The Impact of AI-Powered Training on Gynecological Examination Anxiety and Satisfaction

NCT07599358 | Not Yet Recruiting DMC

• 1 other identifier: Fenerbahce Uni
• Study Type: interventional
• Target: 114
• Locations: 0 countries
• Sites: N/A

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.

Conditions

Gynecological Examination; Artificial Intelligence (AI); Patient Satisfaction; Anxiety

Keywords

gynecological examination; artificial intelligence; patient satisfaction; anxiety

Outcome Measures

Primary Outcomes (2)

• Women's anxiety levels

  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.

  through study completion, an average of 1 hour.

• Women's satisfaction level

  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.

  through study completion, an average of 1 hour.

Study Arms (2)

intervention group

ACTIVE COMPARATOR

Groups that will receive AI-assisted training before gynecological examinations.

Behavioral: AI-assisted education

control group

NO INTERVENTION

group that will not be intervened with

Interventions

AI-assisted education BEHAVIORAL

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.

intervention group

Eligibility Criteria

• Age: 18 Years - 65 Years
• Gender Eligibility Details: Since this is a study on gynecological examinations for women, only women can participate in the study.
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Applying to the outpatient clinic for a gynecological examination
• Being between 18-65 years of age
• Agreeing to participate in the study

You may not qualify if:

• Communication barrier
• Having a psychological diagnosis,
• Being pregnant

Sponsors & Collaborators

• Fenerbahce University: lead

MeSH Terms

Conditions

Patient Satisfaction; Anxiety Disorders

Condition Hierarchy (Ancestors)

Treatment Adherence and Compliance; Health Behavior; Behavior; Mental Disorders

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: SINGLE
• Who Masked: PARTICIPANT
• Purpose: SUPPORTIVE CARE
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Assistant Professor

Study Record Dates

• First Submitted: April 29, 2026
• First Posted: May 20, 2026
• Study Start: May 2, 2026
• Primary Completion (Estimated): August 30, 2026
• Study Completion (Estimated): September 29, 2026
• Last Updated: May 20, 2026

Record last verified: 2026-04

Data Sharing

• IPD Sharing: Will not share