Kendra J. Clark , Jill Viglione , Rodlescia Sneed , Niloofar Ramezani , Faye S. Taxman , Jennifer E. Johnson
{"title":"对涉及司法的人群进行药物使用和精神健康失调的逐级护理。","authors":"Kendra J. Clark , Jill Viglione , Rodlescia Sneed , Niloofar Ramezani , Faye S. Taxman , Jennifer E. Johnson","doi":"10.1016/j.josat.2024.209488","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><p>Justice-involved populations have dramatically higher rates of substance use disorders (SUD) and mental health disorders (MHD) compared to the general population. Despite high rates of SUD and MHD, treatment for this population is often limited and not evidence-based. The cascade of care model estimates drop-offs in the continuum of care from screening to identification of need, referral, care initiation, care engagement, and care completion. Recently, healthcare providers have utilized the cascade of care to improve the continuity of care for people with SUD and MHD in justice settings. The purpose of the current study is to 1) identify typologies that explain the proportion of new intakes that pass through each level of the cascade of care for SUD and MHD, and 2) describe agency-level factors that predict typology assignments and agency ability to assess client flow through the levels of the care cascade.</p></div><div><h3>Method</h3><p>Using Latent Class Analysis, we classify 791 agencies serving justice-involved individuals into typologies according to utilization of each stage in the mental health and substance cascades of care. Then, we examined county and agency characteristics that affect three stages of the cascade process: identification of need for behavioral health services, referrals to appropriate services, and treatment initiation. We build on previous work by exploring these patterns for both SUD and MHD treatment.</p></div><div><h3>Results</h3><p>The study identified four SUD/MHD treatment patterns: <em>Low Access</em>, <em>SUD-Focused</em>, <em>High Need-High Access</em>, and <em>Lower Need-High Access</em> classes. Factors influencing typology alignment include location, specialized staff availability, warm hand-off coordination, Medicaid reimbursement, and performance measure tracking. Thirty-nine percent (39 %) of agencies could not be classified because they were unable to report their rate of care along the cascade measures.</p></div><div><h3>Conclusion</h3><p>Focusing on factors influencing typology assignment can help counties in assessing service delivery, identifying barriers, and targeting areas for improvements in policies and practices, potentially facilitating long-term changes and overall improvement in the care of individuals with mental health and substance use disorders. Identification of these factors and typologies can improve mental health treatment and access in counties and agencies with large resource barriers or limited attention to mental health treatment.</p></div>","PeriodicalId":73960,"journal":{"name":"Journal of substance use and addiction treatment","volume":"167 ","pages":"Article 209488"},"PeriodicalIF":0.0000,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949875924002005/pdfft?md5=d0a0fd6ccdd81e9c0d0a08befc7e30ab&pid=1-s2.0-S2949875924002005-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Cascade of care for substance use and mental health disorders for justice-involved populations\",\"authors\":\"Kendra J. Clark , Jill Viglione , Rodlescia Sneed , Niloofar Ramezani , Faye S. Taxman , Jennifer E. 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The purpose of the current study is to 1) identify typologies that explain the proportion of new intakes that pass through each level of the cascade of care for SUD and MHD, and 2) describe agency-level factors that predict typology assignments and agency ability to assess client flow through the levels of the care cascade.</p></div><div><h3>Method</h3><p>Using Latent Class Analysis, we classify 791 agencies serving justice-involved individuals into typologies according to utilization of each stage in the mental health and substance cascades of care. Then, we examined county and agency characteristics that affect three stages of the cascade process: identification of need for behavioral health services, referrals to appropriate services, and treatment initiation. We build on previous work by exploring these patterns for both SUD and MHD treatment.