Background: The global shortage of mental health workers has prompted the utilization of technological advancements, such as chatbots, to meet the needs of people with mental health conditions. Chatbots are systems that are able to converse and interact with human users using spoken, written, and visual language. While numerous studies have assessed the effectiveness and safety of using chatbots in mental health, no reviews have pooled the results of those studies. Objective: This study aimed to assess the effectiveness and safety of using chatbots to improve mental health through summarizing and pooling the results of previous studies. Methods: A systematic review was carried out to achieve this objective. The search sources were 7 bibliographic databases (eg, MEDLINE, EMBASE, PsycINFO), the search engine “Google Scholar,” and backward and forward reference list checking of the included studies and relevant reviews. Two reviewers independently selected the studies, extracted data from the included studies, and assessed the risk of bias. Data extracted from studies were synthesized using narrative and statistical methods, as appropriate. Results: Of 1048 citations retrieved, we identified 12 studies examining the effect of using chatbots on 8 outcomes. Weak evidence demonstrated that chatbots were effective in improving depression, distress, stress, and acrophobia. In contrast, according to similar evidence, there was no statistically significant effect of using chatbots on subjective psychological wellbeing. Results were conflicting regarding the effect of chatbots on the severity of anxiety and positive and negative affect. Only two studies assessed the safety of chatbots and concluded that they are safe in mental health, as no adverse events or harms were reported. Conclusions: Chatbots have the potential to improve mental health. However, the evidence in this review was not sufficient to definitely conclude this due to lack of evidence that their effect is clinically important, a lack of studies assessing each outcome, high risk of bias in those studies, and conflicting results for some outcomes. Further studies are required to draw solid conclusions about the effectiveness and safety of chatbots. Trial Registration: PROSPERO International Prospective Register of Systematic Reviews CRD42019141219; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42019141219

This article investigates the psychological well‐being of students from all faculties across their undergraduate degree from pre‐registration to semester two of year three at one UK university. Data were collected on seven occasions, with 66% of students who began their studies between 2000 and 2002 taking part in the project. Psychological well‐being was assessed using the General Population Clinical Outcomes in Routine Evaluation (GP‐CORE). Results show that greater strain is placed on well‐being once students start university compared to pre‐university levels. Levels of strain are generally highest during semester one, with significant reduction in levels of distress from semester one to semester two being observed in both year one and year three. At no time did levels of distress fall to pre‐registration levels. Given these results show university to be a time of heightened distress, there is a need to ensure that students receive the support necessary throughout their studies to enable them to successfully complete their degree course, enabling them to negotiate the transition to university and then ultimately into the workforce.

Background: There is a need for a generic, short, and easy‐to‐use assessment measure for common presentations of psychological distress in UK primary care mental health settings. This paper sets out the development of the CORE‐10 in response to this need. Method: Items were drawn from the CORE‐OM and 10 items were selected according to a combination of usefulness, coverage of item clusters, and statistical procedures. Three CORE‐OM datasets were employed in the development phase: (1) a primary care sample, (2) a sample from an MRC platform trial of enhanced collaborative care of depression in primary care, and (3) a general population sample derived from the Office of National Statistics Psychiatric Morbidity Follow‐up survey. A fourth dataset comprising a sample from an occupational health setting was used to evaluate the CORE‐10 in its standalone format. Results: The internal reliability (alpha) of the CORE‐10 was .90 and the score for the CORE‐10 correlated with the CORE‐OM at .94 in a clinical sample and .92 in a non‐clinical sample. The clinical cut‐off score for general psychological distress was 11.0 with a reliable change index (90% CI) of 6. For depression, the cut‐off score for the CORE‐10 was 13 and yielded sensitivity and specificity values of .92 (CI=.83–1.0) and 0.72 (CI=.60–.83) respectively. Conclusion: The CORE‐10 is an acceptable and feasible instrument that has good psychometric properties and is practical to use with people presenting with common mental health problems in primary care settings.

