Health care expenditure (SHA 2011) (hlth_sha11)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Central Statistics Office


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)
 



For any question on data and metadata, please contact: Eurostat user support

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1. Contact Top
1.1. Contact organisation

Central Statistics Office

1.2. Contact organisation unit

Government Accounts - Compilation & Output

1.5. Contact mail address

CSO Dublin, Ardee Road, Rathmines, Dublin 6, D06 FX52, Ireland


2. Metadata update Top
2.1. Metadata last certified 23 May 2024
2.2. Metadata last posted 23 May 2024
2.3. Metadata last update 23 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).
The time coverage of this Quality report is 2014 to 2024 reference years.

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:
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.

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.
3.5. Statistical unit

Commission Regulation 2021/1901 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 2021/1901 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 (Ireland).

3.8. Coverage - Time

Data on SHA is available for the years 2011 to 2022.

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:2011-2023.


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).

 

The is collected and compiled according to teh Statistics Act 1993 Statistics Act, 1993 - CSO - Central Statistics Office

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.

In Ireland the data used within the SHA is treated as strictly confidential in accordance with Section 33 of the Statistics Act. Statistics Act, 1993 - CSO - Central Statistics Office

7.2. Confidentiality - data treatment

Disclosure of information on HP.5 * HF.2 is suppressed to ensure confidentiallity.


8. Release policy Top
8.1. Release calendar

The SHA data is published annual in June of a given year. The data for reference year 2022 will be published on 19th June 2024. Release Calendar (cso.ie).

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

In June of each year the SHA data is published in the form of an electronic release. To announce the release there would be press release and social media updates.

10.2. Dissemination format - Publications

The SHA data is published annually on the CSO website in the form of an electronic release.

CSO health accounts.

The SHA data is included in ad-hoc publications such as the Statistical Yearbook of Ireland.

Measuring Ireland's Progress - CSO - Central Statistics Office.

 



Annexes:
Measuring Irelands Progress
System of Health Accounts in Ireland Publication
10.3. Dissemination format - online database

THe SHA data is available in the CSO database PxStat. The tables published in the annual Electronic Release are available in Statbank. This includes tables on the main aggregates as well as the three cross tabulations. There is also a table reconciling the data.

 



Annexes:
SHA data on CSO database (PxStat)
10.4. Dissemination format - microdata access

Not applicable.

10.5. Dissemination format - other

Used in the Measuring Irelands Progress Publication.

CSO Releasesand publications.

Statistical Yearbook of Ireland.

CSO Statistical yearbook of Ireland.

10.6. Documentation on methodology

The metadata for SHA tables has recently been published on the CSO website.

CSO System of health accounts.

There are some background notes accompanying the annual electronic release. 

Background information on the  following is provided on the CSO website.

Private health insurers survey:

CSO Expenditure and estimates of private health insurers.

Private Hospital Survey:

CSO Income of private hospitals.

10.7. Quality management - documentation

All information on quality standards within the CSO is available here:

CSO quality.

 

A quality report for System of Health Accounts in Ireland is published on the website.

Statistical Standards and Quality - CSO - Central Statistics Office.



Annexes:
Quality Report for System of Health Accounts in Ireland
CSO Standards & Quality


11. Quality management Top
11.1. 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.

11.2. Quality management - assessment

The quality of SHA figures for Ireland can be considered to be quite high. Areas where data is not fully in line with SHA guidelines or are partially missing are outlined under 12.3.


12. Relevance Top
12.1. Relevance - User Needs

Data Users:

  • Department of Health;
  • Department of Public Expenditure and Reform;
  • Researchers looking at health expenditure and forecasting future health spending.

Data users also use the Eurostat database for international comparisons.

Data is used in the compilation of ESSPROS.

Unmet user needs relate to timeliness of publication of data - users request more recent data. Users also request more detalied breakdowns of the data than what is published.

12.2. Relevance - User Satisfaction

There are trilateral meetings held between the Central Statistics Office, Department of Health and Health Service Executive (main government healthcare provider) where the data compilation and the tables can be discussed. Any ad-hoc queries from other users or requests for information on the SHA are answered in as much detail as can be provided.

