Health economic design for cost, cost-effectiveness and simulation analyses in the HEALing Communities Study.
Health economic design for cost, cost-effectiveness and simulation analyses in the HEALing Communities Study.
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DOI：
10.1016/j.drugalcdep.2020.108336
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发表时间：
2020-12-01
影响因子：
4.2
通讯作者：
Zarkin GA
中科院分区：
文献类型：
--
作者：
Aldridge AP;Barbosa C;Barocas JA;Bush JL;Chhatwal J;Harlow KJ;Hyder A;Linas BP;McCollister KE;Morgan JR;Murphy SM;Savitzky C;Schackman BR;Seiber EE;E Starbird L;Villani J;Zarkin GA
The HEALing Communities Study (HCS) is designed to implement and evaluate the Communities That HEAL (CTH) intervention, a conceptually driven framework to assist communities in selecting and adopting evidence-based practices to reduce opioid overdose deaths. The goal of the HCS is to produce generalizable information for policy makers and community stakeholders seeking to implement CTH or a similar community intervention. To support this objective, one aim of the HCS is a health economics study (HES), the results of which will inform decisions around fiscal feasibility and sustainability relevant to other community settings. The HES is integrated into the HCS design: an unblinded, multisite, parallel arm, cluster randomized, wait list–controlled trial of the CTH intervention implemented in 67 communities in four U.S. states: Kentucky, Massachusetts, New York, and Ohio. The objectives of the HES are to estimate the economic costs to communities of implementing and sustaining CTH; estimate broader societal costs associated with CTH; estimate the cost-effectiveness of CTH for overdose deaths avoided; and use simulation modeling to evaluate the short- and long-term health and economic impact of CTH, including future overdose deaths avoided and quality-adjusted life years saved, and to develop a simulation policy tool for communities that seek to implement CTH or a similar community intervention. The HCS offers an unprecedented opportunity to conduct health economics research on solutions to the opioid crisis and to increase understanding of the impact and value of complex, community-level interventions.
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影响因子：
4.2
作者：
Sprague Martinez L;Rapkin BD;Young A;Freisthler B;Glasgow L;Hunt T;Salsberry PJ;Oga EA;Bennet-Fallin A;Plouck TJ;Drainoni ML;Freeman PR;Surratt H;Gulley J;Hamilton GA;Bowman P;Roeber CA;El-Bassel N;Battaglia T
通讯作者：
Battaglia T
影响因子：
3
作者：
Kuklinski MR;Fagan AA;Hawkins JD;Briney JS;Catalano RF
通讯作者：
Catalano RF
评估康复社区研究中实施环境和忠诚度的模型和方法。
影响因子：
4.2
作者：
Knudsen HK;Drainoni ML;Gilbert L;Huerta TR;Oser CB;Aldrich AM;Campbell ANC;Crable EL;Garner BR;Glasgow LM;Goddard-Eckrich D;Marks KR;McAlearney AS;Oga EA;Scalise AL;Walker DM
通讯作者：
Walker DM
影响因子：
6
作者：
Gisev, Natasa;Shanahan, Marian;Degenhardt, Louisa
通讯作者：
Degenhardt, Louisa
影响因子：
3.8
作者：
Dunlap, Laura J.;Orme, Stephen;Boudreaux, Edwin D.
通讯作者：
Boudreaux, Edwin D.