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Attention deficit hyperactivity disorder is a common neurodevelopmental disorder presenting to Child and Adolescent Mental Health Services (CAMHS) in Ireland, where variability in assessment, monitoring, and follow-up persists despite established standards of care. The ADMiRE clinical pathway was developed to improve consistency in care delivery, but its paper-based format limited scalability and increased administrative burden. This perspective describes the development of a digital platform to operationalise the ADMiRE pathway in routine clinical practice. The system was developed through an iterative, stakeholder-informed process involving clinicians and service stakeholders. The platform includes structured referral management, standardised diagnostic and monitoring tools with automated scoring, medication and case management, longitudinal monitoring, and automated clinical documentation. These features aim to support more consistent, guideline-informed care and reduce administrative burden while improving continuity across services. The experience highlights opportunities and challenges in translating structured clinical pathways into scalable digital systems within CAMHS.
Healthy aging plays a crucial role in a country’s economic growth. However, older adults face health challenges, resulting in financial pressure on a country’s healthcare systems, a situation worsened during the pandemic. Amidst these challenges, digital health, such as telehealth, mHealth, and eHealth, emerged to address limited healthcare resources during and following COVID-19. This paper critically analyzes the current landscape of digital health for later life in Canada and the initiatives promoting it. A critical narrative review of 38 sources, including peer-reviewed studies, policy documents, and grey literature, was conducted. Thematic analysis identified four domains: access and utilization, structural barriers, digital ageism, and policy responses. Digital health expanded access and continuity of care, but significant inequities persist, including limited digital literacy, affordability constraints, and uneven infrastructure. Digital ageism operates across individual, institutional, and technological levels. Addressing these challenges requires equity-centred policies, inclusive design, and system-level interventions to support healthy aging.
Digital innovations, primarily enabled by mobile network access, are emerging as valuable tools for reducing the large mental health treatment gap in low- and middle-income countries (LMIC). Digital mental health tools are being introduced in West Africa, where strong links between mental health and spiritual practice lead many people to seek care from traditional/faith healers. The intersection of technology and traditional healing may offer a new path for providing care in under-resourced communities but requires adaptation and cultural sensitivity. We explored the views and perceptions of faith healers who used a digital mental health application called M-Healer while caring for people with serious mental illness (SMI) over an 8-week trial period. The M-Healer app teaches basic psychosocial skills to help improve the quality of care and reduce the risk of human rights violations via check-in, patient tracking, video and audio features. This case study draws on a series of semi-structured interviews and design workshops conducted with faith healers at three prayer camps in the Eastern Region of Ghana, from November 2019 to August 2023. Inductive thematic analysis of transcripts yielded two primary themes: (1) opportunities for supporting care at the intersection of technology, spiritual practice and mental health treatment, and (2) tensions regarding the adaptation, adoption and integration of technology in this context. This case study highlights the importance of collaborative design, iterative feedback and spiritual framing when developing a digital tool for use in a low-resource faith-healing setting.
Perinatal depression is a global health concern linked to adverse maternal and neonatal outcomes. Although evidence-based psychological interventions, such as interpersonal psychotherapy (IPT), are effective, women lack access to in-person perinatal care. Smartphone-based interventions may offer scalable support; however, evidence from randomized controlled trials (RCTs) evaluating IPT-informed smartphone interventions remains limited. This study assessed the acceptability and efficacy of an IPT-informed smartphone intervention for perinatal mental well-being.
Methods
Participants were recruited nationwide through online advertisements and postcards. In this nonblinded RCT, 350 pregnant women were assigned to a fully self-guided smartphone application (intervention) or usual care (control). No minimum depression symptom score was required for participation. Acceptability in the intervention group at 8 weeks after enrolment was indicated by the Japanese version of the Client Satisfaction Questionnaire-8 (CSQ-8J) scores of ≥17. Efficacy was defined as the change in Patient Health Questionnaire-9 (PHQ-9) scores from baseline to 8 weeks following enrolment. Depressive symptoms were assessed at 1 month postpartum.
Results
The application achieved acceptability, with 90.2% (157/174) of participants scoring ≥17 on the CSQ-8J. No significant between-group differences in depressive symptoms were observed during pregnancy (standardized mean difference (SMD) = 0.11). At 1 month postpartum, the intervention group exhibited significantly lower depressive symptom scores (SMD = 0.28).
