International Journal of Clinical Pharmacy

, Volume 40, Issue 5, pp 1175–1179 | Cite as

Identification of variables influencing pharmaceutical interventions to improve medication review efficiency

  • Lauriane Cornuault
  • Victorine Mouchel
  • Thuy-Tan Phan Thi
  • Hélène Beaussier
  • Yvonnick Bézie
  • Jennifer CornyEmail author
Research Article


Background Clinical pharmacists’ involvement has improved patients’ care, by suggesting therapeutic optimizations. However, budget restrictions require a prioritization of these activities to focus resources on patients more at risk of medication errors. Objective The aim of our study was to identify variables influencing the formulation of pharmaceutical to improve medication review efficiency. Setting This study was conducted in medical wards of a 643-acute beds hospital in Paris, France. Methods All hospital medical prescriptions of all patients admitted within four medical wards (cardiology, rheumatology, neurology, vascular medicine) were analyzed. The study was conducted in each ward for 2 weeks, during 4 weeks. For each patient, variables prospectively collected were: age, gender, weight, emergency admission, number of high-alert medications and of total drugs prescribed, care unit, serum creatinine. Number of pharmaceutical interventions (PIs) and their type were reported. Main outcome measures Variables influencing the number of pharmaceutical interventions during medication review were identified using simple and multiple linear regressions. Results A total of 2328 drug prescriptions (303 patients, mean age 70.6 years-old) were analyzed. Mean number of hospital drug prescriptions was 7.9. A total of 318 PIs were formulated. Most frequent PIs were drug omission (n = 88, 27.7%), overdosing (n = 69, 21.7%), and underdosing (n = 51, 16.0%). Among variables studied, age, serum creatinine level, number of high-alert medications prescribed and total number of drugs prescribed were significantly associated with the formulation of pharmaceutical interventions (adjusted R2 = 0.34). Conclusions This study identified variables (age, serum creatinine level, number of high-alert medication, number of prescribed drugs) that may help institutions/pharmacists target their reviews towards patients most likely to require pharmacist interventions.


Clinical pharmacy France Hospital pharmacy Medication review Prioritization 



Authors thank Nicolas Greliche, statistician, for his advices, revision of the manuscript and his participation in statistical analyses of this manuscript.


No funding was received for this study.

Conflicts of interest

All authors declare that they have no conflict of interest.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Groupe Hospitalier Paris Saint JosephParisFrance

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