Evidence map›Paper›PMID 35570227›Full record

SynthesisEuropean child & adolescent psychiatry2024

Mental health literacy in children and adolescents in low- and middle-income countries: a mixed studies systematic review and narrative synthesis.

Laoise Renwick, Rebecca Pedley, Isobel Johnson, Vicky Bell, Karina Lovell, Penny Bee, Helen Brooks

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in European child & adolescent psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 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

51 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

7 authors.

Laoise RenwickDivision of Nursing, Midwifery and Social Work, Faculty of Medicine, Biology and Health, School of Health Sciences, University of Manchester, Room 6.304 Jean McFarlane Building, Oxford Road, Manchester, M13 9PL, UK. laoiserenwick@gmail.com.ORCID http://orcid.org/0000-0001-7060-4537
Rebecca PedleyDivision of Nursing, Midwifery and Social Work, Faculty of Medicine, Biology and Health, School of Health Sciences, University of Manchester, Room 6.304 Jean McFarlane Building, Oxford Road, Manchester, M13 9PL, UK.
Isobel JohnsonDivision of Nursing, Midwifery and Social Work, Faculty of Medicine, Biology and Health, School of Health Sciences, University of Manchester, Room 6.304 Jean McFarlane Building, Oxford Road, Manchester, M13 9PL, UK.
Vicky BellDivision of Nursing, Midwifery and Social Work, Faculty of Medicine, Biology and Health, School of Health Sciences, University of Manchester, Room 6.304 Jean McFarlane Building, Oxford Road, Manchester, M13 9PL, UK.
Karina LovellDivision of Nursing, Midwifery and Social Work, Faculty of Medicine, Biology and Health, School of Health Sciences, University of Manchester, Room 6.304 Jean McFarlane Building, Oxford Road, Manchester, M13 9PL, UK.
Penny BeeDivision of Nursing, Midwifery and Social Work, Faculty of Medicine, Biology and Health, School of Health Sciences, University of Manchester, Room 6.304 Jean McFarlane Building, Oxford Road, Manchester, M13 9PL, UK.
Helen BrooksDivision of Nursing, Midwifery and Social Work, Faculty of Medicine, Biology and Health, School of Health Sciences, University of Manchester, Room 6.304 Jean McFarlane Building, Oxford Road, Manchester, M13 9PL, UK.

Funding

Medical Research Council MR/R022151/1
6 · The paper itself

Abstract

Mental illnesses are the leading cause of disease burden among children and young people (CYP) globally. Low- and middle-income countries (LMIC) are disproportionately affected. Enhancing mental health literacy (MHL) is one way to combat low levels of help-seeking and effective treatment receipt. We aimed to synthesis evidence about knowledge, beliefs and attitudes of CYP in LMICs about mental illnesses, their treatments and outcomes, evaluating factors that can enhance or impede help-seeking to inform context-specific and developmentally appropriate understandings of MHL. Eight bibliographic databases were searched from inception to July 2020: PsycInfo, EMBASE, Medline (OVID), Scopus, ASSIA (ProQuest), SSCI, SCI (Web of Science) CINAHL PLUS, Social Sciences full text (EBSCO). 58 papers (41 quantitative, 13 qualitative, 4 mixed methods) representing 52 separate studies comprising 36,429 participants with a mean age of 15.3 [10.4-17.4], were appraised and synthesized using narrative synthesis methods. Low levels of recognition and knowledge about mental health problems and illnesses, pervasive levels of stigma and low confidence in professional healthcare services, even when considered a valid treatment option were dominant themes. CYP cited the value of traditional healers and social networks for seeking help. Several important areas were under-researched including the link between specific stigma types and active help-seeking and research is needed to understand more fully the interplay between knowledge, beliefs and attitudes across varied cultural settings. Greater exploration of social networks and the value of collaboration with traditional healers is consistent with promising, yet understudied, areas of community-based MHL interventions combining education and social contact.

Indexed as

Developing CountriesHealth Knowledge, Attitudes, PracticeHealth LiteracyMental DisordersAdolescentChildHumansMental HealthPatient Acceptance of Health CareSocial StigmaChildren and adolescentDisorder recognitionHelp-seekingMental health literacyPublic healthStigma

Identifiers

PMID35570227
PMCPMC11032284

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.