Conclusions
The smartphone application was highly acceptable. While no significant differences in depressive symptoms were observed during pregnancy, differences favoring the intervention group were observed at 1 month postpartum. An IPT-informed smartphone intervention may represent a promising approach to perinatal mental health support.
This chapter examines the role of technology in public health. It notes that much of the dramatic improvement in life expectancy over the last century stems from technological innovation and the dissemination of scientific knowledge. The chapter defines health technology broadly as knowledge applied in reproducible ways to improve health. It describes the life cycle of innovation – the process by which a technology is invented, selected, initially adopted, produced, goes into widespread use and is adapted or retired. Finally, this chapter discusses the benefits of health technologies, but also their potential risks, and strategies societies use to mitigate them.
Human parasitic gastrointestinal infections affect over 3.5 billion people worldwide, yet their diagnostic management remains heavily dependent on conventional microscopy. While artificial intelligence (AI) has emerged as a valuable tool in digital parasitology, its application has progressed unevenly across different parasite classes. This systematic review evaluates AI-based diagnostic methods for human gastrointestinal parasites, systematically comparing performance between helminth detection and protozoan identification. From 4323 identified records, 77 studies met our inclusion criteria after rigorous application of exclusion criteria. Of these, 42 studies (54.5%) focused on helminth detection, 28 studies (36.4%) focused on gastrointestinal protozoa and 7 studies (9.1%) evaluated algorithms applicable to both parasite classes. Convolutional neural networks dominated the field (66.2% of studies), with You Only Look Once variants representing the most common object detection architecture (27.3%). For helminth detection, reported sensitivities ranged from 85% to 98% in externally validated studies, with several systems demonstrating superior sensitivity compared to expert microscopists. For protozoan detection, although internal validation frequently reported accuracies exceeding 90%, only 17.9% of studies performed external validation, which revealed substantial performance degradation of 15–30 percentage points. AI demonstrates promising performance in controlled settings, yet it remains limited by a lack of external validation. Notably, 71.4% of the datasets were sourced from a single institution, restricting the scope of generalizability claims. Closing this diagnostic gap requires coordinated efforts to establish standardized imaging protocols, create diverse open-access repositories and adapt advanced machine learning techniques from adjacent fields such as digital pathology.
Digitalization and data-driven research are widely recognized as key drivers of innovation in healthcare, with the potential to improve clinical outcomes, accelerate research, and support evidence-based policymaking. Nevertheless, across jurisdictions, obstacles such as fragmented data governance, limited interoperability, and tensions between data protection and data reuse continue to hinder the effective use of health data. The Regulation on the European Health Data Space (Regulation (EU) 2025/327) represents a significant shift in EU health data governance. It seeks to create a single European market for health data by introducing harmonized rules, shared technical standards, and new institutional structures, while simultaneously reinforcing patients’ rights, access to their data, and control over its use. This paper aims to provide a clear and systematic account of the Regulation for a broad international and interdisciplinary audience. It situates the legal piece within its broader political and legal context, highlighting the factors that shaped its design and providing a comprehensive analysis of its core concepts. Using the patient opt-out regime as a case study, the paper critically examines the enduring tensions between safeguarding fundamental rights, ensuring patient autonomy, and fostering innovation and economic objectives, all while accommodating national preferences.
Depression affects over 400 million adults worldwide and is associated with substantial morbidity and mortality. Although symptoms vary in their responsiveness to treatment, clinical trials typically report total scores, obscuring symptom-level effects. Despite collaborative care’s effectiveness for depression in primary care, its impact on individual depressive symptoms among racially and socioeconomically diverse patients remains unclear.
Methods
We conducted a secondary analysis of the eIMPACT trial of 216 primary care patients (Mage = 59 years; 78% women; 50% Black; 46% with income <$10,000/year). Participants were randomized to 12 months of modernized collaborative care (internet cognitive-behavioral therapy [CBT], telephonic CBT, and/or select antidepressants) or usual primary care. Two path analytic models estimated simultaneous item-level effects on the Hopkins Symptom Checklist-20 (SCL-20) and Patient Health Questionnaire-9 (PHQ-9).
Results
The intervention outperformed usual care on 15 of 20 SCL-20 items and 7 of 9 PHQ-9 items. Seventeen symptoms – including hopelessness, anxious distress, depressed mood, self-blame, worthlessness, disturbed sleep, and fatigue – showed moderate-to-large between-group improvement (βs = −0.50 to −0.70). Smaller but significant gains were observed for six other symptoms (βs = −0.35 to −0.49). No significant advantage emerged for suicidality, loneliness, sexual dysfunction, appetite change, or psychomotor symptoms (βs = −0.03 to −0.37).
