Implementing Exercise = Medicine in routine clinical care; needs for an online tool and key decisions for implementation of Exercise = Medicine within two Dutch academic hospitals

Abstract Background There is much evidence to implement physical activity interventions for medical reasons in healthcare settings. However, the prescription of physical activity as a treatment, referring to as ‘Exercise is Medicine’ (E = M) is currently mostly absent in routine hospital care in The Netherlands. To support E = M prescription by clinicians in hospitals, this study aimed: (1) to develop an E = M-tool for physical activity advice and referrals to facilitate the E = M prescription in hospital settings; and (2) to provide an E = M decision guide on key decisions for implementation... Mehr ...

Verfasser: Bouma, Adrie
van Nassau, Femke
Nauta, Joske
Krops, Leonie
van der Ploeg, Hidde
Verhagen, Evert
van der Woude, Lucas
van Keeken, Helco
Dekker, Rienk
van Mechelen, Willem
de Groot, Vincent
van der Leeden, Marike
Zwerver, Johannes
Fluit, Martin
van den Akker-Scheek, Inge
Stevens, Martin
Diercks, Ronald
Bossers, Willem
Buffart, Laurien
de Jong, Johan
Kampshoff, Caroline
Leutscher, Hans
van Twillert, Sacha
Dokumenttyp: Artikel
Erscheinungsdatum: 2022
Reihe/Periodikum: BMC Medical Informatics and Decision Making ; volume 22, issue 1 ; ISSN 1472-6947
Verlag/Hrsg.: Springer Science and Business Media LLC
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-29050393
Datenquelle: BASE; Originalkatalog
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Link(s) : http://dx.doi.org/10.1186/s12911-022-01993-5

Abstract Background There is much evidence to implement physical activity interventions for medical reasons in healthcare settings. However, the prescription of physical activity as a treatment, referring to as ‘Exercise is Medicine’ (E = M) is currently mostly absent in routine hospital care in The Netherlands. To support E = M prescription by clinicians in hospitals, this study aimed: (1) to develop an E = M-tool for physical activity advice and referrals to facilitate the E = M prescription in hospital settings; and (2) to provide an E = M decision guide on key decisions for implementation to prepare for E = M prescription in hospital care. Methods A mixed method design was used employing a questionnaire and face-to-face interviews with clinicians, lifestyle coaches and hospital managers, a patient panel and stakeholders to assess the needs regarding an E = M-tool and key decisions for implementation of E = M. Based on the needs assessment, a digital E = M-tool was developed. The key decisions informed the development of an E = M decision guide. Results An online supportive tool for E = M was developed for two academic hospitals. Based on the needs assessment, linked to the different patients’ electronic medical records and tailored to the two local settings (University Medical Center Groningen, Amsterdam University Medical Centers). The E = M-tool existed of a tool algorithm, including patient characteristics assessed with a digital questionnaire (age, gender, PA, BMI, medical diagnosis, motivation to change physical activity and preference to discuss physical activity with their doctor) set against norm values. The digital E = M-tool provided an individual E = M-prescription for patients and referral options to local PA interventions in- and outside the hospital. An E = M decision guide was developed to support the implementation of E = M prescription in hospital care. Conclusions This study provided insight into E = M-tool development and the E = M decision-making to support E = M prescription and ...