Health care expenditure (SHA 2011) (hlth_sha11)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Statistics Portugal


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

Statistics Portugal

1.2. Contact organisation unit

National Accounts Department / Unit for Satellite Accounts and Quality Assessment of the National Accounts

1.5. Contact mail address

Av. António José de Almeida, 5
1000-043 LISBOA - Portugal


2. Metadata update Top
2.1. Metadata last certified 22 July 2024
2.2. Metadata last posted 22 July 2024
2.3. Metadata last update 22 July 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.

On a voluntary basis, in order to meet internal information needs, Portugal also compiles information by financing agents (e.g. General government, Insurance corporations, Corporations, Non-profit institutions serving households) and gross fixed capital formation by type of provider and capital goods. 

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.

Further classifications for national purposes: 

  • healthcare expenditure by financing agents (ICHA-FA) — which classifies the institutional units involved in the management of one or more financing scheme;
  • expenditure by type of provider and capital goods (ICHA-HK) - which classifies the gross fixed capital formation in health systems by type of provider and capital goods.

In relation to the European System of Accounts (ESA), healthcare expenditure compilation process is also used: general industrial classification of economic activities; NACE Rev. 2; classification of institutional sectors.

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; part of section O, Public administration and defence; part of section G, retail trade.

4. Health care financing agents (voluntary): FA1 - General government; FA2 - Insurance corporations; FA3 - Corporations (other than insurance corporations); FA4 - Non-profit institutions serving households (NPISH); FA5 - Households; FA6 - Rest of the world.

5. Capital goods (voluntary): HK.1.1.1- Infrastructure; HK.1.1.2 - Machinery and equipment; HK.1.1.3 - Intellectual property products.

3.4. Statistical concepts and definitions

SHA concept is the consumption of health care goods and services.

Health care statistics describe the process of providing and financing health care in countries by referring to health care goods and services, its providers and financing. For the collection of the data on health care expenditure the System of Health Accounts (SHA) and its related set of International Classification for the Health Accounts (ICHA) is used. SHA is a tri-axial system in which the financing, provision and consumption dimensions are covered by the ICHA (International Classification for Health Accounts): Health Care Functions (HC), Health Care Providers (HP), Health Care Financing Schemes (HF).

Data are presented in 3 summary (one-dimensional) tables and 3 cross-classification tables (2-dimensional tables).

Summary tables provide data on:

  • Current expenditure by provider (ICHA-HP);
  • Current expenditure by function (ICHA-HC);
  • Current expenditure by financing scheme (ICHA-HF).

Cross-classification tables refer to:

  • HC x HP: Health care expenditure by function and provider: data on which type of health care goods and services are supplied by which health care provider;
  • HC x HF: Health care expenditure by function and by financing scheme: data on how are the different types of services and goods financed;
  • HP x HF: Health care expenditure by provider and by financing scheme: data on from which health care provider and under which particular financing scheme are the services and goods purchased.

The classifications and definitions presented in the SHA 2011 manual are to be followed. Additional guidelines and material useful for compilers are also available at this address.

3.5. Statistical unit

Commission Regulation (EU) 2021/1901, and Commission Regulation (EU) 2015/359 previously in force, concern the collection of data on "current expenditure on healthcare" which is defined as the "final consumption expenditure of resident units on health care goods and services".

There is a very close relationship between the concept of "final consumption expenditure" as defined in the System of Health Accounts (SHA) and in National Account and, as a consequence, also between the underlying economic transactions as recorded in the two accounting frameworks.

In National Accounts there are two types of statistical units: institutional units and local kind-of-activity units (KAU). A local KAU groups all the parts of an institutional unit in its capacity as producer which are located in a single site. A local KAU belongs to one and only one institutional unit.

SHA uses the same two types of units for data compilation.

Local KAUs operating as providers of healthcare goods and services to resident units are statistical units in SHA.

Also transactions by institutional units are recorded in SHA, in which framework institutional units are also referred to as "financing agents". More precisely, SHA financing agents are institutional units that manage one or more financing schemes. The transactions are executed by the financing agents, according to the rules of the financing schemes.