Conclusions
Modernized collaborative care improves most depressive symptoms in diverse primary care patients, though cross-measure persistent symptoms highlight clinically consequential domains that may be obscured by total scores. Symptom-level analyses may help identify persistent symptom domains requiring targeted adjunctive treatment to optimize recovery.
Task-sharing with non-specialist providers offers a promising solution to the mental health workforce shortage in low-resource settings. Supervision is essential to ensure treatment quality, but is often constrained by limited specialist availability.
Aims
This study evaluated the costs of developing PEERS, a smartphone app that can facilitate registering and scheduling supervision sessions, collecting patient outcomes, rating therapy quality and assessing supervision quality among community-based non-specialist providers delivering behavioural activation for depression.
Method
The PEERS digital application was developed between June 2021 and September 2022 for use in Madhya Pradesh and Goa, India. Development involved contributions from researchers, clinicians, technology experts and end users. Activity-based costing was used to systematically document the inputs and expenditures involved in developing the PEERS app and its accompanying training materials from a health systems perspective. Key cost components included human resources, leadership, IT support and infrastructure.
Results
Total development costs were US$130 027, with the costs of information technology accounting for the largest share (81%; US$105 110). Human resource contributions accounted for 17% (US$22 523), which included oversight and contributions from international research collaborators. Additional costs included overhead and infrastructure (US$2393).
Conclusions
Digital tools are increasingly being used to expand access to and support the delivery of mental health interventions in low-resource settings, yet few studies report on the development costs. By estimating the costs and resources required for developing a digital app for peer supervision, this study can inform efforts to facilitate broader implementation and adaptation of the app for use in other settings.
Patient-reported outcome measures (PROMs) are central to person-centred mental healthcare, yet evidence from large-scale digital implementation in routine psychiatry is limited.
Aims
To describe demographic characteristics and PROMs outcomes in out-patient mental health services across a multicentre Spanish network, and to analyse associations between PROMs and adherence, medication side-effects, self-harm and suicide attempts.
Method
A multicentre, cross-sectional study included adults attending out-patient mental health clinics (October 2023–March 2025) and who participated in a digital PROMs (e-PROMs) program. Validated Spanish versions of the World Health Organization-Five Well Being Index (WHO-5), Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), Alcohol Use Disorders Identification Test (AUDIT-C), Drug Abuse Screening Test-10 (DAST-10) and Primary Care PTSD Screen for DSM-5 (PC-PTSD-5) scales were deployed via a patient web portal and integrated into the electronic health record. Associations were examined using univariate tests and multivariate logistic regression.
Results
Of 73 140 referred patients, 7925 (10.9%) completed PROMs (median age 48 years; 68.8% women). Well-being was low (WHO-5 median 36). Moderately severe–severe depression affected 38.5%, severe anxiety 30.9% and post-traumatic stress disorder (PTSD) risk 42.4%. Substance misuse risk was identified in 7.2% and hazardous drinking in 14.7%. Women reported lower well-being (p < 0.001) and higher severe depression (40.6 v. 34.0%, p < 0.001), severe anxiety (33.1 v. 26.0%, p = 0.003) and PTSD risk (45.2 v. 36.1%, p = 0.002). Men had higher substance misuse (9.7 v. 6.0%, p = 0.033) and hazardous drinking (16.3 v. 14.0%, p = 0.034).
In multivariate models, the strongest predictors of self-harm (odds ratio >2) included severe depression (odds ratio 4.52, p < 0.001), substance misuse (odds ratio 2.38, p < 0.001), PTSD risk (odds ratio 2.29, p < 0.001) and moderate depression (odds ratio 2.27, p < 0.001). The strongest predictors of suicide attempts included all grades of depression (p < 0.001), PTSD risk (odds ratio 2.39, p < 0.001) and substance misuse (odds ratio 2.37, p < 0.001). Risk of alcohol abuse (odds ratio 0.60, p < 0.001) and substance misuse (odds ratio 0.73, p = 0.003) predicted non-adherence.
Conclusions
Large-scale digital PROMs collection is feasible and clinically informative. PROMs strongly predicted self-harm, suicidality and adherence, supporting their use for early risk detection and measurement-based psychiatric care.
