Background Blended therapy describes the use of computerised therapy combined with face-to-face therapy to extend the depth, range and nature of the face-to-face therapy. We wanted to develop a treatment manual for a randomised trial of blended therapy combining face-to-face problem solving and a smartphone app in men who present to hospital with self-harm. Objective To develop a treatment manual and to describe the experience of receiving and delivering a blended therapy. Methods After completion of the blended therapy, semistructured qualitative interviews were conducted with participants to describe their experience of the treatment. Two independent coders analysed the material using a thematic, grounded theory approach. Findings Seven men were enrolled in the study, and six completed the qualitative interviews. The two main themes identified were of trust and connection. Participants attended 85% of their appointments. Conclusions In the treatment manual, we emphasised the themes of trust and connection by allowing time to discuss the app in the face-to-face to sessions, ensuring that therapists are familiar with the app and know how to respond to technical queries. Identification of trust and connection generates novel questions about the importance of the therapeutic alliance with technology rather than with people. Clinical implications Clinicians and app developers need to pay attention to the therapeutic relationship with technology as trust and good communication can be easily damaged, resulting in disengagement with the app. Blended therapy may result in increased adherence to face-to-face sessions. Trial registration number NCT02718248

Background: Depression is a common mental disorder with a high social burden and significant impact on suicidality and quality of life. Treatment is often limited to drug therapies because of long waiting times to see psychological therapists face to face, despite several guidelines recommending that psychological treatments should be first-line interventions for mild to moderate depression. Objective: We aimed to evaluate, among patients on a waitlist to receive secondary mental health care services for depression, how effective coach-guided web-based therapy (The Journal) is, compared with an information-only waitlist control group, in reducing depression symptoms after 12 weeks. Methods: We conducted a randomized controlled trial with 2 parallel arms and a process evaluation, which included interviews with study participants. Participants assigned to the intervention group received 12 weeks of web-based therapy guided by a coach who had a background in social work. Patients in the control group receive a leaflet of mental health resources they could access. The primary outcome measure was a change in depression scores, as measured by the Patient-Health Questionnaire (PHQ-9). Results: A total of 95 participants were enrolled (intervention, n=47; control, n=48). The mean change in PHQ-9 scores from baseline to week 12 was −3.6 (SD 6.6) in the intervention group and −3.1 (SD 6.2) in the control group, which was not a statistically significant difference with a two-sided alpha of .05 (t91=−0.37; P=.72, 95% CI −3.1 to 2.2). At 12 weeks, participants in the intervention group reported higher health-related quality of life (mean EuroQol 5 dimensions visual analogue scale [EQ-5D-VAS] score 66.8, SD 18.0) compared with the control group (mean EQ-5D VAS score 55.9, SD 19.2; t84=−2.73; P=.01). There were no statistically significant differences between the two groups in health service use following their initial consultation with a psychiatrist. The process evaluation showed that participants in the intervention group completed a mean of 5.0 (SD 2.3) lessons in The Journal and 8.8 (SD 3.1) sessions with the coach. Most participants (29/47, 62%) in the intervention group who completed the full dose of the intervention, by finishing 6 or more lessons in The Journal, were more likely to have a clinically important reduction in depressive symptoms at 12 weeks compared with the control group (Χ21=6.3; P=.01, Φ=0.37). Participants who completed the interviews reported that the role played by the coach was a major factor in adherence to the study intervention. Conclusions: The results demonstrate that the use of guided web-based therapy for the treatment of depression is not more effective than information-only waitlist control. However, it showed that the coach has the potential to increase adherence and engagement with web-based depression treatment protocols. Further research is needed on what makes the coach effective. Trial Registration: ClinicalTrials.gov: NCT02423733; https://clinicaltrials.gov/ct2/show/NCT02423733

KEY POINTS Suicide is one of the leading causes of death in Canada, with about 10 Canadians dying by suicide each day.[1][1] Men represent nearly two-thirds of those who die by suicide after an index episode of self-harm.[2][2] However, interventions for these men have had modest effects, with poor

Introduction: Since the launch of Web 2.0, we have witnessed a trend toward digitizing healthcare tools for use by both patients and providers. Clinical trials focus on the ways that digital health technologies result in better outcomes for patients, increase access to healthcare and reduce costs. Critical approaches which explore how these technologies result in changes in patient embodiment, power relations, and the patient-provider relationship are badly needed. Objective: To provide an instructive case example of how Light et al.'s (2018) walkthrough method can be mobilized to study apps to address critical health communication research questions. Methods: We apply the walkthrough method to the BEACON Rx Platform. In doing so, we conduct a detailed technical walkthrough and evaluate the environment of expected use to answer the following questions: How does the platform shape (and how is it shaped by) understandings of what it means to be healthy? Who are its ideal users? How does this impact its environment of expected use? Conclusions: This paper demonstrates the potential contributions of the walkthrough method to critical health communication research, namely how it enables a detailed consideration of how an app's technical architecture and environment of expected use are embedded with symbolic representations of what it means to be healthy and what practices should be engaged in to maintain “good” health. It also demonstrated that, despite the rhetoric that digital health technologies democratize healthcare, the BEACON Rx platform is a risk monitoring tool by its very design.

Background: There is conflicting evidence on the suicide rates of different public safety personnel (PSP). There have been few studies that compare suicides in PSP with the general population and none that have used a detailed comparison of coroner records. Aims: The current study estimates suicide rates among different PSP and compares PSP suicides with the general population. Method: We identified coroner records of PSP suicides from January 2014 to December 2018 and compared each one to two matched general population controls. Results: We identified 36 PSP suicides and 72 general population controls. Police had a higher suicide rate than other PSP groups. PSP were more likely to die by firearm, be separated/divorced or married, die in a motor vehicle, have problems at work, and have a PTSD diagnosis. PSP were less likely to die by jumping. Limitations: The study may have not identified all PSP suicides. Apart from the cause of death, data in coroner records are not systematically collected, so information may be incomplete. Conclusion: PSP suicides appear different than the general population. Death records need to have an occupation identifier to enable monitoring of trends in occupational groups, such as PSP.