Impact of a social network-based intervention promoting diabetes self-management in socioeconomically deprived patients: a qualitative evaluation of the intervention strategies Article Swipe
YOU?
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· 2016
· Open Access
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· DOI: https://doi.org/10.1136/bmjopen-2015-010254
Objective There is a need for effective interventions that improve diabetes self-management (DSM) among socioeconomically deprived patients with type 2 diabetes. The group-based intervention Powerful Together with Diabetes (PTWD) aimed to increase social support for DSM and decrease social influences hindering DSM (eg, peer pressure, social norms) in patients living in deprived neighbourhoods. Through a qualitative process evaluation, this paper aims to study whether this intervention changed social support and social influences, and which elements of the intervention contributed to this. Methods The intervention group (IG) was compared with a standard group-based educational intervention (control group, CG). 27 qualitative in-depth interviews with participants (multiethnic sample) and 24 interviews with group leaders were conducted. Interviews were coded and analysed using MAXQDA according to framework analysis. Results Patients in the IG experienced more emotional support from group members and more instrumental and appraisal support from relatives than those in the CG. Also, they were better able to recognise and cope with influences that hinder their DSM, exhibited more positive norms towards DSM and increased their priority regarding DSM and their adherence. Finally, the engagement in DSM by relatives of participants increased. Creating trust between group members, skills training, practising together and actively involving relatives through action plans contributed to these changes. Conclusions A group-based intervention aimed at creating trust, practising together and involving relatives has the potential to increase social support and diminish social influences hindering DSM in socioeconomically deprived patients with diabetes. Promising elements of the intervention were skills training and providing feedback using role-playing exercises in group sessions with patients, as well as the involvement of patients' significant others in self-management tasks, and actively involving them in making an action plan for self-management. These positive results justify the value of further evaluating the effectiveness of this intervention in a larger sample. Trial registration number NTR1886, Results.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1136/bmjopen-2015-010254
- https://bmjopen.bmj.com/content/bmjopen/6/4/e010254.full.pdf
- OA Status
- gold
- Cited By
- 30
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2338106175
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2338106175Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1136/bmjopen-2015-010254Digital Object Identifier
- Title
-
Impact of a social network-based intervention promoting diabetes self-management in socioeconomically deprived patients: a qualitative evaluation of the intervention strategiesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2016Year of publication
- Publication date
-
2016-04-01Full publication date if available
- Authors
-
Charlotte Vissenberg, Karien Stronks, Giel Nijpels, Paul J.M. Uitewaal, Barend JC Middelkoop, Mirjam J. E. Kohinor, Marieke A. Hartman, Vera NierkensList of authors in order
- Landing page
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https://doi.org/10.1136/bmjopen-2015-010254Publisher landing page
- PDF URL
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https://bmjopen.bmj.com/content/bmjopen/6/4/e010254.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://bmjopen.bmj.com/content/bmjopen/6/4/e010254.full.pdfDirect OA link when available
- Concepts
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Medicine, Intervention (counseling), Qualitative research, Diabetes mellitus, Self-management, Gerontology, Family medicine, Alternative medicine, Nursing, Endocrinology, Social science, Machine learning, Pathology, Computer science, SociologyTop concepts (fields/topics) attached by OpenAlex
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30Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 3, 2022: 1, 2021: 7, 2020: 1Per-year citation counts (last 5 years)
- References (count)
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29Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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