Evidence map›Paper›PMID 41110691›Full record

ArticleChest2026

Post-ICU Care Trajectories and Outcomes Among Veterans: Comparing Veterans Affairs and Community Hospital Discharges.

Zachary Hahn, Hiam Naiditch, Martha F Brucato, Victor Talisa, Brian Tyler, John R Hotchkiss, Sachin Yende, Bryan J McVerry, Florian B Mayr

Abstract readComparative Study
In one paragraph

Article in Chest, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. Post-Intensive Care Fragmentation Among Rural Veterans: Transitions Between VA and Community Health Systems.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026
    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

9 authors.

Zachary HahnVA Maine Togus Medical Center, Augusta, ME.
Hiam NaiditchVA Pittsburgh Healthcare System, Critical Care Service Line, Pittsburgh, PA; Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA; Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Martha F BrucatoVA Pittsburgh Healthcare System, Critical Care Service Line, Pittsburgh, PA; Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Victor TalisaVA Pittsburgh Healthcare System, Critical Care Service Line, Pittsburgh, PA; Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Brian TylerVA Maine Togus Medical Center, Augusta, ME.
John R HotchkissVA Pittsburgh Healthcare System, Critical Care Service Line, Pittsburgh, PA.
Sachin YendeClinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, University of Pittsburgh School of Medicine, Pittsburgh, PA; Office of Integrated Veteran Care, Veterans Health Administration, Washington, DC.
Bryan J McVerryVA Pittsburgh Healthcare System, Critical Care Service Line, Pittsburgh, PA; Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA; Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Florian B MayrVA Pittsburgh Healthcare System, Critical Care Service Line, Pittsburgh, PA; Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, University of Pittsburgh School of Medicine, Pittsburgh, PA. Electronic address: florian.mayr@pitt.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSurvivors of critical illness face fragmented care transitions, leading to readmissions, emergency care use, and death. The Veterans Affairs (VA) Patient Aligned Care Team model emphasizes coordinated outpatient follow-up, yet many veterans now receive VA-purchased intensive care at community hospitals, potentially disrupting continuity. RESEARCH QUESTION: How do outcomes after ICU care differ for veterans discharged from VA medical centers vs community hospitals, and what recovery trajectories emerge after discharge? STUDY DESIGN AND

methodsWe conducted a retrospective cohort study of 311,224 veterans discharged home after medical ICU admission (2016-2023) using VA Corporate Data Warehouse and VA-purchased care claims. Outcomes included primary care visits, emergency department (ED) use, readmissions, mortality, and hospital-free days. Fine-Gray subdistribution hazard models estimated 30-day and 90-day risks, accounting for competing risks and adjusting for demographics, comorbidities, and facility clustering. Marginal standardization yielded adjusted risks, risk differences, and hazard ratios. A Bayesian mediation analysis tested whether 30-day primary care follow-up mediated readmission risk. Weekly transitions across 5 states-home, primary care visit, ED visit, readmission, and death-were analyzed with state sequence clustering.

resultsOf 311,224 survivors of ICU stays, 36.9% were discharged from VA hospitals and 63.1% were discharged from community hospitals. At 30 days, patients from VA hospitals showed higher primary care follow-up rates (20.2% vs 15.3%), but higher 90-day readmission rates (27.0% vs 24.4%) and mortality rates (8.4% vs 7.3%). Patients discharged from community hospitals relied more on ED visits (32.1% vs 25.7%). Mediation analysis showed early primary care was protective, but explained little of the VA-community difference. Trajectory clustering revealed diverse recovery patterns, ranging from high primary care with low readmission to recurrent acute care use or early death.

interpretationOur results showed that patients discharged from VA hospitals received earlier primary care, but showed higher readmission and mortality, whereas patients discharged from community hospitals made fewer visits but more ED use, highlighting the need for structured, risk-stratified transitional care.

Indexed as

Critical CareCritical IllnessHospitals, CommunityHospitals, VeteransIntensive Care UnitsPatient DischargeVeteransAgedEmergency Service, HospitalFemaleHumansMaleMiddle AgedPatient ReadmissionPrimary Health CareRetrospective StudiesBayesian mediation analysiscommunity carecritical illnesshealth care trajectoriespost-ICU follow-upveterans

Identifiers

PMID41110691
PMCPMC13197970

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.