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Feasibility and Efficacy of the Addition of Heart Rate Variability Biofeedback to a Remote Digital Health Intervention for Depression

机译:向远程数字健康干预抑制的远程数字健康干预的心率变化生物融合的可行性和功效

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摘要

A rise in the prevalence of depression underscores the need for accessible and effective interventions. The objectives of this study were to determine if the addition of a treatment component showing promise in treating depression, heart rate variability-biofeedback (HRV-B), to our original smartphone-based, 8-week digital intervention was feasible and whether patients in the HRV-B ("enhanced") intervention were more likely to experience clinically significant improvements in depressive symptoms than patients in our original ("standard") intervention. We used a quasi-experimental, non-equivalent (matched) groups design to compare changes in symptoms of depression in the enhanced group (n = 48) to historical outcome data from the standard group (n = 48). Patients in the enhanced group completed a total average of 3.86 h of HRV-B practice across 25.8 sessions, and were more likely to report a clinically significant improvement in depressive symptom score post-intervention than participants in the standard group, even after adjusting for differences in demographics and engagement between groups (adjusted OR 3.44, 95% CI [1.28-9.26], P = .015). Our findings suggest that adding HRV-B to an app-based, smartphone-delivered, remote intervention for depression is feasible and may enhance treatment outcomes.
机译:抑郁症患病率的增加强调了对可访问和有效的干预措施的需求。本研究的目的是确定添加治疗组分的治疗组分是否显示治疗抑郁症,心率变化 - 生物反馈(HRV-B),以我们原始的智能手机为基于8周的数字干预是可行的,是否患者HRV-B(“增强”)干预更可能在抑郁症状的临床上显着改善而不是我们原始的患者(“标准”)干预。我们使用了准实验性,非等效(匹配)组设计,以比较增强组(n = 48)的抑郁症状的变化,从标准组(n = 48)中的历史结果数据进行比较。增强群体的患者在25.8个会议上完成了3.86小时的3.86小时,并且更有可能在干预后抑郁症状评分的临床显着改善,而不是标准组的参与者,即使在调整差异后也是如此在人口统计数据和群体之间的参与(调整或3.44,95%CI [1.28-9.26],P = .015)。我们的研究结果表明,将HRV-B添加到基于应用的智能手机交付的远程干预的抑郁症是可行的,并且可以增强治疗结果。

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