Displaying publications 1 - 20 of 313 in total

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  1. Lee YK, Ng CJ
    Z Evid Fortbild Qual Gesundhwes, 2017 Jun;123-124:66-68.
    PMID: 28527637 DOI: 10.1016/j.zefq.2017.05.019
    Shared decision making (SDM) activities in Malaysia began around 2010. Although the concept is not widespread, there are opportunities to implement SDM in both the public and private healthcare sectors. Malaysia has a multicultural society and cultural components (such as language differences, medical paternalism, strong family involvement, religious beliefs and complementary medicine) influence medical decision making. In terms of policy, the Ministry of Health has increasingly mentioned patient-centered care as a component of healthcare delivery while the Malaysian Medical Council's guidelines on doctors' duties mentioned collaborative partnerships as a goal of doctor-patient relationships. Current research on SDM comprises baseline surveys of decisional role preferences, development and implementation of locally developed patient decision aids, and conducting of SDM training workshops. Most of this research is carried out by public research universities. In summary, the current state of SDM in Malaysia is still at its infancy. However, there are increasing recognition and efforts from the academic institutions and Ministry of Health to conduct research in SDM, develop patient decision support tools and initiate national discussion on patient involvement in decision making.
    Matched MeSH terms: Decision Making*
  2. Lee YK, Ng CJ, Lee PY, Tong WT, Sa'at H
    Z Evid Fortbild Qual Gesundhwes, 2022 Jun;171:89-92.
    PMID: 35610129 DOI: 10.1016/j.zefq.2022.04.020
    Shared decision making (SDM) activities in Malaysia began around 2010. The rise in the numbers of patients with chronic disease in Malaysia underscores a growing need for doctors to practice patient-centred care and SDM as more Malaysians come into regular contact with health decision-making scenarios. Recent guidelines for medical professionalism have emphasized that options and risks be discussed in consultations, especially for procedures with risk of adverse outcomes. Although SDM is not legally required, principles of SDM are applied in legal judgements on informed consent. Research on SDM has grown to include the adoption of patient and public involvement in research, an increased emphasis on incorporating local cultural values in SDM, and implementation of SDM in Malaysia's health system and organizational culture. While COVID-19 hindered the progress of SDM research, one positive development was that vaccination choices heightened public consciousness about personal decisional autonomy and the need to discuss pros and cons with doctors before making a medical decision.
    Matched MeSH terms: Decision Making
  3. Taib NA, Yip CH, Low WY
    World J Surg, 2014 Jul;38(7):1676-84.
    PMID: 24280975 DOI: 10.1007/s00268-013-2339-4
    Advanced breast cancer presentation remains a large obstacle in lowering mortality rates in low- and middle-resource countries. This study aims to explore the reasons why women present with breast cancer at an advanced stage.
    Matched MeSH terms: Decision Making*
  4. Dilokthornsakul P, McQueen RB, Chaiyakunapruk N, Spackman E, Watanabe JH, Campbell JD
    Value Health Reg Issues, 2016 May;9:99-104.
    PMID: 27881269 DOI: 10.1016/j.vhri.2015.12.003
    Health technology assessment is a form of health policy research that provides policymakers with information relevant to decisions about policy alternatives. Findings from cost-effectiveness analysis (CEA) are one of the important aspects of health technology assessment. Nevertheless, the more advanced method of value of information (VOI), which is recommended by the International Society for Pharmacoeconomics and Outcomes Research and Society for Medical Decision Making Modeling Good Research Practices Task Force, has rarely been applied in CEA studies in Asia. The lack of VOI in Asian CEA studies may be due to limited understanding of VOI methods and what VOI can and cannot help policy decision makers accomplish. This concept article offers audiences a practical primer in understanding the calculation, presentation, and policy implications of VOI. In addition, it provides a rapid survey of health technology assessment guidelines and literature related to VOI in Asia and discusses the future directions of VOI use in Asia and its potential barriers. This article will enable health economists, outcomes researchers, and policymakers in Asia to better understand the importance of VOI analysis and its implications, leading to the appropriate use of VOI in Asia.
    Matched MeSH terms: Clinical Decision-Making
  5. Shafie AA, Chandriah H, Yong YV, Wan Puteh SE
    Value Health Reg Issues, 2019 May;18:145-150.
    PMID: 31082794 DOI: 10.1016/j.vhri.2019.03.003
    OBJECTIVE: To describe the process and role of health technology assessment (HTA) in the context of drug policy in Malaysia.

