Evaluating Feasibility, Value and Characteristics of an Intergenerational Friendly Telephone Visit Program During the Covid-19 Pandemic.

OBJECTIVE: Volunteer organizations offer telephone outreach to older adults to relieve feelings of loneliness and to promote emotional well-being, though the feasibility, perceived value, and characteristics of the participant experience of these community interventions have not been well-studied. We examined these elements of an intergenerational college-based telephone call program during the Covid-19 pandemic. METHODS: Community-dwelling older adults and undergraduate volunteers engaged in eight, weekly, 30-minute, unscripted telephone conversations. Feasibility criteria included enrollment, retention, and attendance rates. A rapid qualitative analysis of program evaluation responses was used to extract themes related to participants' experiences of the intervention. RESULTS: Ten older adults (mean age [range] 74.53 [70-84] years, 88% women) and nine undergraduates were enrolled from February to August 2021, achieving recruitment targets and enrollment rates of 76.9% and 90%. Seven out of the 10 enrolled dyads completed the full series of eight telephone conversations and qualitative assessments over an average of 10.5 weeks. Most older adults who completed the call schedule valued the conversations as a source of social connection, noting the mutuality, respect, and broadened perspective that characterized their intergenerational relationships. Undergraduates described value in giving to others and in conversations that stimulated personal reflection and feelings of closeness. Undergraduates frequently described their experience as novel and broadening of their perspectives. CONCLUSION: Though study completion rate and participant experience varied across dyads, we found qualitative evidence of perceived value, active relationship-building and broadened perspectives among many older adults and undergraduates who completed an intergenerational telephone program.

Digital Mental Health Interventions for Depression: Scoping Review of User Engagement.

BACKGROUND: While many digital mental health interventions (DMHIs) have been found to be efficacious, patient engagement with DMHIs has increasingly emerged as a concern for implementation in real-world clinical settings. To address engagement, we must first understand what standard engagement levels are in the context of randomized controlled trials (RCTs) and how these compare with other treatments. OBJECTIVE: This scoping review aims to examine the state of reporting on intervention engagement in RCTs of mobile app-based interventions intended to treat symptoms of depression. We sought to identify what engagement metrics are and are not routinely reported as well as what the metrics that are reported reflect about standard engagement levels. METHODS: We conducted a systematic search of 7 databases to identify studies meeting our eligibility criteria, namely, RCTs that evaluated use of a mobile app-based intervention in adults, for which depressive symptoms were a primary outcome of interest. We then extracted 2 kinds of information from each article: intervention details and indices of DMHI engagement. A 5-element framework of minimum necessary DMHI engagement reporting was derived by our team and guided our data extraction. This framework included (1) recommended app use as communicated to participants at enrollment and, when reported, app adherence criteria; (2) rate of intervention uptake among those assigned to the intervention; (3) level of app use metrics reported, specifically number of uses and time spent using the app; (4) duration of app use metrics (ie, weekly use patterns); and (5) number of intervention completers. RESULTS: Database searching yielded 2083 unique records. Of these, 22 studies were eligible for inclusion. Only 64% (14/22) of studies included in this review specified rate of intervention uptake. Level of use metrics was only reported in 59% (13/22) of the studies reviewed. Approximately one-quarter of the studies (5/22, 23%) reported duration of use metrics. Only half (11/22, 50%) of the studies reported the number of participants who completed the app-based components of the intervention as intended or other metrics related to completion. Findings in those studies reporting metrics related to intervention completion indicated that between 14.4% and 93.0% of participants randomized to a DMHI condition completed the intervention as intended or according to a specified adherence criteria. CONCLUSIONS: Findings suggest that engagement was underreported and widely varied. It was not uncommon to see completion rates at or below 50% (11/22) of those participants randomized to a treatment condition or to simply see completion rates not reported at all. This variability in reporting suggests a failure to establish sufficient reporting standards and limits the conclusions that can be drawn about level of engagement with DMHIs. Based on these findings, the 5-element framework applied in this review may be useful as a minimum necessary standard for DMHI engagement reporting.