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 Partially missing (data is partially not available) There may be a very small amount of government funding of health care not captured.  We have not contacted all government departments and are missing a few small public health care providers (e.g. Road Safety Authority).
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 Category does not exist  
HF.1.3 Compulsory Medical Savings Accounts (CMSA) Category does not exist  
HF.2 Voluntary health care payment schemes  
HF.2.1 Voluntary health insurance schemes Partially missing (data is partially not available) Health care funded by holiday insurance has not been included.
HF.2.2 NPISH financing schemes Missing (category reported elsewhere) There are many non-profit providers of health care in Ireland, particular in the area of providing care for those with a disability.  The HSE is a major funder of this sector and this expenditure is captured in the HSE data.  The Accounts of some of the larger NPI providers have been analysed and their non-HSE funded element of their expenditure has been included.  However there are many providers where their non-HSE element of expenditure is not included.  The development to of an NPI data base in Ireland will assist in the coverage of this area in future years.For the moment this category is covered in HF.2.3
HF.2.3 Enterprise financing schemes Deviation from SHA definition HF.2.3 includes estimates of HF.2.2 as the latter is still in development and has been combined with HF.2.3.
HF.3  Household out-of-pocket payment Partially missing (data is partially not available) Imported health care service funded by OOP are not captured. Out of pocket expenditure on face masks and antigen tests for COVID-19  is not captured.
HF.3.1 Out-of-pocket excluding cost-sharing Missing (category reported elsewhere) Included under HF.3
HF.3.2 Cost-sharing with third-party payers  Missing (category reported elsewhere) Included under HF.3
HF.4 Rest of the world financing schemes (non-resident) Missing (data not available)  
       
       
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 Missing (category reported elsewhere) This item is included in HC.1.3
HC.1.3.2 Dental outpatient curative care Missing (category reported elsewhere) This item is included in HC.1.3
HC.1.3.3 Specialised outpatient curative care Missing (category reported elsewhere) This item is included in HC.1.3
HC.1.3.9 All other outpatient curative care Missing (category reported elsewhere) This item is included in HC.1.3
HC.1.4 Home-based curative care Missing (category reported elsewhere) Home visits by GPs are not identified separately from HC.1.3+HC.1.4
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)  Missing (data not available)  
HC.3.4 Home-based long-term care (health) Deviation from SHA definition Some providers in this category provide a wide range of services but have been coded to this category due to the predominance of their activity.  For example, they provide out-patient services and residential care.  Some residential care provided by these categories is recorded as outpatient care.
HC.4 Ancillary services (non-specified by function)  
HC.4.1 Laboratory services Missing (category reported elsewhere) Data reported at HC.4 level
HC.4.2 Imaging services Missing (category reported elsewhere) Data reported at HC.4 level
HC.4.3 Patient transportation Missing (category reported elsewhere) Data reported at HC.4 level
HC.5 Medical goods (non-specified by function) For data confidentiality reasons some health insurance funded expenditure recorded under HC.5 was recoded to HC.0.
HC.5.1 Pharmaceuticals and other medical non durable goods  
HC.5.1.1 Prescribed medicines Missing (category reported elsewhere) This item is included in HC.5.1
HC.5.1.2 Over-the-counter medicines Missing (category reported elsewhere) This item is included in HC.5.1
HC.5.1.3 Other medical non-durable goods Missing (category reported elsewhere) This item is included in HC.5.1
HC.5.2 Therapeutic appliances and other medical durable goods Partially missing (data is partially not available) Final expenditure on face masks, antigen tests by HF.3 is not included.
HC.6 Preventive care  
HC.6.1 Information, education and counseling programmes Missing (category reported elsewhere) Such services provided by GPs are recorded under HC.1.3+HC.2.3
HC.6.2 Immunisation programmes Missing (category reported elsewhere) Reported as HC.6
HC.6.3 Early disease detection programmes Missing (data not available) Reported as HC.6
HC.6.4 Healthy condition monitoring programmes Missing (data not available) Reported as HC.6
HC.6.5 Epidemiological surveillance and risk and disease control Missing (data not available) Reported as HC.6
HC.6.6 Preparing for disaster and emergency response programmes Missing (data not available) Reported as HC.6
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 Given the nature of Irish long-term care providers it is difficult for us to distinguish between HP.2.1 and HP.2.2.  Thus we have only categorised these providers to the 1 digit level.
HP.2.1 Long-term nursing care facilities Missing (data not available) Data reported at HP.2 level.
HP.2.2 Mental health and substance abuse facilities Missing (data not available) Data reported at HP.2 level.
HP.2.9 Other residential long-term care facilities Missing (data not available) Data reported at HP.2 level.
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  
HP.5 Retailers and other providers of medical goods For data confidentiality reasons some health insurance funded expenditure recorded under HP.5 was recoded to HP.0.
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 Category does not exist  
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 Category does not exist  
HP.7.3 Private health insurance administration agencies  
HP.7.9 Other administration agencies Missing (category reported elsewhere) Captured in HP.7.1
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 Missing (data not available) Expenditure funded by private health insurance and the government is captured. That funded from OOP or holiday insurance is not captured.