The European Union’s Artificial Intelligence Act introduces a novel regulatory category of “unacceptable risk,” prohibiting specific AI practices that are deemed fundamentally incompatible with human rights and ethical principles. While much attention has focused on the regulation of high-risk AI systems, particularly in medical contexts, the AI Act’s outright bans under Article 5 have received far less scrutiny. This paper addresses that gap by examining how these prohibitions apply to healthcare and public health, which are domains defined by rapid technological uptake, structural vulnerability, and ethically sensitive decision-making. Drawing on the European Commission’s 2025 interpretative Guidelines, the paper argues that several health-related AI applications, such as emotion recognition tools, biometric categorisation systems, and technologies that influence or target vulnerable populations, may fall within the scope of the bans. It also shows that the Act’s medical and safety exceptions risk weakening the vulnerability protections that the prohibitions aim to secure. By integrating legal analysis with real-world health examples, the paper offers a framework for interpreting these prohibitions and assesses how they should guide the ethical boundaries of AI in healthcare, within and beyond the European context.
Telemental health, including telepsychiatry, has become a core component of Qatar’s mental healthcare system, enabling remote psychiatric assessment, therapy and follow-up care. Its rapid adoption during the COVID-19 pandemic facilitated timely intervention, reduced out-patient no-show rates and improved access across populations. Services have expanded to include allied digital interventions such as tele-occupational and tele-speech therapy, delivered within a hybrid care model. Operating within a national telemedicine framework, telemental health in Qatar demonstrates feasibility and sustained utility beyond the pandemic. Continued development will require investment in infrastructure, clinician training and telepsychiatry-specific policies to ensure safe, effective and equitable care.
Older refugees often navigate complex health care needs while aging in resettlement contexts. For Syrian refugees in the Greater Toronto Area and surrounding regions, barriers within the Canadian health care system may shape how care is accessed, coordinated, and supplemented through transnational practices. This study examines how older Syrian refugees aging in the Greater Toronto Area and surrounding regions navigate health care and construct hybrid health care pathways across local and transnational contexts. A qualitative interpretive descriptive design was used. In-depth interviews were conducted with 20 Syrian refugees aged 55–63. Data were analyzed using reflexive thematic analysis to identify patterns in participants’ experiences of accessing, coordinating, and supplementing health care. Participants described persistent linguistic barriers, long wait times, and limited access to culturally aligned services within the Canadian health care system. In response, they developed hybrid health care pathways that combined Canadian health care with transnational practices, including consultations with clinicians abroad, cross-border medication use, family support, traditional remedies, and digital technologies. Digital tools played a central role in bridging language and geographic gaps and supporting care coordination. While these hybrid pathways enhanced autonomy, continuity of care, and perceived control, they also introduced risks related to medication safety, fragmented care, informal decision-making, and digital inequities. The findings show that older Syrian refugees’ health care navigation extends beyond formal Canadian health services and is shaped by transnational relationships, cultural knowledge, digital access, and prior health system experiences. Hybrid health care pathways can support continuity and culturally meaningful care, but they also require careful attention to safety, communication, and equity. Health systems should develop culturally responsive and digitally inclusive models that recognize transnational care practices while supporting safer integration with local care.
The effective integration of palliative care along the hospital–home trajectory remains a challenge, with digital technologies representing a promising strategy to improve continuity and coordination of care. This study aimed to validate, through expert consensus, the objectives, functionalities, clinical content, organizational requirements, and barriers and facilitators of a technological resource to support the integration of palliative care from hospital to home.
Methods
A methodological consensus study using a modified Delphi technique was conducted over two rounds. A multidisciplinary panel of experts with experience in palliative care, digital health, and healthcare organization participated. In the first round, experts evaluated an initial set of items derived from the literature and clinical practice. Items were analyzed for consensus and, based on qualitative comments, linguistically refined. In the second round, experts reassessed the items to confirm consensus and evaluate the stability of responses. A 4-point Likert scale was used. Consensus was defined as ≥75% of responses indicating “Agree” or “Strongly agree,” with calculation of the Item Content Validity Index (I-CVI) and the coefficient of variation.
Results
Thirty-three experts participated in both rounds, corresponding to a 100% retention rate. All items reached consensus in the first round and maintained consensus and high stability in the second round. Agreement levels were high across all domains, with I-CVI values ≥0.78 and coefficients of variation below 0.25, confirming the content validity of the final set of items. No items were excluded throughout the Delphi process.
