Literature DB >> 28925569

Prescribing errors intercepted by pharmacist intervention in care of patients hospitalised with breast and gynaecological cancer at a Brazilian teaching hospital.

A C Ferracini1, A T Rodrigues1, A A de Barros2, S F Derchain3, P G Mazzola4.   

Abstract

Oncologic inpatients often require multiple drug therapy. They may be at higher risk of experiencing prescribing errors, which pharmacist interventions may help to avoid. This study aimed to evaluate the types of prescribing errors, pharmaceutical interventions and differences in clinical significance, in prescriptions for hospitalised patients with breast and gynaecological cancer. A cross-sectional, prospective study was conducted at the oncology ward of a clinic specialised in breast and gynaecology cancer. A clinical pharmacist analysed prescriptions, identified errors, performed interventions and classified clinical significance. A total of 1,874 prescriptions of 248 patients were evaluated; 11.5% prescriptions were involved at least in one prescribing error, totalising 283 errors. The most common error was unsafe medication due to drug interaction (89[31.4%]). Drugs for the alimentary tract and metabolism, and nervous system were the most involved in errors with statistical association (p = .0246 and p = .0002 respectively). Of the 294 interventions, 73.5% were accepted. The clinical significance of prescribing errors and interventions were classified as significant and very significant respectively. The pharmacist interventions obtained a good acceptance rate and impact significantly, avoiding prescribing errors classified as significant.
© 2017 John Wiley & Sons Ltd.

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Keywords:  drug prescriptions; medication errors; patient safety

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Year:  2017        PMID: 28925569     DOI: 10.1111/ecc.12767

Source DB:  PubMed          Journal:  Eur J Cancer Care (Engl)        ISSN: 0961-5423            Impact factor:   2.520


  1 in total

1.  Prescribing errors in electronic prescriptions for outpatients intercepted by pharmacists and the impact of prescribing workload on error rate in a Chinese tertiary-care women and children's hospital.

Authors:  Jian-Hui Yang; Yu-Fang Liao; Wu-Bin Lin; Wen Wu
Journal:  BMC Health Serv Res       Date:  2019-12-30       Impact factor: 2.655

  1 in total

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