Displaying publications 61 - 80 of 88 in total

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  1. Salbiah Isa, Rohayu Hami, Hanita Hashim, Mohd Nizam S., Harani MS., Sairi S., et al.
    MyJurnal
    Introduction: Laboratory turnaround time (LTAT) is considered a reliable indicator of the quality and efficiency of a laboratory’s service. LTAT achievement, particularly of urgent tests, remains unsatisfactory and challenging in many clinical laboratories especially in tertiary health care centres with high workload and restricted resources. The unresolved issue of unsatisfactory urgent renal profile (RP) LTAT below the standard performance goal prompted our interest to improve laboratory’s handling of urgent test request. We thus implemented the Lean principle in the management of urgent test requests using urgent RP as the test model. Methods: The implementation of laboratory Lean involved 4 steps process; (1) Development of burning platform for change (2) Identification of waste (3) Plan- ning and implementation of control measures (4) Measuring, monitoring, and sustaining the improvement. Urgent RP LTAT and the percentage of the request met the time requirement determined based on the data extracted from laboratory information system (LIS) before and after the implementation of Lean was compared to assess the effec- tiveness. Results: Urgent RP LTAT after the implementation of Lean was reduced i.e 35 min (before) vs 31 min (after), with the percentage of LTAT met the time requirement was significantly increased above the set target i.e 82.8% (before) to 93.5% (after) with P-value = 0.001. Conclusion: Implementation of innovation using Lean management has significantly improved urgent RP LTAT achievement, thus optimised urgent test management in our Chemical Pathology laboratory. Lean is a strongly recommended strategy to improve urgent test LTAT especially in laboratories with restricted resources.
    Matched MeSH terms: Efficiency; Efficiency, Organizational
  2. Hossein Moshiri, Syed Mohammed Aljunid, Rahmah Mohd Amin
    MyJurnal
    In a time of rising demands on hospital reimbursement levels, focus on efficient operations is becoming more imperative. In health care systems, the measurement of efficiency is usually the first step in auditing individual performance of production units, e.g. hospitals, health centers, etc. It constitutes the rational framework for the distribution of human and other resources between and within health care facilities. The term efficiency is broadly used in economics and refers to the best utilization of resources in production. Typical example of efficiency is technical efficiency, referring to the effective use of resources in producing outputs. In the Farrell framework, a hospital is judged to be technically efficient if it is operating on the best practice production frontier in its hospital industry. In general, there are two main frontier methods in measuring efficiency. The first is Data Envelopment Analysis (DEA), a linear programming method which enables the measurement of efficiency consistent with the theoretically based concept of production efficiency. DEA typically examines the relationship between inputs to a production process and the outputs of that process. The second technique for assessing efficiency that is employed is Stochastic Frontier Analysis (SFA). This is an econometric technique to estimate a conventional function; with the difference being that efficiency is measured using the residuals from the estimated equation. The error term is therefore divided into a stochastic error term and a systematic inefficiency term.
    Matched MeSH terms: Efficiency
  3. Vogel K, Karltun J, Yeow PH, Eklund J
    Meat Sci, 2015 Jul;105:81-8.
    PMID: 25828161 DOI: 10.1016/j.meatsci.2015.03.009
    The beef industry worldwide is showing a trend towards increased cutting pace aimed at higher profits. However, prior research in the duck meat industry suggested that a higher cutting pace reduced quality and yield, leading to losses. This study aimed to test this hypothesis by investigating the effects of varying beef-cutting paces on yield, quality and economy. A field experiment was conducted on six workers cutting beef fillet, sirloin and entrecôte. Three types of paces were sequentially tested: Baseline (i.e., status quo), 'Quantity focus' (i.e., pace required to maximise quantity) and 'Quality focus' (i.e., pace required to minimise errors). The results showed a significant drop in yield, increased rate of quality deficiency and economic losses with the change to 'Quantity focus' (from Baseline and 'Quality focus') for all meat types. Workers supported these results and also added health problems to the list. The results confirmed that an increased cutting pace is unprofitable.
    Matched MeSH terms: Efficiency, Organizational/economics
  4. Teoh SL, Chong HY, Abdul Aziz S, Chemi N, Othman AR, Md Zaki N, et al.
    Neuropsychiatr Dis Treat, 2017;13:1979-1987.
    PMID: 28814869 DOI: 10.2147/NDT.S137140
    INTRODUCTION: Schizophrenia (SCZ) is a highly debilitating disease despite its low prevalence. The economic burden associated with SCZ is substantial and mainly attributed to productivity loss. To improve the understanding of economic burden of SCZ in the low- and middle-income country regions, we aimed to determine the economic burden of SCZ in Malaysia.