Significance of results
This study validated a comprehensive and structured set of essential components for the development of a technological resource to support the integration of palliative care from hospital to home. The high levels of consensus and stability achieved support the clinical and organizational relevance of the resource, providing a solid foundation for its development, implementation, and future evaluation.
Access to evidence-based psychosocial interventions for adults with attention-deficit/hyperactivity disorder (ADHD) remains limited, despite strong patient demand for nonpharmacological options such as cognitive behavioral therapy (CBT). Digital interventions may offer a scalable, low-threshold solution to meet this need and complement existing care. This pragmatic randomized controlled trial evaluated the effectiveness of attexis, a fully self-guided digital intervention based on CBT and mindfulness principles, as an adjunct to treatment as usual (TAU). A total of 337 adults with confirmed ADHD were randomized to either attexis + TAU or TAU alone. The primary outcome was ADHD symptom severity (Adult ADHD Self-Report Scale total score) at 3 months post-randomization (T1). Secondary outcomes included functional impairment, depressive symptoms, self-esteem, and health-related quality of life. Follow-up was conducted at 6 months (T2). Intent-to-treat analyses showed significantly lower ADHD symptom severity in the intervention group at T1 (baseline-adjusted mean difference = −5.0 points; d = 0.85, p < .001). Significant improvements were also observed across all secondary outcomes, and effects remained stable at T2. Responder analyses confirmed the clinical relevance of the findings. Subgroup analyses demonstrated consistent effects across sex, medication use, psychotherapy status, and treatment changes. No adverse events related to attexis were reported. attexis was effective in reducing ADHD symptoms and improving a broad range of functional and psychosocial outcomes. As a safe, low-threshold, fully self-guided intervention, it may serve as a valuable adjunct to routine care and help address existing gaps in access to psychosocial treatment for adults with ADHD.
The rapid evolution of digital health technologies (DHTs) presents distinct challenges for health technology assessment (HTA). Existing HTA frameworks, largely designed for conventional health interventions, may not sufficiently address these unique complexities. This scoping review provides an overview of existing assessment frameworks for DHTs, analyzing their purpose and the guidance they offer within the domains of the EUnetHTA Core Model.
Methods
The review followed the Joanna Briggs Institute methodology and PRISMA-ScR guidelines. The literature was identified through searches in PubMed and Embase, covering publications from 2015 to 2024 in English or German, and was complemented by a manual hand search. The studies were screened and analyzed using Covidence, with data categorized inductively based on the EUnetHTA Core Model domains.
Results
Of 3,576 screened records, 15 met inclusion criteria; an additional 45 frameworks were identified through hand searching, resulting in a total of 60 frameworks. Most frameworks focused on digital health applications (68 percent), while only a few addressed technologies such as artificial intelligence (2 percent). The frameworks primarily provide guidance on assessment, with varying focus on evidence requirements. The domains of the EUnetHTA Core Model were variably represented across the frameworks. Technical characteristics were most frequently addressed, while ethical, legal, and organizational domains received limited attention.
Conclusions
This review highlights the diversity of existing frameworks for DHT assessment. This emphasizes the potential relevance of a future standardized framework that contains explanations of the methodological approach to the assessment of DHTs and is modularly customizable depending on the type of technology.
In recent years, utilizing technologies, such as virtual reality in mental healthcare and treatment, has developed significantly. This study aimed to investigate the effect of using virtual reality (VR) technology on controlling anxiety and reducing fear of heights (acrophobia). This study was a randomized controlled trial conducted in Birjand, Iran, in 2020. 120 participants were recruited and randomly allocated into two groups: intervention and control. The intervention group underwent a single simulated exposure to height using a virtual reality headset. The Beck Anxiety Inventory, alongside a researcher-developed questionnaire were administered as pre-tests to assess acrophobia. Data analysis was performed using SPSS version 23, with significance level at 0.05. The intervention group showed significantly reduced anxiety and acrophobia scores immediately and 1 month after exposure (P < 0.05). Post-exposure, both anxiety and acrophobia scores were significantly lower in the intervention group compared to the control group (P = 0.03 and P < 0.001, respectively), with no significant differences between groups before exposure or 1 month later (P > 0.05). The study concluded that VR technology is an effective tool for reducing anxiety and acrophobia. This approach appears to hold significant promise as a therapeutic modality for psychiatrists treating patients with acrophobia.
