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Adding Social Determinant Data Changes Children's Hospitals' Readmissions Performance - 14/12/17

Doi : 10.1016/j.jpeds.2017.03.056 
Marion R. Sills, MD, MPH 1, * , Matthew Hall, PhD 2, Gretchen J. Cutler, PhD, MPH 3, Jeffrey D. Colvin, MD, JD 4, Laura M. Gottlieb, MD, MPH 5, Michelle L. Macy, MD, MS 6, Jessica L. Bettenhausen, MD 4, Rustin B. Morse, MD 7, Evan S. Fieldston, MD, MBA, MSHP 8, Jean L. Raphael, MD, MPH 9, Katherine A. Auger, MD, MSc 10, Samir S. Shah, MD, MSCE 10
1 Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO 
2 Children's Hospital Association, Lenexa, KS 
3 Department of Pediatric Emergency Medicine, Children's Hospitals and Clinics of Minnesota, Minneapolis, MN 
4 Department of Pediatrics, University of Missouri-Kansas City School of Medicine, Kansas City, MO 
5 Department of Family and Community Medicine, University of California-San Francisco, San Francisco, CA 
6 Departments of Emergency Medicine and Pediatrics, University of Michigan, Ann Arbor, MI 
7 Children's Health System of Texas, University of Texas Southwestern, Dallas, TX 
8 Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 
9 Department of Pediatrics, Baylor College of Medicine, Houston, TX 
10 Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 

*Reprint requests: Marion R. Sills, MD, MPH, 13123 E 16th Ave B251, Aurora, CO 80045.13123 E 16th Ave B251AuroraCO80045

Abstract

Objectives

To determine whether social determinants of health (SDH) risk adjustment changes hospital-level performance on the 30-day Pediatric All-Condition Readmission (PACR) measure and improves fit and accuracy of discharge-level models.

Study design

We performed a retrospective cohort study of all hospital discharges meeting criteria for the PACR from 47 hospitals in the Pediatric Health Information database from January to December 2014. We built four nested regression models by sequentially adding risk adjustment factors as follows: chronic condition indicators (CCIs); PACR patient factors (age and sex); electronic health record-derived SDH (race, ethnicity, payer), and zip code-linked SDH (families below poverty level, vacant housing units, adults without a high school diploma, single-parent households, median household income, unemployment rate). For each model, we measured the change in hospitals' readmission decile-rank and assessed model fit and accuracy.

Results

For the 458 686 discharges meeting PACR inclusion criteria, in multivariable models, factors associated with higher discharge-level PACR measure included age <1 year, female sex, 1 of 17 CCIs, higher CCI count, Medicaid insurance, higher median household income, and higher percentage of single-parent households. Adjustment for SDH made small but significant improvements in fit and accuracy of discharge-level PACR models, with larger effect at the hospital level, changing decile-rank for 17 of 47 hospitals.

Conclusions

We found that risk adjustment for SDH changed hospitals' readmissions rate rank order. Hospital-level changes in relative readmissions performance can have considerable financial implications; thus, for pay for performance measures calculated at the hospital level, and for research associated therewith, our findings support the inclusion of SDH variables in risk adjustment.

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Keywords : risk adjustment, pay for performance, healthcare quality measurement, predictive model, performance measure, public reporting

Abbreviations : CCIs, EHR, NQF, PACR, PHIS, SDH, Zip-linked


Plan


 M.S. supported by the National Heart, Lung, and Blood Institute (5R21HL123589-02), the Health Resources and Services Administration, Maternal Child Health Research Program (R40-111810) and the National Institutes of Health (NIH) Clinical and Translational Science Award (CTSA) program (UL1 TR001082). G.C. supported by Children's Hospitals and Clinics of Minnesota, the Medica Research Institute and National Institutes of Health (NIH) Clinical and Translational Science Award (CTSA) program (UL1TR000114). E.F. Funded by the Agency for Healthcare Research and Quality (1R01HS023538-A1). The authors declare no conflicts of interest.


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Vol 186

P. 150 - juillet 2017 Retour au numéro
Article précédent Article précédent
  • Complexity and Severity of Pediatric Patients Treated at United States Emergency Departments
  • Joel D. Hudgins, Michael C. Monuteaux, Florence T. Bourgeois, Lise E. Nigrovic, Andrew M. Fine, Lois K. Lee, Rebekah Mannix, Susan C. Lipsett, Mark I. Neuman
| Article suivant Article suivant
  • Racial and Ethnic Differences in Pediatric Readmissions for Common Chronic Conditions
  • Kavita Parikh, Jay Berry, Matt Hall, Grant M. Mussman, Amanda Montalbano, Joanna Thomson, Rustin Morse, Karen M. Wilson, Samir S. Shah

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