Under detection of depression in primary care settings in low and middle-income countries: A systematic review and meta-analysis

Author:

Fekadu AbebawORCID,Demissie Mekdes,Berhane Rahel,Medhin Girmay,Bitew Teserra,Hailemariam Maji,Minaye Abebaw,Habtamu Kassahun,Milkias Barkot,Petersen Inge,Patel Vikram,Cleare Anthony J,Mayston Rosie,Thornicroft Graham,Alem Atalay,Hanlon Charlotte,Prince Martin

Abstract

ABSTRACTObjectiveDepression is the commonest mental disorder in primary care but is poor identified. The objective of this review was to determine the level of detection of depression by primary care clinicians and its determinants in studies from low-and middle-income countries (LMICs).MethodsDesignSystematic review and meta-analysis. Review protocol was registered in the PROSPERO database (CRD42016039704).DatabasesPubMed, PsycINFO, Medline, EMBASE, LILAC and AJOL.Quality assessmentRisk of bias within studies evaluated with the Effective Public Health Practice Project (EPHPP).Synthesis“Gold standard” diagnosis for the purposes of this review were based on the 9-item Patient Health Questionnaire (PHQ-9; cutoff scores of 5 and 10), structured interview or expert diagnosis. Meta-analysis was conducted excluding studies on special populations. Analysis of pooled data were stratified by diagnostic approaches.ResultsA total of 2223 non-duplicate publications were screened. Ten publications, from two multi-country studies and eight single country studies, making 18 country level reports, were included. One of the multi-country studies used an enriched sample of screen positive participants. Overall methodological quality of the studies was good. Depression detection was 0.0% in five reports and <12% in another five. The pooled detection for two reports that used PHQ-9 at a cutoff point of 5 (combined sample size = 1426) was 3.9% (95% CI = 2.3%, 5.5%); in the four reports that used PHQ-9 cutoff score of 10 (combined sample size =5481), the pooled detection was 7.0% (95% CI = 3.9%, 10.2%). For the enriched sample, the pooled detection was 43.5 % (95% CI: 25.7%, 61.0%). Severity of depression and suicidality were significantly associated with detection.ConclusionsThe extremely low detection of depression by primary care clinicians poses a serious threat to scaling up mental healthcare in LMICs. Interventions to improve detection should be prioritized.Strength and limitation of studyThis is the first review of detection of depression in LMIC settingsThe review was comprehensive in terms of databases searchedScreening tools were used as gold standards, which may lead to overestimation of prevalence and underestimation of detectionThe small number of studies and the use of different instruments and cutoffpoints precluded exploration of sources of heterogeneityThe review does not include studies on distress or sub-threshold depression

Publisher

Cold Spring Harbor Laboratory

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3