Division of Gastroenterology,Larkin Community Hospital,Miami, FL,USA.
Division of Gastroenterology, Hepatology, and Nutrition,University of Texas Health Science Center at Houston,Houston,TX,USA.
Epidemiol Infect. 2019 Jan;147:e104. doi: 10.1017/S0950268819000268.
We sought to address the prior limitations of symptom checker accuracy by analysing the diagnostic and triage feasibility of online symptom checkers using a consecutive series of real-life emergency department (ED) patient encounters, and addressing a complex patient population - those with hepatitis C or HIV. We aimed to study the diagnostic and triage accuracy of these symptom checkers in relation to an emergency room physician-determined diagnosis. An ED retrospective analysis was performed on 8363 consecutive adult patients. Eligible patients included: 90 HIV, 67 hepatitis C, 11 both HIV and hepatitis C. Five online symptom checkers were utilised for diagnosis (Mayo Clinic, WebMD, Symptomate, Symcat, Isabel), three with triage capabilities. Symptom checker output was compared with ED physician-determined diagnosis data in regards to diagnostic accuracy and differential diagnosis listing, along with triage advice. All symptom checkers, whether for combined HIV and hepatitis C, HIV alone or hepatitis C alone had poor diagnostic accuracy in regards to Top1 (<20%), Top3 (<35%), Top10 (<40%), Listed at All (<45%). Significant variations existed for each individual symptom checker, as some appeared more accurate for listing the diagnosis in the top of the differential, vs. others more apt to list the diagnosis at all. In regards to ED triage data, a significantly higher percentage of hepatitis C patients (59.7%; 40/67) were found to have an initial diagnosis with emergent criteria than HIV patients (35.6%; 32/90). Symptom checker diagnostic capabilities are quite inferior to physician diagnostic capabilities. Complex patients such as those with HIV or hepatitis C may carry a more specific differential diagnosis, warranting symptom checkers to have diagnostic algorithms accounting for such complexity. Symptom checkers carry the potential for real-time epidemiologic monitoring of patient symptoms, as symptom entries and subsequent symptom checker diagnosis could allow health officials a means to track illnesses in specific patient populations and geographic regions. In order to do this, accurate and reliable symptom checkers are warranted.
我们旨在通过分析使用一系列真实急诊部(ED)患者就诊的在线症状检查器的诊断和分诊可行性来解决先前症状检查器准确性的限制,并解决复杂的患者群体 - 那些患有丙型肝炎或艾滋病毒的患者。我们旨在研究这些症状检查器在与急诊室医生确定的诊断相关的诊断和分诊准确性。对 8363 例连续成年患者进行了 ED 回顾性分析。合格的患者包括:90 例 HIV,67 例丙型肝炎,11 例 HIV 和丙型肝炎。使用了 5 种在线症状检查器进行诊断(梅奥诊所,WebMD,Symptomate,Symcat,Isabel),其中 3 种具有分诊能力。比较了症状检查器输出与 ED 医生确定的诊断数据,以了解诊断准确性和鉴别诊断清单,以及分诊建议。所有症状检查器,无论是针对合并的 HIV 和丙型肝炎,单独的 HIV 还是丙型肝炎,在关于 Top1(<20%),Top3(<35%),Top10(<40%),所有列出的诊断(<45%)的诊断准确性都很差。对于每个单独的症状检查器,都存在明显的差异,因为有些检查器更擅长在鉴别诊断的顶部列出诊断,而其他检查器则更擅长在所有情况下列出诊断。在 ED 分诊数据方面,丙型肝炎患者(59.7%,40/67)初始诊断符合紧急标准的比例明显高于 HIV 患者(35.6%,32/90)。症状检查器的诊断能力远低于医生的诊断能力。像 HIV 或丙型肝炎这样的复杂患者可能具有更具体的鉴别诊断,因此症状检查器需要具有诊断算法来考虑这种复杂性。症状检查器具有实时监测患者症状的流行病学监测的潜力,因为症状条目和随后的症状检查器诊断可以让卫生官员有办法跟踪特定患者群体和地理区域的疾病。为此,需要准确可靠的症状检查器。