初级保健中抑郁症合作护理的有效成分:个体参与者数据荟萃分析。

IF 22.5 1区 医学 Q1 PSYCHIATRY
Hannah Schillok, Jochen Gensichen, Maria Panagioti, Jane Gunn, Lukas Junker, Karoline Lukaschek, Caroline Jung-Sievers, Philipp Sterner, Lukas Kaupe, Tobias Dreischulte, Mohammed K Ali, Enric Aragonès, David B Bekelman, Birgit Herbeck Belnap, Robert M Carney, Lydia A Chwastiak, Peter A Coventry, Karina W Davidson, Maria L Ekstrand, Alison Flehr, Susan Fletcher, Lars P Hölzel, Klaas Huijbregts, Viswanathan Mohan, Vikram Patel, David A Richards, Bruce L Rollman, Chris Salisbury, Gregory E Simon, Krishnamachari Srinivasan, Jürgen Unützer, Kenneth B Wells, Thomas Zimmermann, Markus Bühner
{"title":"初级保健中抑郁症合作护理的有效成分:个体参与者数据荟萃分析。","authors":"Hannah Schillok, Jochen Gensichen, Maria Panagioti, Jane Gunn, Lukas Junker, Karoline Lukaschek, Caroline Jung-Sievers, Philipp Sterner, Lukas Kaupe, Tobias Dreischulte, Mohammed K Ali, Enric Aragonès, David B Bekelman, Birgit Herbeck Belnap, Robert M Carney, Lydia A Chwastiak, Peter A Coventry, Karina W Davidson, Maria L Ekstrand, Alison Flehr, Susan Fletcher, Lars P Hölzel, Klaas Huijbregts, Viswanathan Mohan, Vikram Patel, David A Richards, Bruce L Rollman, Chris Salisbury, Gregory E Simon, Krishnamachari Srinivasan, Jürgen Unützer, Kenneth B Wells, Thomas Zimmermann, Markus Bühner","doi":"10.1001/jamapsychiatry.2025.0183","DOIUrl":null,"url":null,"abstract":"<p><strong>Importance: </strong>Collaborative care is a multicomponent intervention for patients with chronic disease in primary care. Previous meta-analyses have proven the effectiveness of collaborative care for depression; however, individual participant data (IPD) are needed to identify which components of the intervention are the principal drivers of this effect.</p><p><strong>Objective: </strong>To assess which components of collaborative care are the biggest drivers of its effectiveness in reducing symptoms of depression in primary care.</p><p><strong>Data sources: </strong>Data were obtained from MEDLINE, Embase, Cochrane Library, PubMed, and PsycInfo as well as references of relevant systematic reviews. Searches were conducted in December 2023, and eligible data were collected until March 14, 2024.</p><p><strong>Study selection: </strong>Two reviewers assessed for eligibility. Randomized clinical trials comparing the effect of collaborative care and usual care among adult patients with depression in primary care were included.</p><p><strong>Data extraction and synthesis: </strong>The study was conducted according to the IPD guidance of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guideline. IPD were collected for demographic characteristics and depression outcomes measured at baseline and follow-ups from the authors of all eligible trials. Using IPD, linear mixed models with random nested effects were calculated.</p><p><strong>Main outcomes and measures: </strong>Continuous measure of depression severity was assessed via validated self-report instruments at 4 to 6 months and was standardized using the instrument's cutoff value for mild depression.</p><p><strong>Results: </strong>A total of 35 datasets with 38 comparisons were analyzed (N = 20 046 participants [57.3% of all eligible, with minimal differences in baseline characteristics compared with nonretrieved data]; 13 709 [68.4%] female; mean [SD] age, 50.8 [16.5] years). A significant interaction effect with the largest effect size was found between the depression outcome and the collaborative care component therapeutic treatment strategy (-0.07; P < .001). This indicates that this component, including its key elements manual-based psychotherapy and family involvement, was the most effective component of the intervention. Significant interactions were found for all other components, but with smaller effect sizes.</p><p><strong>Conclusions and relevance: </strong>Components of collaborative care most associated with improved effectiveness in reducing depressive symptoms were identified. To optimize treatment effectiveness and resource allocation, a therapeutic treatment strategy, such as manual-based psychotherapy or family integration, may be prioritized when implementing a collaborative care intervention.