Evidence map›Paper›PMID 31539373›Full record

ArticlePLoS medicine2019

Portrayals of mental illness, treatment, and relapse and their effects on the stigma of mental illness: Population-based, randomized survey experiment in rural Uganda.

Justin D Rasmussen, Bernard Kakuhikire, Charles Baguma, Scholastic Ashaba, Christine E Cooper-Vince, Jessica M Perkins, David R Bangsberg, Alexander C Tsai

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03656770 (Measuring Beliefs and Norms About Persons With Mental Illness in Rural Uganda), which is not on this map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 7% 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.

NCT03656770 nacompletednot on this map

Measuring Beliefs and Norms About Persons With Mental Illness in Rural Uganda: A Randomized Survey Experiment

TypeinterventionalSponsorMassachusetts General HospitalRan2016 to 2018Enrolled1,782ConditionsMental Illness, Schizophrenia, Bipolar Disorder, DepressionArmsSurvey questionnaire
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

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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

8 authors at 6 institutions in 3 countries.

Justin D RasmussenMassachusetts General Hospital, Boston, Massachusetts, United States of America.ORCID 0000-0001-7806-1805
Bernard KakuhikireMbarara University of Science and Technology, Mbarara, Uganda.ORCID 0000-0001-5346-4368
Charles BagumaMbarara University of Science and Technology, Mbarara, Uganda.
Scholastic AshabaMbarara University of Science and Technology, Mbarara, Uganda.
Christine E Cooper-VinceUniversity of Geneva, Geneva, Switzerland.ORCID 0000-0002-5043-6342
Jessica M PerkinsPeabody College, Vanderbilt University, Nashville, Tennessee, United States of America.ORCID 0000-0002-5475-8816
David R BangsbergMbarara University of Science and Technology, Mbarara, Uganda.
Alexander C TsaiMassachusetts General Hospital, Boston, Massachusetts, United States of America.ORCID 0000-0001-6397-7917
Mbarara University of Science and Technology · UGDuke University · USHarvard University · USPortland State University · USUniversity of Geneva · CHVanderbilt University · US

Funding

Social Networks, HIV Stigma, and the HIV Care Cascade in Rural UgandaR01MH113494 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI TSAI, ALEXANDER C · 2017 to 2021
$3.2M
Perceptions of Social Norms and Personal Propensity to Engage in HIV Testing: A Mixed Methods Study and Intervention in Rural UgandaK01MH115811 · NIMH · VANDERBILT UNIVERSITY · PI PERKINS, JESSICA M · 2018 to 2022
$857k
NIMH NIH HHS K01 MH115811NIMH NIH HHS R01 MH113494
6 · The paper itself

Abstract

backgroundMental illness stigma is a fundamental barrier to improving mental health worldwide, but little is known about how to durably reduce it. Understanding of mental illness as a treatable medical condition may influence stigmatizing beliefs, but available evidence to inform this hypothesis has been derived solely from high-income countries. We embedded a randomized survey experiment within a whole-population cohort study in rural southwestern Uganda to assess the extent to which portrayals of mental illness treatment effectiveness influence personal beliefs and perceived norms about mental illness and about persons with mental illness. METHODS AND

findingsStudy participants were randomly assigned to receive a vignette describing a typical woman (control condition) or one of nine variants describing a different symptom presentation (suggestive of schizophrenia, bipolar, or major depression) and treatment course (no treatment, treatment with remission, or treatment with remission followed by subsequent relapse). Participants then answered questions about personal beliefs and perceived norms in three domains of stigma: willingness to have the woman marry into their family, belief that she is receiving divine punishment, and belief that she brings shame on her family. We used multivariable Poisson and ordered logit regression models to estimate the causal effect of vignette treatment assignment on each stigma-related outcome. Of the participants randomized, 1,355 were successfully interviewed (76%) from November 2016 to June 2018. Roughly half of respondents were women (56%), half had completed primary school (57%), and two-thirds were married or cohabiting (64%). The mean age was 42 years. Across all types of mental illness and treatment scenarios, relative to the control vignette (22%-30%), substantially more study participants believed the woman in the vignette was receiving divine punishment (31%-54%) or believed she brought shame on her family (51%-73%), and most were unwilling to have her marry into their families (80%-88%). In multivariable Poisson regression models, vignette portrayals of untreated mental illness, relative to the control condition, increased the risk that study participants endorsed stigmatizing personal beliefs about mental illness and about persons with mental illness, irrespective of mental illness type (adjusted risk ratios [ARRs] varied from 1.7-3.1, all p < 0.001). Portrayals of effectively treated mental illness or treatment followed by subsequent relapse also increased the risk of responses indicating stigmatizing personal beliefs relative to control (ARRs varied from 1.5-3.0, all p < 0.001). The magnitudes of the estimates suggested that portrayals of initially effective treatment (whether followed by relapse or not) had little moderating influence on stigmatizing responses relative to vignettes portraying untreated mental illness. Responses to questions about perceived norms followed similar patterns. The primary limitations of this study are that the vignettes may have omitted context that could have influenced stigma and that generalizability beyond rural Uganda may be limited.

conclusionsIn a population-based, randomized survey experiment conducted in rural southwestern Uganda, portrayals of effectively treated mental illness did not appear to reduce endorsement of stigmatizing beliefs about mental illness or about persons with mental illness. These findings run counter to evidence from the United States. Further research is necessary to understand the relationship between mental illness treatment and stigmatizing attitudes in Uganda and other countries worldwide.

trial registrationThe experimental procedures for this study were registered with ClinicalTrials.gov as "Measuring Beliefs and Norms About Persons With Mental Illness" (NCT03656770).

Indexed as

Public OpinionRural PopulationStereotypingAdolescentAdultBlack PeopleFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMental DisordersMental HealthMiddle AgedPrejudiceRecurrenceReligion and Medicine

Identifiers

PMID31539373
PMCPMC6754129
OpenAlexW2974277829

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.