Conducting clinical studies targeting cognition in psychiatry: guiding principles and design.

Cognitive dysfunction is common in many psychiatric disorders. While it has long been described as a core feature in schizophrenia, more recent data suggest qualitatively similar impairments in patients with bipolar disorder and major depressive disorder. There is compelling evidence to suggest that cognitive impairment contributes directly to functional disability and reduced quality of like across these disorders. As current treatments focus heavily on "primary" symptoms of mood and psychosis, the standard of care typically leaves cognitive deficits unmanaged. With this in mind, the field has recently begun to consider intervening directly on this important symptom domain, with several ongoing trials in schizophrenia. Fewer studies have targeted cognition in bipolar disorder and still fewer in MDD. With progress toward considering this domain as a target for treatment comes the need for consensus guidelines and methodological recommendations on cognitive trial design. In this manuscript, we first summarize the work conducted to date in this area for schizophrenia and for bipolar disorder. We then begin to address these same issues in MDD and emphasize the need for additional work in this area.

Practical application of opt-out recruitment methods in two health services research studies.

BACKGROUND: Participant recruitment is an ongoing challenge in health research. Recruitment may be especially difficult for studies of access to health care because, even among those who are in care, people using services least often also may be hardest to contact and recruit. Opt-out recruitment methods (in which potential participants are given the opportunity to decline further contact about the study (opt out) following an initial mailing, and are then contacted directly if they have not opted out within a specified period) can be used for such studies. However, there is a dearth of literature on the effort needed for effective opt-out recruitment. METHODS: In this paper we describe opt-out recruitment procedures for two studies on access to health care within the U.S. Department of Veterans Affairs. We report resource requirements for recruitment efforts (number of opt-out packets mailed and number of phone calls made). We also compare the characteristics of study participants to potential participants via t-tests, Fisher's exact tests, and chi-squared tests. RESULTS: Recruitment rates for our two studies were 12 and 21%, respectively. Across multiple study sites, we had to send between 4.3 and 9.2 opt-out packets to recruit one participant. The number of phone calls required to arrive at a final status for each potentially eligible Veteran (i.e. study participation or the termination of recruitment efforts) were 2.9 and 6.1 in the two studies, respectively. Study participants differed as expected from the population of potentially eligible Veterans based on planned oversampling of certain subpopulations. The final samples of participants did not differ statistically from those who were mailed opt-out packets, with one exception: in one of our two studies, participants had higher rates of mental health service use in the past year than did those mailed opt-out packets (64 vs. 47%). CONCLUSIONS: Our results emphasize the practicality of using opt-out methods for studies of access to health care. Despite the benefits of these methods, opt-out alone may be insufficient to eliminate non-response bias on key variables. Researchers will need to balance considerations of sample representativeness and feasibility when designing studies investigating access to care.

Understanding collaborative care implementation in the Department of Veterans Affairs: core functions and implementation challenges.

BACKGROUND: The collaborative care model is an evidence-based practice for treatment of depression in which designated care managers provide clinical services, often by telephone. However, the collaborative care model is infrequently adopted in the Department of Veterans Affairs (VA). Almost all VA medical centers have adopted a co-located or embedded approach to integrating mental health care for primary care patients. Some VA medical centers have also adopted a telephone-based collaborative care model where depression care managers support patient education, patient activation, and monitoring of adherence and progress over time. This study evaluated two research questions: (1) What does a dedicated care manager offer in addition to an embedded-only model? (2) What are the barriers to implementing a dedicated depression care manager? METHODS: This study involved 15 qualitative, multi-disciplinary, key informant interviews at two VA medical centers where reimbursement options were the same- both with embedded mental health staff, but one with a depression care manager. Participant interviews were recorded and transcribed. Thematic analysis was used to identify descriptive and analytical themes. RESULTS: Findings suggested that some of the core functions of depression care management are provided as part of embedded-only mental health care. However, formal structural attention to care management may improve the reliability of care management functions, in particular monitoring of progress over time. Barriers to optimal implementation were identified at both sites. Themes from the care management site included finding assertive care managers to hire, cross-discipline integration and collaboration, and primary care provider burden. Themes from interviews at the embedded site included difficulty getting care management on leaders' agendas amidst competing priorities and logistics (staffing and space). CONCLUSIONS: Providers and administrators see depression care management as a valuable healthcare service that improves patient care. Barriers to implementation may be addressed by team-building interventions to improve cross-discipline integration and communication. Findings from this study are limited in scope to the VA healthcare system. Future investigation of whether alternative barriers exist in implementation of depression care management programs in non-VA hospital systems, where reimbursement rates may be a more prominent concern, would be valuable.

