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Objective: Clinicians' perceptions of CBT-I Coach, a patient-facing mobile app for cognitive-behavioral therapy for insomnia (CBT-I), are critical to its adoption and integration into practice. Diffusion of innovations theory emphasizes the influence of perceptions, including the relative advantage to current practice, the compatibility to clinicians' needs, the complexity, the innovation's trialability, and observability. This study intended to evaluate the use and perceptions of CBT-I Coach among Veterans Affairs (VA)-trained CBT-I clinicians. Participants and Methods: Clinicians (N = 108) were surveyed about their use, feedback, and perceptions of CBT-I Coach a year after the app became available. Results: Overall perceptions of CBT-I Coach were favorable. Fifty percent of clinicians reported using CBT-I Coach, with 98% intending to continue use. The app was perceived to increase sleep diary completion and homework compliance. Clinicians viewed the app as providing accessibility to helpful tools and improving patient engagement. Of those not using the app, 83% endorsed intention to use it. Reasons for nonuse were lack of patient access to smart phones, not being aware of the app, not having time to learn it, and inability to directly access app data. Those who reported using CBT-I Coach had more favorable perceptions across all constructs (p <.01 – p <.001), except relative advantage, compared to nonusers. Users perceived it as less complex and more compatible with their practice than nonusers. Conclusions: Continued efforts are needed to increase adoption and enhance use of CBT-I Coach, as well as study if reported benefits can be evidenced more directly. [ABSTRACT FROM AUTHOR]

Many well-designed studies have shown psychosocial treatments for cancer to be efficacious for improving patients' quality of life, but the actual impact of these treatments may be limited by low rates of participation. Web-based treatment formats could improve effectiveness by increasing availability and accessibility. Two phases of a feasibility study are reported in this article. In the first phase, we sought to assess internet access and perceived interest in online support among 136 women with breast cancer (June–October, 1999). Levels of interest in participating in an online psychosocial treatment were associated with age, outcome expectancy, and barriers to using the internet but not stage or time since diagnosis. In the second phase, we document accrual rates among several methods of recruitment during a randomized trial (February–December, 2001) and report changes over time in internet access. Recruitment rates were substantially higher when a study representative was available in clinic to provide information about the treatment than for all other methods of recruitment. Access to the internet increased between 1999 (63%) and 2001 (70%) and varied across age groups. These results suggest that internet-based psychosocial treatments, with notable limitations, are feasible for increasing the impact of psychosocial care. Copyright © 2003 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Objective: Mindfulness training can relieve posttraumatic stress disorder (PTSD) symptoms in military veterans and others but is inconsistently accessible. Self-guided mobile apps could improve access but their acceptability, feasibility, and benefits for veterans with PTSD have not been established. We conducted a pilot randomized trial of Mindfulness Coach (MC), a free, publicly available, trauma-informed mobile app tailored to veterans., Method: U.S. veterans with PTSD ( n = 173) were randomized to self-guided use of MC or waitlist control (WLC) with 8-week follow-up. Clinical outcomes were PTSD symptoms (PTSD Symptom Checklist-5), depression symptoms (Patient Health Questionnaire, nine item), and psychosocial functioning (Brief Inventory of Psychosocial Functioning). Primary analyses were intent-to-treat using linear mixed models with maximum likelihood estimation. App uptake, objective usage, and usability ratings measured acceptance and feasibility., Results: Participants varied in age, gender, and ethnoracial identity; most reported recent mental health care utilization. Although study attrition was high (68.4% overall) due to participant dropout (treatment: 43.0%; control: 43.7%) and technical study issues (23% overall), diagnostic tests showed no evidence of bias due to missingness. Study completers (MC: n = 19; WLC: n = 37) showed medium effects on PTSD symptoms ( b = -9.31, d = -0.69) and depression ( b = -3.10, d = -0.52). Higher-intensity users showed greater benefits. App engagement trended lower for women and minoritized subpopulations. No changes were observed in psychosocial functioning. Usability and helpfulness ratings were favorable., Conclusions: Transdiagnostic clinical benefits indicate promise for MC as a public health resource for veterans with PTSD. Further study is warranted to confirm these benefits and ensure consistent engagement across subpopulations. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