</p>","PeriodicalId":14800,"journal":{"name":"JAMA Psychiatry","volume":" ","pages":""},"PeriodicalIF":22.5000,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11947969/pdf/","citationCount":"0","resultStr":"{\"title\":\"Effective Components of Collaborative Care for Depression in Primary Care: An Individual Participant Data Meta-Analysis.\",\"authors\":\"Hannah Schillok, Jochen Gensichen, Maria Panagioti, Jane Gunn, Lukas Junker, Karoline Lukaschek, Caroline Jung-Sievers, Philipp Sterner, Lukas Kaupe, Tobias Dreischulte, Mohammed K Ali, Enric Aragonès, David B Bekelman, Birgit Herbeck Belnap, Robert M Carney, Lydia A Chwastiak, Peter A Coventry, Karina W Davidson, Maria L Ekstrand, Alison Flehr, Susan Fletcher, Lars P Hölzel, Klaas Huijbregts, Viswanathan Mohan, Vikram Patel, David A Richards, Bruce L Rollman, Chris Salisbury, Gregory E Simon, Krishnamachari Srinivasan, Jürgen Unützer, Kenneth B Wells, Thomas Zimmermann, Markus Bühner\",\"doi\":\"10.1001/jamapsychiatry.2025.0183\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Importance: </strong>Collaborative care is a multicomponent intervention for patients with chronic disease in primary care. Previous meta-analyses have proven the effectiveness of collaborative care for depression; however, individual participant data (IPD) are needed to identify which components of the intervention are the principal drivers of this effect.</p><p><strong>Objective: </strong>To assess which components of collaborative care are the biggest drivers of its effectiveness in reducing symptoms of depression in primary care.</p><p><strong>Data sources: </strong>Data were obtained from MEDLINE, Embase, Cochrane Library, PubMed, and PsycInfo as well as references of relevant systematic reviews. Searches were conducted in December 2023, and eligible data were collected until March 14, 2024.</p><p><strong>Study selection: </strong>Two reviewers assessed for eligibility. Randomized clinical trials comparing the effect of collaborative care and usual care among adult patients with depression in primary care were included.</p><p><strong>Data extraction and synthesis: </strong>The study was conducted according to the IPD guidance of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guideline. IPD were collected for demographic characteristics and depression outcomes measured at baseline and follow-ups from the authors of all eligible trials. Using IPD, linear mixed models with random nested effects were calculated.</p><p><strong>Main outcomes and measures: </strong>Continuous measure of depression severity was assessed via validated self-report instruments at 4 to 6 months and was standardized using the instrument's cutoff value for mild depression.</p><p><strong>Results: </strong>A total of 35 datasets with 38 comparisons were analyzed (N = 20 046 participants [57.3% of all eligible, with minimal differences in baseline characteristics compared with nonretrieved data]; 13 709 [68.4%] female; mean [SD] age, 50.8 [16.5] years). A significant interaction effect with the largest effect size was found between the depression outcome and the collaborative care component therapeutic treatment strategy (-0.07; P < .001). This indicates that this component, including its key elements manual-based psychotherapy and family involvement, was the most effective component of the intervention. Significant interactions were found for all other components, but with smaller effect sizes.</p><p><strong>Conclusions and relevance: </strong>Components of collaborative care most associated with improved effectiveness in reducing depressive symptoms were identified. To optimize treatment effectiveness and resource allocation, a therapeutic treatment strategy, such as manual-based psychotherapy or family integration, may be prioritized when implementing a collaborative care intervention.</p>\",\"PeriodicalId\":14800,\"journal\":{\"name\":\"JAMA Psychiatry\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":22.5000,\"publicationDate\":\"2025-03-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11947969/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JAMA Psychiatry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1001/jamapsychiatry.2025.0183\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHIATRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JAMA Psychiatry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1001/jamapsychiatry.2025.0183","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0

