Evidence map›Paper›PMID 42240278›Full record

ArticleJournal of telemedicine and telecare2026

Remote triage and virtual urgent care services: A qualitative assessment of factors that impact triage decisions and outcomes.

Caroline Gray, Barbara Lerner, Jacqueline Egelfeld, Jada Robinson, Tracy Urech, Anita Vashi

Abstract read
In one paragraph

Article in Journal of telemedicine and telecare, 2026. 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

6 authors.

Caroline GrayCenter for Innovation and Implementation, VA Palo Alto Health Care System, Menlo Park, CA, USA.ORCID 0000-0002-8987-6142
Barbara LernerCenter for Healthcare Organization & Implementation Research, VA Boston Health Care System, Boston, MA, USA.
Jacqueline EgelfeldCenter for Innovation and Implementation, VA Palo Alto Health Care System, Menlo Park, CA, USA.
Jada RobinsonCenter for Innovation and Implementation, VA Palo Alto Health Care System, Menlo Park, CA, USA.
Tracy UrechCenter for Innovation and Implementation, VA Palo Alto Health Care System, Menlo Park, CA, USA.
Anita VashiCenter for Innovation and Implementation, VA Palo Alto Health Care System, Menlo Park, CA, USA.

Funding

HSRD VA I50 HX003614
6 · The paper itself

Abstract

BackgroundRemote nurse triage services are increasingly delivered through call centers to manage demand for urgent and unscheduled care. These encounters typically rely on decision-support tools, but safe and efficient outcomes also depend on how nurses interpret patient information and make decisions about the most appropriate level of care. Despite the growth of tele-triage, nurse decision-making in this context remains underexplored.ObjectiveTo examine factors shaping triage decisions and outcomes in the U.S. Department of Veterans Affairs' (VA) national tele-triage and urgent care program.MethodsWe conducted semi-structured interviews with 39 participants, including triage nurses, nurse managers, and virtual urgent care providers, across six VA regions. Interviews explored decision-making processes, perceived challenges, and coordination between nurses and providers. Transcripts were coded and analyzed thematically.ResultsFour categories of factors influenced triage decisions: (1) technology-decision-support tools structured encounters but were limited by usability issues and risk-averse design; (2) professional training and judgment-nurses varied in critical thinking and remote assessment skills; (3) organizational priorities-policies emphasizing safety and liability restricted decision-making discretion; and (4) patient factors-preferences, beliefs, and situational constraints shaped acceptance of virtual care. Participants described tensions between efficiency and safety, and providers thought some Veterans' symptoms were more appropriately treated through primary care, reflecting institutional pressures.ConclusionsVA's tele-triage process is shaped by decision-support tools, nurse expertise, organizational priorities, and patient preferences. Algorithms provide structure, but effective triage depends on nurses' ability to interpret recommendations in context. As call center-based tele-triage expands, ensuring technology supports rather than constrains clinician judgment will be essential for safe, efficient, and patient-centered care.

Indexed as

qualitativeTelemedicinetelenursingtriageurgent care

Identifiers

PMID42240278
PMCPMC13656833

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.