Reference metadata describe statistical concepts and methodologies used for the collection and generation of data. They provide information on data quality and, since they are strongly content-oriented, assist users in interpreting the data. Reference metadata, unlike structural metadata, can be decoupled from the data.
Health care expenditure quantifies the economic resources dedicated to health functions, excluding capital investment. Healthcare expenditure concerns itself primarily with healthcare goods and services that are consumed by resident units, irrespective of where that consumption takes place (it may be in the rest of the world) or who is paying for it. As such, exports of healthcare goods and services (to non-resident units) are excluded, whereas imports of healthcare goods and services for final use are included. Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing scheme (e.g. social security, private insurance company, household). For the collection of the data on health care expenditure the System of Health Accounts (SHA) and its related set of International Classification for the Health Accounts (ICHA) is used. SHA sets out an integrated system of comprehensive and internationally comparable accounts and provides a uniform framework of basic accounting rules and a set of standard tables for reporting health expenditure data. The System of Health Accounts - SHA 2011 is a statistical reference manual giving a comprehensive description of the financial flows in health care.
It provides a set of revised classifications of health care functions, providers of health care goods and services and financing schemes. The SHA is currently used as a basis for a joint data collection by OECD, Eurostat and WHO on health care expenditure. The manual sets out in more detail the boundaries, the definitions and the concepts of health accounting – responding to health care systems around the globe with very different organisational and financing arrangements.
Accounting period: Health expenditure and financing data pertain to the calendar year (1 January to 31 December).
healthcare expenditure by financing schemes (ICHA-HF) — which classifies the types of financing arrangements through which people obtain health services; health care financing schemes include direct payments by households for services and goods and third-party financing arrangements;
healthcare expenditure by function (ICHA-HC) — which details the split in healthcare expenditure following the purpose of healthcare activities — such as, curative care, rehabilitative care, long-term care, or preventive care;
healthcare expenditure by provider (ICHA-HP) — which classifies units contributing to the provision of healthcare goods and services — such as hospitals, residential facilities, ambulatory health care services, ancillary services or retailers of medical goods.
3.3. Coverage - sector
1. Household individual consumption on health, including the collective consumption with two exceptions:
Occupational health care (intermediate consumption within establishments) minus an estimated share of occupational health in health providers’ and other medical industries net administration;
“Remunerated” unpaid household production in the form of transfer payments (social benefits in cash) for home care of sick, disabled and elderly persons provided by family members.
SHA 2011 Manual recommends following the standard System of National Account (SNA) rules for drawing the production boundary of health care services, albeit with two notable exceptions:
Occupational health care is included in the national totals of health care spending. In SNA, this item is recorded as ancillary services and part of intermediate production of enterprises and
Part of the cash transfers to private households for care givers of home care for the sick and disabled are treated as the paid household production of health care.
2. Health care financing schemes:
HF1 Government schemes and compulsory contributory health care financing schemes;
HF2 -voluntary health care payment schemes;
HF3 - Household out-of-pocket payment;
HF4 - rest of the world financing schemes.
3. NACE rev. 2, section Q, human health and social work activities.
3.4. Statistical concepts and definitions
SHA concept is the consumption of health care goods and services.
Health care statistics describe the process of providing and financing health care in countries by referring to health care goods and services, its providers and financing. For the collection of the data on health care expenditure the System of Health Accounts (SHA) and its related set of International Classification for the Health Accounts (ICHA) is used. SHA is a tri-axial system in which the financing, provision and consumption dimensions are covered by the ICHA (International Classification for Health Accounts): Health Care Functions (HC), Health Care Providers (HP), Health Care Financing Schemes (HF).
Data are presented in 3 summary (one-dimensional) tables and 3 cross-classification tables (2-dimensional tables).
