Evidence map›Paper›PMID 35083375›Full record

ArticleEthics, medicine, and public health2021

Addressing Mental Health Stigma in Low-Income and Middle-Income Countries: A New Frontier for Digital Mental Health.

John A Naslund, Davy Deng

Open access · greenAbstract read
In one paragraph

Article in Ethics, medicine, and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 5 pooled it
11.0field-weighted citation impact, top 1% 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.

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

42 citing papers in PubMed, 5 syntheses or guidelines pooled it, 83 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

2 authors at 1 institution in 1 country.

John A NaslundDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA.
Davy DengDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Harvard University · US

Funding

ESSENCE (Enabling translation of Science to Service to ENhance Depression CarE) Scale-UpU19MH113211 · NIMH · HARVARD MEDICAL SCHOOL · PI NASLUND, JOHN A, PATEL, VIKRAM H · 2017 to 2023
$3.7M
NIMH NIH HHS U19 MH113211
6 · The paper itself

Abstract

backgroundMental health stigma is a major barrier to seeking help, and leads to poor quality of life and social withdrawal for individuals living with mental illness. These concerns are especially severe in low-income and middle-income countries (LMICs) that face a disproportionate share of the global burden of mental illnesses. With growing access to digital technologies in LMICs, there may be new opportunities to address mental health stigma. This review considers the potential for emerging digital technologies to advance efforts to challenge mental health stigma in LMICs.

methodsPromising digital strategies to reduce mental health stigma were identified through searching the peer-reviewed literature. Drawing from the Mental Illness Stigma Framework, these studies of digital strategies were grouped into three categories: 1)

resultsThese three categories align with established stigma reduction programs. Digital strategies could expand the reach of or complement existing efforts. There are challenges with digital stigma reduction strategies, including the need for cultural adaptation of these programs to diverse contexts and settings, consideration of reliable measurement of mental health related stigma, and risks that digital media could perpetuate the spread of misinformation and exacerbate concerns pertaining to mental health stigma.

conclusionThis review highlights the promise of technology for addressing mental health stigma in LMICs. This is imperative in the face of growing demand for mental health services owing to the economic and social impacts of the COVID-19 pandemic, and the increasing reliance on digital platforms among individuals in most countries.

Indexed as

Digital technologyLow-income and middle-income countriesMental illnessStigma

Identifiers

PMID35083375
PMCPMC8786211
OpenAlexW3204505706

What OpenQuestion holds

Textmetadata
LicenceTDM
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.