Cited by 34Pharmacy and Medical PracticesElectronic Health Records SystemsEmergency and Acute Care Studies

A ‘time and motion’ evaluation of automated dispensing machines in the emergency department

Roman, Cristina, Poole, Susan, Walker, Catherine, Smit, De Villiers, Dooley, Michael J.·2016·Australasian Emergency Nursing Journal

Abstract

Background There has been limited assessment of the impact that automated medication dispensing machines have on the medication administration process, particularly in Australian emergency departments. The aim of this study is to examine the change in medication retrieval times, number of medications retrieved and staff perceptions before and after the installation of automated dispensing machines in an Australian emergency and trauma centre. Methods A time and motion method recorded the time taken and number of medications retrieved from the medication room by emergency department staff, before and after the installation of two automated dispensing machines. Surveys were administered to staff members to elicit the perceived impact on clinical practice, utilising 5-point Likert scales. Results A total of 954 medication retrievals (1030 medications) were recorded in the pre-implementation period and 842 (991 medications) in the post-implementation period. The mean time taken to retrieve any medication was significantly longer in the post-implementation period (+5.7s; p<0.01). For schedules 2, 3, 4 or unscheduled medications, the mean time increased by 26.9s (p<0.01), but decreased by 36.1s (p<0.01) for schedule 8 or 11 medications. The mean number of medications per retrieval increased slightly in the post implementation period (+0.10; p<0.01). Staff perceptions were that automated dispensing machines improve knowledge of medications on imprest (p=0.03) and reduced medication retrieval time (p<0.01). Conclusions This study found that the medication retrieval process was slower with automated dispensing machines for Schedules 2, 3, 4 and unscheduled medications, but quicker for Schedule 8 and 11 medications in an Australian emergency and trauma centre. Although retrieving medications took slightly longer overall, staff believed automated dispensing machines save time.

Integrity signals

Registry

Crossref · 10.1016/j.aenj.2016.01.004

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Roman et al. reported nursing efficiency savings resulting from a reduction in the time taken to retrieve CDs from ADCs whereby the requirement to document the transaction was removed as it was automatically captured in the ADC electronic CD register.

    “Roman et al. reported nursing efficiency savings resulting from a reduction in the time taken to retrieve CDs from ADCs whereby the requirement to document the transaction was removed as it was automatically captured in the ADC electronic CD register.49”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Roman, C., Poole, S., Walker, C., Smit, D. V., & Dooley, M. J.
Affiliations
The Alfred Hospital (AU)
Corresponding author
Roman, Cristina
Venue
Australasian Emergency Nursing Journal
Publisher
Elsevier BV
Published
2016-05
Volume
19
Issue
2
Pages
112-117
ISSN
1574-6267 (ISSN-L)
OpenAlex
W2301294339
Cited by
34
References
1
Citations by year
2026: 2 · 2025: 4 · 2024: 6 · 2023: 4 · 2022: 3 · 2021: 5 · 2020: 4 · 2019: 3 · 2018: 1 · 2017: 1 · 2016: 1
FWCI
2.53
Type
journal article
Language
en
Open access
closed
Locations
  • Australasian Emergency Nursing Journal (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmacy and Medical Practices
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Health Sciences › Medicine › Emergency Medicine › Emergency and Acute Care Studies
Keywords
emergency department, medication administration, employee perceptions, controlled substances, drug scheduling, pharmacy automation
MeSH terms
Attitude of Health Personnel, Pharmaceutical Preparations, Emergency Service, Hospital, Humans, Medical Staff, Hospital, Medication Errors, Medication Systems, Hospital, Pharmacy Service, Hospital, Practice Patterns, Physicians', Time Factors, Victoria

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review