Jmir Mental Health最新文献

Background: Prompts offer a promising strategy to promote client engagement in internet-delivered cognitive behavioral therapy (ICBT). However, if the prompts do not meet the needs of clients, they can potentially be more obtrusive rather than helpful.

Objective: The aim of this study was to test if prompts tailored based on timing and frequency, aligned with preintervention goal setting, can increase usage and the efficacy of a therapist-supported ICBT stress recovery intervention for health care workers.

Methods: The 2-arm randomized controlled trial included 87 health care workers (99% female, aged 19-68 years: mean 39.61, SD 11.49): 43 in the standard intervention group and 44 in the tailored prompts group. The primary outcome measure was the Recovery Experiences Questionnaire, and the secondary outcomes were the Perceived Stress Scale-4, the Patient Health Questionnaire-4, and the World Health Organization-5 Well-Being Index. The self-report data were collected before the intervention (September 2022), postintervention (October 2022), and 6-month follow-up (May 2023).

Results: The results showed that tailored prompts, although appreciated by the majority (39/40, 98%), did not improve intervention usage indicators, such as the number of logins (t₈₅=-0.91; P=.36), modules opened (t_83.57=-1.47; P=.15), modules completed (t₈₅=-0.71; P=.48), exercises completed (t₈₅=-1.05; P=.30), or the time spent using the program (χ²₂=1.1; P=.57). Similarly, tailored prompts did not increase the effects of the intervention in terms of stress recovery skills (Cohen d ranging from 0.31 to 0.85), perceived stress (d=-0.08; -0.70), depression (d=-0.11; -0.38), anxiety (d=-0.32; -0.64), or psychological well-being (d=0.26; 0.46). In addition, the standard intervention group showed greater long-term stress recovery effects than the group using the internet-delivered intervention supplemented by tailored prompts (β=-0.24, P=.03).

Conclusions: Although the study confirmed the efficacy of the program, the merits of tailored prompts in ICBT for stress recovery were not supported. Future research is needed to test the effects of the stress recovery intervention supplemented by goal setting and tailored prompts.

Trial registration: ClinicalTrials.gov NCT05553210; https://clinicaltrials.gov/study/NCT05553210.

Background: There is potential for digital mental health interventions to provide affordable, efficient, and scalable support to individuals. Digital interventions, including cognitive behavioral therapy, stress management, and mindfulness programs, have shown promise when applied in workplace settings.

Objective: The aim of this study is to conduct an umbrella review of systematic reviews in order to critically evaluate, synthesize, and summarize evidence of various digital mental health interventions available within a workplace setting.

Methods: A systematic search was conducted to identify systematic reviews relating to digital interventions for the workplace, using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis). The review protocol was registered in the Open Science Framework. The following databases were searched: PubMed, Web of Science, MEDLINE, PsycINFO, and Cochrane Library. Data were extracted using a predefined extraction table. To assess the methodological quality of a study, the AMSTAR-2 tool was used to critically appraise systematic reviews of health care interventions.

Results: The literature search resulted in 11,875 records, which was reduced to 14 full-text systematic literature reviews with the use of Covidence to remove duplicates and screen titles and abstracts. The 14 included reviews were published between 2014 and 2023, comprising 9 systematic reviews and 5 systematic reviews and meta-analyses. AMSTAR-2 was used to complete a quality assessment of the reviews, and the results were critically low for 7 literature reviews and low for the other 7 literature reviews. The most common types of digital intervention studied were cognitive behavioral therapy, mindfulness/meditation, and stress management followed by other self-help interventions. Effectiveness of digital interventions was found for many mental health symptoms and conditions in employee populations, such as stress, anxiety, depression, burnout, and psychological well-being. Factors such as type of technology, guidance, recruitment, tailoring, and demographics were found to impact effectiveness.

Conclusions: This umbrella review aimed to critically evaluate, synthesize, and summarize evidence of various digital mental health interventions available within a workplace setting. Despite the low quality of the reviews, best practice guidelines can be derived from factors that impact the effectiveness of digital interventions in the workplace.

Trial registration: OSF Registries osf.io/rc6ds; https://doi.org/10.17605/OSF.IO/RC6DS.

