Evidence map›Paper›PMID 33429460›Full record

ArticleHealth services research2021

Hospital-based health systems 20 years later: A taxonomy for policy research and analysis.

Stephen M Shortell, Daniel J Gottlieb, Pablo Martinez Camblor, A James O'Malley

Abstract read
In one paragraph

Article in Health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Uncovering Four Types of Care Coordination in Primary Care.Journal of the American Board of Family Medicine : JABFM · 2025
    Observational
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Stephen M ShortellSchool of Public Health, UC-Berkeley, Berkeley, California, USA.ORCID 0000-0002-7392-9801
Daniel J GottliebThe Dartmouth Institute for Health Policy, Dartmouth University, Lebanon, New Hampshire, USA.
Pablo Martinez CamblorThe Dartmouth Institute for Health Policy, Dartmouth University, Lebanon, New Hampshire, USA.
A James O'MalleyThe Dartmouth Institute for Health Policy, Dartmouth University, Lebanon, New Hampshire, USA.ORCID 0000-0002-5553-8874

Funding

PA-20-072: Accelerating the Use of Evidence-based Innovation in Healthcare SystemsU19HS024075 · AHRQ · DARTMOUTH COLLEGE · PI MEARA, ELLEN R. · 2015 to 2021
$19.8M
AHRQ HHS U19 HS024075
6 · The paper itself

Abstract

objectiveBuilding 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

designCluster 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

findingsAmong 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.

conclusionsThe 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.

Indexed as

Delivery of Health Care, IntegratedHospitals, GeneralHumansOwnershipUnited Statescentralizationcluster analysisdifferentiationhealthcare systemsintegration

Identifiers

PMID33429460
PMCPMC8143673

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