Fat Reduction Efforts: A 24-Month Longitudinal Comparison of a Large Sample of Maintainers, Relapsers, and Non-Changers.

This research examined dynamic transtheoretical model (TTM) constructs for dietary fat reduction. This secondary data analysis pooled three large population-based TTM-tailored school, worksite, medical, and home-based intervention studies and examined use of constructs across three groups organized by longitudinal progress (dynatypes): Maintainers, Relapsers, and Stable Non-Changers. The criteria for successful change, at the time, were that less than 30% of calories came from fat. A total of 2,718 adults met criteria for an unhealthy diet at baseline. The majority of participants were female, White, married, and middle-aged. Demographics, Stage of Change, Processes of Change, Decisional Balance, and Temptations were measured. Dynatype groups were assessed with reliable and valid scales assessing constructs at baseline and 6, 12, and 24 months. Analyses included a multivariate analysis of variance followed by a series of analyses of variance, with Tukey follow-up tests assessing differences in use of TTM constructs across the three groups at each time point. Relapsers and Maintainers were similar in their use of all TTM Processes of Change at baseline, with the exception of Self-Liberation (η(2) = 0.15, p < .001) and Reinforcement Management (η(2) = 0.01, p < .001). Although Relapsers reverted to an unhealthy diet, their overall greater use of Processes of Change suggests that their behaviors and strategy use remain better than that of the Stable Non-Changer group. Results suggest that specific cognitive and behavioral constructs may contribute differentially to intervention outcomes.

Transtheoretical Principles and Processes for Adopting Physical Activity: A Longitudinal 24-Month Comparison of Maintainers, Relapsers, and Nonchangers.

This study examined longitudinal differences in use of transtheoretical model (TTM) behavior change constructs in maintainers (who reached and maintained exercise guidelines), relapsers (who reached guidelines, then regressed), and nonchangers (who did not reach guidelines). Data from two population-based TTM-tailored randomized trial intervention groups targeting exercise behavior (N = 1050) were pooled, and analyses assessed differences in TTM constructs between the three groups at baseline, 12 months, and 24 months. Findings indicated that relapsers tended to use TTM variables similarly to maintainers with the exception of self-efficacy, consciousness raising, and most behavioral processes of change, at 24 months. Nonchangers, however, used all TTM variables less than maintainers at nearly every time point. Findings suggest that relapsers remain more active than nonchangers in terms of use of change processes. Poor response to interventions (nonchangers) may be predicted by low baseline engagement in change processes. Although relapsers reverted to physical inactivity, their overall greater use of TTM constructs suggests that their efforts to change remain better than those of the stable nonchanger group. Future research can focus on treatment engagement strategies to help the stable nonchangers initiate change and to help relapsers to maintain treatment gains.

Perceived loneliness and social support in bipolar disorder: relation to suicidal ideation and attempts.