U.S. veterans have historically experienced more mental health concerns as compared to the general population, yet face a variety of barriers to accessing care. Evidence-based and accessible resources, such as mobile apps, are needed to respond to the unique needs of a diverse veteran population. The U.S. Department of Veterans Affairs (VA's) National Center for Posttraumatic Stress Disorder has created a one-of-a-kind portfolio of mental health apps to target the needs of veterans and support the self-management of common concerns related to posttraumatic stress disorder. Using data from a nationally representative sample of U.S. veterans, the present study sought to examine how veterans perceived the importance of making each self-management app available to other Veterans; factors impacting veterans' intent to try each app; and actual uptake of each app. Results revealed that while 46.7%-75.0% of veterans reported that the apps are important for veterans, 5.8%-19.2% reported that they would be likely to download the apps, and only 5.0% reported having ever used any of them. Veterans who used any of the apps were more likely to be employed, have served two or more deployments, be married or partnered, use the VA as their primary source of health care, had more medical conditions, and were less likely to identify as Black. With respect to future app use, Black veterans were to 2-5 times more likely than White veterans to indicate a desire to download each of the apps. Other variables that showed consistent associations with increased likelihood of app download included greater smartphone utilization, being married or having a partner, lower household income, and history of mental health treatment. Implications of these results for the broader dissemination of mental health apps and promotion of their uptake are discussed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Background: Although the COVID-19 pandemic has not led to a uniform increase of mental health concerns among older adults, there is evidence to suggest that some older veterans did experience an exacerbation of preexisting mental health conditions, and that mental health difficulties were associated with a lack of social support and increasing numbers of pandemic-related stressors. Mobile mental health apps are scalable, may be a helpful resource for managing stress during the pandemic and beyond, and could potentially provide services that are not accessible due to the pandemic. However, overall comfort with mobile devices and factors influencing the uptake and usage of mobile apps during the pandemic among older veterans are not well known. COVID Coach is a free, evidence-informed mobile app designed for pandemic-related stress. Public usage data have been evaluated; however, the uptake and usage of the app among older veterans have not been explored., Objective: The purpose of this study was to characterize smartphone ownership rates among US veterans, identify veteran characteristics associated with downloading and use of COVID Coach, and characterize key content usage within the app., Methods: Data were analyzed from the 2019-2020 National Health and Resilience in Veterans Study (NHRVS), which surveyed a nationally representative, prospective cohort of 3078 US military veterans before and 1 year into the pandemic. The NHRVS sample was drawn from KnowledgePanel, a research panel of more than 50,000 households maintained by Ipsos, Inc. The median time to complete the survey was nearly 32 minutes. The research version of COVID Coach was offered to all veterans who completed the peripandemic follow-up assessment on a mobile device (n=814; weighted 34.2% of total sample). App usage data from all respondents who downloaded the app (n=34; weighted 3.3% of the mobile completers sample) were collected between November 14, 2020, and November 7, 2021., Results: We found that most US veterans (81.5%) own smartphones, and that veterans with higher education, greater number of adverse childhood experiences, higher extraversion, and greater severity of pandemic-related posttraumatic stress disorder symptoms were more likely to download COVID Coach. Although uptake and usage of COVID Coach were relatively low (3.3% of eligible participants, n=34), 50% of the participants returned to the app for more than 1 day of use. The interactive tools for managing stress were used most frequently., Conclusions: The COVID-19 pandemic has increased the need for and creation of digital mental health tools. However, these resources may require tailoring for older veteran populations. Future research is needed to better understand how to optimize digital mental health tools such as apps to ensure uptake and usage among older adults, particularly those who have experienced traumas across the lifespan., (©Beth K Jaworski, Katherine Taylor, Kelly M Ramsey, Adrienne J Heinz, Sarah Steinmetz, Jason E Owen, Jack Tsai, Robert H Pietrzak. Originally published in JMIR Mental Health (https://mental.jmir.org), 05.04.2022.)

Expression of emotion has been linked to numerous critical and beneficial aspects of human functioning. Accurately capturing emotional expression in text grows in relevance as people continue to spend more time in an online environment. The Linguistic Inquiry and Word Count (LIWC) is a commonly used program for the identification of many constructs, including emotional expression. In an earlier study (Bantum & Owen, 2009) LIWC was demonstrated to have good sensitivity yet poor positive predictive value. The goal of the current study was to create an automated machine learning technique to mimic manual coding. The sample included online support groups, cancer discussion boards, and transcripts from an expressive writing study, which resulted in 39,367 sentence-level coding decisions. In examining the entire sample the machine learning approach outperformed LIWC, in all categories outside of Sensitivity for negative emotion (LIWC Sensitivity = .85; Machine Learning Sensitivity = .41), although LIWC does not take into consideration prosocial emotion, such as affection, interest, and validation. LIWC performed significantly better than the machine learning approach when removing the prosocial emotions ( p = <.0001). The sample over-represented examples of emotion that fit into the overarching category of positive emotion. Remaining work is needed to create more effective machine learning features for codes that are thought to be important emotionally but were not well represented in the sample (e.g., frustration, contempt, and belligerence), and Machine Learning could be a fruitful method for continued exploration.

Objective: Posttraumatic stress disorder (PTSD) is a major public health concern. Although effective treatments exist, affected individuals face many barriers to receiving traditional care. Smartphones are carried by nearly 2 thirds of the U.S. population, offering a promising new option to overcome many of these barriers by delivering self-help interventions through applications (apps). As there is limited research on apps for trauma survivors with PTSD symptoms, we conducted a pilot feasibility, acceptability, and potential efficacy trial of PTSD Coach, a self-management smartphone app for PTSD., Method: A community sample of trauma survivors with PTSD symptoms (N = 49) were randomized to 1 month using PTSD Coach or a waitlist condition. Self-report assessments were completed at baseline, postcondition, and 1-month follow-up. Following the postcondition assessment, waitlist participants were crossed-over to receive PTSD Coach., Results: Participants reported using the app several times per week, throughout the day across multiple contexts, and endorsed few barriers to use. Participants also reported that PTSD Coach components were moderately helpful and that they had learned tools and skills from the app to manage their symptoms. Between conditions effect size estimates were modest (d = -0.25 to -0.33) for PTSD symptom improvement, but not statistically significant., Conclusions: Findings suggest that PTSD Coach is a feasible and acceptable intervention. Findings regarding efficacy are less clear as the study suffered from low statistical power; however, effect size estimates, patterns of within group findings, and secondary analyses suggest that further development and research on PTSD Coach is warranted. (PsycINFO Database Record, ((c) 2016 APA, all rights reserved).)