Skip to main content

Peer Review Meetings of Family Doctors Show Electronic Data Collection Reduces the Variability of Pharmaceutical Prescriptions at the Local Health Authority of Empoli

  • Conference paper
  • 1664 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7251))

Abstract

The awareness of resource spending, with regards to medical prescriptions, is crucial for clinical governance. The variability of behaviour in writing medical prescriptions by doctors is another crucial factor of clinical governance. Both can be addressed and controlled by showing electronic data collection. Peer review meetings, headed by physicians with statistical and epidemiological expertise, led to a statistically significant decrease in variability of drug prescriptions. In the future, we would like to extend peer reviews to include the topics of in-patient hospitalization, appointments with specialists and all other related medical needs, in the attempt to minimize variability amongst medical requests and behaviours.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Braybrook, S., Walker, R.: Influencing prescribing in primary care: a comparison of two different prescribing feedback methods. Journal of Clinical Pharmacy and Therapeutics 21, 247–254 (1996), doi:10.1111/j.1365-2710.1996.tb01146.x

    Article  Google Scholar 

  2. http://portale.usl11.net/sviluppo/portalenw/pagina_0.php?pag=appl_az |2&homepag=home3_2&homepos=1

  3. Reilly, P.M., Patten, P.M.: An audit of prescribing by peer review. J. R. Coll. Gen. Pract. 28(194), 525–530 (1978)

    Google Scholar 

  4. Salvadori, P., et al.: Un data base per governo clinico nella medicina e pediatria di famiglia (electronic data base for clinical governance in family doctors and pediatricians). E-Healthcare 3, 58–62; Edisef.it

    Google Scholar 

  5. Straand, J., et al.: A cluster-randomized educational intervention to reduce inappropriate prescription patterns for elderly patients in general practice – The Prescription Peer Academic Detailing (Rx-PAD) study. BMC Health Services Research 6, 72 (2006)

    Article  Google Scholar 

  6. Walker, J., Mathers, N.: The impact of a general practice group intervention on prescribing costs and patterns. Br. J. Gen. Pract. 52(476), 181–186 (2002)

    Google Scholar 

  7. Worthen, D.B.: Prescribing influences: an overview. Medical Education 7, 109–117 (1973), doi:10.1111/j.1365-2923.1973.tb02224.x

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Salvadori, P. (2012). Peer Review Meetings of Family Doctors Show Electronic Data Collection Reduces the Variability of Pharmaceutical Prescriptions at the Local Health Authority of Empoli. In: Donnelly, M., Paggetti, C., Nugent, C., Mokhtari, M. (eds) Impact Analysis of Solutions for Chronic Disease Prevention and Management. ICOST 2012. Lecture Notes in Computer Science, vol 7251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30779-9_43

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-30779-9_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30778-2

  • Online ISBN: 978-3-642-30779-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics