Evidence map›Paper›PMID 30276630›Full record

SynthesisDrug safety2019

Potential Direct Costs of Adverse Drug Events and Possible Cost Savings Achievable by their Prevention in Tuscany, Italy: A Model-Based Analysis.

Irma Convertino, Stefano Salvadori, Alessandro Pecori, Maria Teresa Galiulo, Sara Ferraro, Maria Parrilli, Tiberio Corona, Giuseppe Turchetti, Corrado Blandizzi, Marco Tuccori

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Drug safety, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 42% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Effect of electronic drug-drug interaction alerts on patient and clinician outcomes: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2025
    Pooled it
  2. Review
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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

10 authors at 5 institutions in 1 country.

Irma ConvertinoDivision of Pharmacology and Pharmacovigilance, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Stefano SalvadoriInstitute of Clinical Physiology, National Research Council, Pisa, Italy.
Alessandro PecoriInstitute of Clinical Physiology, National Research Council, Pisa, Italy.
Maria Teresa GaliuloDivision of Pharmacology and Pharmacovigilance, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Sara FerraroDivision of Pharmacology and Pharmacovigilance, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Maria ParrilliTuscan Regional Centre of Pharmacovigilance, Florence, Italy.
Tiberio CoronaTuscan Regional Centre of Pharmacovigilance, Florence, Italy.
Giuseppe TurchettiInstitute of Management, Sant'Anna School of Advanced Studies, Pisa, Italy.
Corrado BlandizziDivision of Pharmacology and Pharmacovigilance, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Marco TuccoriDivision of Pharmacology and Pharmacovigilance, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy. m.tuccori@ao-pisa.toscana.it.
University of Pisa · ITAgenzia Regionale di Sanità della Toscana · ITIstituto di Fisiologia Clinica · ITNational Research Council · ITScuola Superiore Sant'Anna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAdverse drug events (ADEs) may represent an important item of expenditure for healthcare systems and their prevention could be associated with a relevant cost saving.

objectiveThe objective of this study was to simulate the annual economic burden for ADEs in Tuscany (Italy) and the potential cost savings related to avoidable ADEs.

methodsA systematic review was performed, according to the Preferred Reporting Items for Systematic review and Meta-Analysis (PRISMA) and Meta-analysis Of Observational Studies in Epidemiology (MOOSE) statements, on observational studies published from 2006 to 2016 in MEDLINE and EMBASE, focusing on direct costs of ADEs in the inpatient setting from high-income countries. The mean probability of preventable ADEs was estimated over the included studies. The mean ADE cost was calculated by means of Monte Carlo simulation. We then extrapolated the spontaneous reports of ADEs in Tuscany, Italy in 2016 from the Italian National Pharmacovigilance Network (Rete Nazionale di Farmacovigilanza), and we assumed the same costs and preventability probability for these as obtained in the systematic review. Finally, we simulated the possible costs of ADEs and preventable ADEs in Tuscany. Three sensitivity analyses were also performed to test the robustness of the results.

resultsOf 11,936 articles initially selected, 12 observational studies were included. The estimated mean [± standard deviation (SD)] ADE cost was €2471.46 (± €1214.13). The mean (± SD) probability of preventable ADEs was 45% (± 21). The Tuscan expenditure for ADEs was €3,406,280.63 per million inhabitants (95% confidence interval (CI) 1,732,910.44-5,079,664.61) and the potential cost saving was €1,532,760.25 per million inhabitants (95% CI 779,776.1-2,285,750.60). Sensitivity analyses confirmed the robustness of the results.

conclusionsThe present simulation showed that ADEs could have a relevant economic impact on the Tuscan healthcare system. In this setting, the prevention of ADEs would result in important cost savings. These results could be likely extended to other healthcare systems.

Indexed as

Cost SavingsHealth ExpendituresModels, EconomicDrug-Related Side Effects and Adverse ReactionsHumansItalyMonte Carlo MethodPharmacovigilanceProbability

Identifiers

PMID30276630
OpenAlexW2894868988

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.