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Claudette Pretorius

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Open access Aug 2026

Digital mental health apps for young people in Europe: A systematic cross-country analysis

Mental health smartphone applications have become widely available for self-management and support, offering young people new pathways for help-seeking. Despite their increasing popularity, little is known about how app accessibility, content, and features vary across countries, languages, and cultural contexts. This study aimed to systematically examine these differences by drawing on data from the available app stores. Both the Apple App Store and Google Play Store were searched across seven European countries (Croatia, France, Ireland, Poland, Portugal, Serbia, and Türkiye) using four keywords: mental health, psychological wellbeing, self-help, and stress. App results were screened through redefined inclusion and exclusion criteria, and the included apps were systematically characterized based on their aims, features, and linguistic accessibility. Over 900 apps were initially identified, and 171 met the inclusion criteria. The most commonly encountered apps were structured journaling and meditation apps, and most were partially paid and primarily available in English, highlighting a predominance of commercially oriented apps and a limited availability of local-language apps and minimal cultural adaptation. Together, the findings underscore the need for research and policy to prioritize cross-country accessibility, particularly for non-English speaking youth, to ensure equitable access to digital mental health resources.

Alba Madrid Cagigal, C. Akyol, Nesime Can Angın et al. · 0 citations
Book Open access Jul 2026

Large Language Models and the Evolution of Online Help-Seeking for Mental Health

Large language models (LLMs) are rapidly becoming embedded in everyday mental health help-seeking practices, particularly among young people who already turn to digital platforms as gateways to mental health support. While LLMs offer unprecedented immediacy and accessibility, their integration into help-seeking ecosystems raises important questions for digital health research. This opinion paper argues that LLMs fundamentally reshape the developmental processes underpinning online help-seeking. Traditional digital help-seeking requires active exploration, searching, comparing sources and reflecting on lived experience, processes that contribute to mental health literacy and resilience. In contrast, LLMs collapse informational plurality into singular, authoritative-sounding responses, potentially shifting users from active exploration toward passive consumption. We discuss the risks of sycophancy, and over-reliance on immediacy, and consider how these dynamics may alter developmental trajectories of coping and help-seeking agency. We argue that preserving agency, connectedness, and reflective engagement must be central to the design of conversational AI in health contexts.

Claudette Pretorius · 0 citations