Methods: A yearly correlation test for a 5-year period was performed to investigate the association between the wholesale and RRP medicine prices declared by the pharmaceutical industry from 2011 to 2015 on the one hand and the consumer wholesale and retail medicine price database on the other hand. The median price ratio (MPR) was calculated by comparing the consumer retail medicine price to its international reference price. The Krukal Wallis test was used to analyse the pricing trend throughout the 5-year period, and factors that might elevate the MPR above 2.5 were modelled using binary logistic regression.
Results: A total of 2527 medicine price data were analysed. There was a strong significant association between medicine prices declared to the PSD and the retail medicine prices in every year of the 5-year period. Moreover, there was no significant increase in retail medicine prices throughout the 5-year period. The medicine types, retail location, type of manufacturer, medicinal indications, declared wholesale and RRPs significantly influenced the consumer MPRs that where > 2.5.
Conclusion: The declared medicine price was found to have a significant association with the consumer retail medicine price. Thus, it may be a useful reference for consumers purchasing medicines in private healthcare settings. However, the government of Malaysia must develop strategies to increase medicine price transparency for price-control mechanisms in the private healthcare sector.
OBJECTIVE: To investigate the evidence available: 1) on government initiatives to mandate transparency in drug pricing worldwide, 2) on the reported effects of drug pricing transparency initiatives on drug price, and 3) on the limitations and barriers of the implementation of drug pricing transparency.
METHODS: Databases such as Medline-Ovid, Cochrane Central Register, PubMed, and Science Direct were used to search for relevant literature from inception to February 2018. A manual search of grey literature such as policy papers, governmental publications, and websites was also performed to obtain the information that was not available in the articles. Using narrative synthesis, the results were critically assessed and summarized according to its context of drug pricing approaches.
RESULTS: Of the 4382 relevant articles located, 12 studies met the inclusion criteria for drug price transparency initiatives. Only 3 studies reported the outcomes on the regulation of drug prices. Two studies in South Africa showed that price transparency initiatives did not necessarily reduce drug prices. Another study in the Philippines indicated a reduction in medicines' price based on the effects of government-mediated access prices. The limitations and barriers in price transparency initiatives include fragmentation of the healthcare system and nondisclosure of discounts and rebates by pharmaceutical companies.
CONCLUSION: Drug pricing transparency initiatives have been implemented in many countries and commonly coexist with a country's pricing policies. Nevertheless, due to sparse evidence, the effect of drug price transparency initiatives on price control is still inconclusive.
AIM: To explore community pharmacists' perceptions of barriers, facilitators, and strategies for the implementation of a medication review service in Malaysia.
METHODS: A focus group discussion followed by semi-structured interviews were conducted among purposively sampled community pharmacists with an interest in medication review service. A framework analysis approach using the consolidated framework for implementation research (CFIR) was utilized to generate and analyze the data. After data mapping, the CFIR-ERIC (expert recommendations for implementing change) matching tool was used to generate the strategies according to the barriers identified.
RESULTS: Twenty community pharmacists participated in this study. Several barriers and facilitators to service implementation were identified based on the respondent's input. The CFIR-ERIC strategies matching tool analysis reported potential plans that can mitigate the barriers such as: identify and prepare champions, conduct local consensus discussions, conduct educational meetings, alter incentive/allowance structures, and develop a formal implementation blueprint.
CONCLUSION: Multifaceted strategies are required to ensure the successful implementation of medication review services in Malaysia. The findings of this study will assist in the development of a sustainable medication review service blueprint for the Malaysian community pharmacy setting.
METHODS: This study was conducted as face-to-face, semi-structured interview. Respondents from private pharmaceutical industries, community pharmacists, general practitioners, private hospital pharmacists, governments, academicians and senior pharmacist were recruited using purposive sampling. Using phenomenological study approach, interviews were conducted, and audio recorded with their consent. Data were transcribed verbatim and analysed using thematic analysis with Atlas.ti 8 software and categorised as strengths, weaknesses, opportunities and threats (SWOT).
RESULTS: A total of 28 respondents were interviewed. There was a mixed perception regarding the price transparency implementation in Malaysia's private healthcare settings. The potential strengths include it will provide price standardization, reduce price manipulation and competition, hence allowing the industry players to focus more on patient-care services. Moreover, the private stakeholders were concerned that the practice may affect stakeholders' business and marketing strategy, reduce profit margin, increase general practitioner's consultation fees and causing impact on geographical discrepancies. The practice was viewed as an opportunity to disseminate the truth price information to consumer and strengthen collaboration between healthcare industries and Ministry of Health although this may become a threat that affect the business survival.
CONCLUSION: Price transparency initiatives would benefit the pharmaceutical industries, consumer and countries, but it needs to be implemented appropriately to prevent price manipulation, market monopoly, and business closure. Future study may want to evaluate the impact of the initiatives on the business in the industry.
METHODS: A cross-sectional study was carried out on 100 epilepsy patients, aged 18 years or older that did not have any physical or psychiatric illness. A patient-administered questionnaire was used to assess their knowledge, attitude towards, practice, and perceived effectiveness (KAPP) of CAM. Established adherence assessment tools were used to determine patient medication adherence.
