Evidence map›Paper›PMID 33331918›Full record

ArticleJAMA network open2020

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

John A Graves, Leonce Nshuti, Jordan Everson, Michael Richards, Melinda Buntin, Sayeh Nikpay, Zilu Zhou, Daniel Polsky

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  17. Dismantling the National Health Service in England.International journal of health services : planning, administration, evaluation · 2022
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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

8 authors at 5 institutions in 1 country.

John A GravesDepartment of Medicine, Vanderbilt University School of Medicine and Vanderbilt University Medical Center, Nashville, Tennessee.
Leonce NshutiVanderbilt University School of Medicine and Vanderbilt University Medical Center, Nashville, Tennessee.
Jordan EversonDepartment of Health Policy, Vanderbilt University School of Medicine, Nashville, Tennessee.
Michael RichardsDepartment of Economics, Baylor University, Waco, Texas.
Melinda BuntinDepartment of Health Policy, Vanderbilt University School of Medicine, Nashville, Tennessee.
Sayeh NikpayDivision of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis.
Zilu ZhouDepartment of Health Policy, Vanderbilt University School of Medicine and Vanderbilt University Medical Center, Nashville, Tennessee.
Daniel PolskyCarey Business School, Bloomberg School of Public Health, Department of Health Policy and Management, Johns Hopkins University, Baltimore, Maryland.
Vanderbilt University Medical Center · USVanderbilt University · USBaylor University · USJohns Hopkins University · USUniversity of Minnesota · US

Funding

Effects of Expanded Coverage on Access, Health Care and Health in the SouthR01CA189152 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GRAVES, JOHN A., MCWILLIAMS, JOHN MICHAEL · 2015 to 2019
$4.3M
Learning Health System Scholar Program at VanderbiltK12HS026395 · AHRQ · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ROTHMAN, RUSSELL L., ROUMIE, CHRISTIANNE L. · 2018 to 2022
$2.7M
Implications of Provider Network Design for Access, Affordability and Competition in Health InsuranceR01HS025976 · AHRQ · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GRAVES, JOHN A. · 2018 to 2021
$1.4M
AHRQ HHS K12 HS026395AHRQ HHS R01 HS025976
6 · The paper itself

Abstract

Importance: Little is known about the breadth of health care networks or the degree to which different insurers' networks overlap. Objective: 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. Design, Setting, and Participants: 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. Exposures: Enrollment in a private insurance plan. Main Outcomes and Measures: 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. Results: 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. Conclusions and Relevance: 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.

Indexed as

Community NetworksCross-Sectional StudiesDelivery of Health Care, IntegratedHealth Care SectorHealth Facilities, ProprietaryHealth Information SystemsHumansInsurance, HealthPrimary Health CareQuality Assurance, Health CareUnited States

Identifiers

PMID33331918
PMCPMC7747020
OpenAlexW3112735894

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.