ArticleYonsei medical journal2020
Sociodemographic Factors Associated with Participation in Diabetes Education among Community-Dwelling Adults with Diabetes.
Article in Yonsei medical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 9 citations in OpenAlex.
- Factors associated with attendance at a pharmacist-led group diabetes self-management education class and impact on health outcomes.Exploratory research in clinical and social pharmacy · 2024Article
- Frequency of Follow-Up Attendance and Blood Glucose Monitoring in Type 2 Diabetic Patients at Moderate to High Cardiovascular Risk: A Cross-Sectional Study in Primary Care.International journal of environmental research and public health · 2022Article
- Identifying factors affecting diabetes education program participation within a metro Detroit integrated health system.Preventive medicine reports · 2021Article
- Restrictors of the effectiveness of diabetes self-management education: A qualitative content analysis.Journal of education and health promotion · 2021Article
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Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
purposeThis study investigated the sociodemographic factors associated with participation in diabetes self-management education (DSME) among community-dwelling adults with diabetes. MATERIALS AND
methodsData from 23400 people aged ≥30 years who were diagnosed with diabetes from the nationwide 2016 Korea Community Health Survey were analyzed. The relationship between sociodemographic factors and participation in DSME was examined by logistic regression analysis. The study sample was classified according to the type of institution providing DSME: hospitals/medical clinics (HMCs) and/or public health institutions (PHIs).
resultsOf the total sample population with diabetes, 27.2% had attended DSME programs, including 21.9% at HMCs, 4.0% at PHIs, and 1.3% at both types of institutions. As age increased and educational level and monthly household income decreased, the odds ratios (ORs) of participation in DSME decreased in a fully adjusted model. Respondents living in rural areas had lower ORs for attending DSME compared to those living in urban areas [OR, 0.85; 95% confidence interval (CI), 0.80-0.91]. Service/sales workers and mechanical/manual workers had lower ORs for attending DSME (OR, 0.84; 95% CI, 0.71-0.99; and OR, 0.81; 95% CI, 0.69-0.94, respectively) compared to professional/managerial workers. However, in the subgroup of participants receiving education at PHIs, the likelihood of participation in DSME increased as age increased, and respondents living in rural areas had higher ORs compared to those living in urban areas (OR, 1.73; 95% CI, 1.51-1.98).
conclusionCustomized DSME programs targeting socioeconomically vulnerable groups, including residential region and reimbursement of DSME by public insurance, are needed to resolve the inequalities in participation in DSME.
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