Evidence map›Paper›PMID 42344455›Full record

ArticleAnnals of surgery open : perspectives of surgical history, education, and clinical approaches2026

State of Surgical Readmissions Within the Military Health System (2020-2023).

Felicia Yeboah Denteh, Amanda L Banaag, Hongyan Wu, Andrew J Schoenfeld, Tracey Pérez Koehlmoos

Abstract read
In one paragraph

Article in Annals of surgery open : perspectives of surgical history, education, and clinical approaches, 2026. 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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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Felicia Yeboah DentehFrom the Center for Health Services Research, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Rd, Bethesda, MD.
Amanda L BanaagFrom the Center for Health Services Research, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Rd, Bethesda, MD.
Hongyan WuFrom the Center for Health Services Research, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Rd, Bethesda, MD.
Andrew J SchoenfeldDepartment of Orthopaedic Surgery, Center for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Tracey Pérez KoehlmoosFrom the Center for Health Services Research, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Rd, Bethesda, MD.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the current state of healthcare disparities within the Military Health System, comparing Department of Defense facilities to treatment outsourced to the civilian sector. Background: Racial disparities in healthcare outcomes remain a critical concern in the US, even in the setting of universal insurance provisions. Despite prior studies suggesting reduced disparities within the Military Health System, challenges such as reduced surgical volume, staffing shortages, and the COVID-19 pandemic may have exacerbated inequalities, particularly among racial and ethnic minorities. Methods: We performed a retrospective cohort study of healthcare claims data evaluating 90-day readmission in adult TRICARE beneficiaries undergoing surgical procedures between 2020 and 2023. The outcome of interest was readmission to an inpatient facility within 90-days of the index surgery, irrespective of the original site of service. Multivariable logistic regression and interaction analyses assessed the association of race, surgical care settings, Charlson Comorbidity Index (CCI) score, and patient characteristics with 90-day readmission. Results: A total of 262,344 surgeries among 244,008 beneficiaries were identified for inclusion. Black patients with CCI of 0 were more likely to experience 90-day readmissions to private sector hospitals (adjusted odds ratio [AOR] = 1.19; 95% confidence interval [CI] = 1.17-1.22) and direct care facilities (AOR = 1.08; 95% CI = 1.05-1.11). Readmission in direct care was appreciated for Hispanic patients with a CCI of 1 (AOR = 1.14; 95% CI = 1.13-1.15). Conclusion: We found significant increases in 90-day readmissions among Black and Hispanic patients based on CCI score within the direct care setting. We believe this reflects recent challenges that have impacted both staffing and surgical volume within these facilities.

Indexed as

disparitiesmilitary health systemmilitary medicineoutcomesproceduressurgical

Identifiers

PMID42344455
PMCPMC13290184

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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.