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  1. Heller PS
    Soc Sci Med, 1982;16(3):267-84.
    PMID: 7100978 DOI: 10.1016/0277-9536(82)90337-9
    This paper provides an empirical analysis of the determinants of the demand for medical services in Peninsular Malaysia. After elaborating a theoretical model of household demand for medical care in Section II an econometric model is specified and estimated in Sections III, IV, and V. The results indicate that total medical demand, as measured by the absolute volume of outpatient and inpatient consumption, is highly inelastic to the cash price and to the cost in time of utilization. Total medical demand is also inelastic with respect to income. Yet consumers are clearly responsive to the relative prices of alternative sources of medical care. Consumers are also sensitive to the way in which the time of utilization is spent, with high travel and treatment time causing reduced demand for services.
    Matched MeSH terms: Health Services Needs and Demand/economics*
  2. Morozova O, Crawford FW, Cohen T, Paltiel AD, Altice FL
    Addiction, 2020 Mar;115(3):437-450.
    PMID: 31478285 DOI: 10.1111/add.14797
    BACKGROUND AND AIMS: Although opioid agonist treatment (OAT) for opioid use disorder (OUD) is cost-effective in settings where the HIV epidemic is concentrated among people who inject drugs, OAT coverage in Ukraine remains far below internationally recommended targets. Scale-up is limited by both OAT availability and demand. This study aimed to evaluate the cost-effectiveness of a range of plausible OAT scale-up strategies in Ukraine incorporating the potential impact of treatment spillover and the real-world demand for addiction treatment.

    DESIGN, SETTING AND PARTICIPANTS: Ten-year horizon (2016-25) modeling study of opioid addiction epidemic and treatment that accommodated potential peer effects in opioid use initiation and supply-induced treatment demand in three Ukrainian cities: Kyiv, Mykolaiv and Lviv, comprising a simulated population of people at risk of and with OUD.

    MEASUREMENTS: Incremental cost per quality-adjusted life-year gained in the simulated population.

    FINDINGS: An estimated 12.2-, 2.4- and 13.4-fold OAT capacity increase over 2016 baseline capacity in Kyiv, Mykolaiv and Lviv, respectively, would be cost-effective at a willingness-to-pay of one per-capita gross domestic product (GDP) per quality-adjusted life-year gained. This result is robust to parametric and structural uncertainty. Even under the most ambitious capacity increase, OAT coverage (i.e. the proportion of people with OUD receiving OAT) over a 10-year modeling horizon would be 20, 11 and 17% in Kyiv, Mykolaiv and Lviv, respectively, owing to limited demand.

    CONCLUSIONS: It is estimated that a substantial increase in opioid agonist treatment (OAT) capacity in three Ukrainian cities would be cost-effective for a wide range of willingness-to-pay thresholds. Even a very ambitious capacity increase, however, is unlikely to reach internationally recommended coverage levels. Further increases in coverage may be limited by demand and would require addressing existing structural barriers to OAT access.

    Matched MeSH terms: Health Services Needs and Demand/economics*
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