Evidence map›Paper›PMID 24823956›Full record

ArticleCirculation. Cardiovascular quality and outcomes2014

Impact of socioeconomic status measures on hospital profiling in New York City.

Alexander B Blum, Natalia N Egorova, Eugene A Sosunov, Annetine C Gelijns, Erin DuPree, Alan J Moskowitz, Alex D Federman, Deborah D Ascheim, Salomeh Keyhani

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Circulation. Cardiovascular quality and outcomes, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Hospital readmission disparity measure for evaluating hospital performance and penalties.Archives of public health = Archives belges de sante publique · 2025
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  9. Association of Socioeconomic Area Deprivation Index with Hospital Readmissions After Colon and Rectal Surgery.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Alexander B BlumFrom the Office of Behavioral and Social Sciences Research, National Institutes of Health, Bethesda, MD (A.B.B.); Departments of Health Evidence & Policy (A.B.B., N.N.E., A.C.G., E.D., A.J.M., D.D.A.) and Division of General Internal Medicine (A.D.F., A.J.M.), Mount Sinai School of Medicine, New York, NY; and Division of General Internal Medicine, University of California at San Francisco and the San Francisco VA, San Francisco, CA (S.K.). abb@evergreenmd.org.
Natalia N EgorovaFrom the Office of Behavioral and Social Sciences Research, National Institutes of Health, Bethesda, MD (A.B.B.); Departments of Health Evidence & Policy (A.B.B., N.N.E., A.C.G., E.D., A.J.M., D.D.A.) and Division of General Internal Medicine (A.D.F., A.J.M.), Mount Sinai School of Medicine, New York, NY; and Division of General Internal Medicine, University of California at San Francisco and the San Francisco VA, San Francisco, CA (S.K.).
Eugene A SosunovFrom the Office of Behavioral and Social Sciences Research, National Institutes of Health, Bethesda, MD (A.B.B.); Departments of Health Evidence & Policy (A.B.B., N.N.E., A.C.G., E.D., A.J.M., D.D.A.) and Division of General Internal Medicine (A.D.F., A.J.M.), Mount Sinai School of Medicine, New York, NY; and Division of General Internal Medicine, University of California at San Francisco and the San Francisco VA, San Francisco, CA (S.K.).
Annetine C GelijnsFrom the Office of Behavioral and Social Sciences Research, National Institutes of Health, Bethesda, MD (A.B.B.); Departments of Health Evidence & Policy (A.B.B., N.N.E., A.C.G., E.D., A.J.M., D.D.A.) and Division of General Internal Medicine (A.D.F., A.J.M.), Mount Sinai School of Medicine, New York, NY; and Division of General Internal Medicine, University of California at San Francisco and the San Francisco VA, San Francisco, CA (S.K.).
Erin DuPreeFrom the Office of Behavioral and Social Sciences Research, National Institutes of Health, Bethesda, MD (A.B.B.); Departments of Health Evidence & Policy (A.B.B., N.N.E., A.C.G., E.D., A.J.M., D.D.A.) and Division of General Internal Medicine (A.D.F., A.J.M.), Mount Sinai School of Medicine, New York, NY; and Division of General Internal Medicine, University of California at San Francisco and the San Francisco VA, San Francisco, CA (S.K.).
Alan J MoskowitzFrom the Office of Behavioral and Social Sciences Research, National Institutes of Health, Bethesda, MD (A.B.B.); Departments of Health Evidence & Policy (A.B.B., N.N.E., A.C.G., E.D., A.J.M., D.D.A.) and Division of General Internal Medicine (A.D.F., A.J.M.), Mount Sinai School of Medicine, New York, NY; and Division of General Internal Medicine, University of California at San Francisco and the San Francisco VA, San Francisco, CA (S.K.).
Alex D FedermanFrom the Office of Behavioral and Social Sciences Research, National Institutes of Health, Bethesda, MD (A.B.B.); Departments of Health Evidence & Policy (A.B.B., N.N.E., A.C.G., E.D., A.J.M., D.D.A.) and Division of General Internal Medicine (A.D.F., A.J.M.), Mount Sinai School of Medicine, New York, NY; and Division of General Internal Medicine, University of California at San Francisco and the San Francisco VA, San Francisco, CA (S.K.).
Deborah D AscheimFrom the Office of Behavioral and Social Sciences Research, National Institutes of Health, Bethesda, MD (A.B.B.); Departments of Health Evidence & Policy (A.B.B., N.N.E., A.C.G., E.D., A.J.M., D.D.A.) and Division of General Internal Medicine (A.D.F., A.J.M.), Mount Sinai School of Medicine, New York, NY; and Division of General Internal Medicine, University of California at San Francisco and the San Francisco VA, San Francisco, CA (S.K.).
Salomeh KeyhaniFrom the Office of Behavioral and Social Sciences Research, National Institutes of Health, Bethesda, MD (A.B.B.); Departments of Health Evidence & Policy (A.B.B., N.N.E., A.C.G., E.D., A.J.M., D.D.A.) and Division of General Internal Medicine (A.D.F., A.J.M.), Mount Sinai School of Medicine, New York, NY; and Division of General Internal Medicine, University of California at San Francisco and the San Francisco VA, San Francisco, CA (S.K.).

Funding

An Evaluation of Novel Domains for Predicting 30-Day ReadmissionR01HL116522 · NHLBI · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI KEYHANI, SALOMEH · 2013 to 2017
$3.3M
NHLBI NIH HHS R01 HL116522NHLBI NIH HHS R01HL116522-01A1PHS HHS T32HP10262
6 · The paper itself

Abstract

backgroundCurrent 30-day readmission models used by the Center for Medicare and Medicaid Services for the purpose of hospital-level comparisons lack measures of socioeconomic status (SES). We examined whether the inclusion of an SES measure in 30-day congestive heart failure readmission models changed hospital risk-standardized readmission rates in New York City (NYC) hospitals. METHODS AND

resultsUsing a Centers for Medicare & Medicaid Services (CMS)-like model, we estimated 30-day hospital-level risk-standardized readmission rates by adjusting for age, sex, and comorbid conditions. Next, we examined how hospital risk-standardized readmission rates changed relative to the NYC mean with inclusion of the Agency for Healthcare Research and Quality (AHRQ)-validated SES index score. In a secondary analysis, we examined whether inclusion of the AHRQ SES index score in 30-day readmission models disproportionately impacted the risk-standardized readmission rates of minority-serving hospitals. Higher AHRQ SES scores, indicators of higher SES, were associated with lower odds (0.99) of 30-day readmission (P<0.019). The addition of the AHRQ SES index did not change the model's C statistic (0.63). After adjustment for the AHRQ SES index, 1 hospital changed status from worse than the NYC average to no different than the NYC average. After adjustment for the AHRQ SES index, 1 NYC minority-serving hospital was reclassified from worse to no different than average.

conclusionsAlthough patients with higher SES were less likely to be admitted, the impact of SES on readmission was small. In NYC, inclusion of the AHRQ SES score in a CMS-based model did not impact hospital-level profiling based on 30-day readmission.

Indexed as

Social ClassAgedAged, 80 and overFemaleHeart FailureHumansMaleMedicaidMedicareNew York CityOutcome Assessment, Health CarePatient ReadmissionQuality Indicators, Health CareUnited StatesUnited States Agency for Healthcare Research and Qualityheart failurepatient readmissionsocial class

Identifiers

PMID24823956
PMCPMC4072036

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.