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Record W4283162645 · doi:10.1007/s10597-022-00993-z

Community Health Workers and Stigma Associated with Mental Illness: An Integrative Literature Review

2022· review· en· W4283162645 on OpenAlexaff
Bruna Sordi Carrara, Sireesha J. Bobbili, Carla Aparecida Arena Ventura

Bibliographic record

VenueCommunity Mental Health Journal · 2022
Typereview
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
FundersConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsMental illnessMental healthStigma (botany)FeelingPsychologyMedicineNursingPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Community health workers (CHWs) are facilitators between health services and service users, providing essential and effective support to those seeking health care. However, stigmatizing attitudes towards people with mental illness also exist among CHWs and are based on prejudicial and biasedopinions. This integrative review critically assessed evidence regarding CHWs approaches for addressing mental health issues. In total, 19 studies were included in this review. The results revealed that CHWs have limited knowledge about mental illness and also stigmatizing attitudes towards people with mental illness or substance use problems. Despite feeling unprepared, CHWs are favorable resources for mental health care and can contribute to reducing stigma due to the similarities they share with the communities that they serve. Task-sharing between health professionals and CHWs is an important strategy to improve access to health services and reducing stigma towards people with mental illness, provided that receive adequate training to perform the duties.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.903
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0010.001
Science and technology studies0.0180.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.016
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.137
GPT teacher head0.485
Teacher spread0.348 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designOther design
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations18
Published2022
Admission routes1
Has abstractyes

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