Digital Transformation in Women's Health: The Impact of AI-Powered Training on Gynecological Examination Anxiety and Satisfaction
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 114
研究概览
简要总结
Gynecological cancers, particularly cervical, ovarian, and endometrial cancers, pose a global problem. Cervical cancers are quite common worldwide, and this rate is even higher in developing countries. Cervical cancers are easily treatable when detected early, and screening is quite easy. Diagnosis is routinely made through human papillomavirus (HPV) testing and cytological screening. Eliminating anxiety, fear, and uncertainty about gynecological examinations makes the examination process easier, thus enabling early diagnosis and treatment of diseases. Keeping up with developing and changing technology and using it to improve women's health is an undeniable change in recent times. This study aims to determine the effect of an AI-assisted informational training program on women's anxiety and satisfaction levels regarding gynecological examinations.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Supportive Care
- 盲法
- Single (Participant)
入排标准
- 年龄范围
- 18 Years 至 65 Years(Adult, Older Adult)
- 性别
- Female
- 接受健康志愿者
- 是
入选标准
- •Applying to the outpatient clinic for a gynecological examination
- •Being between 18-65 years of age
- •Agreeing to participate in the study
排除标准
- •Communication barrier
- •Having a psychological diagnosis,
- •Being pregnant
研究者
Ayşe Gül Bursa
Assistant Professor
Fenerbahce University
