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Record W4220865961 · doi:10.1017/s0144686x22000241

Activity limitations and participation restrictions among people with non-communicable diseases in Ghana

2022· article· en· W4220865961 on OpenAlexafffund
Emmanuel Banchani, Eric Y. Tenkorang, William K. Midodzi

Bibliographic record

VenueAgeing and Society · 2022
Typearticle
Languageen
FieldMedicine
TopicChronic Disease Management Strategies
Canadian institutionsMemorial University of Newfoundland
FundersMemorial University of Newfoundland
KeywordsStroke (engine)GerontologyNon-communicable diseaseMedicinePopulationEnvironmental healthPublic healthNursing

Abstract

fetched live from OpenAlex

Abstract Anecdotal evidence suggests that non-communicable diseases (NCDs) contribute substantially to mortality, morbidity and disability in Ghana. Nonetheless, no data are presently available on Ghanaians with disability from major NCDs, such as hypertension, diabetes and stroke. Using data from the 2007/2008 Ghana World Health Organization Study on Global Ageing and Adult Health (SAGE) and applying ordinary least squares techniques, the prevalence of and associations between activity limitations and participation restrictions in Ghanaians with NCDs are examined in the present study. The results show stroke is the major contributor to activity limitations and participation restrictions among the Ghanaian population with NCDs. The study results further revealed that respondents with higher education reported high levels of disability compared to those with no education. The results suggest that functioning can be restored by providing assistive technologies, such as wheelchairs, prosthetic limbs, walking aids, etc ., that can enhance participation of persons with disability in society.

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 score0.012
Threshold uncertainty score0.313

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.034
GPT teacher head0.290
Teacher spread0.256 · 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

Citations2
Published2022
Admission routes2
Has abstractyes

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