Variations in the Use of mHealth Tools: The VA Mobile Health Study

Mobile Health Apps, Family Caregivers, and Care Planning: Scoping Review

BACKGROUND

People living with multiple chronic conditions (MCCs) face substantial challenges in planning and coordinating increasingly complex care. Family caregivers provide important assistance for people with MCCs but lack sufficient support. Caregiver apps have the potential to help by enhancing care coordination and planning among the health care team, including patients, caregivers, and clinicians.

OBJECTIVE

We aim to conduct a scoping review to assess the evidence on the development and use of caregiver apps that support care planning and coordination, as well as to identify key factors (ie, needs, barriers, and facilitators) related to their use and desired caregiver app functionalities.

METHODS

Papers intersecting 2 major domains, mobile health (mHealth) apps and caregivers, that were in English and published from 2015 to 2021 were included in the initial search from 6 databases and gray literature and ancestry searches. As per JBI (Joanna Briggs Institute) Scoping Review guidelines and PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews), 2 authors independently screened full texts with disagreements resolved by a third author. Working in pairs, the authors extracted data using a pilot-tested JBI extraction table and compared results for consensus.

RESULTS

We identified 34 papers representing 25 individual studies, including 18 (53%) pilot and feasibility studies, 13 (38%) qualitative studies, and 2 experimental or quasi-experimental studies. None of the identified studies assessed an intervention of a caregiver app for care planning and coordination for people with MCCs. We identified important caregiver needs in terms of information, support, and care coordination related to both caregiving and self-care. We compiled desired functionalities and features enabling apps to meet the care planning and care coordination needs of caregivers, in particular, the integration of caregiver roles into the electronic health record.

CONCLUSIONS

Caregiver needs identified through this study can inform developers and researchers in the design and implementation of mHealth apps that integrate with the electronic health record to link caregivers, patients, and clinicians to support coordinated care for people with MCCs. In addition, this study highlights the need for more rigorous research on the use of mHealth apps to support caregivers in care planning and coordination.

Use of mobile applications and health technologies among dementia caregivers with chronic conditions: A cross-sectional study

Objective

Almost 80% of people, who are caring for someone with dementia, have one or more chronic conditions and require self-management support. New technologies offer promising solutions; however, little is known about what technologies caregivers use for their health or in general. This study aimed to describe the prevalence of mobile application (app) and health-related technology use among caregivers who have chronic conditions and care for someone with dementia.

Methods

A cross-sectional study was conducted with 122 caregivers recruited online and from communities in the Baltimore-metropolitan area. Data were collected with online surveys and computer-assisted telephone interviews. Descriptive and inferential statistics were used to analyze survey data.

Results

Study participants were primarily female (95 of 122, 77.9%), middle-aged (average 53 years, standard deviation (SD) 17), well educated (average 16 years, SD 3.3), an adult child of the person with dementia (53 of 122, 43.4%), and had 4 chronic conditions on average (SD 2.6). Over 90% of caregivers used mobile apps (116 of 122), spending a range of 9 to 82 min on each app. Most caregivers reported using social media apps (96 of 116, 82.8%), weather apps (96 of 116, 82.8%), and/or music or entertainment apps (89 of 116, 76.7%). Among caregivers using each app type, more than half of caregivers used social media (66 of 96, 69%), games (49 of 74, 66%), weather (62 of 96, 65%), and/or music or entertainment apps (51 of 89, 57%) daily. Caregivers also used several technologies to support their own health-the most common being websites, mobile devices, and health-related mobile apps.

Conclusion

This study supports the feasibility of using technologies to promote health behavior change and support self-management among caregivers.

Evaluating mobile Health technology use among cancer caregivers in the digital era

Introduction

Digital health technology-based interventions have the potential to support cancer caregivers in caregiving responsibilities and in managing their own health and well-being. The objective of this study was to examine the association between caregiving characteristics and different types of digital health technologies used in a national sample of caregivers of patients undergoing hematopoietic cell transplantation (HCT).

Methods

We conducted an online, cross-sectional survey of 948 HCT caregivers.