    METHODS: We summarized the HTA process through review of documents and reports available in the public domain combined with the authors' experience.

    RESULTS: Health technology assessment plays an integral part in prioritizing treatment in public health facilities in Malaysia, particularly for the Ministry of Health Medicines Formulary (MOHMF). The MOHMF is the reference list of drugs allowed to be prescribed in the Ministry of Health (MOH) facilities. There are 2 organizations within the MOH that conduct HTA as their core activities, namely the Malaysian Health Technology Assessment Section and the Formulary Management Branch of Pharmacy Practice & Development Division. The assessment of pharmaceuticals for the purpose of listing medicines into the MOHMF is under the purview of the Formulary Management Branch. The evidence-based assessment focuses on safety, efficacy, effectiveness, and budget impact of the drug. Cost-effectiveness evidence is currently not mandatory but is of interest to the decision makers. The assessment outcomes are considered by the MOH Medicines List Review Panel for formulary decisions.

    CONCLUSIONS: Health technology assessment has supported formulary decisions in MOH. Evidence generation needs to progress beyond efficacy or effectiveness, safety, and budget impact to incorporate cost-effectiveness. Nevertheless, there are challenges to be met to achieve this. The impact of the HTA process is currently unknown and is yet to be evaluated formally.

    Matched MeSH terms: Decision Making
  6. Aljunid SM, Srithamrongsawat S, Chen W, Bae SJ, Pwu RF, Ikeda S, et al.
    Value Health, 2012 2 1;15(1 Suppl):S132-8.
    PMID: 22265060 DOI: 10.1016/j.jval.2011.11.004
    This article sought to describe the health-care data situation in six selected economies in the Asia-Pacific region. Authors from Thailand, China mainland, South Korea, Taiwan, Japan, and Malaysia present their analyses in three parts. The first part of the article describes the data-collection process and the sources of data. The second part of the article presents issues around policies of data sharing with the stakeholders. The third and final part of the article focuses on the extent of health-care data use for policy reform in these different economies. Even though these economies differ in their economic structure and population size, they share some similarities on issues related to health-care data. There are two main institutions that collect and manage the health-care data in these economies. In Thailand, China mainland, Taiwan, and Malaysia, the Ministry of Health is responsible through its various agencies for collecting and managing the health-care data. On the other hand, health insurance is the main institution that collects and stores health-care data in South Korea and Japan. In all economies, sharing of and access to data is an issue. The reasons for limited access to some data are privacy protection, fragmented health-care system, poor quality of routinely collected data, unclear policies and procedures to access the data, and control on the freedom on publication. The primary objective of collecting health-care data in these economies is to aid the policymakers and researchers in policy decision making as well as create an awareness on health-care issues for the general public. The usage of data in monitoring the performance of the heath system is still in the process of development. In conclusion, for the region under discussion, health-care data collection is under the responsibility of the Ministry of Health and health insurance agencies. Data are collected from health-care providers mainly from the public sector. Routinely collected data are supplemented by national surveys. Accessibility to the data is a major issue in most of the economies under discussion. Accurate health-care data are required mainly to support policy making and evidence-based decisions.
    Matched MeSH terms: Decision Making
  7. Ozawa S, Wonodi C, Babalola O, Ismail T, Bridges J
    Vaccine, 2017 11 07;35(47):6429-6437.
    PMID: 29037575 DOI: 10.1016/j.vaccine.2017.09.079
    BACKGROUND: Understanding and ranking the reasons for low vaccination uptake among parents in northern Nigeria is critical to implement effective policies to save lives and prevent illnesses. This study applies best-worst scaling (BWS) to rank various factors affecting parents' demand for routine childhood immunization.

