Evidence map›Paper›PMID 41841766›Full record

ArticleAcademic emergency medicine : official journal of the Society for Academic Emergency Medicine2026

Development and Validation of the Emergency Department Transitions Measure.

Sara Beachy, Danielle M McCarthy, Julianna Lenoir, Alexzandra Gentsch, Richard Hass, Marissa Witmer, Paula Ostroff, Melissa Tupas, Lindsey Shughart, Hailey Shughart and 1 more

Abstract readValidation Study
In one paragraph

Article in Academic emergency medicine : official journal of the Society for Academic Emergency Medicine, 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. Development and Validation of the Emergency Department Transitions Measure.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 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

11 authors.

Sara BeachySidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-7467-2075
Danielle M McCarthyFeinberg School of Medicine, Northwestern University, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-9038-2852
Julianna LenoirCenter for Connected Care, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Alexzandra GentschCenter for Connected Care, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Richard HassCollege of Population Health, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Marissa WitmerSidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Paula OstroffCenter for Connected Care, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Melissa TupasCenter for Connected Care, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Lindsey ShughartWest Virginia School of Osteopathic Medicine, Lewisburg, West Virginia, USA.
Hailey ShughartLewis Katz School of Medicine, Philadelphia, Pennsylvania, USA.
Kristin L RisingCenter for Connected Care, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.ORCID 0000-0003-3882-4956

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTransitions of care are high-risk periods for patient safety in the emergency department (ED), particularly for patients who are still in the diagnostic process and are discharged with diagnostic uncertainty. Care transitions must be improved for these patients, as one third of discharged ED patients have diagnostic uncertainty. Yet there are no validated measures that assess the quality of care transitions from the ED, limiting the ability to assess the impact of interventions. Thus, we developed and validated the ED Transitions (EDT) measure.

methodsThis mixed methods study was conducted across a large healthcare system in three phases: item generation, cognitive interviewing, and large-scale validation. Scale items were generated by experts and then iteratively refined using feedback from cognitive interviews (n = 11). The measure was then validated on a large sample of patients (n = 301) recently discharged from the ED. Exploratory structural equation modeling (ESEM) was employed to assess factor structure. Bivariate correlations were used to assess discriminant and convergent validity using the Care Transition Measure (CTM-3) and the Communication Assessment Tool-Teams (CAT-T).

resultsThe measure was iteratively refined by way of an expert panel and cognitive interviews which resulted in a 15-item measure to be used for validation. The validation sample (n = 301) was 62% women, 49% White, and the majority having Medicare and/or Medicaid (68%). Sequential comparisons between confirmatory factor analyses and ESEM resulted in a final 10-item two-factor structure. Reliability was excellent (0.93), and bivariate correlations indicated positive correlations between the EDT, CTM-3, and CAT-T.

conclusionThe EDT measure demonstrates content validity, structural validity, convergent validity, discriminant validity, and high internal consistency (i.e., reliability). This newly developed patient reported outcome measure can be used in future clinical and research work to better understand the impact of ED interventions on quality-of-care transitions for patients with diagnostic uncertainty.

Indexed as

Continuity of Patient CareEmergency Service, HospitalPatient DischargePatient TransferAdultFemaleHumansMaleMiddle AgedReproducibility of ResultsSurveys and Questionnaires

Identifiers

PMID41841766
PMCPMC12994314

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.