Technology-based Health Interventions Research Articles

Technology-Based Physical Health Interventions for Adults with Intellectual Disability: A Scoping Review

Technology-Based Physical Health Interventions for Adults with Intellectual Disability: A Scoping Review

Use of technology as a mediator for loneliness

Abstract This study seeks to identify the significant predictors of loneliness among older adults during the COVID-19 pandemic and asks if using technology can help older adults mitigate the effects of loneliness during periods of social isolation. Data from Wave 9, COVID-19 Survey 2 (Summer, 2021) of the Survey of Health, Aging, and Retirement in Europe (SHARE) were used to determine which factors were meaningful influences on loneliness among older adults during the second wave of the COVID-19 pandemic N = 10 countries in 3 healthcare system clusters. Statistical analysis for this study consists of two steps: Independent-Samples Kruskal-Wallis and the Dunn-Bonferroni tests; then, logistic regression analyses were used to examine differences between 3 cluster identities. The Kruskal-Wallis test shows that the rate of loneliness varies significantly different countries [χ2(9)=583.6;p< .001], with Latvia/Lithuania having the highest rates. Dunn's pairwise tests were conducted for the 3 country clusters with very strong evidence (p < 0.001) of a difference between rate of loneliness between clusters, with cluster 3 countries of Latvia/Lithuania reporting greatest loneliness; and, age, home care, employment, and financial support (p < 0.001) being significant for the use of technology with all clusters having significance. Only cluster 1 showed significance for use of technology for mitigating loneliness (p < 0.05). Findings from this study suggest that, among higher performing health system countries, technology was a significant mediator of loneliness during the second wave of the COVID-19 pandemic. Findings demonstrate that poorer performing countries could benefit from increased capacity for technology-based public health interventions to reduce loneliness among older adults. Key messages • Public health interventions can use technology to mitigate feelings of loneliness among older adults. • Public health programming can focus on introducing technology-based interventions for older adults.

Addressing Cognitive Function and Psychological Well-Being in Chronic Kidney Disease: A Systematic Review on the Use of Technology-Based Interventions.

Patients with chronic kidney disease (CKD) are at risk of both a gradual decline in cognitive function and an increase in psychological distress. This includes symptoms of anxiety, depression, and sleep disturbances, all of which are factors that have been associated with increased morbidity and mortality. In response, we are now seeing that interventions based on new digital technologies are increasingly used in order to optimize patients' quality of life. Systematic research of the literature on electronic databases (MEDLINE/PubMed, Scopus, Web of Science, and PsycInfo/ProQuest) covering the period from 2012 to 2022 was conducted in order to methodically review the existing evidence regarding the implementation and effectiveness of technology-based interventions in the management of cognitive and psychological well-being symptoms in patients with CKD. A total of 739 articles were retrieved, 13 of which are included in the present review. All the studies focused on the usability, acceptability, and feasibility of technology-based interventions aimed at psychological symptoms, with no studies targeting cognitive functioning. Technology-based interventions offer feelings of safety, fun, and satisfaction, and they also have the potential to improve CKD patients' health outcomes regarding their psychological well-being. The diverseness of technologies allows an approximation towards the identification of those types of technologies most frequently used, as well as the symptoms targeted. There was considerable heterogeneity in the types of technologies used for interventions in so few studies, making it difficult to draw conclusive findings with regard to their efficiency. In order to adequately assess the technology-based health interventions effect, future lines of research should consider designing non-pharmacological treatments for the improvement of cognitive and psychological symptoms in this type of patient.

Using the participatory education and research into lived experience (PEARLE) methodology to localize content and target specific populations.