BACKGROUND: The suicide rate in bipolar disorder (BD) is among the highest across all psychiatric disorders. Identifying modifiable variables that relate to suicidal thoughts and behaviors (STBs) in BD may inform prevention strategies. Social connectedness is a modifiable variable found to relate to STBs in the general population, but differences exist across subgroups of the general population and findings specifically in BD have been equivocal. We aimed to clarify how perceived social connectedness relates to STBs in BD. METHOD: 146 adults (86 BD, 60 healthy controls) completed clinical interviews (Hamilton Depression Rating Scale; Structured Clinical Interview for DSM-5) and self-report measures of loneliness (UCLA Loneliness Scale) and social support (Interpersonal Support Evaluation List). Analyses explored differences in indicators of social connectedness (loneliness and social support) between BD participants and healthy controls, and explored relationships between STBs (lifetime suicide attempts and current suicidal ideation) and indicators of social connectedness in BD participants. RESULTS: BD participants reported significantly higher loneliness and lower social support than healthy controls. In BD participants, perceived social support was significantly related to both ever having attempted suicide and number of lifetime attempts. Interestingly, perceived loneliness, but not social support, was significantly associated with current suicidal ideation. CONCLUSIONS: Findings expand the evidence base supporting a relationship between perceived social connectedness and STBs in BD. They suggest that this modifiable variable could be a fruitful treatment target for preventing STBs in BD.

The engagement problem: A review of engagement with digital mental health interventions and recommendations for a path forward.

Purpose of the review: Digital mental health interventions (DMHIs) are an effective and accessible means of addressing the unprecedented levels of mental illness worldwide. Currently, however, patient engagement with DMHIs in real-world settings is often insufficient to see clinical benefit. In order to realize the potential of DMHIs, there is a need to better understand what drives patient engagement. Recent findings: We discuss takeaways from the existing literature related to patient engagement with DMHIs and highlight gaps to be addressed through further research. Findings suggest that engagement is influenced by patient-, intervention- and systems-level factors. At the patient-level, variables such as sex, education, personality traits, race, ethnicity, age and symptom severity appear to be associated with engagement. At the intervention-level, integrating human support, gamification, financial incentives and persuasive technology features may improve engagement. Finally, although systems-level factors have not been widely explored, the existing evidence suggests that achieving engagement will require addressing organizational and social barriers and drawing on the field of implementation science. Summary: Future research clarifying the patient-, intervention- and systems-level factors that drive engagement will be essential. Additionally, to facilitate improved understanding of DMHI engagement, we propose the following: (a) widespread adoption of a minimum necessary 5-element engagement reporting framework; (b) broader application of alternative clinical trial designs; and (c) directed efforts to build upon an initial parsimonious conceptual model of DMHI engagement.

Modafinil's effects on cognition and sleep quality in affectively-stable patients with bipolar disorder: a pilot study.

Introduction: Despite advances in the treatment of bipolar disorder (BD), most patients do not achieve complete inter-episode recovery and functional disability is common. During periods of relative remission, many patients continue to experience neurocognitive dysfunction, reduced daytime activity levels, and sleep disturbances. This 8-week, randomized, placebo-controlled pilot study evaluated the feasibility, safety and preliminary efficacy of the wake-promoting drug, modafinil (Provigil®), on neurocognitive functioning, daytime sleepiness, and sleep quality in affectively-stable BD patients. Methods: Twelve individuals with affectively-stable BD were recruited and randomized to a flexible dose of modafinil (100 to 200 mg/day) or placebo, adjunctive to a therapeutic dose of a mood stabilizer. Weekly in-person visits tracked sleep quality and daytime sleepiness as well as side effects and mood symptoms. Neurocognitive functioning was assessed at baseline, week 4, and week 8. Results: No serious adverse events were reported. Newly emergent side effects in the modafinil group included heart palpitations, itching, fatigue, and decreased energy. Two patients discontinued modafinil owing to side effects and one of these patients withdrew from the study. One patient discontinued placebo and was withdrawn from the study. Preliminary evaluations of clinical efficacy showed a marginally significant interaction between treatment group and time in two cognitive domains (speed of processing and verbal learning), indicating greater improvement in the modafinil group versus placebo. Additionally, there was a marginally significant effect of treatment group on daytime sleepiness, suggesting lower daytime sleepiness in the modafinil group versus placebo. Counterintuitively, we found a significant treatment group by time interaction effect on sleep quality, suggesting greater improvement in sleep quality in the placebo group versus the modafinil group. Discussion: Results suggest that modafinil is a relatively safe medication for affectively-stable BD patients when given with adjunctive mood stabilizers. Results are suggestive of cognitive benefit and improved daytime sleepiness, but worse sleep quality in those patients prescribed modafinil. A fully powered clinical trial is warranted with specific attention to the characteristics of patients who are most likely to benefit from treatment with modafinil and other methodological lessons learned from this pilot. Clinical trial registration: ClinicalTrials.gov, identifier NCT01965925.

