Nikita Gupta, Fabian Gardin, Thomas Berger, Wolfram Kawohl
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引用次数: 0
Abstract
Background: Blended therapy (BT) combines digital applications with face-to-face treatment and has become an increasingly important component of psychiatric care. Evidence indicates that BT can achieve outcomes comparable to or even superior to those of traditional face-to-face therapy. Despite certain advantages, routine implementation of BT remains challenging, and clinical practice suggests that while some inpatients engage with BT, many either discontinue early or do not initiate its use at all. To better understand these patterns, this multicentric, retrospective observational study investigates factors associated with noninitiation and dropout among inpatients who are offered BT.
Objective: In this study, data from 278 inpatients were analyzed to examine the influence of sociodemographic variables, comorbidities, and symptom severity on the uptake and continued use of BT. The objective was to identify predictors of noninitiation and dropout.
Methods: Multivariable logistic regression models were conducted to identify significant predictors of noninitiation and dropout among inpatients using the transdiagnostic, cognitive behavioral therapy-based electronic mental health platform Minddistrict, which offers modules targeting psychoeducation, cognitive restructuring, and behavioral activation. Data were collected from 2 psychiatric hospitals between January 2020 and May 2024. The sample consisted predominantly of patients diagnosed with depression (182/278, 65.7%) and posttraumatic stress disorder (61/278, 21.9%), alongside various comorbid conditions.
Results: The findings indicate distinct patterns of association for noninitiation and dropout. Of the 278 patients, only 5 (1.8%) completed all the assigned modules, and one-third of the patients never initiated the platform at all. Specifically, increasing age was linked to a lower risk of noninitiation (odds ratio [per year age difference] 0.98, 95% CI 0.96-1.00; P=.01), while the presence of a comorbid anxiety disorder was associated with a reduced risk of dropout (odds ratio 0.23, 95% CI 0.08-0.66; P=.007). Several variables showed no association with either noninitiation or dropout across all analyses, including sex, overall symptom severity, and certain comorbidities such as personality disorders and depression.
Conclusions: In this preselected inpatient sample, uptake of BT was very limited. Older age was associated with lower noninitiation, and comorbid anxiety disorders were associated with a lower likelihood of dropout. These findings may help inform future prospective studies on how BT can be introduced and supported more effectively in inpatient psychiatric care. As access to BT was granted selectively by therapists, the results should be interpreted as predictors of engagement within a selected sample rather than general predictors of BT uptake among all psychiatric inpatients.
背景:混合疗法(BT)将数字应用与面对面治疗相结合,已成为精神病学护理中越来越重要的组成部分。有证据表明,BT可以达到与传统面对面治疗相当甚至更好的结果。尽管有一定的优势,常规实施BT仍然具有挑战性,临床实践表明,虽然一些住院患者参与BT,但许多人要么早期停止使用,要么根本不开始使用。为了更好地了解这些模式,这项多中心、回顾性观察性研究调查了在接受BT治疗的住院患者中与不开始和退出相关的因素。目的:在这项研究中,分析了278名住院患者的数据,以检查社会人口学变量、合并症和症状严重程度对BT的吸收和继续使用的影响,目的是确定不开始和退出的预测因素。方法:采用跨诊断、基于认知行为治疗的电子心理健康平台Minddistrict,通过提供针对心理教育、认知重构和行为激活的模块,建立多变量logistic回归模型,以确定住院患者不开始和辍学的显著预测因素。数据收集于2020年1月至2024年5月期间的2家精神病院。样本主要由诊断为抑郁症(182/278,65.7%)和创伤后应激障碍(61/278,21.9%)的患者组成,并伴有各种合并症。结果:研究结果表明不同的模式关联的非启动和辍学。在278名患者中,只有5名(1.8%)完成了所有指定的模块,三分之一的患者根本没有开始使用该平台。具体来说,年龄的增加与不开始治疗的风险降低有关(比值比[年年龄差]0.98,95% CI 0.96-1.00; P= 0.01),而共病性焦虑症的存在与辍学风险降低有关(比值比0.23,95% CI 0.08-0.66; P= 0.007)。在所有的分析中,有几个变量显示与未开始或辍学无关,包括性别、总体症状严重程度和某些合并症,如人格障碍和抑郁症。结论:在这个预先选择的住院病人样本中,BT的摄取非常有限。年龄越大,不开始治疗的可能性越低,而共病性焦虑症与辍学的可能性越低有关。这些发现可能有助于为未来的前瞻性研究提供信息,研究如何在住院精神病护理中更有效地引入和支持BT。由于治疗师有选择地允许使用BT,因此结果应被解释为在选定样本中参与的预测因子,而不是所有精神科住院患者中使用BT的一般预测因子。