Results

Spousal caregivers comprised nearly one-third of respondents (27.1%) with a median age of 59 years (range: 18-80 years), compared with parents (32.9%: 38 years), adult children (28.9%: 38 years), and other (11.1%; e.g. friend, other family member: 36 years). Almost two-thirds (65.4%) of all respondents reported using an app for fitness or step counting and 41.3% reported using a smartwatch. However, spousal caregivers were the least likely group to use mobile apps (0.72; P < 0.005) or smartwatches (OR = 0.46; P < 0.005) compared with parent caregivers in models adjusted for demographics and coping style. Caregiving for six months or greater was associated with the use of fewer apps compared with caregiving for less than six months in adjusted models (OR = 0.80, P < 0.005). Caregivers of patients receiving an allogeneic transplant (i.e. non-self-donor) used more apps on average than caregivers of patients receiving an autologous transplant (i.e. self-donor) in adjusted models (OR = 1.36, P < 0.005).

Conclusion

Digital health technologies reflect promising avenues for supporting cancer caregivers. While digital technologies are becoming increasingly pervasive, older caregivers remain an underserved population. Future research should integrate older adult caregivers in the co-design and development activities of technology-driven caregiver support products.

Factors Associated With Intention to Adopt mHealth Apps Among Dementia Caregivers With a Chronic Condition: Cross-sectional, Correlational Study

Background

In the United States, nearly 80% of family caregivers of people with dementia have at least one chronic condition. Dementia caregivers experience high stress and burden that adversely affect their health and self-management. mHealth apps can improve health and self-management among dementia caregivers with a chronic condition. However, mHealth app adoption by dementia caregivers is low, and reasons for this are not well understood.

Objective

The purpose of this study is to explore factors associated with dementia caregivers’ intention to adopt mHealth apps for chronic disease self-management.

Methods

We conducted a cross-sectional, correlational study and recruited a convenience sample of dementia caregivers. We created a survey using validated instruments and collected data through computer-assisted telephone interviews and web-based surveys. Before the COVID-19 pandemic, we recruited dementia caregivers through community-based strategies, such as attending community events. After nationwide closures due to the pandemic, the team focused on web-based recruitment. Multiple logistic regression analyses were used to test the relationships between the independent and dependent variables.

Results

Our sample of 117 caregivers had an average age of 53 (SD 17.4) years, 16 (SD 3.3) years of education, and 4 (SD 2.5) chronic conditions. The caregivers were predominantly women (92/117, 78.6%) and minorities (63/117, 53.8%), experienced some to extreme income difficulties (64/117, 54.7%), and were the child or child-in-law (53/117, 45.3%) of the person with dementia. In logistic regression models adjusting for the control variables, caregiver burden (odds ratio [OR] 1.3, 95% CI 0.57-2.8; P=.57), time spent caregiving per week (OR 1.7, 95% CI 0.77-3.9; P=.18), and burden of chronic disease and treatment (OR 2.3, 95% CI 0.91-5.7; P=.08) were not significantly associated with the intention to adopt mHealth apps. In the final multiple logistic regression model, only perceived usefulness (OR 23, 95% CI 5.6-97; P<.001) and the interaction term for caregivers’ education and burden of chronic disease and treatment (OR 31, 95% CI 2.2-430; P=.01) were significantly associated with their intention to adopt mHealth apps. Perceived ease of use (OR 2.4, 95% CI 0.67-8.7; P=.18) and social influence (OR 1.8, 95% CI 0.58-5.7; P=.31) were not significantly associated with the intention to adopt mHealth apps.

Conclusions

When designing mHealth app interventions for dementia caregivers with a chronic condition, it is important to consider caregivers’ perceptions about how well mHealth apps can help their self-management and which app features would be most useful for self-management. Caregiving factors may not be relevant to caregivers’ intention to adopt mHealth apps. This is promising because mHealth strategies may overcome barriers to caregivers’ self-management. Future research should investigate reasons why caregivers with a low education level and low burden of chronic disease and treatment have significantly lower intention to adopt mHealth apps for self-management.

Patient characteristics associated with objective measures of digital health tool use in the United States: A literature review

OBJECTIVE

The study sought to determine which patient characteristics are associated with the use of patient-facing digital health tools in the United States.