Financing agents serve as key statistical units in producing national health accounts. While financing schemes are the key units for analysing how the consumption of health care goods and services is financed, the data concerning the relevant transactions are collected either from the financing agents that operate the different financing schemes or from the providers.

The concept of "healthcare financing schemes" in SHA is an application and extension of the concept of "social protection schemes" defined by the European System of Social Protection Statistics (ESSPROS):  "a distinct body of rules, supported by one or more institutional units, governing the provision of social protection benefits and their financing ...". The social protection scheme is the statistical unit in ESSPROS. It is an analytical unit that allows describing the complete structure of the social protection financing system: expenditure and receipts.

According to SHA Manual 2011, "the key concepts for describing the structure of the health care financing system are based on measuring: (a) the expenditure of health care financing schemes, under which goods and services are purchased directly from health care providers, on the one hand, and (b) the types of revenues of health care financing schemes, on the other hand.  

Commission Regulation (EU) 2021/1901 (and prior Commission Regulation (EU) 2015/359) limits its scope to the collection of data on the expenditure of health care financing schemes.

3.6. Statistical population

SHA focuses on the consumption of health care goods and services by the resident population irrespective of where this takes place. This implies the inclusion of imports (from non-resident providers) and the exclusion of exports (health care goods and services provided to non-residents).

3.7. Reference area

The data aims at providing a complete overview of expenditure on health care goods and services consumption of services and goods by the resident population on the national territory of a country. 

Portuguese territory includes:

  • Mainland Portugal;
  • The Autonomous Region of Azores;
  • The Autonomous Region of Madeira.
3.8. Coverage - Time

2000-2022.

3.9. Base period

Not applicable.


4. Unit of measure Top

Current expenditure data are presented according to following units:

  • expenditure amount in thousand/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: 2017-2022.


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.

The official statistical activity and the application of the principle of statistical confidentiality are carried out in strict compliance with the established i) in the Constitution of the Portuguese Republic, ii) in Law no 22/2008, of 13 of May, which establishes the principles the norms and the structure of the NSS (SEN Law), iii) Law 67/98 of 26 October, Law on the Protection of Personal Data and iv) Regulation (EC) 223/2009 of the European Parliament and of the Council of 11 (European Statistics Regulation) and in accordance with the principles agreed between EU Member States, transposed into the European Statistics Code of Conduct, namely Principle 5 concerning Statistical Confidentiality.

Violation of statistical confidentiality, whether intentional or not (willful or negligent), is severely punished, constituting a very serious offense; breach of the obligation of professional secrecy entails disciplinary and criminal offense (a crime punishable by up to 5 years' imprisonment), pursuant to Articles 25 and of the National Statistical System Law.

7.2. Confidentiality - data treatment

Since SHA data are derivative statistics in Portugal, confidentiality is not a common problem. However, in case it takes place, Eurostat is warned of the confidential nature of data, so that public dissemination does not occur.


8. Release policy Top
8.1. Release calendar

At the national level, press releases are published on an annual basis.

8.2. Release calendar access

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

At the national level, the release calendar is publicly available on the Statistics Portugal's website at the following website : INE calendarios.

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.

Portugal's statistics dissemination policy follows the rules established in the Law on the National Statistical System and the Organic Law of Statistics Portugal, and is based on the principles and the best practices for official statistics advocated by the EU and the UN.
The Dissemination policy of Statistics Portugal lays down the fundamental principles governing the dissemination of official statistics, directly or indirectly produced under its responsibility. It should have as main reference the applicable principles of the National Statistical System: technical independence, statistical confidentiality, quality and accessibility. Statistical information is made available impartially and simultaneously to all users. 
In accordance with provision 15, Chapter B of the Dissemination Policy, prior access, under embargo, to official statistical data is granted (at 9 am of the release day) to the Directors of Madeira and Azores Regional Statistics Offices, when data allow for NUTS II breakdown.


9. Frequency of dissemination Top

Annual.


