mHealth Technology Use and Implications in Historically Underserved and Minority Populations in the United States: Systematic Literature Review

George SM, Agosto Y, Rothenberg WA, Howe E, Velasquez C, Mansoor E, Garcia EG, Bulotsky-Shearer RJ, Natale R. Virtual robotic telepresence early childhood mental health consultation to childcare centers in the aftermath of COVID-19: training approaches and perceived acceptability and usefulness

Introduction

Childcare center closures during COVID-19 impacted education for approximately 40 million children nationwide. Unfortunately, COVID-19 restrictions significantly limited the extent that outside personnel could provide in-person support to educators, resulting in the need for innovative approaches to meet childcare centers' needs. A virtual robotic telepresence approach was applied to early childhood consultation models to promote child resilience while mitigating COVID-19 risks. The goal of this study was to examine how training influenced consultants' and childcare staff uptake of the virtual robotic telepresence consultation approach and their acceptance of this technology.

Methods

Ten early childhood consultants received multimedia/simulation training and weekly communities of practice related to virtual telepresence robotic consultation. Telepresence robotic consultation equipment was deployed to 16 childcare centers in a diverse multilingual metropolitan area as a part of a larger randomized controlled trial. Consultants trained childcare staff (14 center directors and 58 teachers) on how to receive virtual telepresence robotic consultation. Demographic information and measures of technology acceptability and uptake were collected from childcare staff and consultants. A mixed methods approach was used including multilevel modeling and focus groups to examine consultation uptake, acceptability, barriers, and facilitators of virtual telepresence robotic consultation implementation.

Results

Consultants and childcare staff generally perceived the virtual telepresence consultation approach to be useful and easy to use. Consultant perceptions of the acceptability of technology did not change over time. Childcare staff, center, and consultant factors impacted the uptake of the virtual robotic telepresence consultation approach and childcare staff acceptance of the technology. Focus groups revealed that consultants believed that additional hands-on training with childcare staff would have benefited implementation and expressed a desire for a hybrid approach for consultation.

Discussion

Perceptions of telepresence robotic consultation acceptability are discussed, including future recommendations for training.

Effects of a medication adherence app among medically underserved adults with chronic illness: a randomized controlled trial

For individuals living with a chronic illness who require use of long-term medications, adherence is a vital aspect of successful symptom management and outcomes. This study investigated the effect of a smartphone app on adherence, self-efficacy, knowledge, and medication social support in a medically underserved adult population with various chronic illnesses. Participants were randomized to a group who used the app for one month or a control group provided with a printed medication list. Compared to the control group, participants receiving the intervention had significantly greater medication adherence (Cohen's d = -0.52, p = .014) and medication self-efficacy (Cohen's d = 0.43, p = .035). No significant effects were observed related to knowledge or social support. The findings suggest use of the app could positively impact chronic disease management in a medically underserved population in the United States.

Representation of marginalised populations in digital surveillance for notifiable conditions in Australia: a systematic review

AIM

This study aims to establish whether digital surveillance methods for notifiable diseases in Australia collect and report data in relation to marginalised populations.

METHODS

The literature was systematically reviewed to identify primary research studies published between January 2005 and July 2023. Studies were included if they described an Australian digital surveillance system for notifiable conditions. The results were synthesised with a focus on evaluating the collection and reporting of data in relation to marginalised populations.

RESULTS

A total of 13 articles reporting on seven surveillance systems were identified. Influenza and adverse events following immunisation were the two most common notifiable conditions monitored. A total of six surveillance systems encompassing 16 articles reported information on sub-populations. Of these, three surveillance systems (nine articles) included data on marginalised populations.

CONCLUSION

The data collected or reported in relation to sub-groups that characterise diversity in terms of health care needs, access, and marginalised populations are minimal. It is recommended that a set of equity and reporting principles is established for the future creation and use of any digital surveillance system.

Kids SIPsmartER reduces sugar-sweetened beverages among Appalachian middle-school students and their caregivers: a cluster randomized controlled trial

BACKGROUND

High consumption of sugar-sweetened beverages (SSB) is a global health concern. Additionally, sugar-sweetened beverage (SSB) consumption is disproportionately high among adolescents and adults in rural Appalachia. The primary study objective is to determine the intervention effects of Kids SIPsmartER on students' SSB consumption. Secondary objectives focus on caregivers' SSB consumption and secondary student and caregiver outcomes [e.g, body mass index (BMI), quality of life (QOL)].

METHODS

This Type 1 hybrid, cluster randomized controlled trial includes 12 Appalachian middle schools (6 randomized to Kids SIPsmartER and 6 to control). Kids SIPsmartER is a 6-month, 12 lesson, multi-level, school-based, behavior and health literacy program aimed at reducing SSB among 7th grade middle school students. The program also incorporates a two-way text message strategy for caregivers. In this primary prevention intervention, all 7th grade students and their caregivers from participating schools were eligible to participate, regardless of baseline SSB consumption. Validated instruments were used to assess SSB behaviors and QOL. Height and weight were objectively measured in students and self-reported by caregivers. Analyses included modified two-part models with time fixed effects that controlled for relevant demographics and included school cluster robust standard errors.

RESULTS

Of the 526 students and 220 caregivers, mean (SD) ages were 12.7 (0.5) and 40.6 (6.7) years, respectively. Students were 55% female. Caregivers were mostly female (95%) and White (93%); 25% had a high school education or less and 33% had an annual household income less than $50,000. Regardless of SSB intake at baseline and relative to control participants, SSB significantly decreased among students [-7.2 ounces/day (95% CI = -10.7, -3.7); p < 0.001, effect size (ES) = 0.35] and caregivers [-6.3 ounces/day (95% CI = -11.3, -1.3); p = 0.014, ES = 0.33]. Among students (42%) and caregivers (28%) who consumed > 24 SSB ounces/day at baseline (i.e., high consumers), the ES increased to 0.45 and 0.95, respectively. There were no significant effects for student or caregiver QOL indicators or objectively measured student BMI; however, caregiver self-reported BMI significantly decreased in the intervention versus control schools (p = 0.001).

