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Mobile technologies have become increasingly pervasive and integral in our daily lives. A growing number of mobile applications are focused on health applications with many specifically focused on helping the prevention, treatment, and management of mental health issues. These apps are slowly being introduced into clinical settings, either being brought in by clients who themselves are using these tools or by health systems or providers. Unfortunately, most practicing providers obtained their clinical training before the advent of mobile health tools and methods. Thus, a critical need exists to develop and disseminate resources to develop the essential skills needed to adopt mobile health techniques. We discuss the five core competencies in mobile health care: evidence, integration, security and privacy, ethics, and cultural considerations. Although this paper will not fully prepare a provider to use mobile apps in their practice, it provides an introduction that will helpfully guide a provider to additional resources and additional ways to develop these competencies. Finally, we discuss the future directions of the field, including a growing differentiation of the impact of mobile apps on clinical care and the need for training models and experiences to match this differentiation.

Implementation efforts to increase adoption of health technologies (e.g., telehealth, mobile health, electronic health records, patient portals) have commonly focused on increasing the adoption of specific health technologies in specific service lines. To facilitate adoption of multiple health technologies across a hospital setting, four Virtual Health Resource Centers (VHRCs) were established to provide clinical adoption support to healthcare staff and patients in four hospitals in a large healthcare system. This study spanned a 3-year period, with the first half including pre-implementation efforts, and the second half involved in implementation efforts. In order to compare sites to the national population, a binomial regression was used which allowed for adjustment of relevant covariates (e.g., differences in number of enrollees, level of complexity of facility). The pre-implementation phase and the initial year-and-a-half of the implementation phase resulted in an increase in internal facilitators' knowledge and skills of virtual care technologies, an increase in facilitator and site capacity, and high levels of adherence to implementation strategies were maintained across sites. Virtual care utilization increased across all sites and across the healthcare system during the implementation phase; however, a comparison to the increase in national level virtual care utilization metrics yielded no meaningful difference. While many implementation strategies aim to increase the adoption of a particular health technology product (e.g., a particular app or remote monitoring use case), the establishment of VHRCs may increase efficiencies in delivery of virtual care training and consultation to healthcare staff and patients, which may increase capacity and decrease barriers to adoption. However, due to the impact of the COVID-19 pandemic on the need for rapid adoption of technology and decreased in person care and services, it is not yet known the longer term impact that the establishment of VHRCs may have on the sustained adoption of health technologies.

Sensors and wearables measure physiological and behavioral data in real time for behavioral health, using a variety of methods, interventions, and outcomes. A six-stage scoping review of 10 literature databases focused on keywords in four concept areas: (1) mobile technologies; (2) sensors, wearables, and remote monitoring; (3) mood and anxiety disorders, as well as stress; and (4) behavioral health care. Two authors independently screened results based on titles and abstracts, reviewed the full-text articles, and used inclusion/exclusion criteria to find research that studied self-report or management of symptoms and interventions. Out of a total of 5468 potential references, 76 papers were selected and an additional 16 studies were discovered in references. Of the 92 studies, 54 (58.7%) focused on mood (depressive, N = 28; bipolar, N = 26), 18 (19.6%) on anxiety disorders, and 20 (21.7%) on psychological stress/stress disorders. There were 7 (7.6%) randomized controlled trials, and 31 (33.7%) comparison studies. Research is shifting toward standardized methods, interventions, and evaluation measures, with longitudinal correlation, prediction, and/or biomarking/digital phenotyping of patients’ outcomes. These technologies pose several challenges for users, clinicians (e.g., selection, training, skills), healthcare systems (e.g., technology, integration into workflow, privacy), and organizations (e.g., training, creating a professional e-culture, change). Future research is needed on clinical health outcomes; human–computer interaction; medico-legal, professional, and privacy policy issues; models of service delivery; and effectiveness at a population level, across cultures, and related to economic costs. Clinician and institutional competencies could ensure quality of care, integration of missions, and institutional change.

Sensor, wearable, and remote patient monitoring technologies are typically used in conjunction with video and/or in-person care for a variety of interventions and care outcomes. This scoping review identifies clinical skills (i.e., competencies) needed to ensure quality care and approaches for organizations to implement and evaluate these technologies. The literature search focused on four concept areas: (1) competencies; (2) sensors, wearables, and remote patient monitoring; (3) mobile, asynchronous, and synchronous technologies; and (4) behavioral health. From 2846 potential references, two authors assessed abstracts for 2828 and, full text for 521, with 111 papers directly relevant to the concept areas. These new technologies integrate health, lifestyle, and clinical care, and they contextually change the culture of care and training-with more time for engagement, continuity of experience, and dynamic data for decision-making for both patients and clinicians. This poses challenges for users (e.g., keeping up, education/training, skills) and healthcare organizations. Based on the clinical studies and informed by clinical informatics, video, social media, and mobile health, a framework of competencies is proposed with three learner levels (novice/advanced beginner, competent/proficient, advanced/expert). Examples are provided to apply the competencies to care, and suggestions are offered on curricular methodologies, faculty development, and institutional practices (e-culture, professionalism, change). Some academic health centers and health systems may naturally assume that clinicians and systems are adapting, but clinical, technological, and administrative workflow-much less skill development-lags. Competencies need to be discrete, measurable, implemented, and evaluated to ensure the quality of care and integrate missions.

