Evidence map›Paper›PMID 37554074›Full record

Trial reportGlobal health action2023

Depressive disorder at the household level: prevalence and correlates of depressive symptoms among household members.

Kondwani Mpinga, Temusa Rukundo, Owen Mwale, Myrrah Kamwiyo, Limbani Thengo, Todd Ruderman, Beatrice Matanje, Fabien Munyaneza, Emilia Connolly, Kazione Kulisewa and 4 more

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Global health action, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04777006 (Integrating a Stepped Care Model of Screening and Treatment for Depression Into Malawi's National HIV Care Delivery Platform), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
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.

NCT04777006 phase4completednot on this map

Integrating a Stepped Care Model of Screening and Treatment for Depression Into Malawi's National HIV Care Delivery Platform

TypeinterventionalSponsorRANDRan2021 to 2025Enrolled487ConditionsDepressive DisorderArmsProblem Management Plus, Antidepressant Therapy
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Observational
  2. Article
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

14 authors at 3 institutions in 2 countries.

Kondwani MpingaMonitoring and Evaluation, Medical Informatics, Information Technology and Research Department, Partners in Health, Neno, Malawi.ORCID 0009-0001-9086-3234
Temusa RukundoPardee RAND Graduate School, RAND Corporation, Santa Monica, CA, USA.
Owen MwaleClinical Department, Partners in Health, Neno, Malawi.
Myrrah KamwiyoClinical Department, Partners in Health, Neno, Malawi.
Limbani ThengoMonitoring and Evaluation, Medical Informatics, Information Technology and Research Department, Partners in Health, Neno, Malawi.ORCID 0000-0002-5067-9678
Todd RudermanClinical Department, Partners in Health, Neno, Malawi.
Beatrice MatanjeClinical Department, Partners in Health, Neno, Malawi.
Fabien MunyanezaMonitoring and Evaluation, Medical Informatics, Information Technology and Research Department, Partners in Health, Neno, Malawi.
Emilia ConnollyClinical Department, Partners in Health, Neno, Malawi.ORCID 0000-0002-1671-3190
Kazione KulisewaCollege of Medicine, Kamuzu University of Health Sciences, Blantyre, Malawi.
Michael UdediClinical Services, Ministry of Health, Lilongwe, Malawi.
Chiyembekezo KachimangaClinical Department, Partners in Health, Neno, Malawi.ORCID 0000-0003-3507-9591
Luckson DullieClinical Department, Partners in Health, Neno, Malawi.ORCID 0000-0002-2883-2429
Ryan McBainHealthcare Delivery, RAND Corporation, Washington, DC, USA.ORCID 0000-0003-0073-0348
RAND Corporation · USKamuzu Central Hospital · MWMinistry of Health · MW

Funding

Integrating a Stepped Care Model of Screening and Treatment for Depression into Malawi's National HIV Care Delivery PlatformR01MH117760 · NIMH · RAND CORPORATION · PI MCBAIN, RYAN K, WAGNER, GLENN JOHN · 2020 to 2024
$3.0M
NIMH NIH HHS R01 MH117760
6 · The paper itself

Abstract

backgroundGlobally, an estimated five percent of adults have major depressive disorder. However, little is known about the relationship between these individuals' depressive symptoms and their household members' mental health and well-being.

objectivesWe aimed to investigate the prevalence and predictors of depressive symptoms among adult household members of patients living with major depressive disorder in Neno District, Malawi.

methodsAs part of a cluster randomized controlled trial providing depression care to adults with major depressive disorder, we conducted surveys with patients' household members (

resultsWe observed that roughly one in five household members (19%) screened positive for a depressive disorder (PHQ-9 > 9). More than half of household members endorsed six or more of the nine symptoms, with 68% reporting feeling 'down, depressed, or hopeless' in the prior two weeks. Elevated depression symptom severity was associated with greater disability (β = 0.17,

conclusionsIn the Malawian context, we find that depressive disorder and depression symptoms are shared attributes among household members. This has implications for both screening and treatment, and it suggests that mental health should be approached from the vantage point of the broader social ecology of the household and family unit.

trial registrationClinicalTrials.gov (NCT04777006) - March 2, 2021.

Indexed as

DepressionMajor Depressive DisorderAdolescentAdultAgedAged, 80 and overFamily CharacteristicsFemaleHumansMaleMiddle AgedPrevalenceSocial Determinants of HealthSocial EnvironmentDepressiondepressive disorderepidemiologysocial determinantssocial ecology

Identifiers

PMID37554074
PMCPMC10413913
OpenAlexW4385684748

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.