Anxiety, Artificial Intelligence (AI), Gynecological Examination, Patient Satisfaction
Conditions
Keywords
gynecological examination, artificial intelligence, patient satisfaction, anxiety
Brief summary
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.
Interventions
BEHAVIORALAI-assisted education
As an initiative, ChatGPT, one of the most commonly used artificial intelligence tools, was asked to prepare a text to provide women with detailed information before gynecological examinations. This text was evaluated by three gynecologists specializing in the field, and necessary adjustments were made. Based on this text, ChatGPT was asked to generate visuals for the relevant text. Using these visuals, a 4.13-minute video was created via Canva to inform patients before their gynecological examinations. Subtitles were added to the video, considering the potential noise level. Women randomly assigned to the intervention group will be shown the video before their examinations.
Sponsors
Fenerbahce University
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SUPPORTIVE_CARE
Masking
SINGLE (Subject)
Eligibility
Sex/Gender
FEMALE
Age
18 Years to 65 Years
Healthy volunteers
Yes
Inclusion criteria
* Applying to the outpatient clinic for a gynecological examination * Being between 18-65 years of age * Agreeing to participate in the study
Exclusion criteria
* Communication barrier * Having a psychological diagnosis, * Being pregnant
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Women's anxiety levels | through study completion, an average of 1 hour. | This study aims to investigate the effect of an AI-assisted training intervention on women's anxiety levels during gynecological examinations. The Gynecological Examination Anxiety Scale will be administered before and after the gynecological examination. The scale consists of 20 items and is divided into 5 sub-dimensions: healthcare personnel approach, healthcare personnel experience, negative experiences, hygienic reasons, and individual attitudes. The Cronbach's Alpha coefficient of the scale was determined to be 0.867 (Demirtop, 2014).While there are no items that are reverse-scored on the scale, a high score indicates high anxiety. |
| Women's satisfaction level | through study completion, an average of 1 hour. | The Outpatient Patient Satisfaction Scale, developed by Kevenk, Kantas-Yilmaz, and Ozturk, consists of 26 items and 4 dimensions: examination, diagnosis and treatment process, physical environment, appointment process, and communication. The Cronbach's Alpha coefficient of the scale was determined to be 0.947 (Kevenk, Kantas-Yilmaz, and Ozturk, 2021). An increase in the score obtained from the scale indicates increased satisfaction. |
Outcome results
None listed