Identifying and Prioritizing the Barriers and Facilitators to the Self-Management of Type 2 Diabetes Mellitus: A Community-Centered Approach

Allison H. Oakes (), Vincent S. Garmo, Lee R. Bone, Daniel R. Longo, Jodi B. Segal and John F. P. Bridges
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Allison H. Oakes: Johns Hopkins Bloomberg School of Public Health
Vincent S. Garmo: Johns Hopkins Bloomberg School of Public Health
Lee R. Bone: Johns Hopkins School of Medicine
Daniel R. Longo: Virginia Commonwealth University
Jodi B. Segal: Johns Hopkins Bloomberg School of Public Health
John F. P. Bridges: Johns Hopkins Bloomberg School of Public Health

The Patient: Patient-Centered Outcomes Research, 2017, vol. 10, issue 6, No 12, 773-783

Abstract: Abstract Objective Self-management of type 2 diabetes mellitus is crucial to controlling the disease and preventing harm. Multiple factors have been identified in the literature as potential barriers and facilitators to self-management, but the magnitude and directionality of these factors are seldom studied. We sought to develop and test an instrument to identify and quantify the barriers and facilitators to self-management of type 2 diabetes. Methods A community-centered approach was used to design, implement, and interpret the results of a stated-preference study. All activities were guided by a diverse stakeholder board. Based on previously reported development work, a novel survey instrument consisting of 13 potential barriers and facilitators was pretested and piloted in our local community. Participants were asked to discuss, rate, and rank each factor. A simple self-explicated method was used to quantify the data and Z scores were used for hypothesis testing. Results In total, 25 patients with self-reported type 2 diabetes (64% female; 92% minorities) participated in the pretest and pilot. Time commitments (Z = −3.72), lack of active support groups (Z = −3.39) and other resources in the local community (Z = −2.96), and language/culture (Z = −2.69) were identified as barriers to self-management. Access to healthy food (Z = +5.68), personal understanding (Z = +4.81), and communication with healthcare providers (Z = +4.62) were identified as facilitators. Conclusion We demonstrate that factors impacting self-management can be quantified and categorized as barriers and facilitators. While further refinement to some factors and investigation into alternative prioritization methods is necessary, our stakeholder board endorsed moving this to a large nationally representative study to see how these factors vary across different people.

Keywords: Strong Positive Effect; Rating Exercise; Family Commitment; Personal Understanding; Ranking Exercise (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s40271-017-0248-6

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