Evidence map›Paper›PMID 27060973›Full record

ArticleHealth services research2017

Variation in Payment Rates under Medicare's Inpatient Prospective Payment System.

Sam Krinsky, Andrew M Ryan, Tod Mijanovich, Jan Blustein

Abstract read
In one paragraph

Article in Health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  4. Acute Myocardial Infarction Cohorts Defined byCirculation. Cardiovascular quality and outcomes · 2021
    Article
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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

4 authors.

Sam Krinsky1199SEIU, New York, NY.
Andrew M RyanUniversity of Michigan School of Public Health and Institute for Healthcare Policy and Innovation, Ann Arbor, MI.
Tod MijanovichNYU Steinhardt, New York, NY.
Jan BlusteinNYU Wagner/NYU School of Medicine, New York, NY.

Funding

Estimating Hospital Outcome Quality: Applications to Pay-for-PerformanceK01HS018546 · AHRQ · WEILL MEDICAL COLL OF CORNELL UNIV · PI RYAN, ANDREW M · 2010 to 2014
$742k
AHRQ HHS K01 HS018546
6 · The paper itself

Abstract

objectiveTo measure variation in payment rates under Medicare's Inpatient Prospective Payment System (IPPS) and identify the main payment adjustments that drive variation. DATA SOURCES/STUDY

settingMedicare cost reports for all Medicare-certified hospitals, 1987-2013, and Dartmouth Atlas geographic files. STUDY

designWe measure the Medicare payment rate as a hospital's total acute inpatient Medicare Part A payment, divided by the standard IPPS payment for its geographic area. We assess variation using several measures, both within local markets and nationally. We perform a factor decomposition to identify the share of variation attributable to specific adjustments. We also describe the characteristics of hospitals receiving different payment rates and evaluate changes in the magnitude of the main adjustments over time. DATA COLLECTION/EXTRACTION

methodsData downloaded from the Centers for Medicare and Medicaid Services, the National Bureau of Economic Research, and the Dartmouth Atlas. PRINCIPAL

findingsIn 2013, Medicare paid for acute inpatient discharges at a rate 31 percent above the IPPS base. For the top 10 percent of discharges, the mean rate was double the IPPS base. Variations were driven by adjustments for medical education and care to low-income populations. The magnitude of variation has increased over time.

conclusionsAdjustments are a large and growing share of Medicare hospital payments, and they create significant variation in payment rates.

Indexed as

Economics, HospitalHealth Care CostsHospitalsHumansMedicareMedicare Part AProspective Payment SystemUnited Stateshealth care costshospitalsMedicareprice variationprospective payment

Identifiers

PMID27060973
PMCPMC5346495

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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.