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NCT Number: NCT07308561

The Relationship Between Quality of Life, Anxiety Levels, and Attitudes Toward Artificial Intelligence Among Women Undergoing Infertility Treatment

Infertility affects approximately one in six individuals worldwide and is associated with significant psychological distress, particularly among women undergoing treatment. Increased anxiety levels are strongly linked to reduced quality of life during the infertility process. With the growing integration of artificial intelligence (AI) into healthcare, AI-based tools are increasingly used in infertility care to support decision-making and patient engagement. While many patients are familiar with AI technologies, individual attitudes toward AI may influence their acceptance and potential psychosocial benefits. This study aims to examine the relationship between attitudes toward artificial intelligence, anxiety levels, and quality of life among women undergoing infertility treatment.

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Key information

Age range

18 year–45 year

Sex eligibility

Female

Study type

Observational

Primary location

Acıbadem Health Group

Istanbul, Ataşehir, Turkey (Türkiye)

Location status: Recruiting

Location contact

Ergül Aslan, Prof.

PRINCIPAL_INVESTIGATOR

Güzin Ünlü Suvari, Ph.D. (C)

CONTACT

[email protected]

+90 ext. 2165004429

Hale Göksever Çelik, Prof. Dr.

PRINCIPAL_INVESTIGATOR

Merve Coşkun, Ph.D.

PRINCIPAL_INVESTIGATOR

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Women aged 18-45 years diagnosed with infertility (primary or secondary infertility).
  • Women undergoing infertility treatment and those who have experienced various treatment modalities (IUI, IVF, ICSI).
  • Women who voluntarily agree to participate in the study.
  • Women who are able to understand and speak Turkish.

Exclusion criteria

  • Women with diagnosed psychological disorders (e.g., clinical depression, anxiety disorders).
  • Women who are not undergoing infertility treatment.

Treatment and study plan

Primary outcomes

  1. Sociodemographic and Descriptive Information Form

    Time frame: At baseline (one-time assessment at enrollment)

    This form includes 30 items designed to collect data on participants' sociodemographic characteristics, general health status, obstetric and gynecological history, and use of technology and artificial intelligence. It provides a comprehensive background profile of women undergoing infertility treatment.

  2. State-Trait Anxiety Inventory (STAI) - Trait Anxiety Scale

    Time frame: At baseline (one-time assessment at enrollment)

    The Trait Anxiety Scale is used to assess individuals' general and persistent anxiety levels. The scale consists of multiple items rated on a Likert-type format, with total scores ranging from 20 to 80. Higher scores indicate higher levels of anxiety.

  3. General Attitudes Toward Artificial Intelligence Scale

    Time frame: At baseline (one-time assessment at enrollment)

    This scale assesses individuals' positive and negative attitudes toward artificial intelligence using a 5-point Likert-type format. It consists of 20 items, with negatively worded items reverse-coded. Higher total scores reflect more positive attitudes toward artificial intelligence.

  4. Fertility Quality of Life Scale (FertiQol) - Core Module

    Time frame: At baseline (one-time assessment at enrollment)

    The Fertility Quality of Life Scale evaluates quality of life in individuals experiencing fertility problems. The core module assesses emotional, mind-body, relational, and social dimensions of quality of life using a Likert-type response format. Higher scores indicate better quality of life.

Study contacts

Contact information is provided by the study sponsor or research team.

Güzin Ünlü Suvari, M.Sc.

CONTACT

[email protected]

+902165004429

Sponsors and collaborators

Lead sponsor

Acibadem University

Other

Registry information

Important dates

Study start
2025
Primary completion
2026
Study completion
2026
First posted
Dec 29, 2025
Registry last updated
Dec 29, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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