Summary tables provide data on:
Current expenditure by provider (ICHA-HP)
Current expenditure by function (ICHA-HC)
Current expenditure by financing scheme (ICHA-HF)
Cross-classification tables refer to:
HC x HP: Health care expenditure by function and provider: data on which type of health care goods and services are supplied by which health care provider;
HC x HF: Health care expenditure by function and by financing scheme: data on how are the different types of services and goods financed;
HP x HF: Health care expenditure by provider and by financing scheme: data on from which health care provider and under which particular financing scheme are the services and goods purchased.
The classifications and definitions presented in the SHA 2011 manual are to be followed. Additional guidelines and material useful for compilers are also available at this address.
3.5. Statistical unit
Commission Regulation (EU) 2021/1901, and Commission Regulation (EU) 2015/359 previously in force, concern the collection of data on "current expenditure on healthcare" which is defined as the "final consumption expenditure of resident units on health care goods and services".
There is a very close relationship between the concept of "final consumption expenditure" as defined in the System of Health Accounts (SHA) and in National Account and, as a consequence, also between the underlying economic transactions as recorded in the two accounting frameworks.
In National Accounts there are two types of statistical units: institutional units and local kind-of-activity units (KAU). A local KAU groups all the parts of an institutional unit in its capacity as producer which are located in a single site. A local KAU belongs to one and only one institutional unit.
SHA uses the same two types of units for data compilation.
Local KAUs operating as providers of healthcare goods and services to resident units are statistical units in SHA.
Also transactions by institutional units are recorded in SHA, in which framework institutional units are also referred to as "financing agents". More precisely, SHA financing agents are institutional units that manage one or more financing schemes. The transactions are executed by the financing agents, according to the rules of the financing schemes.
Financing agents serve as key statistical units in producing national health accounts. While financing schemes are the key units for analysing how the consumption of health care goods and services is financed, the data concerning the relevant transactions are collected either from the financing agents that operate the different financing schemes or from the providers.
The concept of "healthcare financing schemes" in SHA is an application and extension of the concept of "social protection schemes" defined by the European System of Social PROtection Statistics (ESSPROS): "a distinct body of rules, supported by one or more institutional units, governing the provision of social protection benefits and their financing ...". The social protection scheme is the statistical unit in ESSPROS. It is an analytical unit that allows describing the complete structure of the social protection financing system: expenditure and receipts.
According to SHA Manual 2011, "the key concepts for describing the structure of the health care financing system are based on measuring: (a) the expenditure of health care financing schemes, under which goods and services are purchased directly from health care providers, on the one hand, and (b) the types of revenues of health care financing schemes, on the other hand.
Commission Regulation (EU) 2021/1901 and (prior Commission Regulation (EU) 2015/359) limits its scope to the collection of data on the expenditure of health care financing schemes.
3.6. Statistical population
SHA focuses on the consumption of health care goods and services by the resident population irrespective of where this takes place. This implies the inclusion of imports (from non-resident providers) and the exclusion of exports (health care goods and services provided to non-residents).
3.7. Reference area
The data aims at providing a complete overview of expenditure on health care goods and services consumption of services and goods by the resident population on the national territory of a country.
3.8. Coverage - Time
Detailed data based on SHA 2011 is available for the reference years 2014-2021. At the time of submitting this quality report, the data for the reference year 2022 is being analysed by Eurostat.
3.9. Base period
Not applicable
Current expenditure data are presented according to following units:
expenditure amount in millions of euro
expenditure amount in millions of national currency
expenditure amount in millions of PPS
percentage of GDP
amount in euro per capita
amount in national currency per capita
amount in PPS per capita
percentage of current health expenditure (CHE)
Health care expenditure data are annual data, corresponding to the calendar year.
This quality report covers the following reference years: 2018, 2019, 2020, 2021, 2022.
6.1. Institutional Mandate - legal acts and other agreements
Countries submit data to Eurostat on the basis of Commission Regulations (EU):
2015/359 of 4 March 2015 implementing Regulation (EC) No 1338/2008 of the European Parliament and of the Council as regards statistics on healthcare expenditure and financing, until the reference year 2020.
