# Predicting Pediatric Readmission: Development of a Validated Risk Prediction Tool

> **NIH AHRQ K08** · CINCINNATI CHILDRENS HOSP MED CTR · 2020 · $148,340

## Abstract

PROJECT SUMMARY
Dr. Auger is a pediatric hospitalist whose overarching career goal is to prevent unnecessary hospitalization.
Overview of Project: Pediatric readmission is common; yet, clinicians currently do not have a systematic way
to predict which patients will return for an unplanned readmission after discharge. The aims of this proposal are
to 1) identify markers of discharge medical complexity and examine their association with readmission; 2)
develop a readmission risk prediction tool for unplanned readmission at a single children's hospital; 3) validate
the readmission risk prediction tool at a second children's hospital.
Candidate: Dr. Auger is an Assistant Professor of Pediatrics in the Division of Hospital Medicine at Cincinnati
Children's Hospital Medical Center (CCHMC). She has completed two fellowships: a clinical fellowship in
hospital medicine and a Robert Wood Johnson Foundation (RWJF) Clinical Scholars program fellowship in
health services research. As part of her RWJF fellowship, she also completed a Masters of Health and
Healthcare Research. The proposed K08 career development plan builds upon her fellowship training and
early career development to address four areas that require additional training to enhance her trajectory toward
becoming an independent investigator: Training Goal 1. Increase expertise on advanced statistical principles.
Expertise in risk prediction will be an essential skill for predicting readmission risk for children. In addition,
understanding hierarchical modeling will be essential for future research that focuses on hospital outcomes.
Training Goal 2. Acquire additional training in social determinants of health. Social risks have been shown to
influence post-discharge risk. Dr. Auger requires additional training in the measurement of social determinants
to ensure use of the best methods to account for such risk factors in risk prediction tools. Training Goal 3.
Acquire skills for developing and implementing interventions. Dr. Auger's training to date has not included
implementation science or intervention trials. She will need both of these skills to facilitate further development
and testing of interventions targeted to the prevention of readmission during a subsequent R award. Training
Goal 4. Strengthen academic and professional development skills. Dr. Auger will continue to develop skills
needed to be a successful independent investigator through courses on leadership and writing, reviewing
manuscripts, participating in “K club”, and presenting at national conferences.
Mentoring Relationships: Dr. Samir S. Shah and Dr. Robert S. Kahn and are serving as Dr. Auger's co-
primary mentors. Dr. Shah is an expert in pediatric hospitalizations. He currently is the PI on a PCORI-funded
hospital to home transitions grant. Dr. Kahn is an expert in the social determinants of health, having previously
received R01 level funding for studying disparities in pediatric asthma readmission. Two other co-mentors
comp...

## Key facts

- **NIH application ID:** 9900743
- **Project number:** 5K08HS024735-04
- **Recipient organization:** CINCINNATI CHILDRENS HOSP MED CTR
- **Principal Investigator:** Katherine Ann Scott Auger
- **Activity code:** K08 (R01, R21, SBIR, etc.)
- **Funding institute:** AHRQ
- **Fiscal year:** 2020
- **Award amount:** $148,340
- **Award type:** 5
- **Project period:** 2017-04-01 → 2022-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9900743

## Citation

> US National Institutes of Health, RePORTER application 9900743, Predicting Pediatric Readmission: Development of a Validated Risk Prediction Tool (5K08HS024735-04). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9900743. Licensed CC0.

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