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Predicting Factors Affecting Glucose Monitoring Treatment Satisfaction and Drug Attitude Inventory (Adherence) Among Patients with Type 2 Diabetes Mellitus; Cross-sectional Observational Study

机译:Predicting Factors Affecting Glucose Monitoring Treatment Satisfaction and Drug Attitude Inventory (Adherence) Among Patients with Type 2 Diabetes Mellitus; Cross-sectional Observational Study

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摘要

Objectives: The study aimed to explore the predictors affecting patient satisfaction to glucosemonitoring system (GMSS) and drug attitude inventory (DAI) / treatment adherence among type 2 diabetesmellitus patients.Methods: Cross-sectional observational study design was used to conduct this study. Subjectiveassessments were made by questionnaires and objective data was collected from the patients' medicationprofiles registered to diabetic clinics. Patients were recruited from five different public hospitals ofHyderabad region, India. A total of 430 patients completed for analysis. The predictors to GMSS dimensionsand adherence status were analyzed with Wilks's lambda effect and multivariate generalizedlinear model (GLM/MANOVA).Results: Study population consisted of 64.4 males and 35.6 females, age mean ± SD (43.3±11.42)years, majority of the study of participants were in between 40-60 years of age (53.3). Majority ofparticipants were considered healthy on BMI scale (67.2), in contrast 234 (54.4) reported highglycemic index with Hb1Ac (> 7.5). Descriptive distribution pattern showed 241 (56.1) participantswere moderately satisfied with the current monitoring system. However, 157 (36.5) reported poor satisfactionto GMSS scale score. Findings showed that low mean score of openness and worthwhilenessare reported among nonadherent participants. Behavioral burden significantly high among nonadherentpatients then adherents. However, emotional burden showed no effect on treatment adherence.Conclusion: This study found high rates of poor glucose monitoring system satisfaction along withlow-to-poor treatment adherence among T2DM patients. Individual characteristics and clinical parameterssignificantly and positively predict the variance of GMSS and DAI among patients' with T2DM.

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