Evidence map›Paper›PMID 39944756›Full record

ArticleThe Canadian journal of hospital pharmacy2025

Further Defining Optimal Pharmacist-to-Patient Ratios to Ensure Comprehensive Direct Patient Care in Medical and Surgical Units across British Columbia Hospitals.

Shelly Zq Lu, Michael Legal, Karen Dahri, Shazia Damji

Abstract read
In one paragraph

Article in The Canadian journal of hospital pharmacy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Shelly Zq Lu, PharmD, ACPR, is a Clinical Pharmacist with Vancouver General Hospital, Lower Mainland Pharmacy Services, Vancouver, British Columbia.
Michael Legal, BSc(Pharm), PharmD, ACPR, FCSHP, is the Pharmacy Director for Lower Mainland Pharmacy Services, Vancouver, British Columbia.
Karen Dahri, BSc, BSc(Pharm), PharmD, ACPR, FCSHP, is a Clinical Pharmacotherapeutic and Research Specialist (Internal Medicine) with Vancouver General Hospital, Lower Mainland Pharmacy Services, and an Associate Professor (Partner) with the Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, British Columbia.
Shazia Damji, PharmD, ACPR, ACPR2, is a Clinical Pharmacy Specialist (Critical Care) with Vancouver General Hospital, Lower Mainland Pharmacy Services, Vancouver, British Columbia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patient care ratios for pharmacists are not well defined in Canada. A recent work-sampling study involving 6 medium and large hospitals within the region served by Lower Mainland Pharmacy Services, British Columbia, reported pharmacist-to-patient ratios of 1:13, 1:26, and 1:14 in internal medicine teaching units, hospitalist or internal medicine nonteaching units, and surgical units, respectively. Objective: To determine the pharmacist-to-patient ratios required to provide comprehensive pharmaceutical care to adult patients admitted to medical and surgical units in medium and large hospitals in British Columbia. Methods: In this cross-sectional electronic survey study, participants were asked to provide estimates of the time spent on and the frequency of 17 comprehensive pharmaceutical care tasks identified in the previous study, which was based on a Delphi method. The survey data were used to calculate pharmacy staffing ratios according to the World Health Organization workforce calculator. Results: Fifty-eight pharmacists responded to the survey, of whom 41 (71%) were from medium and large hospitals. The optimal pharmacist-to-patient ratios were calculated as 1:7 for internal medicine teaching units; 1:10 for internal medicine nonteaching, hospitalist, and family practice units; and 1:14 for surgical units. Conclusions: The pharmacist-to-patient ratios calculated in this study, using only pharmacists' self-reported information, were lower than those found previously. Further research is required to determine whether completion of every comprehensive care task is necessary, or if staffing ratios should reflect combinations of comprehensive care tasks based on patient complexity. National consensus guidelines on pharmacist staffing ratios may be valuable, given the current lack of standardization of pharmacy staffing ratios in hospitals.

Indexed as

hospital pharmacy servicehospitalspersonnel staffing and schedulingpharmacistsworkforce

Identifiers

PMID39944756
PMCPMC11801459

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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.