Comparison of LACE and HOSPITAL Readmission Risk Scores for CMS Target and Nontarget Conditions

Stephen L. Jones, Ohbet Cheon, Joanna Grace Mayo Manzano, Anne K. Park, Heather Y. Lin, Josiah K. Halm, Juha Baek, Edward A. Graviss, Duc T. Nguyen, Bita A. Kash, Robert A. Phillips

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


This study evaluated the utility and performance of the LACE index and HOSPITAL score with consideration of the type of diagnoses and assessed the accuracy of these models for predicting readmission risks in patient cohorts from 2 large academic medical centers. Admissions to 2 hospitals from 2011 to 2015, derived from the Vizient Clinical Data Base and regional health information exchange, were included in this study (291 886 encounters). Models were assessed using Bayesian information criterion and area under the receiver operating characteristic curve. They were compared in CMS diagnosis-based cohorts and in 2 non-CMS cancer diagnosis-based cohorts. Overall, both models for readmission risk performed well, with LACE performing slightly better (area under the receiver operating characteristic curve 0.73 versus 0.69; P ≤ 0.001). HOSPITAL consistently outperformed LACE among 4 CMS target diagnoses, lung cancer, and colon cancer. Both LACE and HOSPITAL predict readmission risks well in the overall population, but performance varies by salient, diagnosis-based risk factors.

Original languageEnglish (US)
Pages (from-to)299-306
Number of pages8
JournalAmerican Journal of Medical Quality
Issue number4
Early online dateDec 20 2021
StatePublished - Dec 23 2021


  • Bayes Theorem
  • Emergency Service, Hospital
  • Humans
  • Length of Stay
  • Patient Readmission
  • Retrospective Studies
  • Risk Factors

ASJC Scopus subject areas

  • Medicine(all)


Dive into the research topics of 'Comparison of LACE and HOSPITAL Readmission Risk Scores for CMS Target and Nontarget Conditions'. Together they form a unique fingerprint.

Cite this