Technology-based behavioral health interventions offer potentially limitless opportunities to localize content and target specific populations. However, this ability to customize requires developers to make a wide range of decisions not only about who should appear on screen, but how each message should be refined to most effectively reach a particular group of intervention recipients. These issues become especially salient as interventions are scaled for delivery to multiple populations in different geographical locations or settings (e.g., a hospital emergency department versus the drop-in center of a community-based clinic), and in more than one language. To facilitate evidence-based development of customized, targeted intervention content, our team created a multi-step methodology over a series of NIH-funded research projects. The resulting Participatory Education and Research into Lived Experience (PEARLE) Methodology entails formative qualitative interviews to examine why members of a given population do not enact a specific health behavior such as HIV/HCV testing or vaccinating against COVID-19 (this step includes identifying potential gaps in related health literacy), followed by iterative evaluations of draft content designed to address these barriers, and extensive discussions with a Community Advisory Board. The final step is a clinical trial. PEARLE is designed to be highly flexible, adaptable to a variety of behavioral outcomes in clinical and community settings, and to create content in more than one language depending on the needs or preferences of a population. The current paper discusses how our team employed PEARLE to develop content in English and Spanish for our latest project, which is intended to increase COVID-19 vaccination uptake among people who inject drugs.

Technology obsolescence across the adult lifespan in a USA internet sample.

We know that older adults are less likely to own certain technological devices, such as smartphones, a technology now integral to telehealth. However, for those older adults who do own devices, we know very little about how their devices may differ from those of younger adults. The age of a device can determine the types of programs it can run, as well as the level of protection it has against malicious code. The following study is an attempt to understand the ages of devices owned by different demographic groups. An electronic survey was sent to American adults from ages 19–97, querying the types of devices they own, how old those devices are, when they plan on replacing them, and demographic information. Regression models were employed to determine the factors that predict device ownership and the age of the devices owned. We replicate the finding that older adults are less likely to own certain devices, like smartphones and laptops. However, they may be more likely to own more dated devices, such as non-smart mobile phones. Models of device age showed that older adults are more likely to own older smartphones, as well as older desktop and laptop computers. Thus, older adults may be more susceptible to hacking, due to obsolete technology. In some cases, they also may not have devices modern enough for technology-based health interventions. Thus, obsolete devices may present an additional barrier for adoption of technology-based interventions by older adults.

Information and communication technology-based health interventions for transgender people: A scoping review.

In the recent past, there has been a strong interest in the use of information and communication technology (ICT) to deliver healthcare to 'hard-to-reach' populations. This scoping review aims to explore the types of ICT-based health interventions for transgender people, and the concerns on using these interventions and ways to address these concerns. Guided by the scoping review frameworks offered by Arksey & O'Malley and the PRISMA-ScR checklist, literature search was conducted in May 2021 and January 2022 in three databases (PubMed, CINAHL and Scopus). The two searches yielded a total of 889 non-duplicated articles, with 47 of them meeting the inclusion criteria. The 47 articles described 39 unique health projects/programs, covering 8 types of ICT-based interventions: videoconferencing, smartphone applications, messaging, e-coaching, self-learning platforms, telephone, social media, and e-consultation platforms. Over 80% of the health projects identified were conducted in North America, and 62% focused on HIV/sexual health. The findings of this review suggest that transgender people had often been regarded as a small subsample in ICT-based health projects that target other population groups (such as 'men who have sex with men' or 'sexual minority'). Many projects did not indicate whether transgender people were included in the development or evaluation of the project. Relatively little is known about the implementation of ICT-based trans health interventions outside the context of HIV/sexual health, in resource limiting settings, and among transgender people of Asian, Indigenous or other non-White/Black/Hispanic backgrounds. While the range of interventions identified demonstrate the huge potentials of ICT to improve healthcare access for transgender people, the current body of literature is still far from adequate for making comprehensive recommendations on the best practice of ICT-based interventions for transgender people. Future ICT-based interventions need to be more inclusive and specified, in order to ensure the interventions are safe, accessible and effective for transgender people.

Technology-Based Mental Health Interventions for Domestic Violence Victims Amid COVID-19.

