Evidence map›Paper›PMID 34828471›Full record

ArticleHealthcare (Basel, Switzerland)2021

County-Level Socioeconomic Status Adjustment of Acute Myocardial Infarction Mortality Hospital Performance Measure in the U.S.

Sean Daley, Bakthameera Kajendrakumar, Samyuktha Nandhakumar, Christine Personett, Michael Sholes, Swornim Thapa, Chen Xue, Michael Korvink, Laura H Gunn

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 12% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Observational
  2. 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

9 authors at 2 institutions in 2 countries.

Sean DaleyDepartment of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
Bakthameera KajendrakumarDepartment of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
Samyuktha NandhakumarDepartment of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
Christine PersonettDepartment of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
Michael SholesDepartment of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
Swornim ThapaDepartment of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
Chen XueDepartment of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
Michael KorvinkITS Data Science, Premier, Inc., Charlotte, NC 28277, USA.ORCID 0000-0002-4802-4293
Laura H GunnDepartment of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.ORCID 0000-0003-3962-4526
University of North Carolina at Charlotte · USPremier Research Group · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The U.S. Centers for Medicare and Medicaid Services' (CMS's) Hospital Compare (HC) data provides a collection of risk-adjusted hospital performance metrics intended to allow comparison of hospital-provided care. However, CMS does not adjust for socioeconomic status (SES) factors, which have been found to be associated with disparate health outcomes. Associations between county-level SES factors and CMS's risk-adjusted 30-day acute myocardial infarction (AMI) mortality rates are explored for

Indexed as

acute myocardial infarction mortality ratehospital performance metricrisk-adjustedsocioeconomic status

Identifiers

PMID34828471
PMCPMC8620965
OpenAlexW3209162028

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.