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      Impact of a social network-based intervention promoting diabetes self-management in socioeconomically deprived patients: a qualitative evaluation of the intervention strategies

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          Abstract

          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.

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          Most cited references18

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          The influence of social support on chronic illness self-management: a review and directions for research.

          A review of the empirical literature examining the relationship between social support and chronic illness self-management identified 29 articles, of which 22 were quantitative and 7 were qualitative. The majority of research in this area concerns diabetes self-management, with a few studies examining asthma, heart disease, and epilepsy management. Taken together, these studies provide evidence for a modest positive relationship between social support and chronic illness self-management, especially for diabetes. Dietary behavior appears to be particularly susceptible to social influences. In addition, social network members have potentially important negative influences on self-management There is a need to elucidate the underlying mechanisms by which support influences self-management and to examine whether this relationship varies by illness, type of support, and behavior. There is also a need to understand how the social environment may influence self-management in ways other than the provision of social support
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            Diabetes prevalence and socioeconomic status: a population based study showing increased prevalence of type 2 diabetes mellitus in deprived areas.

            To establish the relation between socioeconomic status and the age-sex specific prevalence of type 1 and type 2 diabetes mellitus. The hypothesis was that prevalence of type 2 diabetes would be inversely related to socioeconomic status but there would be no association with the prevalence of type 1 diabetes and socioeconomic status. Middlesbrough and East Cleveland, United Kingdom, district population 287,157. 4313 persons with diabetes identified from primary care and hospital records. The overall age adjusted prevalence was 15.60 per 1000 population. There was a significant trend between the prevalence of type 2 diabetes and quintile of deprivation score in men and women (chi 2 for linear trend, p < 0.001). In men the prevalence in the least deprived quintile was 13.4 per 1000 (95% confidence intervals (95% CI) 11.44, 15.36) compared with 17.22 per 1000 (95% CI 15.51, 18.92) in the most deprived. For women the prevalence was 10.84 per 1000 (95% CI 9.00, 12.69) compared with 15.48 per 1000 (95% CI 13.84, 17.11) in the most deprived. The increased prevalence of diabetes in the most deprived areas was accounted for by increased prevalence of type 2 diabetes in the age band 40-69 years. There was no association between the prevalence of type 1 diabetes and socioeconomic status. These data confirm an inverse association between socioeconomic status and the prevalence of type 2 diabetes in the middle years of life. This finding suggests that exposure to factors that are implicated in the causation of diabetes is more common in deprived areas.
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              A systematic review of interventions to improve diabetes care in socially disadvantaged populations.

              To identify and synthesize evidence about the effectiveness of patient, provider, and health system interventions to improve diabetes care among socially disadvantaged populations. Studies that were included targeted interventions toward socially disadvantaged adults with type 1 or type 2 diabetes; were conducted in industrialized countries; were measured outcomes of self-management, provider management, or clinical outcomes; and were randomized controlled trials, controlled trials, or before-and-after studies with a contemporaneous control group. Seven databases were searched for articles published in any language between January 1986 and December 2004. Twenty-six intervention features were identified and analyzed in terms of their association with successful or unsuccessful interventions. Eleven of 17 studies that met inclusion criteria had positive results. Features that appeared to have the most consistent positive effects included cultural tailoring of the intervention, community educators or lay people leading the intervention, one-on-one interventions with individualized assessment and reassessment, incorporating treatment algorithms, focusing on behavior-related tasks, providing feedback, and high-intensity interventions (>10 contact times) delivered over a long duration (>or=6 months). Interventions that were consistently associated with the largest negative outcomes included those that used mainly didactic teaching or that focused only on diabetes knowledge. This systematic review provides evidence for the effectiveness of interventions to improve diabetes care among socially disadvantaged populations and identifies key intervention features that may predict success. These types of interventions would require additional resources for needs assessment, leader training, community and family outreach, and follow-up.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2016
                13 April 2016
                : 6
                : 4
                : e010254
                Affiliations
                [1 ]Department of Public Health, Academic Medical Center, University of Amsterdam , Amsterdam, The Netherlands
                [2 ]Department of General Practice, EMGO Institute VU University Medical Center , Amsterdam, The Netherlands
                [3 ]Department of Public Health, The Hague's Public Health Department , The Hague, The Netherlands
                [4 ]Department of Public Health, Leiden University Medical Center , Leiden, The Netherlands
                Author notes
                [Correspondence to ] Dr Charlotte Vissenberg; c.vissenberg@ 123456amc.uva.nl
                Article
                bmjopen-2015-010254
                10.1136/bmjopen-2015-010254
                4838721
                27075842
                3fedfb7b-6eb1-4902-8d21-500a8be57096
                Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

                This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

                History
                : 13 October 2015
                : 22 January 2016
                : 25 January 2016
                Funding
                Funded by: ZonMw, http://dx.doi.org/10.13039/501100001826;
                Award ID: 76500003
                Categories
                Public Health
                Research
                1506
                1724
                1843
                1694
                1722
                1725

                Medicine
                diabetes,social support,social influence,diabetes self-management,social network,social environment

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