MétaCan
Menu
← Back to cohort
Record W4387388833

The Impact of a Training Program on Clinical Pharmacists on Pharmacy Clinical Services in a Tertiary Hospital in Hunan China

2019· article· en· W4387388833 on OpenAlexaboutno aff
Ping Xu, Hu YY, Yuan HY, Xiang DX, Zhou YG, Cave AJ, Banh HL

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2019
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsClinical pharmacyPharmacyChinaMedicineFamily medicineGeography
DOInot available

Abstract

fetched live from OpenAlex

Ping Xu,1 Yi Yun Hu,1 Hai Yan Yuan,1 Da Xiong Xiang,1 Yan Gang Zhou,1 Andrew J Cave,2 Hoan Linh Banh2 1Department of Pharmacy, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410008, People’s Republic of China; 2Department of Family Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, CanadaCorrespondence: Ping XuDepartment of Pharmacy, The Second Xiangya Hospital of Central South University, 139 Renmin Middle Road, Changsha, Hunan 410008, People’s Republic of ChinaTel +86-138-7488-2504Email xuping1109@163.comHoan Linh BanhDepartment of Family Medicine, Faculty of Medicine and Dentistry, University of Alberta, 6-10 University Terrace, Edmonton, AB, CanadaTel +1 780-248-1835Email hoan@ualberta.caBackground: Prior to 2015, clinical consultation was the only clinical service provided by clinical pharmacists in Changsha Second Hospital. Between 2015 and 2017, a train-the-trainer program was implemented to train clinical pharmacists to provide pharmaceutical care and to conduct clinical research. The objective of the study is to examine the impact on the clinical services provided by pharmacists after the implementation of the train-the-trainer program.Patients and methods: Between 2004 and 2014, all completed clinical consultation activities were tallied and summarized. The results from the tallied consultation activities were used as a baseline for clinical activities provided by pharmacists prior to the training. A structured training program was implemented between 2015 and 2017 to train clinical pharmacists to provide pharmaceutical care. After the implementation of the training program was completed, all clinical activities provided by pharmacists between January 2017 and December 2017 were documented in the clinical workload form. The clinical activities completed by each pharmacist were tallied and summarized.Results: Between 2004 and 2014, a total of 6569 (average 657 per year) pharmacy consultations were requested and completed from a total of 44 departments. In 2017, a total of 15,078 hrs of clinical activities were logged. The pharmacists completed 3481 consultations in 2017 (an increase of 430%), averaging 316 consultations for each pharmacist and 271.8 hr per pharmacist. Over 2000 hrs (of the 15,078 hrs) were spent on direct patient care by the pharmacists.Conclusion: This study shows that there was a 430% increase in clinical pharmacy consultation services provided by the clinical pharmacists after the implementation of the training program. This is directly related to the number of well-trained pharmacists available. After the implementation of the train-the-trainer program, the range of services as well as the number of clinical services and clinical hours spent on providing pharmaceutical care have significantly increased.Keywords: clinical pharmacy, pharmacy consultation, pharmacy services, pharmaceutical care

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.229
Threshold uncertainty score0.456

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0020.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.526
GPT teacher head0.708
Teacher spread0.181 · 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 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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueDOAJ (DOAJ: Directory of Open Access Journals)→Same topicPharmaceutical Practices and Patient Outcomes→French-language works237,207→