RESULTS: There were 55.7% females, median age was 58.2 years and median duration of diabetes was 13 years. The majority (79.4%) of patients had poor diabetes control (HbA1c ≥ 7.0%) and 39.6% of patients had low medication adherence. Patients with good glycaemic control had a higher Timeline Acute/Chronic and Emotional Representations score, hence they held the correct belief that diabetes is chronic and experienced negative emotions. Highly adherent patients had a higher Illness Coherence (χ2 = 21.385, p
METHODS: A two-phase mixed-methods approach was used. Phase 1 involved qualitative interviews with hypertensive patients from two health clinics in Kuala Lumpur, Malaysia. The themes extracted from these interviews were used to generate items for the MAANS. In Phase 2, data from 213 participants were analysed using exploratory factor analysis (EFA) to establish the scale's factor structure, thereby created the modified version of the MAANS. Confirmatory factor analysis (CFA) was then conducted on a separate dataset of 205 participants to confirm the factor structure, resulted in the final version of the MAANS. The reliability of the final MAANS version was assessed using Cronbach's alpha coefficient. The MAANS scores were used to predict subscales of the Malay version of the WHO Quality-of-Life (QOL) BREF, demonstrating the scale's predictive validity.
RESULTS: Ten qualitative interviews yielded 73 items. The EFA produced a modified MAANS with 21 items grouped into five factors. However, the CFA retained three factors in the final scale: Perceived Non-Susceptibility, Poor Doctor-Patient Relationship, and Unhealthy Lifestyle. The final 14-item, 3-factor MAANS demonstrated moderate reliability (Cronbach's alpha coefficient = 0.64) and exhibited partial predictive validity, with the Poor Doctor-Patient Relationship and Unhealthy Lifestyle subscales significantly predicting Social QOL and Environmental QOL.
CONCLUSION: The MAANS is a reliable, valid, and multidimensional scale specifically developed to evaluate non-adherence to anti-hypertensive medications in local clinical settings with the potential to further the advancement of research and practice in sociomedical and preventive medicine.
METHOD: A cross-sectional survey was conducted at a tertiary care center in Malaysia from February 2019 to June 2019. Parents of children with epilepsy who were on AED for at least 3 months and aged ≤18 years old were recruited. Medication self-management was assessed using a validated Pediatric Epilepsy Medication Self-Management Questionnaire (PEMSQ). A higher total score reflects better medication self-management.
RESULTS: A total of 166 patients were recruited. The mean ± standard deviation (SD) age of patients was 8.20 ± 5.21 years, and 51.8% and 36.7% of patients have generalized seizure and focal seizure, respectively. The mean ± SD PEMSQ score was 116.2 ± 11.28 from a total score of 135. Among the four domains of PEMSQ, the barriers to treatment contributed to the lowest mean scores. Univariate analysis showed that the following were significantly associated with poorer medication self-management: differences in ethnicity, religion; higher number of medications; presence of comorbidities; inability to swallow tablets; and a more complex AED regimen. Other variables were not significant. Multivariate analysis showed that only ethnicity and presence of comorbidity remained independently significant (R2 = 0.14; F [4, 161] = 6.28; p
AIMS OF STUDY: This study aimed to assess university students' knowledge and beliefs about and their use of antibiotics.
METHODS: This cross-sectional study was conducted among 674 medical and non-medical students of the National Defence University of Malaysia, using universal and convenience sampling methods. The data was collected using a validated questionnaire and analyzed using IBM SPSS 24, and the MANOVA test and Logistic Regression were used to explore the associated factors.
RESULTS: More than half of the respondents' knowledge was low and their health beliefs outdated. Age, race and program were significantly associated with up-to-date knowledge and beliefs about antibiotic use, factors associated with finishing a course of antibiotics were studying medicine, personal health, and ethnicity. The significant factors associated with antibiotic self-prescribing were beliefs having been prescribed antibiotics during the last one year, and trusting the doctors who did not prescribe antibiotics.
CONCLUSION: This study has identified a concerning low knowledge about antibiotics amongst some Malaysian university students, reflected in use of un-prescribed antibiotics and a lack of adherence to treatment. There is a need for educational interventions for students regarding antibiotic usage and resistance issues.
OBJECTIVE: To create a comprehensive conceptual model of behavioural change related to T2D medication compliance.
METHODS: A cross-sectional study will be conducted at a regional primary care clinic using a mixed-method technique. First, a Grounded Theory qualitative inquiry will be used to investigate predictors of medication adherence in T2D patients. Consequently, the elements derived from the interview will be incorporated into the Theory of Planned Behaviour framework to generate an integrated behavioural model. This model will then be used to quantify the factors related to compliance with medication amongst T2D patients.
DISCUSSION: The framework developed here could help in the design of policies to optimize T2D control by identifying lapses in patients' intake of diabetic medications. This can be done by exploring the patients' fundamental and unarticulated belief system via a naturalistic approach adopted in this study. The properties of the framework can be replicated in other settings to serve as a benchmark for quality improvement in T2D patient care.
Methods: A cross-sectional study was conducted for three months, in patients with type 2 diabetes who visited three community pharmacies located in Khobar, Saudi Arabia. Patients' disease knowledge and their adherence to medications were documented using Arabic versions of the Michigan Diabetes Knowledge Test and the General Medication Adherence Scale respectively. Data were analyzed through SPSS version 23. Chi-square test was used to report association of demographics with adherence. Spearman's rank correlation was employed to report the relationship among HbA1c values, disease knowledge and adherence. Logistic regression model was utilized to report the determinants of medication adherence and their corresponding adjusted odds ratio. Study was approved by concerned ethical committee (IRB-UGS-2019-05-001).
Results: A total of 318 patients consented to participate in the study. Mean HbA1c value was 8.1%. A third of patients (N = 105, 33%) had high adherence and half of patients (N = 162, 50.9%) had disease knowledge between 51% - 75%. A significantly weak-to-moderate and positive correlation (ρ = 0.221, p < 0.01) between medication adherence and disease knowledge was reported. Patients with >50% correct answers in the diabetes knowledge test questionnaire were more likely to be adherent to their medications (AOR 4.46, p < 0.01).
Conclusion: Disease knowledge in most patients was average and half of patients had high-to-good adherence. Patients with better knowledge were 4 to 5 times more likely to have high adherence. This highlights the importance of patient education and awareness regarding medication adherence in managing diabetes.