Congruency of Symptom Choice Between Patients Performing Online Self-Triage and Nurse Phone Triage
<b>Introduction:</b> Online self-triage/symptom checkers are a relatively new e-Health modality. We aimed to evaluate the degree to which patient's chosen symptom during the use of an online self-triage tool was congruent with that chosen by a nurse performing phone triage. <b>Methods:</b> Patient encounters from September 1, 2022, to September 30, 2023, were reviewed for patients who completed both online self-triage and a subsequent nursing phone triage within 24 hours. The symptoms chosen by the patient for their self-triage encounter and the symptoms chosen by the nurse during the subsequent nurse triage were reviewed. The symptoms chosen in these two triage encounters were then compared for congruency. A subset of our database was evaluated for congruency between the self-triage and the nurse phone triage endpoint recommendations. <b>Results:</b> There were 5,443 encounters meeting inclusion criteria to study for congruency between self-triage and nurse triage symptom choice. The range of time between self-triage and nurse triage ranged from 0 min to 1,439 min (23.9 hours) with a median of 23 minutes between self and nurse triage encounters. Symptom congruency between the two methods found 74.2% (4,038) to be completely congruent while 989 (18.2%) were somewhat congruent. Only 7.6% (416) had no apparent congruency. Out of 1,705 self and nurse triage dyads eligible for study for agreement between endpoint recommendations, 244 (14.3%) were under-triaged, 1,110 (65.1%) were triaged to the same level of care and 351 (20.6%) were over-triaged. <b>Conclusion:</b> Congruency between symptoms chosen by the patient for triage and nurse triage were highly congruent with only 7.6% of the sample showing no apparent congruency between the self-triage symptom and the nurse triage symptom. When compared to nurse triage, most self-triage endpoint recommendations were either triaged to the same level of care or were over-triaged to a higher level of care.
Authors
- Nathaniel E. Miller (ORCID: https://orcid.org/0000-0002-4646-1748)
- Frederick North (ORCID: https://orcid.org/0000-0002-3696-4595)
- Matthew C Thompson (ORCID: https://orcid.org/0000-0003-0282-9181)
- Jennifer L. Pecina (ORCID: https://orcid.org/0000-0003-1970-1344)
- Elizabeth Curry (ORCID: https://orcid.org/0009-0001-7341-7793)
Institutions
- Mayo Clinic (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic in Florida (US)
Publication Details
- Journal
- Telemedicine Journal and e-Health
- Published
- 2025-05-07
- DOI
- https://doi.org/10.1089/tmj.2024.0589
- Citations
- 1
- Primary Topic
- Emergency and Acute Care Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.25