Data-driven supervision to optimize the effectiveness of proactive case detection for mental health care among children: a proof-of-concept study.

IF 3.3 2区 医学 Q2 PSYCHIATRY
Global Mental Health Pub Date : 2024-12-20 eCollection Date: 2025-01-01 DOI:10.1017/gmh.2024.150
Myrthe van den Broek, M Claire Greene, Anthony F Guevara, Sandra Agondeze, Erimiah Kyanjo, Olivier Irakoze, Rosco Kasujja, Brandon A Kohrt, Mark J D Jordans
{"title":"Data-driven supervision to optimize the effectiveness of proactive case detection for mental health care among children: a proof-of-concept study.","authors":"Myrthe van den Broek, M Claire Greene, Anthony F Guevara, Sandra Agondeze, Erimiah Kyanjo, Olivier Irakoze, Rosco Kasujja, Brandon A Kohrt, Mark J D Jordans","doi":"10.1017/gmh.2024.150","DOIUrl":null,"url":null,"abstract":"<p><p>This proof-of-concept study evaluated an optimization strategy for the Community Case Detection Tool (CCDT) aimed at improving community-level mental health detection and help-seeking among children aged 6-18 years. The optimization strategy, CCDT+, combined data-driven supervision with motivational interviewing techniques and behavioural nudges for community gatekeepers using the CCDT. This mixed-methods study was conducted from January to May 2023 in Palorinya refugee settlement in Uganda. We evaluated (1) the added value of the CCDT+ in improving the accuracy of detection and mental health service utilization compared to standard CCDT, and (2) implementation outcomes of the CCDT+. Of the 1026 children detected, 801 (78%) sought help, with 656 needing mental health care (PPV = 0.82; 95% CI: 0.79, 0.84). The CCDT+ significantly increased detection accuracy, with 2.34 times higher odds compared to standard CCDT (95% CI: 1.41, 3.83). Additionally, areas using the CCDT+ had a 2.05-fold increase in mental health service utilization (95% CI: 1.09, 3.83). The CCDT+ shows promise as an embedded quality-optimization process for the detection of mental health problems among children and enhance help-seeking, potentially leading to more efficient use of mental health care resources.</p>","PeriodicalId":48579,"journal":{"name":"Global Mental Health","volume":"12 ","pages":"e4"},"PeriodicalIF":3.3000,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11810756/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Mental Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1017/gmh.2024.150","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0

Abstract

This proof-of-concept study evaluated an optimization strategy for the Community Case Detection Tool (CCDT) aimed at improving community-level mental health detection and help-seeking among children aged 6-18 years. The optimization strategy, CCDT+, combined data-driven supervision with motivational interviewing techniques and behavioural nudges for community gatekeepers using the CCDT. This mixed-methods study was conducted from January to May 2023 in Palorinya refugee settlement in Uganda. We evaluated (1) the added value of the CCDT+ in improving the accuracy of detection and mental health service utilization compared to standard CCDT, and (2) implementation outcomes of the CCDT+. Of the 1026 children detected, 801 (78%) sought help, with 656 needing mental health care (PPV = 0.82; 95% CI: 0.79, 0.84). The CCDT+ significantly increased detection accuracy, with 2.34 times higher odds compared to standard CCDT (95% CI: 1.41, 3.83). Additionally, areas using the CCDT+ had a 2.05-fold increase in mental health service utilization (95% CI: 1.09, 3.83). The CCDT+ shows promise as an embedded quality-optimization process for the detection of mental health problems among children and enhance help-seeking, potentially leading to more efficient use of mental health care resources.

求助全文
约1分钟内获得全文 求助全文
来源期刊
Global Mental Health
Global Mental Health PSYCHIATRY-
自引率
5.10%
发文量
58
审稿时长
25 weeks
期刊介绍: lobal Mental Health (GMH) is an Open Access journal that publishes papers that have a broad application of ‘the global point of view’ of mental health issues. The field of ‘global mental health’ is still emerging, reflecting a movement of advocacy and associated research driven by an agenda to remedy longstanding treatment gaps and disparities in care, access, and capacity. But these efforts and goals are also driving a potential reframing of knowledge in powerful ways, and positioning a new disciplinary approach to mental health. GMH seeks to cultivate and grow this emerging distinct discipline of ‘global mental health’, and the new knowledge and paradigms that should come from it.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信