Evidence map›Paper›PMID 39624596›Full record

ArticleJB & JS open access

Disparities in Access to and Utilization of Surgical Care for Patients with Closed Unstable AO/OTA 44B2 Ankle Fractures and Medicaid.

Joseph T Patterson, Akhil S Reddy, Jacob A Becerra, R Kiran Alluri, Fergui Hernandez, Andrew M Duong, Ryan C Ross

Abstract read
In one paragraph

Article in JB & JS open access. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Joseph T PattersonDepartment of Orthopaedic Surgery, Keck School of Medicine of the University of Southern California, Los Angeles, California.ORCID https://orcid.org/0000-0002-7494-7366
Akhil S ReddyDepartment of Orthopaedic Surgery, Keck School of Medicine of the University of Southern California, Los Angeles, California.ORCID https://orcid.org/0000-0001-6648-8465
Jacob A BecerraDepartment of Orthopaedic Surgery, Keck School of Medicine of the University of Southern California, Los Angeles, California.ORCID https://orcid.org/0000-0002-9171-2374
R Kiran AlluriDepartment of Orthopaedic Surgery, Keck School of Medicine of the University of Southern California, Los Angeles, California.ORCID https://orcid.org/0000-0001-5919-707X
Fergui HernandezDepartment of Orthopaedic Surgery, Keck School of Medicine of the University of Southern California, Los Angeles, California.ORCID https://orcid.org/0009-0000-0973-7322
Andrew M DuongDepartment of Orthopaedic Surgery, Keck School of Medicine of the University of Southern California, Los Angeles, California.
Ryan C RossDepartment of Orthopaedic Surgery, Keck School of Medicine of the University of Southern California, Los Angeles, California.ORCID https://orcid.org/0009-0009-8766-8639

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Closed, unstable AO/OTA 44B2 ankle fractures are common injuries with similar distributions by age, sex, and race. The purpose of this study was to identify disparities in access to and utilization of surgical care for these injuries. Methods: Ambulatory patients ≥18 years of age with capitated Medicaid health insurance who presented from January 2016 to February 2020 with an isolated, closed AO/OTA 44B2 ankle fracture with radiographic evidence of instability were retrospectively identified at 1 Level-I safety-net trauma center. Associations between patient characteristics (age, sex, preferred language, race, ethnicity, housing status, employment, and substance use) and measures of access to and utilization of ankle fracture surgery (days from injury to evaluation, being offered surgery, undergoing surgery, and days from evaluation to surgery) were investigated on bivariable and multivariable analysis. Results: Of the 1,116 patients who were screened, 323 met the inclusion criteria. The included patients had a median age of 41 years; 207 patients (64%) were male and 255 (79%) were Hispanic. Patients presented at a mean of 4.6 ± 7.0 days from injury. Delayed presentation was associated with self-identification as Hispanic (rate ratio [RR], 1.93; 95% confidence interval [CI]: 1.17, 3.12]) and with marijuana use (RR, 1.59; 95% CI: 1.08, 2.36), whereas significantly earlier presentation was associated with a non-English language preference (RR, 0.64; 95% CI: 0.46, 0.89), alcohol abuse (RR, 0.74; 95% CI: 0.55, 0.99), and illicit drug use (RR, 0.30; 95% CI: 0.14, 0.67). Ankle fracture surgery was offered to 274 patients (85%). Experiencing homelessness was associated with a decreased likelihood of being offered surgery (odds ratio [OR], 0.15; 95% CI: 0.03, 0.69). Of patients who were offered surgery, 216 (79%) underwent surgery. Black patients underwent surgery significantly less frequently than patients who identified as White (OR, 0.14; 95% CI: 0.01, 0.77). The median time from evaluation to surgery was 11 days (interquartile range, 7 to 14 days). Patients who used illicit drugs experienced a mean delay to surgery of 6.0 days relative to those who did not use illicit drugs (mean time to surgery, 16.8 ± 7.1 and 10.8 ± 5.1 days, respectively). Conclusions: We identified disparities in access to and utilization of surgical care for unstable AO/OTA 44B2 ankle fractures that negatively affected patients with Medicaid insurance who identified as Hispanic or Black, were experiencing homelessness, or used illicit drugs. These disparities may negatively affect outcomes for patients receiving care in similar environments, such as capitated health-care networks and public safety-net health systems. Level of Evidence: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Identifiers

PMID39624596
PMCPMC11596438

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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.