2021/1901 of 29 October 2021 implementing Regulation (EC) No 1338/2008 of the European Parliament and of the Council as regards statistics on health care expenditure and financing, for which the first reference year will be in 2021.
The implementing Regulations specify the areas and the level of aggregation to be submitted by EU Member States and EEA countries (see Annex II of the Regulation).
6.2. Institutional Mandate - data sharing
Data collection takes place in agreement with the World Health Organization (WHO) and the Organization of Economic Co-operation and Development (OECD).
Not applicable since data is not yet being published by the Ministry for Health. Data is only available through Eurostat. Consequently, the Eurostat confidentiality policy applies
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.
Annual
10.1. Dissemination format - News release
No press released is issued.
10.2. Dissemination format - Publications
No press released is issued.
10.3. Dissemination format - online database
No online database is available.
10.4. Dissemination format - microdata access
Not applicable.
10.5. Dissemination format - other
Not applicable.
10.6. Documentation on methodology
Not applicable.
10.7. Quality management - documentation
Such documentation is not available
11.1. Quality assurance
Authorities responsible for SHA data collection work to ensure that the statistical practices used to compile national health accounts are in compliance with SHA methodological requirements and that good practices in the field are being followed, according to the methodology underlined in the SHA 2011 Manual and European Statistics Code of Practice respecting professional independence of the statistical authorities. Procedures are in place to plan and monitor the quality of the health care expenditure statistical production process.
11.2. Quality management - assessment
Data is based from already audited financial information or data available from the system used by the Treasury Department. This serves to ensure that the main items of expenditure are reliable and not subject to assumptions or subjective evaluations Following recent meetings with Eurostat, it is planned that Malta conducts a reconciliation exercise between SHA and National Accounts.
12.1. Relevance - User Needs
The main users of health care expenditure data are policy makers, research institutes, media, and students.
12.2. Relevance - User Satisfaction
At the moment no user satisfaction surveys are done on the SHA.
12.3. Completeness
Malta is providing almost all the compulsory data stipulated by the Commission Regulation 2015/359 and 2021/1901, relevant to the healthcare system that exists in the country. There is a deviation in the supplementary table (not required by the Commission Regulation); capital formation in which the Ministry is not reporting the gross fixed capital formation but only the capital expenditure incurred during the year.
13.1. Accuracy - overall
The sources to compile the data on health care expenditure are mainly administrative and register-based data, only a small percentage of the figures come from surveys or other means. Accordingly, for the health care expenditure data collection, accuracy deals with problems of coverage as the main possible source of errors.
13.2. Sampling error
As regards public expenditure no sampling is done. As regards private expenditure data given that is based on national accounts data, which is in turn based on administrative data and the Household Budgetary Survey (HBS). The data within the private expenditure component is subject to any sampling errors within the source of the data, i.e. the HBS primarily.
13.3. Non-sampling error
Not available
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
A number of reasons are behind the lack of punctuality. These were mainly related to lack of human resources and systems to collate data from differenct sources. There were also a number of new top financial officers in different entities, responsible for the collation of data.
15.1. Comparability - geographical
Not applicable.
15.2. Comparability - over time
Comparison previous SHA submission possible Figures in line with previous available data.
15.3. Coherence - cross domain
It is planned that the private health expenditure provided in SHA will be reconciled to other statistics collated by Malta's National Statistics Office.
15.4. Coherence - internal
Internal checks and reviews to ensure coherence
Restricted from publication.
17.1. Data revision - policy
The SHA submissions covering financial years 2021 and 2022 are still under review by Eurostat
17.2. Data revision - practice
SHA submissions are revised following feedback and clarifications received from Eurostat.
18.1. Source data
Several data sources are used:
Surveys/census: 1.
Public administrative records: 0.
Financial reports: 2.
Other: 0.
