METHODS: A computer-based SG (CBSG) tool was developed using Microsoft® PowerPoint 2007 to value asthma-specific health states in Malaysia. Eight hypothetical health states were considered, including two anchor states (healthy and dead), three chronic (C) states and three temporary (T) states (each numbered 1 through 3, with increasing severity) in addition to the subject's current health state. Twenty adult asthma patients completed the CBSG tool in addition to paper-based Asthma Control Test, three health status measures (EQ-5D, EQ-VAS, and Mini Asthma Quality of Life Questionnaire (MiniAQLQ)), and VAS utility assessment tool. Patients and interviewers rated the difficulty of the VAS and CBSG tools. Correlations between current health state values derived from the various measures were determined.
RESULTS: The SG and the VAS received similar difficulty ratings. 17 patients completed the CBSG tool within 30 minutes. The mean utilities determined by the CBSG tool for the T1-T3 asthma health states met the expected logical order of 1>2>3, but those for the C1-C3 states did not. Correlation between current health state values derived from the CBSG tool and other measurement tools was poor.
CONCLUSION: The CBSG tool developed for measuring utilities of asthma health states showed acceptable feasibility and overall validity.
Methods: The UKPDS-Outcome Model version 2.0 (UKPDS-OM2) was used to evaluate the cost and consequence of diabetes-related complication. The effectiveness of the insulin was derived from the literature review, and the patients' epidemiology characteristics were retrieved from the Malaysian Diabetes Registry. A discount rate of 3% was applied to both costs and health effects. Another simple mathematical model was used to compare the benefit of reducing the hypoglycemia events between LAIA and NPH insulin. The outputs of the models were combined to obtain the final result. One-way sensitivity analyses were performed to assess the uncertainties.
Results: The net cost difference (without accounting for hypoglycemia) was RM4868 for insulin Glargine and RM6026 for insulin Detemir. The saving from preventing severe hypoglycemia was RM4377 for insulin Glargine and RM12,753 for insulin Detemir. The total additional QALY gained from insulin Glargine was 0.1317 and from insulin Detemir was 0.8376. The sensitivity analysis shows the discount rate, and drug acquisition cost may affect the incremental cost-effectiveness ratio (ICER) value.
Conclusion: Both insulin Detemir and Glargine are cost-effective compared to NPH insulin for T2DM patients, especially when the benefit of reducing the hypoglycemia event rate is taken into account.
METHODS: A multi-stage sampling design was adopted for the study and data collection took place in three phases in 2010, 2011, and 2012 in the Northern region of Malaysia. Face-to-face interviews involved respondents answering both 13 TTO and 15 VAS valuation tasks were carried out. Both additive and multiplicative model specifications were explored using the valuation data. Model performance was evaluated using out-of-sample predictive accuracy by applying the cross-validation technique. The distribution of the model values was also graphically compared on Bland-Altman plots and kernel density distribution curves.
RESULTS: Data from 630 and 611 respondents were included for analyses using TTO and VAS models, respectively. In terms of main-effects specifications, cross-validation results revealed a slight superiority of multiplicative models over its additive counterpart in modelling TTO values. However, both main-effects models had roughly equal predictive accuracy for VAS models. The non-linear multiplicative model with I32 term, MULT7_TTO, performed best for TTO models; while, the linear additive model with N3 term, ADD11_VAS, outperformed the other VAS models. Multiplicative modelling neither altered the dimensional rankings of importance nor did it change the distribution of values of the health states.
CONCLUSION: Using EQ-5D-3L valuation data, multiplicative modelling was shown to improve out-of-sample predictive accuracy of TTO models but not of VAS models.
METHODS: An activity-based microcosting approach was applied to estimate the unit cost of events from the hospital's perspective. First, activities and resources that were involved in each cost center were identified and valued against a suitable form of unit. Thereafter, the mean cost of each resource per event was calculated by dividing the product of the quantity of the resource used and the unit cost of the resource by the number of events. The mean cost per event was the sum of the cost of resources for all cost centers involved. The costs were expressed in 2014 US dollars ($) and Malaysian Ringgit (RM).