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

News release are published on the Statistics Portugal's website at the following website: INE DESTAQUES.

10.2. Dissemination format - Publications

At the national level, no paper or electronic publications are produced. There is a comprehensive press release.

10.3. Dissemination format - online database

The online national database is available on the Statistics Portugal's website at the following website : INE contexto.

The following cross tables are disseminated:

10.4. Dissemination format - microdata access

Not applicable.

10.5. Dissemination format - other

On the Statistics Portugal's website, we have also published infographies based on SHA data (INE infografia).

10.6. Documentation on methodology

SHA methodological document (portuguese version) is available on the Statistics Portugal's website at the following link: INE contexto.

Integrated metadata system can be accessed in: SMI INE.

10.7. Quality management - documentation

Quality documentation is 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.

Statistics Portugal began a systematic quality approach in 1996, when it was decided, by its Board, to implement a Quality Management System. Currently there is a Unit responsible for quality management (the Planning, Control and Quality Unit), which reports directly to the Board. Another Unit (the Methodological Unit) also deals with aspects related to product/survey quality.The three main objectives of Statistics Portugal Quality Management System then defined and still present today are: to continuously improve the quality of: i) the products; ii) the services rendered to customers; and iii) the work and inter-department relations at all levels of the organization. Quality audits, documentation of processes and surveys of users’ satisfaction were significant activities of this system, as the experience shows. It also deals with aspects related to the implementation of the European Statistics Code of Practice and maintains a close relation to the ESS at this level of interest. This system comprises a wide range of instruments, methods and activities covering process documentation, performance assessment and user relations, such as:• Internal and external audits;• Performance indicators and management tools, particularly in the context of the Public Administration, as well as a specific set of quality monitoring criteria;• User and respondent satisfaction questionnaires, considering the different services provided; • Suggestions and complaints management system; • Documentation system (E.g. methodological documentation, internal procedures, quality reports and the Statistical Production Process Handbook). The last round of peer review took place in 2015 to assess the implementation of the European Statistics Code of Practice in Portugal in the context of the second round of Peer Reviews to Member States. According to the Peer Review Report, the main conclusions of the last peer review are mirrored in the resulting recommendations, which cover: the different roles and responsibilities of the actors of the National Statistical System (NSS), including the access to administrative data; budget procedures and constraints and the availability of human resources; quality documentation, particularly in regard to quality reports and process description, and quality audits; and dissemination issues, mainly related to data and microdata accessibility, statistical literacy and the visibility of the NSS. The reviewers’ recommendations resulted into an Improvement Actions Plan, properly scheduled and involving both Statistics Portugal and Other National Authorities (ONA). It comprises the current situation in the context of each of the reviewers’ recommendations, the associated improvement actions and the timeline for their implementation. This implementation is regularly monitored by Statistics Portugal and reported to EUROSTAT.

11.2. Quality management - assessment

The SHA data are exhaustive, relevent, coherent, accurate, reliable, comparable and consistent with national accounts. Improvements in the estimations of households out-of-pocket and long term care (health) are expected in the coming years.


12. Relevance Top
12.1. Relevance - User Needs

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

At the national level, the main users of the SHA data are: statistical data (PORDATA), the Ministry of Health, reseachers, journalists and students.

In general, the following information needs were recorded:

  1. conceptual and methodological clarifications - coverage and borderlines of the SHA data, criteria of classification, concepts and definitions, etc.;
  2. SHA data available: calendar, SHA data breakdown, etc.
12.2. Relevance - User Satisfaction

At the national level, Statistics Portugal performs a online user satisfaction survey to evaluate their level of satisfaction with the statistical information produced as well as the information available on its website at the level of content and usability.

12.3. Completeness

SHA data not available: HF.4

SHA data not exist: HF.1.2.2

SHA data is partially not available: HF.1.2.1

SHA data reported elsewhere: HC3.2 

For HF.4, an estimate is missing due to a lack of data sources. HF.1.2.1 is underestimated because the data available from social insurance do not allow an assessment of the health-related part of HC.72 (Administration of health financing).

