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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | Statistics Lithuania |
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1.2. Contact organisation unit | Social Protection, Health, Education and Culture statistics division |
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1.5. Contact mail address | Restricted from publication |
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2.1. Data description | |||
Health care expenditure quantifies the economic resources dedicated to health functions, excluding capital investment. Healthcare expenditure concerns itself primarily with healthcare goods and services that are consumed by resident units, irrespective of where that consumption takes place (it may be in the rest of the world) or who is paying for it. As such, exports of healthcare goods and services (to non-resident units) are excluded, whereas imports of healthcare goods and services for final use are included. 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). |
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2.2. Classification system | |||
Healthcare expenditure is recorded in relation to the international classification for health accounts (ICHA) defining:
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2.3. Coverage - sector | |||
1. Household individual consumption on health, including the collective consumption with two exceptions: |
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2.4. Statistical concepts and definitions | |||
SHA concept is the consumption of health care goods and services. Summary tables provide data on:
Cross-classification tables refer to:
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2.5. Statistical unit | |||
Commission Regulation 2015/359 concerns the collection of data on "current expenditure on healthcare" which is defined as the "final consumption expenditure of resident units on health care goods and services". |
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2.6. Statistical population | |||
SHA focuses on the consumption of health care goods and services by the resident population irrespective of where this takes place. This implies the inclusion of imports (from non-resident providers) and the exclusion of exports (health care goods and services provided to non-residents). |
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2.7. Reference area | |||
The data aims at providing a complete overview of expenditure on health care goods and services consumption of services and goods by the resident population on the national territory of a country. |
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2.8. Coverage - Time | |||
Data according to the SHA 2011 for the years 2007–2016 are available. |
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2.9. Base period | |||
Not applicable. |
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3.1. Source data | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Several data sources are used (as of data notification in March 2018): - Surveys/census: 4 - Public administrative records: 5 - Financial reports: 3 - Other: 1
Surveys/censuses
Public administrative records
Financial reports
Other
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3.2. Frequency of data collection | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Annual. |
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3.3. Data collection | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data are collected through the joint health accounts questionnaire (JHAQ) that countries submit to Eurostat during the annual data collection exercise. There is a voluntary deadline to send the JHAQ questionnaire for the calendar year T by the 31st of March T+2. The joint health accounts questionnaire (JHAQ) is coordinated in agreement with the World Health Organisation (WHO) and the Organization of Economic Co-operation and Development (OECD). These three international organisations are known collectively as the International Health Accounts Team (IHAT). Countries submit data to Eurostat on the basis of Commission Regulation (EU) 2015/359 of 4 March 2015 implementing Regulation (EC) No 1338/2008 of the European Parliament and of the Council as regards statistics on healthcare expenditure and financing. Data from institutions operating national administrative data sources (National Health Insurance Fund, Institute of Hygiene, etc.) are collected by Statistics Lithuania according to the inter-institutional agreements and provided by e-mail. Primary data from statistical surveys are obtained from corresponding units of Statistics Lithuania according to the schedule of internal data exchange. |
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3.4. Data validation | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In Statistics Lithuania the results of data compilation are compared with the results of the previous year. Outliers are identified and analysed. In case of significant discrepancies, survey or administrative data managers are contacted, and reasons are determined (changes in the legislation, implementation of new services and /or goods, changes in financing, etc.). If inaccuracies are detected, data are corrected.
The 2018 JHAQ includes a number of features which allow national data correspondents to perform various quality checks before submitting the data. The embedded programmes allow the verification of: 1- Consistency of the data between tables, This step checks if the marginal totals reported in each table of the JHAQ are consistent across all tables. For example, for each function (HC), the total across all financing schemes (HF) in the HCxHF table has to be equal to the total across all providers (HP) in the HCxHP table, i.e. the values in the column “All HF” in the HCxHF table have to be equal to the values in the column “All HP” in the HCxHP table. Any detected differences are flagged up in the corresponding row or column in the relevant tables and all inconsistencies are listed in the “Report” worksheet by variable code together with the amount by which the respective variable differs between the two compared tables. A positive value indicates that the first listed table has a higher value for the same variable, and vice versa. 2- Consistency of the data within tables, Any detected inconsistencies are listed by variable code together with an indication of which total is not equal to the sum of its subcomponents as well as the numerical difference. A positive figure indicates that the total is greater than the reported sub-components, and vice versa.
Entries in the tables cannot be negative as they refer to the consumption of goods and services.
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.
