通过开发和验证关键词来改善基于证据的实践,以识别沟通障碍的干预文章
Sonia Islam Nisha1, Qingyun Wang2, Charles Yu2
1Department of Communicative Disorders and Sciences, University at Buffalo, NY.
Language, speech, and hearing services in schools
|March 6, 2026
概括
开发基于证据的关键词可以改善语音语言病理学干预研究的识别,克服实施基于证据的实践 (EBP) 的挑战. 这有助于临床医生有效地找到相关的研究.
科学领域:
- 语音语言病理学 语言病理学
- 临床研究是临床研究.
- 信息科学 信息科学
背景情况:
- 在语音语言病理学中实施基于证据的实践 (EBP) 被干预研究的稀缺性和不一致的关键词使用所阻碍.
- 从摘要中有效地识别相关研究对于面临时间限制的临床医生至关重要.
研究的目的:
- 将人工智能生成的关键词的分类准确度与从干预研究摘要中获得的基于证据的关键词进行比较.
- 评估不同关键词集在ASHA期刊中识别干预研究的有效性.
主要方法:
- 创建了一个来自三个ASHA期刊摘要的数据库.
- 180个摘要进行了注释,以开发基于证据的关键词.
- 通过比较基于证据的关键词与人工智能生成的关键词 (ChatGPT-4.0) 来评估分类准确性.
主要成果:
- 大约12-15%的研究报告了干预研究.
- 基于证据的关键词显示了更高的灵敏度 (85%) 和积极的预测值 (27%),但较低的特异性 (67%).
- 基于证据的关键词在识别非干预研究方面显示了中度的准确性.
结论:
- 基于证据的关键词在准确分类干预研究方面表现有前途,解决了EBP实施的重大障碍.
- 未来的工作应该整合人工智能来改进关键字,并倡导在期刊摘要中标准化关键字报告.
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