CONCLUSIONS

Kids SIPsmartER was effective at reducing SSB consumption among students and their caregivers in the rural, medically underserved Appalachian region. Importantly, SSB effects were even stronger among students and caregivers who were high consumers at baseline.

TRIAL REGISTRATION

Clincialtrials.gov: NCT03740113. Registered 14 November 2018- Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT03740113 .

Designing mHealth Apps to Incorporate Evidence-Based Techniques for Prolonging User Engagement

Maintaining user engagement with mobile health (mHealth) apps can be a challenge. Previously, we developed a conceptual model to optimize patient engagement in mHealth apps by incorporating multiple evidence-based methods, including increasing health literacy, enhancing technical competence, and improving feelings about participation in clinical trials. This viewpoint aims to report on a series of exploratory mini-experiments demonstrating the feasibility of testing our previously published engagement conceptual model. We collected data from 6 participants using an app that showed a series of educational videos and obtained additional data via questionnaires to illustrate and pilot the approach. The videos addressed 3 elements shown to relate to engagement in health care app use: increasing health literacy, enhancing technical competence, and improving positive feelings about participation in clinical trials. We measured changes in participants' knowledge and feelings, collected feedback on the videos and content, made revisions based on this feedback, and conducted participant reassessments. The findings support the feasibility of an iterative approach to creating and refining engagement enhancements in mHealth apps. Systematically identifying the key evidence-based elements intended to be included in an app's design and then systematically testing the implantation of each element separately until a satisfactory level of positive impact is achieved is feasible and should be incorporated into standard app design. While mHealth apps have shown promise, participants are more likely to drop out than to be retained. This viewpoint highlights the potential for mHealth researchers to test and refine mHealth apps using approaches to better engage users.

Mental Health and Well-Being in Racial or Ethnic Minority Individuals After Using a Faith and Prayer Mobile App (Pray.com): Feasibility and Preliminary Efficacy Trial

BACKGROUND

Research is needed on how faith and prayer apps fit within the values of racial and ethnic minority (REM) groups, as well as whether such apps are effective in promoting mental health and well-being.

OBJECTIVE

This study aims to determine the feasibility and preliminary effectiveness of using the mobile app Pray.com on mental health and well-being among REM participants.

METHODS

This study was a single-group (N=77), 4-week feasibility trial in REM groups (65/77, 84% Black or African American). Participants were asked to use the Pray.com app at no cost for at least 5 times per week for 5 minutes per day. Participants completed questionnaires at the baseline and postintervention time points. Feasibility questionnaires were only completed at the postintervention time point, including qualitative interviews (n=15). The feasibility questions included acceptability (ie, satisfaction, intent to continue use, perceived appropriateness, and fit within culture), demand (ie, self-reported app use, expressed interest, and perceived demand), and practicality (ie, ease or difficulty of use, ability to use the app, and cost-effectiveness). Frequency and descriptive statistics were used to analyze feasibility outcomes. Changes in dependent variables were analyzed using paired-sample 2-tailed t tests. Partial correlations were conducted to explore the association between app use and outcomes, controlling for baseline scores.

RESULTS

Participants reported (54/72, 75% responded with "very likely" or "likely" to the feasibility questions) that they perceived the Pray.com app as acceptable. These findings were supported by qualitative interviews (n=15). Most participants (62/72, 86%) did not meet the app use prescription but expressed interest in using the app in the future and perceived demand for it in their communities. In addition, participants reported that the app was easy to use and perceived it to be inexpensive (US $7.99). Participants reported improved mental health (ie, stress and depressive and anxiety symptoms) and well-being (ie, satisfaction with life, spiritual well-being, religious commitment, and racial or ethnic identity development) at postintervention despite relatively low average levels and high variability of app use (average total of 45.83, SD 111.90 min over the course of the study). Greater app use was significantly associated with improvements in mental health and spiritual well-being. However, app use and study methodology limitations suggest that the study results may not accurately capture the full impact of Pray.com use.

CONCLUSIONS

This is the first study to assess the feasibility of a faith and prayer app for mental health and well-being in a sample of REM individuals. Our findings suggest that the use of a faith and prayer app (ie, Pray.com) could be feasible and significantly impactful for the improvement of mental health symptoms and well-being in REM individuals and their communities, especially Black and African American individuals with a Christian affiliation. Further research is warranted.

Demographic and clinical characteristics associated with anxiety and depressive symptom outcomes in users of a digital mental health intervention incorporating a relational agent

BACKGROUND

Digital mental health interventions (DMHIs) may reduce treatment access issues for those experiencing depressive and/or anxiety symptoms. DMHIs that incorporate relational agents may offer unique ways to engage and respond to users and to potentially help reduce provider burden. This study tested Woebot for Mood & Anxiety (W-MA-02), a DMHI that employs Woebot, a relational agent that incorporates elements of several evidence-based psychotherapies, among those with baseline clinical levels of depressive or anxiety symptoms. Changes in self-reported depressive and anxiety symptoms over 8 weeks were measured, along with the association between each of these outcomes and demographic and clinical characteristics.

METHODS

This exploratory, single-arm, 8-week study of 256 adults yielded non-mutually exclusive subsamples with either clinical levels of depressive or anxiety symptoms at baseline. Week 8 Patient Health Questionnaire-8 (PHQ-8) changes were measured in the depressive subsample (PHQ-8 ≥ 10). Week 8 Generalized Anxiety Disorder-7 (GAD-7) changes were measured in the anxiety subsample (GAD-7 ≥ 10). Demographic and clinical characteristics were examined in association with symptom changes via bivariate and multiple regression models adjusted for W-MA-02 utilization. Characteristics included age, sex at birth, race/ethnicity, marital status, education, sexual orientation, employment status, health insurance, baseline levels of depressive and anxiety symptoms, and concurrent psychotherapeutic or psychotropic medication treatments during the study.

