Evidence map›Paper›PMID 39510532›Full record

ArticleHealth literacy research and practice2024

Association of Social Determinants of Health With Hospital Readmission and Mortality: A Prospective Cohort Study.

Amanda S Mixon, Kathryn Goggins, Samuel Nwosu, Yaping Shi, Jonathan S Schildcrout, Kenneth A Wallston, Gabriela Leon-Perez, Frank E Harrell, Susan P Bell, Lindsay S Mayberry and 5 more

Abstract read
In one paragraph

Article in Health literacy research and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
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

15 authors.

Amanda S Mixon
Kathryn Goggins
Samuel Nwosu
Yaping Shi
Jonathan S Schildcrout
Kenneth A Wallston
Gabriela Leon-Perez
Frank E Harrell
Susan P Bell
Lindsay S Mayberry
Eduard E Vasilevskis
John F Schnelle
Russell L Rothman
Sunil Kripalani
Vanderbilt Inpatient Cohort Study

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe relative contributions of common patient-reported social determinants of health on 30- and 90-day post-discharge outcomes among patients with acute coronary syndromes (ACS) is unclear.

objectiveThe aim of this article is to examine the independent associations of social determinants with readmission or death, accounting for medical history.

methodsParticipants included adults who were hospitalized with ACS at an academic medical center. Domains measured were social support, health literacy/numeracy, and socioeconomic status (SES) (including education and difficulty paying bills). We employed multivariable Cox proportional hazard models to study associations with time to all-cause readmission or death, up to 30 or 90 days after discharge, and adjusted for demographics and medical history (prior admissions and Elixhauser comorbidity index). KEY

resultsAmong 1,168 patients with ACS and no history of heart failure, more prior admissions, and higher comorbidity index (the medical history domain) were associated with higher rates of 30- and 90-day readmission or death (domain

conclusionsIn addition to medical history, the domain of health literacy and numeracy was independently associated with readmission or death of patients with ACS during the 90 days after hospital discharge. [

Indexed as

Acute Coronary SyndromeHealth LiteracyPatient ReadmissionSocial Determinants of HealthAdultAgedFemaleHumansMaleMiddle AgedPatient DischargeProportional Hazards ModelsProspective StudiesSocial ClassSocial Support

Identifiers

PMID39510532
PMCPMC11540449

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.