    METHODS: A retrospective study was conducted using a prevalence-based approach from a societal perspective in Malaysia with a 1 year period from 2013. We used micro-costing technique with bottom-up method and included direct medical cost, direct non-medical cost, and indirect cost. The main data source was medical chart review which was conducted in Hospital Kuala Lumpur (HKL). The medical charts were identified electronically by matching the unique patient's identification number registered under the National Mental Health Schizophrenia Registry and the list of patients in HKL in 2013. Other data sources were government documents, literatures, and local websites. To ensure robustness of result, probabilistic sensitivity analysis was conducted.

    RESULTS: The total estimated number of treated SCZ cases in Malaysia in 2015 was 15,104 with the total economic burden of USD 100 million (M) which was equivalent to 0.04% of the national gross domestic product. On average, the mean cost per patient was USD 6,594. Of the total economic burden of SCZ, 72% was attributed to indirect cost, costing at USD 72M, followed by direct medical cost (26%), costing at USD 26M, and direct non-medical cost (2%), costing at USD 1.7M.

    CONCLUSION: This study highlights the magnitude of economic burden of SCZ and informs the policy-makers that there is an inadequate support for SCZ patients. More resources should be allocated to improve the condition of SCZ patients and to reduce the economic burden.

    Matched MeSH terms: Efficiency
  5. Mahadzir MDA, Quek KF, Ramadas A
    Nutrients, 2020 Apr 15;12(4).
    PMID: 32326541 DOI: 10.3390/nu12041091
    BACKGROUND: While peer support interventions have shown to benefit adults with certain chronic conditions, there is limited evidence on its feasibility and effectiveness among people with metabolic syndrome (MetS). This paper describes the outcomes of a pre-post feasibility trial of "PEeR SUpport program for ADults with mEtabolic syndrome" (PERSUADE), an evidence-based and community-specific nutrition and lifestyle behavior peer support program for Malaysian adults with MetS.

    METHODS: We recruited 48 peers (median age: 46 (IQR = 11) years old) into four peer groups, who underwent 3 months of PERSUADE, followed by 3 months of follow-up period. Statistical analyses were conducted at post-intervention and post-follow-up to assess the changes in nutrition intake, anthropometry, and metabolic parameters.

    RESULTS: Although there were significant overall increases in total carbohydrate intake and glycemic load (both p < 0.001), we noted significant reductions in the intakes of total energy and fat (both p < 0.001). Physical activity (total METS/week) also showed a significant improvement (p < 0.001). Overall, significant but marginal improvements in anthropometric and vital metabolic parameters were also observed.

    CONCLUSIONS: The feasibility trial supported the adoption of PERSUADE, though there is a need to assess the long-term impact of the peer support program in local community settings.

    Matched MeSH terms: Efficiency, Organizational*
  6. Rayanakorn A, Ademi Z, Liew D, Lee LH
    PLoS Negl Trop Dis, 2021 01;15(1):e0008985.
    PMID: 33481785 DOI: 10.1371/journal.pntd.0008985
    BACKGROUND: Streptoccocus suis (S.suis) infection is a neglected zoonosis disease in humans mainly affects men of working age. We estimated the health and economic burden of S.suis infection in Thailand in terms of years of life lost, quality-adjusted life years (QALYs) lost, and productivity-adjusted life years (PALYs) lost which is a novel measure that adjusts years of life lived for productivity loss attributable to disease.

