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BackgroundSelf-guided web-based mental health programs are effective in treating and preventing mental health problems. However, current engagement with these programs in the community is suboptimal, and there is limited evidence indicating how to increase the use of existing evidence-based programs. ObjectiveThis study aims to investigate the views of people with lived experience of depression and anxiety on factors influencing their engagement with self-guided web-based mental health (e–mental health) programs and to use these perspectives to develop an engagement-facilitation intervention (EFI) to increase engagement (defined as both uptake and adherence) with these programs. MethodsA total of 24 community members (female=21; male=3) with lived experience of depression and anxiety or depression or anxiety alone participated in 1 of 4 focus groups discussing the factors influencing their engagement with self-guided e–mental health programs and the appearance, delivery mode, and functionality of content for the proposed EFI. A subsequent evaluation survey of the focus group participants (n=14) was conducted to evaluate the resultant draft EFI. Data were thematically analyzed using both inductive and deductive qualitative methods. ResultsParticipants suggested that the critical component of an EFI was information that would challenge personal barriers to engagement, including receiving personalized symptom feedback, information regarding the program’s content or effectiveness and data security, and normalization of using e–mental health programs (eg, testimonials). Reminders, rewards, feedback about progress, and coaching were all mentioned as facilitating adherence. ConclusionsEFIs have the potential to improve community uptake of e–mental health programs. They should focus on providing information on the content and effectiveness of e–mental health programs and normalizing their use. Given that the sample comprised predominantly young females, this study may not be generalizable to other population groups. There is a strong value in involving people with a lived experience in the design and development of EFIs to maximize their effectiveness.

There is growing recognition of the importance of addressing the mental health needs of young people attending university. Anonymous, scalable, and evidence-based online interventions can help to reduce burden on university services and increase access to care for marginalised or disconnected students. This paper reports the participatory design methods used to develop the Uni Virtual Clinic (UVC), a comprehensive online programme that was designed to prevent and treat mental health problems and related issues in university students. Data evaluating the participatory design process is also presented. The potential for the implementation of the UVC within university-based counselling services is strong, and has potential to reduce the prevalence of mental disorders in a high-risk group of young people.

Internet interventions for common mental disorders are widely available, effective, and economical, yet community uptake remains low. One consistently cited reason for not engaging in mental health interventions is lack of time. This research examined whether lack of time as a rationale for not using online interventions reflects real time scarcity, and whether time availability impacts intention to use interventions. A nationally representative sample (N = 1094, 51% women) reported their time use in activity categories for a typical week. Participants rated their acceptance and likelihood of use of mental health internet interventions, and completed mental health symptom, help-seeking and stigma measures. Amount of leisure time reported by participants was not associated with acceptance or likelihood of use of internet interventions for mental health. However, respondents who worked longer hours ranked time and effort factors as more influential in their intention to use internet-based mental health programs. Younger respondents and those with greater help-seeking attitudes reported higher acceptance of use. These findings suggest lack of time is not a direct barrier to use of internet interventions, and that perceived time scarcity may be masking real barriers to uptake. [ABSTRACT FROM AUTHOR]

Background: Mental health problems are common among university students, yet many students do not seek professional help. Digital mental health interventions can increase students' access to support and have been shown to be effective in preventing and treating mental health problems. However, little is known about the extent to which students implement therapeutic skills from these programs in everyday life (ie, skill enactment) or about the impact of skill enactment on outcomes. Objective: This study aims to assess the effects of a low-intensity video-based intervention, Uni Virtual Clinic Lite (UVC-Lite), in improving skill enactment relative to an attention-control program (primary aim) and examine whether skill enactment influences symptoms of depression and anxiety (secondary aim). The study also qualitatively explored participants' experiences of, and motivations for, engaging with the therapeutic techniques. Methods: We analyzed data from a randomized controlled trial testing the effectiveness of UVC-Lite for symptoms of depression and anxiety among university students with mild to moderate levels of psychological distress. Participants were recruited from universities across Australia and randomly assigned to 6 weeks of self-guided use of UVC-Lite (243/487, 49.9%) or an attention-control program (244/487, 50.1%). Quantitative data on skill enactment, depression, and anxiety were collected through baseline, postintervention, and 3- and 6-month follow-up surveys. Qualitative data were obtained from 29 intervention-group participants through open-ended questions during postintervention surveys (n=17, 59%) and semistructured interviews (n=12, 41%) after the intervention period concluded. Results: Mixed model repeated measures ANOVA demonstrated that the intervention did not significantly improve skill enactment (F3,215.36=0.50; P=.68). Skill enactment was also not found to influence change in symptoms of depression (F3,241.10=1.69; P=.17) or anxiety (F3,233.71=1.11; P=.35). However, higher levels of skill enactment were associated with lower symptom levels among both intervention and control group participants across time points (depression: F1,541.87=134.61; P<.001; anxiety: F1,535.11=73.08; P<.001). Inductive content analysis confirmed low levels of skill enactment among intervention group participants. Participants were motivated to use techniques and skills that were perceived to be personally relevant, easily integrated into daily life, and that were novel or had worked for them in the past. Conclusions: The intervention did not improve skill enactment or mental health among students with mild to moderate psychological distress. Low adherence impacted our ability to draw robust conclusions regarding the intervention's impact on outcomes. Factors influencing skill enactment differed across individuals, suggesting that it may be necessary to tailor therapeutic skills and engagement strategies to the individual user. Theoretically informed research involving collaboration with end users is needed to understand the processes underlying skill enactment in digital mental health interventions. [ABSTRACT FROM AUTHOR]

