Assigning Responsibility for Depression and Diabetes

Frame Building Factors in Health Coverage

Bibliographic Data

ID21617192
AuthorsAnnemarie Wiedicke (0000-0002-1890-9699, Ludwig-Maximilians-Universität München, corresponding author), Franziska Rattei (University of Erfurt), Doreen Reifegerste (0000-0002-8961-7220, School of Public Health, University of Bielefeld)
Year2024
Volume39
Issue7
Pages1418-1428
Publication date2024-06-06
Open AccessNo
TypeARTICLE
VenueHealth Communication (JOURNAL)
Journal identifiersISSN: 1041-0236 • E-ISSN: 1532-7027
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10410236.2023.2216485
PMID37219397
OpenAlexW4377565510
LanguageEN
Citations received2
References cited80

Although frame building is a crucial part of framing in health communication, it is much less understood than media frames or their effects on audiences (i.e. frame setting). To address this research gap, we analyzed the individual, organizational, and external factors of influence contributing to the media's portrayal of responsibility for two major health issues: depression and diabetes. To identify relevant factors, we conducted 23 semi-structured interviews with German journalists who regularly report on these health issues. Our findings indicate that the way in which media coverage portrays responsibilities in depression and diabetes is affected by a variety of factors. These include individual (journalist role perception, journalistic routines, academic background and personal experiences with depression, diabetes-related knowledge, and personal values and beliefs), organizational (editorial lines, space limits, time limitations and payment, and newsroom structures), and external (health news sources, audience interest, newsworthiness, and social norms) factors. Notably, there are differences between depression and diabetes coverage - especially regarding individual factors - confirming that frame building, similar to framing in general, should be examined with regard to specific issues. Nevertheless, some factors that seem important across different topics could be identified

Diabetes mellitus · Telecommunications · Computer Science · Food Security and Health in Diverse Populations · Global Public Health Policies and Epidemiology · Healthcare Policy and Management · Medicine · Psychology

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