    METHODS: A decision-analytic Markov model was developed to simulate the impact of S. suis infection and its major complications: death, meningitis and infective endocarditis among Thai people in 2019 with starting age of 51 years. Transition probabilities, and inputs pertaining to costs, utilities and productivity impairment associated with long-term complications were derived from published sources. A lifetime time horizon with follow-up until death or age 100 years was adopted. The simulation was repeated assuming that the cohort had not been infected with S.suis. The differences between the two set of model outputs in years of life, QALYs, and PALYs lived reflected the impact of S.suis infection. An annual discount rate of 3% was applied to both costs and outcomes. One-way sensitivity analyses and Monte Carlo simulation modeling technique using 10,000 iterations were performed to assess the impact of uncertainty in the model.

    KEY RESULTS: This cohort incurred 769 (95% uncertainty interval [UI]: 695 to 841) years of life lost (14% of predicted years of life lived if infection had not occurred), 826 (95% UI: 588 to 1,098) QALYs lost (21%) and 793 (95%UI: 717 to 867) PALYs (15%) lost. These equated to an average of 2.46 years of life, 2.64 QALYs and 2.54 PALYs lost per person. The loss in PALYs was associated with a loss of 346 (95% UI: 240 to 461) million Thai baht (US$11.3 million) in GDP, which equated to 1.1 million Thai baht (US$ 36,033) lost per person.

    CONCLUSIONS: S.suis infection imposes a significant economic burden both in terms of health and productivity. Further research to investigate the effectiveness of public health awareness programs and disease control interventions should be mandated to provide a clearer picture for decision making in public health strategies and resource allocations.

    Matched MeSH terms: Efficiency
  7. Ur Rehman A, Hassali MAA, Muhammad SA, Shakeel S, Chin OS, Ali IABH, et al.
    Pharmacoecon Open, 2021 Mar;5(1):35-44.
    PMID: 32291727 DOI: 10.1007/s41669-020-00214-x
    BACKGROUND: Chronic obstructive pulmonary disease (COPD) requires long-term pharmacological and non-pharmacological management that encompasses continuous economic burden on patients and society, and also results in productivity losses due to compromised quality of life. Among working-age patients, COPD is the 11th leading cause of work productivity loss.

    OBJECTIVE: The aim of this study was to assess the economic burden of COPD in Malaysia, including direct costs for the management of COPD and indirect costs due to productivity losses for COPD patients.

    METHODOLOGY: Overall, 150 patients with an established diagnosis of COPD were followed-up for a period of 1 year from August 2018 to August 2019. An activity-based costing, 'bottom-up' approach was used to calculate direct costs, while indirect costs of patients were assessed using the Work Productivity and Activity Impairment Questionnaire.

    RESULTS: The mean annual per-patient direct cost for the management of COPD was calculated as US$506.92. The mean annual costs per patient in the management phase, emergency department visits, and hospital admissions were reported as US$395.65, US$86.4, and US$297.79, respectively; 31.66% of COPD patients visited the emergency department and 42.47% of COPD patients were admitted to the hospital due to exacerbation. The annual mean indirect cost per patient was calculated as US$1699.76. Productivity losses at the workplace were reported as 31.87% and activity limitations were reported as 17.42%.

    CONCLUSION: Drugs and consumables costs were the main cost-driving factors in the management of COPD. The higher ratio of indirect cost to direct medical costs shows that therapeutic interventions aimed to prevent work productivity losses may reduce the economic burden of COPD.

