Budget Survey were included in SHA for the first time - as it contains aggregated long-term care data which include both health and social long-term care, the same ratio as described for HF.1.1/HC.3.1/HP.2 was used to estimate the share of health component (25%)

HF.2.3

Pro-rating/Utilisation key

Costs of enterprises financing schemes were calculated by multiplying number of preventive medical examination in occupational health paid by enterprises in specific year with cost of such examinations according to the pricelist of Croatian Chamber of Medical Doctors

HC.1.1 and HC.1.2/HF.3

Pro-rating/Utilisation key

Total expenditure for sum of HC.1.1 and HC.1.2 in HF.3 which contained both HC.1.1 and HC.1.2, was divided into HC.1.1 and HC.1.2 using ratio between HC.1.1 and HC.1.2 in the sum of HF.1 and HF.2 as a distribution key.

HC.2.1 and HC.2.2/HF.3

Pro-rating/Utilisation key

Total expenditure for sum of HC.2.1 and HC.2.2 in HF.3 which contained both HC.2.1 and HC.2.2, was divided into HC.2.1 and HC.2.2 using ratio between HC.2.1 and HC.2.2 in the sum of HF.1 and HF.2 as a distribution key.

HF.3 / HC.5.1.1

Balancing item/Residual method

Out-of-pocket expenditures for HC.5.1.1 were calculated by subtracting expenditure on OTC (HC.5.1.2) from total expenditure on medicines which was not paid for by obligatory health insurance . The obtained difference was increased for estimated taxes and after that expenditure on prescribed medicines paid by HF.2 was subtracted from the result in order to calculate out-of-pocket (HF.3) expenditures on HC.5.1.1. Expenditure for OTC pharmaceuticals was increased for 35% and expenditure for Rx pharmaceuticals was increased for 25% as a retail margin estimated from “Decision on mode of determination of retail prices of pharmacueticals and other goods which are not paid for by Croatian Health Insurance Fund” which specifies allowed retail margins which are different depending on the price categories. The highest percentage of retail margin was applied for OTC pharmaceuticals (35 %) because most of them are in the lowest price category which has the highest retail margin of 35 %. Retail margin for Rx pharmaceuticals was estimated at 25% because there is a significant share of these pharmaceuticals which are in more expensive categories.

18.6. Adjustment

Adjustements are not performed.


19. Comment Top

No additional comments.


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