Impacting Entry into Evidence-Based Supported Employment: A Population-Based Empirical Analysis of a Statewide Public Mental Health Program in Maryland.
Impacting Entry into Evidence-Based Supported Employment: A Population-Based Empirical Analysis of a Statewide Public Mental Health Program in Maryland.
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影响进入基于证据的支持性就业：马里兰州全州公共心理健康计划的基于人口的实证分析。
DOI：
10.1007/s10488-017-0827-9
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Gibbons,Brent
中科院分区：
文献类型：
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作者：
Salkever,David;Abrams,Michael;Baier,Kevin;Gibbons,Brent
我们使用离散时间生存回归研究了与严重精神疾病患者接受个人安置和支持（IPS）支持就业（SE）服务有关的两个实证问题：(1)客户特征对接受可能性的影响，以及(2)最近在一个州（马里兰州）为克服IPS-SE扩展障碍而采取的重大举措可能产生的影响。我们在2002-2010年期间对基于人口的医疗补助队列进行了纵向分析，提供了初步证据，证明各州的主动行动对SE接入率有积极影响，并证明了客户的诊断、以前的工作经历、健康和人口特征以及SE提供者的地理可及性对SE接入率有影响。
We use discrete-time survival regression to study two empirical issues relating to take-up of individual placement and support (IPS) supported employment (SE) services for persons with serious mental illness: (1) the influence of client characteristics on take-up probability, and (2) the possible impacts of a major recent initiative in one state (Maryland) to overcome barriers to IPS-SE expansion. Our longitudinal analysis of population-based Medicaid cohorts, during 2002–2010, provides tentative evidence of positive state initiative impacts on SE take-up rates, and evidence of effects on take-up for clients’ diagnoses, prior work-history, health and demographic characteristics, and geographic accessibility to SE providers.