For HC.3.2, an estimate is missing and reported in HC.1.2/HC.2.2.


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.

In general, any improvement in the coverage of data from the main financing agents implies a revison in the estimates of household expenditure, since these are estimated as a residual value.

13.2. Sampling error

Not applicable.

13.3. Non-sampling error

Not applicable.


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

Statistics Portugal complies the Commission Regulation (EU) 2021/1901 (and prior Commission Regulation (EU) 2015/359) transmission deadlines.


15. Coherence and comparability Top
15.1. Comparability - geographical

Not applicable at national level.

15.2. Comparability - over time

There are no breaks in 2000-2022 series.

15.3. Coherence - cross domain

SHA data are reconcilable and consistent with National Accounts data (principles, concepts, definitions and classifications). In statistcs Portugal, the SHA data are compiled closely and linked with National Accounts. Despite the metodological differences between SHA and National Accounts (in terms of borderlines: occupational health care and Household provision of health (and social) care), the definitions, data sources, the criteria of classification and accounting methods are the same in both systems.

Main differences with national accounts:

  • There is no direct correspondence between SHA data and the final consumption expenditure of residents on human health activities estimated by national accounts. SHA data covers the administration of financing and regulation of health systems, as well as includes part of social support activities with housing.
  • SNA recommends evaluating the output of retailers by trade and distribution margins. In SHA data, the expenditure of retail providers (HP.5) considered the value of sales in goods and products valued at acquisition prices.                                                                                                  - --- SHA recommends following the standard SNA rules for drawing the production boundary of health care services, albeit with two 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; 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.

Coherence between SHA and ESSPROS has not been considered.

15.4. Coherence - internal

Cross-classified core tables are internally consistent.


16. Cost and Burden Top

Costs of production of SHA data (€)

                                                2021       2022

 Costs of staff                        37.742,43   40.417,73

Total SHA operational costs    37.742,43    40.417,73

In 2021 and 2022, the international meetings were held via videoconference, with no associated travel or accommodation costs.


17. Data revision Top
17.1. Data revision - policy

In a general way, the Portuguese Health Accounts are reviewed and updated when National Accounts implement a new benchmark year.

In each year, the Portuguese Health Accounts follow the release calendar: final results in T-3; provisional results in T-2; and preliminary results in T-1.

17.2. Data revision - practice

Under the 2024 SHA Joint Questionnaire, Portugal submitted revised data for the years 2021-2022, replacing the previous version (submitted in 2023). Data for 2021 and 2022 were revised due to the incorporation of the updated and final data sources. Additionally, preliminary data is presented for 2023. The data submitted are final for the year 2021, provisional for the year 2022 and preliminary for the year 2023.


18. Statistical processing Top
18.1. Source data

Several data sources are used (three core tables):

  • Surveys/census: 11
  • Public administrative records: 5
  • Financial reports: 7
  • Other: 2

Surveys/censuses

Source name

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

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)

Survey on International Tourist  (ITI)

Final consumption expenditure of residents outside the economic territory and final consumption expenditure of non-residents within the economic territory

HF.3; HF.1.1; HP.9

HP.1; HP.5

2005; 2006; 2007; 2013; 2016

 

Irregular

Final consumption expenditure of non-residents estimated is deducted from the expenditure of public and private hospitals and pharmacies.

Balance of Payments (BoP)

Final consumption expenditure of residents outside the economic territory and final consumption expenditure of non-residents within the economic territory

HF.1.1; HF.3; HP.9; HP.1;HP.5

2000-2023

 

Monthly, quarterly and annual

Final consumption expenditure of non-residents estimated is deducted from the expenditure of public and private hospitals and pharmacies.