Background: Previous studies have found that psychotic disorders are among the most stigmatized mental disorders. Of note, virtual reality (VR) interventions have been associated with improvements in attitudes and empathy and reduced stigma toward individuals with psychotic disorders, especially among undergraduates, but this has not been examined among mental health care professionals.

Objective: We aimed to evaluate the effectiveness of a newly developed VR intervention for mental health care professionals to improve attitudes and empathy and reduce stigma toward people with psychotic disorders.

Methods: We conducted a randomized controlled trial and recruited eligible mental health care professionals from a tertiary mental health care institution. Both arms (VR intervention and VR control groups) were evaluated at baseline, postintervention, and 1-month follow up. The evaluation included outcomes related to attitudes (modified attitudes toward people with schizophrenia scale), stigma (social distance scale, personal stigma scale), and empathy (empathetic concern subscale of the Interpersonal Reactivity Index). The experience with the VR intervention was assessed using a user satisfaction questionnaire, and qualitative feedback was gathered.

Results: Overall, 180 mental health care professionals participated and completed the study. Both groups showed improvements in attitude, social distance, and stigma scores but not the empathy score following the intervention. The VR intervention group had better user satisfaction than the VR control group. In addition, certain outcome measures were positively associated with specific factors including female gender, higher education level, certain job roles, years of work, and presence of loved ones with a mental disorder.

Conclusions: Both the intervention and control VR groups of mental health care professionals showed improvements in attitudes, stigma, and social distance toward people with psychotic disorders. Future longitudinal studies may want to evaluate the impact of VR on caregivers and the public on these same and other outcome measures to reduce stigma and improve empathy toward individuals with psychotic disorders.

Trial registration: clinicaltrials.gov NCT05982548; https://clinicaltrials.gov/study/NCT05982548.

Background: Although suicide bereavement is highly distressing and is associated with an increased risk of suicidal behaviors and mental and physical health impairments, those bereaved by suicide encounter difficulties accessing support. Digital resources offer new forms of support for bereaved people. However, digital resources dedicated to those bereaved by suicide are still limited.

Objective: This paper aimed to develop and implement an evidence-based, innovative, and adaptive online resource for people bereaved by suicide, based on their needs and expectations.

Methods: We performed a mixed methods, participatory, user-centered study seeking to build resources from the perspectives of people bereaved by suicide and professionals or volunteers working in the field of postvention. We used the Information System Research framework, which uses a three-stage research cycle, including (1) the relevance cycle, (2) the design cycle, and (3) the rigor cycle, and the Design Science Research framework.

Results: A total of 478 people participated in the study, including 451 people bereaved by suicide, 8 members of charities, and 19 mental health professionals working in the field of postvention. The development stage of the resource lasted 18 months, from October 2021 to March 2023. A total of 9 focus groups, 1 online survey, 30 usability tests, and 30 semistructured interviews were performed. A website for people bereaved by suicide named "espoir-suicide" was developed that includes (1) evidence-based information on suicide prevention and bereavement, (2) testimonies of people bereaved by suicide, (3) a delayed chat to ask questions on suicide and bereavement to a specialized team of mental health professionals, and (4) an interactive nationwide resource directory. The mean system usability score was 90.3 out of 100 for 30 participants, with 93% (n=28) of them having a rating above 80. Since the implementation of espoir-suicide in March 2023, a total of 19,400 connections have been recorded, 117 local resources have been registered nationwide, and 73 questions have been posted in the chat.

Conclusions: The use of a mixed methods, participatory, user-centered design allowed us to implement an evidence-based, innovative, and functional website for people bereaved by suicide that was highly relevant for fulfilling the needs and expectations of French people bereaved by suicide.

International registered report identifier (irrid): RR2-10.3389/fpsyt.2021.770154.

Background: Digital mental health interventions (DMHIs) to monitor and improve the health of people with psychosis or bipolar disorder show promise; however, user engagement is variable, and integrated clinical use is low.

Objective: This prospectively registered systematic review examined barriers and facilitators of clinician and patient engagement with DMHIs, to inform implementation within real-world settings.

