Evidence map›Paper›PMID 37858271›Full record

ArticleInjury epidemiology2023

Hospitalization and readmission after single-level fall: a population-based sample.

Alan Cook, Rebecca Swindall, Katherine Spencer, Carly Wadle, S Andrew Cage, Musharaf Mohiuddin, Yagnesh Desai, Scott Norwood

Abstract read
In one paragraph

Article in Injury epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Alan CookTrauma Services, UT Health East Texas, 1020 E. Idel St., Tyler, TX, 75701, USA.
Rebecca SwindallDepartment of Epidemiology and Biostatistics, The University of Texas Health Science Center at Tyler, 11937 US Highway 271, Room H252, Tyler, TX, 75708, USA.
Katherine SpencerCHRISTUS Health-Texas A&M Spohn Emergency Medicine Residency, Texas A&M University-Corpus Christi, 600 Elizabeth Street, 9B, Corpus Christi, TX, 78404, USA.
Carly WadleDepartment of Epidemiology and Biostatistics, The University of Texas Health Science Center at Tyler, 11937 US Highway 271, Room H252, Tyler, TX, 75708, USA.
S Andrew CageDepartment of Sports Medicine, The University of Texas at Tyler, 3900 University Blvd., Tyler, TX, 75799, USA.
Musharaf MohiuddinDepartment of Epidemiology and Biostatistics, The University of Texas Health Science Center at Tyler, 11937 US Highway 271, Room H252, Tyler, TX, 75708, USA. musharaf.mohiuddin@uthct.edu.ORCID http://orcid.org/0000-0002-9403-7730
Yagnesh DesaiDepartment of Emergency Medicine, UT Health East Texas, 1000 S. Beckham Ave., Tyler, TX, 75701, USA.
Scott NorwoodTrauma Services, UT Health East Texas, 1020 E. Idel St., Tyler, TX, 75701, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSingle-level falls (SLFs) in the older US population is a leading cause of hospital admission and rates are increasing. Unscheduled hospital readmission is regarded as a quality-of-care indication and a preventable burden on healthcare systems. We aimed to characterize the predictors of 30-day readmission following admission for SLF injuries among patients 65 years and older.

methodsWe conducted a retrospective cohort study using the Nationwide Readmission Database from 2018 to 2019. Included patients were 65 and older, admitted emergently following a SLF with a primary injury diagnosis. Hierarchical logit regression was used to model factors associated with readmission within 30 days of discharge.

resultsOf 1,338,905 trauma patients, 65 years or older, 61.3% had a single-level fall as the mechanism of injury. Among fallers, the average age was 81.1 years and 68.5% were female. SLF patients underwent more major therapeutic procedures (56.3% vs. 48.2%), spent over 2 million days in the hospital and incurred total charges of over $28 billion annually. Over 11% of SLF patients were readmitted within 30 days of discharge. Increasing income had a modest effect, where the highest zip code quartile was 9% less likely to be readmitted. Decreasing population density had a protective effect of readmission of 16%, comparing Non-Urban to Large Metropolitan. Transfer to short-term hospital, brain and vascular injuries were independent predictors of 30-day readmission in multivariable analysis (OR 2.50, 1.31, and 1.42, respectively). Palliative care consultation was protective (OR 0.41). The subsequent hospitalizations among those 30-day readmissions were primarily emergent (92.9%), consumed 260,876 hospital days and a total of $2.75 billion annually.

conclusionsSLFs exact costs to patients, health systems, and society. Transfer to short-term hospitals at discharge, along with brain and vascular injuries were strong predictors of 30-day readmission and warrant mitigation strategy development with consideration of expanded palliative care consultation.

Indexed as

FallsGeriatric traumaHospital chargesHospitalizationPalliative careReadmission

Identifiers

PMID37858271
PMCPMC10588028

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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.