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      What impact do chronic disease self-management support interventions have on health inequity gaps related to socioeconomic status: a systematic review

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          Abstract

          Background

          The social gradient in chronic disease (CD) is well-documented, and the ability to effectively self-manage is crucial to reducing morbidity and mortality from CD. This systematic review aimed to assess the moderating effect of socioeconomic status on self-management support (SMS) interventions in relation to participation, retention and post-intervention outcomes.

          Methods

          Six databases were searched for studies of any design published until December 2018. Eligible studies reported on outcomes from SMS interventions for adults with chronic disease, where socioeconomic status was recorded and a between-groups comparison on SES was made. Possible outcomes were participation rates, retention rates and clinical or behavioural post-intervention results.

          Results

          Nineteen studies were retrieved, including five studies on participation, five on attrition and nine studies reporting on outcomes following SMS intervention. All participation studies reported reduced engagement in low SES cohorts. Studies assessing retention and post-intervention outcomes had variable results, related to the diversity of interventions. A reduction in health disparity was seen in longer interventions that were individually tailored. Most studies did not provide a theoretical justification for the intervention being investigated, although four studies referred to Bandura’s concept of self-efficacy.

          Conclusions

          The limited research suggests that socioeconomic status does moderate the efficacy of SMS interventions, such that without careful tailoring and direct targeting of barriers to self-management, SMS may exacerbate the social gradient in chronic disease outcomes. Screening for patient disadvantage or workload, rather than simply recording SES, may increase the chances of tailored interventions being directed to those most likely to benefit from them. Future interventions for low SES populations should consider focussing more on treatment burden and patient capacity.

          Trial registration

          PROSPERO registration CRD42019124760. Registration date 17/4/19.

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          Most cited references58

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          Self-management education: History, definition, outcomes, and mechanisms

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            Is a subgroup effect believable? Updating criteria to evaluate the credibility of subgroup analyses.

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              A consumer's guide to subgroup analyses.

              The extent to which a clinician should believe and act on the results of subgroup analyses of data from randomized trials or meta-analyses is controversial. Guidelines are provided in this paper for making these decisions. The strength of inference regarding a proposed difference in treatment effect among subgroups is dependent on the magnitude of the difference, the statistical significance of the difference, whether the hypothesis preceded or followed the analysis, whether the subgroup analysis was one of a small number of hypotheses tested, whether the difference was suggested by comparisons within or between studies, the consistency of the difference, and the existence of indirect evidence that supports the difference. Application of these guidelines will assist clinicians in making decisions regarding whether to base a treatment decision on overall results or on the results of a subgroup analysis.
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                Author and article information

                Contributors
                r.hardman@latrobe.edu.au
                s.begg@latrobe.edu.au
                e.spelten@latrobe.edu.au
                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central (London )
                1472-6963
                27 February 2020
                27 February 2020
                2020
                : 20
                : 150
                Affiliations
                [1 ]ISNI 0000 0001 2342 0938, GRID grid.1018.8, La Trobe University Rural Health School, ; 471 Benetook Avenue, Mildura, Victoria 3500 Australia
                [2 ]Sunraysia Community Health Services, 137 Thirteenth Street, Mildura, Victoria 3500 Australia
                [3 ]ISNI 0000 0001 2342 0938, GRID grid.1018.8, La Trobe Rural Health School, , La Trobe University, ; PO Box 199, Bendigo, Victoria 3552 Australia
                Author information
                http://orcid.org/0000-0001-8306-6264
                Article
                5010
                10.1186/s12913-020-5010-4
                7045733
                32106889
                65f5b11a-68d3-4827-b0c8-fd1c5e9251e6
                © The Author(s). 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 24 August 2019
                : 19 February 2020
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Health & Social care
                self-management,socioeconomic status,health inequity,patient capacity,chronic disease

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