Background Video and other technologies are reshaping the delivery of health care, yet barriers related to workflow and possible provider fatigue suggest that a thorough evaluation is needed for quality and process improvement. Objective This scoping review explored the relationship among technology, fatigue, and health care to improve the conditions for providers. Methods A 6-stage scoping review of literature (from 10 databases) published from 2000 to 2020 that focused on technology, health care, and fatigue was conducted. Technologies included synchronous video, telephone, informatics systems, asynchronous wearable sensors, and mobile health devices for health care in 4 concept areas related to provider experience: behavioral, cognitive, emotional, and physical impact; workplace at the individual, clinic, hospital, and system or organizational levels; well-being, burnout, and stress; and perceptions regarding technology. Qualitative content, discourse, and framework analyses were used to thematically analyze data for developing a spectrum of health to risk of fatigue to manifestations of burnout. Results Of the 4221 potential literature references, 202 (4.79%) were duplicates, and our review of the titles and abstracts of 4019 (95.21%) found that 3837 (90.9%) were irrelevant. A full-text review of 182 studies revealed that 12 (6.6%) studies met all the criteria related to technology, health care, and fatigue, and these studied the behavioral, emotional, cognitive, and physical impact of workflow at the individual, hospital, and system or organizational levels. Video and electronic health record use has been associated with physical eye fatigue; neck pain; stress; tiredness; and behavioral impacts related to additional effort owing to barriers, trouble with engagement, emotional wear and tear and exhaustion, cognitive inattention, effort, expecting problems, multitasking and workload, and emotional experiences (eg, anger, irritability, stress, and concern about well-being). An additional 14 studies that evaluated behavioral, emotional, and cognitive impacts without focusing on fatigue found high user ratings on data quality, accuracy, and processing but low satisfaction with clerical tasks, the effort required in work, and interruptions costing time, resulting in more errors, stress, and frustration. Our qualitative analysis suggests a spectrum from health to risk and provides an outline of organizational approaches to human factors and technology in health care. Business, occupational health, human factors, and well-being literature have not studied technology fatigue and burnout; however, their findings help contextualize technology-based fatigue to suggest guidelines. Few studies were found to contextually evaluate differences according to health professions and practice contexts. Conclusions Health care systems need to evaluate the impact of technology in accordance with the Quadruple Aim to support providers’ well-being and prevent workload burden, fatigue, and burnout. Implementation and effectiveness approaches and a multilevel approach with objective measures for clinical, human factors, training, professional development, and administrative workflow are suggested. This requires institutional strategies and competencies to integrate health care quality, technology and well-being outcomes.

BACKGROUND Video and other technologies are reshaping the delivery of health care, yet barriers related to workflow and possible provider fatigue suggest that a thorough evaluation is needed for quality and process improvement. OBJECTIVE This scoping review explored the relationship among technology, fatigue, and health care to improve the conditions for providers. METHODS A 6-stage scoping review of literature (from 10 databases) published from 2000 to 2020 that focused on technology, health care, and fatigue was conducted. Technologies included synchronous video, telephone, informatics systems, asynchronous wearable sensors, and mobile health devices for health care in 4 concept areas related to provider experience: behavioral, cognitive, emotional, and physical impact; workplace at the individual, clinic, hospital, and system or organizational levels; well-being, burnout, and stress; and perceptions regarding technology. Qualitative content, discourse, and framework analyses were used to thematically analyze data for developing a spectrum of health to risk of fatigue to manifestations of burnout. RESULTS Of the 4221 potential literature references, 202 (4.79%) were duplicates, and our review of the titles and abstracts of 4019 (95.21%) found that 3837 (90.9%) were irrelevant. A full-text review of 182 studies revealed that 12 (6.6%) studies met all the criteria related to technology, health care, and fatigue, and these studied the behavioral, emotional, cognitive, and physical impact of workflow at the individual, hospital, and system or organizational levels. Video and electronic health record use has been associated with physical eye fatigue; neck pain; stress; tiredness; and behavioral impacts related to additional effort owing to barriers, trouble with engagement, emotional wear and tear and exhaustion, cognitive inattention, effort, expecting problems, multitasking and workload, and emotional experiences (eg, anger, irritability, stress, and concern about well-being). An additional 14 studies that evaluated behavioral, emotional, and cognitive impacts without focusing on fatigue found high user ratings on data quality, accuracy, and processing but low satisfaction with clerical tasks, the effort required in work, and interruptions costing time, resulting in more errors, stress, and frustration. Our qualitative analysis suggests a spectrum from health to risk and provides an outline of organizational approaches to human factors and technology in health care. Business, occupational health, human factors, and well-being literature have not studied technology fatigue and burnout; however, their findings help contextualize technology-based fatigue to suggest guidelines. Few studies were found to contextually evaluate differences according to health professions and practice contexts. CONCLUSIONS Health care systems need to evaluate the impact of technology in accordance with the Quadruple Aim to support providers’ well-being and prevent workload burden, fatigue, and burnout. Implementation and effectiveness approaches and a multilevel approach with objective measures for clinical, human factors, training, professional development, and administrative workflow are suggested. This requires institutional strategies and competencies to integrate health care quality, technology and well-being outcomes.