RESULTS

Both the depressive and anxiety subsamples were predominantly female, educated, non-Hispanic white, and averaged 38 and 37 years of age, respectively. The depressive subsample had significant reductions in depressive symptoms at Week 8 (mean change =-7.28, SD = 5.91, Cohen's d = -1.23, p < 0.01); the anxiety subsample had significant reductions in anxiety symptoms at Week 8 (mean change = -7.45, SD = 5.99, Cohen's d = -1.24, p < 0.01). No significant associations were found between sex at birth, age, employment status, educational background and Week 8 symptom changes. Significant associations between depressive and anxiety symptom outcomes and sexual orientation, marital status, concurrent mental health treatment, and baseline symptom severity were found.

CONCLUSIONS

The present study suggests early promise for W-MA-02 as an intervention for depression and/or anxiety symptoms. Although exploratory in nature, this study revealed potential user characteristics associated with outcomes that can be investigated in future studies.

TRIAL REGISTRATION

This study was retrospectively registered on ClinicalTrials.gov (#NCT05672745) on January 5th, 2023.

The Goldilocks Dilemma on Balancing User Response and Reflection in mHealth Interventions: Observational Study

Background

Mobile health (mHealth) has the potential to radically improve health behaviors and quality of life; however, there are still key gaps in understanding how to optimize mHealth engagement. Most engagement research reports only on system use without consideration of whether the user is reflecting on the content cognitively. Although interactions with mHealth are critical, cognitive investment may also be important for meaningful behavior change. Notably, content that is designed to request too much reflection could result in users' disengagement. Understanding how to strike the balance between response burden and reflection burden has critical implications for achieving effective engagement to impact intended outcomes.

Objective

In this observational study, we sought to understand the interplay between response burden and reflection burden and how they impact mHealth engagement. Specifically, we explored how varying the response and reflection burdens of mHealth content would impact users' text message response rates in an mHealth intervention.

Methods

We recruited support persons of people with diabetes for a randomized controlled trial that evaluated an mHealth intervention for diabetes management. Support person participants assigned to the intervention (n=148) completed a survey and received text messages for 9 months. During the 2-year randomized controlled trial, we sent 4 versions of a weekly, two-way text message that varied in both reflection burden (level of cognitive reflection requested relative to that of other messages) and response burden (level of information requested for the response relative to that of other messages). We quantified engagement by using participant-level response rates. We compared the odds of responding to each text and used Poisson regression to estimate associations between participant characteristics and response rates.

Results

The texts requesting the most reflection had the lowest response rates regardless of response burden (high reflection and low response burdens: median 10%, IQR 0%-40%; high reflection and high response burdens: median 23%, IQR 0%-51%). The response rate was highest for the text requesting the least reflection (low reflection and low response burdens: median 90%, IQR 61%-100%) yet still relatively high for the text requesting medium reflection (medium reflection and low response burdens: median 75%, IQR 38%-96%). Lower odds of responding were associated with higher reflection burden (P<.001). Younger participants and participants who had a lower socioeconomic status had lower response rates to texts with more reflection burden, relative to those of their counterparts (all P values were <.05).

Conclusions

As reflection burden increased, engagement decreased, and we found more disparities in engagement across participants' characteristics. Content encouraging moderate levels of reflection may be ideal for achieving both cognitive investment and system use. Our findings provide insights into mHealth design and the optimization of both engagement and effectiveness.

Using mHealth to reduce disparities in Black maternal health: Perspectives from Black rural postpartum mothers

BACKGROUND

Racial disparities are evident in maternal morbidity and mortality rates globally. Black women are more likely to die from pregnancy and childbirth than any other race or ethnicity. This leaves one of the largest gaps in women's health to date.

OBJECTIVES

mHealth interventions that connect with women soon after discharge may assist in individualizing and formalizing support for mothers in the early postpartum period. To aid in developing an mHealth application, Black postpartum mothers' perspectives were examined.

DESIGN

Utilizing the Sojourner Syndrome Framework and Maternal Mortality & Morbidity Measurement Framework, group interview discussion guides were developed to examine the facilitators and barriers of postpartum transitional care for rural Black women living in the United States to inform the development of a mobile health application.

METHODS

In this study, seven group interviews were held with Black mothers, their support persons, and healthcare providers in rural Georgia to aid in the development of the Prevent Maternal Mortality Using Mobile Technology (PM3) mobile health (mHealth) application. Group interviews included questions about (1) post-birth experiences; (2) specific needs (e.g. clinical, social support, social services, etc.) in the postpartum period; (3) perspectives on current hospital discharge processes and information; (4) lived experiences with racism, classism, and/or gender discrimination; and (5) desired features and characteristics for the mobile app development.

RESULTS

Fourteen out of the 78 screened participants were eligible and completed the group interview. Major discussion themes included: accessibility to healthcare and resources due to rurality, issues surrounding race and perceived racism, mental and emotional well-being in the postpartum period, and perspectives on the PM3 mobile application.

CONCLUSION

Participants emphasized the challenges that postpartum Black women face in relation to accessibility, racism and discrimination, and mental health. The women favored a culturally relevant mHealth tool and highlighted the need to tailor the application to address disparities.

The Use of Navigators to Increase Patient Portal Enrollment among Patients in a Federally Qualified Health Care System

Purpose

To describe the training, preliminary results, and lessons learned from using patient navigators to increase the enrollment of low-income patients in a health system-supported and electronic health record-linked patient portal.

