Evidence map›Paper›PMID 40093373›Full record

ArticleRisk management and healthcare policy2025

Introducing Unit Dose Dispensing in a University Hospital - Effects on Medication Safety and Dispensing Time.

Hanne Katriina Ahtiainen, Carita Lindén-Lahti, Susanna Heininen, Anna-Riia Holmström, Lotta Schepel

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

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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

3 citing papers in PubMed.

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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

5 authors.

Hanne Katriina AhtiainenFaculty of Pharmacy, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-8774-6865
Carita Lindén-LahtiFaculty of Pharmacy, University of Helsinki, Helsinki, Finland.
Susanna HeininenFaculty of Pharmacy, University of Helsinki, Helsinki, Finland.
Anna-Riia HolmströmFaculty of Pharmacy, University of Helsinki, Helsinki, Finland.
Lotta SchepelHUS Pharmacy, Helsinki University Hospital, Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Unit dose (UD) medications reduce manual steps in the medication management and use process and enable electronic documentation by barcode scanning. This study aimed to explore the effects of introduced unit doses on medication safety and time spent on medication dispensing. Patients and Methods: Direct before-and-after observations were conducted in an inpatient internal medicine ward at Helsinki University Hospital. The prevalence of medication and procedural errors and time nurses spent dispensing medications at patient-specific doses were observed 10 weekdays before and after introducing unit doses of selected medications. To complement the observations, a separate survey was used to investigate nurses' perceptions of medication dispensing. Quantitative analysis was performed. Results: During the observations, medications were dispensed for 208 patients (n=1359 medications) before and 221 patients (n = 1171) after introducing unit doses. After UD implementation, 45.3% (n=530/1171) of the medications were dispensed as UDs. Medication and procedural errors were reduced (from 3.2% to 1.7% and 37.4% to 13.9%, respectively; p<0.05). Barcode scanning-related problems decreased from 21.4% to 1.8% (p<0.05) after implementation. The unit doses did not change the median time used to dispense medications to the patient, although the time used to dispense a single medication increased. In the survey, nurses reported improvements in barcode scanning but also indicated problems with handling unit doses and were worried about increased plastic waste. Conclusion: Piloted unit doses decreased medication and procedural errors. Barcode scanning improved, which supported electronic closed-loop medication management in the study hospital. Unit doses in a fully automated process should be further studied for their effects on the dispensing time. In addition, controlling the amount of plastic waste in the unit dose dispensing should be considered.

Indexed as

automationbarcode scanningdrug dispensinghospitalmedication errormedication systemsunit dose

Identifiers

PMID40093373
PMCPMC11910034

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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.