%0 Journal Article
%T An Electronic Health Record Tool Designed to Improve Pediatric Hospital Discharge has Low Predictive Utility for Readmissions
%A Angela Moss
%A MS
%A Leslie Anderson BSN
%A RN-C
%A Mark S. Brittan
%A MD
%A MPH
%A Michelle R. Torok
%A PhD
%A Sara Martin
%A RN
%A BSN
%A CPN
%J Journal of Hospital Medicine
%D 2018
%R 10.12788/jhm.3043
%X We developed an electronic health record tool to improve pediatric hospital discharge. This tool flags children with three components that might complicate discharge: home health, polypharmacy (¡Ý6 medications), or non-English speaking caregiver. The tool tallies components and displays them as a composite score of 0-3 points. We describe the tool¡¯s development, implementation, and an evaluation of its predictive utility for 30-day unplanned readmissions in 29,542 discharged children. Of these children, 28% had a composite score of 1, 8% a score ¡Ý2, and 4% were readmitted. The odds of readmission was significantly higher in children with composite score of 1 versus 0 (odds ratio [OR]: 1.7; 95% CI, 1.5-2) and ¡Ý2 versus 0 (OR 4.2; 95% CI 3.6-4.9). The C-statistic for this model was 0.62. Despite the positive association of the score with readmission, the tool¡¯s discriminatory performance is low. Additional research is needed to evaluate its practical benefit for improving the quality of hospital discharge
%U https://www.journalofhospitalmedicine.com/jhospmed/article/172942/hospital-medicine/electronic-health-record-tool-designed-improve-pediatric