Evidence map›Paper›PMID 27579906›Full record

ArticleMedical care2016

Hospital Use of Observation Stays: Cross-sectional Study of the Impact on Readmission Rates.

Arjun K Venkatesh, Changqin Wang, Joseph S Ross, Faseeha K Altaf, Lisa G Suter, Smitha Vellanky, Jacqueline N Grady, Susannah M Bernheim

Abstract read
In one paragraph

Article in Medical care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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.

Arjun K Venkatesh*Department of Emergency Medicine, Yale University School of Medicine †Yale New Haven Hospital/Center for Outcomes Research and Evaluation ‡Section of General Internal Medicine §Section of Rheumatology, Yale University School of Medicine, New Haven, CT.
Changqin Wang
Joseph S Ross
Faseeha K Altaf
Lisa G Suter
Smitha Vellanky
Jacqueline N Grady
Susannah M Bernheim

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 publicly reports hospital risk-standardized readmission rates (RSRRs) as a measure of quality and performance; mischaracterizations may occur because observation stays are not captured by current measures.

objectivesTo describe variation in hospital use of observation stays, the relationship between hospitals observation stay use and RSRRs. MATERIALS AND

methodsCross-sectional analysis of Medicare fee-for-service beneficiaries discharged after acute myocardial infarction (AMI), heart failure, or pneumonia between July 2011 and June 2012. We calculated 3 hospital-specific 30-day outcomes: (1) observation rate, the proportion of all discharges followed by an observation stay without a readmission; (2) observation proportion, the proportion of observation stays among all patients with an observation stay or readmission; and (3) RSRR.

resultsFor all 3 conditions, hospitals' observation rates were <2.5% and observation proportions were <12%, although there was variation across hospitals, including 28% of hospital with no observation stay use for AMI, 31% for heart failure, and 43% for pneumonia. There were statistically significant, but minimal, correlations between hospital observation rates and RSRRs: AMI (r=-0.02), heart failure (r=-0.11), and pneumonia (r=-0.02) (P<0.001). There were modest inverse correlations between hospital observation proportion and RSRR: AMI (r=-0.34), heart failure (r=-0.26), and pneumonia (r=-0.21) (P<0.001). If observation stays were included in readmission measures, <4% of top performing hospitals would be recategorized as having average performance.

conclusionsHospitals' observation stay use in the postdischarge period is low, but varies widely. Despite modest correlation between the observation proportion and RSRR, counting observation stays in readmission measures would minimally impact public reporting of performance.

Indexed as

Cross-Sectional StudiesHeart FailureHospitalizationHospitalsHumansLength of StayMyocardial InfarctionPatient ReadmissionPneumoniaWatchful Waiting

Identifiers

PMID27579906
PMCPMC5850934

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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.