METHODS: This was a cross sectional study involving 197 T2DM patients on insulin from two government primary health clinics in Gombak. Physician-patient interaction satisfaction was assessed using Skala Kepuasan Interaksi Perubatan (SKIP-11) consisting of 3 subdomains (Distress Relief, Rapport and Interaction Outcome). Medication adherence level was measured using a single item selfreport question. Data analysis for descriptive, inferential and multivariate analysis statistics were performed.
RESULTS: The mean age of the study participants was 57.12 (SD: 9.27). Majority were Malay, female, unemployed with mean BMI of 27.5. Majority reported full adherence (62.9%). High scores in the Interaction Outcome subdomain was associated with better adherence. Factors associated with high scores in this subdomain included patient education level, number of oral hypoglycaemic agent and type of insulin regime taken. This study also found that high scores in the Interaction Outcome domain is associated with lower HbA1c (p<0.05).
CONCLUSION: Physician-patient interaction satisfaction is an important factor in achieving better medication adherence which also leads to better glycaemic control in this group of patients. There is a need to identify strategies to improve satisfaction in this domain to improve patient adherence.
MATERIALS AND METHODS: A multicentre prospective cohort study was conducted among employees from 2 different public universities in Malaysia. Interventions include at least 2 sessions of behavioural therapy combined with free nicotine replacement therapy (NRT) for 8 weeks. Participants were followed up for 6 months. Independent variables assessed were on sociodemographic and environmental tobacco smoke. Their quit status were determined at 1 week, 3 months and 6 months.
RESULTS: One hundred and eighty- five smokers volunteered to participate. Among the participants, 15% and 13% sustained quit at 3 months and 6 months respectively. Multivariate analysis revealed that at 6 months, attending all 3 behavioural sessions predicted success. None of the environmental tobacco exposure variables were predictive of sustained cessation.
CONCLUSION: Individual predictors of success in intra-workplace smoking cessation programmes do not differ from the conventional clinic-based smoking cessation. Furthermore, environmental tobacco exposure in low intensity smoke-free workplaces has limited influence on smokers who succeeded in maintaining 6 months quitting.
MATERIALS AND METHODS: The development of the prognostic model utilized prospectively collected longitudinal data of adult TB patients who smoked in the state of Selangor between 2013 until 2017, which were obtained from the Malaysian Tuberculosis Information System (MyTB) database. Data were randomly split into development and internal validation cohorts. A simple prognostic score (T-BACCO SCORE) was constructed based on the regression coefficients of predictors in the final logistic model of the development cohort. Estimated missing data was 2.8% from the development cohort and was completely at random. Model discrimination was determined using c-statistics (AUCs), and calibration was based on the Hosmer and Lemeshow goodness of fit test and calibration plot.
RESULTS: The model highlights several variables with different T-BACCO SCORE values as predictors for LTFU among TB patients who smoke (e.g., age group, ethnicity, locality, nationality, educational level, monthly income level, employment status, TB case category, TB detection methods, X-ray categories, HIV status, and sputum status). The prognostic scores were categorized into three groups that predict the risk for LTFU: low-risk (<15 points), medium-risk (15 to 25 points) and high-risk (> 25 points). The model exhibited fair discrimination with a c-statistic of 0.681 (95% CI 0.627-0.710) and good calibration with a nonsignificant chi-square Hosmer‒Lemeshow's goodness of fit test χ2 = 4.893 and accompanying p value of 0.769.
CONCLUSION: Predicting LTFU among TB patients who smoke in the early phase of TB treatment is achievable using this simple T-BACCO SCORE. The applicability of the tool in clinical settings helps health care professionals manage TB smokers based on their risk scores. Further external validation should be carried out prior to use.