Commission Implementing Regulation (EU) 2023/2529 of 17 November 2023 specifying the technical items of the data set, establishing the technical formats for transmission of information and specifying the detailed arrangements and content of the quality reports on the organisation of a sample survey in the health domain pursuant to Regulation (EU) 2019/1700 of the European Parliament and of the Council

Type Implementing Regulation
Publication 2023-11-20
State In force
Text As published
Department European Commission, ESTAT
Source EUR-Lex
articles 11

This is the act as published. Later amendments are not folded into the text below: each one is a separate act in this repository and an entry in this law's history.

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ANNEX III

NATIONAL TERRITORIES THAT ARE EXCLUDED FROM THE SAMPLE

Country National territories
France French Overseas Departments and Territories
Cyprus The non-government-controlled area
Netherlands Caribbean Islands (Bonaire, St. Eustatius and Saba)
Ireland All offshore islands with the exception of Achill, Bull, Cruit, Gorumna, Inishnee, Lettermore, Lettermullan and Valentia

ANNEX IV

VARIABLES FOR WHICH PROXY ANSWERS ARE NOT TO BE USED BY EUROSTAT FOR INDICATORS COMPUTATION

HS1 Self-perceived general health
CD2 Self-perceived general oral health
PN1 Intensity of bodily pain during the past 4 weeks
PN2 Extent that pain interfered with normal work during the past 4 weeks (including both work outside the home and housework)
MH1A Extent of having little interest or pleasure in doing things over the last 2 weeks
MH1B Extent of feeling down, depressed or hopeless over the last 2 weeks
MH1C Extent of having trouble falling or staying asleep, or sleeping too much over the last 2 weeks
MH1D Extent of feeling tired or having little energy over the last 2 weeks
MH1E Extent of having poor appetite or overeating over the last 2 weeks
MH1F Extent of subject feeling negative about themselves, or feeling that they are a failure or have let themselves or their family down, over the last 2 weeks
MH1G Extent of having trouble concentrating on things, such as reading the newspaper or watching television, over the last 2 weeks
MH1H Extent of moving or speaking so slowly that other people may have noticed; or being so fidgety or restless that they have been moving around a lot more than usual, over the last 2 weeks
MH2A Feeling cheerful and in good spirits over the last 2 weeks
MH2B Feeling calm and relaxed over the last 2 weeks
MH2C Feeling active and vigorous over the last 2 weeks
MH2D Waking up feeling fresh and rested over the last 2 weeks
MH2E Feeling that daily life has been filled with things that interest over the last 2 weeks
PA1 Last time of vaccination against flu
PA2 Last time of blood pressure measurement by a health professional
PA3 Last time of blood cholesterol measurement by a health professional
PA4 Last time of blood sugar measurement by a health professional
PA5 Last time of a faecal occult blood test
PA6 Last time of a colonoscopy
PA7 Last time of a mammography (breast X-ray)
PA8 Last time of a cervical smear test
UN1A Unmet need for healthcare in the past 12 months due to long waiting list(s)
UN2A Unmet need for mental healthcare
UN2B Main reason for unmet need for mental healthcare
PE1 Physical effort of working tasks (both paid and unpaid work activities included)
PE2 Number of days in a typical week walking to get to and from places at least 10 minutes continuously
PE3 Time spent on walking to get to and from places on a typical day
PE4 Number of days in a typical week bicycling to get to and from places at least 10 minutes continuously
PE5 Time spent on bicycling to get to and from places on a typical day
PE6 Number of days in a typical week doing sports, fitness or recreational (leisure) physical activities that cause at least a small increase in breathing or heart rate for at least 10 minutes continuously
PE7 Time spent on doing sports, fitness or recreational (leisure) physical activities in a typical week
PE8 Number of days in a typical week doing muscle-strengthening activities
PE9 Time spent sitting on a typical day
DH1 Frequency of eating fruit, excluding juice
DH2 Number of portions of fruit a day, excluding juice
DH3 Frequency of eating vegetables or salad, excluding juice and potatoes
DH4 Number of portions of vegetables or salad, excluding juice and potatoes a day
DH5 Frequency of drinking pure fruit or vegetable juice
DH6 Frequency of drinking sugar-sweetened soft drinks
DH7 Frequency of eating red meat
DH8 Frequency of eating processed meat products
SK5 Frequency of exposure to tobacco smoke indoors
AL1 Frequency of consumption of an alcoholic drink of any kind (beer, wine, cider, spirits, cocktails, premixes, liqueurs, homemade alcohol…) in the past 12 months
AL2 Frequency of consumption of an alcoholic drink from Monday to Thursday
AL3 Number of alcoholic (standard) drinks on average on one of the days from Monday to Thursday
AL4 Frequency of consumption of an alcoholic drink from Friday to Sunday
AL5 Number of alcoholic (standard) drinks on average on one of the days from Friday to Sunday
AL6 Frequency of risky single-occasion drinking (equivalent of 60 g of pure ethanol or more) during the past 12 months
SS1 Number of close people to count on in case of serious personal problems
SS2 Degree of concern shown by other people in what the respondent is doing
SS3 How easy is it to get practical help from neighbours in case of need
IC12 Prevailing relationship of the person(s) suffering from any chronic condition or infirmity or due to old age being provided with care or assistance at least once a week from the respondent
IC3 Number of hours per week the respondent provides care or assistance to the person(s) suffering from any chronic condition or infirmity or due to old age