Single report (Office of Strategic Studies of the Ministry of Economy)

Financing/production of occupational health care services provided to employees of public and private entities (other than health providers) by internal occupational health services (including expenditure on the organization of safety and occupational health services and the training, information and consultation)

HF.1.1; HF.2; HP.8

2010-2022  24 months (definitive data)  Annual  

Portuguese Association of Insurers (APS)

Statistical information on health insurance: insurance production, claims costs, technical provisions, number of insurance policies, number of insured persons, health expenditures participated and reimbursed

 HF.2

2000-2022 8 - 12 months (definitive data) Annual  

Autoridade de Supervisão de Seguros e Fundos de Pensões (ASF) (the supervisory body for the insurance and pension funds sector)

Statistical information on health insurance: direct insurance amounts paid and costs of health insurance administration (production of insurance service), quarterly Statists of production and claims costs

HF.2

2000-2023 9 months (definitive data); 1 month (preliminary data) Annual and quarterly  
Hospitals Survery Number of medical services provided by each hospital

HP.1

2000-2022 12 months (provisional data); 24 months (definitive data) Annual  
Quarterly survey of non financial corporations Sales of health care services by private providers

HP.1, HP.2, HP.3, HP.4, HP.5, HP.6, HP.8

2000-2023 3 months (preliminary data) quarterly Does not provide direct data on the financing of the health system but contributes to estimate the health care production of private providers.
Consumer prices index Prices by each medical service

HP.1

2000-2023   Monthly  
Mutual aid associations survey Financial information (cost of production and financing)

HP.1, HP.3, HF.2

2000-2021   Annual  
Inventory of Social Facilities ("Carta Social") by Strategy and Planning Office (GEP) of the Ministry of Labor, Solidarity and Social Security (MTSSS) Share of users in social facilities by dependency level to perform Basic Activities of Daily Living (ADL); and share of users in social facilities by age group

HP.2; HP.8; HC.3; HCR.1

2000-2021   Annual  
Household expenditure survey Breakdown of HP9 expenditure

HP.9; HF.3; HC.1.1; HC.1.3

2016   Quinquennial  

 

Public administrative records

Source name

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

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)

Central Administration of Health Systems (ACSS, I.P.)

Financial information: transfers, funding of NHS providers, costs of production of NHS providers, subcontracts/conventions, reimbursements and payments under international conventions and functional structures of NHS providers

HF.1.1; HF.2; HF.3; HP.1; HP.2; HP.3; HP.4; HP.7; HP.9

2000-2023

3 months (preliminary data), 9 months (definitive data)

Annual and quarterly

 

National Pharmacy and Medicines Institute (INFARMED)

Pharmaceuticals expenditure, financing structure of pharmaceutical market, monthly market analysis

HF.1.1; HF.2; HF.3; HP.5

2000-2023

 Variable (definitive data)

Monthly and annual

 

Ministry of Finance

Income tax deductions related to health care services and retirement homes

HF.1.1; HF.3

2000-2023

11 months (definitive data); 3 months (preliminary data)

Annual

 

Budgets and Accounts of Private Institutions of Social Solidarity (OCIP)

Costs of production and financing of their own production (individual record)

HP.1, HP.2, HP.3, HP.4, HP.5, HP.6, HP.8; HF.2

2010-2022

18 months (definitive data)

Annual

 

Simplified Business Information (SBI)

Sales of health care services by private providers (individual record)

HP.1, HP.2, HP.3, HP.4, HP.5, HP.6, HP.8

2006-2022

7 months (definitive data)

Annual

Does not provide direct data on the financing of the health system, but contributes to estimate the health care production of private providers.

 

 Financial reports

Source name

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

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)

Armed Forces Social Action Institute, I.P. (IASFA, I.P.)

Statistical data on the healthcare provision activities and financing supported by public health subsystems managed by different branches of the Armed Forces

HF.1.1; HP.7

2010-2022

6 months (definitive data)

Annual

 

Annual financial statements of Social insurance scheme for public sector workers and civil servants (ADSE)

Costs of production, conventions and reimbursements

HF.1.1 (until 2005); HF.2.1; HP.7

2000-2023

6 months (definitive data)

Annual

 

Annual financial statements of public providers in the Autonomous Regions of Azores and Madeira

Costs of production and financing, subcontracts/conventions and reimbursements, pharmaceuticals expenditure

HF.1.1; HP.1; HP.3; HP.5

2000-2022

6 months (definitive data)