Introduction: Domestic violence is a threat to human dignity and public health. Mounting evidence shows that domestic violence erodes personal and public health, spawning issues such as lifelong mental health challenges. To further compound the situation, COVID-19 and societies’ poor response to the pandemic have not only worsened the domestic violence crisis but also disrupted mental health services for domestic violence victims. While technology-based health solutions can overcome physical constraints posed by the pandemic and offer timely support to address domestic violence victims’ mental health issues, there is a dearth of research in the literature. To bridge the research gap, in this study, we aim to examine technology-based mental health solutions for domestic violence victims amid COVID-19. Methods: A literature review was conducted to examine solutions that domestic violence victims can utilize to safeguard and improve their mental health amid COVID-19. Databases including PubMed, PsycINFO, and Scopus were utilized for the literature search. The search was focused on four themes: domestic violence, mental health, technology-based interventions, and COVID-19. A reverse search of pertinent references was conducted in Google Scholar. The social ecological model was utilized to systematically structure the review findings. Results: The findings show that a wide array of technology-based solutions has been proposed to address mental health challenges faced by domestic violence victims amid COVID-19. However, none of these proposals is based on empirical evidence amid COVID-19. In terms of social and ecological levels of influence, most of the interventions were developed on the individual level, as opposed to the community level or social level, effectively placing the healthcare responsibility on the victims rather than government and health officials. Furthermore, most of the articles failed to address risks associated with utilizing technology-based interventions (e.g., privacy issues) or navigating the online environment (e.g., cyberstalking). Conclusion: Overall, our findings highlight the need for greater research endeavors on the research topic. Although technology-based interventions have great potential in resolving domestic violence victims’ mental health issues, risks associated with these health solutions should be comprehensively acknowledged and addressed.

COVID-19, violence, and mental health among Indigenous gay and bisexual men in Guatemala: An urgent call from key stakeholders

ABSTRACT We explored how the COVID-19 pandemic has affected the health and wellbeing of Indigenous gay and bisexual men (GBM) in Guatemala, a group that experiences intersectional stigma and structural barriers to health. Between February and May 2021, we conducted in-depth qualitative interviews via Zoom with key stakeholders (n = 11) working with Indigenous GBM throughout Guatemala. We coded thematically and conducted narrative analysis to identify the most salient themes. Participants described that prior to the COVID-19 pandemic, many Indigenous GBM migrated to urban centres to avoid stigma and violence from families and rural communities. After the onset of COVID-19, many Indigenous GBM lost their jobs and were forced to move back in with families. For Indigenous GBM who returned, participants described a perceived increase in the severity of physical and psychological violence. Participants attributed this increase in severity to retribution from families and communities for having left. Most Indigenous GBM-serving organisations reported a drastic increase in demand for mental health services. Organisations serving Indigenous GBM have an urgent need to scale up their mental health services and find innovative ways to provide these services remotely during the pandemic and beyond. Technology-based mental health interventions that require little ‘live’ interaction may be appropriate.

Text Messaging Intervention for Mental Wellness in American Indian and Alaska Native Teens and Young Adults (BRAVE Study): Analysis of User Engagement Patterns.