 

 


13. Accuracy Top
13.1. Accuracy - overall

The SHA tables are the result of a number of different processes and estimation techniques.

The HSE provides most of the data on government spending and a large amount of work was undertaken to code all expenditure items accurately so it can be assumed that this data is very accurate. 

The larger private health insurers are surveyed annually for the data on private health insurance expenditure, this data is also assumed to be accurate.

The private hospitals are surveyed annually to determine the source of their income.

The out-of-pocket expenditure uses a number of techniques in order to arrive at an estimate. Very often the OOP expenditure is triangulated on a number of different sources such as revenue data, household budget survey and price quantity techniques. Using a number of different techniques does allow for validation of the estimates. There are some areas of out-of-pocket expenditure that need further improvement in the estimates. 

13.2. Sampling error

CSO use a survey for the private health insurers and private hospitals and it surveys all of the largest health insurance providers. and all private hospitals

13.3. Non-sampling error

Not applicable


14. Timeliness and punctuality Top
14.1. Timeliness

Member States are required to transmit their data to Eurostat in compliance with the Commission Regulation 2021/1901  transmission deadlines.
Data and reference metadata for the reference year T should be transmitted to Eurostat by 30 April T+2.

14.2. Punctuality

Ireland has transmitted the SHA data within the legal timeframe.


15. Coherence and comparability Top
15.1. Comparability - geographical

Not applicable at national level.

15.2. Comparability - over time

Breaks in time series resulting from methodological changes

Year

Items affected by the break

Explanations

pre-2011

All data

This is the first time that Ireland has produced detailed SHA tables. Data prior to 2011is based on a different methodology and different data sources.

15.3. Coherence - cross domain

Data is coherent with ESSPROS and is used for the ESSPROS accounts, the SHA data is taken annually to update the ESSPROS data.

15.4. Coherence - internal

Atypical entries:

Years(s)

Atypical entry

Explanations

2011 to 2022

HC.7.1, HF.2.3

The HF.2.3 category is a combination of HF.2.2 and HF.2.3 (see III. Core Classifications). In Ireland included in HC.7 are some patient safety and health and safety regulatory bodies which receive fees for their services. It also includes patient and disease representative groups which receive donations.

2011 to 2022

HC14HC24xHP6

Classified n HP.6 are patient groups and charities who provide infomration and guidance on prevenative care, these charities also provide some home nurisng services.


16. Cost and Burden Top

1.5 FTE working on System of Health Accounts.


17. Data revision Top
17.1. Data revision - policy

Data will normally be revised for the previous year only, unless there has been a change in statistical processing or coding.

17.2. Data revision - practice

Data revisions for previous years are included in the metadata document.

Revised capital expenditure data for  the year 2021 was transmitted. The revisions impact HK.1.1.2 and HK.1.1.3 and are due to updated data.

There are  no data revisions for previous years.

