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U.S. health care systems are tasked with alleviating the burden of mental health, but are frequently underprepared and lack workforce and resource capacity to deliver services to all in need. Digital mental health interventions (DMHIs) can increase access to evidence-based mental health care. However, DMHIs commonly do not fit into the day-to-day activities of the people who engage with them, resulting in a research-to-practice gap for DMHI implementation. For health care settings, differences between digital and traditional mental health services make alignment and integration challenging. Specialized attention is needed to improve the implementation of DMHIs in health care settings so that these services yield high uptake, engagement, and sustainment. The purpose of this article is to enhance efforts to integrate DMHIs in health care settings by proposing implementation strategies, selected and operationalized based on the discrete strategies established in the Expert Recommendations for Implementing Change project, that align to DMHI-specific barriers in these settings. Guidance is offered in how these strategies can be applied to DMHI implementation across four phases commonly distinguished in implementation science using the Exploration, Preparation, Implementation, Sustainment Framework. Next steps to advance research in this area and improve the research-to-practice gap for implementing DMHIs are recommended. Applying implementation strategies to DMHI implementation will enable psychologists to systematically evaluate this process, which can yield an enhanced understanding of the factors that facilitate implementation success and improve the translation of DMHIs from controlled trials to real-world settings. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Since the emergence of psychological interventions delivered via the Internet they have differed in numerous ways. The wealth of formats, methods, and technological solutions has led to increased availability and cost-effectiveness of clinical care, however, it has simultaneously generated a multitude of terms. With this paper, we first aim to establish whether a terminology issue exists in the field of Internet-delivered psychological interventions. If so, we aim to determine its implications for research, education, and practice. Furthermore, we intend to discuss solutions to mitigate the problem; in particular, we propose the concept of a common glossary. We invited 23 experts in the field of Internet-delivered interventions to respond to four questions, and employed the Delphi method to facilitate a discussion. We found that experts overwhelmingly agreed that there were terminological challenges, and that it had significant consequences for conducting research, treating patients, educating students, and informing the general public about Internet-delivered interventions. A cautious agreement has been reached that formulating a common glossary would be beneficial for the field to address the terminology issue. We end with recommendations for the possible formats of the glossary and means to disseminate it in a way that maximizes the probability of broad acceptance for a variety of stakeholders.

While the HCI field increasingly examines how digital tools can support individuals in managing mental health conditions, it remains unclear how these tools can accommodate these conditions' temporal aspects. Based on weekly interviews with five individuals with depression, conducted over six weeks, this study identifies design opportunities and challenges related to extending technology-based support across fluctuating symptoms. Our findings suggest that participants perceive events and contexts in daily life to have marked impact on their symptoms. Results also illustrate that ebbs and flows in symptoms profoundly affect how individuals practice depression self-management. While digital tools often aim to reach individuals while they feel depressed, we suggest they should also engage individuals when they are less symptomatic, leveraging their energy and motivation to build habits, establish plans and goals, and generate and organize content to prepare for symptom onset.

This trial examined whether a stepped care program for depression, which initiated treatment with internet cognitive behavioral therapy, including telephone and messaging support, and stepped up non-responders to telephone-administered cognitive behavioral therapy (tCBT), was noninferior, less costly to deliver, and as acceptable to patients compared to tCBT alone. Adults with a diagnosis of major depressive episode (MDE) were randomized to receive up to 20 weeks of stepped care or tCBT. Stepped care (n = 134) was noninferior to tCBT (n = 136) with an end-of-treatment effect size of d = 0.03 and a 6-month post-treatment effect size of d = -0.07 [90% CI 0.29 to 0.14]. Therapist time in stepped care was 5.26 (SD = 3.08) hours versus 10.16 (SD 4.01) for tCBT (p

Internet-connected devices could transform our understanding of the causes of behavioural variation and its impact on health and disease, in particular for neuropsychiatric disorders.

