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Record W3168420987 · doi:10.1016/j.jtumed.2021.03.009

Impact of an educational training program on pharmacists’ documentation practice at a teaching hospital

2021· article· en· W3168420987 on OpenAlexaff
Ali Elbeddini, Yasamin Tayefehchamani, Ahmed Elshahawi, Zekiye Yılmaz, Josiah J. Villegas

Bibliographic record

VenueJournal of Taibah University Medical Sciences · 2021
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDocumentationMedicinePharmacistChartTest (biology)Session (web analytics)Pharmaceutical careQuality managementQuality (philosophy)Family medicinePatient careNursingPharmacyOperations managementComputer scienceStatistics

Abstract

fetched live from OpenAlex

OBJECTIVES: This study aims to determine the impact of an educational training program on the quantity and quality of the pharmacists' documentation practice at the Winchester District Memorial Hospital. METHODS: This study is a part of an evaluation for continuous quality improvement, performed applying a pre- and post-test model. The primary endpoint was the number of Pharmacists' Patient-Care Records in patient charts with the listed action codes. Charts of 80 patients were surveyed at three points (two months before and one and three months after the sessions) for 240 charts. Additionally, a pre- and post-educational questionnaire was administered using case scenarios and the Pharmacists' Patient-Care Record code system. RESULTS: The number of charts containing Pharmacists' Patient-Care Records with Action Codes listed is 70%, 73%, and 64% in the first, second, and third chart review rounds, respectively. According to the pre- and post-educational session questionnaire, the average score per pharmacist is 47% and 73%, respectively. CONCLUSION: The initial estimate of the documentation practice is 50% or less, which is an underestimation. Furthermore, the quantity of pharmacists' documentation is not significantly affected by the educational sessions; however, the quality is improved.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.616
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.136
GPT teacher head0.503
Teacher spread0.367 · 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.

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

Citations0
Published2021
Admission routes1
Has abstractyes

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