Annual

 

Other general government non-market producers units’ annual financial statements (e.g.: National Institute of Emergency Medicine (INEM); Institute of forensic medicine (IMLegal))

Costs of production and financing of their own production

HF.1.1; HP.3; HP.4; HP.7; HP.8

2000-2023

6 months (definitive data); 3 months (preliminary data)

Annual and quarterly

 

General State Accounts (Ministry of health; Ministry of Home Affairs)

Costs of production and financing, conventions and reimbursements supported by social services of Portuguese National Republican Guard (GNR) and social services of Public Security Police (PSP)

HF.1.1; HP.7

2000-2023

6 months (definitive data); 3 months (preliminary data)

Annual and quarterly

 

Social Security Report and Annual Financial Statement

Financing health care expenditure under professional sickness and risks, health related cash benefits, transfers assigned to non-profit institutions and transfers assigned to the households by the assistance to sick family members

HF.1.2; HP.8

2000-2023

6 months (definitive data); 3 months (preliminary data)

Annual and quarterly

 

Annual financial statements of private health subsystems as: Union of bank employees of North, Centre and South Regions and Islands Medical Assistance Services; National Union of banks technical staff (SNQTB); ALTICE - Healthcare Association (ALTICE–ACS); Social services of CGD (major Portuguese Credit Institution)

Costs of production, financing of their own production and other providers through agreements and conventions

 HF.2; HF.3; HP.3

2000-2022

3 months (definitive data)

Annual

 

 

 Other

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)

National Accounts

Final consumption expenditure on durable medical goods and medical appliances; Intermediate consumption of pharmaceuticals by institutional sector (reference year 2016)

Other

HF.1.1; HF.2; HF.3; HP.5; HP.3; HP.1; HP.4

2000-2021

21 months (definitive data)

Annual

 

Information on the use of credit cards by residents and non-residents

Final consumption expenditure of residents outside the economic territory and final consumption expenditure of non-residents within the economic territory

Other

 

2010-2023

 

Monthly, quarterly and annual

 

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.

National data collection (three core tables):

