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European Journal of Clinical Pharmacology

, Volume 74, Issue 2, pp 233–241 | Cite as

Can clinical practice indicator relating to long-acting benzodiazepine use in the elderly be easily generated in a hospital setting?

  • Badria Kadri
  • Antonio Teixeira
  • Christelle Duteil
  • Annabelle Tan
  • Hélène Barreteau
  • Christophe Segouin
  • Pénélope Troude
Pharmacoepidemiology and Prescription

Abstract

Background

To improve the appropriate use of long-acting benzodiazepine (la.bzd) prescriptions in the elderly, the Haute Autorité de Santé (HAS) has developed clinical practice indicators (CPI). The alert indicator (AI) evaluates the prevalence of la.bzd prescription among older people. The mastering indicator (MI) corresponds to the prevalence of elderly with a justified, i.e., appropriate, la.bzd prescription among all the elderly with la.bzd prescriptions.

Objective

The objective of this study was to test the feasibility of routine generation of CPI regarding la.bzd prescriptions among the elderly in the hospital setting.

Design

This was a retrospective study.

Setting

The study was conducted in two university hospitals located in Paris.

Subject

Eligible cases were patients aged 65 years and older who were hospitalized in acute care units from January to June 2014.

Method

The AI calculation was based on information extracted from medical databases from these hospitals. The appropriateness of la.bzd prescription was assessed by a physician and a pharmacist and was based on review of computerized patient records and prescriptions, using an ad hoc algorithm. The MI was then calculated. Variation in the level of indicators was explored according to the characteristics of patients and of their hospitalization using chi2 test. Factors associated with a potentially inappropriate prescription (PIP) of la.bzd were studied using univariate and multivariate logistic regression.

Result

Among the 4167 patients included in the study, 362 had la.bzd prescriptions, i.e., the AI was 9%. Prescriptions were found to be appropriate for 83 patients, i.e., the MI was 23% and PIP was 77%. The MI varied between 13 and 31% according to characteristics of patients and of hospitalization. In multivariate analysis, factors associated with PIP were age, number of comorbidities, type of care unit, and concurrent prescription of a neuroleptic or hypnotic.

Conclusion

Generation of the AI was routinely possible but only for acute care units with computerized prescriptions, corresponding to 78% of patients. Production of the MI has required medical record review for all patients with a la.bzd prescription and cannot be automated. However, difficulties in generating the MI have identified areas for significant improvement. Moreover, strategies to improve the care of older people with a la.bzd prescription could be targeted using characteristics of patients and of hospitalization associated with PIP. The future deployment of a single electronic medical record in all care departments would make it easier to mine the data and make possible automated production of CPI.

Keywords

Potentially inappropriate prescription Long acting benzodiazepine Clinical practice indicator Older people 

Notes

Acknowledgements

The authors want to thank Maria Ramanisamanana and Anne Guillard for their precious technical help in Phedra database extraction. We want to thank Dr. Juliette Oliary for her advices regarding structure and quality of data in Phedra. We also thank Judith Armbruster and Mary Alice Parsons for their skillful assistance in reviewing the language of this manuscript.

Supplementary material

228_2017_2371_MOESM1_ESM.docx (76 kb)
ESM 1 (DOCX 75.7 kb)

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2017

Authors and Affiliations

  1. 1.Public Health and Health Economics DepartmentAP-HP, Saint-Louis-Lariboisière Fernand-Widal Hospital GroupParisFrance
  2. 2.PharmacyAP-HP, Saint-Louis-Lariboisière Fernand-Widal Hospital GroupParisFrance
  3. 3.Geriatric DepartmentAP-HP, Saint-Louis-Lariboisière Fernand-Widal Hospital GroupParisFrance
  4. 4.INSERM UMR-S942, PRES Sorbonne Paris CitéUniversity Paris DiderotParisFrance

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