ANNEX V

KEY VARIABLES FOR WHICH METHODS OF STATISTICAL IMPUTATION ARE TO BE APPLIED WHEN NON-RESPONSE EXCEEDS 5 %

MAINSTAT Main activity status (self-defined)
HATLEVEL Educational attainment level (highest level of education successfully completed)
HHINCOME Net current monthly household income
HS3 Limitation in activities because of health problems

ANNEX VI

DETAILED ARRANGEMENTS AND CONTENT OF QUALITY REPORTS

METADATA UPDATE

The date on which the metadata element was inserted or modified in the database.

STATISTICAL PRESENTATION

(1) Data description

Title of the survey at national level, year of the survey, link to the survey website.

(2) Classification systems

The version of the classification used in the data, and any deviations from European statistical standards or international standards.

(3) Statistical concepts and definitions

List of concepts and variables, including answer categories, that deviate from the standard definitions, mentioning the national concepts used and any differences between the national concepts and the respective standard definitions.

UNIT OF MEASURE

The unit in which the data values are measured.

REFERENCE PERIOD

The period of time to which the measured observation is intended to refer.

INSTITUTIONAL MANDATE

Law, set of rules or other formal set of instructions assigning an organisation responsibility and authority for collecting, processing, and disseminating statistics.

RELEASE POLICY

Rules for disseminating statistical data to all interested parties.

FREQUENCY OF DISSEMINATION

The time interval at which the statistics are disseminated over a given time period.

STATISTICAL PROCESSING

(1) Source data

Description of the data source used for building the sampling frame (for example population register, dwelling register, population census and another survey), frequency of update and year of last update of the data source, and method used for obtaining or creating the sampling frame. Where another survey has been used as a data source, the name of the survey is indicated.

Regarding sample design:

  • — methods for sample design (for example, simple random sampling; systematic sampling; stratified sampling; cluster sampling, multiple stage sampling, combination of designs). If Member States use stratified sampling, the stratification and sub-stratification criteria are reported. If Member States use multiple stage sampling, the different stages and the corresponding probabilities (equal, unequal, proportional to size) are described. If Member States use a combination of designs, the designs used are described;
  • — sample size.

(2) Data collection

Description of methods used to conduct the interview including PAPI, CATI, CAPI, CASI, CAWI 13, mixed mode, and/or other sources such as registers and other surveys. The variables collected based on other sources are listed.