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:
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3.5. Data compilation | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SHA data is compiled both by a bottom-up approach as well as by a top-down approach, depending on the data source. Compilation is done by financing schemes and by different health care functions/task areas, and by providers of services/goods. The results of the several calculations are then aggregated. To gain the differentiation between the different SHA-dimensions (especially HC and HP) quotas and pro-rating and utilisation keys are applied on some spending items. For some spending items it is necessary to extra-/intrapolate data as there is no up-to-date data available or data is missing for certain years. For some other spending items, estimation methods have to be applied. Several methods are normally used for estimations:
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3.6. Adjustment | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Not applicable. |
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4.1. Quality assurance | |||
Authorities responsible for SHA data collection are working to ensure that the statistical practices used to compile national health accounts are in compliance with SHA methodological requirements and that good practices in the field are being followed, according to the methodology underlined in the SHA 2011 Manual and European Statistics Code of Practice respecting professional independence of the statistical authorities as well as ESS Quality Assurance Framework. Procedures are in place to plan and monitor the quality of the health care expenditure statistical production process. |
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4.2. Quality management - assessment | |||
In 2007, a quality management system, conforming to the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania. The main trends in activity of Statistics Lithuania aimed at quality management and continuous development in the institution are established in the Quality Policy. Monitoring of the quality indicators of statistical processes and their results and self-evaluation of statistical survey managers is regularly carried out in order to identify the areas which need improvement and to promptly eliminate the shortcomings. |
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5.1. Relevance - User Needs | |||
The main users of statistical information are State and municipal authorities and agencies, the media, research and business communities, students, whose needs are satisfied without a breach of the confidentiality principle. |
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5.2. Relevance - User Satisfaction | |||
From 2005, user opinion surveys have been conducted on a regular basis. Official Statistics Portal traffic is monitored, website visitor opinion polls, general opinion poll on the products and services of Statistics Lithuania, target user group opinion polls and other surveys are conducted. In 2007, the compilation of a user satisfaction index was launched. The said surveys are aimed at the assessment of the overall demand for and necessity of statistical information in general and specific statistical indicators in particular. For more information on user surveys and their results, see section User surveys on the Statistics Lithuania website. |
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5.3. Completeness | |||
Statistics Lithuania transmits the data to Eurostat in compliance with the Commission Regulation 359/2015. |
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5.3.1. Data completeness - rate | |||
100% |
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6.1. Accuracy - overall | |||
Statistics Lithuania doesn't conduct a special survey for the Health Expenditure data; therefore, an accuracy of the results very much depends on the overall quality of data sources used. Primary data from administrative sources and statistical surveys are classified using ICHA codes and aggregated; in some cases estimation methods are applied. The results are analysed taking into account several aspects –changes of legal base developing the health system, changes in structure and scope of services of particular provider, information from different sources about the particular item of accounting. Lacks in accuracy are observed in the fields where appropriate data sources for specific categories are missing or are not comprehensive enough. However, the analysis of new potential sources that could supplement existing data is performed continuously. |
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6.2. Sampling error | |||
Not applicable. |
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6.2.1. Sampling error - indicators | |||
Not applicable. |
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6.3. Non-sampling error | |||
No sample estimates are used. Coverage error is based on the lack of data or insufficient comprehensiveness of it in the available data sources. |
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6.3.1. Coverage error | |||
Coverage error is observed in estimation of pharmaceutical expenditure, because the detailed information on the structure of goods provided by retailers and others providers of medical goods is not available. Some non-medical expenditure is covered in this item. Expenditure on Health care goods and services by non-residents are included in domestic provider revenues, because no relevant data source is available. The underground / informal / illegal health care goods and services in the data collection are also not included due to the lack of the data source. |
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6.3.1.1. Over-coverage - rate | |||
Over-coverage rate of inclusion of services and goods provided to non-residents and non-medical goods provided by retailers is not calculated due to the lack of data sources. |
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6.3.1.2. Common units - proportion | |||
Information on common units from administrative sources and surveys are collected and analysed at the primary level (i. e. data on employment and wages in the particular hospital are obtained form the Compulsory Social insurance fund database, data on compensations for services paid from the Compulsory Health insurance fund budget is obtained from the Compulsory Health Insurance information system; while the data on out-of-pocket payments for services provided - from the Survey of Social and Cultural servicesl, etc.), in preparation of the results one unit is accounted once. |
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6.3.2. Measurement error | |||
Measurement error can be considered to be relatively minor in terms of the volume of health expenditure; it is corrected immediately after the recognition. |
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6.3.3. Non response error | |||
Not applicable. |
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6.3.3.1. Unit non-response - rate | |||
Not applicable. |
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6.3.3.2. Item non-response - rate | |||
Not applicable. |
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6.3.4. Processing error | |||
In order to avoid error in data coding all information form different sources on the particular unit of accounting is collected. |
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6.3.4.1. Imputation - rate | |||
Not applicable. |
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6.3.5. Model assumption error | |||
Not relevant. |
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6.4. Seasonal adjustment | |||
Not applicable. |
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6.5. Data revision - policy | |||
The data of T-2 and estimates of T-1 are always considered as preliminary. Revision is made if any new data are available in the currently used data sources or a new data source is identified. |
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6.6. Data revision - practice | |||