  • Annual financial statements online available are extracted from the official websites of the entities. When they are not available, emails are sent to the entities requesting the submission. 
  • Data collection related to National Health Service (NHS), including the Public-private partnerships (PPPs), is carried out by the Ministry of Health. Under a protocol with Statistics Portugal, the Ministry of Health provides data according to the requested details and classifications of SHA (transfers, financing of NHS providers, costs of production of NHS providers, subcontracts/conventions, reimbursements and payments under international conventions) and also compiles the functional structures of NHS providers. Aggregate financial data (financing and cost of producion of NHS entities) to compile preliminary year N-1 are also available.  
  • Data from National Pharmacy and Medicines Institute (INFARMED) are, usually, available on the official website. These data are also under a protocol with Statistics Portugal. INFARMED collects economic data related to the pharmeceutical sector in Portugal. 
  • Simplified Business Information (SBI) - The SBI results from the integration in a single act of the provision of tax information, the accounting and statistical data from corporations. The SBI is sent electronically to the Ministry of Finance. After the validation process, data are centralized and storaged in relational data bases (Oracle) that are share with Statistics Portugal, Central Bank (Banco de Portugal), Ministry of Justice and Ministry of Economy (since 2015). 
  • Inventory of Social Facilities ("Carta Social") is collected, annually, by Strategy and Planning Office (GEP) of the Ministry of Labor, Solidarity and Social Security (MTSSS). 
  • Statistics data collected and compiled by Statistics Portugal integrated in SHA: 
  1. National Accounts data (derivated statistics)
  2. Survey on International Tourism (ITI) - Survey carried out by Statistics Portugal in cooperation and financial assistance from Turismo de Portugal, I.P. The survey took place at air, road and sea borders and collected detailed information on tourist demand (including expenditure).
  3. Hospitals Survey - The physical data of the hospitals (Mainland) are collected by Statistics Portugal. In the case of hospitals belonging to the National Health Service, the Ministry of Health collaboratesRegional Statistics Service of the Azores and Regional Directorate of Statistics of Madeira also collect data from their hospitals. 
  4. Consumer prices index - Prices are collected on a monthly basis in retail outlets and service providers, using paper collection forms and price collection software. Housing rents prices are collected directly from households using the same method or by phone interview. Some prices (such as administered prices and fuels) are centrally collected, by phone or internet. The outlets are chosen to represent the existing trade and services network.
  5. Mutual aid associations survey - Survey carried out by Statistics Portugal.
  • Budgets and Accounts of Private Institutions of Social Solidarity (OCIP) - Since 2010, Private Institutions of Social Solidarity and similar institutions have obligatorily submitted their financial information, electronically, to Social Security. Since 2011, Statistics Portugal has access to the database that centralizes the individual financial data of these instituions namely: Balance Sheet, Cash flows, Statement of Results, Statement of Results by Social Response.
  • Ministry of Finance - The total amount of income tax deductions related to health care services and retirement homes is, anually, provided by the Ministry of Finance.
  • Information on the use of credit cards by residents and non-residents - Information on non-resident cards used in Portugal for credits and resident cards used abroad for debits are collected by the corporation (SIBS) which controls the entire electronic payment system.
  • Balance of Payments (BoP) - Banco de Portugal is the entity responsible for the collection. The Balance of Payments systematically records, for a given period of time (usually a month, a quarter or a year), all economic transactions between Portugal and the Rest of the World according to the methodological principles contained in the Manual of the IMF's balance of payments. The current statistical system of external transactions is characterized essentially by the gathering of information from the following sources: bank reporting, direct reporting, General Directorate of the Treasury, Statistics Portugal and Banco de Portugal.
  • Single report - The information on the company's social activity (Single Report) is collected, annually, by the Office of Strategic Studies of the Ministry of Economy. The report must be submitted by all employers (financial and non-financial corporations, Households, general administration and non-profit institutions).
  • Statistical information on health insurance from Portuguese Association of Insurers (APS) - Survey is carried out, annually, by the Portuguese Association of Insurers (APS) collecting a set of variables from health insurances companies.
  • Statistical information on health insurance from the Autoridade de Supervisão de Seguros e Fundos de Pensões (ASF) (the supervisory body for the insurance and pension funds sector) is extracted from the official website. The ASF collect annually financial information and physical data from all insurances companies.
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)

National data validation: manual validation is performed throughout the compilation process to ensure the consistency and completeness of the final results.

For instance:

  • Cross checking between different data sources from financing side and production side;
  • Evaluation of completeness and coverage of each data source;
  • Control and analysis of financial microdata recorded by each statistical unit;
  • Identification and elimination of eventual double counting problems;
  • Cross checking between Health data and National Accounts data.
18.5. Data compilation

Several methods are normally used for estimations (three core tables):

  • 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 expenditure, and derive the expenditure flows from the unmeasured financing scheme as a residual.
  • Pro-rating/Utilisation key: Typically in the absence of direct spending data, a utilisation key linked to the proportion of resources used can be constructed in order to distribute e.g. aggregate provider spending across functions. For every key a fraction of total utilisation within the cost-unit is assigned: fractions in the key must add up to 100% of all care delivered by the cost-unit. Examples of utilisation keys are admissions, bed-days, contacts, staffing, etc.
  • Interpolation/Extrapolation: In the absence of data for the period in question, missing values can be estimated using known data points.
  • Or other

SHA variable(s)

Main method

Brief description of methodology

HP.1-HP.4; HP.5.9; HP.6-HP.8

Other

Output approach: Health production, by provider, was estimated considering the separation between public/private and market/non-market providers. This distinction of providers follows the European System of Accounts (ESA) criterion (when the price covers less than 50% of the cost, the provider is treated as a non-market producer). The market health output was evaluated  by the health care sales. The non-market output  was indirectly estimated using the sum of production costs. The financial reports (public, private and non profit institutions), the administrative data provide by ACSS, IP., the General State Accounts, the Budgets and Accounts of Private Institutions of Social Solidarity (OCIP) and National Accounts data were the main data sources. To avoid the output double-counting the intra-consumption of health care services between health care providers was excluded.

