鉴于风险预测算法,医生推疑似癌症的决定因素:链接信号检测和模糊痕迹理论
Olga Kostopoulou1, Bence Pálfi2, Kavleen Arora1
1Imperial College London, UK.
概括
怀疑癌症的医生转诊决定受到患者的好处和错过诊断的严重性的影响. 一个风险预测算法减少了转诊,但没有覆盖这些核心医生价值.
科学领域:
- 医疗决策的制定 医疗决策的制定
- 健康心理学 心理健康心理学
- 临床风险评估临床风险评估
背景情况:
- 怀疑癌症的医生转诊决定被认为是稳定的特征.
- 这些决定的心理决定因素,特别是风险预测算法,需要进行调查.
研究的目的:
- 确定影响全科医生 (GPs) 转诊疑似结直肠癌患者的决策的心理因素.
- 评估风险预测算法对这些决定和医生基础价值的影响.
主要方法:
- 200名英国全科医生评估了可能患有结肠直肠癌的患者的在线视频.
- 一般医生在收到算法风险估计之前和之后表示转诊概率和感知癌症风险.
- 摘要后,全科医生回答了关于转诊危害/益处,错误严重程度和不确定性等值的问题.
主要成果:
- 该算法显著降低了转介概率和感知风险.
- 医生价值,特别是患者福利和缺失癌症的严重程度,是转诊的最强有力的预测因素.
- 算法并没有显著减少这些核心价值观对转介决策的影响.
结论:
- 医生转诊决定是由转诊的感知益处/危害以及错过癌症诊断与过度转诊的道德权重所塑造的.
- 这些值建立了一个内部的行动值,即使提供算法风险评估,也会持续存在.
- 了解这些医生价值观对于优化癌症转诊途径和有效整合决策支持工具至关重要.
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