Breadth and Exclusivity of Hospital and Physician Networks in US Insurance Markets.


Journal

JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235

Informations de publication

Date de publication:
01 12 2020
Historique:
entrez: 17 12 2020
pubmed: 18 12 2020
medline: 29 1 2021
Statut: epublish

Résumé

Little is known about the breadth of health care networks or the degree to which different insurers' networks overlap. To quantify network breadth and exclusivity (ie, overlap) among primary care physician (PCP), cardiology, and general acute care hospital networks for employer-based (large group and small group), individually purchased (marketplace), Medicare Advantage (MA), and Medicaid managed care (MMC) plans. This cross-sectional study included 1192 networks from Vericred. The analytic unit was the network-zip code-clinician type-market, which captured attributes of networks from the perspective of a hypothetical patient seeking access to in-network clinicians or hospitals within a 60-minute drive. Enrollment in a private insurance plan. Percentage of in-network physicians and/or hospitals within a 60-minute drive from a hypothetical patient in a given zip code (breadth). Number of physicians and/or hospitals within each network that overlapped with other insurers' networks, expressed as a percentage of the total possible number of shared connections (exclusivity). Descriptive statistics (mean, quantiles) were produced overall and by network breadth category, as follows: extra-small (<10%), small (10%-25%), medium (25%-40%), large (40%-60%), and extra-large (>60%). Networks were analyzed by insurance type, state, and insurance, physician, and/or hospital market concentration level, as measured by the Hirschman-Herfindahl index. Across all US zip code-network observations, 415 549 of 511 143 large-group PCP networks (81%) were large or extra-large compared with 138 485 of 202 702 MA (68%), 191 918 of 318 082 small-group (60%), 60 425 of 149 841 marketplace (40%), and 21 781 of 66 370 MMC (40%) networks. Large-group employer networks had broader coverage than all other network plans (mean [SD] PCP breadth: large-group employer-based plans, 57.3% [20.1]; small-group employer-based plans, 45.7% [21.4]; marketplace, 36,4% [21.2]; MMC, 32.3% [19.3]; MA, 47.4% [18.3]). MMC networks were the least exclusive (a mean [SD] overlap of 61.3% [10.5] for PCPs, 66.5% [9.8] for cardiology, and 60.2% [12.3] for hospitals). Networks were narrowest (mean [SD] breadth 42.4% [16.9]) and most exclusive (mean [SD] overlap 47.7% [23.0]) in California and broadest (79.9% [16.6]) and least exclusive (71.1% [14.6]) in Nebraska. Rising levels of insurer and market concentration were associated with broader and less exclusive networks. Markets with concentrated primary care and insurance markets had the broadest (median [interquartile range {IQR}], 75.0% [60.0%-83.1%]) and least exclusive (median [IQR], 63.7% [52.4%-73.7%]) primary care networks among large-group commercial plans, while markets with least concentration had the narrowest (median [IQR], 54.6% [46.8%-67.6%]) and most exclusive (median [IQR], 49.4% [41.9%-56.9%]) networks. In this study, narrower health care networks had a relatively large degree of overlap with other networks in the same geographic area, while broader networks were associated with physician, hospital, and insurance market concentration. These results suggest that many patients could switch to a lower-cost, narrow network plan without losing in-network access to their PCP, although future research is needed to assess the implications for care quality and clinical integration across in-network health care professionals and facilities in narrow network plans.

Identifiants

pubmed: 33331918
pii: 2774285
doi: 10.1001/jamanetworkopen.2020.29419
pmc: PMC7747020
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2029419

Subventions

Organisme : AHRQ HHS
ID : K12 HS026395
Pays : United States
Organisme : AHRQ HHS
ID : R01 HS025976
Pays : United States

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Auteurs

John A Graves (JA)

Department of Medicine, Vanderbilt University School of Medicine and Vanderbilt University Medical Center, Nashville, Tennessee.
Department of Health Policy, Vanderbilt University School of Medicine and Vanderbilt University Medical Center, Nashville, Tennessee.

Leonce Nshuti (L)

Vanderbilt University School of Medicine and Vanderbilt University Medical Center, Nashville, Tennessee.

Jordan Everson (J)

Department of Health Policy, Vanderbilt University School of Medicine, Nashville, Tennessee.

Michael Richards (M)

Department of Economics, Baylor University, Waco, Texas.

Melinda Buntin (M)

Department of Health Policy, Vanderbilt University School of Medicine, Nashville, Tennessee.

Sayeh Nikpay (S)

Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis.

Zilu Zhou (Z)

Department of Health Policy, Vanderbilt University School of Medicine and Vanderbilt University Medical Center, Nashville, Tennessee.

Daniel Polsky (D)

Carey Business School, Bloomberg School of Public Health, Department of Health Policy and Management, Johns Hopkins University, Baltimore, Maryland.

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