Evidence map›Paper›PMID 35167593›Full record

SynthesisPLoS medicine2022

The global gap in treatment coverage for major depressive disorder in 84 countries from 2000-2019: A systematic review and Bayesian meta-regression analysis.

Modhurima Moitra, Damian Santomauro, Pamela Y Collins, Theo Vos, Harvey Whiteford, Shekhar Saxena, Alize J Ferrari

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PLoS medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 171 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
171citing papers in PubMed, 15 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

171 citing papers in PubMed, 15 syntheses or guidelines pooled it.

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111 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Modhurima MoitraInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0001-8238-4906
Damian SantomauroInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-6630-5435
Pamela Y CollinsDepartment of Global Health, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0003-3956-448X
Theo VosInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-5690-5365
Harvey WhitefordInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America.
Shekhar SaxenaHarvard T H Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America.ORCID 0000-0001-9385-0212
Alize J FerrariInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-7863-9117

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe treatment coverage for major depressive disorder (MDD) is low in many parts of the world despite MDD being a major contributor to disability globally. Most existing reviews of MDD treatment coverage do not account for potential sources of study-level heterogeneity that contribute to variation in reported treatment rates. This study aims to provide a comprehensive review of the evidence and analytically quantify sources of heterogeneity to report updated estimates of MDD treatment coverage and gaps by location and treatment type between 2000 and 2019. METHODS AND

findingsA systematic review of the literature was conducted to identify relevant studies that provided data on treatment rates for MDD between January 1, 2000, and November 26, 2021, from 2 online scholarly databases PubMed and Embase. Cohort and cross-sectional studies were included if treatment rates pertaining to the last 12 months or less were reported directly or if sufficient information was available to calculate this along with 95% uncertainty intervals (UIs). Studies were included if they made use of population-based surveys that were representative of communities, countries, or regions under study. Studies were included if they used established diagnostic criteria to diagnose cases of MDD. Sample and methodological characteristics were extracted from selected studies. Treatment rates were modeled using a Bayesian meta-regression approach and adjusted for select covariates that quantified heterogeneity in the data. These covariates included age, sex, treatment type, location, and choice of MDD assessment tool. A total of 149 studies were included for quantitative analysis. Treatment coverage for health service use ranged from 51% [95% UI 20%, 82%] in high-income locations to 20% [95% UI 1%, 53%] in low- and lower middle-income locations. Treatment coverage for mental health service use ranged from 33% [95% UI 8%, 66%] in high-income locations to 8% [95% UI <1%, 36%] in low- and lower middle-income countries. Minimally adequate treatment (MAT) rates ranged from 23% [95% UI 2%, 55%] in high-income countries to 3% [95% UI <1%, 25%]) in low- and lower middle-income countries. A primary methodological limitation was the lack of sufficient data from low- and lower middle-income countries, which precluded our ability to provide more detailed treatment rate estimates.

conclusionsIn this study, we observed that the treatment coverage for MDD continues to be low in many parts of the world and in particular in low- and lower middle-income countries. There is a continued need for routine data collection that will help obtain more accurate estimates of treatment coverage globally.

Indexed as

Bayes TheoremGlobal Burden of DiseaseGlobal HealthHumansInsurance CoverageMajor Depressive DisorderRegression AnalysisTreatment Outcome

Identifiers

PMID35167593
PMCPMC8846511

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.