Evidence map›Paper›PMID 40202779›Full record

ArticleJournal of medical Internet research2025

Impact of Electronic Transition and Prefilled Templates on Drug Prescription Compliance: Retrospective Study.

Aurélien Lambert, Benoit Hombourger, Julia Salleron, Fadila Chergui, Catherine Vallance, Nadège Nicolas, Marie Moussouni, Lounisse Cherif, Emile Chenot, Céline Gavoille and 1 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. 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

11 authors.

Aurélien LambertInstitut de Cancérologie de Lorraine, Vandoeuvre-lès-Nancy, France.ORCID 0000-0001-9990-1201
Benoit HombourgerInstitut de Cancérologie de Lorraine, Vandoeuvre-lès-Nancy, France.ORCID 0009-0003-5987-0203
Julia SalleronInstitut de Cancérologie de Lorraine, Vandoeuvre-lès-Nancy, France.ORCID 0000-0002-7921-4583
Fadila CherguiInstitut de Cancérologie de Lorraine, Vandoeuvre-lès-Nancy, France.ORCID 0009-0000-6691-3740
Catherine VallanceInstitut de Cancérologie de Lorraine, Vandoeuvre-lès-Nancy, France.ORCID 0009-0004-3417-6175
Nadège NicolasInstitut de Cancérologie de Lorraine, Vandoeuvre-lès-Nancy, France.ORCID 0009-0009-7861-7864
Marie MoussouniInstitut de Cancérologie de Lorraine, Vandoeuvre-lès-Nancy, France.ORCID 0000-0001-6689-7250
Lounisse CherifInstitut de Cancérologie de Lorraine, Vandoeuvre-lès-Nancy, France.ORCID 0009-0007-5312-1331
Emile ChenotInstitut de Cancérologie de Lorraine, Vandoeuvre-lès-Nancy, France.ORCID 0009-0004-4101-8327
Céline GavoilleInstitut de Cancérologie de Lorraine, Vandoeuvre-lès-Nancy, France.ORCID 0009-0008-1648-3023
Vincent MassardInstitut de Cancérologie de Lorraine, Vandoeuvre-lès-Nancy, France.ORCID 0009-0007-6690-3535

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe transition from traditional handwritten prescriptions to electronic prescribing systems represents a significant advancement, with the potential to enhance treatment efficacy, patient safety, and professional communication.

objectiveThis study aimed to examine the impact of this transition within a medical oncology service, assessing the compliance of electronic prescriptions with established good practice standards and exploring the associated risks.

methodsIn this retrospective analysis, we compared handwritten prescriptions from the pre-electronic era (January to May 2018) with electronic prescriptions (January to May 2021) following the implementation of the electronic prescribing system PandaLab Pro (PandaLab SAS). The inclusion criteria focused on outpatient oncology treatments, with a clear set of exclusion parameters to ensure a focused study scope. We defined good compliance as the written mention of the evaluated terms. The compliance rates were then compared using a chi-square test.

resultsOur findings, based on a sample size of 260 prescriptions (randomized among 30,526 archived prescriptions), indicate a substantial improvement in electronic prescriptions' compliance with prescribers and patient details, treatment accuracy, and overall adherence to regulatory standards. Notably, electronic formats achieved a remarkable 80.8% accuracy rate in compliance with safety criteria compared with 8.5% for handwritten prescriptions (P<.001). The use of prefilled prescriptions significantly increased compliance from a safety perspective (56% vs 96.2%; P<.001) compared with electronic prescriptions from scratch.

conclusionsThe analysis further underscores the advantages of prefilled electronic prescription templates, which significantly improved compliance rates compared with manually filled electronic and handwritten prescriptions. Furthermore, the study revealed a marked shift in prescribing behaviors, with electronic prescriptions tending to be more concise yet more numerous, suggesting an impact on medication management and patient adherence, which warrants further investigation. The study supports the transition to electronic prescribing systems in oncology, highlighting enhanced traceability, compliance with health authority standards, and patient safety. The implementation of prefilled templates supported by pharmacists has emerged as a pivotal factor in this improved process. While acknowledging certain limitations, such as the nonquantitative assessment of time savings and acceptability, this research advocates for the widespread adoption of electronic prescriptions and serves as a benchmark for future e-prescription initiatives in France.

Indexed as

Drug PrescriptionsElectronic PrescribingHumansRetrospective Studiesambulatory caredrug prescriptionelectronic prescriptionhandwritingmedical oncology

Identifiers

PMID40202779
PMCPMC12018857

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LicenceCC BY
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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.