Evidence map›Paper›PMID 39319287›Full record

ArticleClinicoEconomics and outcomes research : CEOR2024

Automated Drugs Dispensing Systems in Hospitals: a Health Technology Assessment (HTA) Study Across Six European Countries.

Emanuela Foglia, Federica Asperti, Grazia Antonacci, Yogini H Jani, Elisabetta Garagiola, Daniele Bellavia, Lucrezia Ferrario

Abstract read
In one paragraph

Article in ClinicoEconomics and outcomes research : CEOR, 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
–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

1 citing paper in PubMed.

  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

7 authors.

Emanuela FogliaLIUC - University Cattaneo, Healthcare Datascience LAB, Castellanza, Varese, 21053, Italy.ORCID 0000-0003-1381-9069
Federica AspertiLIUC - University Cattaneo, Healthcare Datascience LAB, Castellanza, Varese, 21053, Italy.
Grazia AntonacciDepartment of Primary Care and Public Health, Imperial College London, National Institute of Health Research (NIHR) Applied Research Collaboration (ARC) Northwest London, London, UK.
Yogini H JaniCentre for Medicines Optimisation Research and Education, University College London Hospitals NHS Foundation Trust, London, UK.
Elisabetta GaragiolaLIUC - University Cattaneo, Healthcare Datascience LAB, Castellanza, Varese, 21053, Italy.
Daniele BellaviaLIUC - University Cattaneo, Healthcare Datascience LAB, Castellanza, Varese, 21053, Italy.
Lucrezia FerrarioLIUC - University Cattaneo, Healthcare Datascience LAB, Castellanza, Varese, 21053, Italy.ORCID 0000-0002-8561-898X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Automated Drug Dispensing (ADD) systems are considered to be strategic hospital assets used to reduce errors and enhance economic and organizational sustainability. With regards to efficacy and safety, the literature evidence demonstrates the incremental benefits of centralised or decentralised systems compared to manual dispensing. Analyses about organisational and economic sustainability are still lacking and the present study aims to perform a Health Technology Assessment (HTA), producing multidimensional evidence on the use of ADD systems within hospitals. Methods: In 2023, a comprehensive HTA draws insights from healthcare professionals across six European nations: Italy, France, Germany, the Netherlands, the United Kingdom, and Belgium. This appraisal juxtaposed four drug dispensing scenarios: manual methods, centralized ADD systems, decentralized ADD systems, and integrated solutions employing cutting-edge technologies in both central pharmacies and wards. The study deployed an Activity-Based Costing approach that was combined with a cost-effectiveness and Budget Impact Analysis to evaluate economic impacts. Qualitative questionnaires were implemented to assess ethical, legal, organizational, safety, and efficacy aspects. Results: From a multidimensional perspective, healthcare professionals acknowledged ADD manifold advantages of ADD systems. From an organizational perspective and within a 12-month timeframe, transitioning to automation may face initial challenges that are attributed to potential resistance from professionals and significant investments. However, 36 months past its adoption, automation's superiority over manual methods was recognized. Economically, savings burgeoned from +17.9% in UK to +26.6% in Belgian hospitals that adopted integrated systems in comparison to traditional manual approaches. Conclusion: Compared to traditional methods, implementing ADD systems could improve the logistic management of drug in the hospital setting, thereby enhancing safety and efficacy, streamlining the healthcare professionals' workflow, and bolstering financial stability.

Indexed as

automated drug dispensing systemsdrug logistic managementeconomic impactefficiencyHTA

Identifiers

PMID39319287
PMCPMC11421443

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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.