    METHODS: We conducted a household survey in Nahuche, Zamfara State in northern Nigeria. Nearly two hundred parents with children under age five were asked about their views on 16 factors using a BWS technique. These factors focused on known attributes that influence the demand for childhood immunization, which were identified from a literature review and reviewed by a local advisory board. The survey systematically presented parents with subsets of six factors and asked them to choose which they think are the most and least important in decisions to vaccinate children. We used a sequential best-worst analysis with conditional logistic regression to rank factors.

    RESULTS: The perception that vaccinating a child makes one a good parent was the most important motivation for parents in northern Nigeria to vaccinate children. Statements related to trust and social norms were ranked higher in importance compared to those that highlighted perceived benefits and risks, healthcare service, vaccine information, or opportunity costs. Fathers ranked trust in the media and views of their leaders to be of greatest importance, whereas mothers placed greater importance on social perceptions and norms. Parents of children without routine immunization ranked their trust in local leaders about vaccines higher in considerations, and the media's views lower, compared to parents with children who received routine immunization.

    CONCLUSIONS: Framing immunization messages in the context of good parenting and hearing these messages from trusted information sources may motivate parental uptake of childhood vaccines. These results are useful to policymakers to prioritize resources in order to increase awareness and demand for childhood immunization.

    Matched MeSH terms: Decision Making/physiology*
  8. Tumin M, Mohd Satar NH, Zakaria RH, Raja Ariffin RN, Soo-Kun L, Kok-Peng N, et al.
    Urol J, 2015 Sep 04;12(4):2245-50.
    PMID: 26341766
    PURPOSE: This study explores the factors affecting the willingness of dialysis patients' family members to become involved in living and deceased organ donation.

    MATERIALS AND METHODS: We utilize cross sectional data on 350 family members of dialysis patients collected through self-administered survey from June to October 2013. The factors affecting willingness to become deceased and living organ donors among respondents were identified by running logistic regressions.

    RESULTS: The findings reveal that ethnicity, education and role in family are significant factors explaining will­ingness for living donation, while ethnicity, knowledge of organ donation and donor age drive willingness for deceased donation. We also find that the reasons of respondents being unwilling to donate center on the lack of information and family objections for deceased donation, while being medically unfit, scared of surgery and family objections are the reasons for unwillingness to donate living organs.

    CONCLUSION: In light of our findings, educational efforts are suggested to decrease the reluctance to become in­volved in living and deceased donation.

