在初级保健中早期检测胰腺癌的临床决策支持工具:模拟研究
Javiera Martinez-Gutierrez1,2,3, Kaleswari Somasundaram1, Christina Maresch Bernardes4,5
1Department of General Practice, Medicine, Dentristry and Health Services, The University of Melbourne, Melbourne, Australia.
JMIR formative research
|February 6, 2026
概括
一般医生发现临床决策支持系统 (CDSS) 有助于识别潜在的胰腺癌症状. 然而,在初级保健中广泛采用之前,需要解决对过度测试和成本效益的担忧.
科学领域:
- 数字健康干预措施 数字健康干预措施
- 主要护理医学 医疗保健
- 瘤学的决策支持
背景情况:
- 在初级保健中早期发现胰腺癌受到低患病率,非特异性症状和高GP工作负担的挑战.
- 澳大利亚国家胰腺癌路线图优先考虑通过早期诊断改善结果.
- 计算机化临床决策支持系统 (CDSS) 显示出及时癌症诊断的潜力,但面临的采用障碍,如不信任和工作流集成问题.
研究的目的:
- 评估CDSS的可接受性和可行性,用于在模拟的初级保健环境中识别胰腺癌症状的患者.
- 评估全科医生对CDSS的看法,该CDSS旨在标记潜在的胰腺癌指标.
主要方法:
- 开发了一个CDSS,与电子健康记录进行交互,识别患有诸如意外减肥或新发糖尿病等症状的患者.
- 11名全科医生参与了模拟,使用CDSS与患者演员呈现特定的临床场景.
- 进行了全科医生采访,并使用专题分析和相关框架分析数据,以衡量可接受性和可行性.
主要成果:
- 一般医生发现CDSS是用户友好的,非阻碍性的,并且有效地促使人们考虑对有风险的患者进行调查.
- 人们对潜在的过度测试,相关的财务成本以及患者对低概率发现的焦虑表示担忧.
- 该系统被认为与临床工作流程兼容,但全科医生更喜欢逐步的调查方法,而不是立即的成像.
结论:
- CDSS证明了全科医生的可接受性和工作流程兼容性,用于识别潜在的胰腺癌指标.
- 实施障碍包括对过度测试,证据基础和成本效益的担忧.
- 在将这种特定的CDSS整合到胰腺癌诊断的初级保健中之前,需要进一步的证据来支持临床建议.
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