Methods

Patient navigators (n=4) were trained to assist patients in a federally qualified health center to enroll in and use patient portals. Patient navigators were stationed at 3 clinic locations. Data from the electronic health record system (Epic) were used to compare MyChart patient portal activation rates and use among patients for the 8 months before and after patient navigation services were offered.

Results

Navigators offered 83% of eligible patients with activation assistance. Sixty-four percent of the patients (n=1062) offered MyChart enrollment assistance accepted help. Seventy-four percent of assisted patients with no prior MyChart enrollment activated their accounts during that clinic visit. The primary reason for declining MyChart assistance was a lack of access to or comfort with technology. Patient portal activation increased during the 8 months when navigators were at the clinics (51%) compared to the previous 8 months (44%). Most new users viewed lab results and read a message [χ2(1)=49.3, p<.001], with significant increases evident for African Americans [44% before, 49% during; χ2(1)=40.4, p<.001] and Latinx patients [52% before, 60% during; χ2(1)=6.15, p=.013].

Conclusion

Study results suggest that using patient navigators is feasible and beneficial for increasing patient enrollment in the Federally Qualified Health Centers context. However, patient-, clinic-, and system-level factors were identified as barriers and should be addressed in future research studies.

Digital Technology Characteristics and Literacy Among Families With Children With Asthma: Cross-Sectional Study

Background

The use of digital technology in pediatric asthma management has emerged as a potential tool for improving asthma management. However, the use of digital tools has the potential to contribute to the inequitable delivery of asthma care because of existing social factors associated with asthma disparities. Our study focused on parents' chosen language and sociodemographic factors that might shape the use of digital technology in asthma self-management.

Objective

This study aims to estimate and compare patient, family, and technology-related characteristics by parents' chosen language (English or Spanish) and compare a digital literacy measure by sociodemographic factors.

Methods

Survey data were collected from July to December 2021 from parents of children with asthma who were seen by a Chicago pediatric health system pulmonary provider. Questions assessed patient and family characteristics, digital technology use, and digital literacy, measured using the validated eHealth Literacy Scale (eHEALS). Chi-square tests and multivariable logistic regression were used for comparisons, and Kruskal-Wallis tests were used for comparing median eHEALS scores by social characteristics.

Results

Of the 197 parents surveyed, 24.4% (n=49) of parents identified as a race categorized as other, 37.1% (n=67) as White, and 38.6% (n=75) as Black; 47.2% (n=93) identified as Hispanic/Latino/Latina. Additionally, 79.7% (n=157) of parents preferred English, and 20.3% (n=40) preferred Spanish. English-speaking parents were more likely to report having a data plan for their smartphone (117/157, 74.5%) or high-speed internet (138/157, 87.9%) compared to Spanish-speaking parents (smartphone: 23/40, 58%; P=.03; internet: 27/40, 68%; P=.002). Compared with Spanish-speaking parents, English-speaking parents were less likely to report having a lot or some concern about paying for internet (28/40, 70% vs 83/157, 52.9%; P=.046) or about data privacy (35/40, 88% vs 105/157, 67.5%; P=.01). Digital literacy scores differed significantly by race, income, education level, and language. In a multivariable model, language was not a significant factor for having high-speed internet service (P=.12) or concern about paying for internet at home (P=.60), but it was a significant factor for concerns about data privacy (P=.04).

Conclusions

The significant differences in technology-related characteristics suggest that digital connectivity, affordability, and data privacy may also be important factors in considering digital technology use in asthma care.

A randomized controlled trial testing a virtual program for Asian American women breast cancer survivors

A culturally tailored virtual program could meet the survivorship needs of Asian American women breast cancer survivors (AABC). This study aims to determine the efficacy of a culturally tailored virtual information and coaching/support program (TICAA) in improving AABC's survivorship experience. A randomized clinical trial (NCT02803593) was conducted from January 2017 to June 2020 among 199 AABC. The intervention group utilized TICAA and the American Cancer Society [ACS] website while the control group used only ACS website for 12 weeks. The outcomes were measured using the SCNS-34SF (needs; primary), the MSAS-SF (symptoms; secondary), and the FACT-B (quality of life; secondary). The data were analyzed using an intent-to-treat approach. The intervention group showed significant reductions in their needs from the baseline (T0) to post 4 weeks (T1) and to post 12 weeks (T2). Although the changes were not statistically significant, the intervention group had decreased symptoms from T0 to T2 while the control group had an increase in their symptoms. The intervention group had a significant increase in their quality of life from T0 to T2. A culturally tailored virtual program could therefore improve quality of life in AABC patients. Trial Registration: To Enhance Breast Cancer Survivorship of Asian Americans (TICAA), NCT02803593, https://clinicaltrials.gov/ct2/show/NCT02803593?titles=TICAA&draw=2&rank=1.

An Evidence-Based Framework for Creating Inclusive and Personalized mHealth Solutions-Designing a Solution for Medicaid-Eligible Pregnant Individuals With Uncontrolled Type 2 Diabetes

Mobile health (mHealth) apps can be an evidence-based approach to improve health behavior and outcomes. Prior literature has highlighted the need for more research on mHealth personalization, including in diabetes and pregnancy. Critical gaps exist on the impact of personalization of mHealth apps on patient engagement, and in turn, health behaviors and outcomes. Evidence regarding how personalization, engagement, and health outcomes could be aligned when designing mHealth for underserved populations is much needed, given the historical oversights with mHealth design in these populations. This viewpoint is motivated by our experience from designing a personalized mHealth solution focused on Medicaid-enrolled pregnant individuals with uncontrolled type 2 diabetes, many of whom also experience a high burden of social needs. We describe fundamental components of designing mHealth solutions that are both inclusive and personalized, forming the basis of an evidence-based framework for future mHealth design in other disease states with similar contexts.

