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Record W1884785936 · doi:10.3402/gha.v8.28955

Task shifting – Ghana's community mental health workers’ experiences and perceptions of their roles and scope of practice

2015· article· en· W1884785936 on OpenAlexaff
Vincent I. O. Agyapong, Akwasi Osei, Conor K. Farren, Éilish McAuliffe

Bibliographic record

VenueGlobal Health Action · 2015
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMental healthScope (computer science)PerceptionTask (project management)Community health workersPublic relationsPsychologyPolitical scienceSociologyEconomic growthMedicineEnvironmental healthPsychiatryHealth servicesPopulationManagement

Abstract

fetched live from OpenAlex

BACKGROUND: Because of the absence of adequate numbers of psychiatrists, the bulk of mental health care at the community level in Ghana is provided by community mental health workers (CMHWs). OBJECTIVE: To examine the role and scope of practice of CMHWs in Ghana from their own perspectives and to make recommendations to improve the care they provide. DESIGN: We conducted a cross-sectional survey of 164 CMHWs from all the 10 administrative regions of Ghana, comprising 71 (43.3%) community psychiatric nurses (CPNs), 19 (11.6%) clinical psychiatric officers (CPOs), and 74 (45.1%) community mental health officers (CMHOs). RESULTS: Overall, only 39 (23.8%) CMHWs worked closely with psychiatrists, 64 (39%) worked closely with social workers, 46 (28%) worked closely with psychologists and 13 (7.9%) worked closely with occupational therapists. A lower proportion of CMHOs worked closely with psychiatrists, psychologists, and social workers compared with CPOs and CPNs. There was no significant difference in the proportion of the different CMHW types who expressed confidence in their ability to diagnose any of the commonly named mental health conditions except personality disorders. However, a lower proportion of CMHOs than CPOs and CPNs expressed confidence in their ability to treat all the disorders. The CMHWs ranked schizophrenia as the most frequently treated mental health condition and there was no statistically significant difference in the reported frequency with which the three groups of CMHWs treated any of the mental health conditions. CONCLUSIONS: Mental health policy makers and coordinators need to thoroughly review the training curriculum and also evaluate the job descriptions of all CMHWs in Ghana to ensure that they are consistent with the demands and health-care needs of patients they care for in their communities. For example, as CMHOs and CPNs prescribe medication even though they are not expected to do so, it may be worth exploring the merits of including the prescription of common psychotropic medication in their training curriculum and job descriptions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.075
GPT teacher head0.463
Teacher spread0.388 · 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 source (direct Gemma or distilled Codex), 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

Citations42
Published2015
Admission routes1
Has abstractyes

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