Background: Chatbots have been used in the last decade to improve access to mental health care services. Perceptions and opinions of patients influence the adoption of chatbots for health care. Many studies have been conducted to assess the perceptions and opinions of patients about mental health chatbots. To the best of our knowledge, there has been no review of the evidence surrounding perceptions and opinions of patients about mental health chatbots. Objective: This study aims to conduct a scoping review of the perceptions and opinions of patients about chatbots for mental health. Methods: The scoping review was carried out in line with the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) extension for scoping reviews guidelines. Studies were identified by searching 8 electronic databases (eg, MEDLINE and Embase) in addition to conducting backward and forward reference list checking of the included studies and relevant reviews. In total, 2 reviewers independently selected studies and extracted data from the included studies. Data were synthesized using thematic analysis. Results: Of 1072 citations retrieved, 37 unique studies were included in the review. The thematic analysis generated 10 themes from the findings of the studies: usefulness, ease of use, responsiveness, understandability, acceptability, attractiveness, trustworthiness, enjoyability, content, and comparisons. Conclusions: The results demonstrated overall positive perceptions and opinions of patients about chatbots for mental health. Important issues to be addressed in the future are the linguistic capabilities of the chatbots: they have to be able to deal adequately with unexpected user input, provide high-quality responses, and have to show high variability in responses. To be useful for clinical practice, we have to find ways to harmonize chatbot content with individual treatment recommendations, that is, a personalization of chatbot conversations is required.

The Social Norms Approach is a widely used intervention strategy for promoting positive health-related behaviors. The Approach operates on the premise that individuals misperceive their peers’ behaviors and attitudes, with evidence of under- and over-estimations of behaviors and peer approval for a range of positive and negative behaviors respectively. The greater these misperceptions, the more likely an individual is to engage in negative behaviors such as consuming heavier amounts of alcohol and other substances and reduce positive behaviors such as eating healthily and using sun protection. However, there are many complexities associated with the use of social norms feedback in interventions and empirical studies. Many social norms interventions do not attempt to change misperceptions of social norms or measure changes in normative perceptions pre- and post-intervention. This has led to a conflation of generic social norms interventions with those that are explicitly testing the Approach’s assumptions that it is misperceptions of peer norms which drive behavior. The aim of the present review was to provide a critical appraisal of the use of the Social Norms Approach as an intervention strategy for health-related behaviors, identify the current issues with its evidence base, highlight key opportunities and challenges facing the approach, and make recommendations for good practice when using the approach. There are three core challenges and areas for improved practice when using the Social Norms Approach. Firstly, improvements in the methodological rigor and clarity of reporting of ‘social norms’ research, ensuring that studies are testing the approach’s assumption of the role of misperceptions on behaviors are differentiated from studies investigating other forms of ‘social norms.’ Secondly, the need for a more explicit, unified and testable theoretical model outlining the development of normative misperceptions which can be translated into interventional studies. Finally, a need for a more robust evaluation of social norms interventions in addition to randomized controlled trials, such as the inclusion of process evaluations, qualitative studies of participant experiences of social norms feedback, and alternative study designs better suited for real-world public health settings. Such improvements are required to ensure that the Social Norms Approach is adequately tested and evaluated.

This paper profiles the psychological well-being of students in their initial year of university. There were three aims: to measure the impact of arrival at university on the psychological well-being of first year students, to monitor (i.e. profile) the shape of psychological well-being across the first year, and to investigate how students manage their well-being in relation to the use of university counselling services. Data were collected on four occasions, with 84% of all first year students at a UK university (4,699 students) completing the questionnaire on at least one occasion. Psychological well-being was assessed using the GP-CORE, a general population form of the CORE-OM. Results show that greater strain is placed on well-being once students start university compared to levels preceding entry. This strain rises and falls across the year but does not return to pre-university levels. Items tapping depression and anxiety suggest that the first year of university is a time of heightened anxiety but not a particularly depressive time. The findings are discussed in relation to students’ experience of higher education and how to match student needs with university counselling service provision.