Innovative Technologies in CNS Trials: Promises and Pitfalls for Recruitment, Retention, and Representativeness.

Objective: Recruitment of a sufficiently large and representative patient sample and its retention during central nervous system (CNS) trials presents major challenges for study sponsors. Technological advances are reshaping clinical trial operations to meet these challenges, and the COVID-19 pandemic further accelerated this development. Method of Research: The International Society for CNS Clinical Trials and Methodology (ISCTM; www.isctm.org) Innovative Technologies for CNS Trials Working Group surveyed the state of technological innovations for improved recruitment and retention and assessed their promises and pitfalls. Results: Online advertisement and electronic patient registries can enhance recruitment, but challenges with sample representativeness, conversion rates from eligible prescreening to enrolled patients, data privacy and security, and patient identification remain hurdles for optimal use of these technologies. Electronic medical records (EMR) mining with artificial intelligence (AI)/machine learning (ML) methods is promising but awaits translation into trials. During the study treatment phase, technological innovations increasingly support participant retention, including adherence with the investigational treatment. Digital tools for adherence and retention support take many forms, including patient-centric communication channels between researchers and participants, real-time study reminders, and digital behavioral interventions to increase study compliance. However, such tools add technical complexities to trials, and their impact on the generalizability of results are largely unknown. Conclusion: Overall, the group found a scarcity of systematic data directly assessing the impact of technological innovations on study recruitment and retention in CNS trials, even for strategies with already high adoption, such as online recruitment. Given the added complexity and costs associated with most technological innovations, such data is needed to fully harness technologies for CNS trials and drive further adoption.

Provider perspectives on telemental health implementation: Lessons learned during the COVID-19 pandemic and paths forward.

After years of slow and fragmented implementation of telemental health (TMH), the coronavirus disease (COVID-19) pandemic necessitated widespread adoption. With the initial state of public health emergency behind us, we are at a decision point on whether to continue with TMH or return to a largely in-person care model. In this qualitative study, we investigated clinicians' perspectives on advantages and disadvantages of TMH in outpatient mental healthcare as well as considerations for future implementation. We conducted 29 semistructured interviews with outpatient mental health providers. Data were analyzed using rapid qualitative analysis methodology. Advantages included increased utilization of services, improved therapeutic processes, and improved provider wellbeing. Providers, however, also noted that TMH has some disadvantages in terms of therapeutic processes and provider wellbeing, and they reported technology issues as an additional disadvantage. Overall providers reported they can provide high quality care via TMH, but indicated some patient populations and appointment types are a better fit for in-person services. Most providers preferred a hybrid model of care moving forward with reimbursement discrepancies and out-of-state licensure restrictions as barriers. They indicated that, as TMH becomes a mainstay in psychiatric care, training and professional guidelines will be important. Continued implementation of TMH alongside in-person care is likely to offer improved access and enhanced service quality when applied to the right patient populations and appointment types. Effective implementation may require policy and systems level support on equitable reimbursement rates, out-of-state licensure restrictions and professional guidelines for delivering TMH. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Cost and Effort Considerations for the Development of Intervention Studies Using Mobile Health Platforms: Pragmatic Case Study.