HP.5.1

Other

The pharmacies output (sales of pharmaceuticals) incorporated the administrative data available by INFARMED for the total market (Mainland), by Regional Secretariat for Health of Azores and by IASAUDE,IP-RAM / CEFAR(ANF) (Madeira). It was also included additional information on sales of other prescribed medical products sold by pharmacies (used in the control of diabetes, dietary, ostomy and incontinence, etc.) available by ACSS, I.P.. The curative care services provided by pharmacies were estimated based on the data available by the Simplified Business Information (SBI) for these providers.

HP.5.2

Other

The retail sellers and other suppliers of durable goods and medical appliances output included the final consumption expenditure on these products estimated by National Accounts. The curative care services provided by these providers were estimated based on the data available on the Simplified Business Information (SBI).

HP.8.1

Other

The financial data from Social Security allowed the separation of transfers assigned to households in temporary or permanent way (assistance to the disabled people, dependent and chronically ill) for the assistance to their sick family members. 

HP.8.2

Other

Single report collected by the Office of Strategic Studies of the Ministry of Economy allowed to evaluate the financing/production of occupational health care services provided to employees of public and private entities (other than health providers) by internal occupational health services (including the expenditure on the organization of safety and occupational health services and the training, information and consultation). Under HP.8.2, it was also recorded the expenditure on transportation of patient provided by other entities, such as taxis (estimated by the financing amounts), and the military hospitals and the Institute of forensic medicine (IMLegal) output (non-market output).The expenditure of residential facilities for elderly persons or disabled people, home care services and integrated Social Security establishments, which provide long-term care (health) as a secondary activity, was also included in this category.

HP.9

Other

The final health consumption expenditure of residents outside the economic territory was estimated considering financing data (from Central Administration of Health Systems (ACSS, IP.), Social insurance scheme for public sector workers and civil servants (ADSE), etc.), the Balance of Payments (BoP) data, the Survey on International Tourist (ITI) and the information on the use of credit cards. 

HF.1.1; HF.1.2; HF.2; HF.3

Other

Financing approach: All health care financing sources were appropriated and classified by provider/function, depending on the detail of available data. The Central Administration of Health Systems (ACSS, I.P.) provided financial data about all sources of financing by each NHS provider (belonging to National Health Service),  including separated data on “fees” supported directly by households. Also provided the amounts that NHS paid by type of subcontracts and conventions with private providers. The financial data from all public/private health subsystems (ADSE, GNR, PSP, ADM, SAMS, SSCGD, SNQTB, etc.), such as conventions and reimbursements supported, was available and classified by type of provider/function (when is possible). The income tax deductions related to health care services and retirement were are also be available, annually, and was divided by provider and function, according to the structure of household expenditure by provider and function. The Portuguese Association of Insurers (APS) and the Autoridade de Supervisão de Seguros e Fundos de Pensões (ASF) (the supervisory body for the insurance and pension funds sector) provided the health expenditures participated and reimbursed, by type of health service, and the direct insurance amounts paid, respectively.

HF.1.1; HF.3

Balancing item/Residual method

Conciliation process: In the case of private providers, the households’ health expenditure was estimated as a residual value between production/financing.  In the case of National Health Service providers, the residual value between production/financing was allocated to NHS financing.

HC.1-HC.9

Pro-rating/Utilisation key

Structural functions: In a general way, the expenditure on HP.1, HP.2; HP.3, HP.4 by function was estimated by applying structures/keys (determined based on administrative data provide by ACSS, I.P. and other Annual financial statements available) to the total current expenditure, as a proxy of the services provided by this set of providers. However, when the information available was very limited, the same structures were applied, according to the financing amount allocated to each set of providers (organized by institutional sectors classification) by financing agent. In some cases, it was possible to make a direct correspondence between output/financing/function (i.e. HP.7-HF.1.1-HC.7.1).

18.6. Adjustment

Not applicable.


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