在急诊室对两个症状检查器 (Ada和Symptoma) 的比较:随机,交叉,对对,双盲研究
Johannes Knitza1,2,3,4, Ragip Hasanaj5, Jonathan Beyer5
1Institute for Digital Medicine, University Hospital Giessen, Philipps University, Marburg, Germany.
Journal of medical Internet research
|August 20, 2024
概括
像Ada和Symptoma这样的症状检查器 (SC) 显示出不同的诊断准确性和可用性. 艾达的表现更好,但这两种工具都引发了对安全性和可信度的担忧,需要进一步的临床评估.
科学领域:
- 数字健康数字健康
- 医疗信息学医学信息学
- 临床决策支持 临床决策支持
背景情况:
- 紧急诊所 (ED) 面临着过度拥挤,非紧急病人的患者有助于解决这个问题.
- 症状检查器 (SC) 提供可访问的疾病信息和行动建议,可能缓解患者流动.
- 有限的直接患者使用证据存在于SCs,尽管它们的采用越来越多.
研究的目的:
- 为了比较两个领先的SCs的诊断准确性,安全性,可用性和接受性:Ada和Symptoma.
- 评估SC建议与最终诊断的一致性,并评估分拣建议的安全性.
- 收集用户对SC易用性和整体推可能性的反.
主要方法:
- 一个随机,双盲,交叉研究,涉及450名成年患者在ED.
- 患者使用了Ada和Symptoma,结果由盲目的专家评估者评估.
- 主要结果:诊断准确性;次要结果:安全性,可用性 (利克尔特尺度) 和接受性 (净促进者得分 - NPS).
主要成果:
- 艾达提供相同或可信的诊断比Symptoma更频繁 (58%对38%).
- 两个SC都未能在很大比例的病例中识别出可能危及生命的诊断 (Ada: 13%,症状: 14%).
- Ada被评为更容易使用 (88%对78%),但对分拣准确性有所担忧 (53%过分分拣);NPS分数对两者都是负的.
结论:
- 与Symptoma相比,Ada表现出更高的诊断准确性和可用性.
- 仍然存在关于SCs安全性的重大担忧,包括错过的关键诊断和不准确的分拣建议.
- 在广泛部署SC之前,严格的临床验证至关重要,以确保患者的安全并防止资源的滥用.
相关概念视频
Blind Procedures
10.6K
Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which...
10.6K
Crossover Experiments
2.7K
Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
2.7K
Comparing the Survival Analysis of Two or More Groups
164
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
164
Group Design
8.9K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
8.9K