BackgroundMany American Indian and Alaska Native (AI/AN or Native) communities express concern about high rates of suicide and poor mental health. Technology-based health interventions that nurture resilience, coping skills, connectedness, and help-seeking skills may be an effective strategy for promoting health and wellbeing among AI/AN youth. The Northwest Portland Area Indian Health Board designed the BRAVE intervention for AI/AN youth. BRAVE is delivered via SMS text messaging and includes role model videos, mental wellness strategies, links to culturally relevant resources, and social support from family and friends.ObjectiveThe aim of this study is to explore system data from the BRAVE intervention to determine patterns of user engagement and differences in psychosocial outcomes based on the number of clicks on BRAVE content.MethodsThe BRAVE study included 1030 AI/AN teens and young adults nationwide (15 to 24 years old). The message series in the BRAVE and STEM study arms included 3 to 5 SMS text messages per week, featuring 1 role model video and 1 image per week. Messages were sent out via Mobile Commons (Upland Software Inc), a mobile messaging provider that supports text, picture, and video SMS.ResultsOf the 509 participants in the original BRAVE analysis, 270 had sufficient data to analyze user engagement, with at least 1 trackable click on a study SMS text message. Of the 270, 184 (68.1%) were female, 50 (18.5%) were male, and 36 (13.3%) selected another gender category. The average participant was 20.6 years old, with a minimum and maximum age of 15 and 26 years. Most participants had relatively low engagement measured by the number of clicks (median 2; mean 3.4), although others clicked message content as many as 49 times. Users engaged most frequently with the YouTube-based content (viewing 1 of 7 role model videos), with 64.8% (175/270) of total clicks coming from the role model videos, and earlier episodes receiving the highest number of clicks. Most baseline psychosocial measures were not significantly associated with the number of links clicked. However, help-seeking behavior was highly significant (P<.001), with a rate ratio of 0.82 (0.73, 0.92), indicating that each 1-unit increase in help-seeking score at baseline was associated with an 18% decrease in the expected number of study content clicks.ConclusionsThis is the first study to set initial standards for assessing user engagement in an mHealth intervention. Our work underscores the feasibility of exploring the impact of engagement on intended outcomes, allowing for more precise exploration of the dose-response relationship that may be realized through these low-touch interventions that offer promising potential for reaching high numbers of program participants.Trial RegistrationClinicalTrials.gov NCT04979481; https://clinicaltrials.gov/ct2/show/NCT04979481

A Smartphone-Based Self-management Intervention for Individuals With Bipolar Disorder (LiveWell): Protocol Development for an Expert System to Provide Adaptive User Feedback.

BackgroundBipolar disorder is a severe mental illness that results in significant morbidity and mortality. While pharmacotherapy is the primary treatment, adjunctive psychotherapy can improve outcomes. However, access to therapy is limited. Smartphones and other technologies can increase access to therapeutic strategies that enhance self-management while simultaneously augmenting care by providing adaptive delivery of content to users as well as alerts to providers to facilitate clinical care communication. Unfortunately, while adaptive interventions are being developed and tested to improve care, information describing the components of adaptive interventions is often not published in sufficient detail to facilitate replication and improvement of these interventions.ObjectiveTo contribute to and support the improvement and dissemination of technology-based mental health interventions, we provide a detailed description of the expert system for adaptively delivering content and facilitating clinical care communication for LiveWell, a smartphone-based self-management intervention for individuals with bipolar disorder.MethodsInformation from empirically supported psychotherapies for bipolar disorder, health psychology behavior change theories, and chronic disease self-management models was combined with user-centered design data and psychiatrist feedback to guide the development of the expert system.ResultsDecision points determining the timing of intervention option adaptation were selected to occur daily and weekly based on self-report data for medication adherence, sleep duration, routine, and wellness levels. These data were selected for use as the tailoring variables determining which intervention options to deliver when and to whom. Decision rules linking delivery of options and tailoring variable thresholds were developed based on existing literature regarding bipolar disorder clinical status and psychiatrist feedback. To address the need for treatment adaptation with varying clinical statuses, decision rules for a clinical status state machine were developed using self-reported wellness rating data. Clinical status from this state machine was incorporated into hierarchal decision tables that select content for delivery to users and alerts to providers. The majority of the adaptive content addresses sleep duration, medication adherence, managing signs and symptoms, building and utilizing support, and keeping a regular routine, as well as determinants underlying engagement in these target behaviors as follows: attitudes and perceptions, knowledge, support, evaluation, and planning. However, when problems with early warning signs, symptoms, and transitions to more acute clinical states are detected, the decision rules shift the adaptive content to focus on managing signs and symptoms, and engaging with psychiatric providers.ConclusionsAdaptive mental health technologies have the potential to enhance the self-management of mental health disorders. The need for individuals with bipolar disorder to engage in the management of multiple target behaviors and to address changes in clinical status highlights the importance of detailed reporting of adaptive intervention components to allow replication and improvement of adaptive mental health technologies for complex mental health problems.

