优化以社区为基础的干预措施以改善抑郁症治疗的求助:随机因子试验的研究方案。

IF 2 4区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
Trials Pub Date : 2025-08-16 DOI:10.1186/s13063-025-09014-2
Nagendra P Luitel, Brandon A Kohrt, Bishnu Lamichhane, Anvita Bhardwaj, Kamal Gautam, Mark Jd Jordans
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引用次数: 0

摘要

背景:抑郁症是一种常见的心理健康问题,可在初级和社区卫生保健机构中得到有效管理。然而,需要护理的人数与实际接受治疗的人数之间存在显著差距,其中低收入和中等收入国家的差距最大。尽管中低收入国家已努力通过解决供应方障碍来改善获得精神卫生服务的机会,但对需求方障碍的关注较少。在需求方面,污名化、消极态度和对现有服务认识有限等因素导致精神卫生服务利用不足。本议定书描述了一项基于社区的干预措施的有效成分研究,该干预措施旨在加强尼泊尔这个寻求心理健康治疗率较低的低收入国家对抑郁症护理的求助。方法:该研究将在尼泊尔东部的两个城市进行,采用多阶段优化策略(MOST)和2 × 3因子随机对照试验设计。女性社区卫生志愿者将接受培训,使用社区线人检测工具(一种经过验证的基于社区的主动病例检测策略)识别抑郁症患者,并随后实施旨在促进寻求抑郁症治疗帮助的“获得生命”干预措施。“获得生命”干预包括四个组成部分:(i)关于抑郁症的信息,(ii)对现有服务的认识,(iii)通过消除关于抑郁症的神话和事实来减少耻辱,以及(iv)生活转变的故事。该研究将针对成年人口,其资格标准包括年满18岁、居住在特定城市、达到CIDT抑郁阈值、提供同意和熟练掌握尼泊尔语。样本量为288人,主要结果是寻求帮助的行为。讨论:在这篇协议文件中,我们概述了MOST框架如何优化以社区为基础的干预措施,旨在改善抑郁症治疗的求助。这项研究的结果将指导决定是否继续进行完全随机对照试验或进行额外的优化研究以确定干预成分。试验注册:ClinicalTrials.gov NCT06574074。于2024年8月27日注册。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing a community-based intervention to improve help-seeking for depression care: study protocol for a randomized factorial trial.

Background: Depression is a common mental health issue that can be effectively managed in primary and community health care settings. However, there is a significant gap between the number of individuals in need of care and those who actually receive treatment, with the greatest gap in low- and middle-income countries (LMICs). Although efforts have been made in LMICs to improve access to mental health services by addressing supply-side barriers, there has been less attention to demand-side obstacles. On the demand side, factors such as stigma, negative attitudes, and limited awareness of available services lead to underutilization of mental health services. This protocol describes a study of active ingredients of a community-based intervention aimed at enhancing help-seeking for depression care in Nepal, a LMIC with low rates of mental health treatment seeking.

Methods: The study will take place in two municipalities in eastern Nepal, utilizing the Multiphase Optimization Strategy (MOST) with a 2 × 3 factorial randomized controlled trial design. Female Community Health Volunteers will be trained to identify individuals with depression using the Community Informant Detection Tool, a proven community-based strategy for proactive case detection, and subsequently implement the Gain Life intervention, which aims to promote help-seeking for depression care. The Gain Life intervention comprises four components: (i) information about depression, (ii) awareness of available services, (iii) stigma reduction by dispelling myths and facts about depression, and (iv) a life transformation story. The study will target the adult population, with eligibility criteria including being 18 years or older, residing in specific municipalities, meeting the CIDT threshold for depression, providing consent, and having proficiency in Nepali. The sample size will be 288, with the primary outcome being help-seeking behaviour.

Discussion: In this protocol paper, we outline how the MOST framework can optimize a community-based intervention aimed at improving help-seeking for depression care. The findings from this study will guide decisions on whether to proceed with a fully randomized controlled trial or conduct an additional optimization study to finalize the intervention components.

Trial registration: ClinicalTrials.gov NCT06574074. Registered on 27 August 2024.

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来源期刊
Trials
Trials 医学-医学:研究与实验
CiteScore
3.80
自引率
4.00%
发文量
966
审稿时长
6 months
期刊介绍: Trials is an open access, peer-reviewed, online journal that will encompass all aspects of the performance and findings of randomized controlled trials. Trials will experiment with, and then refine, innovative approaches to improving communication about trials. We are keen to move beyond publishing traditional trial results articles (although these will be included). We believe this represents an exciting opportunity to advance the science and reporting of trials. Prior to 2006, Trials was published as Current Controlled Trials in Cardiovascular Medicine (CCTCVM). All published CCTCVM articles are available via the Trials website and citations to CCTCVM article URLs will continue to be supported.
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