    Matched MeSH terms: Decision Making*
  9. Mohd Zulhilmi Aqil Muhamad, Noor Hafhizah Abd Rahim
    MyJurnal
    Expert system is a system that emulates experts to aid in decision making. This system can be applied in various categories such as diagnosis, prediction, interpretation, and others. Expert System to Diagnose Dengue Fever is a web-based system which is integrated with prolog language in order to provide rules for dengue fever detection. The aims of this research are to study dengue fever symptoms and other illnesses related to the fever, to design an inference engine, and to build an expert system. The challenges faced while developing this expert system were the complexity of prolog codes and their integration with the web development. In this system, rules were developed by prolog language which define dengue fever and accuracy based on input from the user. This system is expected to aid users in self-detecting early symptoms of dengue fever before seeing the doctors.
    Matched MeSH terms: Decision Making
  10. Ngu, Seng Ling, Jerome, Kueh
    MyJurnal
    Nowadays, gold prices have been volatile, and the wealth of gold investors depend on the movement of gold prices. The purpose of this study is to examine the relationship between gold prices, crude oil prices, inflation rate, real interest rate and stock prices in United States. This study uses monthly data covering the period ranging from January 1990 to August 2018. The Johansen and Juselius (JJ) Cointegration test and Vector Error Correction Model (VECM) are conducted in this study. The result shows that there is a long-run relationship among gold prices, crude oil prices, inflation rate, real interest rate and stock prices. The results show that inflation rate and crude oil prices are significance and positively related to gold prices, while stock prices and real interest rate are negatively affecting gold prices. There are three unidirectional Granger causality and one bidirectional Granger causality in the short run. Only inflation rate Granger cause gold price, which means that inflation rate directly affects the gold prices. This study allows community such as central bank, government, financial institution, economist, investor and policy makers in manipulating and controlling the movement of the gold prices so that they have a better decision making to diversify their risks.
    Matched MeSH terms: Decision Making
  11. Hasan R, Napiah M
    Traffic Inj Prev, 2018 04 03;19(3):292-297.
    PMID: 28898110 DOI: 10.1080/15389588.2017.1373768
    OBJECTIVE: The footbridge is a vital structure in the road network and a cornerstone among crossing facilities. Yet, it suffers from low usage by pedestrians as they try to cross the street on the level. This study aims to analyze the perceptions of Malaysian pedestrians toward the use of footbridges with the consideration of different factors.

    METHOD: The study was carried out by collecting data from field observation and questionnaire distribution on the street among the public. The data were statistically analyzed by applying multiple linear regression models and a series of chi-square tests.

    RESULTS: The study found that the most influential factor cited by pedestrians in decision making regarding using a footbridge is the existence of an escalator. Being in a hurry and the fear of heights were significantly associated with choosing not to use a footbridge. Zebra crossing was chosen as the most favorable type of crossing facility by the majority of respondents. In addition, installation of a fence and barriers was proposed as an effective procedure to prevent jaywalking. To construct new and efficient footbridges in the future, the study suggests consideration of traffic volume, posted speed limit, and the number of lanes, because these are the most influential factors to predict the usage rate.

    CONCLUSIONS: The study encourages decision makers and stakeholders to consider providing escalators for new footbridges to enhance the safety of pedestrians.

