Suchergebnisse

The Robert Koch Institute (RKI) regularly conducts nationally representative cross-sectional studies (KiGGS, DEGS and GEDA) as part of the nationwide health monitoring system. In addition to these health surveys, data is collected in telephone interviews either on specific thematic fields (such as diabetes) or specific groups (such as medical staff) that were not or only insufficiently covered by the larger health surveys. As they are flexible and fast, ad hoc surveys conducted via telephone interviews can respond to specific epidemiological and health political questions. This article describes the procedures applied in ad hoc telephone interview surveys, which were newly introduced as a standardised method in 2017 and are applied by the Laboratory for Health Surveys at the RKI. The article presents the stages of project management such as concept development, establishment of a concept for data protection, questionnaire development, pre-test and field phase, calculation of weighting factors and provision of the final data set. The aim is to describe the process and shed light on the standardised procedures, the reported quality indicators and the breadth of possible scenarios of application. ; Peer Reviewed

In der Studie Gesundheit in Deutschland aktuell (GEDA 2019/2020-EHIS) beantworteten 23.001 Menschen im Alter ab 15 Jahren zwischen April 2019 und September 2020 Fragen zur Gesundheit und zur Lebenssituation. Die Ergebnisse sind repräsentativ für die in Deutschland lebende Wohnbevölkerung ab 15 Jahren. Die Responserate lag bei 21,6 %. Die Fragebogeninhalte basieren auf der dritten Welle der Europäischen Gesundheitsbefragung (European Health Interview Survey, EHIS), die in allen EU-Mitgliedstaaten durchgeführt wurde. Sie umfasst die vier Module Gesundheitszustand, Gesundheitsversorgung, Gesundheitsdeterminanten und sozioökonomische Variablen. Die harmonisiert erhobenen EHIS-Daten besitzen ein hohes Maß an internationaler Vergleichbarkeit. Sie stellen eine wichtige Informationsgrundlage für die europäische Gesundheitspolitik und -berichterstattung dar und werden vom Statistischen Amt der Europäischen Union (Eurostat) zur Verfügung gestellt. Die Daten sind Grundlage für die Gesundheitsberichterstattung des Bundes. Der Zeitraum der Datenerhebung ab April 2019 berücksichtigte knapp ein Jahr vor der SARS-CoV-2-Pandemie und fiel dann ab März 2020 in die Anfangsphase der Pandemie. Somit stehen mit der aktuellen GEDA-Welle Daten für die Erforschung von gesundheitlichen Auswirkungen im zeitlichen Zusammenhang mit der SARS-CoV-2-Pandemie zur Verfügung.

Between April 2019 and September 2020, 23,001 people aged 15 or over responded to questions about their health and living conditions for the German Health Update (GEDA 2019/2020-EHIS). The results are representative of the German resident population aged 15 or above. The response rate was 21.6%. The study used a questionnaire based on the third wave of the European Health Interview Survey (EHIS), which was carried out in all EU member states. EHIS consists of four modules on health status, health care provision, health determinants, and socioeconomic variables. The data are collected in a harmonised manner and therefore have a high degree of international comparability. They constitute an important source of information for European health policy and health reporting and are made available by the Statistical Office of the European Union (Eurostat). They also form the basis of the Federal Health Reporting undertaken in Germany. Data collection began in April 2019, just under a year before the beginning of the SARS-CoV-2 pandemic, and continued into its initial phase, as of March 2020. As such, data from the current GEDA wave can also be used to conduct research into the health impact of the SARS-CoV-2 pandemic.

Between April 2019 and September 2020, 23,001 people aged 15 or over responded to questions about their health and living conditions for the German Health Update (GEDA 2019/2020-EHIS). The results are representative of the German resident population aged 15 or above. The response rate was 21.6%. The study used a questionnaire based on the third wave of the European Health Interview Survey (EHIS), which was carried out in all EU member states. EHIS consists of four modules on health status, health care provision, health determinants, and socioeconomic variables. The data are collected in a harmonised manner and therefore have a high degree of international comparability. They constitute an important source of information for European health policy and health reporting and are made available by the Statistical Office of the European Union (Eurostat). They also form the basis of the Federal Health Reporting undertaken in Germany. Data collection began in April 2019, just under a year before the beginning of the SARS-CoV-2 pandemic, and continued into its initial phase, as of March 2020. As such, data from the current GEDA wave can also be used to conduct research into the health impact of the SARS-CoV-2 pandemic.