BACKGROUND: The research marketplace has seen a flood of open-source or commercial mobile health (mHealth) platforms that can collect and use user data in real time. However, there is a lack of practical literature on how these platforms are developed, integrated into study designs, and adopted, including important information around cost and effort considerations. OBJECTIVE: We intend to build critical literacy in the clinician-researcher readership into the cost, effort, and processes involved in developing and operationalizing an mHealth platform, focusing on Intui, an mHealth platform that we developed. METHODS: We describe the development of the Intui mHealth platform and general principles of its operationalization across sites. RESULTS: We provide a worked example in the form of a case study. Intui was operationalized in the design of a behavioral activation intervention in collaboration with a mental health service provider. We describe the design specifications of the study site, the developed software, and the cost and effort required to build the final product. CONCLUSIONS: Study designs, researcher needs, and technical considerations can impact effort and costs associated with the use of mHealth platforms. Greater transparency from platform developers about the impact of these factors on practical considerations relevant to end users such as clinician-researchers is crucial to increasing critical literacy around mHealth, thereby aiding in the widespread use of these potentially beneficial technologies and building clinician confidence in these tools.

Factors Associated With Self-reported Use of Web and Mobile Health Apps Among US Military Veterans: Cross-sectional Survey.

BACKGROUND: Despite their prevalence and reported patient interest in their use, uptake of health-related apps is limited. The Veterans Health Administration (VHA) has developed a variety of apps to support veterans; however, uptake remains low nationally. OBJECTIVE: We examined the prevalence of VHA health-related app use and how veterans learned about these apps in order to identify factors associated with their use. METHODS: As part of a VHA quality improvement initiative, we recruited a national cohort of veterans to obtain feedback on their use of technology for health and collected data from them via a cross-sectional survey. The survey data were supplemented with VHA administrative data. We used descriptive statistics to examine demographic and health characteristics, health-related technology use, and how veterans learned about apps. We assessed factors associated with app use using bivariate analyses and multiple logistic regression models. RESULTS: We had complete data on 1259 veterans. A majority of the sample was male (1069/1259, 84.9%), aged older than 65 years (740/1259, 58.8%), White (1086/1259, 86.3%), and non-Hispanic (1218/1259, 96.7%). Most respondents (1125/1259, 89.4%) reported being very comfortable and confident using computers, over half (675/1259, 53.6%) reported being an early adopter of technology, and almost half (595/1259, 47.3%) reported having used a VHA health-related app. Just over one-third (435/1259, 34.6%) reported that their VHA care team members encouraged them to use health-related apps. Respondents reported learning about available VHA health-related apps by reading about them on the VHA's patient portal (468/1259, 37.2%), being told about them by their VHA health care team (316/1259, 25.1%), and reading about them on the VHA's website (139/1259, 11%). Veterans who self-reported having used VHA health-related apps were more likely to receive care at the VHA (OR [odds ratio] 1.3, 95% CI 1.0-1.7), be in worse health (as assessed by Hierarchical Condition Community score; OR 1.1, 95% CI 1.0-1.2), report owning a desktop or laptop computer (OR 1.8, 95% CI 1.1-3.1), have posttraumatic stress disorder (OR 1.4, 95% CI 1.1-1.9), and report having VHA health care team members encourage them to use the apps (OR 2.7, 95% CI 2.1-3.4). CONCLUSIONS: We found strong associations between self-reported use by veterans of VHA health-related apps and multiple variables in our survey. The strongest association was observed between a veteran self-reporting app use and having received encouragement from their VHA health care team to use the apps. Veterans who reported receiving encouragement from their VHA care team members had nearly 3 times higher odds of using VHA apps than veterans who did not report receiving such encouragement. Our results add to growing evidence suggesting that endorsement of apps by a health care system or health care team can positively impact patient uptake and use.

Implementing Automated Text Messaging for Patient Self-management in the Veterans Health Administration: Qualitative Study Applying the Nonadoption, Abandonment, Scale-up, Spread, and Sustainability Framework.