    Matched MeSH terms: Decision Making
  12. Lim RB
    Ther Adv Respir Dis, 2016 10;10(5):455-67.
    PMID: 27585597 DOI: 10.1177/1753465816660925
    Despite advances in the detection, pathological diagnosis and therapeutics of lung cancer, many patients still develop advanced, incurable and progressively fatal disease. As physicians, the duties to cure sometimes, relieve often and comfort always should be a constant reminder to us of the needs that must be met when caring for a patient with lung cancer. Four key areas of end-of-life care in advanced lung cancer begin with first recognizing 'when a patient is approaching the end of life'. The clinician should be able to recognize when the focus of care needs to shift from an aggressive life-sustaining approach to an approach that helps prepare and support a patient and family members through a period of progressive, inevitable decline. Once the needs are recognized, the second key area is appropriate communication, where the clinician should assist patients and family members in understanding where they are in the disease trajectory and what to expect. This involves developing rapport, breaking bad news, managing expectations and navigating care plans. Subsequently, the third key area is symptom management that focuses on the goals to first and foremost provide comfort and dignity. Symptoms that are common towards the end of life in lung cancer include pain, dyspnoea, delirium and respiratory secretions. Such symptoms need to be anticipated and addressed promptly with appropriate medications and explanations to the patient and family. Lastly, in order for physicians to provide quality end-of-life care, it is necessary to understand the ethical principles applied to end-of-life-care interventions. Misconceptions about euthanasia versus withholding or withdrawing life-sustaining treatments may lead to physician distress and inappropriate decision making.
    Matched MeSH terms: Decision Making
  13. Shamim A, Balakrishnan V, Tahir M, Shiraz M
    ScientificWorldJournal, 2014;2014:340583.
    PMID: 25506612 DOI: 10.1155/2014/340583
    The increasing use and ubiquity of the Internet facilitate dissemination of word-of-mouth through blogs, online forums, newsgroups, and consumer's reviews. Online consumer's reviews present tremendous opportunities and challenges for consumers and marketers. One of the challenges is to develop interactive marketing practices for making connections with target consumers that capitalize consumer-to-consumer communications for generating product adoption. Opinion mining is employed in marketing to help consumers and enterprises in the analysis of online consumers' reviews by highlighting the strengths and weaknesses of the products. This paper describes an opinion mining system based on novel review and feature ranking methods to empower consumers and enterprises for identifying critical product features from enormous consumers' reviews. Consumers and business analysts are the main target group for the proposed system who want to explore consumers' feedback for determining purchase decisions and enterprise strategies. We evaluate the proposed system on real dataset. Results show that integration of review and feature-ranking methods improves the decision making processes significantly.
    Matched MeSH terms: Decision Making*
  14. Mousavi SM, Niaki ST, Bahreininejad A, Musa SN
    ScientificWorldJournal, 2014;2014:136047.
    PMID: 25093195 DOI: 10.1155/2014/136047
    A multi-item multiperiod inventory control model is developed for known-deterministic variable demands under limited available budget. Assuming the order quantity is more than the shortage quantity in each period, the shortage in combination of backorder and lost sale is considered. The orders are placed in batch sizes and the decision variables are assumed integer. Moreover, all unit discounts for a number of products and incremental quantity discount for some other items are considered. While the objectives are to minimize both the total inventory cost and the required storage space, the model is formulated into a fuzzy multicriteria decision making (FMCDM) framework and is shown to be a mixed integer nonlinear programming type. In order to solve the model, a multiobjective particle swarm optimization (MOPSO) approach is applied. A set of compromise solution including optimum and near optimum ones via MOPSO has been derived for some numerical illustration, where the results are compared with those obtained using a weighting approach. To assess the efficiency of the proposed MOPSO, the model is solved using multi-objective genetic algorithm (MOGA) as well. A large number of numerical examples are generated at the end, where graphical and statistical approaches show more efficiency of MOPSO compared with MOGA.
    Matched MeSH terms: Decision Making
  15. Rostamzadeh R, Ismail K, Bodaghi Khajeh Noubar H
    ScientificWorldJournal, 2014;2014:703650.
    PMID: 25197707 DOI: 10.1155/2014/703650
    This study presents one of the first attempts to focus on critical success factors influencing the entrepreneurial intensity of Malaysian small and medium sized enterprises (SMEs) as they attempt to expand internationally. The aim of this paper is to evaluate and prioritize the entrepreneurial intensity among the SMEs using multicriteria decision (MCDM) techniques. In this research FAHP is used for finding the weights of criteria and subcriteria. Then for the final ranking of the companies, VIKOR (in Serbian: VlseKriterijumska Optimizacija I Kompromisno Resenje) method was used. Also, as an additional tool, TOPSIS technique, is used to see the differences of two methods applied over the same data. 5 main criteria and 14 subcriteria were developed and implemented in the real-world cases. As the results showed, two ranking methods provided different ranking. Furthermore, the final findings of the research based on VIKOR and TOPSIS indicated that the firms A3 and A4 received the first rank, respectively. In addition, the firm A4 was known as the most entrepreneurial company. This research has been done in the manufacturing sector, but it could be also extended to the service sector for measurement.