 


18. Statistical processing Top
18.1. Source data

Several data sources are used :

  • Surveys/census: 4.
  • Public administrative records: 4.
  • Financial reports: 2.
  • Other: 0.
I.1. Administrative and statistical data sources
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 Timeliness
(Number of months after the end of the accounting period)
Frequency
(e.g monthly, quarterly, annual, irregular)
Processing
(e.g. brief description of any adjustments, correction or distribution applied to the original data sources)
               
Health Service Executive Financial Data Financial data extracted from the HSE financial management system.  Covers 100% of HSE activity. Public administrative records HF.1.1, all HPs and all HCs 2011-2022 12 Annual Classified to HF, HC and HP.
Casemix Data Irish Casemix data used for analysing hospital activity and costs. Public administrative records HP.1, HC and HF. 2013-2015 11 Annual Used to allocate expenditure of hospitals (HP.1) to HC and HF.
Private Health Insurance expenditure data Survey of 3 largest private health insurance providers in Ireland.  Covers 95%+ of private health insurance funded health care expenditure Surveys/censuses HF.2.1, All HPs and All HCs 2011-2022 10 Annual Classified to HF, HC and HP.
Survey of Private Hospitals Survey of private hospitals in Ireland conducted by CSO to ascertain funding of services in private hospitals Surveys/censuses HP.1, HF.3 predominantly 2013, 2019-2020, 2021,2022 12 Annual Private hospitals are predominantly funded by private health insurance.  This data is being obtained from the private health insurance providers.  However, a profile of the non-HF.2.1 funding was needed (a) to ascertain how much and (b) to ascertain which services it was funding. This is an annual survey.
Tax files from Revenue Commissioners Data files provided by Revenue Commissioners to Central Statistics Office for statistical analysis purposes.  File coded to NACE rev2.  Turnover of health care providers extracted.  Used for triangulation against data sources for some HF.3 estimates Public administrative records HF.3 for the following private providers: - HP.4.1, HP.4.2, HP.4.3, HP.3.3, HP.3.4, HP.3.5  Also used to estimate the average cost of beds for HP.2 providers.  Also used in conjunction with HBS data for HP.5 providers.  Also used in conjunction with HBS and P*Q methods for HP.3.1 2011-2022 6 Annual Classified to HP.  Other data sources to estimates HF.1 and HF.2.1; residual is estimated to be HF.3. Or average across a number of data sources used as HF.3 estimate
Household Budget Survey Random sample survey of households on their income and expenditure conducted every 5 years. Details on health expenditure included. Surveys/censuses HF.3 and HC for the following providers HP.5.1 and HP.5.2, HP.3.1.1 in conjunction with Revenue data sources, P*Q estimates, other survey data 2011-2019 12 every 5 years HF.3 for certain HP (HP.5 and HP.3.1.1) and HC categories (HC.5 and HC.1.3+HC.2.3)
Annual Financial Statements of certain NPI providers Audited annual financial accounts of some large voluntary health providers. Financial reports HF.1.1 (non-HSE), HF.2.2, HF.2.3, HF.3  The AFS's of a number of large NPI health care providers have been analysed to identify the Non-HSE funded expenditure of these organisations  - HP.2, HP.3.4, HP.3.5, HP.6, HP.7. 2011-2022 6 to 9 Annual Classified to HF and HP (and HC where possible).  
Health Expenditure of Department of Health and other government departments Email/letter from CSO asking for health expenditure of Department of Health, Department of Defence (including armed forces,), Department of Education, Department of Justice (including police forces and probation services), Department of Social Protection. Public administrative records HF.1.1 (non-HSE), HF.1.2,HP.1, HP.3, HP.5, HP.7,  HP.8 and HC. 2011-2022 10 Annual Classified to HF, HP and HC.
Annual Reports of other public health care providers Audited annual financial accounts of other public providers of health care and administration -  Health Information and Quality Authority, Health Research Board, Health and Safety Authority Financial reports HF.1, HF.2.3 HP7, HC7 2011-2022 10 Annual Classified to HF, HP and HC.
Benefacts database Non-Profit Account Details Database Financial reports HF.2., HP.2, HC.3 2012-2021 12 Annual Classified to HF, HP and distributed across HC categories by government spending profile similar providers.
Revised Estimates Volume (for Public Services) Voted expenditure for public services Public administrative records HF.1, HP.5, HP.7, HP.8, all HC 2022 2 Annual Used to estimate t-1 expenditure. For some departments the exact expenditure is not split out so estimates are derived using t-2 profile.
Annual Service Inquiry Survey of businesses in certain NACE categories including pharmacies and supermarkets Surveys/censuses HP.8, HC.5, HF.3 2011-2016   Annual Used to estimate expenditure on OTC pharmaceutical products in supermarkets and other shops.
18.2. Frequency of data collection

Annual.