Cultural Responsivity in Technology-Enabled Services: Integrating Culture Into Technology and Service Components

Technology-enabled services (TESs) are clinical interventions that combine technological and human components to provide health services. TESs for mental health are efficacious in the treatment of anxiety and depression and are currently being offered as frontline treatments around the world. It is hoped that these interventions will be able to reach diverse populations across a range of identities and ultimately decrease disparities in mental health treatment. However, this hope is largely unrealized. TESs include both technology and human service components, and we argue that cultural responsivity must be considered in each of these components to help address existing treatment disparities. To date, there is limited guidance on how to consider cultural responsivity within these interventions, including specific targets for the development, tailoring, or design of the technologies and services within TESs. In response, we propose a framework that provides specific recommendations for targets based on existing models, both at the technological component level (informed by the Behavioral Intervention Technology Model) and the human support level (informed by the Efficiency Model of Support). We hope that integrating culturally responsive considerations into these existing models will facilitate increased attention to cultural responsivity within TESs to ensure they are ethical and responsive for everyone.

Mobile Application's Effect on Patient Satisfaction and Compliance in Total Joint Arthroplasty: A Systematic Review and Meta-analysis

Use of mobile applications to improve patient engagement is particularly promising in total joint arthroplasty (TJA) whereby successful outcomes are predicated by patient engagement. In accordance with published guidelines by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, studies were searched, screened, and appraised for quality on various search engines. Hedges' g or odds ratios of patient adherence were reported. Twelve studies met the inclusion criteria, and the average age of 9,521 patients included was 60 years. Six studies concluded that mobile applications improved patients' satisfaction, with Hedges' g revealing an effect size of 1.64 (95% confidence interval [CI] 0.90 to 2.37), P < 0.001, in favor of mobile applications increasing patient satisfaction. Six studies reported improvements in compliance demonstrating an odds ratio for improved adherence of 4.57 (95% CI, 1.66 to 12.62), P < 0.001. Two studies reported a reduction in unscheduled office or emergency department visits. With evolving reimbursement policies linked to outcomes paired with the exponentially increasing volume of TJA performed, innovative ways to efficiently deliver high-quality care are in demand. Our systematic review is limited by a dearth of research on the nascent technology, but the available data suggest that mobile applications may enhance patient satisfaction, improve compliance, and reduce unscheduled visits after TJA.

A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health

Advances in computer science and data-analytic methods are driving a new era in mental health research and application. Artificial intelligence (AI) technologies hold the potential to enhance the assessment, diagnosis, and treatment of people experiencing mental health problems and to increase the reach and impact of mental health care. However, AI applications will not mitigate mental health disparities if they are built from historical data that reflect underlying social biases and inequities. AI models biased against sensitive classes could reinforce and even perpetuate existing inequities if these models create legacies that differentially impact who is diagnosed and treated, and how effectively. The current article reviews the health-equity implications of applying AI to mental health problems, outlines state-of-the-art methods for assessing and mitigating algorithmic bias, and presents a call to action to guide the development of fair-aware AI in psychological science.

Technology-Enhanced Behavioral Parent Training: The Relationship Between Technology Use and Efficiency of Service Delivery

Behavior disorders (BDs) are common and, without treatment, can have long-term impacts on child and family health. Behavioral Parent Training (BPT) is the standard of care intervention for early-onset BDs; however, structural socioeconomic barriers hinder treatment outcomes for low-income families. While digital technologies have been proposed as a mechanism to improve engagement in BPT, research exploring the relationship between technology use and outcomes is lacking. Thus, this study with 34 low-income families examined the impact of parents' use of adjunctive mobile app components on treatment efficiency in one technology-enhanced (TE-) BPT program, Helping the Noncompliant Child (HNC). While parent use of the TE-HNC app and its impact on the efficiency of service delivery varied across specific components, increased app use significantly reduced the number of weeks required for families to achieve skill mastery. Implications for the design and development of behavior intervention technologies in general, as well as for BPT in particular, are discussed.

Mobile Technologies for Supporting Mental Health in Youths: Scoping Review of Effectiveness, Limitations, and Inclusivity

BACKGROUND

Over the past decade, there has been growing support for the use of mobile health (mHealth) technologies to improve the availability of mental health interventions. While mHealth is a promising tool for improving access to interventions, research on the effectiveness and efficacy of mHealth apps for youths is limited, particularly for underrepresented populations, including youths of color and economically marginalized youths.

OBJECTIVE

This scoping review study sought to evaluate the following research questions: (1) What is the extent of the current literature on mHealth apps that provide intervention for mental health problems in children and adolescents? (2) What is known from the existing literature about the effectiveness or efficacy of delivering mental health services via mHealth apps? (3) What are the gaps in the knowledge base in the fields of technology and mental health? (4) Do the reviewed mHealth apps address issues of cultural sensitivity or have they been tested with underrepresented groups (ie, youths of color or economically marginalized groups)?

METHODS

An electronic database search was conducted using relevant search terms. Seven independent reviewers screened identified studies, including title and abstract review to determine if studies met the following inclusion criteria: (1) targeted samples with mental health symptomology or disorders, (2) studied youth participants aged 6-17 years, and (3) examined the use of a mobile app-based platform for intervention. Relevant studies were subjected to full-text review to extract and chart relevant data based on a priori research questions.

RESULTS

The initial database search yielded 304 papers published from 2010 to 2021. After screening and selection, the final review included 10 papers on the effectiveness and efficacy of mental health intervention apps for youths aged 8 to 17 years. Identified apps targeted a broad range of mental health challenges in youths (ie, depression, self-harm, autism spectrum disorder, anxiety, and obsessive-compulsive disorder). Results identified only a small number of studies suggesting that current effectiveness and efficacy research in this area are limited. While some studies provided general support for the effectiveness of mHealth apps in improving mental health outcomes in youths, several notable limitations were present across the literature, reducing the generalizability of findings. Additionally, considerations around racial, ethnic, and socioeconomic diversity were scarce across studies.