Surveys/Censuses
Source name
Brief description of source
Primary SHA variable(s) using this data source
Time period covered by this data source
Timeliness (Number of months after the end of the accounting period)
Frequency
Processing
National Statistics Office
Sources of data used include the Household Budgetary Survey which looks at Household consumption expenditure and Economic Activity Statistics.
A top-down approach was taken to estimate SHA in the private sector. Health-related activities expenditure derived from the National Statistics Office was apportioned according to the various SHA categories.
2014-2016
1 year
Annual
Financial Reports
Source name
Brief description of source
Primary SHA variable(s) using this data source
Time period covered by this data source
Timeliness (Number of months after the end of the accounting period)
Frequency
Processing
Departmental Accounting System reports / Audited Financial Statements
The Department Accounting System is the accounting system used by the Government of Malta. Data was used from this system, adjusted for accruals issues. Particular entities have separate stand-alone accounting systems and consequently operate more independently from the central government. In this case, they have to prepare audited financial reports, which were also used for SHA compilation.
The data used for the compilation of the SHA was based on internal management accounts and also audited financial statements of the individual Hospital, Entities & Departments of our Ministry for Health.
2014-2016
3 months / 12 months
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.
18.4. Data validation
The 2023 JHAQ includes a number of features which allow national data correspondents to perform various quality checks before submitting the data. The embedded programmes allow the verification of:
1- Consistency of the data between tables, This step checks if the marginal totals reported in each table of the JHAQ are consistent across all tables. For example, for each function (HC), the total across all financing schemes (HF) in the HCxHF table has to be equal to the total across all providers (HP) in the HCxHP table, i.e. the values in the column “All HF” in the HCxHF table have to be equal to the values in the column “All HP” in the HCxHP table. Any detected differences are flagged up in the corresponding row or column in the relevant tables and all inconsistencies are listed in the “Report” worksheet by variable code together with the amount by which the respective variable differs between the two compared tables. A positive value indicates that the first listed table has a higher value for the same variable, and vice versa.
2- Consistency of the data within tables, Any detected inconsistencies are listed by variable code together with an indication of which total is not equal to the sum of its subcomponents as well as the numerical difference. A positive figure indicates that the total is greater than the reported sub-components, and vice versa.
The presence of negative values,
Entries in the tables cannot be negative as they refer to the consumption of goods and services. If an individual data table is checked for internal consistency, the negative values check is performed for the relevant table and then any negative values are highlighted red and crossed out.
The presence of atypical entries,
The atypical entries check provides information whether the data tables contain values in cells which are – if at all – only reported by very few countries and are thus atypical for health accounting. If an individual data table is checked for internal consistency, the atypical entries check is performed for the relevant table. In the data tables, any cell containing an atypical entry will be highlighted for national data providers. Should any atypical entries be identified, compilers should scrutinize in detail the transactions that led to entries in those cells and assess whether the accounting rules of SHA have been correctly applied. If they come to the conclusion that the transactions are recorded in the correct categories of the ICHA classifications, then the corresponding atypical entries represent unique – and correctly accounted for – features of the country’s health system. In this case a short description of the nature of the transactions should be included in the accompanying Metadata file under “II.3. Atypical entries”. If, on the other hand, compilers come to the conclusion that the transactions are not recorded correctly, then they need to make adjustments in the concerned tables. In case the transactions recorded in a cell do not belong to the boundaries of SHA (e.g. they refer to intermediate consumption) the value of the respective cell should be deleted (and all cells that are affected by this change adjusted accordingly). In case the transactions are misreported and another category of the ICHA classification is more appropriate, the value of the cell should be transferred to the correct cell of the table.
3- The growth rates against the previous year and the magnitude of revisions as compared to previously submitted data. Results are grouped into three different categories:
Breaks in series (the current questionnaire shows no data for an item that is not null in the other file)
Newly reported (the current questionnaire contains data for an item that is empty in the other file)
Differences (all other types of differences)
18.5. Data compilation
SHA data is compiled using both a bottom-up approach and a top-down approach, depending on the funding source. Compilation is done by financing schemes and by different healthcare functions/task areas. The results of the various calculations are then aggregated.