Methods: A systematic search of 7 databases identified empirical studies reporting qualitative or quantitative data about factors affecting staff or patient engagement with DMHIs aiming to monitor or improve the mental or physical health of people with psychosis or bipolar disorder. The Consolidated Framework for Implementation Research was used to synthesize data on barriers and facilitators, following a best-fit framework synthesis approach.

Results: The review included 175 papers (150 studies; 11,446 participants) describing randomized controlled trials; surveys; qualitative interviews; and usability, cohort, and case studies. Samples included people with schizophrenia spectrum psychosis (98/150, 65.3% of studies), bipolar disorder (62/150, 41.3% of studies), and clinicians (26/150, 17.3% of studies). Key facilitators were a strong recognition of DMHIs' relative advantages, a clear link between intervention focus and specific patient needs, a simple, low-effort digital interface, human-supported delivery, and device provision where needed. Although staff thought patients would lose, damage, or sell devices, reviewed studies found only 11% device loss. Barriers included intervention complexity, perceived risks, user motivation, discomfort with self-reflection, digital poverty, symptoms of psychosis, poor compatibility with existing clinical workflows, staff and patient fears that DMHIs would replace traditional face-to-face care, infrastructure limitations, and limited financial support for delivery.

Conclusions: Identified barriers and facilitators highlight key considerations for DMHI development and implementation. As to broader implications, sustainable business models are needed to ensure that evidence-based DMHIs are maintained and deployed.

Trial registration: PROSPERO CRD42021282871; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=282871.

Unlabelled: Generative artificial intelligence (GenAI) shows potential for personalized care, psychoeducation, and even crisis prediction in mental health, yet responsible use requires ethical consideration and deliberation and perhaps even governance. This is the first published theme issue focused on responsible GenAI in mental health. It brings together evidence and insights on GenAI's capabilities, such as emotion recognition, therapy-session summarization, and risk assessment, while highlighting the sensitive nature of mental health data and the need for rigorous validation. Contributors discuss how bias, alignment with human values, transparency, and empathy must be carefully addressed to ensure ethically grounded, artificial intelligence-assisted care. By proposing conceptual frameworks; best practices; and regulatory approaches, including ethics of care and the preservation of socially important humanistic elements, this theme issue underscores that GenAI can complement, rather than replace, the vital role of human empathy in clinical settings. To achieve this, an ongoing collaboration between researchers, clinicians, policy makers, and technologists is essential.

Background: The use of natural language processing (NLP) in mental health research is increasing, with a wide range of applications and datasets being investigated.

Objective: This review aims to summarize the use of NLP in mental health research, with a special focus on the types of text datasets and the use of social determinants of health (SDOH) in NLP projects related to mental health.

Methods: The search was conducted in September 2024 using a broad search strategy in PubMed, Scopus, and CINAHL Complete. All citations were uploaded to Covidence (Veritas Health Innovation) software. The screening and extraction process took place in Covidence with the help of a custom large language model (LLM) module developed by our team. This LLM module was calibrated and tuned to automate many aspects of the review process.

Results: The screening process, assisted by the custom LLM, led to the inclusion of 1768 studies in the final review. Most of the reviewed studies (n=665, 42.8%) used clinical data as their primary text dataset, followed by social media datasets (n=523, 33.7%). The United States contributed the highest number of studies (n=568, 36.6%), with depression (n=438, 28.2%) and suicide (n=240, 15.5%) being the most frequently investigated mental health issues. Traditional demographic variables, such as age (n=877, 56.5%) and gender (n=760, 49%), were commonly extracted, while SDOH factors were less frequently reported, with urban or rural status being the most used (n=19, 1.2%). Over half of the citations (n=826, 53.2%) did not provide clear information on dataset accessibility, although a sizable number of studies (n=304, 19.6%) made their datasets publicly available.

Conclusions: This scoping review underscores the significant role of clinical notes and social media in NLP-based mental health research. Despite the clear relevance of SDOH to mental health, their underutilization presents a gap in current research. This review can be a starting point for researchers looking for an overview of mental health projects using text data. Shared datasets could be used to place more emphasis on SDOH in future studies.