Dataset Information

Retrospective study of irrational prescribing in French paediatric hospital: prevalence of inappropriate prescription detected by Pediatrics: Omission of Prescription and Inappropriate prescription (POPI) in the emergency unit and in the ambulatory setting.

ABSTRACT:

Background and objective

Pediatrics: Omission of Prescription and Inappropriate prescription (POPI) is the first detection tool for potentially inappropriate medicines (PIMs) and potentially prescribing omissions (PPOs) in paediatrics. The aim of this study was to evaluate the prevalence of PIM and PPO detected by POPI regarding prescriptions in hospital and for outpatients. The second objective is to determine the risk factors related to PIM and PPO.

Design

A retrospective, descriptive study was conducted in the emergency department (ED) and community pharmacy (CP) during 6 months. POPI was used to identify PIM and PPO.

Setting

Robert-Debré Hospital (France) and Albaret community pharmacy (Seine and Marne).

Participants

Patients who were under 18 years old and who had one or more drugs prescribed were included. Exclusion criteria consisted of inaccessible medical records for patients consulted in ED and prescription without drugs for outpatients.

Primary and secondary outcome measures

PIM and PPO rate and risk factors.

Results

At the ED, 18?562 prescriptions of 15?973 patients and 4780 prescriptions of 2225 patients at the CP were analysed. The PIM rate and PPO rate were, respectively, 2.9% and 2.3% at the ED and 12.3% and 6.1% at the CP. Respiratory and digestive diseases had the highest rate of PIM.

Conclusion

This is the first study to assess the prevalence of PIM and PPO detected by POPI in a paediatric population. This study assessed PIMs or PPOs within a hospital and a community pharmacy. POPI could be used to improve drug use and patient care and to limit hospitalisation and adverse drug reaction. A prospective multicentric study should be conducted to evaluate the impact and benefit of implementing POPI in clinical practice.

SUBMITTER: Berthe-Aucejo A

PROVIDER: S-EPMC6475152 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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Publications

Retrospective study of irrational prescribing in French paediatric hospital: prevalence of inappropriate prescription detected by Pediatrics: Omission of Prescription and Inappropriate prescription (POPI) in the emergency unit and in the ambulatory setting.

Berthe-Aucejo Aurore A Nguyen Phuong Khanh Hoang PKH Angoulvant François F Bellettre Xavier X Albaret Patrick P Weil Thomas T Boulkedid Rym R Bourdon Olivier O Prot-Labarthe Sonia S

BMJ open 20190320 3

<h4>Background and objective</h4>Pediatrics: Omission of Prescription and Inappropriate prescription (POPI) is the first detection tool for potentially inappropriate medicines (PIMs) and potentially prescribing omissions (PPOs) in paediatrics. The aim of this study was to evaluate the prevalence of PIM and PPO detected by POPI regarding prescriptions in hospital and for outpatients. The second objective is to determine the risk factors related to PIM and PPO.<h4>Design</h4>A retrospective, descr ...[more]

PMID: 30898791

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Project description:BackgroundInappropriate use of antibiotics promotes antibiotic resistance. Little is known about physician characteristics that may be associated with inappropriate antibiotic prescribing. Our objective was to assess whether physician knowledge, time in practice, place of training and practice volume explain the differences in antibiotic prescribing among physicians.MethodsA historical cohort of 852 primary care physicians in Quebec who became certified between 1990 and 1993 was followed for their first 6-9 years of practice (1990-1998). We evaluated whether inappropriate antibiotic prescribing had occurred during the study period (1990-1998) for viral (prescription of antibiotics) and bacterial (prescription of second-or third-line antibiotics given orally) infections. We used logistic regression to estimate the independent contributions of time in practice, practice volume, place of medical training and scores on licensure examinations. Physician sex and visit setting were controlled for, as were patient age, sex, education, income and geographic area of residence.ResultsA total of 104 230 patients who received a diagnosis of a viral infection and 65 304 who received a diagnosis of a bacterial infection were included in our study. International medical graduates were more likely than University of Montréal graduates to prescribe antibiotics for viral respiratory infections (risk ratio [RR] 1.78, 95% confidence interval [CI] 1.30-2.44). Inappropriate antibiotic prescribing increased with time in practice. Physicians with a high practice volume were more likely than those with low practice volume to prescribe antibiotics for viral respiratory infections (RR 1.27, 95% CI 1.09-1.48) and to prescribe second-and third-line antibiotics as first-line treatment (RR 1.20, 95% CI 1.06-1.37). Physician scores on licensure examinations were not predictive of inappropriate antibiotic prescribing.InterpretationInternational medical graduates, physicians with high-volume practices and those who were in practice longer were more likely to prescribe antibiotics inappropriately. Developing effective interventions will require increased knowledge of the mechanisms that underlie these predictors of inappropriate antibiotic prescribing.

Dataset Information

Retrospective study of irrational prescribing in French paediatric hospital: prevalence of inappropriate prescription detected by Pediatrics: Omission of Prescription and Inappropriate prescription (POPI) in the emergency unit and in the ambulatory setting.

Background and objective

Design

Setting

Participants

Primary and secondary outcome measures

Results

Conclusion

Publications

Retrospective study of irrational prescribing in French paediatric hospital: prevalence of inappropriate prescription detected by Pediatrics: Omission of Prescription and Inappropriate prescription (POPI) in the emergency unit and in the ambulatory setting.

Similar Datasets

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