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2
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3
Predicting early dropout in online versus face-to-face guided self-help: A machine learning approach.预测在线与面对面引导自助治疗中的早期脱落:一种机器学习方法。
Behav Res Ther. 2022 Dec;159:104200. doi: 10.1016/j.brat.2022.104200. Epub 2022 Sep 17.
4
Family involvement in psychotherapy for depression in children and adolescents: Systematic review and meta-analysis.家庭参与儿童和青少年抑郁症心理治疗:系统评价和荟萃分析。
Psychol Psychother. 2022 Sep;95(3):656-679. doi: 10.1111/papt.12392. Epub 2022 Mar 14.
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Int J Eat Disord. 2022 Jan;55(1):145-150. doi: 10.1002/eat.23655. Epub 2021 Dec 14.
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Comparing efficacy of telehealth to in-person mental health care in intensive-treatment-seeking adults.比较远程心理健康护理与面对面心理健康护理对重症寻求治疗的成年人的疗效。
J Psychiatr Res. 2022 Jan;145:347-352. doi: 10.1016/j.jpsychires.2021.11.003. Epub 2021 Nov 3.
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8
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9
Telehealth Treatment of Patients in an Intensive Acute Care Psychiatric Setting During the COVID-19 Pandemic: Comparative Safety and Effectiveness to In-Person Treatment.COVID-19大流行期间在强化急性护理精神病环境中对患者进行远程医疗治疗:与面对面治疗相比的安全性和有效性
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Responding to COVID-19: New Trends in Social Workers' Use of Information and Communication Technology.应对新冠疫情:社会工作者使用信息通信技术的新趋势
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家庭治疗参与对青少年和青年在远程医疗强化门诊项目中的参与度和留存率的影响:质量改进分析

The Impact of Family Therapy Participation on Youths and Young Adult Engagement and Retention in a Telehealth Intensive Outpatient Program: Quality Improvement Analysis.

作者信息

Berry Katie R, Gliske Kate, Schmidt Clare, Ballard Jaime, Killian Michael, Fenkel Caroline

机构信息

Charlie Health, Inc, Bozeman, MT, United States.

University of Minnesota, St. Paul, MN, United States.

出版信息

JMIR Form Res. 2023 Apr 20;7:e45305. doi: 10.2196/45305.

DOI:10.2196/45305
PMID:37079372
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10160927/
Abstract

BACKGROUND

Early treatment dropout among youths and young adults (28%-75%) puts them at risk for poorer outcomes. Family engagement in treatment is linked to lower dropout and better attendance in outpatient, in-person treatment. However, this has not been studied in intensive or telehealth settings.

OBJECTIVE

We aimed to examine whether family members' participation in telehealth intensive outpatient (IOP) therapy for mental health disorders in youths and young adults is associated with patient's treatment engagement. A secondary aim was to assess demographic factors associated with family engagement in treatment.

METHODS

Data were collected from intake surveys, discharge outcome surveys, and administrative data for patients who attended a remote IOP for youths and young adults, nationwide. Data included 1487 patients who completed both intake and discharge surveys and either completed or disengaged from treatment between December 2020 and September 2022. Descriptive statistics were used to characterize the sample's baseline differences in demographics, engagement, and participation in family therapy. Mann-Whitney U and chi-square tests were used to explore differences in engagement and treatment completion between patients with and those without family therapy. Binomial regression was used to explore significant demographic predictors of family therapy participation and treatment completion.

RESULTS

Patients with family therapy had significantly better engagement and treatment completion outcomes than clients with no family therapy. Youths and young adults with ≥1 family therapy session were significantly more likely to stay in treatment an average of 2 weeks longer (median 11 weeks vs 9 weeks) and to attend a higher percentage of IOP sessions (median 84.38% vs 75.00%). Patients with family therapy were more likely to complete treatment than clients with no family therapy (608/731, 83.2% vs 445/752, 59.2%; P<.001). Different demographic variables were associated with an increased likelihood of participating in family therapy, including younger age (odds ratio 1.3) and identifying as heterosexual (odds ratio 1.4). After controlling for demographic factors, family therapy remained a significant predictor of treatment completion, such that each family therapy session attended was associated with a 1.4-fold increase in the odds of completing treatment (95% CI 1.3-1.4).

CONCLUSIONS

Youths and young adults whose families participate in any family therapy have lower dropout, greater length of stay, and higher treatment completion than those whose families do not participate in services in a remote IOP program. The findings of this quality improvement analysis are the first to establish a relationship between participation in family therapy and an increased engagement and retention in remote treatment for youths and young patients in IOP programing. Given the established importance of obtaining an adequate dosage of treatment, bolstering family therapy offerings is another tool that could contribute to the provision of care that better meets the needs of youths, young adults, and their families.

摘要

背景

青少年和青年(28%-75%)早期治疗中断会使他们面临预后较差的风险。家庭参与治疗与较低的治疗中断率以及更好的门诊面对面治疗出勤率相关。然而,在强化治疗或远程医疗环境中尚未对此进行研究。

目的

我们旨在研究家庭成员参与青少年和青年心理健康障碍的远程医疗强化门诊(IOP)治疗是否与患者的治疗参与度相关。第二个目的是评估与家庭参与治疗相关的人口统计学因素。

方法

从全国范围内参加青少年和青年远程IOP治疗的患者的入院调查、出院结果调查和管理数据中收集数据。数据包括1487名完成入院和出院调查且在2020年12月至2022年9月期间完成或中断治疗的患者。描述性统计用于描述样本在人口统计学、参与度和家庭治疗参与方面的基线差异。使用曼-惠特尼U检验和卡方检验来探讨接受和未接受家庭治疗的患者在参与度和治疗完成情况方面的差异。二项式回归用于探讨家庭治疗参与和治疗完成的显著人口统计学预测因素。

结果

接受家庭治疗的患者在参与度和治疗完成结果方面明显优于未接受家庭治疗的患者。接受≥1次家庭治疗的青少年和青年平均多接受治疗2周(中位数11周对9周)且参加IOP治疗课程的比例更高(中位数84.38%对75.00%)的可能性显著更高。接受家庭治疗的患者比未接受家庭治疗的患者更有可能完成治疗(6日8/731,83.2%对445/752,59.2%;P<0.001)。不同的人口统计学变量与参与家庭治疗的可能性增加相关,包括较年轻的年龄(优势比1.3)和自我认同为异性恋(优势比1.4)。在控制人口统计学因素后,家庭治疗仍然是治疗完成的显著预测因素,即每次参加家庭治疗课程与完成治疗的几率增加1.4倍相关(95%CI 1.3-1.4)。

结论

与家庭不参与远程IOP项目服务的青少年和青年相比,家庭参与任何家庭治疗的青少年和青年治疗中断率更低、住院时间更长且治疗完成率更高。这项质量改进分析的结果首次确立了家庭治疗参与与IOP项目中青少年和年轻患者远程治疗参与度和留存率提高之间的关系。鉴于获得足够治疗剂量的既定重要性,增加家庭治疗服务是另一种有助于提供更好满足青少年、青年及其家庭需求的护理的工具。