    Matched MeSH terms: Efficiency
  8. Khalid R, Nawawi MK, Kawsar LA, Ghani NA, Kamil AA, Mustafa A
    PLoS One, 2013;8(4):e58402.
    PMID: 23560037 DOI: 10.1371/journal.pone.0058402
    M/G/C/C state dependent queuing networks consider service rates as a function of the number of residing entities (e.g., pedestrians, vehicles, and products). However, modeling such dynamic rates is not supported in modern Discrete Simulation System (DES) software. We designed an approach to cater this limitation and used it to construct the M/G/C/C state-dependent queuing model in Arena software. Using the model, we have evaluated and analyzed the impacts of various arrival rates to the throughput, the blocking probability, the expected service time and the expected number of entities in a complex network topology. Results indicated that there is a range of arrival rates for each network where the simulation results fluctuate drastically across replications and this causes the simulation results and analytical results exhibit discrepancies. Detail results that show how tally the simulation results and the analytical results in both abstract and graphical forms and some scientific justifications for these have been documented and discussed.
    Matched MeSH terms: Efficiency, Organizational/statistics & numerical data*
  9. Hasan MZ, Kamil AA, Mustafa A, Baten MA
    PLoS One, 2012;7(5):e37047.
    PMID: 22629352 DOI: 10.1371/journal.pone.0037047
    The stock market is considered essential for economic growth and expected to contribute to improved productivity. An efficient pricing mechanism of the stock market can be a driving force for channeling savings into profitable investments and thus facilitating optimal allocation of capital. This study investigated the technical efficiency of selected groups of companies of Bangladesh Stock Market that is the Dhaka Stock Exchange (DSE) market, using the stochastic frontier production function approach. For this, the authors considered the Cobb-Douglas Stochastic frontier in which the technical inefficiency effects are defined by a model with two distributional assumptions. Truncated normal and half-normal distributions were used in the model and both time-variant and time-invariant inefficiency effects were estimated. The results reveal that technical efficiency decreased gradually over the reference period and that truncated normal distribution is preferable to half-normal distribution for technical inefficiency effects. The value of technical efficiency was high for the investment group and low for the bank group, as compared with other groups in the DSE market for both distributions in time-varying environment whereas it was high for the investment group but low for the ceramic group as compared with other groups in the DSE market for both distributions in time-invariant situation.
    Matched MeSH terms: Efficiency, Organizational/statistics & numerical data*
  10. Hossain MK, Kamil AA, Baten MA, Mustafa A
    PLoS One, 2012;7(10):e46081.
    PMID: 23077500 DOI: 10.1371/journal.pone.0046081
    The objective of this paper is to apply the Translog Stochastic Frontier production model (SFA) and Data Envelopment Analysis (DEA) to estimate efficiencies over time and the Total Factor Productivity (TFP) growth rate for Bangladeshi rice crops (Aus, Aman and Boro) throughout the most recent data available comprising the period 1989-2008. Results indicate that technical efficiency was observed as higher for Boro among the three types of rice, but the overall technical efficiency of rice production was found around 50%. Although positive changes exist in TFP for the sample analyzed, the average growth rate of TFP for rice production was estimated at almost the same levels for both Translog SFA with half normal distribution and DEA. Estimated TFP from SFA is forecasted with ARIMA (2, 0, 0) model. ARIMA (1, 0, 0) model is used to forecast TFP of Aman from DEA estimation.
    Matched MeSH terms: Efficiency*
  11. Hasan MZ, Kamil AA, Mustafa A, Baten MA
    PLoS One, 2012;7(8):e42215.
    PMID: 22900009 DOI: 10.1371/journal.pone.0042215
