ArticleFamily practice2025
Assessment of self-management questionnaire in diabetes mellitus (ASQ-DM-EX)-the validation of novel lived experience inventory.
Article in Family practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.
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Corrections and comments
- Erratum issued
Authors and funding
10 authors.
Funding
Abstract
backgroundThe optimal control of type 2 diabetes (T2D) is defined by the innate mastery of self-management behaviours. This study is designed to condense the lived experiences of people with T2D in relation to factors 'exterior' to themselves into a universal self-management inventory (Assessment of Self-Management Questionnaire in Diabetes Mellitus-External Reality; ASQ-DM-EX).
methodsWe collected responses to an online and physical survey from people living with T2D through a quantitative cross-sectional study. First, we tested the contextual validity and cultural preciseness of ASQ-DM-EX prototype through a preliminary pilot testing phase. These processes culminated in the development of a 91-item version of the questionnaire which was disseminated widely to evaluate the predictive strength of the ASQ-DM-EX.
resultsAll constructs within ASQ-DM-EX showed internal consistencies within good to excellent range (Cronbach's ⍺ = 0.70-0.94), except for the Influence construct (Cronbach's ⍺ = 0.33). An increase in ASQ-DM-EX scores was associated with a reduction in HbA1c control (r = -0.17, P < 0.05). The ASQ-DM-EX model had excellent goodness-of-fit [root mean square error of approximation < 0.01; comparative fit index = 1.00; Tucker-Lewis index = 1.00].
conclusionThe ASQ-DM-EX is a novel and holistic inventory that broadens the scope of diabetes assessment absent from contemporary self-management tools.
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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.