MATERIALS AND METHODS

We conducted a literature review of studies of patient-facing digital health tools that objectively evaluated use (eg, system/platform data representing frequency of use) by patient characteristics (eg, age, race or ethnicity, income, digital literacy). We included any type of patient-facing digital health tool except patient portals. We reran results using the subset of studies identified as having robust methodology to detect differences in patient characteristics.

RESULTS

We included 29 studies; 13 had robust methodology. Most studies examined smartphone apps and text messaging programs for chronic disease management and evaluated only 1-3 patient characteristics, primarily age and gender. Overall, the majority of studies found no association between patient characteristics and use. Among the subset with robust methodology, white race and poor health status appeared to be associated with higher use.

DISCUSSION

Given the substantial investment in digital health tools, it is surprising how little is known about the types of patients who use them. Strategies that engage diverse populations in digital health tool use appear to be needed.

CONCLUSION

Few studies evaluate objective measures of digital health tool use by patient characteristics, and those that do include a narrow range of characteristics. Evidence suggests that resources and need drive use.

Intention to Adopt mHealth Apps Among Informal Caregivers: Cross-Sectional Study

Background

Caregiving responsibility can change caregivers’ lives; modify their emotions; and make them feel frustrated, fearful, and nervous, thereby imposing physical and mental stress. Caregiving-related mobile apps provide a platform for obtaining valuable and trusted information, connecting more easily with other caregivers, monitoring medications, and managing appointments, and assessing health requirements and conditions of care receivers. Such apps also incorporate valuable resources that address care for the caregivers. Despite the potential benefits of caregiving-related apps, only a limited number of caregivers have adopted and used them.

Objective

The aim of this study is to explore the important factors that affect caregivers’ intentions to integrate related mobile apps into their routine caregiving responsibilities.

Methods

Using the protection motivation theory, we conducted a cross-sectional study among 249 participants. Purposive sampling was used to target participants who met 4 inclusion criteria: US residents, owning and using a smartphone, informal caregivers (individuals who give care to a friend or family member without payment) who provided at least 8 hours of care per week in the past year, and those currently not using any mobile app for caregiving purposes. We created a survey using Qualtrics and posted it on Amazon’s Mechanical Turk website. Participants received monetary compensation after successful completion of the survey.

Results

We found that capabilities and skills of caregivers to use mobile apps, the app’s effectiveness in responding to the needs of caregivers, the degree of control of caregivers over their responsibilities, and the decisions they make for their care receivers can predict their willingness to adopt caregiving-related apps. In addition, the severity of health status and vulnerability of care receivers to unexpected health changes indirectly shape their caregivers’ decisions to adopt and use mobile apps for caregiving purposes.

Conclusions

This study explores the important factors that affect informal caregivers’ intentions to adopt related mobile apps into their routine caregiving responsibilities. The results contribute to both mobile health adoption and the caregiving literature, and they offer significant implications for developers, health care practitioners, and policy makers.

Opportunities for and Tensions Surrounding the Use of Technology-Enabled Mental Health Services in Community Mental Health Care

Technology-enabled mental health services have the potential to expand the reach of care and reduce clinician demand. While the efficacy of technology-enabled mental health services is well established, there have been few successful implementations of such services into community care settings. Using mixed methods, 89 clinicians and supervisors at a mental health service organization shared attitudes toward and interest in using a variety of technologies in their work. Participants discussed several challenges and opportunities for technology-enabled mental health services. Whilst clinicians saw potential for technology to engage individuals both in and outside the clinical environment, the range of therapeutic techniques used by clinicians presented a challenge in implementing a tool to meet their needs. Client technology access was a concern, and although text messaging would facilitate communication, current HIPAA and payment structures restrict this ability. With these considerations, we offer recommendations for implementing technological services in community mental health organizations.

Mobile Applications for Caregivers of Individuals with Chronic Conditions and/or Diseases: Quantitative Content Analysis

BACKGROUND

Mobile health applications can help empowering caregivers and promote their wellbeing and their quality of life.