</p></div><div><h3>Results</h3><p>The study identified four SUD/MHD treatment patterns: <em>Low Access</em>, <em>SUD-Focused</em>, <em>High Need-High Access</em>, and <em>Lower Need-High Access</em> classes. Factors influencing typology alignment include location, specialized staff availability, warm hand-off coordination, Medicaid reimbursement, and performance measure tracking. Thirty-nine percent (39 %) of agencies could not be classified because they were unable to report their rate of care along the cascade measures.</p></div><div><h3>Conclusion</h3><p>Focusing on factors influencing typology assignment can help counties in assessing service delivery, identifying barriers, and targeting areas for improvements in policies and practices, potentially facilitating long-term changes and overall improvement in the care of individuals with mental health and substance use disorders. 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引用次数: 0
摘要
导言:与普通人群相比,司法介入人群的药物使用失调症(SUD)和精神健康失调症(MHD)发病率要高得多。尽管吸毒成瘾和精神疾病的发病率很高,但对这一人群的治疗往往是有限的,而且并非以证据为基础。级联护理模式估计了从筛查到需求识别、转诊、护理启动、护理参与和护理完成的连续护理过程中的脱落情况。最近,医疗服务提供者利用级联护理改善了司法环境中对 SUD 和 MHD 患者的持续护理。本研究的目的是:1)确定类型,以解释通过治疗药物滥用和精神卫生疾病的级联护理各个级别的新入院患者的比例;2)描述机构层面的因素,以预测类型分配和机构评估客户通过级联护理各个级别的流动情况的能力:方法:利用潜类分析法,我们根据心理健康和药物级联护理各阶段的使用情况,将 791 家为涉案司法人员提供服务的机构划分为不同类型。然后,我们研究了影响级联过程三个阶段的县和机构特征:行为健康服务需求的识别、转介到适当服务以及治疗的启动。我们在以往工作的基础上,对 SUD 和 MHD 治疗的这些模式进行了探索:研究确定了四种 SUD/MHD 治疗模式:结果:研究确定了四种 SUD/MHD 治疗模式:低就诊率、以 SUD 为重点、高需求-高就诊率和低需求-高就诊率。影响类型调整的因素包括地点、专业人员的可用性、温暖的移交协调、医疗补助报销和绩效衡量跟踪。39%(39 %)的机构无法进行分类,因为它们无法报告其在级联措施方面的护理率:重点关注影响类型划分的因素,有助于各县评估服务提供情况、识别障碍并锁定政策和实践中需要改进的领域,从而有可能促进精神健康和药物使用障碍患者护理的长期变化和整体改善。对这些因素和类型的识别可以改善资源障碍较大或对心理健康治疗关注有限的县和机构的心理健康治疗和获取。
Cascade of care for substance use and mental health disorders for justice-involved populations
Introduction
Justice-involved populations have dramatically higher rates of substance use disorders (SUD) and mental health disorders (MHD) compared to the general population. Despite high rates of SUD and MHD, treatment for this population is often limited and not evidence-based. The cascade of care model estimates drop-offs in the continuum of care from screening to identification of need, referral, care initiation, care engagement, and care completion. Recently, healthcare providers have utilized the cascade of care to improve the continuity of care for people with SUD and MHD in justice settings. The purpose of the current study is to 1) identify typologies that explain the proportion of new intakes that pass through each level of the cascade of care for SUD and MHD, and 2) describe agency-level factors that predict typology assignments and agency ability to assess client flow through the levels of the care cascade.
Method
Using Latent Class Analysis, we classify 791 agencies serving justice-involved individuals into typologies according to utilization of each stage in the mental health and substance cascades of care. Then, we examined county and agency characteristics that affect three stages of the cascade process: identification of need for behavioral health services, referrals to appropriate services, and treatment initiation. We build on previous work by exploring these patterns for both SUD and MHD treatment.
Results
The study identified four SUD/MHD treatment patterns: Low Access, SUD-Focused, High Need-High Access, and Lower Need-High Access classes. Factors influencing typology alignment include location, specialized staff availability, warm hand-off coordination, Medicaid reimbursement, and performance measure tracking. Thirty-nine percent (39 %) of agencies could not be classified because they were unable to report their rate of care along the cascade measures.
Conclusion
Focusing on factors influencing typology assignment can help counties in assessing service delivery, identifying barriers, and targeting areas for improvements in policies and practices, potentially facilitating long-term changes and overall improvement in the care of individuals with mental health and substance use disorders. Identification of these factors and typologies can improve mental health treatment and access in counties and agencies with large resource barriers or limited attention to mental health treatment.