ABSTRACT Aim Design Methods Results Conclusion Patient or Public Contribution Impact Reporting Method To examine nurse workplace bullying relative to diverse sexual orientation and gender identity groups.Observational cross‐sectional study.Using an annual organisational satisfaction survey from 2022, we identified free‐text comments provided by nurses (N = 25,337). We identified and themed comments for specific bullying content among unique respondents (n = 1432). We also examined close‐ended questions that captured organisational constructs, such as job satisfaction and burnout. We looked at differences by comparing diverse sexual orientation and gender identity groups to the majority using both qualitative and quantitative data.For the free‐text comments, themed categories reflected the type of bullying, the perpetrator and perceived impact. Disrespect was the most frequent theme with supervisors being the primary perpetrator. The reported bullying themes and workplace perceptions differed between nurses in the diverse gender identity and sexual orientation group compared to other groups. Nurses who reported bullying also reported higher turnover intent, burnout, lower workplace civility, more dissatisfaction and lower self‐authenticity.Diverse sexual orientation and gender identity groups are understudied in the nurse bullying research, likely because of sensitivities around identification. Our design enabled anonymous assessment of these groups. We suggest practices to help alleviate and mitigate the prevalence of bullying in nursing.No Patient or Public Contribution. We examined differences in perceptions of nurse bullying between diverse sexual orientation and gender identity groups compared to majority groups. Group differences were found both for thematic qualitative content and workplace experience ratings with members of minority groups reporting less favourable workplace experiences. Nurse leaders and staff can benefit from learning about best practices to eliminate bullying among this population. STROBE guidelines for cross‐sectional observational studies. [ABSTRACT FROM AUTHOR]

The world of smart prisons is gaining momentum despite receiving limited attention due to the ability to maintain social order and reduce crime rates. Therefore, this research aims to synthesize the current knowledge of smart prisons, identify barriers to trend technologies, and provide valuable insights for practitioners, and policymakers. The systematic literature review (SLR) method by Kitchenham was used to collect data from Scopus from 2007 to 2023, which comprised 59 articles in the final phase. The high cost of smart technology, ineffective technology design, poor management, aging facilities, increased violence, ethical concerns, and lots more, were some of the barriers associated with the topic. The study highlights the need for targeted strategies, such as cost‐benefit analyses, phased implementation, and comprehensive staff training, to overcome these barriers. The study also reveals varied approaches to smart prison adoption across countries, influenced by differences in economic resources and policy frameworks. The study emphasizes the importance of continuous evaluation, international collaboration, and adherence to ethical standards to sustain smart prison development. The result showed that smart prisons are important in the field of corrections. [ABSTRACT FROM AUTHOR]

Ecological momentary assessment (EMA) is a methodological approach to studying intraindividual variation over time. This study aimed to use EMA to determine the variability of cognition in individuals with chronic stroke, identify the latent classes of cognitive variability, and examine any differences in daily activities, social functioning, and neuropsychological performance between these latent classes. Participants (N = 202) with mild-to-moderate stroke and over 3-month post-stroke completed a study protocol, including smartphone-based EMA and two lab visits. Participants responded to five EMA surveys daily for 14 days to assess cognition. They completed patient-reported measures and neuropsychological assessments during lab visits. Using latent class analysis, we derived four indicators to quantify cognitive variability and identified latent classes among participants. We used ANOVA and Chi-square to test differences between these latent classes in daily activities, social functioning, and neuropsychological performance. The latent class analysis converged on a three-class model. The moderate and high variability classes demonstrated significantly greater problems in daily activities and social functioning than the low class. They had significantly higher proportions of participants with problems in daily activities and social functioning than the low class. Neuropsychological performance was not statistically different between the three classes, although a trend approaching statistically significant difference was observed in working memory and executive function domains. EMA could capture intraindividual cognitive variability in stroke survivors. It offers a new approach to understanding the impact and mechanism of post-stroke cognitive problems in daily life and identifying individuals benefiting from self-regulation interventions. [ABSTRACT FROM AUTHOR]