BACKGROUND: The Veterans Health Administration (VHA) is deploying an automated texting system (aTS) to support patient self-management. OBJECTIVE: We conducted a qualitative evaluation to examine factors influencing national rollout of the aTS, guided by the Nonadoption, Abandonment, Scale-up, Spread, and Sustainability (NASSS) framework, which is intended to support the evaluation of novel technologies. METHODS: Semistructured interviews were conducted with 33 staff and 38 patients who were early adopters of the aTS. Data were analyzed following deductive and inductive approaches using a priori codes and emergent coding based on the NASSS. RESULTS: We identified themes across NASSS domains: (1) Condition: The aTS was considered relevant for a range of patient needs; however, perceptions of patient suitability were guided by texting experience and clinical complexity rather than potential benefits. (2) Technology: Onboarding of the aTS presented difficulty and the staff had different opinions on incorporating patient-generated data into care planning. (3) Value: Supply-side value relied on the flexibility of the aTS and its impact on staff workload whereas demand-side value was driven by patient perceptions of the psychological and behavioral impacts of the aTS. (4) Adopters: Limited clarity on staff roles and responsibilities presented challenges in incorporating the aTS into clinical processes. (5) Organization: Staff were willing to try the aTS; however, perceptions of leadership support and clinic readiness hindered usage. (6) Wider system: Staff focused on enhancing aTS interoperability with the electronic medical record. (7) Embedding and adaptation over time: The interplay of aTS versatility, patient and staff demands, and broader societal changes in preferences for communicating health information facilitated aTS implementation. CONCLUSIONS: VHA's new aTS has the potential to further engage patients and expand the reach of VHA care; however, patients and staff require additional support to adopt, implement, and sustain the aTS. The NASSS highlighted how the aTS can be better embedded into current practices, which patients might benefit most from its functionality, and which aspects of aTS messages are most relevant to self-management. TRIAL REGISTRATION: ClinicalTrials.gov NCT03898349; https://clinicaltrials.gov/ct2/show/NCT03898349.

Patient interest in mental health mobile app interventions: Demographic and symptom-level differences.

BACKGROUND: Mobile app interventions for mental health conditions (MH apps) are an accessible and effective but underutilized treatment option. Learning which patients are most interested in MH apps is important for informing stakeholders where to position these treatments within the healthcare landscape. This study examined the relationship between patient characteristics and interest in MH apps. METHODS: A demographically-balanced sample of 400 patients diagnosed with depression, anxiety and/or post-traumatic stress disorder were identified from VA corporate data warehouse records. These individuals were mailed an information packet explaining the study and the study survey for those who opted to participate. The survey contained questions on demographics, symptom severity and interest in MH apps. 149 participants returned completed surveys. RESULTS: Level of interest in MH apps was consistent across race, sex and education level. Patients reporting no interest in MH apps had less severe symptoms and were older than patients reporting some or high interest. LIMITATIONS: Participants were Veterans in one geographic region; our sample size was not large enough to evaluate more fine-grained demographic differences; replication would be required to better understand generalizability of findings. CONCLUSIONS: Findings suggest interest in MH apps may be more similar across demographic groups than previously thought. This stands in juxtaposition to interest in clinic-based services, for which men and minorities have traditionally reported less interest and show lower utilization. Findings also counter prevailing notions that MH apps will be best received by less symptomatic patients. Implications for integrating MH apps into care are discussed.

Veterans' experiences initiating VA-based mental health care.

Military veterans who could benefit from mental health services often do not access them. Research has revealed a range of barriers associated with initiating United States Department of Veterans Affairs (VA) care, including those specific to accessing mental health care (e.g., fear of stigmatization). More work is needed to streamline access to VA mental health-care services for veterans. In the current study, we interviewed 80 veterans from 9 clinics across the United States about initiation of VA mental health care to identify barriers to access. Results suggested that five predominant factors influenced veterans' decisions to initiate care: (a) awareness of VA mental health services; (b) fear of negative consequences of seeking care; (c) personal beliefs about mental health treatment; (d) input from family and friends; and (e) motivation for treatment. Veterans also spoke about the pathways they used to access this care. The four most commonly reported pathways included (a) physical health-care appointments; (b) the service connection disability system; (c) non-VA care; and (d) being mandated to care. Taken together, these data lend themselves to a model that describes both modifiers of, and pathways to, VA mental health care. The model suggests that interventions aimed at the identified pathways, in concert with efforts designed to reduce barriers, may increase initiation of VA mental health-care services by veterans. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Development and Preliminary Psychometric Evaluation of Decisional Balance and Self-Efficacy Measures for Managing Anxiety in a National Sample of Clinically Anxious Adults.

