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  1. Fatokun O, Olawepo MN
    Int J Clin Pharm, 2016 Oct;38(5):1075-9.
    PMID: 27586371 DOI: 10.1007/s11096-016-0372-8
    Background Drugs listed on formularies are often subjected to a variety of utilization restriction measures. However, the degree of restriction is influenced by multiple factors, including the characteristics and attributes of the listed drugs. Objective To identify the factors that are associated with the levels of prescribing restriction on oncology formulary drugs in Malaysia. Setting Oncology formulary in Malaysia. Method The Malaysia Drug Code assigned to each of the drug products on the Malaysia Ministry of Health (MOH) drug formulary was used to identify oncology drugs belonging to WHO ATC class L (antineoplastic and immunomodulating agents). Main outcome measures Categories of prescribing restrictions, therapeutic class, drug type, administration mode, number of sources and the post-approval use period. Results Oncology drugs having a shorter post-approval use period (p 
    Matched MeSH terms: Pharmacopoeias as Topic/standards*
  2. Pettit JHS
    Trop Doct, 1977 Jul;7(3):107-10.
    PMID: 142324
    Matched MeSH terms: Pharmacopoeias as Topic*
  3. Permsuwan U, Chaiyakunapruk N, Dilokthornsakul P, Thavorn K, Saokaew S
    Appl Health Econ Health Policy, 2016 Jun;14(3):281-92.
    PMID: 26961276 DOI: 10.1007/s40258-016-0228-3
    BACKGROUND: Even though Insulin glargine (IGlar) has been available and used in other countries for more than a decade, it has not been adopted into Thai national formulary. This study aimed to evaluate the long-term cost effectiveness of IGlar versus neutral protamine Hagedorn (NPH) insulin in type 2 diabetes from the perspective of Thai Health Care System.

    METHODS: A validated computer simulation model (the IMS CORE Diabetes Model) was used to estimate the long-term projection of costs and clinical outcomes. The model was populated with published characteristics of Thai patients with type 2 diabetes. Baseline risk factors were obtained from Thai cohort studies, while relative risk reduction was derived from a meta-analysis study conducted by the Canadian Agency for Drugs and Technology in Health. Only direct costs were taken into account. Costs of diabetes management and complications were obtained from hospital databases in Thailand. Both costs and outcomes were discounted at 3 % per annum and presented in US dollars in terms of 2014 dollar value. Incremental cost-effectiveness ratio (ICER) was calculated. One-way and probabilistic sensitivity analyses were also performed.

    RESULTS: IGlar is associated with a slight gain in quality-adjusted life years (0.488 QALYs), an additional life expectancy (0.677 life years), and an incremental cost of THB119,543 (US$3522.19) compared with NPH insulin. The ICERs were THB244,915/QALY (US$7216.12/QALY) and THB176,525/life-year gained (LYG) (US$5201.09/LYG). The ICER was sensitive to discount rates and IGlar cost. At the acceptable willingness to pay of THB160,000/QALY (US$4714.20/QALY), the probability that IGlar was cost effective was less than 20 %.

    CONCLUSIONS: Compared to treatment with NPH insulin, treatment with IGlar in type 2 diabetes patients who had uncontrolled blood glucose with oral anti-diabetic drugs did not represent good value for money at the acceptable threshold in Thailand.

    Matched MeSH terms: Pharmacopoeias as Topic/standards
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