Real-world effectiveness of Motivational Enhancement for Engagement in Treatment (MEET) to improve substance use disorder care transitions

动机增强疗法(MEET)在改善物质使用障碍护理过渡方面的实际效果

阅读:1

Abstract

INTRODUCTION: Substance use disorder (SUD) treatment effectiveness relies on service continuity during care transitions (e.g., residential to outpatient). Motivational Enhancement for Engagement in Treatment (MEET) is a structured engagement-focused intervention designed to improve service utilization. This study tests the real-world effectiveness of MEET for individuals transitioning between SUD treatment settings. METHODS: Individuals receiving withdrawal management and residential SUD treatment in the San Diego County Behavioral Health Services Drug Medi-Cal Organized Delivery System between March 2021-January 2022 were included in this study. We used logistic regression via generalized estimating equations to calculate adjusted odds ratios (AORs) and 95 % confidence intervals (CIs) that accounted for clustering within treatment facilities and individuals, and stabilized inverse probability of treatment weighting (IPTW) of baseline covariates to assess the probability of connecting to step-down SUD treatment given intervention status (MEET or treatment as usual). We also assessed the probability of timely connection to step-down treatment (i.e., within 10 days of discharge). RESULTS: Of 10,011 participants in this quasi-experimental study, 141 (1.4 %) received MEET. Participants who received MEET were more likely to be connected to SUD treatment (AOR=1.79, 95 % CI: 1.11, 2.90) and of being connected in ≤ 10 days (AOR=1.65, 95 % CI: 1.01, 2.70) than participants who did not receive the intervention. CONCLUSIONS: Among individuals with a SUD, MEET demonstrated real-world effectiveness for improving connections to step-down care, with participants receiving the intervention having nearly twice the odds of timely connection. This indicates practical engagement-based interventions can improve SUD treatment continuity across care transitions.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。