OBJECTIVE

To analyze the technical and functional characteristics of mobile health applications designed for caregivers of individuals with chronic conditions and/or diseases.

MATERIALS AND METHODS

Systematic search of mobile health applications for smartphones (apps) based on the PRISMA standard for systematic reviews on the App Store and Google Play store during May and June 2018. A second search was carried out on the Pubmed and Google Scholar database to determine whether the applications had been tested or evaluated with results published in scientific journals and then a third search was performed on the Spanish health apps catalogs to evaluate the quality and security of the selected apps.

RESULTS

746 available health apps were identified and 43 were included in this paper. 67% (n = 29) of the apps were aimed exclusively at informal caregivers, 51% (n = 22) were designed to support caregivers and only 21% (n = 9) of them provided any sort of social or emotional support. The screening in Pubmed and Google Scholar determined that the apps analyzed lacked published papers and most of the apps (84%; n = 36) lacked approval from official agencies supporting their usage.

DISCUSSION

The apps available on the market that meet the actual needs of caregivers are limited. Most of the apps were aimed at improving the care of the individual with a chronic illness.

CONCLUSION

Despite the remarkable benefits of mHealth regarding the care of chronic diseases, a relatively poor contribution has been made to support caregivers. Customized apps, interventions assessing their effectiveness and adequate evidence are needed to understand the impact of this digital tool on caregivers' health.

Digital Mental Health Tools for Caregivers of Older Adults-A Scoping Review

Aim: Informal caregivers have an important role in bridging the gap between the assistance care recipients need and what can be provided by the health care systems across Europe. The burden of the caregiving role places a significant threat to caregiver health, and the vast majority of caregiver's report stress and emotional strain, depression, and increased rates of chronic diseases. In line with this, strengthening the caregiver's mental health is one of the main goals for optimal caregiving. Caregivers already struggle with the demand of their role while coping with health problems, social, family, and work obligations. The solution for the caregiver's mental health needs to be accessible, low cost, and time-effective. This scoping review investigates digital mental health tools available as a mean of supporting the mental health of caregivers.

Method: Databases searched include Summon search box, the Cochrane Library, and PubMed. Three groups of keywords were combined: relating to digital mental health interventions for caregivers, digital mental health interventions and stress in elderly care, and digital mental health interventions and burden in elderly care.

Results: Caregivers reported that digital mental health tools have an overall positive role in their health. Coping skills, emotion regulation, skill building, and education are found to be important aspects of digital mental health tools. There was a noted lack of digital mental health apps available specifically for the caregiver of older adults. Furthermore, the digital mental health tools, divided into three categories in this review, focused either on building skills or educating caregivers and assisting with the duties rather than the mental health of the caregiver itself. As repeatedly suggested in the reviewed studies, digital mental health interventions overall contribute to reducing the caregiver burden with a limitation of addressing one aspect of caregiver needs –i.e., specific coping skills or education regarding illnesses such as Alzheimer's disease and Dementia. The lack of all-encompassing, data and theory-driven digital mental health tools for addressing and supporting the caregiver's mental health is evident.

Internet-Based Pain Self-Management for Veterans: Feasibility and Preliminary Efficacy of the Pain EASE Program

OBJECTIVE

To develop and test the feasibility and preliminary efficacy of a cognitive behavioral therapy-based, internet-delivered self-management program for chronic low back pain (cLBP) in veterans.

METHODS

Phase I included program development, involving expert panel and participant feedback. Phase II was a single-arm feasibility and preliminary efficacy study of the Pain e-health for Activity, Skills, and Education (Pain EASE) program. Feasibility (ie, website use, treatment credibility, satisfaction) was measured using descriptive methods. Mixed models were used to assess mean within-subject changes from baseline to 10 weeks post-baseline in pain interference (primary outcome, West Haven-Yale Multidimensional Pain Inventory, scale of 0 to 6), pain intensity, mood, fatigue, sleep, and depression.

