This study aimed to investigate the attitudes, perceptions, and experiences of side effects with the COVID-19 vaccines in Malaysia among participants in the National Vaccination Program. A cross-sectional survey was conducted among a sample of vaccine-eligible and vaccinated individuals in Malaysia between May and July 2021. A total of 428 respondents completed the survey. A vast majority (98.6%) of the respondents had registered to be vaccinated. Twenty participants (4.7%) expressed concerns about either registering or receiving the COVID-19 vaccination, mainly due to their uncertainty of vaccine safety. Approximately 77.5% received their vaccinations. Of them, 76.8% had experienced vaccine-related side effects. About 40% of the side effects occurred more with the second dose, particularly those who received the Pfizer-BioNTech vaccine (p < 0.0005). Pain at the injection site (61.1%) and tiredness (48.8%) were the most reported side effects. Compared to those aged ≥60 years, all age groups were more likely to exhibit vaccine-related side effects; meanwhile, males (OR: 0.51, 95% CI: 0.27–0.93) were less likely to experience side effects than females. Those who received the Sinovac vaccine were at lower risk of experiencing side effects (OR: 0.08, 95% CI: 0.03–0.22) and were more likely to report fewer side effects than Pfizer-BioNTech (p = 0.012) and Oxford-AstraZeneca groups (p = 0.001). The overall attitudes toward the COVID-19 vaccination program were positive. Several differences in the experiences of vaccine-related side effects, in terms of prevalence and numbers, were attributed to age, gender, and received vaccine type.

Uncontrolled drug pricing in the private healthcare system in Malaysia leads to high drug prices; however, its impact on employee drug utilization and employer reimbursement coverage is unclear. This study examined patterns of drug pricing and drug utilization among employees covered by employer medical insurance. A drug price control mechanism was also devised for the employer to ensure fair benefits to all parties without compromising the quality of patient care. This retrospective study was conducted among International Islamic University Malaysia (IIUM) community members who sought outpatient treatment at the IIUM panel of health clinics serviced by general practitioners from January 2016 to September 2019. Prescription data (drug type, dose, quantity, duration, price, and manufacturer), patient characteristics (age, sex, and diagnosis) and total charges were extracted from the claims database of PMCare, the insurance company managing IIUM medical claims. Patterns of commonly prescribed drugs, drug pricing, profit margins, and total charges per clinic visit were evaluated. Descriptive statistics were used, and all analyses were performed using Stata v15.1. There were a total of 161,146 prescriptions for 10,150 patients in the IIUM community during the study period (48.85% women, mean ± standard deviation; age: 26.33 ± 17.63 years). The most commonly prescribed drug was paracetamol (25.3%), followed by chlorpheniramine (9.46%), cetirizine (7.3%), diphenhydramine (6.13%), loratadine (4.57%), and diclofenac (4.36%). Generic paracetamol (500 mg), which serves as a prime example for details on drug pricing, is commonly charged between Ringgit Malaysia (RM) 5 and 10 for 10 tablets with a profit between 2,400 and 4,900% according to the average cost price of RM 0.20 per 10 tablets. Most patients were charged within the approved coverage limit of RM 45 per clinic visit, with only 2.41% of patients being charged with costs that exceeded this limit. Uncontrolled drug pricing in the private healthcare system in Malaysia indicates that drug prices differ greatly across private healthcare providers most of the prices were charged with high profit margins. Employers may consider a multilayer capping system to prevent inappropriate drug pricing, which will inevitably benefit patients clinically and economically and provide greater patient access to better drug treatment.