CONCLUSIONS

Although some studies cited in this scoping review provide support for the effectiveness and efficacy of mHealth apps targeting mental health concerns in youths, the overall body of literature remains quite limited. Moreover, mHealth apps expressly developed to be culturally responsive are almost nonexistent. Further efforts are needed to recruit youths who are typically underrepresented in research and invite stakeholder participation and collaborative input in the early stages of the mHealth app development process.

Evaluation of Commercially Available Infant-feeding Mobile Applications Using App Quality Evaluation Tool

OBJECTIVE

Assess the quality of free, commercially available infant-feeding mobile applications (apps) and their appropriateness for audiences with low income and of racial and ethnic diversity using the App Quality Evaluation tool.

METHODS

Researchers selected apps using an iterative process (n = 6). Health professionals (n = 10) who work with mothers with infants and low income who completed the App Quality Evaluation tool for each app, consisting of 7 domains of app quality. Average domain scores were calculated for each app (> 8 indicates high quality).

RESULTS

Evaluators highly rated app function and purpose for WebMD Baby (8.0 ± 1.8 and 8.2 ± 0.9, respectively) and Baby Center (8.0 ± 2.1 and 8.0 ± 2.6, respectively). For other apps, no domains were highly rated. No apps were rated highly for appropriateness (range 5.7-7.7) nor provided high-quality infant-feeding information for mothers with low income. Few apps were rated highly appropriate for mothers who are Black or Hispanic.

CONCLUSIONS AND IMPLICATIONS

Commercially available infant-feeding apps are of limited quality, indicating the need to develop high-quality apps for audiences with low income and Black and Hispanic identities.

Behavioral Economic Strategies to Improve Enrollment Rates in Clinical Research: Embedded Recruitment Pilot Trial

BACKGROUND

Nearly 1 in 3 clinical trials end prematurely due to underenrollment. Strategies to enhance recruitment are often implemented without scientific rigor to evaluate efficacy. Evidence-based, cost-effective behavioral economic strategies designed to influence decision-making may be useful to promote clinical trial enrollment.

OBJECTIVE

This study evaluated 2 behavioral economic strategies to improve enrollment and retention rates across 4 clinical trials: information provision (IP) and contingency management (CM; ie, lottery). IP targets descriptive and injunctive norms about participating in research and CM provides participants incentives to reinforce a target behavior.

METHODS

A sample of 212 participants was enrolled across 4 clinical trials focused on tobacco use: 2 focused on HIV and 2 focused on neuroimaging. The CM condition included a lottery: for each study visit completed, participants received 5 "draws" from a bowl containing 500 "chips" valued at US $0, US $1, US $5, or US $100. In the IP condition, text messages that targeted injunctive norms about research (eg, "Many find it a rewarding way to advance science and be part of a community") were sent through the Way to Health platform before all study visits. Participants were randomized to 1 of 4 conditions: IP, CM, IP+CM, or standard recruitment (SR). We performed logistic regression, controlling for sex and study, with condition as a between-subject predictor. Outcomes were the percentage of participants who attended a final eligibility visit (primary), met intent-to-treat (ITT) criteria (secondary), and completed the study (secondary). Recruitment was evaluated by the percentage of participants who attended a final eligibility visit, enrollment by ITT status, and retention by the percentage of participants who completed the study.

RESULTS

Rates of attending the eligibility visit and meeting ITT status were 58.9% (33/56) and 33.9% (19/56) for IP+CM; 45.5% (25/55) and 18.2% (10/55) for IP only; 41.5% (22/53) and 18.9% (10/53) for CM only; and 37.5% (18/48) and 12.5% (6/48) for SR, respectively. In the logistic regression, females were more likely to meet ITT status than males (odds ratio [OR] 2.7, 95% CI 1.2-5.7; P=.01). The IP+CM group was twice as likely to attend the final eligibility visit than the SR group (OR 2.4, 95% CI 1.1-5.2; P=.04). The IP+CM group was also significantly more likely to reach ITT status than the SR condition (OR 3.9, 95% CI 1.3-11.1; P=.01). Those who received any active intervention (IP, CM, or IP+CM) had a higher study completion rate (33/53, 63.5%) compared to those who received SR (5/12, 41.7%), but this difference was not significant (P=.26).

CONCLUSIONS

Combining IP and CM strategies may motivate participants to participate in research and improve recruitment and retention rates. Evidence from this study provides preliminary support for the utility of behavioral economics strategies to improve enrollment and reduce attrition in clinical trials.

Pre-intervention child maltreatment risks, intervention engagement, and effects on child maltreatment risk within an RCT of MHealth and parenting intervention

Introduction

Evidence-based mental health and parenting support services for mothers postpartum can reduce risk for child maltreatment. However, women suffering economic and cultural stressors disproportionately shoulder the burden of infant caregiving while experiencing profound barriers to accessing mental health and parenting services. This article reports on an MHealth and parenting intervention targeting maternal mood and positive parent practices within a randomized controlled trial, which provided a unique opportunity to view pre-intervention child maltreatment risk, its relationship to subsequent intervention engagement, and intervention engagement effects on pre-post child maltreatment risk reduction.

Method

Principal component factor analysis was conducted to identify a modifiable pre-intervention child maltreatment risk construct within a combined MHealth and parenting intervention sample of 184 primarily Black mothers and their infants. An independent t-test was conducted to compare pre-intervention child maltreatment risk levels between mothers who went on to complete at least two-thirds of the intervention and those who did not. A GLM repeated measures analysis of variance was conducted to determine effects of intervention engagement on child maltreatment risk reduction.

Results

Pre-intervention child maltreatment risk did not differentiate subsequent maternal intervention completion patterns. Mothers who completed two-thirds of the intervention, compared to those who did not, demonstrated significant reductions in pre-post child maltreatment risk.