To differentiate between the different SHA dimensions (especially HC and HP), quotas, pro-rating, and utilization keys are applied to some spending items. For some spending items, it is necessary to extrapolate or interpolate data when there is no up-to-date data available or when data is missing for certain years. For other spending items, estimation methods must be applied. In some instances, data is apportioned between cost centers or departments based on available information within the particular institutions.
Several methods are commonly used for estimations:
Balancing item/Residual method: For example, if data is available from the financing side, which allows for accurate estimation of the flows to a provider or function, an acceptable estimation method is to subtract these expenditure flows from the total revenues and derive the expenditure flows from the unmeasured financing scheme as a residual.
Pro-rating/Utilization key: Typically, in the absence of direct spending data, a utilization key linked to the proportion of resources used can be constructed to distribute, for example, aggregate provider spending across functions. For each key, a fraction of total utilization 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 utilization keys include 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.
Other methods: Additional estimation methods may also be applied as needed.
SHA variable(s)
Main method
Brief description of methodology
No specific variable mentioned
No specific method mentioned
There were no entities within our Ministry that reported the application of any estimation methods.
HC X HP
No specific method mentioned
To determine the apportionment of HC into its various components, the percentage distribution of expenditure according to activities in the main private hospital in Malta (which constitutes 98% of private hospitals' activity) was used for apportionment. Apportionment of HP categories into Out of Pocket and Voluntary Health Insurance used the distribution of Health Expenditure as reported by the National Health Accounts.
Data compilation for private healthcare expenditure:
HCxHF: Data is provided by the National Health Accounts to determine the respective apportionments for out-of-pocket expenditure and voluntary healthcare insurance expenditure.
HCxHP: The total private health expenditure information is obtained from data on private hospitals according to the NACE categories. The sub-components are calculated based on information provided by private hospitals on bed days and type of expenditure.
HPxFP: The apportionment is based on ratios obtained from expenditure patterns within the public hospital sector for the various FP components.
18.6. Adjustment
Not applicable.
None.
Health care expenditure quantifies the economic resources dedicated to health functions, excluding capital investment. Healthcare expenditure concerns itself primarily with healthcare goods and services that are consumed by resident units, irrespective of where that consumption takes place (it may be in the rest of the world) or who is paying for it. As such, exports of healthcare goods and services (to non-resident units) are excluded, whereas imports of healthcare goods and services for final use are included. Health care expenditure data provide information on expenditure in the functionally defined area of health distinct by provider category (e.g. hospitals, general practitioners), function category (e.g. services of curative care, rehabilitative care, clinical laboratory, patient transport, prescribed medicines) and financing scheme (e.g. social security, private insurance company, household). For the collection of the data on health care expenditure the System of Health Accounts (SHA) and its related set of International Classification for the Health Accounts (ICHA) is used. SHA sets out an integrated system of comprehensive and internationally comparable accounts and provides a uniform framework of basic accounting rules and a set of standard tables for reporting health expenditure data. The System of Health Accounts - SHA 2011 is a statistical reference manual giving a comprehensive description of the financial flows in health care.
It provides a set of revised classifications of health care functions, providers of health care goods and services and financing schemes. The SHA is currently used as a basis for a joint data collection by OECD, Eurostat and WHO on health care expenditure. The manual sets out in more detail the boundaries, the definitions and the concepts of health accounting – responding to health care systems around the globe with very different organisational and financing arrangements.
Accounting period: Health expenditure and financing data pertain to the calendar year (1 January to 31 December).
3 September 2024
SHA concept is the consumption of health care goods and services.
Health care statistics describe the process of providing and financing health care in countries by referring to health care goods and services, its providers and financing. For the collection of the data on health care expenditure the System of Health Accounts (SHA) and its related set of International Classification for the Health Accounts (ICHA) is used. SHA is a tri-axial system in which the financing, provision and consumption dimensions are covered by the ICHA (International Classification for Health Accounts): Health Care Functions (HC), Health Care Providers (HP), Health Care Financing Schemes (HF).
