Christopher Rowe, Arthur Robin Williams, Adam Bisaga
{"title":"在远程医疗环境下接受丁丙诺啡治疗的阿片类药物使用障碍患者康复资本的变化。","authors":"Christopher Rowe, Arthur Robin Williams, Adam Bisaga","doi":"10.1177/29767342241283174","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Medications for the treatment of opioid use disorder (MOUD) such as buprenorphine are the most effective treatment available for OUD; yet, beyond drug testing results and retention in care, systematically measured clinical outcomes have proven elusive. There is growing interest in integrating systematic monitoring of patient-reported outcomes and measurement-based care as strategies to improve patients' success in treatment.</p><p><strong>Methods: </strong>We analyzed changes in recovery capital assessed via the Brief Assessment of Recovery Capital (BARC-10) from baseline to 30-120 days post-intake among patients initiating buprenorphine treatment from May to October 2023 at Ophelia, a telehealth MOUD provider, who were retained for ≥90 days. Differences in baseline characteristics were assessed between patients with and without high \"remission-predictive\" baseline scores (≥47) using chi-squared and <i>t</i>-tests. Changes in scores from baseline to follow-up were assessed using paired <i>t</i>-tests.</p><p><strong>Results: </strong>In all, 791 patients initiated treatment during the study period, 742 (93.8%) of whom had a baseline BARC-10 score, 542 (73.0%) of whom were retained in treatment for ≥90 days, and 477 of whom (88.0%) had a follow-up BARC-10 score and represent the analysis sample. Older patients, those not requiring buprenorphine induction, and those not using heroin or fentanyl at intake were more likely to have remission-predictive baseline BARC-10 scores (<i>P</i> < .05). Patients with remission-predictive baseline scores (n = 257) had a mean increase of 1.4 (SD = 5.9) from 52.7 (SD = 4.1) (<i>P</i> < .001), and 234 (91%) sustained remission-predictive scores throughout the assessment period. Patients without remission-predictive baseline scores (n = 220) had a mean increase of 9.2 (SD = 8.2) from 38.4 (SD = 6.6) (<i>P</i> < .001), and 129 (59.0%) achieved a remission-predictive score at follow-up.</p><p><strong>Conclusions: </strong>Most patients had increased or sustained already high levels of recovery capital, an established predictor of sustained remission. Further research is required to better understand variability across patients and how it may relate to long-term outcomes.</p>","PeriodicalId":516535,"journal":{"name":"Substance use & addiction journal","volume":" ","pages":"112-119"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Changes in Recovery Capital Among Patients Receiving Buprenorphine Treatment for Opioid Use Disorder in a Telehealth Setting.\",\"authors\":\"Christopher Rowe, Arthur Robin Williams, Adam Bisaga\",\"doi\":\"10.1177/29767342241283174\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Medications for the treatment of opioid use disorder (MOUD) such as buprenorphine are the most effective treatment available for OUD; yet, beyond drug testing results and retention in care, systematically measured clinical outcomes have proven elusive. There is growing interest in integrating systematic monitoring of patient-reported outcomes and measurement-based care as strategies to improve patients' success in treatment.</p><p><strong>Methods: </strong>We analyzed changes in recovery capital assessed via the Brief Assessment of Recovery Capital (BARC-10) from baseline to 30-120 days post-intake among patients initiating buprenorphine treatment from May to October 2023 at Ophelia, a telehealth MOUD provider, who were retained for ≥90 days. Differences in baseline characteristics were assessed between patients with and without high \\\"remission-predictive\\\" baseline scores (≥47) using chi-squared and <i>t</i>-tests. Changes in scores from baseline to follow-up were assessed using paired <i>t</i>-tests.