Evidence map›Paper›PMID 41324958›Full record

ArticleJAMA network open2025

Statewide Transfer Coordination and Patient Transfer Rates Among Hospitals During Occupancy Stress.

Mary E Richert, Guoqing Diao, Alex Mancera, Brittany Badesch, Maniraj Neupane, Roxana Amirahmadi, Sadia H Sarzynski, Sarah Warner, Joel S Weissman, Eric Goralnick and 8 more

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

18 authors.

Mary E RichertCritical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland.
Guoqing DiaoCritical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland.
Alex ManceraCritical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland.
Brittany BadeschCritical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland.
Maniraj NeupaneCritical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland.
Roxana AmirahmadiCritical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland.
Sadia H SarzynskiCritical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland.
Sarah WarnerCritical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland.
Joel S WeissmanCenter for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Eric GoralnickCenter for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Brian J FranklinDepartment of Emergency Medicine, Stanford University, Palo Alto, California.
Bruce J SwihartCritical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland.
Lisa VillarroelArizona Department of Health Services, Phoenix.
John L HickHennepin Healthcare, University of Minnesota, Minneapolis.
Steven H MitchellDepartment of Emergency Medicine, University of Washington, Seattle.
Parneet KaurData Coordinating Center, University of Utah, Salt Lake City.
Benjamin FisherData Coordinating Center, University of Utah, Salt Lake City.
Sameer S KadriCritical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Some US states established state medical operations coordination centers (SMOCCs) during the pandemic to coordinate transfers and maximize care delivery when available beds were limited. Understanding their associations might inform their continued value in helping reduce delays and minimize strain during public health emergency conditions. Objective: To examine the association of SMOCC establishment with adult interhospital transfers (IHTs) during pandemic surges. Design, Setting, and Participants: This interrupted time series cohort study evaluated hospitalized adults (aged ≥18 years) from 8 US states. Data analysis was completed in March 2025. Exposure: SMOCC establishment. SMOCC initiation was adjudicated through a published survey and inquiries with state health departments. Main Outcomes and Measures: Outcome measures were immediate and long-term change in IHT by emergency medical services (EMS) agencies that continuously reported in the National EMS Information Systems database between June 1, 2020, and December 30, 2022. The inflection point (SMOCC establishment) was centered using relative dates while controlling for seasonality. Hospital occupancy stress was measured using daily hospital census and staffed bed counts and weighted by fixed bed capacity. Effect modification by increasing occupancy stress across study states was tested using an interaction term. Findings were validated in several subset analyses. Results: Across the study's 8 states (Alaska, Colorado, Idaho, Maryland, North Carolina, Oregon, Utah, and Virginia), 441 709 transfers (median [IQR] age, 61.0 [44.0-73.0] years; 227 982 [51.6%] male) were analyzed, with 321 078 (72.8%) occurring after SMOCC establishment. SMOCC establishment was associated with an immediate increase (rate ratio [RR], 1.35; 95% CI, 1.05-1.74; P = .02) followed by a long-term decrease (RR, 0.94; 95% CI, 0.90-0.97; P < .001) in transfer rates. A significant increase in transfers per decile increase in occupancy stress was observed 40 weeks into SMOCC establishment (RR, 1.23; 95% CI, 1.06-1.42; P = .007). Findings were similar across transfers grouped by urbanicity, mode of transport, patient age, and acuity. Conclusions and Relevance: In this cohort study of 8 US states, pandemic initiation of a SMOCC was associated with an immediate increase in transfer rates between hospitals of approximately 35% after establishment and, after a potential lag, appeared to meet an increasing demand for transferring patients during surges. These results suggest that activating SMOCCs during large-scale public health emergencies might improve access to care and mitigate transfer gridlocks, but their utility during routine times warrants study.

Indexed as

COVID-19Emergency Medical ServicesPatient TransferAdultAgedCohort StudiesFemaleHumansInterrupted Time Series AnalysisMaleMiddle AgedUnited States

Identifiers

PMID41324958
PMCPMC12670198

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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.