Evidence map›Paper›PMID 41283626›Full record

ArticlePharmacy (Basel, Switzerland)2025

Bedside Medication Management: Pharmacy Technicians Managing Patient Medication Supply to Improve Nursing Productivity and Patient Safety.

Tom W Simpson, Duncan S Mckenzie, Rosina G Guastella, Michael J Ryan

Abstract read
In one paragraph

Article in Pharmacy (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Tom W SimpsonBPharm, FSHP, FANZCAP, Statewide Hospital Pharmacy, Tasmanian Health Service, Hobart, TAS 7000, Australia.ORCID 0000-0001-6725-7546
Duncan S MckenzieDuncan S McKenzie, BPharm (Hons 1), FANZCP, MSHP, Pharmacy Projects, Office of the Deputy Secretary, Community, Mental Health and Wellbeing, Department of Health, Hobart, TAS 7000, Australia.
Rosina G GuastellaRosina G Guastella, BPharm, PharmConsult Pty Ltd., Hawthorn, VIC 3122, Australia.
Michael J RyanBPharm, FSHP, MBA, AFCHSM, PharmConsult Pty Ltd., Hawthorn, VIC 3122, Australia.

Funding

Tasmanian Health Service N/A
6 · The paper itself

Abstract

Audits of medication charts conducted by Royal Hobart Hospital Pharmacy revealed that dose omission was the most common medication error experienced by patients. Investigation of these errors also found that nurses spend significant time organising medication for inpatients. To address the issues contributing to these problems, an alternative model of medication management was implemented and tested. This model of bedside medication management involves medication supply managed by ward pharmacy technicians who review charts daily for changes to medicines and obtain the medicines needed for each patient. Outcomes on two intervention wards showed that the model, combined with technician involvement in controlled medicines stock management, resulted in 29.78 h of nursing time released to patient care per 20-bed ward per week, for an investment of 22.28 h of ward pharmacy technician time; a 75% reduction in delayed doses; a 44% reduction in missed doses; and an average decrease of two hours in the turnaround time for supply of inpatient medication. Introducing bedside medication management and controlled medicines stock management activities can release 1.34 h of nursing time to patient care for every hour of ward pharmacy technician time (at a lower hourly salary cost), decrease dose delays and omissions, and improve patient safety.

Indexed as

medicationnurseproductivitysafetytechnicians

Identifiers

PMID41283626
PMCPMC12641940

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.