    Banking system plays an important role in the economic development of any country. Domestic banks, which are the main components of the banking system, have to be efficient; otherwise, they may create obstacle in the process of development in any economy. This study examines the technical efficiency of the Malaysian domestic banks listed in the Kuala Lumpur Stock Exchange (KLSE) market over the period 2005-2010. A parametric approach, Stochastic Frontier Approach (SFA), is used in this analysis. The findings show that Malaysian domestic banks have exhibited an average overall efficiency of 94 percent, implying that sample banks have wasted an average of 6 percent of their inputs. Among the banks, RHBCAP is found to be highly efficient with a score of 0.986 and PBBANK is noted to have the lowest efficiency with a score of 0.918. The results also show that the level of efficiency has increased during the period of study, and that the technical efficiency effect has fluctuated considerably over time.
    Matched MeSH terms: Efficiency, Organizational/economics*
  12. Rehman FU, Ismail H, Al Ghazali BM, Asad MM, Shahbaz MS, Zeb A
    PLoS One, 2021;16(12):e0261573.
    PMID: 34937055 DOI: 10.1371/journal.pone.0261573
    Drucker's knowledge-worker productivity theory and knowledge-based view of the firm theory are widely employed in many disciplines but there is little application of these theories in knowledge-based innovation among academic researchers. Therefore, this study intends to evaluate the effects of the knowledge management process on knowledge-based innovation alongside with mediating role of Malaysian academic researchers' productivity during the Pandemic of COVID-19. Using a random sampling technique, data was collected from 382 academic researchers. Questionnaires were self-administered and data was analyzed via Smart PLS-SEM. Knowledge management process and knowledge workers' productivity have a positive and significant relationship with the knowledge-based innovation among academic researchers during the Pandemic of COVID-19. In addition, knowledge workers' productivity mediates the relationship between the knowledge management process (knowledge creation, knowledge acquisition, knowledge sharing, and knowledge utilization) and knowledge-based innovation during the Pandemic of COVID-19. Results have also directed knowledge sharing as the key factor in knowledge-based innovation and a stimulating task for management discipline around the world during the Pandemic of COVID-19. This study provides interesting insights on Malaysian academic researchers' productivity by evaluating the effects of knowledge creation, acquisition, sharing, and application on the knowledge-based innovation among academic researchers during the Pandemic of COVID-19. These useful insights would enable policymakers to develop more influential educational strategies. By assimilating the literature of defined variables, the main contribution of this study is the evaluation of knowledge creation, acquisition, sharing, and utilization into knowledge-based innovation alongside the mediating role of knowledge workers productivity in the higher education sector of Malaysia during the Pandemic of COVID-19.
    Matched MeSH terms: Efficiency
  13. Rusmita SA, Zulaikha S, Mazlan NS, Mohd Dali NRSB, Cahyono EF, Ramadhani I
    PLoS One, 2023;18(11):e0286629.
    PMID: 38011115 DOI: 10.1371/journal.pone.0286629
    The market for the halal food and beverage industry sector has experienced rapid growth in recent years, which indicate excellent investment opportunities. This paper examine the effect of Technical Efficiency (TE) on firm value in 5 selected influential countries in halal food and beverage sector based on Global Islamic Economy Report 2020. Two steps estimation was used to run the data, using the Stochastic Frontier Analysis (SFA) model to determine the company's TE and panel data to test the effect of TE through firm value. The results show that Indonesia has the highest score for TE (62%), followed by Pakistan (59%), South Africa (57%), Malaysia (55%), and Singapore (52%), which means, in general, there is inefficiency in allocating resources over 38% up to 48% and needs to be improved by halal food and beverage companies in. Regarding panel data, all countries sample except Pakistan highlight that TE significantly affect company value. It indicates that the crucial part of managing efficiency can be a sign in stock market performance. The result shows