摘要

重要性:协作护理是一种多成分干预慢性疾病患者的初级保健。先前的荟萃分析已经证明了协作治疗抑郁症的有效性;然而,需要个体参与者数据(IPD)来确定干预的哪些组成部分是这种效果的主要驱动因素。目的:评估协作护理的哪些组成部分是其在减轻初级保健中抑郁症症状的有效性的最大驱动因素。数据来源:数据来源于MEDLINE、Embase、Cochrane Library、PubMed、PsycInfo以及相关系统综述的参考文献。搜索于2023年12月进行,直到2024年3月14日才收集到合格的数据。研究选择:两名审稿人评估其资格。包括比较协作护理和常规护理对初级保健成年抑郁症患者效果的随机临床试验。数据提取和综合:本研究是根据IPD指南的首选报告项目进行的系统评价和荟萃分析报告指南。收集所有符合条件的试验的作者在基线和随访时的人口统计学特征和抑郁结果。利用IPD,计算了具有随机嵌套效应的线性混合模型。主要结果和测量方法:在4至6个月时,通过有效的自我报告工具评估抑郁严重程度的持续测量,并使用该工具的轻度抑郁临界值进行标准化。结果:共分析了35个数据集,38个比较(N = 20 046名参与者[占所有符合条件的57.3%,基线特征与未检索数据相比差异极小];13 709[68.4%]女性;平均[SD]年龄,50.8[16.5]岁)。抑郁结局与协同护理成分治疗策略之间存在显著交互效应,且效应量最大(-0.07;结论和相关性:确定了与改善抑郁症状的有效性最相关的协作护理组成部分。为了优化治疗效果和资源分配,在实施协作护理干预时,可能会优先考虑治疗策略,如基于手册的心理治疗或家庭整合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effective Components of Collaborative Care for Depression in Primary Care: An Individual Participant Data Meta-Analysis.

Importance: Collaborative care is a multicomponent intervention for patients with chronic disease in primary care. Previous meta-analyses have proven the effectiveness of collaborative care for depression; however, individual participant data (IPD) are needed to identify which components of the intervention are the principal drivers of this effect.

Objective: To assess which components of collaborative care are the biggest drivers of its effectiveness in reducing symptoms of depression in primary care.

Data sources: Data were obtained from MEDLINE, Embase, Cochrane Library, PubMed, and PsycInfo as well as references of relevant systematic reviews. Searches were conducted in December 2023, and eligible data were collected until March 14, 2024.

Study selection: Two reviewers assessed for eligibility. Randomized clinical trials comparing the effect of collaborative care and usual care among adult patients with depression in primary care were included.

Data extraction and synthesis: The study was conducted according to the IPD guidance of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guideline. IPD were collected for demographic characteristics and depression outcomes measured at baseline and follow-ups from the authors of all eligible trials. Using IPD, linear mixed models with random nested effects were calculated.

Main outcomes and measures: Continuous measure of depression severity was assessed via validated self-report instruments at 4 to 6 months and was standardized using the instrument's cutoff value for mild depression.

Results: A total of 35 datasets with 38 comparisons were analyzed (N = 20 046 participants [57.3% of all eligible, with minimal differences in baseline characteristics compared with nonretrieved data]; 13 709 [68.4%] female; mean [SD] age, 50.8 [16.5] years). A significant interaction effect with the largest effect size was found between the depression outcome and the collaborative care component therapeutic treatment strategy (-0.07; P < .001). This indicates that this component, including its key elements manual-based psychotherapy and family involvement, was the most effective component of the intervention. Significant interactions were found for all other components, but with smaller effect sizes.

Conclusions and relevance: Components of collaborative care most associated with improved effectiveness in reducing depressive symptoms were identified. To optimize treatment effectiveness and resource allocation, a therapeutic treatment strategy, such as manual-based psychotherapy or family integration, may be prioritized when implementing a collaborative care intervention.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
JAMA Psychiatry
JAMA Psychiatry PSYCHIATRY-
CiteScore
30.60
自引率
1.90%
发文量
233
期刊介绍: JAMA Psychiatry is a global, peer-reviewed journal catering to clinicians, scholars, and research scientists in psychiatry, mental health, behavioral science, and related fields. The Archives of Neurology & Psychiatry originated in 1919, splitting into two journals in 1959: Archives of Neurology and Archives of General Psychiatry. In 2013, these evolved into JAMA Neurology and JAMA Psychiatry, respectively. JAMA Psychiatry is affiliated with the JAMA Network, a group of peer-reviewed medical and specialty publications.
×
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