Mobile Technology Access and Use Among Adolescent Mothers in Lima, Peru: Mixed Methods Study.

BackgroundResearch shows promise for the use of mobile health interventions to improve access to care for mothers and infants. Although adolescent mothers in particular are comfortable with technology and often face barriers to accessing care, data on the use of digital interventions with young mothers are limited.ObjectiveThis study aims to examine technology access and use behavior among adolescent mothers in Lima, Peru, to inform the development of technology-mediated perinatal interventions for high-risk mothers and infants in low- and middle-income countries and other areas with limited access to care.MethodsThis mixed methods study consisted of a phone survey about technology access (N=29), focus group discussions with clinicians (N=25), and semistructured in-depth interviews with adolescent mothers (N=10) and their family members (N=8) in Lima.ResultsAll adolescent mothers surveyed had access to a smartphone, and nearly half had access to a computer or tablet. However, participants reported a number of obstacles to consistent smartphone access related to the financial precarity of their situations. Examples of this included difficulty affording phone services, using shared plans, and losing smartphones because of theft.ConclusionsThese findings indicate that adolescent mothers are connected to technology, highlighting the potential scalability of technology-based health interventions for adolescent mothers in low- and middle-income countries while identifying barriers that need to be addressed.

PERSONAL TECHNOLOGY USE AMONGST STROKE PATIENTS: UNDERSTANDING THE BEST PLATFORMS FOR THE DESIGN OF HEALTH INTERVENTIONS IN TREATMENT AND REHABILITATION

AbstractEurope's healthcare systems are under strain with an ageing population contributing to increased risk of strokes. Rapid technology adaption is needed to prevent, rehabilitate and manage symptoms. This paper identifies what technology platforms are most familiar and accessible to stroke patients to guide designers and engineers to develop future interventions. A survey was distributed to 100 inpatients at a stroke unit, identifying patients' accessibility and usage of personal technologies. Results showed that desktop/laptops and smartphones were most used as opposed to tablets and smartwatches. Different technologies were used for different tasks with a notable lack of devices used for personal health. The underlying reasons for this are discussed with recommendations made on what personal technology platforms should be implemented by designers and engineers in technology-based health interventions.

The importance of content and choice in a technology-based intervention to increase HIV testing

ABSTRACT Although the Centers for Disease Control and Prevention recommends routine HIV testing in emergency departments and other facilities, many patients are never offered testing, and those who are offered testing frequently decline. In response, our team developed and evaluated a series of differently configured technology-based interventions to explore how we can most effectively increase HIV testing among reluctant patients. The current study examines how different videos (onscreen physician vs. onscreen community member), and different intervention configurations (enabling some participants to select a video while others are assigned to watch a video or to view bullet-point text), could potentially increase self-efficacy to test for HIV among patients who had never tested. Analyses of data from 285 emergency department patients in New York City who declined HIV testing offered by hospital staff indicated that participants reported highly significant differences in self-efficacy depending on their history of previous testing, whether they were enabled to select a video or were assigned a video, and which video they watched. Participants who reported no previous testing reported significantly lower pre-test self-efficacy compared to those who had tested at least once before. Among those who had not previously tested, the greatest pre-post increases in self-efficacy were reported by participants who were randomly enabled to select an intervention video and chose to watch video depicting a physician. Our findings highlight the importance, not only of intervention content, but how that content is delivered to specific participants. These findings may inform more effective technology-based behavioral health interventions.