that company managers should set efficiency strategies to their business process for creating sustainability and increase their value in the capital market. As for investors, this TE can be used as an indicator before choosing company stocks; if the company is efficient, then it is worthy of being one of the portfolio assets. Form the government side, the finding can help them to set appropriate policy setting to boost halal food and beverages industry such as giving subsidy or incentive to increase the efficiency ability of halal food and beverage companies and identify the industry's strength by comparing the result of TE between 5 countries.
    Matched MeSH terms: Efficiency
  14. Rubayah Yakob, Zulkornain Yusop, Alias Radam, Noriszura Ismail
    Sains Malaysiana, 2014;43:1439-1450.
    The objective of this study was to identify the exogenous variables of risk and investment management efficiency by using a two-stage data envelopment analysis (DEA) method. The first stage involves obtaining the efficiency scores of risk and investment management via DEA that requires only the traditional inputs and outputs. In the second stage, the Tobit regression analysis is conducted in which the efficiency score obtained from the first stage is treated as a dependent variable, while the exogenous factors are considered to be independent variables. The exogenous factors consist of operating systems, organizational form, consumer preference and size. The results showed that the mutual company as well as the takaful system demonstrate better risk management performance than their stock and conventional system counterparts. In addition, size is also a significant indicator for risk management efficiency in which the larger insurer/takaful operator exhibits better risk management performance than the smaller one. However, consumer preference is found to be insignificantly correlated with the efficiency of risk management. In contrast, with risk management, organizational form, operating system and size are not indicators of the investment management efficiency, but consumer preference is significantly and positively associated with investment management efficiency.
    Matched MeSH terms: Efficiency
  15. Najmeh Malekmohammadi, Azmi Jaafar, Mansor Monsi
    Data envelopment analysis (DEA) is a mathematical programming for evaluating the relative efficiency of decision making units (DMUs). The first DEA model (CCR model) assumed for exact data, later some authors introduced the applications of DEA which the data was imprecise. In imprecise data envelopment analysis (IDEA) the data can be ordinal, interval and fuzzy. Data envelopment analysis also can be used for the future programming of organizations and the response of the different policies, which is related to the target setting and resource allocation. The existing target model that conveys performance based targets in line with the policy making scenarios was defined for exact data. In this paper we improved the model for imprecise data such as fuzzy, ordinal and interval data. To deal with imprecise data we first established an interval DEA model. We used one of the methods to convert fuzzy and ordinal data into the interval data. A numerical experiment is used to illustrate the application to our interval model.
    Matched MeSH terms: Efficiency
  16. Touhidul IASM, Sorooshian S
    Sci Eng Ethics, 2019 10;25(5):1605-1607.
    PMID: 29717466 DOI: 10.1007/s11948-018-0055-z
    Communication is an essential part of all activities of organizations. However, it is affected by technology. Today, email and social media are popular methods of communication in organizations. Each of the listed methods has advantages and disadvantages which will be discussed in this letter which tries to drive the attention of organizations to the need for a standard and balanced approach toward communication.
    Matched MeSH terms: Efficiency, Organizational*
  17. Pau A, Omar H, Khan S, Jassim A, Seow LL, Toh CG
    Singapore Dent J, 2017 12;38:45-54.
    PMID: 29229074 DOI: 10.1016/j.sdj.2017.08.001
    BACKGROUND: To quantify participation in dental research activities in Malaysia, and investigate its association with socio-demographic and professional characteristics, and perceptions of research and development (R&D) culture.