</p><p><strong>Results: </strong>In all, 791 patients initiated treatment during the study period, 742 (93.8%) of whom had a baseline BARC-10 score, 542 (73.0%) of whom were retained in treatment for ≥90 days, and 477 of whom (88.0%) had a follow-up BARC-10 score and represent the analysis sample. Older patients, those not requiring buprenorphine induction, and those not using heroin or fentanyl at intake were more likely to have remission-predictive baseline BARC-10 scores (<i>P</i> < .05). Patients with remission-predictive baseline scores (n = 257) had a mean increase of 1.4 (SD = 5.9) from 52.7 (SD = 4.1) (<i>P</i> < .001), and 234 (91%) sustained remission-predictive scores throughout the assessment period. Patients without remission-predictive baseline scores (n = 220) had a mean increase of 9.2 (SD = 8.2) from 38.4 (SD = 6.6) (<i>P</i> < .001), and 129 (59.0%) achieved a remission-predictive score at follow-up.</p><p><strong>Conclusions: </strong>Most patients had increased or sustained already high levels of recovery capital, an established predictor of sustained remission. 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引用次数: 0
摘要
背景:治疗阿片类药物使用障碍(MOUD)的药物(如丁丙诺啡)是目前治疗 OUD 最有效的方法;然而,除了药物检测结果和继续接受治疗的情况外,系统测量的临床结果一直难以获得。人们越来越关注将对患者报告结果的系统监测与基于测量的护理相结合,作为提高患者治疗成功率的策略:我们分析了 2023 年 5 月至 10 月期间在 Ophelia(一家 MOUD 远程医疗服务提供商)接受丁丙诺啡治疗且保留时间≥90 天的患者从基线到接受治疗后 30-120 天期间通过恢复资本简要评估(BARC-10)所评估的恢复资本的变化。采用卡方检验和 t 检验评估了基线 "缓解预测 "分数较高(≥47 分)的患者与基线分数较低的患者之间的基线特征差异。采用配对 t 检验评估从基线到随访期间得分的变化:在研究期间,共有 791 名患者开始接受治疗,其中 742 人(93.8%)有 BARC-10 基线评分,542 人(73.0%)治疗时间超过 90 天,477 人(88.0%)有 BARC-10 随访评分,他们是分析样本。年龄较大的患者、不需要丁丙诺啡诱导的患者以及入院时未使用海洛因或芬太尼的患者更有可能获得可预测病情缓解的基线 BARC-10 评分(P P P P 结论:大多数患者的 BARC-10 评分已升高或维持在较高水平(P P P 结论:大多数患者的 BARC-10 评分已升高或维持在较高水平):大多数患者的康复资本水平都有所提高或维持在较高水平,这是预测持续缓解的一个既定指标。要更好地了解患者之间的差异及其与长期疗效的关系,还需要进一步的研究。
Changes in Recovery Capital Among Patients Receiving Buprenorphine Treatment for Opioid Use Disorder in a Telehealth Setting.
Background: Medications for the treatment of opioid use disorder (MOUD) such as buprenorphine are the most effective treatment available for OUD; yet, beyond drug testing results and retention in care, systematically measured clinical outcomes have proven elusive. There is growing interest in integrating systematic monitoring of patient-reported outcomes and measurement-based care as strategies to improve patients' success in treatment.
Methods: We analyzed changes in recovery capital assessed via the Brief Assessment of Recovery Capital (BARC-10) from baseline to 30-120 days post-intake among patients initiating buprenorphine treatment from May to October 2023 at Ophelia, a telehealth MOUD provider, who were retained for ≥90 days. Differences in baseline characteristics were assessed between patients with and without high "remission-predictive" baseline scores (≥47) using chi-squared and t-tests. Changes in scores from baseline to follow-up were assessed using paired t-tests.
Results: In all, 791 patients initiated treatment during the study period, 742 (93.8%) of whom had a baseline BARC-10 score, 542 (73.0%) of whom were retained in treatment for ≥90 days, and 477 of whom (88.0%) had a follow-up BARC-10 score and represent the analysis sample. Older patients, those not requiring buprenorphine induction, and those not using heroin or fentanyl at intake were more likely to have remission-predictive baseline BARC-10 scores (P < .05). Patients with remission-predictive baseline scores (n = 257) had a mean increase of 1.4 (SD = 5.9) from 52.7 (SD = 4.1) (P < .001), and 234 (91%) sustained remission-predictive scores throughout the assessment period. Patients without remission-predictive baseline scores (n = 220) had a mean increase of 9.2 (SD = 8.2) from 38.4 (SD = 6.6) (P < .001), and 129 (59.0%) achieved a remission-predictive score at follow-up.
Conclusions: Most patients had increased or sustained already high levels of recovery capital, an established predictor of sustained remission. Further research is required to better understand variability across patients and how it may relate to long-term outcomes.