scholarly journals Quality of Life and Associated Factors among Primary Care Asian Patients with Type 2 Diabetes Mellitus

2019 ◽  
Vol 16 (19) ◽  
pp. 3561 ◽  
Author(s):  
Hardesh Dhillon ◽  
Rusli Bin Nordin ◽  
Amutha Ramadas
Keyword(s):  
Quality Of Life ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Primary Care ◽  
Type 2 Diabetes Mellitus ◽  
Medication Adherence ◽  
Well Being ◽  
Care Clinic

Diabetes complications, medication adherence, and psychosocial well-being have been associated with quality of life (QOL) among several Western and Asian populations with diabetes, however, there is little evidence substantiating these relationships among Malaysia’s unique and diverse population. Therefore, a cross-sectional study was conducted in a Malaysian public primary care clinic among 150 patients diagnosed with type 2 diabetes mellitus (T2DM). Structured and validated questionnaires were used to investigate the associations between demographic, clinical, and psychological factors with QOL of the study participants. Approximately three-quarters of patients had a good-excellent QOL. Diabetes-related variables that were significantly associated with poor QOL scores included insulin containing treatment regimens, poor glycemic control, inactive lifestyle, retinopathy, neuropathy, abnormal psychosocial well-being, higher diabetes complication severity, and nonadherence (p < 0.05). The main predictors of a good-excellent QOL were HbA1c ≤ 6.5% (aOR = 20.78, 95% CI = 2.5175.9, p = 0.005), normal anxiety levels (aOR = 5.73, 95% CI = 1.8–18.5, p = 0.004), medication adherence (aOR = 3.35, 95% CI = 1.3–8.7, p = 0.012), and an aDCSI score of one and two as compared to those greater than or equal to four (aOR = 7.78, 95% CI = 1.5–39.2, p = 0.013 and aOR = 8.23, 95% CI = 2.1–32.8, p = 0.003), respectively. Medication adherence has also been found to be an effect modifier of relationships between HbA1c, depression, anxiety, disease severity, and QOL. These predictors of QOL are important factors to consider when managing patients with T2DM.

scholarly journals The Association Between Health Literacy and Quality of Life and Its Associated Factors Among Adults with Type 2 Diabetes Mellitus in Public Primary Care Clinic

2020 ◽  
Vol 5 (1) ◽  
pp. 60
Author(s):  
Nur Amirah Shibraumalisi ◽  
Nafiza Mat Nasir ◽  
Mazapuspavina Md Yasin ◽  
Mohamad Rodi Isa
Keyword(s):  
Quality Of Life ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Primary Care ◽  
Type 2 Diabetes Mellitus ◽  
Health Literacy ◽  
Care Clinic ◽  
The Mean

Introduction: Low health literacy (HL) is one of the contributing factors that leads to negative diabetic outcome. Quality of life (QOL) is a state of complete physical, mental and social wellbeing. There is limited evidence on association of HL and QOL among type 2 diabetes mellitus (T2DM), therefore the objectives of this study were to identify the HL and QOL status, to determine the association between HL and QOL and factors associated with QOL among T2DM patients. Methods: This was a cross sectional study involving patients with T2DM from two public primary care clinics. HL and QOL were measured using translated and validatedHLS – Asia Q16 and DQoL-BCI questionnaires respectively among T2DM patients. Results: The mean HL score was 12.39 (3.34), 17.7 % had “inadequate HL”, 25.7% had “problematic HL” and 56.6% had “sufficient HL”. The mean DQoL-BCI score was 32.09 (6.51). Lower QOL level was negatively associated with age (b -0.140; CI: -0.190, - 0.090; p<0.001), not obese (b -1.476; CI: -2.605, - 0.347; p<0.011), and HL level (b -0.425; CI: -0.59, - 0.259; p<0.001). Lower QOL level was positively associated with uncontrolled glycaemic status (HbA1c >6.5%)(b 1.308; CI: -0.042, 2.659; p<0.058), treatment with insulin (b 4.163; CI:1.538, 6.788; p<0.002) and combination treatment of insulin and oral hypoglycaemic agents (OHA) (b 2.450; CI:1.145, 3.756; p<0.001). Conclusions: This study demonstrated that age, body mass index, HL, glycaemic control, treatment with OHA and insulin were significantly associated with QOL. This suggest the importance of identifying high risk patients with poor QOL for targeted intervention.

scholarly journals Assessment of medication adherence and quality of life among patients with type 2 diabetes mellitus in a tertiary hospital in Kelantan, Malaysia

2021 ◽  
Vol 1 (2) ◽  
pp. 79-86
Author(s):  
Nazmi Liana Azmi ◽  
Nurul Aida Md Rosly ◽  
Hock Chun Tang ◽  
Anis Fariha Che Darof ◽  
Nor Dini Zuki
Keyword(s):  
Quality Of Life ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Medication Adherence ◽  
Life Questionnaire ◽  
Adherence To Medication ◽  
The Mean

Introduction: Previous studies have reported the relationship between medication adherence and quality of life are interrelated. However, many of the results were found to be conflicting. This study aimed to assess the level and association of medication adherence and quality of life among type 2 diabetes mellitus patients in Raja Perempuan Zainab II Hospital, Kelantan, Malaysia. Materials and methods: A cross-sectional survey was conducted among adult type 2 diabetes mellitus patients on treatment for over 1 year using convenience sampling at outpatient.  Medication Compliance Questionnaire (MCQ) and revised Diabetes Quality of Life Questionnaire (DQOL) instrument were self-administered to eligible subjects. Data were analysed using GNU PSPP version 0.8.5 and reported for descriptive statistics as well as correlation of both parameters. Results: A total of 200 patients were recruited and they were mostly at the age of 40 to 60 years old. The mean (SD) score for MCQ was 26.0 (1.6) with the majority of them were non-adherent (55.0%, n=110). The mean (SD) score for overall revised DQOL instrument was 25.5 (8.9) while each domain of “satisfaction”, “impact” and “worry” had mean (SD) scores of 12.0 (5.0), 7.7 (3.4) and 5.9 (2.7), respectively. The scores obtained were only approximately half of the possible range of scores for QoL. There was no significant correlation between total score of medication adherence and quality of life when tested using Pearson’s correlation (r=-0.083, p=0.240). Independent t-test also demonstrated no significant relationship between medication adherence status and quality of life (p=0.883). Conclusion: Type 2 diabetes mellitus patients in our setting had unsatisfactory adherence but exhibited acceptable quality of life. We observed that both variables were not associated with one another. Further research is warranted to identify potential factors affecting non-adherence to medication.

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