IntroductionThe study’s objectives were to improve providers’ knowledge of mobile health core competencies; increase providers’ knowledge and clinical use of the Virtual Hope Box (VHB) mobile app as an evidence-based treatment tool; and test elements of a structured knowledge translation paradigm.Materials and Methodsknowledge translation best practices were integrated into a training workshop with the goal to increase provider adoption of the VHB. Providers were trained at three sites and provided feedback before the training, post-training, and at 3, 6, and 12 months following the training.ResultsPretraining, ConclusionsUsing a public-facing technology, this study successfully integrated knowledge translation methods within an existing provider training program. Implementation planning should be deliberate and consider a target site’s capacity for new ideas and potential adoption barriers. Lessons learned have implications for future efforts to bridge the gap between research and practice in improving the quality and impact of clinical care.

Up to one-third of US Active Duty Service Members endorse insomnia symptoms. To support the overall readiness of service members at home and abroad, this rapid review analyzes findings from clinical trials and the results of an innovative market research protocol investigating digital health technologies to support treatment for insomnia. The authors searched the PubMed database for clinical trials incorporating internet and mobile technologies for treatment of insomnia. Market research used internet search engines to identify insomnia interventions available on the internet, and mobile app distribution platforms to identify insomnia-related mobile apps. A rapid review of the literature found that internet-based cognitive behavioral programs showed similar effectiveness when compared with in-person-delivered cognitive treatments. Similarly, mobile apps developed for smartphones were found to be an effective technology for treating insomnia and sleep disorders. Based on market research findings, this report identified four internet-based treatment programs and five mobile apps for the treatment of insomnia. While there is limited research on this topic, results show a potential for successfully delivering CBT-I treatments for insomnia using the internet and mobile apps. Future evidence-based studies are needed to determine the efficacy of technology-based treatments, and for determining best practices for the military population.

In this brief state of the science review, we provide a synopsis of the literature on psychological health mobile applications (apps) and discuss the impact of mobile technology on psychological health practice. We describe the variety of psychological health app uses from self-management, skills training, and supportive care to symptom tracking and data collection; and we summarize the current evidence for the efficacy and effectiveness of psychological health apps. Finally, we offer some pragmatic suggestions for evaluating psychological health apps for quality and clinical utility. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Mobile applications (apps) to support behavioral health are increasing in number and are recommended frequently by medical providers in a variety of settings. As with the use of any adjunct tool in therapy, psychologists adopting new technologies in clinical practice must comply with relevant professional ethics codes and legal standards. However, emerging technologies can outpace regulations regarding their use, presenting novel ethical considerations. Therefore, it is incumbent upon providers to extrapolate current ethical standards and laws to new technologies before they recommend them as adjuncts to face-to-face treatment. This article identifies best practices for incorporating apps into treatment, including competence in the use of smartphones in general and familiarity with the specific apps recommended. Psychologists must conduct informed consent procedures in accordance with existing evidence, as well as privacy and security concerns relating to a particular app, in order to mitigate potential liability regarding the collection of client-generated data. Psychologists also should be prepared to educate clients about how best to safeguard their data, such as through encryption, password protection, or remote deletion of data. By doing so, psychologists can balance potentially competing demands of leveraging emerging technology to improve care while simultaneously ensuring ethical and legal compliance in these new areas. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