Technology-based health solutions for cancer caregivers to better shoulder the impact of COVID-19: a systematic review protocol

BackgroundCancer patients are particularly vulnerable to COVID-19, partially owing to their compromised immune systems and curbed or cut cancer healthcare services caused by the pandemic. As a result, cancer caregivers may have to shoulder triple crises: the COVID-19 pandemic, pronounced healthcare needs from the patient, and elevated need for care from within. While technology-based health interventions have the potential to address unique challenges cancer caregivers face amid COVID-19, limited insights are available. Thus, to bridge this gap, we aim to identify technology-based interventions designed for cancer caregivers and report the characteristics and effects of these interventions concerning cancer caregivers' distinctive challenges amid COVID-19.MethodsA systematic search of the literature will be conducted in PubMed, PsycINFO, CINAHL, and Scopus from the database inception to the end of March 2021. Articles that center on technology-based interventions for cancer caregivers will be included in the review. The search strategy will be developed in consultation with an academic librarian who is experienced in systematic review studies. Titles, abstracts, and full-text articles will be screened against eligibility criteria developed a priori. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses procedures will be followed for the reporting process.ConclusionsCOVID-19 has upended cancer care as we know it. Findings of this study can shed light on evidence-based and practical solutions cancer caregivers can utilize to mitigate the unique challenges they face amid COVID-19. Furthermore, results of this study will also offer valuable insights for researchers who aim to develop interventions for cancer caregivers in the context of COVID-19. In addition, we also expect to be able to identify areas for improvement that need to be addressed in order for health experts to more adequately help cancer caregivers weather the storm of global health crises like COVID-19 and beyond. Systematic review registrationPROSPERO CRD42020196301

A Systematic Review of Technology-Based Prevention and Treatment Interventions for Perinatal Depression and Anxiety in Latina and African American Women.

Latina and African American women have elevated risk for perinatal depression and anxiety but have low rates of treatment engagement. Amid significant improvements in narrowing the digital divide, the number of technology-based mental health interventions has increased. A technology-based mode of delivery is important to consider because it can increase patient engagement and should inform program development. This review aimed to assess the mode of technology used for preventing and/or treating perinatal depression and anxiety in Latina and African American women, examine symptom management, and describe participant satisfaction. We used PubMed, CINAHL, PsycINFO, PsycARTICLES, EBSCO, and Social Services Abstracts to identify studies that used technology (e.g., smartphones) to prevent and/or treat depression and/or anxiety in Latina and/or African American perinatal women. To be eligible for inclusion, studies must have had at least 50% Latina and/or African American samples. The review was conducted between November 2018 and October 2019, with no set publication start date. Of 152 studies reviewed, six met the inclusion criteria. Four studies included African American women; two studies had samples that were mostly composed of Latina women. Three studies used telephone/smartphone (e.g., text messaging) and three implemented internet-based interventions. All studies addressed depression; one focused on anxiety. The findings demonstrated participant satisfaction and promise for symptom management. Despite the limited number of studies that used technology to engage Latina and African American perinatal women, the results suggest that these women were willing to participate in digital interventions to address perinatal depression and anxiety.

Evaluation of the Effectiveness of a Novel Brain-Computer Interface Neuromodulative Intervention to Relieve Neuropathic Pain Following Spinal Cord Injury: Protocol for a Single-Case Experimental Design With Multiple Baselines.