RESULTS

Phase I participants (n = 15) suggested modifications including style changes, content reduction, additional "Test Your Knowledge" quizzes, and cognitive behavioral therapy skill practice monitoring form revisions for enhanced usability. In Phase II, participants (n = 58) were mostly male (93%) and White (60%), and had an average age of 55 years (standard deviation [SD] = 12) and moderate pain (mean score 5.9/10); 41 (71%) completed the post-baseline assessment. Participants (N = 58) logged on 6.1 (SD = 8.6) times over 10 weeks, and 85% reported being very or moderately satisfied with Pain EASE. Pain interference improved from a mean of 3.8 at baseline to 3.3 at 10 weeks (difference 0.5 [95% confidence interval 0.1 to 0.9], P = 0.008). Within-subject improvement also occurred for some secondary outcomes, including mood and depression symptoms.

DISCUSSION

Veterans with cLBP may benefit from technology-delivered interventions, which may also reduce pain interference. Overall, veterans found that Pain EASE, an internet-based self-management program, is feasible and satisfactory for cLBP.

Efficacy of mobile application interventions for the treatment of post-traumatic stress disorder: A systematic review

Background

Many adults with post-traumatic stress disorder (PTSD) are unable to access healthcare services for treatment due to logistical, social, and attitudinal barriers. Interventions delivered via mobile applications (apps) may help overcome these barriers.

Objective

The aim of this study is to systematically evaluate the most recent evidence from trials investigating the efficacy of mobile apps for treating PTSD.

Methods

PubMed, Web of Science, Embase, PsycINFO, and Medline were searched in February 2018. Randomised controlled trials (RCTs) were included if they quantitatively evaluated the efficacy of a mobile app for treating PTSD as part of the primary aim. Findings were presented in a narrative synthesis.

Results

In the five identified RCTs, the use of app-based interventions appeared to be associated with reductions in PTSD symptoms. However, the strength of evidence for this association appeared to be inconsistent, and there was little evidence that those using the apps experienced greater reductions in PTSD symptoms than those in control conditions. Nonetheless, there was some evidence that app-based interventions are both a feasible and acceptable treatment pathway option.

Conclusions

Included studies were often limited by small sample sizes, brief intervention, and follow-up periods, and self-reported measures of PTSD. Evidence for the efficacy of mobile interventions for treating PTSD was inconclusive, but promising. Healthcare professionals should exercise caution in recommending app-based interventions until the potentially adverse effects of app use are better understood and larger-scale studies have taken place.

Caregiver Communication About Cancer: Development of a mhealth resource to support family caregiver communication burden

OBJECTIVE

The aim of this study is to illustrate an evidence-based and theoretically informed mhealth resource (smartphone app) designed to provide communication support for informal cancer caregivers (friends or family members).

METHODS

An eight-step process was conducted: (a) review of existing print resources, (b) selection of theoretical framework for content development, (c) integration of stakeholder feedback and literacy assessment into an alpha print model, (d) review of existing mhealth resources, (e) development of prototype, (f) assessment of caregiver acceptability (n = 5), (g) assessment of quality and perceived impact by cancer providers (n = 26), and (h) acceptability testing with caregivers (n = 6).

RESULTS

Key stakeholders were integrated throughout development and user testing of this iOS smartphone app. The smartphone app consists of talking tips and resources for caregiver communication with the patient, family, far away family, and health care providers, as well as general information sharing features.

CONCLUSIONS

This study demonstrates feasibility and development of an evidence-based and theory-driven mhealth resource to support caregiver communication about cancer. This is the first theory-driven mhealth application created to support the communication burden experienced by cancer caregivers. A larger study is needed to establish the efficacy of the app as an intervention for caregivers.

A Library of Analytic Indicators to Evaluate Effective Engagement with Consumer mHealth Apps for Chronic Conditions: Scoping Review

Background

There is mixed evidence to support current ambitions for mobile health (mHealth) apps to improve chronic health and well-being. One proposed explanation for this variable effect is that users do not engage with apps as intended. The application of analytics, defined as the use of data to generate new insights, is an emerging approach to study and interpret engagement with mHealth interventions.

Objective

This study aimed to consolidate how analytic indicators of engagement have previously been applied across clinical and technological contexts, to inform how they might be optimally applied in future evaluations.

