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1000 Titel
  • Public attitudes towards personal health data sharing in long-term epidemiological research: a Citizen Science approach in the KORA study
1000 Autor/in
  1. Rückert-Eheberg, Ina-Maria |
  2. Heier, Margit |
  3. Simon, Markus |
  4. Kraus, Monika |
  5. Peters, Annette |
  6. Linkohr, Birgit |
1000 Verlag BioMed Central
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-08-26
1000 Erschienen in
1000 Quellenangabe
  • 24(1):2317
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12889-024-19730-0 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11348671/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>Loss to follow-up in long-term epidemiological studies is well-known and often substantial. Consequently, there is a risk of bias to the results. The motivation to take part in an epidemiological study can change over time, but the ways to minimize loss to follow-up are not well studied. The Citizen Science approach offers researchers to engage in direct discussions with study participants and to integrate their opinions and requirements into cohort management.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>Guided group discussions were conducted with study participants from the KORA cohort in the Augsburg Region in Germany, established 40 years ago, as well as a group of independently selected citizens. The aim was to look at the relevant aspects of health studies with a focus on long-term participation. A two-sided questionnaire was developed subsequently in a co-creation process and presented to 500 KORA participants and 2,400 employees of the research facility Helmholtz Munich.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>The discussions revealed that altruistic motivations, (i.e. supporting research and public health), personal benefits (i.e. a health check-up during a study examination), data protection, and information about research results in layman’s terms were crucial to ensure interest and long-term study participation. The results of the questionnaire confirmed these aspects and showed that exclusively digital information channels may be an obstacle for older and less educated people. Thus, paper-based media such as newsletters are still important.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusions</jats:title> <jats:p>The findings shed light on cohort management and long-term engagement with study participants. A long-term health study needs to benefit public and individual health; the institution needs to be trustworthy; and the results and their impact need to be disseminated in widely understandable terms and by the right means of communication back to the participants.</jats:p> </jats:sec>
1000 Sacherschließung
lokal Citizen Science [MeSH]
lokal Surveys and Questionnaires [MeSH]
lokal Female [MeSH]
lokal Public engagement
lokal Aged [MeSH]
lokal Adult [MeSH]
lokal Epidemiological cohort management
lokal Humans [MeSH]
lokal Public Opinion [MeSH]
lokal Epidemiologic Studies [MeSH]
lokal Participatory research
lokal Co-creation
lokal Middle Aged [MeSH]
lokal Citizen science
lokal Cohort Studies [MeSH]
lokal Information Dissemination/methods [MeSH]
lokal Male [MeSH]
lokal Research
lokal Germany [MeSH]
lokal Health Records, Personal [MeSH]
lokal Health data sharing
lokal Motivation [MeSH]
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/UsO8Y2tlcnQtRWhlYmVyZywgSW5hLU1hcmlh|https://frl.publisso.de/adhoc/uri/SGVpZXIsIE1hcmdpdA==|https://frl.publisso.de/adhoc/uri/U2ltb24sIE1hcmt1cw==|https://frl.publisso.de/adhoc/uri/S3JhdXMsIE1vbmlrYQ==|https://frl.publisso.de/adhoc/uri/UGV0ZXJzLCBBbm5ldHRl|https://frl.publisso.de/adhoc/uri/TGlua29ociwgQmlyZ2l0
1000 Hinweis
  • DeepGreen-ID: a07ee49bd56b44b29027f86fe186deab ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH) |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH) |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 Erstellt am 2025-02-06T15:03:24.826+0100
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