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Record W4400790622 · doi:10.1080/00207411.2024.2377754

Perspectives of mental health professionals on kinship care for persons with mental illness in Ghana

2024· article· en· W4400790622 on OpenAlexaff
Kwamina Abekah‐Carter, Mary Ayim, Ebenezer Cudjoe, Alhassan Abdullah, Marcus Yu-Lung Chiu

Bibliographic record

VenueInternational Journal of Mental Health · 2024
Typearticle
Languageen
FieldPsychology
TopicFamily Caregiving in Mental Illness
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsKinshipMental healthMental illnessMental health careKinship carePsychiatryPsychologyMedicineNursingSociology

Abstract

fetched live from OpenAlex

Globally, people with mental illness are more likely to present poor social, health and economic outcomes than the general population. While formal mental health services have been integral to the wellbeing of these vulnerable individuals, the relevance of kinship support in their lives cannot be overemphasized. Mental health practitioners play a crucial role in navigating the complex dynamics inherent in family relationships when mental illness is present. As such, their perspectives could shed light on the intricate dynamics of kinship care and emphasize the need for tailored interventions that address the diverse issues within familial contexts. In this qualitative study, the perspectives of twenty mental health professionals on kinship care for persons with severe and persistent mental illness in Ghana were explored. Data were gathered through in-depth interviews and were analyzed via content analysis. The mental health professionals mainly understood kinship care as nuclear and extended family members providing support to their ill relative, albeit mostly with reference to nuclear family support. While kinship was deemed relevant due to the bonds that tie family members, some drawbacks were noted. When working with patients and their families, mental health professionals are expected to assess the availability of kinship support from the patient’s perspective in collaboration with the family members before deciding whether to integrate kinship into their support services.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score0.854

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.029
GPT teacher head0.417
Teacher spread0.387 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations2
Published2024
Admission routes1
Has abstractyes

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