    MATERIALS AND METHODS: Dental academics in Malaysian dental schools were invited to complete a questionnaire by email and post. The survey comprised questions on research activities in the past 12 months, socio-demographic and professional characteristics, and the R&D Culture Index. Principal components factor analysis was carried out to confirm the factor structure of the R&D Culture Index. Chi-square test was used to identify association of research activities with R&D culture, and socio-demographic and professional characteristics. Binary logistic regression was carried to identify predicators of research activities.

    RESULTS: Of 256 potential participants contacted, 128 (50%) useable responses were returned. Three R&D Culture factors accounting for 57.4% of variance were extracted. More positive perception of R&D Support was associated with Malaysians (0.025) and those employed in Government schools (0.017). R&D Skills and Aptitude were associated with older respondents (0.050), PhD qualification (0.014) and more years in academia (0.014). R&D Intention was associated with any of the socio-demographic characteristics. Thirty (23.4%) respondents reported a peer-review research publication in the past 12 months, which was associated with having a PhD (OR 12.79, CI 1.28-127.96), after adjustment in regression analyses.

    DISCUSSION: Postgraduate research training should be encouraged to promote participation in research activities. R&D culture did not appear to impact on research productivity. Other factors such as individual attitudinal interests should be studied.

    Matched MeSH terms: Efficiency
  18. Zaidi SZ, Abidi SS, Manickam S
    PMID: 15460713
    This paper presents a case for an intelligent agent based framework for knowledge discovery in a distributed healthcare environment comprising multiple heterogeneous healthcare data repositories. Data-mediated knowledge discovery, especially from multiple heterogeneous data resources, is a tedious process and imposes significant operational constraints on end-users. We demonstrate that autonomous, reactive and proactive intelligent agents provide an opportunity to generate end-user oriented, packaged, value-added decision-support/strategic planning services for healthcare professionals, manages and policy makers, without the need for a priori technical knowledge. Since effective healthcare is grounded in good communication, experience sharing, continuous learning and proactive actions, we use intelligent agents to implement an Agent based Data Mining Infostructure that provides a suite of healthcare-oriented decision-support/strategic planning services.
    Matched MeSH terms: Efficiency, Organizational
  19. Chong HY, Mohamed Z, Tan LL, Wu DBC, Shabaruddin FH, Dahlui M, et al.
    Br J Dermatol, 2017 Oct;177(4):1102-1112.
    PMID: 28346659 DOI: 10.1111/bjd.15498
    BACKGROUND: A strong association has been documented between HLA-B*15:02 and carbamazepine-induced severe cutaneous adverse reactions (SCARs) in Asians. Human leucocyte antigen testing is potentially valuable in many countries to facilitate early recognition of patient susceptibility to SCARs.

    OBJECTIVES: To determine the cost-effectiveness of universal HLA-B*15:02 screening in preventing carbamazepine-induced Stevens-Johnson syndrome/toxic epidermal necrolysis in an ethnically diverse Malaysian population.

    METHODS: A hybrid model of a decision tree and Markov model was developed to evaluate three strategies for treating newly diagnosed epilepsy among adults: (i) carbamazepine initiation without HLA-B*15:02 screening (current practice); (ii) universal HLA-B*15:02 screening prior to carbamazepine initiation; and (iii) alternative treatment [sodium valproate (VPA)] prescribing without HLA-B*15:02 screening. Base-case analysis and sensitivity analyses were performed over a lifetime time horizon. Incremental cost-effectiveness ratios were calculated.

    RESULTS: Both universal HLA-B*15:02 screening and VPA prescribing were dominated by current practice. Compared with current practice, universal HLA-B*15:02 screening resulted in a loss of 0·0255 quality-adjusted life years (QALYs) at an additional cost of 707 U.S. dollars (USD); VPA prescribing resulted in a loss of 0·2622 QALYs at an additional cost of USD 4127, owing to estimated differences in antiepileptic treatment efficacy.

    CONCLUSIONS: Universal HLA-B*15:02 screening is unlikely to be a cost-effective intervention in Malaysia. However, with the emergence of an ethnically diverse population in many other countries, this may render HLA-B*15:02 screening a viable intervention when an increasing proportion of the population is at risk and an equally effective yet safer antiepileptic drug is available.

    Matched MeSH terms: Efficiency
  20. Rehman AU, Hassali MAA, Muhammad SA, Harun SN, Shah S, Abbas S
    Eur J Health Econ, 2020 Mar;21(2):181-194.
    PMID: 31564007 DOI: 10.1007/s10198-019-01119-1
    OBJECTIVES: To find the economic burden of COPD and to identify the key cost drivers in the management of COPD patients across different European countries.

    BACKGROUND: COPD is a major cause of mortality and morbidity and is associated with considerable economic burden on the individual and society. It limits the daily activities and working ability of the patients.

    METHODOLOGY: We conducted a systematic search of PUBMED, SCIENCE DIRECT, Cochrane CENTRAL, SCOPUS, Google Scholar and SAGE Premier Databases to find scientific research articles evaluating the cost of COPD management from patient and societal perspective.

    RESULTS: Estimated per patient per year direct cost in Norway, Denmark, Germany, Italy, Sweden, Greece, Belgium, and Serbia was €10,701, €9580, €7847, €7448, €7045, €2896, €1963, and €2047, respectively. Annual per patient cost of work productivity loss was highest in Germany as €5735 and lowest in Greece as €998. It was estimated as €4824, €2033 and €1298 in Bulgaria, Denmark and Sweden, respectively. Several factors found associated with increasing cost of COPD management that include but not limited to late diagnosis, severity of disease, frequency of exacerbation, hospital readmissions, non-adherence to the therapy and exposure to COPD risk factors.

    CONCLUSION: Minimizing the COPD exacerbations and controlling the worsening of symptoms may potentially reduce the cost of COPD management at any stage.

    Matched MeSH terms: Efficiency
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