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Record W2623959847 · doi:10.1177/2158244017710688

An Assessment of Care-Seeking Behavior in Asikuma-Odoben-Brakwa District: A Triple Pluralistic Health Sector Approach

2017· article· en· W2623959847 on OpenAlexaff
Prince M. Amegbor

Bibliographic record

VenueSAGE Open · 2017
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsQueen's University
Fundersnot available
KeywordsHealth careIndigenousPerceptionMedicinePsychologyNursingEconomic growth

Abstract

fetched live from OpenAlex

Discussions and studies on Ghana’s pluralistic health care system usually ignore or downplay self-care as a crucial sector in this system of care. In view of this, this study uses a triple sector approach of the pluralistic health care system as advocated by Kleinman to assess care-seeking behaviors of residents in the Asikuma-Odoben-Brakwa District (Ghana). The results of cross-tabulation analysis demonstrate that respondents’ general care–seeking behavior is different from the type of care sought for last illness before the study. Data for the study were obtained from 227 urban and rural respondents in the study district in 2013. The findings indicate that factors such as geographic location, health insurance, and perception of the cost of professional care had a bearing on residents’ general care–seeking behavior. However, age, sex, relationship status, economic status, and proximity to nearest biomedical care service influenced the type of treatment sought for last illness. The approach use of the study demonstrates that self-care remains a general avenue of care for residents, whereas in times of severe illness, respondents often rely on professional biomedical care. The use of professional indigenous care services is generally low due to the financial burden associated with its use.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.050
GPT teacher head0.419
Teacher spread0.368 · 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 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

Citations13
Published2017
Admission routes1
Has abstractyes

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