381
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

A Community Health Nursing Approach to the Problem of Antibiotic Over-Prescribing

&
Pages 161-174 | Published online: 18 Aug 2008
 

Abstract

Antibiotic resistance due to over-prescribing is a critical problem for society. The purpose of this study was to examine the effect of a nurse-led quality-assurance-based program designed to decrease inappropriate antibiotic prescribing rates in patients suffering from viral upper respiratory tract infections. The study was based in a network of community health centers in the Southeastern United States. A quasi-experimental design based upon pre- and postintervention measurement via chart reviews was utilized in the study. Both the pre- and postintervention chart reviews revealed high levels of inappropriate prescribing. Following intervention, no gross decrease in prescribing rates was noted. Qualitative differences were noted postintervention that included increased rates of prescriptions for delayed antibiotic therapy and decreased rates of reflexive prescription writing for farmers. Additionally, the results reflected the decreased use of broad-spectrum antibiotics after the intervention. Although the study utilized a limited sample, it shows promise for the use of quality assurance approaches in moderating inappropriate prescribing practices.

Notes

Note. *statistical significance. NP = nurse practitioner. PA = physician assistant.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 365.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.