Evidence map›Paper›PMID 29181504›Full record

ArticleJAMA internal medicine2018

Patient-Sharing Networks of Physicians and Health Care Utilization and Spending Among Medicare Beneficiaries.

Bruce E Landon, Nancy L Keating, Jukka-Pekka Onnela, Alan M Zaslavsky, Nicholas A Christakis, A James O'Malley

Abstract read
In one paragraph

Article in JAMA internal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
–field-weighted citation impact
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

61 citing papers in PubMed.

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  11. Characterizing Physician Referral Networks with Ricci Curvature.Pediatric and lifespan data science : First International Conference, IPLDSC 2024, Anaheim, CA, USA, May 23-24, 2024, Revised Selected Papers. International Pediatric and Lifespan Data Science Conference (1st : 2024 : Anaheim, Calif.) · 2025
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  12. Evaluation via simulation of statistical corrections for network nonindependence.Health services & outcomes research methodology · 2024
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  13. 2024 Alzheimer's disease facts and figures.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
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1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Bruce E LandonDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Nancy L KeatingDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Jukka-Pekka OnnelaDepartment of Biostatistics, Harvard School of Public Health, Boston, Massachusetts.
Alan M ZaslavskyDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Nicholas A ChristakisYale Institute of Network Sciences, Yale University, New Haven, Connecticut.
A James O'MalleyThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
NCI NIH HHS P30 CA023108
6 · The paper itself

Abstract

Importance: Physicians are embedded in informal networks in which they share patients, information, and behaviors. Objective: We examined the association between physician network properties and health care spending, utilization, and quality of care among Medicare beneficiaries. Design, Setting, and Participants: In this cross-sectional study, we applied methods from social network analysis to Medicare administrative data from 2006 to 2010 for an average of 3 761 223 Medicare beneficiaries per year seen by 40 241 physicians practicing in 51 hospital referral regions (HRRs) to identify networks of physicians linked by shared patients. We improved on prior methods by restricting links to physicians who shared patients for distinct episodes of care, thereby excluding potentially spurious linkages between physicians treating common patients but for unrelated reasons. We also identified naturally occurring communities of more tightly linked physicians in each region. We examined the relationship between network properties measured in the prior year and outcomes in the subsequent year using regression models. Main Outcomes and Measures: Spending on total medical services, hospital, physician, and other services, use of services, and quality of care. Results: The mean patient age across the 5 years of study was 72.3 years and 58.5% of the participants were women. The mean age across communities of included physicians was 49 years and approximately 78% were men. Mean total annual spending per patient was $10 051. Total spending was higher for patients of physicians with more connections to other physicians ($1009 for a 1-standard deviation increase, P < .001) and more shared care outside of their community ($172, P < .001). Spending on inpatient care was slightly lower for patients of physicians whose communities had higher proportions of primary care physicians (-$38, P < .001). Patients cared for by physicians linked to more physicians also had more hospital admissions and days (0.02 and 0.18, respectively; both P < .001 for a 1-standard deviation increase in the number of connected physicians), more emergency visits (0.02, P < .001), more visits to specialists (0.37, P < .001), and more primary care visits (0.11, P < .001). Patients whose physicians' networks had more primary care physicians had more primary care visits (0.44, P < .001) and fewer specialist and emergency visits (-0.33 [P < .001] and -0.008 [P = .008], respectively). The various measures of quality were inconsistently related to the network measures. Conclusions and Relevance: Characteristics of physicians' networks and the position of physicians in the network were associated with overall spending and utilization of services for Medicare beneficiaries.

Indexed as

AgedCommunity NetworksCross-Sectional StudiesFee-for-Service PlansFemaleHealth ExpendituresHumansMaleMedicareMiddle AgedPatient Acceptance of Health CarePhysiciansPrimary Health CareReferral and ConsultationRetrospective StudiesUnited States

Identifiers

PMID29181504
PMCPMC5833496

What OpenQuestion holds

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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.