Published in

SAGE Publications, Journal of Telemedicine and Telecare, 3(20), p. 123-127

DOI: 10.1177/1357633x14529246

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A study of automated self-assessment in a primary care student health centre setting

Journal article published in 2014 by Aimee E. Poote, David P. French, Jeremy Dale ORCID, John Powell ORCID
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

We evaluated the advice given by a prototype self-assessment triage system in a university student health centre. Students attending the health centre with a new problem used the automated self-assessment system prior to a face-to-face consultation with the general practitioner (GP). The system’s rating of urgency was available to the GP, and following the consultation, the GP recorded their own rating of the urgency of the patient’s presentation. Full data were available for 154 of the 207 consultations. Perfect agreement, where both the GP and the self-assessment system selected the same category of advice, occurred in 39% of consultations. The association between the GP assessment and the self-assessment rankings of urgency was low but significant (rho = 0.19, P = 0.016). The self-assessment system tended to be risk averse compared to the GP assessments, with advice for more urgent level of care seeking being recommended in 86 consultations (56%) and less urgent advice in only 8 (5%). This difference in assessment of urgency was significant (P