Evidence map›Paper›PMID 22249921›Full record

ArticleMedical care2012

Variability in case-mix adjusted in-hospital cardiac arrest rates.

Raina M Merchant, Lin Yang, Lance B Becker, Robert A Berg, Vinay Nadkarni, Graham Nichol, Brendan G Carr, Nandita Mitra, Steven M Bradley, Benjamin S Abella and 2 more

Abstract read
In one paragraph

Article in Medical care, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
  2. Observational
  3. Article
  4. Review
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  9. Observational
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  17. Article
  18. Hospital variation in survival after in-hospital cardiac arrest.Journal of the American Heart Association · 2014
    Article
  19. Article
  20. Article
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

12 authors.

Raina M MerchantDepartment of Emergency Medicine, The Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania, USA. raina.merchant@uphs.upenn.edu
Lin Yang
Lance B Becker
Robert A Berg
Vinay Nadkarni
Graham Nichol
Brendan G Carr
Nandita Mitra
Steven M Bradley
Benjamin S Abella
Peter W Groeneveld
American Heart Association Get With the Guideline-Resuscitation Investigators

Funding

Resuscitation Outcomes Consortium (ROC) Data Coordinating CenterU01HL077863 · NHLBI · UNIVERSITY OF WASHINGTON · PI MAY, SUSANNE · 2004 to 2015
$125.1M
Mild Hypothermia for Resuscitated Out-of-Hospital Cardiac Arrest PatientsR01HL089554 · NHLBI · UNIVERSITY OF WASHINGTON · PI KIM, FRANCIS · 2008 to 2012
$3.7M
Novel Methods of Measuring Health DisparitiesRC2HL101759 · NHLBI · UNIVERSITY OF WASHINGTON · PI MOKDAD, ALI H, MURRAY, CHRISTOPHER J.L. · 2009 to 2010
$3.4M
Implications of cardiovascular technology diffusion among Medicare beneficiariesR01HL086919 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI GROENEVELD, PETER W. · 2007 to 2009
$1.6M
Understanding the drivers of hospital performance for in-hospital cardiac arrestK23HL109083 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI MERCHANT, RAINA · 2011 to 2015
$692k
Pilot Study of Hemofiltration after Out-of-Hospital Cardiac ArrestR21HL093641 · NHLBI · UNIVERSITY OF WASHINGTON · PI NICHOL, GRAHAM · 2009 to 2012
$429k
NHLBI NIH HHS 1-R01-HL086919NHLBI NIH HHS K23 HL109083NHLBI NIH HHS R01 HL086919NHLBI NIH HHS R01 HL089554NHLBI NIH HHS R01 HL089554-03NHLBI NIH HHS R21 HL093641NHLBI NIH HHS R21 HL093641-01A1NHLBI NIH HHS RC2 HL101759NHLBI NIH HHS U01 HL077863NHLBI NIH HHS U01 HL077863-05
6 · The paper itself

Abstract

backgroundIt is unknown how in-hospital cardiac arrest (IHCA) rates vary across hospitals and predictors of variability.

objectivesMeasure variability in IHCA across hospitals and determine if hospital-level factors predict differences in case-mix adjusted event rates. RESEARCH

designGet with the Guidelines Resuscitation (GWTG-R) (n=433 hospitals) was used to identify IHCA events between 2003 and 2007. The American Hospital Association survey, Medicare, and US Census were used to obtain detailed information about GWTG-R hospitals.

participantsAdult patients with IHCA. MEASURES: Case-mix-adjusted predicted IHCA rates were calculated for each hospital and variability across hospitals was compared. A regression model was used to predict case-mix adjusted event rates using hospital measures of volume, nurse-to-bed ratio, percent intensive care unit beds, palliative care services, urban designation, volume of black patients, income, trauma designation, academic designation, cardiac surgery capability, and a patient risk score.

resultsWe evaluated 103,117 adult IHCAs at 433 US hospitals. The case-mix adjusted IHCA event rate was highly variable across hospitals, median 1/1000 bed days (interquartile range: 0.7 to 1.3 events/1000 bed days). In a multivariable regression model, case-mix adjusted IHCA event rates were highest in urban hospitals [rate ratio (RR), 1.1; 95% confidence interval (CI), 1.0-1.3; P=0.03] and hospitals with higher proportions of black patients (RR, 1.2; 95% CI, 1.0-1.3; P=0.01) and lower in larger hospitals (RR, 0.54; 95% CI, 0.45-0.66; P<0.0001).

conclusionsCase-mix adjusted IHCA event rates varied considerably across hospitals. Several hospital factors associated with higher IHCA event rates were consistent with factors often linked with lower hospital quality of care.

Indexed as

AdultHealth Facility SizeHeart ArrestHospitalsHumansQuality Indicators, Health CareRegistriesRisk AdjustmentUnited States

Identifiers

PMID22249921
PMCPMC3260453

What OpenQuestion holds

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Registered trials

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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.