| Autor: |
Lee NJ; College of Nursing, Seoul National University, Seoul, Republic of Korea. njlee@snu.ac.kr, Chen ES, Currie LM, Donovan M, Hall EK, Jia H, John RM, Bakken S |
| Jazyk: |
angličtina |
| Zdroj: |
ANS. Advances in nursing science [ANS Adv Nurs Sci] 2009 Jul-Sep; Vol. 32 (3), pp. 211-21. |
| DOI: |
10.1097/ANS.0b013e3181b0d6bf |
| Abstrakt: |
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. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
|
