疾病信念能预测基于网络的抑郁症筛查后抑郁症治疗的接受情况吗?DISCOVER随机对照试验的二次分析。

IF 4.9 0 PSYCHIATRY
Matthias Klee,Franziska Sikorski,Bernd Loewe,Sebastian Kohlmann
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引用次数: 0

摘要

背景:只有少数抑郁症患者接受治疗。除了系统层面的因素外,个人因素也可以解释迄今为止尚未接触但受影响的人群中抑郁症的检测和治疗之间的差距。目的:研究基于网络的抑郁症筛查后6个月,疾病信念(IB)对抑郁症治疗的预测价值。方法:这是对德国范围内的随机对照DISCOVER试验的二次分析,该试验调查了在未接受治疗且抑郁严重程度至少为中度(患者健康问卷≥10分)的受试者中进行基于网络的抑郁筛查后自动结果反馈的效果。IB作为抑郁症治疗接受的预测因子。符合条件的参与者至少18岁,报告德语熟练程度,并提供知情同意。在筛查(基线)时,使用改编版本的简短疾病感知问卷评估IB。在基线后6个月,通过自我报告心理治疗和/或抗抑郁药物的初始化来实施抑郁症治疗。根据研究分组调整分析结果。发现:我们分析了DISCOVER试验N=871名参与者提供的随访数据。IB表示更多的后果(OR (95% CI) 1.12(1.00至1.26)),更高的治疗控制(OR (95% CI) 1.19(1.11至1.29))和抑郁一致性疾病识别(OR (95% CI) 1.65(1.15至2.36))与基线后6个月抑郁症治疗预测概率相对增加56.8%相关。结论:结果表明,IB对未治疗人群的抑郁症治疗吸收有相当大的影响。临床意义sib可能反映了获得抑郁症治疗的相关障碍,同时也反映了促进未经治疗人群利用卫生服务的干预目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Do illness beliefs predict uptake of depression treatment after web-based depression screening? A secondary analysis of the DISCOVER RCT.
BACKGROUND Only a minority of those with depressive disorder receive treatment. Besides system-level factors, individual factors could account for the gap between detection and treatment of depression in so far unreached but affected populations. OBJECTIVE This study tests the predictive value of illness beliefs (IB) for the uptake of depression treatment 6 months after web-based depression screening. METHODS This is a secondary analysis of the randomised controlled Germany-wide DISCOVER trial that investigated the effects of automated results feedback following web-based depression screening in untreated participants with at least moderate depression severity (Patient Health Questionnaire ≥10 points). IB were examined as predictors of depression treatment uptake. Eligible participants were at least 18 years old, reported proficiency in German language, and provided informed consent. IB were assessed at the time of screening (baseline) with an adapted version of the Brief Illness Perception Questionnaire. Uptake of depression treatment was operationalised as self-reported initialisation of psychotherapy and/or antidepressant medication 6 months after baseline. Analyses were adjusted for study arm. FINDINGS Data from N=871 participants of the DISCOVER trial providing follow-up data were analysed. IB denoting more consequences (OR (95% CI) 1.12 (1.00 to 1.26)), higher treatment control (OR (95% CI) 1.19 (1.11 to 1.29)) and a depression-conforming illness identity (OR (95% CI) 1.65 (1.15 to 2.36)) were associated with up to 56.8% relative increase in predicted probability of depression treatment uptake 6 months after baseline. CONCLUSIONS Results suggest considerable effects of IB for depression treatment uptake in untreated populations. CLINICAL IMPLICATIONS IB could reflect relevant barriers in access to depression care and, concurrently, intervention targets to foster health service utilisation in untreated populations.
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CiteScore
6.80
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