BackgroundNeuropathic pain is a debilitating secondary condition for many individuals with spinal cord injury. Spinal cord injury neuropathic pain often is poorly responsive to existing pharmacological and nonpharmacological treatments. A growing body of evidence supports the potential for brain-computer interface systems to reduce spinal cord injury neuropathic pain via electroencephalographic neurofeedback. However, further studies are needed to provide more definitive evidence regarding the effectiveness of this intervention.ObjectiveThe primary objective of this study is to evaluate the effectiveness of a multiday course of a brain-computer interface neuromodulative intervention in a gaming environment to provide pain relief for individuals with neuropathic pain following spinal cord injury.MethodsWe have developed a novel brain-computer interface-based neuromodulative intervention for spinal cord injury neuropathic pain. Our brain-computer interface neuromodulative treatment includes an interactive gaming interface, and a neuromodulation protocol targeted to suppress theta (4-8 Hz) and high beta (20-30 Hz) frequency powers, and enhance alpha (9-12 Hz) power. We will use a single-case experimental design with multiple baselines to examine the effectiveness of our self-developed brain-computer interface neuromodulative intervention for the treatment of spinal cord injury neuropathic pain. We will recruit 3 participants with spinal cord injury neuropathic pain. Each participant will be randomly allocated to a different baseline phase (ie, 7, 10, or 14 days), which will then be followed by 20 sessions of a 30-minute brain-computer interface neuromodulative intervention over a 4-week period. The visual analog scale assessing average pain intensity will serve as the primary outcome measure. We will also assess pain interference as a secondary outcome domain. Generalization measures will assess quality of life, sleep quality, and anxiety and depressive symptoms, as well as resting-state electroencephalography and thalamic γ-aminobutyric acid concentration.ResultsThis study was approved by the Human Research Committees of the University of New South Wales in July 2019 and the University of Technology Sydney in January 2020. We plan to begin the trial in October 2020 and expect to publish the results by the end of 2021.ConclusionsThis clinical trial using single-case experimental design methodology has been designed to evaluate the effectiveness of a novel brain-computer interface neuromodulative treatment for people with neuropathic pain after spinal cord injury. Single-case experimental designs are considered a viable alternative approach to randomized clinical trials to identify evidence-based practices in the field of technology-based health interventions when recruitment of large samples is not feasible.Trial RegistrationAustralian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12620000556943; https://bit.ly/2RY1jRx International Registered Report Identifier (IRRID)PRR1-10.2196/20979

Engaging Patients in Atrial Fibrillation Management via Digital Health Technology: The Impact of Tailored Messaging.

Patients with atrial fibrillation (AF) demonstrate persistent knowledge gaps regarding their condition and a substandard adherence to oral anticoagulant (OAC) medication, which contribute to thromboembolic stroke and other clot-related complications. Tailored patient education and medication reminders may help reduce these negative health outcomes. We sought to improve disease knowledge and medication adherence among a sample of AF patients using tailored education and nudges. The intervention leveraged three digital health technologies: a patient portal, an electronic-prescribing data feed, and a smart pill bottle. The content of the educational messaging, nudges, and cadence were tailored according to findings from our user-centered design studies and delivered via a patient portal (MyChart®; Epic Systems, Verona, WI, USA), with which participants were familiar. In a six-month randomized controlled trial with parallel groups, we used MyChart® to send educational messages and medication reminders according to a decision tree that emerged from our prior user-centered design studies. The intervention group demonstrated higher AF knowledge at study completion than the control group and more MyChart® logins throughout the trial, suggesting intervention uptake. Women were more adherent than men and patients diagnosed more than one year ago were more adherent than those with more recent diagnoses. The intervention and control group adherence rates were 93.1% and 89.5%, respectively; intervention effect was moderated by age, medication type, and prior MyChart® use. Within the intervention group, younger patients, those taking once-daily rivaroxaban, and those who were less active MyChart® users prior to the study benefited relative to their control group counterparts. Tailored educational and reminder messages contributed to increased adherence and disease knowledge among AF patients, though certain patient characteristics moderated the intervention’s effectiveness. Technology-based health interventions can be useful for older adults with effective tailoring and training.

Engagement and Clinical Improvement Among Older Adult Primary Care Patients Using a Mobile Intervention for Depression and Anxiety: Case Studies.

