Evidence map›Paper›PMID 32267928›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2020

Rapid design and implementation of an integrated patient self-triage and self-scheduling tool for COVID-19.

Timothy J Judson, Anobel Y Odisho, Aaron B Neinstein, Jessica Chao, Aimee Williams, Christopher Miller, Tim Moriarty, Nathaniel Gleason, Gina Intinarelli, Ralph Gonzales

Registry-linked trialAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07073898 (Population Health Management Approaches to Increase Lung Cancer Screening in Community Health Centers - UG3 Pilot Clinical Trial), which is not on this map. Cited by 111 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed, 7 pooled it
–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.

NCT07073898 nacompletednot on this mapstarted 2025, after this paper: background citation

Population Health Management Approaches to Increase Lung Cancer Screening in Community Health Centers - UG3 Pilot Clinical Trial

TypeinterventionalSponsorUniversity of UtahRan2025 to 2026Enrolled65ConditionsLung CancerArmsRepeated Text Messages (TM+), Conversational Agent (CA), Educational Video, Proactive Patient Navigation (PPN), Reactive Patient Navigation (RPN)
3 · Its place in the literature

Who cites it

111 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  8. Precision public-health intervention for care coordination: a real-world study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
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51 more citing papers are in PubMed but not listed here.

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.

Timothy J JudsonDepartment of Medicine, University of California San Francisco, San Francisco, California.
Anobel Y OdishoCenter for Digital Health Innovation, University of California San Francisco, San Francisco, California.
Aaron B NeinsteinDepartment of Medicine, University of California San Francisco, San Francisco, California.
Jessica ChaoClinical Innovation Center, University of California San Francisco, San Francisco, California.
Aimee WilliamsClinical Innovation Center, University of California San Francisco, San Francisco, California.
Christopher MillerCenter for Digital Health Innovation, University of California San Francisco, San Francisco, California.
Tim MoriartyCenter for Digital Health Innovation, University of California San Francisco, San Francisco, California.
Nathaniel GleasonDepartment of Medicine, University of California San Francisco, San Francisco, California.
Gina IntinarelliOffice of Population Health and Accountable Care, University of California San Francisco, San Francisco, California.
Ralph GonzalesDepartment of Medicine, University of California San Francisco, San Francisco, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo rapidly deploy a digital patient-facing self-triage and self-scheduling tool in a large academic health system to address the COVID-19 pandemic. MATERIALS AND

methodsWe created a patient portal-based COVID-19 self-triage and self-scheduling tool and made it available to all primary care patients at the University of California, San Francisco Health, a large academic health system. Asymptomatic patients were asked about exposure history and were then provided relevant information. Symptomatic patients were triaged into 1 of 4 categories-emergent, urgent, nonurgent, or self-care-and then connected with the appropriate level of care via direct scheduling or telephone hotline.

resultsThis self-triage and self-scheduling tool was designed and implemented in under 2 weeks. During the first 16 days of use, it was completed 1129 times by 950 unique patients. Of completed sessions, 315 (28%) were by asymptomatic patients, and 814 (72%) were by symptomatic patients. Symptomatic patient triage dispositions were as follows: 193 emergent (24%), 193 urgent (24%), 99 nonurgent (12%), 329 self-care (40%). Sensitivity for detecting emergency-level care was 87.5% (95% CI 61.7-98.5%). DISCUSSION: This self-triage and self-scheduling tool has been widely used by patients and is being rapidly expanded to other populations and health systems. The tool has recommended emergency-level care with high sensitivity, and decreased triage time for patients with less severe illness. The data suggests it also prevents unnecessary triage messages, phone calls, and in-person visits.

conclusionPatient self-triage tools integrated into electronic health record systems have the potential to greatly improve triage efficiency and prevent unnecessary visits during the COVID-19 pandemic.

Indexed as

Appointments and SchedulesBetacoronavirusCoronavirus InfectionsDiagnostic Self EvaluationMedical Records Systems, ComputerizedPandemicsPatient ParticipationPatient PortalsPneumonia, ViralAcademic Medical CentersAdultCOVID-19HumansSan FranciscoSARS-CoV-2Self CarecoronavirusCOVID-19patient portalself-triagesymptom checker

Identifiers

PMID32267928
PMCPMC7184478

What OpenQuestion holds

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Registered trials

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.