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Open research questions in Digital Mental Health Interventions

599 unresolved questions extracted from the limitations and future-work sections of 1,918 Digital Mental Health Interventions papers in our library. Each links back to the study that raised it.

What the literature leaves open

  • The difficulty in detecting escalating psychotic episodes during prolonged interactions with chatbots. The challenge of designing systems that can reliably generate safe and clinically appropriate responses to psychotic content. The need for technical approaches to reduce hallucinations and avoid reinforcing false or harmful beliefs.

    Chatbot psychosis: moving beyond recognition to mechanistic understanding and harm reduction · 2026 · DOI

  • Interdisciplinary frameworks integrating psychology, psychiatry, computer science, ethics and public health are needed, - Well-conducted experimental and observational studies are required to systematically document the impact of specific artificial intelligence characteristics and patterns of use

    Chatbot psychosis: moving beyond recognition to mechanistic understanding and harm reduction · 2026 · DOI

  • Clinical challenges, including lack of diagnostic clarity and limited integration with electronic health records. Patient challenges, including digital exclusion, accessibility barriers, and motivation. Technical challenges, including cost-effectiveness, interoperability, and explainability of artificial intelligence outputs.

    Levelling up digital mental health: from proliferation to precision · 2026 · DOI

  • The lack of evidence-based and equitably implemented digital mental health tools. The need for a shift from proliferation to precision in digital mental health. The importance of addressing complexity, context, and co-production in digital mental health innovation.

    Levelling up digital mental health: from proliferation to precision · 2026 · DOI

  • One challenge is the high risk of developing major depression among individuals with subthreshold depression. Another challenge is the need to evaluate the long-term effects of CBT skills for preventing major depressive episodes. A technical challenge is the use of a fully decentralised clinical trial design.

    Cognitive and behavioural skills to prevent major depression among adults with subthreshold depression: 50-week follow-up analysis of smartphone CBT randomised trials (RESiLIENT trial) · 2026 · DOI

  • There is a need to evaluate the long-term effects of CBT skills for preventing major depressive episodes. Prior work has focused on short-term effects, and there is a gap in knowledge on long-term effects.

    Cognitive and behavioural skills to prevent major depression among adults with subthreshold depression: 50-week follow-up analysis of smartphone CBT randomised trials (RESiLIENT trial) · 2026 · DOI

  • Increased investigation of the potential harms to youth from GenAI - Understanding how GenAI may impact the behaviour and mental health status of teenagers - Incorporating AI in classrooms for teenagers

    Increasing use of generative artificial intelligence by teenagers · 2026 · DOI

  • The difficulties and challenges in teaching artificial intelligence concepts to youth were not discussed. The consequences of GenAI on the educational system were not discussed. The growing need and potential solutions for incorporating AI in classrooms for teenagers were omitted.

    Increasing use of generative artificial intelligence by teenagers · 2026 · DOI

  • One challenge is the shortage of mental health providers. Another challenge is the lack of fine-grained classification of support levels. Long waiting lists, stigma, and financial constraints are also challenges.

    Impact of support levels on effectiveness and drop-out of internet-based interventions for depression: network meta-analysis · 2026 · DOI

  • investigate the effects of support levels on other mental health conditions, - examine the impact of pre-intervention human contact on long-term outcomes, - compare the effectiveness of different types of therapeutic support

    Impact of support levels on effectiveness and drop-out of internet-based interventions for depression: network meta-analysis · 2026 · DOI

  • The gap in understanding of coercive control and technology-facilitated abuse within same-gender couples. The lack of research on the influence of social factors on willingness to intervene in coercive control situations involving technology-facilitated abuse.

    Hidden Control: Factors Explaining Neighbors’ Willingness to Intervene in Technology-facilitated Abuse within Same-Gender Male Couples · 2026 · DOI

  • One challenge is developing effective digital health ads that can persuade Somali American adolescents to use digital health interventions. Another challenge is addressing the cultural and developmental needs of the target population. The study also faces the challenge of evaluating the effectiveness of the ads in a rigorous and systematic way.

    Disseminating Health Prevention Programs Using AI-Crafted, Culturally Tailored Ads for Somali American Adolescents · 2026 · DOI

  • The study did not investigate the long-term effects of the digital health intervention. The study only included Somali American adolescents and the results may not be generalizable to other populations. The study used a sequential exploratory design and the results may be limited by the sample size and selection criteria. The study relied on self-reported measures of personal relevance, elaboration, message liking, and intentions to use the advertised online health intervention.

