Triage Accuracy and the Safety of User-Initiated Symptom Assessment With an Electronic Symptom Checker in a Real-Life Setting: Instrument Validation Study.

IF 2.6 Q2 HEALTH CARE SCIENCES & SERVICES JMIR Human Factors Pub Date : 2024-09-26 DOI:10.2196/55099
Ville Liu, Minna Kaila, Tuomas Koskela
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Abstract

Background: Previous studies have evaluated the accuracy of the diagnostics of electronic symptom checkers (ESCs) and triage using clinical case vignettes. National Omaolo digital services (Omaolo) in Finland consist of an ESC for various symptoms. Omaolo is a medical device with a Conformité Européenne marking (risk class: IIa), based on Duodecim Clinical Decision Support, EBMEDS.

Objective: This study investigates how well triage performed by the ESC nurse triage within the chief symptom list available in Omaolo (anal region symptoms, cough, diarrhea, discharge from the eye or watery or reddish eye, headache, heartburn, knee symptom or injury, lower back pain or injury, oral health, painful or blocked ear, respiratory tract infection, sexually transmitted disease, shoulder pain or stiffness or injury, sore throat or throat symptom, and urinary tract infection). In addition, the accuracy, specificity, sensitivity, and safety of the Omaolo ESC were assessed.

Methods: This is a clinical validation study in a real-life setting performed at multiple primary health care (PHC) centers across Finland. The included units were of the walk-in model of primary care, where no previous phone call or contact was required. Upon arriving at the PHC center, users (patients) answered the ESC questions and received a triage recommendation; a nurse then assessed their triage. Findings on 877 patients were analyzed by matching the ESC recommendations with triage by the triage nurse.

Results: Safe assessments by the ESC accounted for 97.6% (856/877; 95% CI 95.6%-98.0%) of all assessments made. The mean of the exact match for all symptom assessments was 53.7% (471/877; 95% CI 49.2%-55.9%). The mean value of the exact match or overly conservative but suitable for all (ESC's assessment was 1 triage level higher than the nurse's triage) symptom assessments was 66.6% (584/877; 95% CI 63.4%-69.7%). When the nurse concluded that urgent treatment was needed, the ESC's exactly matched accuracy was 70.9% (244/344; 95% CI 65.8%-75.7%). Sensitivity for the Omaolo ESC was 62.6% and specificity of 69.2%. A total of 21 critical assessments were identified for further analysis: there was no indication of compromised patient safety.

Conclusions: The primary objectives of this study were to evaluate the safety and to explore the accuracy, specificity, and sensitivity of the Omaolo ESC. The results indicate that the ESC is safe in a real-life setting when appraised with assessments conducted by triage nurses. Furthermore, the Omaolo ESC exhibits the potential to guide patients to appropriate triage destinations effectively, helping them to receive timely and suitable care.

International registered report identifier (irrid): RR2-10.2196/41423.

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在真实环境中使用电子症状检查器进行用户主动症状评估的分流准确性和安全性:工具验证研究》。
背景:以往的研究评估了电子症状检查器(ESC)的诊断准确性,并利用临床病例进行了分流。芬兰的国家 Omaolo 数字服务(Omaolo)由针对各种症状的电子症状检查器组成。Omaolo 是一种医疗设备,具有欧洲合格标志(风险等级:IIa),基于 Duodecim 临床决策支持、EBMEDS.Objective:本研究调查了 ESC 护士在 Omaolo 提供的主要症状列表(肛门症状、咳嗽、腹泻、眼分泌物或眼红、头痛、胃灼热、膝盖症状或损伤、腰痛或损伤、口腔健康、耳朵疼痛或堵塞、呼吸道感染、性传播疾病、肩膀疼痛或僵硬或损伤、喉咙痛或喉咙症状以及尿路感染)范围内进行分诊的情况。此外,还对 Omaolo ESC 的准确性、特异性、灵敏度和安全性进行了评估:这是一项在真实环境中进行的临床验证研究,在芬兰各地的多个初级卫生保健(PHC)中心进行。所包括的单位都是走入式初级保健模式,无需事先打电话或联系。用户(患者)到达初级保健中心后,回答ESC问题并收到分诊建议;然后由护士对他们的分诊情况进行评估。通过将 ESC 建议与分诊护士的分诊结果进行比对,对 877 名患者的结果进行了分析:由ESC进行的安全评估占所有评估的97.6%(856/877;95% CI 95.6%-98.0%)。所有症状评估的精确匹配平均值为 53.7%(471/877;95% CI 49.2%-55.9%)。完全匹配或过于保守但适合所有症状评估(ESC 的评估比护士的分流级别高一级)的平均值为 66.6% (584/877; 95% CI 63.4%-69.7%)。当护士得出需要紧急治疗的结论时,ESC 完全匹配的准确率为 70.9% (244/344; 95% CI 65.8%-75.7%) 。奥莫洛ESC的灵敏度为62.6%,特异度为69.2%。共确定了21项关键评估供进一步分析:没有迹象表明患者安全受到了损害:本研究的主要目的是评估奥莫洛ESC的安全性,并探讨其准确性、特异性和灵敏度。结果表明,在现实生活中,由分诊护士进行评估时,ESC 是安全的。此外,奥莫洛ESC还能有效地将病人引导到合适的分诊地点,帮助他们得到及时、合适的护理:RR2-10.2196/41423。
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来源期刊
JMIR Human Factors
JMIR Human Factors Medicine-Health Informatics
CiteScore
3.40
自引率
3.70%
发文量
123
审稿时长
12 weeks
期刊最新文献
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