Evidence map›Paper›PMID 41533011›Full record

ArticleThe journal of trauma and acute care surgery2026

State-level variability in discharge to inpatient rehabilitation after severe traumatic injuries.

Alexander J Ordoobadi, Kimberly K Greenberg, Gracyn Campbell, Saba Ilkhani, Jeffrey C Schneider, Joel S Weissman, Zain G Hashmi, Craig Newgard, Ali Salim, Molly P Jarman

Abstract read
In one paragraph

Article in The journal of trauma and acute care surgery, 2026. 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

10 authors.

Alexander J OrdoobadiCenter for Surgery and Public Health, Department of Surgery (A.J.O., S.I., J.S.W., A.S., M.P.J.), Brigham and Women's Hospital; The Gillian Reny Stepping Strong Center for Trauma Innovation (A.J.O., A.S., M.P.J.), Brigham and Women's Hospital; Spaulding Rehabilitation, Mass General Brigham (K.K.G., J.C.S.); Harvard Medical School (G.C.); Department of Physical Medicine and Rehabilitation (J.C.S.), Harvard Medical School, Boston, Massachusetts; Division of Trauma and Acute Care Surgery, Department of Surgery (Z.G.H.), University of Alabama at Birmingham, Birmingham, Alabama; Department of Emergency Medicine (C.N.), Oregon Health & Science University, Portland, Oregon; and Division of Trauma and Acute Care Surgery (A.S.), Mass General Brigham, Boston, Massachusetts.ORCID 0000-0002-2507-6373
Kimberly K Greenberg
Gracyn Campbell
Saba Ilkhani
Jeffrey C Schneider
Joel S Weissman
Zain G Hashmi
Craig Newgard
Ali Salim
Molly P Jarman

Funding

Mitigating Injury Disparities with Evidence Based Trauma Systems PlanningR01MD019121 · NIMHD · BRIGHAM AND WOMEN'S HOSPITAL · PI Molly Price Jarman · 2023 to 2026
$4.2M
ACL HHS 90DPBU0008NIMHD NIH HHS R01 MD019121
6 · The paper itself

Abstract

introductionRehabilitation at inpatient rehabilitation facilities (IRFs) has been shown to improve seriously injured patients' long-term functional independence. However, not all patients with severe injuries are discharged to an IRF. The aim of this study is to examine differences in the proportion of severely injured patients discharged to IRFs across US states and assess the association between the regional supply of IRFs and the likelihood of IRF discharge.

methodsWe performed a retrospective analysis of 2021 Healthcare Cost and Utilization Project State Inpatient Databases across 13 states. We included severely injured (ISS >15) adult patients who survived to hospital discharge. We calculated the marginal probability of discharge to IRF, skilled nursing facility, home health agency, or home without services across states using a multinomial logistic regression model to control for patient demographics, insurance type, injury severity, medical comorbidities, and trauma center level. We also performed a mixed-effects logistic regression to evaluate the association between the supply of IRFs within individual states with the likelihood of discharge to IRF.

resultsWe identified 104,017 severely injured patients. Across all 13 included states, 13% of patients were discharged to IRFs. There was considerable variation in the adjusted probability of discharge to an IRF across states, ranging from 6.4% in Oregon (95% confidence interval [CI], 5.6-7.1%) to 22.1% in Kentucky (95% CI, 20.8-23.4%), after controlling for potential confounders. The state-level supply of IRFs ranged from 0.49 to 8.63 per 1,000,000 population in Maryland and Arkansas, respectively. Each additional IRF per 1,000,000 population was associated with 11% increased odds of discharge to IRF (95% CI, 1.01-1.21; p  = 0.024).

conclusionSeverely injured patients face substantial differences in accessing high-level rehabilitation care at an IRF depending on their state of residence. Increasing the availability of IRFs within underserved states may improve access to specialized rehabilitation care for trauma patients. ( J Trauma Acute Care Surg . 2026;100: 722-729. Copyright © 2025 Wolters Kluwer Health, Inc. All rights reserved.). LEVEL OF EVIDENCE: Therapeutic/Care Management; Level III.

Indexed as

Patient DischargeRehabilitation CentersWounds and InjuriesAdultAgedFemaleHumansInjury Severity ScoreMaleMiddle AgedRetrospective StudiesSkilled Nursing FacilitiesUnited StatesInpatient rehabilitation facilitypostacute caretrauma survivorship

Identifiers

PMID41533011
PMCPMC12922160

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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.