Dataset Information

Evaluating the Impact of Year-Long, Augmented Diabetes Self-Management Support.

ABSTRACT: This was a randomized controlled study to test a scalable intervention model addressing the need for ongoing diabetes support. The study included individuals receiving care in a Federally Qualified Health Center (FQHC) with HbA1c >8. The aim of this project was to determine whether augmenting diabetes self-management education (DSME) with support for an economically vulnerable population might better meet patient needs and reduce morbidity and premature mortality. The intervention utilized pre and post comparisons and was designed to test the efficacy of a telephonic diabetes support intervention to increase patient engagement in self-care and with the health care system as a means to improve clinical outcomes. There were significant improvements in HbA1c, body mass index, low-density lipoprotein cholesterol, triglycerides, and depression screening scores in the year following DSME. However, there was no statistically significant difference between the 2 groups. This randomized controlled study demonstrated that comprehensive face-to-face care with consistent assessment and documentation over time in FQHCs produce clinically significant and predictable improvement for people with diabetes. The addition of structured provision of telephonic support overlapping in time with the comprehensive face-to-face process of care in this environment did not produce statistically significant clinical or behavioral care improvement.

SUBMITTER: Bluml BM

PROVIDER: S-EPMC6885759 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Evaluating the Impact of Year-Long, Augmented Diabetes Self-Management Support.

Bluml Benjamin M BM Kolb Leslie E LE Lipman Ruth R

Population health management 20190213 6

This was a randomized controlled study to test a scalable intervention model addressing the need for ongoing diabetes support. The study included individuals receiving care in a Federally Qualified Health Center (FQHC) with HbA1c >8. The aim of this project was to determine whether augmenting diabetes self-management education (DSME) with support for an economically vulnerable population might better meet patient needs and reduce morbidity and premature mortality. The intervention utilized pre a ...[more]

PMID: 30668228

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Project description:BackgroundType 2 Diabetes Mellitus (T2DM) is a chronic disease closely related to personal life style. Therefore, achieving effective self-management is one of the most important ways to control it. There is evidence that social support can help to improve the self-management ability of patients with T2DM, but which social support is more effective has been rarely explored. The purpose of this study is to construct an integrated model to analyze which social support has more significant impact on self-management of T2DM, and provide reasonable suggestions to health care providers on how to effectively play the role of social support.MethodsWe established a social support indicator evaluation system and proposed an integrated model that combines ANP (Analytical Network Process) and CRITIC (CRiteria Importance through Intercriteria Correlation) methods to evaluate the impact of social support on T2DM self-management from both subjective and objective perspectives. The weights calculated by the model will serve as the basis for us to judge the importance of different social support indicators.ResultsInformational support (weighting 49.26%) is the most important criteria, followed by tangible support (weighting 39.24%) and emotional support (weighting 11.51%). Among 11 sub-criteria, guidance (weighting 23.05%) and feedback (weighting 14.68%) are two most relevant with T2DM self-management. This result provides ideas and evidence for health care providers on how to offer more effective social support.ConclusionTo our knowledge, this is the first study in which Multi-Criteria Decision Making (MCDM) tools, specifically ANP and CRITIC, are used to evaluate the impact of social support on improving self-management of type 2 diabetes. The study suggests that incorporating two sub-indicators of guidance and feedback into the diabetes care programs may have great potential to improve T2DM self-management and further control patient blood glucose and reduce complications.

Dataset Information

Evaluating the Impact of Year-Long, Augmented Diabetes Self-Management Support.

Publications

Evaluating the Impact of Year-Long, Augmented Diabetes Self-Management Support.

Similar Datasets

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