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Inpatient Hospital Charge Variability of U.S. Hospitals

Overview of attention for article published in Journal of General Internal Medicine, May 2015
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Article details
Title
Inpatient Hospital Charge Variability of U.S. Hospitals
Published in
Journal of General Internal Medicine, May 2015
DOI 10.1007/s11606-015-3352-0
Pubmed ID
Authors
Abstract

The range of hospital charges for similar diagnoses show tremendous variability across U.S. hospitals. This charge variability remains unexplained. We aimed to describe hospital charge variability in the U.S. and examine its relationship to local health factors. This was a descriptive study of the 2011 Medicare Inpatient Charge data summarizing inpatient hospital charges billed to Medicare. This data was evaluated using 29 county-level measures of health status, health behavior, clinical access and quality, built environment, and socioeconomic status in a clustered, multivariate linear regression. 2871 U.S. hospitals registered with Medicare and with at least ten discharges for diagnosis-related groups (DRGs) of six common inpatient conditions. Inpatient hospital charges were assessed. No community health measures were associated with hospital charges. The one notable exception associated with higher charges was higher rates of uninsured status ($344.84 higher charges for every one-percentage point increase in prevalence (p < 0.001)). One variable was associated with lower hospital charges: the percentage of children living in poverty [$309.30 lower charges for every one-percentage point increase in prevalence (p < 0.001)]. Overall, hospital charges lacked an association with population health measures, and their variability remains largely unexplained. However, the association of higher charges with uninsured status raises concerns about hospitals' price-setting strategies, such as price discrimination and cost-shifting strategies that expose vulnerable populations to great financial risks.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Spain 1 2%
Unknown 50 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 12 24%
Student > Bachelor 5 10%
Student > Master 5 10%
Student > Doctoral Student 4 8%
Professor > Associate Professor 3 6%
Other 5 10%
Unknown 17 33%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 11 22%
Social Sciences 7 14%
Nursing and Health Professions 3 6%
Business, Management and Accounting 2 4%
Economics, Econometrics and Finance 2 4%
Other 4 8%
Unknown 22 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 September 2015.
All research outputs
#19,440,618
of 23,911,072 outputs
Outputs from Journal of General Internal Medicine
#6,622
of 7,806 outputs
Outputs of similar age
#197,173
of 267,312 outputs
Outputs of similar age from Journal of General Internal Medicine
#85
of 121 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
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