Decentralized trial designs can improve accessibility and continuity of research participation by enabling remote data collection. This manuscript describes our team’s experiences with remote data collection to identify acute asthma exacerbations in a clinical study as well as practical insights that support the continued optimization of remote methodologies.
Methods:
In this 12-month observational study, adolescents aged 12–21 years with persistent asthma and ≥1 exacerbation in the prior 24 months completed an initial in-person visit followed by monthly virtual visits. Participants used home spirometry, app-based symptom tracking, smart inhalers to monitor lung function and short-acting beta agonist (SABA) use, and self-collection of nasal epithelial lining fluid (NELF) samples. Exacerbations were defined a priori by symptom/SABA thresholds or ≥20% FEV1 decline.
Results:
Forty participants enrolled; 73% completed all visits. Median adherence to performance of daily spirometry and symptom surveys was 44% and 38%, respectively. Seventy-eight percent experienced ≥1 exacerbation. Of 132 alerts, 80% represented true exacerbations, primarily due to ≥20% FEV1 decline; erroneous alerts were linked to software errors and poor spirometry technique. Sixty-six NELF sample sets were collected and 50 were analyzed. Cytokine concentrations did not differ significantly between clinic-collected and self-collected samples. Technical challenges included device connectivity issues, erroneous alerts, and shipping delays.
Conclusions:
Decentralized study designs with remote data collection requires further study as a means of conducting clinical research in asthma that increases participant accessibility, representation and generalizability of trial results. This approach presents numerous challenges and requires further optimization to address adherence, technical complexity, and staff burden while maintaining scientific rigor.
Digital technologies provide a convenient and scalable approach to dietary assessment and personalised feedback, facilitating behaviour change. This is essential for reducing the prevalence of non-communicable diseases at a population level. However, the evaluation of the acceptability and feasibility of dietary feedback delivered via online platforms has not been thoroughly investigated. By utilising the term ‘system architecture’ to describe the essential components of the digital approach to capturing dietary feedback, this systematic review outlines the platform, dietary assessment methodology, reference values for assessing dietary intake and elements of personalised dietary feedback. When reported, the acceptability and feasibility of personalised feedback were captured. OVID Medline, OVID Embase, Scopus via Elsevier and Cinahl Plus via EBSCO identified 5839 studies. Search terms included dietary assessment, feedback and digital technologies. In total, twenty-eight studies involving 301 271 participants were included. Food frequency questionnaires were the most commonly used dietary assessment method, accessed via web-based platforms. Dietary intake was commonly assessed using a diet quality index, and feedback was provided on food groups, often combined with a diet quality score or macronutrient analysis. While participant acceptance of personalised dietary feedback was generally high, the overall completion rates for acceptability questionnaires were low, and feasibility was seldom reported. Methods used to measure acceptability and feasibility varied, preventing comparisons across studies. Study quality was high; however, future research would benefit from the involvement of stakeholders and end-users in designing feedback messages.
Understanding service users’ knowledge of and attitudes towards the rapidly progressing field of mental health technology (MHT) is an important endeavour in clinical psychiatry.
Methods:
To evaluate the current use of and attitudes towards MHT (mobile apps, online therapy and counselling, telehealth, web-based programmes, chatbots, social media), a 5-point Likert-scale survey was designed based on previous studies and distributed to attendees of an adult community mental health service in Ireland. Chi-square tests were used and corrected for multiple comparisons.
Results:
107 mental health service users completed the survey (58% female, aged 18–80). 86% of respondents owned a smartphone. 27.1% reported using a mental health application, while 33.6% expressed interest in using one in the future. 61.7% reported they had not used and were not interested in using AI for their mental health, and 51.4% indicated they would not feel comfortable using it. 46.8% were not comfortable with psychiatrists utilising AI in their care. The majority (86.9%) preferred face-to-face appointments, while 52.6% would consider using MHT while on a waiting list. Younger participants reported significantly greater comfort using mental health apps and higher self-rated knowledge of AI.
Conclusion:
There were low levels of knowledge about and comfort using MHT, accompanied by concerns about confidentiality and privacy. Younger service users tended to be more comfortable with and knowledgeable about MHT. Despite the growing interest in digital approaches, there remains a clear preference for face-to-face appointments, underscoring the importance of addressing privacy and safety concerns, together with training and education.