Objective: To examine and describe telehealth use and attitudes among mental health professionals in Australia and New Zealand during the initial stages of the COVID-19 pandemic. Methods: Participants completed a brief online survey between May and July 2020. Participants were recruited via peak and professional organisations and through psychology-focused social media groups and networks. The survey examined frequency of telehealth use, reasons for non-use, telehealth modalities, prior use, attitudes towards use, plans for future use, and training, information or resource needs. Results: A total of 528 professionals (85.2% female) participated in the survey, of which 98.9% reported using telehealth and 32.2% reported using telehealth exclusively. Respondents were less likely to use telehealth if they worked with clients experiencing complex issues (e.g. trauma), had more hours of weekly client contact, had a choice about whether to use telehealth or felt less positive about using technology. Respondents were more likely to hold positive views towards telehealth if they were female, had used online programmes with clients previously, were frequent telehealth users and were comfortable using technology. Participants expressed mixed views on client safety and the impact of telehealth on therapeutic process and effectiveness. Conclusion: Telehealth has a clear and ongoing role within mental healthcare and there is a need for strong guidance for professionals on how to manage client risk, privacy, security and adapt therapy for delivery via telehealth. In particular, there is a need for individual-, organisational-, professional- and policy-level responses to ensure that telehealth remains a viable and effective healthcare medium into the future. [ABSTRACT FROM AUTHOR]

Objectives: Young people attending university for the first time may be at heightened risk of experiencing mental health problems. However, limited research has examined the mental health experiences of this cohort using longitudinal methods. This study aimed to examine mental health symptoms prior to commencing university, estimate changes in symptoms over the course of the first semester of study, and identify factors associated with initial symptom levels and changes. Methods: Australian first-year undergraduate students (N = 340) were recruited via social media and participated in a four-wave online longitudinal study conducted between February and June 2021. Symptoms of depression, anxiety, and psychological distress were assessed at each wave, along with psychosocial and lifestyle factors. Demographic characteristics were assessed at baseline. Results: Latent growth curve models indicated no significant linear change over time for depression (p = .26) or anxiety (p = .83) symptoms. However, a significant effect of time was observed for psychological distress (p = .03), indicating higher distress levels at wave 3 compared to baseline (p = .004). Financial stress, pressure to succeed, difficulty coping, greater loneliness, and more negative social interactions were each significantly associated with higher baseline depression, anxiety, and distress scores. Only greater loneliness and more negative social interactions were found to be associated with a greater increase in depression over time. Conclusion: The findings indicate that transition to university was not generally associated with an increase in poor mental health. However, several factors were associated with poorer mental health immediately prior to university commencement. Assisting students to manage financial distress, facilitating the development of social connections among students with limited social networks and skills training targeting coping and the development of realistic academic expectations may help support student mental health and promote improved wellbeing during transition to university. [ABSTRACT FROM AUTHOR]

Objective: The present study examined behavioral responses during the coronavirus disease 2019 (COVID-19) pandemic and the role of dispositional risk tolerance in the Australian context. Method: The study involved a six-wave longitudinal investigation with a nationally representative sample of Australians (N = 1,296). Dispositional risk tolerance was measured at Wave 1 and participants' anxiety level and self-report implementation of 10 COVID actions was assessed in each wave. Autoregressive multinomial regression models were estimated to assess the unique contribution of risk tolerance to the longitudinal change of participants' implementation of COVID actions. Results: The results revealed a high implementation rate for protective actions when Australia had a peak in the severity of the COVID-19 pandemic and subsequently declined with the easing threat of the pandemic. Individuals' dispositional risk tolerance significantly predicted transition to, and endorsement of, protective actions. Participants who had low risk tolerance were more likely to remain at the state of implementing COVID-19 measures than being in, or transitioning to, other states. Conclusions: The findings suggest that when encouraging protective actions, governments and public authorities should acknowledge variability in the community in responding to risk and consider measures in addition to risk messaging to encourage protective actions among individuals with a high level of risk tolerance. [ABSTRACT FROM AUTHOR]