Data are presented in 3 summary (one-dimensional) tables and 3 cross-classification tables (2-dimensional tables).
Summary tables provide data on:
Current expenditure by provider (ICHA-HP)
Current expenditure by function (ICHA-HC)
Current expenditure by financing scheme (ICHA-HF)
Cross-classification tables refer to:
HC x HP: Health care expenditure by function and provider: data on which type of health care goods and services are supplied by which health care provider;
HC x HF: Health care expenditure by function and by financing scheme: data on how are the different types of services and goods financed;
HP x HF: Health care expenditure by provider and by financing scheme: data on from which health care provider and under which particular financing scheme are the services and goods purchased.
The classifications and definitions presented in the SHA 2011 manual are to be followed. Additional guidelines and material useful for compilers are also available at this address.
Commission Regulation (EU) 2021/1901, and Commission Regulation (EU) 2015/359 previously in force, concern the collection of data on "current expenditure on healthcare" which is defined as the "final consumption expenditure of resident units on health care goods and services".
There is a very close relationship between the concept of "final consumption expenditure" as defined in the System of Health Accounts (SHA) and in National Account and, as a consequence, also between the underlying economic transactions as recorded in the two accounting frameworks.
In National Accounts there are two types of statistical units: institutional units and local kind-of-activity units (KAU). A local KAU groups all the parts of an institutional unit in its capacity as producer which are located in a single site. A local KAU belongs to one and only one institutional unit.
SHA uses the same two types of units for data compilation.
Local KAUs operating as providers of healthcare goods and services to resident units are statistical units in SHA.
Also transactions by institutional units are recorded in SHA, in which framework institutional units are also referred to as "financing agents". More precisely, SHA financing agents are institutional units that manage one or more financing schemes. The transactions are executed by the financing agents, according to the rules of the financing schemes.
Financing agents serve as key statistical units in producing national health accounts. While financing schemes are the key units for analysing how the consumption of health care goods and services is financed, the data concerning the relevant transactions are collected either from the financing agents that operate the different financing schemes or from the providers.
The concept of "healthcare financing schemes" in SHA is an application and extension of the concept of "social protection schemes" defined by the European System of Social PROtection Statistics (ESSPROS): "a distinct body of rules, supported by one or more institutional units, governing the provision of social protection benefits and their financing ...". The social protection scheme is the statistical unit in ESSPROS. It is an analytical unit that allows describing the complete structure of the social protection financing system: expenditure and receipts.
According to SHA Manual 2011, "the key concepts for describing the structure of the health care financing system are based on measuring: (a) the expenditure of health care financing schemes, under which goods and services are purchased directly from health care providers, on the one hand, and (b) the types of revenues of health care financing schemes, on the other hand.
Commission Regulation (EU) 2021/1901 and (prior Commission Regulation (EU) 2015/359) limits its scope to the collection of data on the expenditure of health care financing schemes.
SHA focuses on the consumption of health care goods and services by the resident population irrespective of where this takes place. This implies the inclusion of imports (from non-resident providers) and the exclusion of exports (health care goods and services provided to non-residents).
The data aims at providing a complete overview of expenditure on health care goods and services consumption of services and goods by the resident population on the national territory of a country.
Health care expenditure data are annual data, corresponding to the calendar year.
This quality report covers the following reference years: 2018, 2019, 2020, 2021, 2022.
The sources to compile the data on health care expenditure are mainly administrative and register-based data, only a small percentage of the figures come from surveys or other means. Accordingly, for the health care expenditure data collection, accuracy deals with problems of coverage as the main possible source of errors.