RESULTS: Data were collected from 15 maintenance, 20 acute exacerbation, and 50 hospitalization events. The mean (±SD) cost of maintenance management was $48.04 (±10.10); RM154.68 (±32.52). The cost of acute exacerbation management in the Emergency Department was $13.50 (±2.21), RM43.46 (±7.10); and in the medical ward, the cost was $552.13 (±303.41), RM1777.86 (±976.98), per hospitalization event.
CONCLUSION: The microcosting of management of asthma-related events provides more accurate estimates that could be used in local economic studies. However, its possible limited generalizability to other types of health care settings in Malaysia needs to be kept in mind.
Methods: This study adopted the cross-sectional, contingent valuation study that involved 400 respondents in Penang, Malaysia. The double-bounded dichotomous choice via bidding game approach was employed to elicit the WTP value for two hypothetical 3-doses dengue vaccines (Vaccines A and B with 5- and 10-years' protection, respectively against dengue). A univariate logistic regression model was employed to assess the key determinants of vaccine acceptance, while the mean WTP value and its associated factors were measured by using the parametric two-part model (TPM).
Results: Dengue vaccine appeared to be highly acceptable (88.4%) among the population in Penang, Malaysia. Respondents who were of Chinese ethnicity (OR 0.36, p = 0.017), with higher dengue knowledge score (OR 1.43, p = 0.016), and higher vaccination attitude score (OR 1.91, p
METHODS: Online databases were searched for published journal articles in English language from year 1990 to 2012, using the search terms '"asthma" AND ("intervene" OR "manage") AND ("pharmacoeconomics" OR "economic evaluation" OR "cost effectiveness" OR "cost benefit" OR "cost utility")'. Hand search was done for local publishing. Only studies with full economic evaluation on enhanced management were included (cost consequences (CC), cost effectiveness (CE), cost benefit (CB), or cost utility (CU) analysis). Data were extracted and assessed for the quality of its economic evaluation design and evidence sources.
RESULTS: A total of 49 studies were included. There were 3 types of intervention for enhanced asthma management: education, environmental control, and self-management. The most cost-effective enhanced management was a mixture of education and self-management by an integrated team of healthcare and allied healthcare professionals. In general, the studies had a fair quality of economic evaluation with a mean QHES score of 73.7 (SD=9.7), and had good quality of evidence sources.
CONCLUSION: Despite the overall fair quality of economic evaluations but good quality of evidence sources for all data components, this review showed that the delivered enhanced asthma managements, whether as single or mixed modes, were overall effective and cost-reducing. Whilst the availability and accessibility are an equally important factor to consider, the sustainability of the cost-effective management has to be further investigated using a longer time horizon especially for chronic diseases such as asthma.
METHODS: This was a cross-sectional study conducted among Malaysian adults in three northern states of Malaysia. A pre-developed questionnaire consisting of both the EQ-5D and SF-12 items was used for data collection. Concurrent, convergent, and known group validity of EQ-5D were assessed against SF-12 and several known relationships with participants' demographic and illness characteristics.
RESULTS: A total of 596 Malaysians participated in the study. The mean EQ-5D score was 0.93 (SD = 0.13), while the mean physical component score (PCS-12) and mental component score (MCS-12) scores were 48.9 (SD = 7.4) and 49.1 (SD = 8.0), respectively. Participants with a current medical problem had lower PCS-12 and MCS-12 scores and reported more problems with all of the EQ-5D dimensions; they also had lower EQ-5D and EQ-VAS scores (P < 0.05). Convergent validity was supported by a moderately positive correlation between EQ-5D and EQ-VAS with MCS-12 and PCS-12 scores; moreover, the stronger effect sizes between PCS-12 and the physical dimensions of EQ-5D as well as between MCS-12 with anxiety/depression scores further supported the convergent validity of EQ-5D. Responses to the EQ-5D dimensions only supported two of the four known group validity hypotheses of higher quality of life among individuals who are better educated and no medical problem. No association was found between income and gender with EQ-5D score.
CONCLUSION: This study has demonstrated acceptable construct validity of the EQ-5D among the Malaysian population.