RESULTS: The prevalence of CAM usage was found to be at 58%. CAM was used more frequently by males (n = 32, 60.4%) than by females (n = 26, 55.3%; p = 0.609). The most commonly used CAM included vitamins and minerals (36%), ginseng (16%), antioxidants (15%), and acupuncture (12%). A significant number of patients had low knowledge of (59%) and a positive attitude (54%) toward complementary and alternative medicine. Main reasons for using CAM were a lower price, better availability, and inadequate seizure control by AEDs. About 43% of the patients who used CAM informed their doctor. Prevalence of non-adherence to AED therapy was found to be 68%. A significant association was found between non-adherence and CAM usage (p
Objective: To investigate medication adherence among patients with and without medication subsidies and to identify factors that may influence patients' adherence to medication. Setting: Government healthcare institutions in Kuala Lumpur, Selangor, and Negeri Sembilan and private healthcare institutions in Selangor and Negeri Sembilan, Malaysia.
Methods: This cross-sectional study sampled patients with and without medication subsidies (self-paying patients). Only one of the patient's medications was re-packed into Medication Event Monitoring Systems (MEMS) bottles, which were returned after four weeks. Adherence was defined as the dose regimen being executed as prescribed on 80% or more of the days. The factors that may influence patients' adherence were modelled using binary logistic regression. Main outcome measure: Percentage of medication adherence.
Results: A total of 97 patients, 50 subsidized and 47 self-paying, were included in the study. Medication adherence was observed in 50% of the subsidized patients and 63.8% of the self-paying patients (χ2=1.887, df=1, p=0.219). None of the evaluated variables had a significant influence on patients' medication adherence, with the exception of attending drug counselling. Patients who attended drug counselling were found to be 3.3 times more likely to adhere to medication than those who did not (adjusted odds ratio of 3.29, 95% CI was 1.42 to 7.62, p = 0.006).
Conclusion: There is no significant difference in terms of medication adherence between subsidized and self-paying patients. Future studies may wish to consider evaluating modifiable risk factors in the examination of non-adherence among subsidized and self-paying patients in Malaysia.
Method: Potential studies were identified through a systematic search of Scopus, Science Direct, Google Scholar, and PubMed. The keywords used to identify relevant articles were "adherence," "AED," "epilepsy," "non-adherence," and "complementary and alternative medicine." An article was included in the review if the study met the following criteria: 1) conducted in epilepsy patients, 2) conducted in patients aged 18 years and above, 3) conducted in patients prescribed AEDs, and 4) patients' adherence to AEDs.
Results: A total of 3,330 studies were identified and 30 were included in the final analysis. The review found that the AED non-adherence rate reported in the studies was between 25% and 66%. The percentage of CAM use was found to be between 7.5% and 73.3%. The most common reason for inadequate AED therapy and higher dependence on CAM was the patients' belief that epilepsy had a spiritual or psychological cause, rather than primarily being a disease of the brain. Other factors for AED non-adherence were forgetfulness, specific beliefs about medications, depression, uncontrolled recent seizures, and frequent medication dosage.
Conclusion: The review found a high prevalence of CAM use and non-adherence to AEDs among epilepsy patients. However, a limited number of studies have investigated the association between CAM usage and AED adherence. Future studies may wish to explore the influence of CAM use on AED medication adherence.
Participants and methods: A total of 11 stakeholders comprising health care providers, administrators, caretakers and residents were recruited from a list of registered government, nongovernmental organization and private RACFs in Malaysia from September 2016 to April 2017. An exploratory qualitative study adhering to Consolidated Criteria for Reporting Qualitative Studies was conducted. In-depth interview was conducted with consent of all participants, and the interviews were audio recorded for later verbatim transcription. Observational analysis was also conducted in a noninterfering manner.
Results and discussion: Three themes, namely medication use process, personnel handling medications and culture, emerged in this study. Medication use process highlighted an unclaimed liability for residents' medication by the RACFs, whereas personnel handling medications were found to lack sufficient training in medication management. Culture of the organization did affect the medication safety and quality improvement. The empowerment of the residents in their medication management was limited. There were unclear roles and responsibility of who manages the medication in the nongovernment-funded RACFs, although they were well structured in the private nursing homes.
Conclusion: There are important issues related to medication management in RACFs which require a need to establish policy and guidelines.
METHODS: Patient data was obtained retrospectively through the Ministry of Health, Malaysia, from 2011 to 2016. Patients with incomplete data were excluded. A total of 2044 clinical P. vivax malaria cases treated with primaquine were included. Data collected were patient, disease, and treatment characteristics. Two-thirds of the cases (n = 1362) were used to develop a clinical risk score, while the remaining third (n = 682) was used for validation.
RESULTS: Using multivariate analysis, age (p = 0.03), gametocyte sexual count (p = 0.04), indigenous transmission (p = 0.04), type of treatment (p = 0.12), and incomplete primaquine treatment (p = 0.14) were found to be predictors of recurrence after controlling for other confounding factors; these predictors were then used in developing the final model. The beta-coefficient values were used to develop a clinical scoring tool to predict possible recurrence. The total scores ranged between 0 and 8. A higher score indicated a higher risk for recurrence (odds ratio [OR]: 1.971; 95% confidence interval [CI]: 1.562-2.487; p ≤ 0.001). The area under the receiver operating characteristic (ROC) curve of the developed (n = 1362) and validated model (n = 682) was of good accuracy (ROC: 0.728, 95% CI: 0.670-0.785, p value