Development and Validation of an Integrated Suite of Prediction Models for All-Cause 30-Day Readmissions of Children and Adolescents Aged 0 to 18 Years

Denise M. Goodman*, Mia T. Casale, Karen Rychlik, Michael S. Carroll, Katherine A. Auger, Tracie L. Smith, Jenifer Cartland, Matthew M. Davis

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Importance: Readmission is often considered a hospital quality measure, yet no validated risk prediction models exist for children. Objective: To develop and validate a tool identifying patients before hospital discharge who are at risk for subsequent readmission, applicable to all ages. Design, Setting, and Participants: This population-based prognostic analysis used electronic health record-derived data from a freestanding children's hospital from January 1, 2016, to December 31, 2019. All-cause 30-day readmission was modeled using 3 years of discharge data. Data were analyzed from June 1 to November 30, 2021. Main Outcomes and Measures: Three models were derived as a complementary suite to include (1) children 6 months or older with 1 or more prior hospitalizations within the last 6 months (recent admission model [RAM]), (2) children 6 months or older with no prior hospitalizations in the last 6 months (new admission model [NAM]), and (3) children younger than 6 months (young infant model [YIM]). Generalized mixed linear models were used for all analyses. Models were validated using an additional year of discharges. Results: The derivation set contained 29988 patients with 48019 hospitalizations; 50.1% of these admissions were for children younger than 5 years and 54.7% were boys. In the derivation set, 4878 of 13 490 admissions (36.2%) in the RAM cohort, 2044 of 27 531 (7.4%) in the NAM cohort, and 855 of 6998 (12.2%) in the YIM cohort were followed within 30 days by a readmission. In the RAM cohort, prior utilization, current or prior procedures indicative of severity of illness (transfusion, ventilation, or central venous catheter), commercial insurance, and prolonged length of stay (LOS) were associated with readmission. In the NAM cohort, procedures, prolonged LOS, and emergency department visit in the past 6 months were associated with readmission. In the YIM cohort, LOS, prior visits, and critical procedures were associated with readmission. The area under the receiver operating characteristics curve was 83.1 (95% CI, 82.4-83.8) for the RAM cohort, 76.1 (95% CI, 75.0-77.2) for the NAM cohort, and 80.3 (95% CI, 78.8-81.9) for the YIM cohort. Conclusions and Relevance: In this prognostic study, the suite of 3 prediction models had acceptable to excellent discrimination for children. These models may allow future improvements in tailored discharge preparedness to prevent high-risk readmissions.

Original languageEnglish (US)
Pages (from-to)E2241513
JournalJAMA network open
Volume5
Issue number11
DOIs
StatePublished - Nov 11 2022

ASJC Scopus subject areas

  • Medicine(all)

Fingerprint

Dive into the research topics of 'Development and Validation of an Integrated Suite of Prediction Models for All-Cause 30-Day Readmissions of Children and Adolescents Aged 0 to 18 Years'. Together they form a unique fingerprint.

Cite this