evaluating the rwjf-af4q super-utilizer project

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Evaluating the RWJF AF4Q Health Care Super-Utilizers Program RWJF Super-Utilizer Summit Chicago, IL July 30, 2013 Joel Cantor Rutgers Center for State Health Policy This project is supported by a grant from the Robert Wood Johnson Foundation

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Page 1: Evaluating the RWJF-AF4Q Super-Utilizer Project

Evaluating the RWJF AF4Q Health

Care Super-Utilizers Program

RWJF Super-Utilizer Summit

Chicago, IL

July 30, 2013

Joel Cantor

Rutgers Center for State Health Policy

This project is supported by a grant from

the Robert Wood Johnson Foundation

Page 2: Evaluating the RWJF-AF4Q Super-Utilizer Project

Center for State Health PolicyInstitute for Health, Health Care Policy and Aging Research

Evaluation Objectives

1. Document the experiences of program sites in adapting

super-utilizer strategies– Describe your model, accomplishments, challenges, lessons learned

– Semi-structured interviews (some by phone), review program documents

2. Assess how patient needs are addressed through new care

management strategies– Illustrate how your program model works

– Two case conferences with your team about a hypothetical patient

3. Document changes in hospital resource use by enrolled

patients– Examine how hospital resource use change

– Benchmark resource use using non-intervention patient comparison data

Page 3: Evaluating the RWJF-AF4Q Super-Utilizer Project

Center for State Health PolicyInstitute for Health, Health Care Policy and Aging Research

Hospital Resource Use Benchmarking

• How has hospital resource use changed for enrolled patients

relative to comparable non-intervention patients?

• Adjust for the expected “natural” decline in hospital resource

use, a.k.a., “regression to the mean”

• Compare total hospital resource use, readmissions, ED visits

following discharge and other outcomes

Page 4: Evaluating the RWJF-AF4Q Super-Utilizer Project

Center for State Health PolicyInstitute for Health, Health Care Policy and Aging Research

Hospital Resource Use Benchmarking (continued)

• De-identified hospital records for enrolled patients

– Hospital billing records, before, during and after enrollment in

care management (e.g., demographics, admitting diagnoses, resources

used such as ICU days, length-of-stay, payer category, charges, month/year of

visit, patient origin zip code, hospital information)

– Data use agreement between your institution and Rutgers CSHP

• Benchmark data from publicly available uniform hospital

billing data

• Statistically match enrolled to comparison patients with similar

utilization history, diagnoses and

comorbidities, payer, demographic and other factors

• Analyze actual versus benchmark trends

Page 5: Evaluating the RWJF-AF4Q Super-Utilizer Project

Center for State Health PolicyInstitute for Health, Health Care Policy and Aging Research

Thank you

Q&A