Evidence map›Paper›PMID 20548253›Full record

ArticleMedical care2010

Use of administrative claims models to assess 30-day mortality among Veterans Health Administration hospitals.

Joseph S Ross, Charles Maynard, Harlan M Krumholz, Haili Sun, John S Rumsfeld, Sharon-Lise T Normand, Yun Wang, Stephan D Fihn

Abstract read
In one paragraph

Article in Medical care, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. 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

8 authors.

Joseph S RossHSR&D Research Enhancement Award Program and Geriatrics Research, Education, and Clinical Center, James J. Peters Veterans Administration Medical Center, Bronx, NY 10468, USA. joseph.ross@mssm.edu
Charles Maynard
Harlan M Krumholz
Haili Sun
John S Rumsfeld
Sharon-Lise T Normand
Yun Wang
Stephan D Fihn

Funding

Impact of Publicity Reporting Hospital Outcome Measures for Older AdultsK08AG032886 · NIA · YALE UNIVERSITY · PI ROSS, JOSEPH SOLOMON · 2008 to 2012
$738k
NIA NIH HHS K08 AG032886
6 · The paper itself

Abstract

backgroundThe Centers for Medicare and Medicaid Services (CMS) publicly reports hospital-specific risk-standardized, 30-day, all-cause, mortality rates (RSMRs) for all hospitalizations among fee-for-service Medicare beneficiaries for acute myocardial infarction (AMI), heart failure (HF), and pneumonia at non-Federal hospitals.

objectiveTo examine the performance of the statistical models used by CMS among veterans at least 65 years of age hospitalized for AMI, HF, and pneumonia in Veterans Health Administration (VHA) hospitals. RESEARCH

designCross-sectional analysis of VHA administrative claims data between October 1, 2006 and September 30, 2009. SUBJECTS: Thirteen thousand forty-six veterans hospitalized for AMI among 123 VHA hospitals; 26,379 veterans hospitalized for HF among 124 VHA hospitals; and 31,126 veterans hospitalized for pneumonia among 124 VHA hospitals. MEASURES: Hospital-specific RSMR for AMI, HF, and pneumonia hospitalizations calculated using hierarchical generalized linear models.

resultsMedian number of AMI hospitalizations per VHA hospital was 87. Average AMI RSMR was 14.3% [95% confidence interval (CI), 13.9%-14.6%] with modest heterogeneity among VHA hospitals (RSMR range: 8.4%-20.3%). The c-statistic for the AMI RSMR statistical model was 0.79. Median number of HF hospitalizations was 188. Average HF RSMR was 10.1% (95% CI, 9.9%-10.4%) with modest heterogeneity (RSMR range: 6.1%-14.9%). The c-statistic for the HF RSMR statistical model was 0.73. Median number of pneumonia hospitalizations was 221.5. Average pneumonia RSMR was 13.0% (95% CI, 12.7%-13.3%) with modest heterogeneity (RSMR range: 9.0%-18.4%). The c-statistic for the pneumonia RSMR statistical model was 0.72.

conclusionsThe statistical models used by CMS to estimate RSMRs for AMI, HF, and pneumonia hospitalizations at non-Federal hospitals demonstrate similar discrimination when applied to VHA hospitals.

Indexed as

Hospital MortalityAgedConfidence IntervalsCross-Sectional StudiesFemaleHeart FailureHospitals, VeteransHumansInsurance Claim ReportingLinear ModelsMaleMyocardial InfarctionOdds RatioPneumoniaQuality of Health Care

Identifiers

PMID20548253
PMCPMC3020977

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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.