BackgroundTechnology-based mental health interventions are an increasingly attractive option for expanding access to mental health services within the primary care system. Older adults are among the groups that could potentially benefit from the growing ubiquity of technology-based mental health interventions; however, older adults are perceived to be averse to using technology and have reported barriers to use.ObjectiveThe aim of this paper is to present a case study of 3 participants from a clinical trial evaluating IntelliCare, an evidence-based mobile intervention for depression and anxiety, among adults recruited from primary care clinics. Our report of these 3 participants, who were aged 60 years or older, focuses on their engagement with the IntelliCare service (ie, app use, coach communication) and clinical changes in depression or anxiety symptoms over the intervention period.MethodsThe 3 case study participants were offered IntelliCare with coaching for 8 weeks. The intervention consisted of 5 treatment intervention apps that support a variety of psychological skills, a Hub app that contained psychoeducational content and administered weekly assessments, and coaching for encouragement, accountability, and technical assistance as needed. The 3 case study participants were selected to reflect the overall demographics of participants within the trial and because their interactions with IntelliCare provided a good illustration of varied experiences regarding engagement with the intervention.ResultsThe 3 participants’ unique experiences with the intervention are described. Despite potential barriers and experiencing some technical glitches, the participants showed proficient ability to use the apps, high levels of participation through frequent app use and coach interaction, and decreased depression and anxiety scores. At the end of the 8-week intervention, each of these 3 participants expressed great enthusiasm for the benefit of this program through feedback to their coach, and they each identified a number of ways they had seen improvements in themselves.ConclusionsThese 3 cases provide examples of older individuals who engaged with and benefitted from the IntelliCare service. Although the results from these 3 cases may not generalize to others, they provide an important, informed perspective of the experiences that can contribute to our understanding of how older adults use and overcome barriers to mental health technologies. The findings also contribute toward the ultimate goal of ensuring that the IntelliCare intervention is appropriate for individuals of all ages.

The Adaptive Behavioral Components (ABC) Model for Planning Longitudinal Behavioral Technology-Based Health Interventions: A Theoretical Framework.

A growing number of interventions incorporate digital and social technologies (eg, social media, mobile phone apps, and wearable devices) into their design for behavior change. However, because of a number of factors, including changing trends in the use of technology over time, results on the efficacy of these interventions have been mixed. An updated framework is needed to help researchers better plan behavioral technology interventions by anticipating the needed resources and potential changes in trends that may affect interventions over time. Focusing on the domain of health interventions as a use case, we present the Adaptive Behavioral Components (ABC) model for technology-based behavioral interventions. ABC is composed of five components: basic behavior change; intervention, or problem-focused characteristics; population, social, and behavioral characteristics; individual-level and personality characteristics; and technology characteristics. ABC was designed with the goals of (1) guiding high-level development for digital technology–based interventions; (2) helping interventionists consider, plan for, and adapt to potential barriers that may arise during longitudinal interventions; and (3) providing a framework to potentially help increase the consistency of findings among digital technology intervention studies. We describe the planning of an HIV prevention intervention as a case study for how to implement ABC into intervention design. Using the ABC model to plan future interventions might help to improve the design of and adherence to longitudinal behavior change intervention protocols; allow these interventions to adapt, anticipate, and prepare for changes that may arise over time; and help to potentially improve intervention behavior change outcomes. Additional research is needed on the influence of each of ABC’s components to help improve intervention design and implementation.

Systematic Review of Technology-Based Interventions Targeting Chronically Ill Adults and Their Caregivers.

The purpose of this systematic review is to synthesize the study design features as well as the attributes and outcomes of technology-based health interventions targeting chronically ill adults and their family caregivers. Twenty papers representing 19 studies met the inclusion criteria. Various theoretical foundations or approaches guided the interventions in 11 studies. Interventions either aimed to support patient self-management and improve patient outcomes or enhance shared illness management and improve patient and caregiver outcomes. The interventions included educational, behavioral, and support components and were delivered using various technologies ranging from text messaging to using the Internet. Overall, patients and caregivers expressed improvements in self-management outcomes (or support) and quality of life. Interventions with a dyadic focus reported on interpersonal outcomes, with improvements noted mostly in patients. This review captures an emerging area of science, and findings should be interpreted in light of the methodological limitations of the included studies.