Discussion

Findings underscore the potential of MHealth parenting interventions to reduce substantial child maltreatment risk through service delivery addressing a range of positive parenting and behavioral health needs postpartum, a particularly vulnerable developmental period for maternal depression and child maltreatment risk.

Application of the ConNECT Framework to achieve digital health equity

BACKGROUND

The emphasis on digital technology and informatics in health care (digital health) has introduced innovative ways to deliver health care and engage populations in health research. However, inadequate attention to the development and implementation of digital health interventions can exacerbate health disparities.

PURPOSE

We applied the transdisciplinary ConNECT Framework principles within the context of digital health, with an aim to describe strategies to achieve digital health equity.

METHODS

We described the five ConNECT principles of (a) integrating context, (b) fostering a norm of inclusion, (c) ensuring equitable diffusion of innovations, (d) harnessing communication technology, and (e) prioritizing specialized training within the framework of achieving digital health equity.

FINDINGS AND DISCUSSION

We describe proactive, actionable strategies for the systematic application of the ConNECT Framework principles to address digital health equity. Recommendations to reduce the digital health divide in nursing research and practice are also described.

Feasibility and Acceptability of the Adherence Connection Counseling, Education, and Support (ACCESS) Proof of Concept: A Peer-Led, Mobile Health (mHealth) Cognitive Behavioral Antiretroviral Therapy (ART) Adherence Intervention for HIV-Infected (HIV+) Adolescents and Young Adults (AYA)

Effective antiretroviral therapy (ART) adherence strategies for HIV+ adolescents and young adults (AYA) are needed to prevent HIV-related morbidity, mortality, and onward transmission. In the Adherence Connection for Counseling, Education, and Support (ACCESS) pilot, an exploratory sequential mixed-methods design was used to develop and test a peer-led, mobile health (mHealth) cognitive behavioral ART adherence intervention. HIV+ AYA (ages 16-29 years) with unsuppressed plasma HIV RNA (HIV viral load) were eligible for this five-session intervention directed to improving ART adherence and HIV viral load. A total of 78 peer-led remote videoconferencing sessions (via WebEx) were delivered to 16 participants. High completion rates (97.5%) and client satisfaction scores (mean = 29.13 of 32; SD = 2.45) were observed. Self-reported ART adherence improved (32% increase in doses taken; 95th CI 11.2-53.3) with an annualized average rate of 47.5% (0.28 log10) reduction in HIV viral load. We established proof of concept for the ACCESS peer-led, mHealth cognitive behavioral ART adherence intervention, with promising adherence and virologic outcome data.

Mixed methods evaluation of pediatric telehealth equity for patients/families who communicate in languages other than English

Background

Emerging research demonstrates telehealth disparities for patients who communicate in languages other than English. A better understanding of pediatric telehealth use with families who communicate in languages other than English is needed to inform interventions to promote telehealth equity.

Methods

We conducted a mixed methods study of telehealth care in a children's hospital health system using electronic health record data for outpatient video telehealth encounters from April 2020 to July 2021 and qualitative interviews with clinical staff and Spanish-speaking parents of telehealth patients.

Results

The 16-month study period included 102,387 telehealth encounters; 5% of which were encounters in languages other than English. 83% of languages other than English encounters were with patients/families with a preferred healthcare language of Spanish. 11% of providers conducted ≥10 languages other than English telehealth encounters. This subset of providers conducted 71% of all languages other than English encounters. We conducted 25 interviews with clinical staff (n=13) and parents (n=12). Common themes identified across interviews were: (I) technology barriers affect access to and quality of telehealth; (II) clinical staff and parents are uncertain about the future role of telehealth for patients/families who communicate in languages other than English; (III) the well-known impact of language barriers on in-person healthcare access and quality for patients who communicate in languages other than English is also evident in telehealth.

Conclusions

Patients who communicate in languages other than English were underrepresented among telehealth encounters and encounters were concentrated among few providers. Promoting equitable telehealth care requires investment to address technology barriers, increase the readiness of providers and clinics to provide telehealth care in languages other than English, and continued attention to reducing the healthcare impact of language barriers.

Effectiveness and implementation of a text messaging intervention to reduce depression and anxiety symptoms among Latinx and Non-Latinx white users during the COVID-19 pandemic

Text messaging interventions are increasingly used to help people manage depression and anxiety. However, little is known about the effectiveness and implementation of these interventions among U.S. Latinxs, who often face barriers to using mental health tools. The StayWell at Home (StayWell) intervention, a 60-day text messaging program based on cognitive behavioral therapy (CBT), was developed to help adults cope with depressive and anxiety symptoms during the COVID-19 pandemic. StayWell users (n = 398) received daily mood inquiries and automated skills-based text messages delivering CBT-informed coping strategies from an investigator-generated message bank. We conduct a Hybrid Type 1 mixed-methods study to compare the effectiveness and implementation of StayWell for Latinx and Non-Latinx White (NLW) adults using the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. Effectiveness was measured using the PHQ-8 depression and GAD-7 anxiety scales, assessed before starting and after completing StayWell. Guided by RE-AIM, we conducted a thematic text analysis of responses to an open-ended question about user experiences to help contextualize quantitative findings. Approximately 65.8% (n = 262) of StayWell users completed pre-and-post surveys. On average, depressive (-1.48, p = 0.001) and anxiety (-1.38, p = 0.001) symptoms decreased from pre-to-post StayWell. Compared to NLW users (n = 192), Latinx users (n = 70) reported an additional -1.45 point (p < 0.05) decline in depressive symptoms, adjusting for demographics. Although Latinxs reported StayWell as relatively less useable (76.8 vs. 83.9, p = 0.001) than NLWs, they were more interested in continuing the program (7.5 vs. 6.2 out of 10, p = 0.001) and recommending it to a family member/friend (7.8 vs. 7.0 out of 10, p = 0.01). Based on the thematic analysis, both Latinx and NLW users enjoyed responding to mood inquiries and sought bi-directional, personalized text messages and texts with links to more information to resources. Only NLW users stated that StayWell provided no new information than they already knew from therapy or other sources. In contrast, Latinx users suggested that engagement with a behavioral provider through text or support groups would be beneficial, highlighting this group's unmet need for behavioral health care. mHealth interventions like StayWell are well-positioned to address population-level disparities by serving those with the greatest unmet needs if they are culturally adapted and actively disseminated to marginalized groups. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04473599.