Methods

We conducted a scoping review to catalog the range of analytic indicators being used in evaluations of consumer mHealth apps for chronic conditions. We categorized studies according to app structure and application of engagement data and calculated descriptive data for each category. Chi-square and Fisher exact tests of independence were applied to calculate differences between coded variables.

Results

A total of 41 studies met our inclusion criteria. The average mHealth evaluation included for review was a two-group pretest-posttest randomized controlled trial of a hybrid-structured app for mental health self-management, had 103 participants, lasted 5 months, did not provide access to health care provider services, measured 3 analytic indicators of engagement, segmented users based on engagement data, applied engagement data for descriptive analyses, and did not report on attrition. Across the reviewed studies, engagement was measured using the following 7 analytic indicators: the number of measures recorded (76%, 31/41), the frequency of interactions logged (73%, 30/41), the number of features accessed (49%, 20/41), the number of log-ins or sessions logged (46%, 19/41), the number of modules or lessons started or completed (29%, 12/41), time spent engaging with the app (27%, 11/41), and the number or content of pages accessed (17%, 7/41). Engagement with unstructured apps was mostly measured by the number of features accessed (8/10, P=.04), and engagement with hybrid apps was mostly measured by the number of measures recorded (21/24, P=.03). A total of 24 studies presented, described, or summarized the data generated from applying analytic indicators to measure engagement. The remaining 17 studies used or planned to use these data to infer a relationship between engagement patterns and intended outcomes.

Conclusions

Although researchers measured on average 3 indicators in a single study, the majority reported findings descriptively and did not further investigate how engagement with an app contributed to its impact on health and well-being. Researchers are gaining nuanced insights into engagement but are not yet characterizing effective engagement for improved outcomes. Raising the standard of mHealth app efficacy through measuring analytic indicators of engagement may enable greater confidence in the causal impact of apps on improved chronic health and well-being.

A review of privacy and usability issues in mobile health systems: Role of external factors

The increased penetration of mobile devices has created opportunities in the health sector and led to emerging of mobile health systems. As much as the mobile health systems have registered tremendous progress, they have been faced with privacy and usability issues. Due to the sensitivity of health information, there is an ethical need to equip mobile health systems with adequate privacy measures. However, these systems should also be useable by the intended users. Even though many researchers are working on solutions, the issues still persist. External factors such as cultural differences have also contributed to the issues, yet they have been under researched. In this article, we conduct a systematic literature review of 22 articles, categorize and present privacy and usability issues and possible solutions. We then discuss the relevance and implications of external factors to the findings on privacy and usability. We end with recommendations to address these external factors.

The efficacy of smartphone-based mental health interventions for depressive symptoms: a meta-analysis of randomized controlled trials

The rapid advances and adoption of smartphone technology presents a novel opportunity for delivering mental health interventions on a population scale. Despite multi-sector investment along with wide-scale advertising and availability to the general population, the evidence supporting the use of smartphone apps in the treatment of depression has not been empirically evaluated. Thus, we conducted the first meta-analysis of smartphone apps for depressive symptoms. An electronic database search in May 2017 identified 18 eligible randomized controlled trials of 22 smartphone apps, with outcome data from 3,414 participants. Depressive symptoms were reduced significantly more from smartphone apps than control conditions (g=0.38, 95% CI: 0.24-0.52, p<0.001), with no evidence of publication bias. Smartphone interventions had a moderate positive effect in comparison to inactive controls (g=0.56, 95% CI: 0.38-0.74), but only a small effect in comparison to active control conditions (g=0.22, 95% CI: 0.10-0.33). Effects from smartphone-only interventions were greater than from interventions which incorporated other human/computerized aspects along the smartphone component, although the difference was not statistically significant. The studies of cognitive training apps had a significantly smaller effect size on depression outcomes (p=0.004) than those of apps focusing on mental health. The use of mood monitoring softwares, or interventions based on cognitive behavioral therapy, or apps incorporating aspects of mindfulness training, did not affect significantly study effect sizes. Overall, these results indicate that smartphone devices are a promising self-management tool for depression. Future research should aim to distil which aspects of these technologies produce beneficial effects, and for which populations.