The online world may provide an alternative means to engage young people and students with suicidal feelings, who are typically reluctant to seek help. We aimed to map, characterise and obtain user evaluation of current online suicide support for this group in order to assess the usefulness of current provision and how it may be improved. We conducted a mixed-methods study, comprised of an internet search, content analysis of site features and qualitative interviews with site users: 9 young people and 4 general practitioners. Data collection took place in 2019 and 2020 in the UK.Young people participants were recruited through the well-being networks of a large University in South-West England and via a national young person's mental health app. General practitioners were recruited locally through professional networks. We identified a wide range of easily accessible online support, including examples of interactive services, such as live chat and text messaging, but a lack of support that is both suicide-specific and young adult-specific, and an absence of online suicide or mental health crisis support services tailored specifically for students. Qualitative data showed that clarity, brevity and immediacy are the most important facets of engaging crisis help for young people, and that young people may prefer to use textbased rather than verbal forms of communication when seeking help. Few services provided access to active peer support, outside of lived-experience stories, which were evaluated as both valuable and potentially harmful. There is a need to further develop tailored suicide specific online crisis support for young people and students, which is able to 'speak to' their age-specific needs and preferences. While lived experience may provide a valuable means of supporting young audiences, caution is required since this may have unintended negative consequences and further research is needed to understand the safe framing of such material.

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Rationale Cannabis-based medicinal products (CBMPs) have been identified as novel therapeutics for generalised anxiety disorder (GAD) based on pre-clinical models; however, there is a paucity of high-quality evidence on their effectiveness and safety. Objectives This study aimed to evaluate the clinical outcomes of patients with GAD treated with dried flower, oil-based preparations, or a combination of both CBMPs. Methods A prospective cohort study of patients with GAD (n = 302) enrolled in the UK Medical Cannabis Registry prescribed oil or flower-based CBMPs was performed. Primary outcomes were changes in generalised anxiety disorder-7 (GAD-7) questionnaires at 1, 3, and 6 months compared to baseline. Secondary outcomes were single-item sleep quality scale (SQS) and health-related quality of life index (EQ-5D-5L) questionnaires at the same time points. These changes were assessed by paired t-tests. Adverse events were assessed in line with CTCAE (Common Terminology Criteria for Adverse Events) v4.0. Results Improvements in anxiety, sleep quality and quality of life were observed at each time point (p < 0.001). Patients receiving CBMPs had improvements in GAD-7 at all time points (1 month: difference −5.3 (95% CI −4.6 to −6.1), 3 months: difference −5.5 (95% CI −4.7 to −6.4), 6 months: difference −4.5 (95% CI −3.2 to −5.7)). Thirty-nine participants (12.9%) reported 269 adverse events in the follow-up period. Conclusions Prescription of CBMPs in those with GAD is associated with clinically significant improvements in anxiety with an acceptable safety profile in a real-world setting. Randomised trials are required as a next step to investigate the efficacy of CBMPs.

Background Digital technologies play an increasingly important role in the lives of young people and have important effects on their mental health. Objective We aimed to explore 3 key areas of the intersection between digital technology and mental health: the views and experiences of young people and clinicians about digital technology and mental health; implementation and barriers to the UK national guidance recommendation—that the discussion of digital technology use should form a core part of mental health assessment; and how digital technology might be used to support existing consultations. Methods Two cross-sectional web-based surveys were conducted in 2020 between June and December, with mental health clinicians (n=99) and young people (n=320). Descriptive statistics were used to summarize the proportions. Multilinear regression was used to explore how the answers varied by gender, sexuality, and age. Thematic analysis was used to explore the contents of the extended free-text answers. Anxiety was measured using the Generalized Anxiety Disorder Questionnaire-7 (GAD-7). Results Digital technology use was ubiquitous among young people, with positive and negative aspects acknowledged by both clinicians and young people. Negative experiences were common (131/284, 46.1%) and were associated with increased anxiety levels among young people (GAD-7 3.29; 95% CI 1.97-4.61; P<.001). Although the discussion of digital technology use was regarded as important by clinicians and acceptable by young people, less than half of clinicians (42/85, 49.4%) routinely asked about the use of digital technology and over a third of young people (48/121, 39.6%) who had received mental health care had never been asked about their digital technology use. The conversations were often experienced as unhelpful. Helpful conversations were characterized by greater depth and exploration of how an individual’s digital technology use related to mental health. Despite most clinicians (59/83, 71.1%) wanting training, very few (21/86, 24.4%) reported receiving training. Clinicians were open to viewing mental health data from apps or social media to help with consultations. Although young people were generally, in theory, comfortable sharing such data with health professionals, when presented with a binary choice, most reported not wanting to share social media (84/117, 71.8%) or app data (67/118, 56.8%) during consultations. Conclusions Digital technology use was common, and negative experiences were frequent and associated with anxiety. Over a third of young people were not asked about their digital technology use during mental health consultations, and potentially valuable information about relevant negative experiences on the web was not being captured during consultations. Clinicians would benefit from having access to training to support these discussions with young people. Although young people recognized that app data could be helpful to clinicians, they appeared hesitant to share their own data. This finding suggests that data sharing has barriers that need to be further explored.