    Disseminating Health Prevention Programs Using AI-Crafted, Culturally Tailored Ads for Somali American Adolescents · 2026 · DOI

  • The study had a small sample size, - The study only included English-speaking parents with access to the internet, - The study was limited to parents living in the State of Texas

    Evaluating A Brief Telehealth Positive Parenting Intervention: A Randomized Controlled Trial · 2026 · DOI

  • The gap between the number of families needing mental health services and those who can access them. The lack of scalability of existing parenting interventions.

    Evaluating A Brief Telehealth Positive Parenting Intervention: A Randomized Controlled Trial · 2026 · DOI

  • further research is needed to explore the impact of parental perceptions on the utility and acceptance of MHB testing among parents and adolescents, - studies should investigate the relationship between demographic variables and parental perceptions of MHB testing, - research should examine the effectiveness of MHB testing in different populations and settings

    Parental Perceptions of Benefits and Risks Concerning Mental Health Biomarker Testing for Adolescents · 2026 · DOI

  • There is a noticeable gap in understanding parental perspectives regarding mental health biomarker testing. Prior studies have focused on the development of biomarkers, but there is a lack of research on parental perceptions of mental health biomarker testing. This gap is critical, as parental perceptions can influence the acceptance and utility of mental health biomarker testing.

    Parental Perceptions of Benefits and Risks Concerning Mental Health Biomarker Testing for Adolescents · 2026 · DOI

  • develop metrics for culturally responsive AI, - test guidelines in diverse settings, - consider their application to other healthcare areas

    Designing Chatbots and Social Robots for Mental Health to be Culturally Competent and People-Centered · 2026 · DOI

  • No study has considered how understandings of 'person-centered' healthcare vary across cultures. The task of operationalizing cultural competence in the design of AI chatbots and social robots for mental health is understudied and poorly understood.

    Designing Chatbots and Social Robots for Mental Health to be Culturally Competent and People-Centered · 2026 · DOI

  • sample sizes were small, - the study did not report whether participant characteristics moderated intervention outcomes, - variability in cognitive functioning was noted as a limitation, - the study did not use age subgroup, cognitive functioning, digital literacy, or baseline mental health need to guide intervention design

    Personalized for Whom? Examining Individual Differences in AI-Based Mental Health Interventions for Older Adults: A Scoping Review · 2026 · DOI

  • future research must clarify for whom AI-based mental health interventions work, - under what conditions, - with what adaptations, - addressing the gap in adapting AI interventions to account for individual differences across older adult subgroups

    Personalized for Whom? Examining Individual Differences in AI-Based Mental Health Interventions for Older Adults: A Scoping Review · 2026 · DOI

  • The absence of interaction with a clinician or human supporter in self-guided digital mental health interventions makes it unclear how to monitor and report safety, including adverse events. There is a gap in the monitoring and reporting of adverse events in self-help digital mental health interventions for young people.

    How have contemporary studies evaluating self-help digital mental health interventions for young people monitored and reported on adverse events and harms?: a systematic scoping review · 2026 · DOI

  • Investigating the optimal level of engagement required to achieve meaningful benefit. Examining the long-term effects of BA skills beyond week 26. Comparing the effectiveness of different types of CBT programs. Investigating the effects of BA skills on different populations.

    Smartphone CBT engagement and depressive symptoms: secondary analysis of the RESiLIENT trial using a time-varying exposure approach · 2026 · DOI

  • The optimal level of engagement with smartphone-based CBT programs for subthreshold depression is unclear. Prior studies have not accounted for time-varying confounders in analyzing engagement and depressive symptom improvements.

    Smartphone CBT engagement and depressive symptoms: secondary analysis of the RESiLIENT trial using a time-varying exposure approach · 2026 · DOI

  • The gap in the current literature is the lack of examination of the assumptions underlying computational psychiatry. The field assumes that computational parameters are recoverable, reliable, and generalizable, but these assumptions are not always met. The paper identifies the need for careful assessment of these assumptions to ensure the robustness of the field.

    The recoverability, reliability, and generalizability of reward processing parameters and relation to mental health symptoms · 2026 · DOI

Most-cited papers in Digital Mental Health Interventions

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599 open questions have been extracted from the limitations and future-work passages of 1,918 Digital Mental Health Interventions papers in our 4.5M-paper local library. Each one below links back to the study that raised it, so you can read the original claim in context.

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