Oehler Caroline, Scholze Katharina, Driessen Pia, Rummel-Kluge Christine, Görges Frauke, Hegerl Ulrich
Depression Research Centre, German Depression Foundation, Goerdelerring 9, 04109 Leipzig, Germany.
Department of Psychiatry and Psychotherapy, University Leipzig, Semmelweisstraße 10, 04103 Leipzig, Germany.
Internet Interv. 2021 Nov 2;26:100476. doi: 10.1016/j.invent.2021.100476. eCollection 2021 Dec.
While the antidepressant efficacy of guided digital interventions has been proven in randomized controlled trials, findings from routine care are less clear. Low adherence rates are common and limit the potential effectiveness. Adherence has been linked to sociodemographic variables and the amount of guidance, but the role of the guide's profession and their work setting has not yet been studied for routine care.
Routinely collected log data from a digital intervention for depressed patients (iFightDepression tool) were analyzed in an exploratory manner. The sample is a convenience sample from routine care, where guidance is provided by general practitioners (GP), certified psychotherapists (PT) or medical doctors specialized in mental health. Log data from 2184 patients were analyzed and five usage parameters were extracted to measure adherence (first-to-last login, time on tool, number of sessions, workshops completed and minimal dose). Multiple logistic regression was used to analyze relations between the guide's profession and clinical context as well as other covariates and adherence and symptom change on a brief depression questionnaire (PHQ-9).
The analyses showed a significant relation of guide profession and adherence. Guidance by PT was associated to the highest adherence scores (reference category). The odds ratios (ORs) of scoring above the median in each usage parameter for patients guided by GPs were 0.50-0.63 (all ps < 0.002) and 0.61-0.80 (p = .002-0.197) for MH. Higher age, initial PHQ-9 score and self-reported diagnosis of depression were also significantly associated with higher adherence scores. In a subsample providing enough data on the PHQ-9 (n = 347), no association of guide profession with symptom reduction was found. Instead, a greater reduction was observed for patients with a higher baseline PHQ-9 (β = -0. 39, (341.75) = -8.814, p < .001) and for those who had achieved minimal dose (β = -2.42, (340.34) = -4.174, P < .001) and those who had achieved minimal dose and scored high on time on tool (β = 0.22, (341.75) = 1.965, P = .050).
Being guided by PT was associated with the highest adherence. The lowest adherence was observed in patients who were guided by GP. While no association of guide profession and symptom reduction was found in a subsample, greater adherence was associated with symptom reduction.
虽然在随机对照试验中已证明指导性数字干预措施具有抗抑郁疗效,但常规护理中的研究结果尚不清楚。低依从率很常见,限制了潜在效果。依从性与社会人口统计学变量和指导量有关,但指导者的职业及其工作环境在常规护理中的作用尚未得到研究。
以探索性方式分析了从针对抑郁症患者的数字干预措施(iFightDepression工具)中常规收集的日志数据。该样本是来自常规护理的便利样本,由全科医生(GP)、认证心理治疗师(PT)或精神卫生专科医生提供指导。分析了2184名患者的日志数据,并提取了五个使用参数来衡量依从性(首次登录到最后一次登录、在工具上的时间、会话次数、完成的工作坊以及最小剂量)。使用多元逻辑回归分析指导者的职业和临床背景以及其他协变量与依从性和简短抑郁问卷(PHQ-9)上的症状变化之间的关系。
分析显示指导者职业与依从性之间存在显著关系。PT提供的指导与最高的依从性得分相关(参考类别)。由GP指导的患者在每个使用参数中得分高于中位数的优势比(OR)为0.50 - 0.63(所有p < 0.002),由精神卫生专科医生指导的患者为0.61 - 0.80(p = 0.002 - 0.197)。年龄较大、初始PHQ-9得分较高以及自我报告的抑郁症诊断也与较高的依从性得分显著相关。在一个提供了足够PHQ-9数据的子样本(n = 347)中,未发现指导者职业与症状减轻之间的关联。相反,观察到基线PHQ-9较高的患者症状减轻幅度更大(β = -0.39,(341.75) = -8.814,p < 0.001),达到最小剂量的患者(β = -2.42,(340.34) = -4.174,P < 0.001)以及达到最小剂量且在工具上花费时间较长得分较高的患者(β = 0.22,(341.75) = 1.965,P = 0.050)。
由PT指导与最高的依从性相关。由GP指导的患者依从性最低。虽然在一个子样本中未发现指导者职业与症状减轻之间的关联,但更高的依从性与症状减轻相关。