Use of a personal digital assistant for managing antibiotic prescribing for outpatient respiratory tract infections in rural communities

J Am Med Inform Assoc. 2006 Nov-Dec;13(6):627-34. doi: 10.1197/jamia.M2029. Epub 2006 Aug 23.

Abstract

Objective: To assess the acceptability and usage of a standalone personal digital assistant (PDA)-based clinical decision-support system (CDSS) for the diagnosis and management of acute respiratory tract infections (RTIs) in the outpatient setting.

Design: Observational study performed as part of a larger randomized trial in six rural communities in Utah and Idaho from January 2002 to March 2004. Ninety-nine primary care providers received a PDA-based CDSS for use at the point-of-care, and were asked to use the tool with at least 200 patients with suspected RTIs.

Measurements: Clinical data were collected electronically from the devices at periodic intervals. Providers also completed an exit questionnaire at the end of the study period.

Results: Providers logged 14,393 cases using the CDSS, the majority of which (n=7624; 53%) were from family practitioners. Overall adherence with CDSS recommendations for the five most common diagnoses (pharyngitis, otitis media, sinusitis, bronchitis, and upper respiratory tract infection) was 82%. When antibiotics were prescribed (53% of cases), adherence with the CDSS-recommended antibiotic was high (76%). By logistic regression analysis, the odds of adherence with CDSS recommendations increased significantly with each ten cases completed (P=0.001). Questionnaire respondents believed the CDSS was easy to use, and most (44/65; 68%) did not believe it increased their encounter time with patients, regardless of prior experience with PDAs.

Conclusion: A standalone PDA-based CDSS for acute RTIs used at the point-of-care can encourage better outpatient antimicrobial prescribing practices and easily gather a rich set of clinical data.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Ambulatory Care
  • Anti-Bacterial Agents / therapeutic use*
  • Attitude to Computers
  • Computers, Handheld / statistics & numerical data*
  • Decision Support Systems, Clinical / statistics & numerical data*
  • Humans
  • Logistic Models
  • Observation
  • Point-of-Care Systems
  • Respiratory Tract Infections / diagnosis
  • Respiratory Tract Infections / drug therapy*
  • Rural Health Services
  • Streptococcal Infections / diagnosis
  • Streptococcal Infections / drug therapy
  • Surveys and Questionnaires

Substances

  • Anti-Bacterial Agents