This study evaluated the risk of opioid dose escalation as it relates to sex differences among patients receiving opioids for long-term therapy. Patients and methods: This retrospective cohort study was conducted in tertiary hospital settings in Malaysia using electronic prescription records. Opioid naïve patients, aged ≥18 years, who were undergoing long-term opioid therapy of ≥90 days, with at least one opioid prescription (buprenorphine, morphine, oxycodone, fentanyl, dihydrocodeine or tramadol) between 1st January 2011 and 31st December 2016, were included in the study. They were followed until (i) the end of the study period, (ii) death from any cause or (iii) discontinuation of therapy from their first opioid prescription without any intervals of ≥120 days between successive prescriptions. The risk of high opioid dose escalation to ≥100 mg/day and ≥200 mg/day relative to men and women was measured. Results: A total of 4688 patients (58.8% women, 41.3% men) on long-term opioid therapy were identified. Among these patients, 248 (5.29%) were escalated to high opioid doses of ≥100 mg/day and 69 (1.47%) were escalated to ≥200 mg/day. The escalation to high-dose opioid therapy was more likely to occur in men than in women, even after adjustment for age (dose ≥100 mg/day [adjusted hazard ratio 2.32; 95% confidence interval (CI), 1.79 to 3.00; p<0.0001] and ≥200 mg/day [adjusted hazard ratio 6.10; 95% CI, 3.39 to 10.98; p<0.0001]). Conclusion: The risk of opioid dose escalation differed between men and women, as men were at higher risk than women for high opioid dose escalation.

A BSTRACT Introduction: A geriatric syndrome is a group of signs and symptoms that occur in older people and do not fit into a discrete disease. Several medications were reported to be associated with the incidence of geriatric syndromes. Objective: The objective of this study was to investigate the prevalence and pattern of medications associated with geriatric syndromes (MAGSs) among the discharged elderly patients (≥65 years old). Materials and Methods: This is a cross-sectional study that was conducted at a Malaysian teaching hospital from October to December 2018. The discharge medications of geriatric patients were reviewed to identify MAGSs using Beers criteria, Lexicomp drug information handbook, and the United States Food and Drug Administration (USFDA) drug inserts. Chi-square test was used to compare MAGS prescribed between categories. Spearman’s rank-order correlation was used to test the correlation between the presence of MAGS and the number of discharge medications. A binomial logistic regression was applied to determine the predictors of prescribing MAGSs. Results: A total of 400 patients (mean ± standard deviation [SD] age, 72.0 ± 5.0 years) were included, and 45.3% of them were females. The most common diseases were hypertension followed by diabetes mellitus. The mean ± SD number of discharge medications per patient was 4.2 ± 2.5. The MAGSs were prescribed in 51.7% of the patients, and 54 patients were discharged with more than one MAGSs. The most commonly prescribed MAGSs were opioid analgesics, vasodilators, and β-blockers, which are associated with falls, depression, and delirium. Polypharmacy was found in 138 patients, and it was significantly associated with the presence of MAGSs ( P < 0.001). No significant differences were found in prescribing MAGSs based on the patients’ gender, race, and age. Conclusion: The prescribing of MAGSs occurred in half of the discharged elderly patients. Physicians should be aware of the medications that are associated with special side effects in the elderly patients, and should switch to safer alternatives when possible.

Limited data are available on the adherence to opioid therapy and the influence of different patient groups on adherence. This study examined the patterns of adherence in opioid naïve and opioid existing patients with varying age and gender. This retrospective cohort study was conducted using the prescription databases in tertiary hospital settings in Malaysia from 2010 to 2016. Adult patients aged ≥18 years, receiving at least two opioid prescriptions, were included and stratified into the opioid naïve and existing patient groups. Adherence to opioid therapy was measured using the proportion of days covered (PDC), which was derived by dividing the total number of days covered with any opioids by the number of days in the follow-up period. Generalized linear modeling was used to assess factors associated with PDC. A total of 10,569 patients with 36,650 prescription episodes were included in the study. Of these, 91.7% (n = 9,696) were opioid naïve patients and 8.3% (n = 873) were opioid existing patients. The median PDC was 35.5% (interquartile range (IQR) 10.3–78.7%) and 26.8% (IQR 8.8–69.5%) for opioid naïve and opioid existing patients, respectively. A higher opioid daily dose (coefficient 0.010, confidence interval (CI) 0.009, 0.012 p < 0.0001) and increasing age (coefficient 0.002, CI 0.001, 0.003 p < 0.0001) were associated with higher levels of PDC, while lower PDC values were associated with male subjects (coefficient −0.0041, CI −0.072, −0.010 p = 0.009) and existing opioid patients (coefficient −0.134, CI −0.191, −0.077 p < 0.0001). The suboptimal adherence to opioid medications was commonly observed among patients with non-cancer pain, and the opioid existing patients were less adherent compared to opioid naïve patients. Increasing age and a higher daily opioid dose were factors associated with higher levels of adherence, while male and opioid existing patients were potential determinants for lower levels of adherence to opioid medications.