Background Mindstep is an app that aims to improve dementia screening by assessing cognition and risk factors. It considers important clinical risk factors, including prodromal symptoms, mental health disorders, and differential diagnoses of dementia. The 9-item Patient Health Questionnaire for depression (PHQ-9) and the 7-item Generalized Anxiety Disorder Scale (GAD-7) are widely validated and commonly used scales used in screening for depression and anxiety disorders, respectively. Shortened versions of both (PHQ-2/GAD-2) have been produced. Objective We sought to develop a method that maintained the brevity of these shorter questionnaires while maintaining the better precision of the original questionnaires. Methods Single questions were designed to encompass symptoms covered in the original questionnaires. Answers to these questions were combined with PHQ-2/GAD-2, and anonymized risk factors were collected by Mindset4Dementia from 2235 users. Machine learning models were trained to use these single questions in combination with data already collected by the app: age, response to a joke, and reporting of functional impairment to predict binary and continuous outcomes as measured using PHQ-9/GAD-7. Our model was developed with a training data set by using 10-fold cross-validation and a holdout testing data set and compared to results from using the shorter questionnaires (PHQ-2/GAD-2) alone to benchmark performance. Results We were able to achieve superior performance in predicting PHQ-9/GAD-7 screening cutoffs compared to PHQ-2 (difference in area under the curve 0.04, 95% CI 0.00-0.08, P=.02) but not GAD-2 (difference in area under the curve 0.00, 95% CI –0.02 to 0.03, P=.42). Regression models were able to accurately predict total questionnaire scores in PHQ-9 (R2=0.655, mean absolute error=2.267) and GAD-7 (R2=0.837, mean absolute error=1.780). Conclusions We app-adapted PHQ-4 by adding brief summary questions about factors normally covered in the longer questionnaires. We additionally trained machine learning models that used the wide range of additional information already collected in Mindstep to make a short app-based screening tool for affective disorders, which appears to have superior or equivalent performance to well-established methods.

Background Online activity has been linked to poor mental health in children and young people, particularly those with existing vulnerability who may inadvertently or otherwise access harmful content. It is suggested health and social care practitioners should address online activity during mental health consultations, but guidance about acceptable or effective ways to do this is lacking. This study sought to derive good practice guidance to support mental health practitioners to engage young people in conversations about their online activities and impact on mental health. Methods A mixed-methods Delphi (consensus) study was conducted with a panel of mental health practitioners (n = 21) and a panel of young people (n = 22). Practitioners worked with children or young adults in the UK, mostly in statutory services (80.9%), in varied clinical roles, with 2 – 30 years of experience and most were female (87.5%). Young people were mostly female (77.3%), 13—22 years old, reported varied mental health diagnoses and had sought help from services. Across 3 rounds, panellists completed questionnaires which involved rating agreement with statements and answering open-ended questions. Iterative analysis informed subsequent questionnaire content. The percentage of participants rating their level of agreement with each statement was calculated. The threshold for inclusion as a good practice indicator (GPI) was 75% across both panels. Thematic analysis was used for free-text data. Results Twenty-seven GPIs emerged covering ‘who’ (which young people) should be asked about online activities, ‘when’, ‘what’ should be discussed, and with what ‘outcome’. Panels agreed conversations should be initiated with all young people from first meeting and regularly thereafter, with ‘red flags’ indicating a conversation may be pertinent. Core topics were identified with additional areas for patients presenting with disordered eating or self-harm. Panels emphasised conversations should be fluid, normalised, and encourage reflection and self-awareness. Conclusions Mental health practitioners could empower young people to exercise agency in relation to online safety and capitalise on positive features. Findings also identify training needs for practitioners. Further research should explore real-world application of the GPIs and transferability to underrepresented groups within our panels, such as males and younger children. Ethnicity and deprivation were not recorded.

BACKGROUND Digital technologies play an increasingly important role in the lives of young people and have important effects on their mental health. OBJECTIVE We set out to explore three key areas of the intersection of digital technology and mental health: i) the views and experiences of both young people and clinicians with regards to digital technology and mental health; ii) implementation, and barriers to implementation of UK national guidance recommending that discussion of digital technology use should form a core part of mental health assessment; iii) how digital technology might be used to support existing consultations. METHODS Two cross-sectional online surveys were conducted in 2020, with mental health clinicians (n = 99) and young people (n = 320). Descriptive statistics were used to summarise proportions. Multilinear regression was used to explore how answers varied by gender, sexuality, and age. Thematic analysis was used to explore the content of extended free-text answers. Anxiety was measured by the Generalised Anxiety Questionnaire-7. RESULTS Digital technology use was ubiquitous among young people with positive and negative aspects acknowledged by both clinicians and young people. Negative experiences were common (131/284, 46.1%) and associated with increased anxiety levels among young people (3.29, 95% CI 1.97 to 4.61, P < .001). Although discussion of digital technology use was regarded as important by clinicians and acceptable by young people, under half of clinicians (42/85, 49.4%) routinely asked about use of digital technology and over a third of young people who had received mental health care had never been asked about their digital technology use (48/121, 39.6%). Conversations were often experienced as unhelpful. Helpful conversations were characterised by greater depth and exploration of how an individual’s digital technology use related to mental health. Despite most clinicians wanting training (59/83, 71.1%), very few healthcare professionals reported having received this (21/86, 24.4%). Clinicians were open to viewing mental health data from apps or social media to help with consultations. Although young people were generally in theory comfortable with sharing such data with health professionals, when presented with a binary choice a majority reported not wanting to do so within consultations. CONCLUSIONS Digital technology use is common and negative experiences are frequent and associated with anxiety. Over a third of young people are not asked about their digital technology use in mental health contacts and potentially valuable information about relevant negative online experiences is not being captured in consultations. Clinicians would benefit from having access to training to help support these discussions with young people.