Current expenditure data are presented according to following units:
expenditure amount in millions of euro
expenditure amount in millions of national currency
expenditure amount in millions of PPS
percentage of GDP
amount in euro per capita
amount in national currency per capita
amount in PPS per capita
percentage of current health expenditure (CHE)
SHA data is compiled using both a bottom-up approach and a top-down approach, depending on the funding source. Compilation is done by financing schemes and by different healthcare functions/task areas. The results of the various calculations are then aggregated.
To differentiate between the different SHA dimensions (especially HC and HP), quotas, pro-rating, and utilization keys are applied to some spending items. For some spending items, it is necessary to extrapolate or interpolate data when there is no up-to-date data available or when data is missing for certain years. For other spending items, estimation methods must be applied. In some instances, data is apportioned between cost centers or departments based on available information within the particular institutions.
Several methods are commonly used for estimations:
Balancing item/Residual method: For example, if data is available from the financing side, which allows for accurate estimation of the flows to a provider or function, an acceptable estimation method is to subtract these expenditure flows from the total revenues and derive the expenditure flows from the unmeasured financing scheme as a residual.
Pro-rating/Utilization key: Typically, in the absence of direct spending data, a utilization key linked to the proportion of resources used can be constructed to distribute, for example, aggregate provider spending across functions. For each key, a fraction of total utilization 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 utilization keys include 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.
Other methods: Additional estimation methods may also be applied as needed.
SHA variable(s)
Main method
Brief description of methodology
No specific variable mentioned
No specific method mentioned
There were no entities within our Ministry that reported the application of any estimation methods.
HC X HP
No specific method mentioned
To determine the apportionment of HC into its various components, the percentage distribution of expenditure according to activities in the main private hospital in Malta (which constitutes 98% of private hospitals' activity) was used for apportionment. Apportionment of HP categories into Out of Pocket and Voluntary Health Insurance used the distribution of Health Expenditure as reported by the National Health Accounts.
Data compilation for private healthcare expenditure:
HCxHF: Data is provided by the National Health Accounts to determine the respective apportionments for out-of-pocket expenditure and voluntary healthcare insurance expenditure.
HCxHP: The total private health expenditure information is obtained from data on private hospitals according to the NACE categories. The sub-components are calculated based on information provided by private hospitals on bed days and type of expenditure.
HPxFP: The apportionment is based on ratios obtained from expenditure patterns within the public hospital sector for the various FP components.
Several data sources are used:
Surveys/census: 1.
Public administrative records: 0.
Financial reports: 2.
Other: 0.
Surveys/Censuses
Source name
Brief description of source
Primary SHA variable(s) using this data source
Time period covered by this data source
Timeliness (Number of months after the end of the accounting period)
Frequency
Processing
National Statistics Office
Sources of data used include the Household Budgetary Survey which looks at Household consumption expenditure and Economic Activity Statistics.
A top-down approach was taken to estimate SHA in the private sector. Health-related activities expenditure derived from the National Statistics Office was apportioned according to the various SHA categories.
2014-2016
1 year
Annual
Financial Reports
Source name
Brief description of source
Primary SHA variable(s) using this data source
Time period covered by this data source
Timeliness (Number of months after the end of the accounting period)
Frequency
Processing
Departmental Accounting System reports / Audited Financial Statements
The Department Accounting System is the accounting system used by the Government of Malta. Data was used from this system, adjusted for accruals issues. Particular entities have separate stand-alone accounting systems and consequently operate more independently from the central government. In this case, they have to prepare audited financial reports, which were also used for SHA compilation.
The data used for the compilation of the SHA was based on internal management accounts and also audited financial statements of the individual Hospital, Entities & Departments of our Ministry for Health.
2014-2016
3 months / 12 months
Annual
Annual
Member States were required to transmit their data to Eurostat in compliance with the Commission Regulation (EU) 2015/359 transmission deadlines, until reference year 2020. As of reference year 2021, data are transmitted pursuant to Commission Regulation (EU) 2021/1901. Data and reference metadata for the reference year T should be transmitted to Eurostat by 30 April T+2.
Not applicable.
Comparison previous SHA submission possible Figures in line with previous available data.
