The effect of a mobile clinical decision support system on the diagnosis of obesity and overweight in acute and primary care encounters

ANS Adv Nurs Sci. Jul-Sep 2009;32(3):211-21. doi: 10.1097/ANS.0b013e3181b0d6bf.

Abstract

The purpose of the study was to compare the proportion of obesity-related diagnoses in clinical encounters (N = 1874) documented by nurses using a personal digital assistant-based log with and without obesity decision support features. The experimental group encounters in the randomized controlled trial had significantly more (P = .000) obesity-related diagnoses (11.3%) than did the control group encounters (1%) and a significantly lower false negative rate (24.5% vs 66.5%, P = .000). The study findings provide evidence that integration of a decision support feature that automatically calculates an obesity-related diagnosis increases diagnoses and decreases missed diagnoses and suggest that such systems have the potential to improve the quality of obesity-related care.

Publication types

  • Randomized Controlled Trial
  • Research Support, N.I.H., Extramural

MeSH terms

  • Adult
  • Body Mass Index
  • Chi-Square Distribution
  • Computers, Handheld*
  • Critical Care
  • Decision Support Systems, Clinical / organization & administration*
  • Diagnostic Errors
  • Documentation
  • Evidence-Based Nursing
  • Female
  • Guideline Adherence
  • Humans
  • Male
  • Middle Aged
  • New York
  • Nurse Practitioners / education
  • Nurse Practitioners / organization & administration*
  • Nursing Assessment / organization & administration*
  • Nursing Evaluation Research
  • Obesity / diagnosis*
  • Practice Guidelines as Topic
  • Primary Health Care