Evidence map›Paper›PMID 36352439›Full record

ArticleBMC health services research2022

Socio-economic determinants of attendance at diabetes self-management education program: using Andersen's behavioral model.

Javad Javan-Noughabi, Seyed Saeed Tabatabaee, Sajad Vahedi, Tahere Sharifi

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Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 citing papers in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Javad Javan-NoughabiSocial Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID http://orcid.org/0000-0001-7809-1377
Seyed Saeed TabatabaeeSocial Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Sajad VahediDepartment of Health Care Management, School of Public Health, Ahvaz Jundishapour University of Medical Sciences, Ahvaz, Iran.
Tahere SharifiSocial Determinants of Health Research Center, Institute for Future Studies in Health, Kerman University of Medical Sciences, Kerman, Iran. sharifit@razi.tums.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes self-management education is an effective factor for improving outcomes and quality of life in patients with diabetes. However, little information is available on the factors associated with participation or non-participation in self-management education programs in people with diabetes. The aim of this study was to explore the factors affecting on the attendance of patients with diabetes in the diabetes self-management education program.

methodsA cross-sectional study was conducted in 2019 on 384 patients with diabetes referred to the main comprehensive health centers of Mashhad, Iran. All patients were linked with a diabetes self-management education program that lasted three months and involved 12 sessions. We explore the factors affecting on attending in diabetes self-management education program using Andersen's behavioral model. Data for independent variables (predisposing, enabling, and need factors) were gathered at the beginning of the training program using registration forms. Dependent variable (attendance of patients with diabetes in the training program) was checked at the end of the program. Univariate and multivariate analysis were done with SPSS v.25.

resultsThe results of this study showed that women were less likely to participate in the self-management education program than men (OR=0.414; P<0.05). Also, age, travel time, health status and years with diabetes have negative significantly correlated with participation in the education program (P<0.05). The study showed that patients with diabetes aged≥65 were less participated in the training program than those ≤40 (OR=0.159; P<0.05). Also, patients who lived farther than 40 min away from training center were less likely to participate for this program than patients that live in an area<20 min away from training center (OR=0.196; P<0.05). Odds of attending in training program for patients with poor health status was less than patients with excellent health status (OR=0.282; P<0.05). Participation in training program were low in patients with more than 5-year diabetes duration compared to less than 1 year (OR=0.176; P<0.05).

conclusionThe implementation of the classes at the right time and online, Reduce the distance between people and the place of the class, providing facilities and providing infrastructure may be appropriate to involve women and the elderly.

Indexed as

Diabetes MellitusSelf-ManagementAgedCross-Sectional StudiesEducational StatusFemaleHumansIranMalePatient Acceptance of Health CarePatient Education as TopicQuality of LifeDiabetes MellitusPatient Acceptance of Health CareSocioeconomic Factors

Identifiers

PMID36352439
PMCPMC9644561

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.