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Record W4367043146 · doi:10.1016/j.ssmmh.2023.100217

Help-seeking for moderate to severe perinatal depression in Nigeria: Implications for a cultural-ecosocial approach to global mental health

2023· article· en· W4367043146 on OpenAlexafffund
Ademola Adeponle, Danielle Groleau, Oye Gureje, Laurence J. Kirmayer

Bibliographic record

VenueSSM - Mental Health · 2023
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsMcGill UniversityUniversity of Ottawa
FundersGrand Challenges Canada
KeywordsMental healthDepression (economics)PsychologyGlobal mental healthPsychiatryMedicineEnvironmental healthEconomics

Abstract

fetched live from OpenAlex

Perinatal depression is a major public health problem that is under-treated in low- and middle-income countries, with negative community attitudes often cited as a major barrier to help-seeking and treatment. In this paper, we investigate help-seeking for perinatal depression, some of whom may have experienced psychosis in the context of perinatal depression, and its cultural shaping in Nigeria. Our approach was informed by cultural constructivist and critical anthropological perspectives to situate perinatal depression in ecosocial context with systematic attention to the social-structural determinants. Help-seeking was controlled by caregivers, but patients and caregivers differed in their definitions of illness onset: caregivers focused on violation of norms for maternal behavior, whereas patients focused on somatic and psychological distress. Help-seeking entailed use of two different reasoning approaches. The default approach was ad-hoc and contingency-based, depending on: 1) the kinds of help immediately available and the fit with experiential knowledge; 2) the meanings of the patient's problem as negotiated in social interactions; 3) concerns about stigma that led to secrecy in seeking help; and 4) the perceived degree of immediate risk to safety. The second approach involved more explicit deliberation and took over in situations of uncertainty including: 1) worsening or unremitting illness despite treatment; 2) harm from treatment; and 3) perceived inadequacy of a treatment to bring about healing. Avoiding mental illness stigmatization was seen as dependent on limiting public awareness of the individual's affliction. The meanings of illness were locally informed and negotiated in ongoing social interactions and practices of social recognition and status negotiation that legitimated illness and influenced help-seeking. Clarifying the social context of mental health problems and identifying cultural and structural risk and protective factors can inform the design of health care systems to improve access to care and the development of culturally appropriate and effective intervention programmes.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.597
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.051
GPT teacher head0.400
Teacher spread0.349 · 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; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations3
Published2023
Admission routes2
Has abstractyes

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