ArticleJAMA internal medicine2018
Patient-Sharing Networks of Physicians and Health Care Utilization and Spending Among Medicare Beneficiaries.
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.
What it found
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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.
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.
Who cites it
61 citing papers in PubMed.
- Article
- Characteristics of referral networks for stroke patients among medical institutions under a tiered healthcare system: a social network analysis.BMC health services research · 2026Article
- Stage of Disease Among Hospitalized Persons Living With Dementia: A Multisite Study.Journal of the American Medical Directors Association · 2026Article
- Understanding Collaborative CT and MRI Utilization Through Network Analysis: Retrospective Study Using Administrative Claims Data.JMIR formative research · 2026Observational
- Dissecting medical referrals in health services: role of physician professional networks.BMC health services research · 2026Article
- Peer effects on appropriate antibiotic prescribing within a patient-sharing physician network in China.Communications medicine · 2025Article
- A Scoping Review of Multilevel Patient-Sharing Network Measures in Health Services Research.Medical care research and review : MCRR · 2025Article
- Methodology for supervised optimization of the construction of physician shared-patient networks.Statistical methods in medical research · 2025Article
- Analysis of the patient-sharing network in hypertension management: a retrospective study in China.BMJ open · 2025Article
- The association of prescriber prominence in a shared-patient physician network with their patients receipt of and transitions between risky drug combinations.Applied network science · 2025Article
- 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.) · 2025Article
- Evaluation via simulation of statistical corrections for network nonindependence.Health services & outcomes research methodology · 2024Article
- 2024 Alzheimer's disease facts and figures.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Article
- Within-Physician Differences in Patient Sharing Between Primary Care Physicians and Cardiologists Who Treat White and Black Patients With Heart Disease.Journal of the American Heart Association · 2023Article
- Physician patient sharing relationships within insurance plan networks.Health services research · 2023Article
- Effectiveness of hierarchical medical system policy: an interrupted time series analysis of a pilot scheme in China.Health policy and planning · 2023Article
- Primary Care Provider Experience With Proactive E-Consults to Improve COPD Outcomes and Access to Specialty Care.Chronic obstructive pulmonary diseases (Miami, Fla.) · 2023Article
- Telehealth Use Following COVID-19 Within Patient-Sharing Physician Networks at a Rural Comprehensive Cancer Center: Cross-sectional Analysis.JMIR cancer · 2023Article
- GRANDPA: GeneRAtive network sampling using degree and property augmentation applied to the analysis of partially confidential healthcare networks.Applied network science · 2023Article
1 more citing papers are in PubMed but not listed here.
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6 authors.
Funding
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.
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