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Record W4407753655 · doi:10.3233/shti250020

Advancing Patient-Centered Care in Ghana’s Community Pharmacies: A Digital Health Approach

2025· article· en· W4407753655 on OpenAlexaff
Obed Ehoneah, Karim Keshavjee

Bibliographic record

VenueStudies in health technology and informatics · 2025
Typearticle
Languageen
FieldHealth Professions
TopicDiverse Scientific Research Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDigital healthPharmacyHealth careCommunity engagementChecklistHealth literacyBusinessStakeholderStakeholder engagementKnowledge managementNursingMedicinePublic relationsComputer sciencePsychology

Abstract

fetched live from OpenAlex

Community pharmacies in Ghana are essential healthcare access points but often focus only on dispensing medications, neglecting broader patient-centered care. This study identifies 21 key drivers of patient satisfaction through stakeholder engagement and proposes a three-part strategy to transform these pharmacies into healthcare hubs. The strategy integrates a digital health platform, a pharmacy performance assessment tool, and a cleaning and hygiene checklist to enhance service quality, accessibility, product availability, and patient engagement. By addressing challenges like digital literacy, infrastructure limitations, and staff training, this work provides insights for sustainable improvement and scalability in low-resource settings.

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)0.006
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0050.003
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.111
GPT teacher head0.488
Teacher spread0.376 · 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 designNot applicable
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

Citations0
Published2025
Admission routes1
Has abstractyes

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