PURPOSE: Anxiety is the most common and costly mental illness in the United States. Reducing avoidance is a core element of evidence-based treatments. Past research shows readiness to address avoidance affects outcomes. Investigating avoidance from a transtheoretical model (TTM) perspective could facilitate tailored approaches for individuals with low readiness. This study developed and examined psychometric properties of TTM measures for addressing anxiety-based avoidance. DESIGN: Cross-sectional survey. SETTING: Community centers, online survey. PARTICIPANTS: Five hundred ninety-four individuals aged 18 to 70 with clinically significant anxiety. MEASURES: Overall Anxiety Severity Questionnaire, stages of change, decisional balance, and self-efficacy. ANALYSIS: The sample was randomly split into halves for principal component analyses (PCAs) and confirmatory factor analyses (CFAs) to test measurement models. Further analyses examined relationships between constructs. RESULTS: For decisional balance, PCA indicated two 5-item factors (pros and cons). Confirmatory factor analysis supported a 2-factor correlated model, Satorra-Bentler scaled chi-square [Formula: see text], comparative fit index (CFI = 0.94), root mean square error of approximation (RMSEA = 0.07), pros: α = 0.87, ρ = 0.87, cons: α = 0.75, and ρ = 0.75. For self-efficacy, PCA indicated one 6-item factor supported by CFA, [Formula: see text], P < .01, CFI = 0.98, RMSEA = 0.09, α = 0.90, ρ = 0.87. As hypothesized, significant cross-stage differences were observed for pros and self-efficacy, and significant relationships between anxiety severity and pros, cons, and self-efficacy were found. CONCLUSION: Findings show strong psychometric properties and support the application of a readiness-based model to anxiety. In contrast to findings of other behaviors, cons remain high in action and maintenance. These measures provide a solid empirical foundation to develop TTM-tailored interventions to enhance engagement in treatment.

Co-occurrence and coaction of stress management with other health risk behaviors.

This study provides a preliminary investigation of the role of stress management in multiple behavior change. Risk status on stress management and five health behaviors (healthy eating, exercise, alcohol, smoking, and depression management) was assessed before and after a multiple behavior change intervention. Findings suggested a link between stress management and a worse health risk behavior profile at baseline. Results also showed relationships between improved stress management over 6 months and heightened odds of improving on specific behaviors as well as improving one's overall behavioral risk profile. Particularly strong links between stress management and energy balance and other affective behaviors were observed.

Evaluation of the acceptability and feasibility of a computer-tailored intervention to increase human papillomavirus vaccination among young adult women.

OBJECTIVE: To examine acceptability and feasibility of a Transtheoretical Model (TTM)-based computer-tailored intervention (CTI) for increasing human papillomavirus (HPV) vaccination in college-aged women. PARTICIPANTS: Two hundred forty-three women aged 18-26 were recruited between February and May of 2011. METHODS: Participants completed the intervention and a 14-item evaluation of intervention content and delivery. RESULTS: Most participants had heard of HPV (91%), but the majority (57%) of participants were in Precontemplation for getting vaccinated. Eighty-nine percent of participants rated the CTI positively across all acceptability items, and 91% endorsed intention to get vaccinated after intervention. Although average ratings in each demographic subgroup were positive, Hispanic women and participants in more advanced stages of change rated the program more favorably than non-Hispanic and earlier-stage participants. Additionally, HPV knowledge was higher among white/non-Hispanic participants. CONCLUSIONS: Initial acceptability and feasibility data for this intervention are promising. Its computer-based, individually tailored format is state of the art and ideal for inexpensive dissemination.