This article describes the results of the delivery of the fourth year of the delivery of a competency-based training program to train providers on best practices for mobile health in clinical care. During a 1-year span of time eight 1-day training workshops were delivered, training 252 providers and clinical support staff on best practices for mobile health in clinical care. Quality and effectiveness of training was evaluated and data was collected regarding provider technology use. Comparisons with previously published results were made and lessons learned for increasing reach and effectiveness of training were provided. Results showed that the training was effective in increasing knowledge and skills on the core competencies for mobile health in clinical care. Prior to the training, 48.5% reported integrating mobile health in clinical care, and following the training, 95.8% reported the intention to use mobile health. Follow-up results indicated that these results were maintained over time (83.3%), although limitations in the validity of follow-up data due to low response rates were noted. In order for clinicians to fully leverage the benefits of mobile health, training on mobile health is necessary. The current competency-based mobile health provider training is a mature, standardized, and effective solution that can serve as a model for existing and future mobile health training programs.

Web-based self-care resources have a number of potential benefits for military service members (SMs) and their families such as convenience, anonymity, and immediate 24/7 access to useful information. There is limited data available, however, regarding SM and military healthcare provider use of online self-care resources. Our goal with this study was to conduct a preliminary survey assessment of self-care Web site awareness, general attitudes about use, and usage behaviors of Web-based self-care resources among SMs and military healthcare providers. Results show that the majority of SMs and providers use the Internet often, use Internet self-care resources, and are willing to use additional Web-based resources and capabilities. SMs and providers also indicated a preference for Web-based self-care resources as adjunct tools to face-to-face/in-person care. Data from this preliminary study are useful for informing additional research and best practices for integrating Web-based self-care for the military community.

Working memory deficits have been identified in bipolar disorder, but there is evidence suggesting that these deficits may be markers for psychosis rather than affective disorder. The current study examined this issue by comparing two groups of individuals with bipolar disorder, one with psychotic features and one without psychotic features, with a group of normal controls. Working memory was conceptualized as a multicomponent system that includes auditory and visuospatial short-term stores, executive control processes, and an episodic buffer that allows for communication between short- and long-term memory stores (Baddeley & Logie, 1999). Results indicated that only executive control processes significantly differentiated the psychotic and nonpsychotic bipolar groups, although visuospatial working memory differentiated both bipolar groups from controls. The results support the idea that some aspects of working memory performance are markers for psychosis, while others may be more general markers for bipolar disorders.

The current study examined the sensitivity of the Comprehensive Trail Making Test (CTMT Reynolds) to neurocognitive deficits in adolescents with traumatic brain injury (TBI). Participants included 60 adolescents, 30 who had sustained TBI and 30 healthy controls (HC) that were individually matched to the TBI sample on age, gender, ethnicity, and geographical region. For both the TBI and HC groups the mean age was 15.0 years (S.D.=2.3 years, range=11-19). The TBI group had a mean IQ of 81.7 (S.D.=14.9), had sustained moderate to severe brain injury, and was assessed an average of 21.1 months (S.D.=20.7) following injury. The TBI group performed approximately 2 standard deviations below the control sample mean on each of the five CTMT trails as well as on the composite index and these differences were significant (p

Randomized controlled trials (RCTs) support the effectiveness of virtual reality exposure therapy (VRET) for anxiety disorders; however, the overall quality of the VRET RCT literature base has yet to be evaluated. This study reviewed 27 VRET RCTs and the degree of adherence to 8 RCT research design criteria derived from existing standards. Adherence to the study quality criteria was generally low as the articles met an average 2.85 criteria (SD = 1.56). None of the studies met more than six quality criteria. Study quality did not predict effect size; however, a reduction in effect size magnitude was observed for studies with larger sample sizes when comparing VRET to non-active control groups. VRET may be an effective method of treatment but caution should be exercised in interpreting the existing body of literature supporting VRET relative to existing standards of care. The need for well-designed VRET research is discussed.

Virtual environments provide the ability to systematically deliver test stimuli in simulated contexts relevant to real world behavior. The current study evaluated the validity of the Virtual Reality Stroop Task (VRST), which presents test stimuli during a virtual reality military convoy with simulated combat threats. Active duty Army personnel (N = 49) took the VRST, a customized version of the Automated Neuropsychological Assessment Metrics (ANAM)–Fourth Edition TBI Battery (2007) that included the addition of the ANAM Stroop and Tower tests, and traditional neuropsychological measures, including the Delis-Kaplan Executive Function System version of the Color–Word Interference Test. Preliminary convergent and discriminant validity was established, and performance on the VRST was significantly associated with computerized and traditional tests of attention and executive functioning. Valid virtual reality cognitive assessments open new lines of inquiry into the impact of environmental stimuli on performance and offer promise for the future of neuropsychological assessments used with military personnel.