The data of the year 2015 was revised after the analysis of activities and re-coding of providers; the revision mostly affected the item HP.5.2.1. |
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6.6.1. Data revision - average size | |||
The difference between a later and an earlier estimate of the health expenditure for the year 2014 was 0,0%, for 2015 -0,3%, for 2016 0,1%. |
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7.1. Timeliness | |||
Member States are required to transmit their data to Eurostat in compliance with the Commission Regulation 359/2015 transmission deadlines. Statistics Lithuania publishes statistical information on the Official Statistics Portal according to an Official Statistics Calendar, following the Official Statistics Dissemination Policy Guidelines and Statistical Information Preparation and Dissemination Rules. |
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7.1.1. Time lag - first result | |||
A news release on healthcare revenues and expenditure (preliminary) is published by Statistics Lithuania no later than 12 months after the end of the reference period. |
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7.1.2. Time lag - final result | |||
Final result is published no later than 24 months after the reference year. |
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7.2. Punctuality | |||
Statistics Lithuania complies with the Commission Regulation 359/2015 transmission deadlines. |
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7.2.1. Punctuality - delivery and publication | |||
Transmission to Eurostat: 31 March in year t for data on year t-2 that is for 1 month earlier than the deadlines indicated in the Commission Regulation 359/2015. |
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8.1. Comparability - geographical | ||||||||||||||||||
Not applicable at national level. |
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8.1.1. Asymmetry for mirror flow statistics - coefficient | ||||||||||||||||||
Not applicable. |
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8.2. Comparability - over time | ||||||||||||||||||
Data calculated according to the SHA 2011 metohodology are comparable over time. |
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8.2.1. Length of comparable time series | ||||||||||||||||||
Data according to SHA 2011 is available for the years 2008–2016 and comparable over this time frame. |
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8.3. Coherence - cross domain | ||||||||||||||||||
SHA and ESSPROS are based on different underlying concepts regarding health care function as well as covering framework. ESSPROS data covers total expenditure on cash and in-kind benefits for protected persons financing by programmes of government sector. Some cash benefits of ESSPROS in SHA are treated as paid services, some items of intermediate consumption in SHA are attributed to medical goods in ESSPROS. SHA data with some modifications are used for the compilation of benefits in-kind in Sickness/Health function of ESSPROS, as well as for the separation of health component of LTC from social benefits in-kind in social care establishments. However, the full coherence between these different approaches is not feasible.
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8.4. Coherence - sub annual and annual statistics | ||||||||||||||||||
Not applicable. |
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8.5. Coherence - National Accounts | ||||||||||||||||||
Coherence in accounting principles exist. However, as scope differences exist between national accounts in the health classification in COFOG, COICOP, etc. a full coherence in ‘scope’ is as such not applicable. There are also different approaches for data collection and use of data sources: in order to meet a criteria of health care boundaries, SHA is compiled at more detalied level.
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8.6. Coherence - internal | ||||||||||||||||||
Atypical entries:
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9.1. Dissemination format - News release | |||
News release "Health care expenditure" is published on the Official Statistics Portal according to the annual calendar, no later than 12 months after the end of reference year. |
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9.2. Dissemination format - Publications | |||
9.3. Dissemination format - online database | |||
Official Statistics Portal Indicators database - Population and social statistics - Health - Health care - Healthcare revenues and expenditure |
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9.3.1. Data tables - consultations | |||
Information not available. |
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9.4. Dissemination format - microdata access | |||
Not applicable. |
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9.5. Dissemination format - other | |||
Results of SHA data compilation is yearly provided to National Accounts division, sent to the Ministry of Health (comparisons of two years data) as well as to the Institute of Hygiene and the National Health Insurance Fund. |
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9.6. Documentation on methodology | |||
Methodology of health expenditure data compilation (in Lithuanian) is agreed by the Methodological Commision of Statistics Lithuania, approved by the Order of Director General and publicly available on the Official Statistics Portal - Metodikos. Standardized metadata is published in the Indicators Database of the Official Statistics Portal and updated yearly. |
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9.7. Quality management - documentation | |||
A separate Quality report is not prepared. The main information on health expenditure data are provided in the standard metadata file mentioned in point 9.6. |
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9.7.1. Metadata completeness - rate | |||
Metadata is prepared and published according to the requirements applied to all surveys and data compilations conducted by Statistics Lithuania. |
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9.7.2. Metadata - consultations | |||
Information not available. |
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Cost of production of statistical product in Statistics Lithuania for the year 2016 was 23,50 thousand EUR. Information on cost of production and provision of data necessary for SHA data compilation in other institutions are not available. Data collection does not generate additional individual burden to the respondents, because only secondary data sources are used to the fullest extent possible (administrative databases, financial records and data from statistical surveys already conducted for other purposes). |
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11.1. Confidentiality - policy | |||
The Regulation (EC) No 223/2009 on European statistics (recitals 23-27, 31-32 and Articles 20-26) applies. In the process of statistical data collection, processing and analysis and dissemination of statistical information, Statistics Lithuania fully guarantees the confidentiality of the data submitted by respondents (households, enterprises, institutions, organisations and other statistical units), as defined in the Confidentiality Policy Guidelines of Statistics Lithuania. |
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11.2. Confidentiality - data treatment | |||
Description of Statistical Disclosure Control Methods, approved by Order No DĮ-124 of 27 May 2008 of the Director General of Statistics Lithuania. Integrated Statistical Information System Data Security Regulations and Rules for the Secure Management of Electronic Information in the Integrated Statistical Information System, approved by Order No DĮ-42 of 20 February 2015 of the Director General of Statistics Lithuania (only in Lithuanian). |
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No additional comments. |
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