18.3. 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) 2021/1901   implementing Regulation (EC) No 1338/2008 of the European Parliament and of the Council as regards statistics on healthcare expenditure and financing.

For the compilation of the SHA in Ireland the main provider of data is the Health Service Executive (HSE). HSE submits their data which has been coded using the SHA 2011 classification at T+18 months. The main private health insurance companies complete a survey template which they receive in August every year, the survey template is coded to the SHA 2011 classification and returned to the CSO the following October.  The main administration data sources are revenue data which are analysed and are mainly used for the compilation of out-of-pocket expenditure. Other data sources which are collected are non-HSE government expenditure - some of the other departments are contacted by email for health expenditure data (such as Department of Health, Prison Services, Department of Defence, Department of Education, Department of Social Protection, Department  of  Justice and the Gardaí). Data from Annual reports is also extracted as it becomes available - this would mainly relate to private healthcare providers and non-profit organisations.

18.4. Data validation

The 2024 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)

Internal data validation: data returned through surveys and collection are validated internally.

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.

I.2. Estimation methods
SHA variable(s) Main method
(see comment box for definitions)
Brief description of methodology
HP.1 (private hospitals) X HF.1, HF.2.2, HF.2.3, HF.3 by HC Interpolation/Extrapolation The CSO surveyed private hospitals in Ireland and obtained a breakdown of their expenditure for by HF and HC for the years 2012 and 2013.  Based on this information it was observed that 90%+ of their expenditure is funded by private health insurance.  Rather than survey the hospitals each year in relation to their non-HF.2.1 it was decided to extrapolate the data.  
HP.2 (Addiction Centres) Pro-rating/Utilisation key Annual financial accounts and details of bed numbers were used to estimate the expenditure of addiction centres.  The AFSs of some addiction centres provide more detail on the HF and HC breakdown of their expenditure.  This was used to the total estimated expenditure of all addiction centres.  The total expenditure was based on bed numbers and the average cost of a bed per annum. 
HP.2 (private nursing homes) Pro-rating/Utilisation key Legislation requires that all nursing homes in Ireland be inspected annually.  A list of the nursing homes and their beds is published annually by HIQA. The turnover for many of these nursing homes was obtained from tax returns and accounts lodged with the Companies Registration Office. The average costs of a bed per annum was calculated to estimate the total expenditure of the sector.  HF.1 funding was obtained from the HSE. The remainder is assumed to be HF.3 as private health insurers do not insure for care in nursing homes.  It was assumed that all care was HC.3.  
HP.2 (hospices) Pro-rating/Utilisation key The annual financial statements of the HP.2 hospices were analysed.  The non-HSE funding was identified.  The allocation to HC is based on previous research into hospice care in Ireland which observed that of the services provided 74% were inpatient services, 6% were day care services and 20% were community based services. 
HP.2 (residential care for people with disabilities) Pro-rating/Utilisation key Legislation requires that all residential homes in Ireland be inspected annually.  A list of the residential homes and their beds is published annually by HIQA. The turnover for many of these residential homes was obtained from tax returns and accounts lodged with the Companies Registration Office. The average costs of a bed per annun was calculated to estimate the total expenditure of the sector.  HF.1 funding was obtained from the HSE.  The AFSs of some of the larger homes were analysed to obtain a profile of the non-HSE HF expenditure.  The HSE's HC profile was used to allocate expenditure to HC categories.  The HSE is a major funder of these providers and the grants that they provide to these providers are included in the HSE expenditure. 
HP.3.1.1 (private providers, HF.3 Other Data from a number of sources is triangulated to estimate the out-of-pocket expenditure on GP's services.  Household Budget survey data, Tax returns (total turnover less HSE funding) and P*Q  methods are compared.  The results were all very similar so an average of the three methods was used. 
