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Background <p>Mental disorders and psychological distress are common among university students, but help-seeking is often hindered by self-stigma. Artificial intelligence (AI) mental health chatbots are increasingly used, yet students’ attitudes toward seeking professional psychological help (ATSPPH), self-stigma (SSOSH), influential factors, and preferences remain underexplored in Jordan.</p> Methods <p>A mixed-methods explanatory sequential design included 757 nursing students from six private Jordanian universities who completed an online questionnaire covering demographics, the ATSPPH Scale-Short Form, and SSOSH scale. Eighteen students participated in focus groups exploring attitudes toward help-seeking and preferences between human counsellors and AI chatbots.</p> Results <p>Students exhibited low ATSPPH (<i>M</i> = 15.59, SD = 5.04) and SSOSH (<i>M</i> = 12.19, SD = 9.58). The correlation between ATSPPH and SSOSH was non-significant (<i>r</i> = 0.06, <i>p</i> = .101). Most students preferred human counsellors, citing emotional support, trust, and cultural sensitivity; some valued AI chatbots for accessibility and anonymity. Barriers included stigma, low perceived need, limited service awareness, and mistrust in care quality.</p> Conclusion <p>Findings underscore the need for anti-stigma mental health campaigns to raise awareness of psychological issues and available services. The study offers important implications for practice and future research.</p>

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Attitudes Toward Seeking Professional Psychological Help, Self-Stigma of seeking help, and Preferences for AI Mental Health Chatbots vs. Human Counsellors: A Mixed Methods Study

  • 期刊论文

  • 发表日期：

    2025年12月8日

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  • Ahmad I. Miqdadi,
  • Marwa Nayef Alhalabi,
  • Majdi Alhadidi,
  • Shaban Sinnokrot,
  • Farah M. Abdallah,
  • Qusai Abdulrahman AbuQamar,
  • Mo’tasem M. Aldaieflih,
  • Khadejah F. Mahmoud,
  • Jawad Ahmad Abu-Shennar,
  • Murad Younis,
  • Bushra kh Alhusamiah,
  • Mohannad A. Aldiqs

摘要

Background

Mental disorders and psychological distress are common among university students, but help-seeking is often hindered by self-stigma. Artificial intelligence (AI) mental health chatbots are increasingly used, yet students’ attitudes toward seeking professional psychological help (ATSPPH), self-stigma (SSOSH), influential factors, and preferences remain underexplored in Jordan.

Methods

A mixed-methods explanatory sequential design included 757 nursing students from six private Jordanian universities who completed an online questionnaire covering demographics, the ATSPPH Scale-Short Form, and SSOSH scale. Eighteen students participated in focus groups exploring attitudes toward help-seeking and preferences between human counsellors and AI chatbots.

Results

Students exhibited low ATSPPH (M = 15.59, SD = 5.04) and SSOSH (M = 12.19, SD = 9.58). The correlation between ATSPPH and SSOSH was non-significant (r = 0.06, p = .101). Most students preferred human counsellors, citing emotional support, trust, and cultural sensitivity; some valued AI chatbots for accessibility and anonymity. Barriers included stigma, low perceived need, limited service awareness, and mistrust in care quality.

Conclusion

Findings underscore the need for anti-stigma mental health campaigns to raise awareness of psychological issues and available services. The study offers important implications for practice and future research.