Evidence map›Paper›PMID 36792350›Full record

ArticleEuropean journal of hospital pharmacy : science and practice2024

Analysis of production time and capacity for manual and robotic compounding scenarios for parenteral hazardous drugs.

Tjerk H Geersing, Demelza M Pourahmad, Femke Lodewijk, Eric J F Franssen, Catherijne A J Knibbe, Mirjam Crul

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in European journal of hospital pharmacy : science and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
3.9field-weighted citation impact, top 8% of its field
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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
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

6 authors at 4 institutions in 1 country.

Tjerk H GeersingDepartment of Clinical Pharmacy, St Antonius Hospital, Nieuwegein, The Netherlands t.geersing@antoniusziekenhuis.nl.ORCID http://orcid.org/0000-0002-9373-2168
Demelza M PourahmadDepartment of Clinical Pharmacology and Pharmacy, Amsterdam University Medical Center, location Vrije Universiteit, Amsterdam, The Netherlands.
Femke LodewijkPharmaceutical Business Administration, Hogeschool Utrecht, Utrecht, The Netherlands.
Eric J F FranssenDepartment of Clinical Pharmacy, OLVG, Amsterdam, The Netherlands.
Catherijne A J KnibbeDepartment of Clinical Pharmacy, St Antonius Hospital, Nieuwegein, The Netherlands.
Mirjam CrulDepartment of Clinical Pharmacology and Pharmacy, Amsterdam University Medical Center, location Vrije Universiteit, Amsterdam, The Netherlands.
Amsterdam University Medical Centers · NLLeiden University · NLOLVG · NLUniversity of Applied Sciences Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increasing amount of hazardous preparations in combination with shortages leads to a call for more efficient compounding methods. This research aims to evaluate the required amount of time, production capacity and direct labour costs of the manual, manual software-supported and robotic compounding of parenteral hazardous drugs.

methodsThis multicentre study was conducted at the clinical pharmacy departments of three Dutch hospitals with different compounding methods: St Antonius hospital (manual software-supported compounding), Amsterdam University Medical Centre (Amsterdam UMC) (both robotic compounding and manual compounding without software support) and OLVG (robotic compounding). Time measurements of individual hazardous drugs were performed in all three hospitals. At Amsterdam UMC and St Antonius hospital, the times per compounding phase, the production capacity and the direct labour costs per preparation were also determined. To reflect real-world situations, the combination of robotic and manual compounding was also studied.

resultsThe total compounding process, including the actions before compounding and the release-time and cleaning time, lasted 6:44 min with robotic compounding and was faster than manual compounding with and without software support (6:48 and 9:48 min, respectively). The production capacity of one full-time equivalent (FTE) on 1 day (P

conclusionCompared with manual compounding, robotic compounding was faster over the total compounding process. A combination of manual compounding and robotic compounding could lead to 100% more preparations per FTE and 2.5 times lower direct labour costs compared with manual compounding.

Indexed as

Drug CompoundingPharmacy Service, HospitalRoboticsHazardous SubstancesHumansInfusions, ParenteralNetherlandsTime FactorsHazardous SubstancesAntineoplastic agentsAutomationDrug CompoundingHealth Care Economics and OrganizationsRobotics

Identifiers

PMID36792350
PMCPMC11265554
OpenAlexW4320912337

What OpenQuestion holds

Textmetadata
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.