BACKGROUND: Managed care is one of the means advocated for health care reforms. The Malaysian government has proposed managed care for its citizens. In the Malaysian private health care sector, managed care is practised on a small scale with crude risk adjustment. The main determinant of an individual's health service utilization is their health status (HS). HS is used as a risk adjuster for capitation payment. Prescribed medications represent a useful source for HS estimation. We aimed to develop and validate a medication-based HS estimate and to incorporate it in the Andersen model of health service utilization. This is a preparatory step in studying the feasibility of developing a model for risk assessment in the Malaysian context.
METHODS: Data were collected retrospectively from an academic year from computerized databases in University Sains Malaysia (USM) about users of USM primary care services. A user is a USM health scheme beneficiary who made at least one visit in the academic year to USM-assigned primary care providers. Socio-demographic variables, enrolment period, medications prescribed and number of visits were also collected. Chronic illness medications and some non-chronic illness medications were used to calculate the Long-Term Therapeutic Groups Index (LTTGI) which is an estimate of the HS of users. Using a random 50% of users, weighted least square methods were used to develop a model that predicts a user's number of visits. The other 50% were used for validation.
RESULTS: Socio-demographic variables explained 15% of variability in number of primary care visits among users. Adding the LTTGI improved the explanatory power of the model to 36% (P < 0.001). A similar contribution of the LTTGI was noted in the validation.
CONCLUSIONS: The Long-Term Therapeutic Groups Index was successfully developed. Variability in number of primary care visits can be predicted by LTTGI-based models.
WHAT IS KNOWN AND OBJECTIVE: Drug-drug interactions (DDIs) cause considerable morbidity and mortality worldwide and may lead to hospital admission. Sophisticated computerized drug information and monitoring systems, more recently established in many of the emerging economies, including Malaysia, are capturing useful information on prescribing. Our aim is to report on an investigation of potentially serious DDIs, using a university primary care-based system capturing prescription records from its primary care services.
METHODS: We retrospectively collected data from two academic years over 20 months from computerized databases at the Universiti Sains Malaysia (USM) from users of the USM primary care services.
RESULTS AND DISCUSSION: Three hundred and eighty-six DDI events were observed in a cohort of 208 exposed patients from a total of 23,733 patients, representing a 2-year period prevalence of 876·4 per 100,000 patients. Of the 208 exposed patients, 138 (66·3%) were exposed to one DDI event, 29 (13·9%) to two DDI events, 15 (7·2%) to three DDI events, 6 (2·9%) to four DDI events and 20 (9·6%) to more than five DDI events. Overall, an increasing mean number of episodes of DDIs was noted among exposed patients within the age category ≥70 years (P=0·01), an increasing trend in the number of medications prescribed (P<0·001) and an increasing trend in the number of long-term therapeutic groups (P<0·001).
WHAT IS NEW AND CONCLUSION: We describe the prevalence of clinically important DDIs in an emerging economy setting and identify the more common potentially serious DDIs. In line with the observations in developed economies, a higher number of episodes of DDIs were seen in patients aged ≥70 years and with more medications prescribed. The easiest method to reduce the frequency of DDIs is to reduce the number of medications prescribed. Therapeutic alternatives should be selected cautiously.
BACKGROUND: The prescription of contraindicated drugs is a preventable medication error, which can cause morbidity and mortality. Recent data on the factors associated with drug contraindications (DCIs) is limited world-wide, especially in Malaysia.
AIMS: The objectives of this study are 1) to quantify the prevalence of DCIs in a primary care setting at a Malaysian University; 2) to identify patient characteristics associated with increased DCI episodes, and 3) to identify associated factors for these DCIs.
METHODS: We retrospectively collected data from 1 academic year using computerized databases at the Universiti Sains Malaysia (USM) from patients of USM's primary care. Descriptive and comparative statistics were used to characterize DCIs.
RESULTS: There were 1,317 DCIs during the study period. These were observed in a cohort of 923 patients, out of a total of 17,288 patients, representing 5,339 DCIs per 100,000 patients, or 5.3% of all patients over a 1-year period. Of the 923 exposed patients, 745 (80.7%) were exposed to 1 DCI event, 92 (10%) to 2 DCI events, 35 (3.8%) to 3 DCI events, 18 (2%) to 4 DCI events, and 33 patients (3.6%) were exposed to 5 or more DCI events. The average age of the exposed patients was 30.7 ± 15 y, and 51.5% were male. Multivariate logistic regression analysis revealed that being male (OR = 1.3; 95% CI = 1.1 - 1.5; p < 0.001), being a member of the staff (OR = 3; 95% CI = 2.5 - 3.7; p < 0.001), having 4 or more prescribers (OR = 2.8; 95% CI = 2.2 - 3.6; p < 0.001), and having 4 or more longterm therapeutic groups (OR = 2.3; 95%CI = 1.7 - 3.1; p < 0.001), were significantly associated with increased chance of exposure to DCIs.
DISCUSSION AND CONCLUSIONS: This is the first study in Malaysia that presents data on the prevalence of DCIs. The prescription of contraindicated drugs was found to be frequent in this primary care setting. Exposure to DCI events was associated with specific socio-demographic and health status factors. Further research is needed to evaluate the relationship between health outcomes and the exposure to DCIs.
OBJECTIVES: The objectives of this study were 1) to obtain information regarding the prescribing pattern of nonsteroidal anti-inflammatory drugs (NSAIDs) in the primary care setting at a Malaysian university, 2) to determine the prevalence and types of potential NSAID prescription related problems (PRPs), and 3) to identify patient characteristics associated with exposure to these potential PRPs.
METHODS: We retrospectively collected data from 1 academic year using the electronic medical records of patients in the University Sains Malaysia (USM) primary care system. The defined daily dose (DDD) methodology and the anatomical therapeutic chemical (ATC) drug classification system were used in the analysis and comparison of the data. Statements representing potential NSAID PRPs were developed from authoritative drug information sources. Then, algorithms were developed to screen the databases for these potential PRPs. Descriptive and comparative statistics were used to characterize DRPs.
RESULTS: During the study period, 12,470 NSAID prescriptions were prescribed for 6,509 patients (mean ± SD = 1.92 ± 1.83). This represented a prevalence of 35,944 per 100,000 patients, or 36%. Based on their DDDs, mefenamic acid and diclofenac were the most prescribed NSAIDs. 573 potential NSAID-related PRPs were observed in a cohort of 432 patients, representing a prevalence of 6,640 per 100,000 NSAIDs users, or 6.6% of all NSAID users. Multivariate logistic regression analysis revealed that patients with a Malay ethnic background (p < 0.001), members of the staff (p < 0.001), having 4 or more prescribers (p < 0.001) or having 2 - 3 prescribers (p = 0.02), and representing 4 or more long-term therapeutic groups (LTTGs) (p < 0.001) or 2 - 3 LTTGs (p < 0.001) were significantly associated with an increased chance of exposure to potential NSAID related PRPs.
CONCLUSIONS: This is the first study in Malaysia that presents data on the prescribing pattern of NSAIDs and the characteristics of potential NSAID-related PRPs. The prevalence of potential NSAID-related PRPs is frequent in the primary care setting. Exposure to these PRPs is associated with specific sociodemographic and health status factors. These results should help to raise the awareness of clinicians and patients about serious NSAID PRPs.
Study site: University Sains Malaysia (USM) primary care system.