Fiona Bhondoekhan , Yu Li , Benjamin D. Hallowell , Linda Mahoney , Mackenzie M. Daly , Jamieson Goulet , Francesca L. Beaudoin , Laura C. Chambers , Brandon D.L. Marshall
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Potential predictors were obtained from baseline questionnaires. Classification and regression trees (CART) were used to identify predictors of treatment engagement.</div></div><div><h3>Results</h3><div>In the ED, 323 and 325 participants received CPRS and LCSWs services, respectively, among whom 141 (43.7 %) and 137 (42.2 %) engaged in SUD treatment within 90 days post-discharge. For the CPRS group, predictors of treatment engagement included unhealthy alcohol use, prescription opioid or benzodiazepine use in past 6 months, and lifetime history of: unstable housing, barriers to treatment, bipolar disorder diagnosis, addiction treatment, and recovery services. In the LCSW group, predictors included health insurance, current pain, opioid overdose in past year, and lifetime history of anxiety disorder diagnosis and mental illness treatment. However, CART had low predictive accuracy (CPRS: 60.9 %, LCSW: 54.8 %).</div></div><div><h3>Conclusions</h3><div>Among ED patients at high risk of opioid overdose receiving behavioral services, 90-day SUD treatment engagement was high. Sociobehavioral and clinical patient characteristics did not accurately predict treatment engagement. Behavioral services should be offered to all ED patients at high risk of opioid overdose.</div></div>","PeriodicalId":72841,"journal":{"name":"Drug and alcohol dependence reports","volume":"13 ","pages":"Article 100287"},"PeriodicalIF":0.0000,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Engagement in substance use disorder treatment after an emergency department visit among persons at high risk of opioid overdose: A prediction analysis\",\"authors\":\"Fiona Bhondoekhan , Yu Li , Benjamin D. Hallowell , Linda Mahoney , Mackenzie M. Daly , Jamieson Goulet , Francesca L. Beaudoin , Laura C. Chambers , Brandon D.L. Marshall\",\"doi\":\"10.1016/j.dadr.2024.100287\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Certified peer recovery specialists (CPRS) and licensed clinical social workers (LCSWs) can facilitate substance use disorder (SUD) treatment engagement for emergency department (ED) patients at risk for overdose. Predictors of treatment engagement after such behavioral services are unknown.</div></div><div><h3>Methods</h3><div>This secondary analysis included Rhode Island ED patients at high risk for opioid overdose participating in a randomized controlled trial comparing the effectiveness of CPRS and LCSWs services (2018–2021). SUD treatment engagement within 90 days post-discharge was identified using statewide administrative data. Potential predictors were obtained from baseline questionnaires. Classification and regression trees (CART) were used to identify predictors of treatment engagement.</div></div><div><h3>Results</h3><div>In the ED, 323 and 325 participants received CPRS and LCSWs services, respectively, among whom 141 (43.7 %) and 137 (42.2 %) engaged in SUD treatment within 90 days post-discharge. For the CPRS group, predictors of treatment engagement included unhealthy alcohol use, prescription opioid or benzodiazepine use in past 6 months, and lifetime history of: unstable housing, barriers to treatment, bipolar disorder diagnosis, addiction treatment, and recovery services. In the LCSW group, predictors included health insurance, current pain, opioid overdose in past year, and lifetime history of anxiety disorder diagnosis and mental illness treatment. However, CART had low predictive accuracy (CPRS: 60.9 %, LCSW: 54.8 %).</div></div><div><h3>Conclusions</h3><div>Among ED patients at high risk of opioid overdose receiving behavioral services, 90-day SUD treatment engagement was high. Sociobehavioral and clinical patient characteristics did not accurately predict treatment engagement. 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引用次数: 0
摘要
背景经认证的同伴康复专家(CPRS)和持证临床社工(LCSW)可以促进有用药过量风险的急诊科(ED)患者参与药物使用障碍(SUD)治疗。方法这项二次分析包括罗德岛州急诊科阿片类药物过量高危患者,他们参与了一项随机对照试验,比较 CPRS 和 LCSWs 服务的有效性(2018-2021 年)。出院后 90 天内的 SUD 治疗参与情况通过全州范围内的行政数据进行确认。潜在的预测因素来自基线问卷。结果在 ED 中,分别有 323 名和 325 名参与者接受了 CPRS 和 LCSWs 服务,其中分别有 141 人(43.7%)和 137 人(42.2%)在出院后 90 天内接受了 SUD 治疗。对于 CPRS 组,参与治疗的预测因素包括不健康饮酒、过去 6 个月内使用处方类阿片或苯二氮卓类药物,以及终生经历:不稳定住房、治疗障碍、双相情感障碍诊断、成瘾治疗和康复服务。在 LCSW 组中,预测因素包括医疗保险、当前疼痛、过去一年阿片类药物过量,以及焦虑症诊断和精神疾病治疗的终生病史。结论在接受行为服务的阿片类药物过量高危急诊患者中,90 天 SUD 治疗参与率较高。患者的社会行为特征和临床特征并不能准确预测治疗参与度。应为所有阿片类药物过量高危急诊患者提供行为服务。
Engagement in substance use disorder treatment after an emergency department visit among persons at high risk of opioid overdose: A prediction analysis
Background
Certified peer recovery specialists (CPRS) and licensed clinical social workers (LCSWs) can facilitate substance use disorder (SUD) treatment engagement for emergency department (ED) patients at risk for overdose. Predictors of treatment engagement after such behavioral services are unknown.
Methods
This secondary analysis included Rhode Island ED patients at high risk for opioid overdose participating in a randomized controlled trial comparing the effectiveness of CPRS and LCSWs services (2018–2021). SUD treatment engagement within 90 days post-discharge was identified using statewide administrative data. Potential predictors were obtained from baseline questionnaires. Classification and regression trees (CART) were used to identify predictors of treatment engagement.
Results
In the ED, 323 and 325 participants received CPRS and LCSWs services, respectively, among whom 141 (43.7 %) and 137 (42.2 %) engaged in SUD treatment within 90 days post-discharge. For the CPRS group, predictors of treatment engagement included unhealthy alcohol use, prescription opioid or benzodiazepine use in past 6 months, and lifetime history of: unstable housing, barriers to treatment, bipolar disorder diagnosis, addiction treatment, and recovery services. In the LCSW group, predictors included health insurance, current pain, opioid overdose in past year, and lifetime history of anxiety disorder diagnosis and mental illness treatment. However, CART had low predictive accuracy (CPRS: 60.9 %, LCSW: 54.8 %).
Conclusions
Among ED patients at high risk of opioid overdose receiving behavioral services, 90-day SUD treatment engagement was high. Sociobehavioral and clinical patient characteristics did not accurately predict treatment engagement. Behavioral services should be offered to all ED patients at high risk of opioid overdose.