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A systematic review of reach, adoption, implementation and maintenance of Internet-based interventions to prevent eating disorders in adults
Author(s) -
Barbara Nacke,
Michael D. Zeiler,
Stefanie Kuso,
Lisa M. Klesges,
Corinna Jacobi,
Karin Waldherr
Publication year - 2021
Publication title -
european journal of public health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.056
H-Index - 91
eISSN - 1464-360X
pISSN - 1101-1262
DOI - 10.1093/eurpub/ckab044
Subject(s) - representativeness heuristic , psychological intervention , psycinfo , external validity , context (archaeology) , the internet , internal validity , psychology , systematic review , applied psychology , inclusion (mineral) , medline , medicine , computer science , psychiatry , social psychology , world wide web , political science , paleontology , pathology , law , biology
Background There is a growing body of research and evidence for the efficacy of Internet-based eating disorder (ED) prevention interventions for adults. However, much less is known about the reach, adoption, implementation and maintenance of these interventions. The RE-AIM (reach, efficacy/effectiveness, adoption, implementation, maintenance) model provides a framework to systematically assess this information. Methods A literature search was conducted in PubMed, Web of Science and PsycINFO for articles published between 2000 and 2019. Additionally, reference lists of the studies included and existing reviews published until the end of 2020 were searched. Sixty original articles describing 54 individual studies fulfilled inclusion criteria. Data were extracted for a total of 43 RE-AIM indicators for each study. Fostering and hindering factors for reach, adoption, implementation and maintenance were assessed qualitatively. Results Overall reporting rates were best for the RE-AIM dimensions reach (62.6%), implementation (57.0%) and effectiveness (54.2%), while adoption (24.2%) and maintenance (21.5%) had comparatively low overall reporting rates. Reporting on indicators of internal validity, such as sample size, effects or description of interventions was better than indicators relevant for dissemination and implementation in real-world settings, e.g. characteristics of non-participants, characteristics and representativeness of settings, and data to estimate cost. Conclusions Because most Internet-based ED prevention interventions are provided in a research-funded context, little is known about their public health impact. Better reporting of factors determining external validity is needed to inform dissemination and implementation of these interventions.

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