Evidence map›Paper›PMID 41509802›Full record

ArticleGlobal & regional health technology assessment

Health technology assessment of an automated unit-dose drug distribution system in a high-specialization national referral hospital of the Italian National Health Service.

Davide Croce, Francesco De Nardo, Francesca Convenga, Debjani Mueller, Michela Franzin

Abstract read
In one paragraph

Article in Global & regional health technology assessment. 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
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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

5 authors.

Davide CroceCentro di Ricerca in Economia e Management in Sanità, CREMS, Castellanza - Italy.ORCID https://orcid.org/0000-0002-9472-3431
Francesco De NardoCentro di Ricerca in Economia e Management in Sanità, CREMS, Castellanza - Italy.ORCID https://orcid.org/0009-0001-3054-0409
Francesca ConvengaCentro di Ricerca in Economia e Management in Sanità, CREMS, Castellanza - Italy.ORCID https://orcid.org/0009-0006-6650-8570
Debjani MuellerUniversity of Pretoria, Pretoria - South Africa.
Michela FranzinDirettore UOC Farmacia Ospedaliera, ASST Papa Giovanni XXIII, Bergamo - Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Automated unit-dose (UD) medication distribution systems are increasingly recognized as enabling technologies for safer, more efficient, and traceable drug administration in hospitals. Closed-loop UD systems integrate electronic prescribing, automated dispensing, and bedside barcode scanning to ensure full traceability throughout the medication process. This study evaluated the clinical effectiveness, organizational impact, and cost-effectiveness of a closed-loop UD system implemented at a 930-bed national referral hospital in Northern Italy, compared with the previous ward-stock system. Methods: A convergent mixed-methods mini-Health Technology Assessment combined administrative, clinical, and financial data (2018-2021) with literature evidence and 18 semi-structured staff interviews. Outcomes included medication administration errors (MAEs), adverse drug reactions (ADRs), and preventable hospitalizations. Cost-effectiveness was assessed from the Italian National Health Service perspective, and qualitative findings were analyzed using framework analysis. Results: Based on literature-derived parameters, the model suggests a reduction in MAE rate from 10.6% to 5.0%, preventing an estimated 57,247 errors, 4,294 ADRs, and 42 hospitalizations per year. These outcomes were associated with net annual savings of €1.32 million and an ICER of €48.67 per error avoided. The model also indicated that around 34,000 nursing hours could be reallocated to direct patient care, while qualitative evidence highlighted improved staff satisfaction and medication traceability. Sensitivity analyses confirmed economic robustness in 95% of simulations. Conclusions: Implementation of a closed-loop UD system enhances medication safety, workflow efficiency, and cost-effectiveness, supporting its scalability as a strategic innovation aligned with institutional goals for quality and sustainability.

Indexed as

Automation hospital pharmacyCost-effectivenessDrug administration errorsDrug distribution systemsHealth technology assessmentUnit-dose distribution

Identifiers

PMID41509802
PMCPMC12776020

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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.