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Symptom checkers (SCs) are algorithm‐based programs that provide potential diagnoses and triage advice. 4, 5 An Australian study 6 found that 34% of people attending emergency departments had searched the internet for information about their condition. 3 About 80% of Australians report searching the internet for health information, and nearly 40% seek self‐treatment advice online. 2 An abundance of material once accessible only to subject specialists is now more readily available on websites and via smartphone applications (apps), and widespread internet access has changed health information‐seeking behaviour. The implications: Symptom checkers may provide unsuitable or incomplete diagnostic or triage advice for users in Australia, resulting in inappropriate care advice.Īustralians generally embrace online technology: in 2016–17, 86% of households had internet access 1 and about 89% of surveyed adults owned smartphones. The correct diagnosis was listed first in 36% of tests, and included among the first ten results in 58% triage advice was appropriate in 49% of cases, including about 60% of emergency and urgent cases but only 30–40% of less serious case vignettes. The new: Thirty‐six symptom checkers were evaluated with a range of clinical vignettes. Symptom checkers are common online tools for obtaining diagnostic and triage advice.
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The known: Australians are searching the internet for health care advice with increasing frequency. Appropriate triage advice was more frequent for emergency care (63% 95% CI, 52–71%) and urgent care vignette tests (56% 95% CI, 52–75%) than for non‐urgent care (30% 95% CI, 11–39%) and self‐care tests (40% 95% CI, 26–49%).Ĭonclusion: The quality of diagnostic advice varied between SCs, and triage advice was generally risk‐averse, often recommending more urgent care than appropriate. The 19 triage SCs provided correct advice for 338 of 688 vignette tests (49% 95% CI, 44–54%). The mean rate of first correct results for individual SCs ranged between 12% and 61%. SCs using artificial intelligence algorithms listed the correct diagnosis first in 46% of tests (95% CI, 40–57%), compared with 32% (95% CI, 26–38%) for other SCs. Results: The 27 diagnostic SCs listed the correct diagnosis first in 421 of 1170 SC vignette tests (36% 95% CI, 31–42%), among the top three results in 606 tests (52% 95% CI, 47–59%), and among the top ten results in 681 tests (58% 95% CI, 53–65%). Main outcome measures: Correct diagnosis advice (provided in first, the top three or top ten diagnosis results) correct triage advice (appropriate triage category recommended).
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Objectives: To investigate the quality of diagnostic and triage advice provided by free website and mobile application symptom checkers (SCs) accessible in Australia.ĭesign: 36 SCs providing medical diagnosis or triage advice were tested with 48 medical condition vignettes (1170 diagnosis vignette tests, 688 triage vignette tests). Statistics,epidemiology and research design.Statistics, epidemiology and research design.