Evidence map›Paper›PMID 32315319›Full record

Observational studyPloS one2020

Workload of pharmacists and the performance of pharmacy services.

Shih-Chieh Shao, Yuk-Ying Chan, Swu-Jane Lin, Chung-Yi Li, Yea-Huei Kao Yang, Yi-Hua Chen, Hui-Yu Chen, Edward Chia-Cheng Lai

Abstract readObservational Study
In one paragraph

Observational study in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. A heuristic evaluation of a pharmacy surveillance information system.BMC medical informatics and decision making · 2024
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  8. Evaluation of a decentralized investigational drug service pharmacist in a cancer clinical trial infusion unit.Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Shih-Chieh ShaoDepartment of Pharmacy, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan.
Yuk-Ying ChanDepartment of Pharmaceutical Material Management, Chang Gung Medical Foundation, Taoyuan, Taiwan.
Swu-Jane LinDepartment of Pharmacy Systems, Outcomes & Policy, College of Pharmacy, University of Illinois at Chicago, Chicago, Illinois, United States of America.
Chung-Yi LiDepartment of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan.ORCID 0000-0002-0321-8908
Yea-Huei Kao YangSchool of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Yi-Hua ChenDepartment of Pharmacy, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan.
Hui-Yu ChenDepartment of Pharmacy, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Edward Chia-Cheng LaiSchool of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.ORCID 0000-0002-5852-7652

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the influence of pharmacists' dispensing workload (PDW) on pharmacy services as measured by prescription suggestion rate (PSR) and dispensing error rate (DER).

methodThis was an observational study in northern and southern Taiwan's two largest medical centers, from 2012 to 2018. We calculated monthly PDW as number of prescriptions divided by number of pharmacist working days. We used monthly PSR and DER as outcome indicators for pharmacists' review and dispensing services, respectively. We used Poisson regression model with generalized estimation equation methods to evaluate the influence of PDW on PSR and DER.

resultsThe monthly mean of 463,587 (SD 32,898) prescriptions yielded mean PDW, PSR and DER of 52 (SD 3) prescriptions per pharmacist working days, 30 (SD 7) and 8 (SD 2) per 10,000 prescriptions monthly, respectively. There was significant negative impact of PDW on PSR (adjusted rate ratio, aRR: 0.9786; 95%CI: 0.9744-0.9829) and DER (aRR: 0.9567; 95%CI: 0.9477-0.9658). Stratified analyses by time periods (2012-2015 and 2016-2018) revealed the impact of PDW on PSR to be similar in both periods; but with positive association between PDW and DER in the more recent one (aRR: 1.0086, 95%CI: 1.0003-1.0169).

conclusionsReduced pharmacist workload was associated with re-allocation of pharmacy time to provide prescription suggestions and, more recently, decrease dispensing errors. Continuous efforts to maintain appropriate workload for pharmacists are recommended to ensure prescription quality.

Indexed as

Community Pharmacy ServicesHumansPharmaciesPharmacistsPharmacy TechniciansPrescriptionsTaiwanWorkload

Identifiers

PMID32315319
PMCPMC7173874

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.