USING LATENT CLASS ANALYSIS TO ANALYZE HETEROGENEITY IN BARRIERS AND FACILITATORS FOR DIABETES SELF-MANAGEMENT AMONG PATIENTS WITH TYPE II DIABETES

Author(s)

Zhou M, Bandeen-Roche K, Bridges JF
Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA

OBJECTIVES: The aim of this study is to analyze heterogeneity in barriers and facilitators for diabetes self-management among patients with type II diabetes. METHODS: A nationally representative survey was conducted among patients with type II diabetes in the US. 11 factors were selected through robust mixed-methods and represented both known barriers and facilitators of patients’ diabetes management. Respondents were asked to evaluate the impact of each factor on their diabetes self-management on a five-point LIkert scale ranging from “strong negative” to “strong positive”. We examined the overall rating distribution for each factor and analyzed heterogeneity using latent class analysis (LCA). Sociodemographics, health status, and personality variables were included in the model to identify class characteristics. RESULTS:

Conference/Value in Health Info

2017-05, ISPOR 2017, Boston, MA, USA

Value in Health, Vol. 20, No. 5 (May 2017)

Code

PDB65

Topic

Patient-Centered Research

Topic Subcategory

Stated Preference & Patient Satisfaction

Disease

Diabetes/Endocrine/Metabolic Disorders

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