(3) Data compilation

Each step of weighting is described separately: design weights; weight adjustments for non-response, weight adjustments applied to external data sources such as calibration techniques used and level and variables used for the adjustment, any other weight adjustments for example trimming, top (bottom)-coding of the weight distribution to adjust for outliers, final weights.

Where imputation is used, any imputed variables are listed, the imputation procedure used is described and the reasons for imputation are explained. The number of imputed values as a percentage of the total number of observations is reported.

ACCURACY AND RELIABILITY

(1) Sampling error

Precision requirements are expressed in standard errors for the indicator set out in the third paragraph below, point (c).

Countries describe the methodology for calculating the precision estimates.

For the following indicators, the number of respondents (unweighted), the estimated proportion (weighted), the standard errors, the 95 % confidence interval (lower and upper limit), and the design effect (if applicable/available) are reported at national level:

  • (a) respondents aged 15 years and over in good or very good health (based on variable HS1);
  • (b) respondents aged 15 years and over with long-standing illness or health problem (based on variable HS2);
  • (c) respondents aged 15 years and over who were severely limited in activities people usually do because of health problems for at least the past 6 months (based on variable HS3);
  • (d) respondents aged 15 years and over having been hospitalised in the past 12 months (based on variable HO12);
  • (e) respondents aged 18 years and over who are obese (based on variable BM1 and BM2).

(2) Non-sampling error

(a) Measurement error

The different sources of measurement errors likely to be found in the survey are described and include:

  • — description and testing of the questionnaire;
  • — description of interview training, for example number of training days, skills testing before starting the fieldwork (rate of success, etc.));
  • — information on studies to check the impact of the interviewer, such as re-interviews, record check studies, or split-sample experiments (if available), and results from models (if available).

(b) Non-response error

Unit non-response

  • — Member States compute, total and for each mode of data collection, non-response rates.
  • — For those Member States where controlled substitutions are made in case of unit non-response, non-response rates are calculated before and after substitution.
  • — Breakdowns of non-respondents by characteristics and reasons for non-response as far as available.
  • — Description of any measures taken to correct for non-response.
  • — If controlled substitutions are applied in cases of unit non-response pursuant to Article 6, substitution rates are provided as well as a description of the method of selection of substitutes, main characteristics of substituted units compared to the original units, distribution of substituted (original) units by number of attempts for contact, interview acceptance, and questionnaire result.
  • — Number of units successfully contacted before and after substitution.
  • — Number of responding units before and after substitution.
  • — Gross sample size, number of eligible and ineligible units, net sample size, including substitution units (achieved sample size) needs to be provided.

Item non-response

For the health variables listed in the metadata template under this topic, the following information is provided:

  • — the percentage of persons with a valid answer (excluding missing values) for each variable;
  • — the percentage of persons with missing values (unweighted and before imputation) for each variable.

(c) Processing error

Information to be provided about any errors in processing and their impact on the final data collection results arising from faulty implementation of correctly planned implementation methods. An account is given of the main errors detected in the post-data-collection process.

Description of the quality checks such as data entry controls and coding controls and the data editing process.

Imputation procedures are described. Information to be provided on the imputation rate calculated as the share of observations imputed (for each variable) out of the total number of observations.

DATA REVISION

(1) Data revision – policy

Information is provided about any policy designed to ensure the transparency of disseminated data, whereby the preliminary data compiled are subsequently revised. Revision of data is reported.

(2) Data revision – practice

Schedule for revisions.

Main reasons for revisions and their nature such as new source data available and new methods.

Impact of revisions on indicators.

13

PAPI – Traditional paper-and-pencil personal interview; CATI – telephone interview; CAPI – computer-assisted personal interview; CASI – self-completed computer-based interview; CAWI – computer assisted web interview.

ELI: http://data.europa.eu/eli/reg_impl/2023/2529/oj

ISSN 1977-0677 (electronic edition)

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