Evidence map›Paper›PMID 25969654›Full record

ArticleJournal of pharmacology & pharmacotherapeutics

Prescription errors in cancer chemotherapy: Omissions supersede potentially harmful errors.

Jayanthi Mathaiyan, Tanvi Jain, Biswajit Dubashi, K Satyanarayana Reddy, Gitanjali Batmanabane

Abstract read
In one paragraph

Article in Journal of pharmacology & pharmacotherapeutics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

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  3. Authors' reply.Journal of pharmacology & pharmacotherapeutics
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4 · The record

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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.

Jayanthi MathaiyanDepartment of Pharmacology, Regional Cancer Centre, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.
Tanvi JainDepartment of Pharmacology, Regional Cancer Centre, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.
Biswajit DubashiDepartment of Medical Oncology, Regional Cancer Centre, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.
K Satyanarayana ReddyDepartment of Radiotherapy, Regional Cancer Centre, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER) ; Department of Radiation Oncology, Mahatma Gandhi Medical College and Research Institute, Puducherry, India.
Gitanjali BatmanabaneDepartment of Pharmacology, Regional Cancer Centre, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo estimate the frequency and type of prescription errors in patients receiving cancer chemotherapy. SETTINGS AND

designWe conducted a cross-sectional study at the day care unit of the Regional Cancer Centre (RCC) of a tertiary care hospital in South India. MATERIALS AND

methodsAll prescriptions written during July to September 2013 for patients attending the out-patient department of the RCC to be treated at the day care center were included in this study. The prescriptions were analyzed for omission of standard information, usage of brand names, abbreviations and legibility. The errors were further classified into potentially harmful ones and not harmful based on the likelihood of resulting in harm to the patient. Descriptive analysis was performed to estimate the frequency of prescription errors and expressed as total number of errors and percentage.

resultsA total of 4253 prescribing errors were found in 1500 prescriptions (283.5%), of which 47.1% were due to omissions like name, age and diagnosis and 22.5% were due to usage of brand names. Abbreviations of pre-medications and anticancer drugs accounted for 29.2% of the errors. Potentially harmful errors that were likely to result in serious consequences to the patient were estimated to be 11.7%.

conclusionsMost of the errors intercepted in our study are due to a high patient load and inattention of the prescribers to omissions in prescription. Redesigning prescription forms and sensitizing prescribers to the importance of writing prescriptions without errors may help in reducing errors to a large extent.

Indexed as

Chemotherapyerrorsprescription

Identifiers

PMID25969654
PMCPMC4419253

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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.