Beyond Technology: Privacy, Spirituality, and Women’s Attitudes Toward Artificial Intelligence in Healthcare
Spiritual Psychology and Counseling, cilt.11, sa.3, ss.474-497, 2026 (Scopus, TRDizin)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 11 Sayı: 3
- Basım Tarihi: 2026
- Doi Numarası: 10.37898/spiritualpc.1942319
- Dergi Adı: Spiritual Psychology and Counseling
- Derginin Tarandığı İndeksler: Scopus, Central & Eastern European Academic Source (CEEAS), Psycinfo, Directory of Open Access Journals, TR DİZİN (ULAKBİM)
- Sayfa Sayıları: ss.474-497
- Anahtar Kelimeler: artificial intelligence, attitude, privacy perception, spirituality, women
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Hacettepe Üniversitesi Adresli: Evet
Özet
This study examined women;s general attitudes toward artificial intelligence (AI) in healthcare and aimed to identify factors associated with these attitudes, with particular consideration of gynecological and obstetric contexts. The study does not directly assess acceptance of specific AI applications but focuses on general attitudinal tendencies that may inform the development of more trustworthy and acceptable AI-supported healthcare systems. This cross-sectional study included 204 women aged 18–65 years. Data were collected between November 2025 and February 2026 using an online questionnaire distributed via convenience and snowball sampling methods. Data were collected using a personal information form, the General Attitude Toward Artificial Intelligence in Healthcare Scale, the Body Privacy in Gynecology Obstetrics Scale, and the Three-Factor Spiritual Well-Being Scale. Descriptive statistics, independent-samples t tests, one-way analysis of variance, correlation analyses, and hierarchical multiple regression analyses were conducted. Higher perceived income and a history of gynecological examination were associated with more positive attitudes toward AI, whereas greater body privacy sensitivity was associated with less positive attitudes. For negative attitudes, higher perceived income was associated with lower negative attitudes, while data security and inaccurate information concerns were associated with higher negative attitudes compared with privacy as the reference concern. Previous AI use, body privacy perception, and spiritual well-being did not remain independently associated with negative attitudes in the fully adjusted model. These findings suggest that positive and negative attitudes toward healthcare AI may have distinct correlates and highlight the importance of considering bodily privacy sensitivity and AI-related concerns when evaluating women;s attitudes toward AI-supported healthcare.