In der Studie Gesundheit in Deutschland aktuell (GEDA 2019/2020-EHIS) beantworteten 23.001 Menschen im Alter ab 15 Jahren zwischen April 2019 und September 2020 Fragen zur Gesundheit und zur Lebenssituation. Die Ergebnisse sind repräsentativ für die in Deutschland lebende Wohnbevölkerung ab 15 Jahren. Die Responserate lag bei 21,6 %. Die Fragebogeninhalte basieren auf der dritten Welle der Europäischen Gesundheitsbefragung (European Health Interview Survey, EHIS), die in allen EU-Mitgliedstaaten durchgeführt wurde. Sie umfasst die vier Module Gesundheitszustand, Gesundheitsversorgung, Gesundheitsdeterminanten und sozioökonomische Variablen. Die harmonisiert erhobenen EHIS-Daten besitzen ein hohes Maß an internationaler Vergleichbarkeit. Sie stellen eine wichtige Informationsgrundlage für die europäische Gesundheitspolitik und -berichterstattung dar und werden vom Statistischen Amt der Europäischen Union (Eurostat) zur Verfügung gestellt. Die Daten sind Grundlage für die Gesundheitsberichterstattung des Bundes. Der Zeitraum der Datenerhebung ab April 2019 berücksichtigte knapp ein Jahr vor der SARS-CoV-2-Pandemie und fiel dann ab März 2020 in die Anfangsphase der Pandemie. Somit stehen mit der aktuellen GEDA-Welle Daten für die Erforschung von gesundheitlichen Auswirkungen im zeitlichen Zusammenhang mit der SARS-CoV-2-Pandemie zur Verfügung.

Nursing home residents (NHRs) are systematically excluded from the target populations of most population-based health surveys, which may
result in biased prevalence estimates. Researchers who wish to include NHRs in surveys face several challenges including difficulty sampling and
contacting NHRs and greater levels of functional impairments impeding participation.
A population-wide, register-based, random sample of 8,000 older individuals (57.1% women, mean age=76.2 years) in six primary sampling units
(PSUs) in Germany was used to analyse NHR coverage. The contact and response rates among NHRs were compared to those among persons
living in private households in two PSUs (N=2,000) by applying an informed sequential mixed-mode design. All persons received a health
questionnaire by mail, and random subgroups of initial non-respondents were further contacted by telephone or personal visits.
The population-wide, register-based, random sample included a substantial proportion of NHRs that nearly approximated the national rate of 4.2%
NHRs among individuals ≥65 years. Never-theless, undercoverage of a specific subgroup of NHRs was apparent. The contact and re-sponse
rates were significantly lower among NHRs than persons in private households (contact: 49.0% vs. 72.9%; response: 20.0% vs. 45.9%).
Therefore, it remains questionable if NHRs can be included in regular national health monitoring programmes.

Existing health survey data of individuals who are 65+ years of age is limited due to the exclusion of the oldest old and physically or
cognitively impaired individuals. This study aimed to assess the effects of a sequential mixed-mode design on (1) contact and response
rates, (2) sample composition and (3) non-response bias. A register-based random sample of 2,000 individuals 65+ years was initially
contacted by mail to answer a health questionnaire. Random subgroups of initial non-responders were further contacted by telephone or
home visits. Participation by interview or proxy was possible. After postal contact only, the initial contact and response rates were 51.7%
and 37.8%, respectively. The contact and response rates increased to 71.1% and 44.6%, respectively, after all contact steps. A different
sample composition regarding sociodemographic (i.e., older individuals) and health characteristics (i.e., worse self-rated health, more
functional impairments) was achieved by the inclusion of those late participants. Ill health was the second most frequent reason for nonparticipation.
Personal contact modes are important to increase contact and response rates in population-based health studies and to
include hard-to-reach groups such as the oldest or physically impaired individuals. However, non-response bias still occurred.