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Comparison of LACE and HOSPITAL Readmission Risk Scores for CMS Target and Nontarget Conditions.
Jones, Stephen L; Cheon, Ohbet; Manzano, Joanna-Grace Mayo; Park, Anne K; Lin, Heather Y; Halm, Josiah K; Baek, Juha; Graviss, Edward A; Nguyen, Duc T; Kash, Bita A; Phillips, Robert A.
Afiliación
  • Jones SL; Center for Outcomes Research, Houston Methodist, Houston, TX.
  • Cheon O; Department of Surgery, Houston Methodist, Houston, TX.
  • Manzano JM; Department of Surgery, Weill Cornell Medical College, New York, NY.
  • Park AK; Center for Outcomes Research, Houston Methodist, Houston, TX.
  • Lin HY; Reh School of Business, Clarkson University, Schenectady, NY.
  • Halm JK; Department of General Internal Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
  • Baek J; Office of Performance Improvement, The University of Texas MD Anderson Cancer Center, Houston, TX.
  • Graviss EA; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX.
  • Nguyen DT; Department of General Internal Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
  • Kash BA; Center for Outcomes Research, Houston Methodist, Houston, TX.
  • Phillips RA; Department of Surgery, Houston Methodist, Houston, TX.
Am J Med Qual ; 37(4): 299-306, 2022.
Article en En | MEDLINE | ID: mdl-34935684
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Readmisión del Paciente / Servicio de Urgencia en Hospital Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Am J Med Qual Asunto de la revista: SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article Pais de publicación: Países Bajos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Readmisión del Paciente / Servicio de Urgencia en Hospital Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Am J Med Qual Asunto de la revista: SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article Pais de publicación: Países Bajos