Evidence map›Paper›PMID 35769114›Full record

ArticleHealth services research and managerial epidemiology

Association of Early and Late Hospital Readmissions with a Novel Housing-Based Socioeconomic Measure.

Kaitlyn I Zurek, Christopher L Boswell, Nathanial E Miller, Jennifer L Pecina, Matthew D Decker, Chung I Wi, Gregory M Garrison

Open access · goldAbstract read
In one paragraph

Article in Health services research and managerial epidemiology. 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
1.1field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

7 authors at 2 institutions in 1 country.

Kaitlyn I ZurekDivision of Hospital Medicine, Mayo Clinic, Rochester, MN, USA.
Christopher L BoswellDepartment of Family Medicine, Mayo Clinic, Rochester, MN, USA.
Nathanial E MillerDepartment of Family Medicine, Mayo Clinic, Rochester, MN, USA.
Jennifer L PecinaDepartment of Family Medicine, Mayo Clinic, Rochester, MN, USA.
Matthew D DeckerDepartment of Family Medicine, Mayo Clinic, Rochester, MN, USA.
Chung I WiDepartment of Pediatric and Adolescent Medicine, Precision Population Science Lab, Mayo Clinic, Rochester, MN, USA.
Gregory M GarrisonDepartment of Family Medicine, Mayo Clinic, Rochester, MN, USA.ORCID https://orcid.org/0000-0001-6903-4610
Mayo Clinic in Arizona · USMayo Clinic · US

Funding

Mayo Clinic Center for Clinical and Translational Science (CCaTS UL1 Supplement - Dr. Timothy Curry)UL1TR002377 · NCATS · MAYO CLINIC ROCHESTER · PI VESNA D GAROVIC · 2017 to 2026
$78.4M
NCATS NIH HHS UL1 TR002377
6 · The paper itself

Abstract

Background: While socioeconomic status has been linked to hospital readmissions for several conditions, reliable measures of individual socioeconomic status are often not available. HOUSES, a new measure of individual socioeconomic status based upon objective public data about one's housing unit, is inversely associated with overall hospitalization rate but it has not been studied with respect to readmissions. Purpose: To determine if patients in the lowest HOUSES quartile are more likely to be readmitted within 30 days (short-term) and 180 days (long-term). Methods: A retrospective cohort study of 11 993 patients having 21 633 admissions was conducted using generalized linear mixed-effects models. Results: HOUSES quartile did not show any significant association with early readmission. However, when compared to the lowest HOUSES quartile, the second quartile (OR = 0.90, 95%CI 0.83-0.98) and the third quartile (OR = 0.91, 95%CI 0.83-0.99) were associated with lower odds of late readmission while the highest quartile (OR = 0.91, 95%CI 0.82-1.01) was not statistically different. Conclusion: HOUSES was associated with late readmission, but not early readmission. This may be because early readmissions are influenced by medical conditions and hospital care while late readmissions are influenced by ambulatory care and home-based factors. Since HOUSES relies on public county assessor data, it is generally available and may be used to focus interventions on those at highest risk for late readmission.

Indexed as

health outcomeshospital readmissionmanagerial epidemiologymedical informaticssocial determents of health

Identifiers

PMID35769114
PMCPMC9234927
OpenAlexW4283750697

What OpenQuestion holds

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LicenceCC BY-NC
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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.