    Matched MeSH terms: Decision Making, Organizational*
  16. Saad R, Ahmad MZ, Abu MS, Jusoh MS
    ScientificWorldJournal, 2014;2014:865495.
    PMID: 24782670 DOI: 10.1155/2014/865495
    Multicriteria decision making (MCDM) is one of the methods that popularly has been used in solving personnel selection problem. Alternatives, criteria, and weights are some of the fundamental aspects in MCDM that need to be defined clearly in order to achieve a good result. Apart from these aspects, fuzzy data has to take into consideration that it may arise from unobtainable and incomplete information. In this paper, we propose a new approach for personnel selection problem. The proposed approach is based on Hamming distance method with subjective and objective weights (HDMSOW's). In case of vagueness situation, fuzzy set theory is then incorporated onto the HDMSOW's. To determine the objective weight for each attribute, the fuzzy Shannon's entropy is considered. While for the subjective weight, it is aggregated into a comparable scale. A numerical example is presented to illustrate the HDMSOW's.
    Matched MeSH terms: Decision Making*
  17. Whaiduzzaman M, Gani A, Anuar NB, Shiraz M, Haque MN, Haque IT
    ScientificWorldJournal, 2014;2014:459375.
    PMID: 24696645 DOI: 10.1155/2014/459375
    Cloud computing (CC) has recently been receiving tremendous attention from the IT industry and academic researchers. CC leverages its unique services to cloud customers in a pay-as-you-go, anytime, anywhere manner. Cloud services provide dynamically scalable services through the Internet on demand. Therefore, service provisioning plays a key role in CC. The cloud customer must be able to select appropriate services according to his or her needs. Several approaches have been proposed to solve the service selection problem, including multicriteria decision analysis (MCDA). MCDA enables the user to choose from among a number of available choices. In this paper, we analyze the application of MCDA to service selection in CC. We identify and synthesize several MCDA techniques and provide a comprehensive analysis of this technology for general readers. In addition, we present a taxonomy derived from a survey of the current literature. Finally, we highlight several state-of-the-art practical aspects of MCDA implementation in cloud computing service selection. The contributions of this study are four-fold: (a) focusing on the state-of-the-art MCDA techniques, (b) highlighting the comparative analysis and suitability of several MCDA methods, (c) presenting a taxonomy through extensive literature review, and (d) analyzing and summarizing the cloud computing service selections in different scenarios.
    Matched MeSH terms: Decision Making, Computer-Assisted*
  18. Hu Y, Loo CK
    ScientificWorldJournal, 2014;2014:240983.
    PMID: 24778580 DOI: 10.1155/2014/240983
    A novel decision making for intelligent agent using quantum-inspired approach is proposed. A formal, generalized solution to the problem is given. Mathematically, the proposed model is capable of modeling higher dimensional decision problems than previous researches. Four experiments are conducted, and both empirical experiments results and proposed model's experiment results are given for each experiment. Experiments showed that the results of proposed model agree with empirical results perfectly. The proposed model provides a new direction for researcher to resolve cognitive basis in designing intelligent agent.
    Matched MeSH terms: Decision Making*
  19. Al-Rawi HA, Yau KL, Mohamad H, Ramli N, Hashim W
    ScientificWorldJournal, 2014;2014:960584.
    PMID: 25140350 DOI: 10.1155/2014/960584
    Cognitive radio (CR) enables unlicensed users (or secondary users, SUs) to sense for and exploit underutilized licensed spectrum owned by the licensed users (or primary users, PUs). Reinforcement learning (RL) is an artificial intelligence approach that enables a node to observe, learn, and make appropriate decisions on action selection in order to maximize network performance. Routing enables a source node to search for a least-cost route to its destination node. While there have been increasing efforts to enhance the traditional RL approach for routing in wireless networks, this research area remains largely unexplored in the domain of routing in CR networks. This paper applies RL in routing and investigates the effects of various features of RL (i.e., reward function, exploitation, and exploration, as well as learning rate) through simulation. New approaches and recommendations are proposed to enhance the features in order to improve the network performance brought about by RL to routing. Simulation results show that the RL parameters of the reward function, exploitation, and exploration, as well as learning rate, must be well regulated, and the new approaches proposed in this paper improves SUs' network performance without significantly jeopardizing PUs' network performance, specifically SUs' interference to PUs.
    Matched MeSH terms: Decision Making, Computer-Assisted
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