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Hospital-based health systems 20 years later: A taxonomy for policy research and analysis.
Shortell, Stephen M; Gottlieb, Daniel J; Martinez Camblor, Pablo; O'Malley, A James.
Afiliación
  • Shortell SM; School of Public Health, UC-Berkeley, Berkeley, California, USA.
  • Gottlieb DJ; The Dartmouth Institute for Health Policy, Dartmouth University, Lebanon, New Hampshire, USA.
  • Martinez Camblor P; The Dartmouth Institute for Health Policy, Dartmouth University, Lebanon, New Hampshire, USA.
  • O'Malley AJ; The Dartmouth Institute for Health Policy, Dartmouth University, Lebanon, New Hampshire, USA.
Health Serv Res ; 56(3): 453-463, 2021 06.
Article en En | MEDLINE | ID: mdl-33429460
ABSTRACT

OBJECTIVE:

Building on the original taxonomy of hospital-based health systems from 20 years ago, we develop a new taxonomy to inform emerging public policy and practice developments. DATA SOURCES The 2016 American Hospital Association's (AHA) Annual Survey; the 2016 IQVIA Healthcare Organizations and Systems (HCOS) database; and the 2017-2018 National Survey of Healthcare Organizations and Systems (NSHOS). STUDY

DESIGN:

Cluster analysis of the 2016 AHA Annual Survey data to derive measures of differentiation, centralization, and integration to create categories or types of hospital-based health systems. DATA COLLECTION Principal components factor analysis with varimax rotation generating the factors used in the cluster algorithms. PRINCIPAL

FINDINGS:

Among the four cluster types, 54% (N = 202) of systems are decentralized (-0.35) and relatively less differentiated (-0.37); 23% of systems (N = 85) are highly differentiated (1.28) but relatively decentralized (-0.29); 15% (N = 57) are highly centralized (2.04) and highly differentiated (0.65); and approximately 9 percent (N = 33) are least differentiated (-1.35) and most decentralized (-0.64). Despite differences in calculation, the Highly Centralized, Highly Differentiated System Cluster and the Undifferentiated, Decentralized System Cluster were similar to those identified 20 years ago. The other two system clusters contained similarities as well as differences from those 20 years ago. Overall, 82 percent of the systems remain relatively decentralized suggesting they operate largely as holding companies allowing autonomy to individual hospitals operating within the system.

CONCLUSIONS:

The new taxonomy of hospital-based health systems bears similarities as well as differences from 20 years ago. Important applications of the taxonomy for addressing current challenges facing the healthcare system, such as the transition to value-based payment models, continued consolidation, and the growing importance of the social determinants of health, are highlighted.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Prestación Integrada de Atención de Salud / Hospitales Generales Tipo de estudio: Prognostic_studies País/Región como asunto: America do norte Idioma: En Revista: Health Serv Res Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Prestación Integrada de Atención de Salud / Hospitales Generales Tipo de estudio: Prognostic_studies País/Región como asunto: America do norte Idioma: En Revista: Health Serv Res Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos