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

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

Author information

1
College of Nursing, Seoul National University, Seoul, Republic of Korea. njlee@snu.ac.kr

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.

PMID:
19707090
DOI:
10.1097/ANS.0b013e3181b0d6bf
[Indexed for MEDLINE]

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