MétaCan
Menu
Back to cohort
Record W4392271781 · doi:10.1002/hsr2.1922

Social domains of poor mental health: A qualitative pilot study of community stakeholders’ understanding and demarcation of mental illness and its interpretations in rural Nigeria

2024· article· en· W4392271781 on OpenAlex
Saheed Akinmayọwa Lawal, Isaac Akinkunmi Adedeji, Adesola Ogunniyi, David C. Henderson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHealth Science Reports · 2024
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsSimon Fraser University
FundersFogarty International Center
KeywordsMental illnessMental healthIgboPsychologyFocus groupQualitative researchNursingPsychiatryMedicineSociologySocial science

Abstract

fetched live from OpenAlex

Background and Aims: Although previous studies on mental health/illness in Nigeria have explored knowledge and attitude of community members using quantitative approaches, few studies have engaged stakeholders within rural communities on the issue of mental illness using qualitative approaches. Community stakeholders play a critical role in influencing health behaviors. The objective of this pilot study was to explore community stakeholders' understanding and demarcation of mental illness, and its interpretations in a rural Nigerian town. This is with the aim of shaping stakeholders understanding of people when they experience mental distress within the community. Methods: The study was conducted in Ijebu-Igbo town of Ogun State in south-west Nigeria. In-depth interviews were conducted among two religious' leaders: a Pastor and an Imam, a traditional healer, a medical doctor, and a registered nurse, and a focus group discussion was held in a church with members of its advisory committee. Results: The findings showed that community stakeholders gave multiple interpretations of mental illness and many attribute mental illness to spiritual attack, ancestral curse, anger of the gods, and personal affliction (Ogun-Afowofa). This has been categorized as familial and individual attributes in this study which is part of the main themes derived. The study findings also show that the understanding of community members regarding the root causes of mental illness is somewhat vague based on their poor knowledge of mental illness. This is because of the various interpretations they gave to explain mental health is based on their cultural orientation, socialization, and belief system, and not based on any medical knowledge. Conclusion: This pilot study was conducted to justify the main study. There is therefore a need for health education interventions to enlighten and educate community stakeholders with requisite knowledge for better understanding and interpretation of mental illness. Also, through mental health education interventions, community members will gain clarity on what mental health is and what it is not.

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.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.153
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.328
GPT teacher head0.518
Teacher spread0.190 · 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