HP.3.1.3, HF.3 Other Expert opinion indicated that private health insurance covers 25% of care provided by consultants in their offices.  Thus total amount was based on the HF.2.1 funding of HP.3.1.3 obtained from the private health insurance data set.  The HC allocation was based on that observed in the private health insurance dataset. 
HP.3.2 (private providers), HF.3 Other The HBS value and the turnover of dentists were identified in the tax files was compared.  The values were very similar so the HBS value (less private health insurance funded expenditure obtained from private health insurance data set).  Publicly funded dental care provided by private dentists is captured by data from the Department of Social Protection, this financing is paid directly to the provider.  Data is currently available to breakdown between HC1+HC2 and HC6 for HF.3 - this split is according to a breakdown by treatment type - details are available in the PCRS administartive data source . 
HP.3.3 (private providers), HF.3 Other The HBS value and the turnover of HP.3 providers were identified in the tax files was compared.  The HBS Value was about 66% of that observed in the Tax files.  It was decide to go with the Tax file value.  There is no public funding of private HP.3.3 providers.  Private Health insurance funding can be identified in the Private Health Insurance data set and subtracted from the turnover of these providers.  The remainder is assumed to be HF.3 and HC.1.3+HC.2.3. This accounts for X% of the total. 
HP.3.4 (NPIs), HF.2.2, HF.2.3, HF.3 Other The HSE funds many NPI HP.3.4 providers.  The accounts of some of the bigger providers were analysed and the non-HSE funding HF profile was obtained to allocate their non-HSE funded expenditure.  All services were allocated to HC.1.3+HC.2.3.  However, some of these providers offer mixed services including some residential services. 
HP.3.4 (private), HF.3 Balancing item/Residual method The turnover of private, non-HSE funded HP.3.4 providers was obtained from tax files.  The private health insurance funded element was subtracted and the remainder was assumed to be HF.3.  and HC.1.3+HC.2.3
HP.3.5 (private), HF.3 Balancing item/Residual method The turnover of private funded HP.3.5 providers was obtained from tax files.  The HSE funding and private health insurance funded element was subtracted and the remainder was assumed to be HF.3.  and HC.1.4+HC.2.4
HP.4 (private), HF.3 Balancing item/Residual method The turnover of private funded HP.4 providers was obtained from tax files.  The private health insurance funded element was subtracted and the remainder was assumed to be HF.3.  and HC.4
HP.5.1, HF.3, HC.5 Other Data from a number of sources is triangulated to estimate the out-of-pocket expenditure on pharmacy services.  Household Budget survey data, Tax returns (total turnover less HSE funding) and the results of a once off survey compared.  The results were all very similar. The information was combined to provide a breakdown of expenditure in pharmacies by HF and HC.  This accounts for X% of the total.
HP.5.2 Other Data from a number of sources is triangulated to estimate the out-of-pocket expenditure on pharmacy services.  Household Budget survey data and Tax returns were compared.  The results were very similar. The information was combined to provide a breakdown of expenditure in pharmacies by HF and HC.  This accounts for X% of the total.
HP.8 (occupational health), HF.2.3, HC.6.4 Interpolation/Extrapolation An estimate of occupational health is calculated using Census of Population data, National Accounts data relating to average wages by NACE, EHECS (Earning Hours and Employment Costs Survey) data. This expenditure was combined to estimate the Cost of Employment of Health Care workers not working in NACE 86, 87, public administration and education.
18.6. Adjustment

None.


19. Comment Top

The data collected in Ireland for the System of Health Accounts provides an accurate picture of health expenditure. A large project was undertaken to setup the System of Health accounts, this includes ensuring data on government expenditure through the HSE is accurately coded. Similarly the survey of private health insurance companies ensures accurate coding of their data to the SHA standard. Expenditure and estimate sofprivate healthinsurers.

The Out-of-Pocket expenditure relies on estimation techniques that draw on other surveys such as Household Budget Survey, Census data and administration data sources such as revenue data and medical card data and also annual report data. Using these methods ensure CSO can estimate out-of-pocket expenditure a number of different ways which allows for verification of methods.


Related metadata Top


Annexes Top