Effects of Mobile-Based Financial Incentive Interventions for Adults at Risk of Developing Hypertension: Feasibility Randomized Controlled Trial

BACKGROUND

Hypertension is the leading modifiable risk factor for cardiovascular disease and mortality. Adopting lifestyle modifications, like increasing physical activity (PA), can be an effective strategy in blood pressure (BP) control, but many adults do not meet the PA guidelines. Financial incentive interventions have the power to increase PA levels but are often limited due to cost. Further, mobile health technologies can make these programs more scalable. There is a gap in the literature about the most feasible and effective financial incentive PA framework; thus, pay-per-minute (PPM) and self-funded investment incentive (SFII) frameworks were explored.

OBJECTIVE

The aims were to (1) determine the feasibility (recruitment, engagement, and acceptability) of an 8-week mobile-based PPM and SFII hypertension prevention PA program and (2) explore the effects of PPM and SFII interventions relative to a control on the PA levels, BP, and PA motivation.

METHODS

In total, 55 adults aged 40-65 years not meeting the Canadian PA guidelines were recruited from Facebook and randomized into the following groups: financial incentive groups, PPM or SFII, receiving up to CAD $20 each (at the time of writing: CAD $1=US $0.74), or a control group without financial incentive. PPM participants received CAD $0.02 for each minute of moderate-to-vigorous PA (MVPA) per week up to the PA guidelines and the SFII received CAD $2.50 for each week they met the PA guidelines. Feasibility outcome measures (recruitment, engagement, and acceptability) were assessed. Secondary outcomes included changes in PA outcomes (MVPA and daily steps) relative to baseline were compared among PPM, SFII, and control groups at 4 and 8 weeks using linear regressions. Changes in BP and relative autonomy index relative to baseline were compared among the groups at follow-up.

RESULTS

Participants were randomized to the PPM (n=19), SFII (n=18), or control (n=18) groups. The recruitment, retention rate, and engagement were 77%, 75%, and 65%, respectively. The intervention received overall positive feedback, with 90% of comments praising the intervention structure, financial incentive, and educational materials. Relative to the control at 4 weeks, the PPM and SFII arms increased their MVPA with medium effect (PPM vs control: η²_p=0.06, mean 117.8, SD 514 minutes; SFII vs control: η²_p=0.08, mean 145.3, SD 616 minutes). At 8 weeks, PPM maintained a small effect in MVPA relative to the control (η²_p=0.01, mean 22.8, SD 249 minutes) and SFII displayed a medium effect size (η²_p=0.07, mean 113.8, SD 256 minutes). Small effects were observed for PPM and SFII relative to the control for systolic blood pressure (SBP) and diastolic blood pressure (DBP) (PPM: η²_p=0.12, Δmean SBP 7.1, SD 23.61 mm Hg; η²_p=0.04, Δmean DBP 3.5, SD 6.2 mm Hg; SFII: η²_p=0.01, Δmean SBP -0.4, SD 1.4 mm Hg; η²_p=0.02, Δmean DBP -2.3, SD 7.7 mm Hg) and relative autonomy index (PPM: η²_p=0.01; SFII: η²_p=0.03).

CONCLUSIONS

The feasibility metrics and preliminary findings suggest that a future full-scale randomized controlled trial examining the efficacy of PPM and SFII relative to a control is feasible, and studies with longer duration are warranted.

Cost-effectiveness of Digital Tools for Behavior Change Interventions Among People With Chronic Diseases: Systematic Review

BACKGROUND

Chronic diseases, including cardiovascular diseases, diabetes, chronic obstructive pulmonary disease, and cerebrovascular diseases, contribute to the most significant disease burden worldwide, negatively impacting patients and their family members. People with chronic diseases have common modifiable behavioral risk factors, including smoking, alcohol overconsumption, and unhealthy diets. Digital-based interventions for promoting and sustaining behavioral changes have flourished in recent years, although evidence of the cost-effectiveness of such interventions remains inconclusive.

OBJECTIVE

In this study, we aimed to investigate the cost-effectiveness of digital health interventions for behavioral changes among people with chronic diseases.

METHODS

This systematic review evaluated published studies focused on the economic evaluation of digital tools for behavioral change among adults with chronic diseases. We followed the Population, Intervention, Comparator, and Outcomes framework to retrieve relevant publications from 4 databases: PubMed, CINAHL, Scopus, and Web of Science. We used the Joanna Briggs Institute's criteria for economic evaluation and randomized controlled trials to assess the risk of bias in the studies. Two researchers independently screened, assessed the quality, and extracted data from the studies selected for the review.

RESULTS

In total, 20 studies published between 2003 and 2021 fulfilled our inclusion criteria. All the studies were conducted in high-income countries. These studies used telephones, SMS text messaging, mobile health apps, and websites as digital tools for behavior change communication. Most digital tools for interventions focused on diet and nutrition (17/20, 85%) and physical activity (16/20, 80%), and a few focused on smoking and tobacco control (8/20, 40%), alcohol reduction (6/20, 30%), and reduction of salt intake (3/20, 15%). Most studies (17/20, 85%) used the health care payer perspective for economic analysis, and only 15% (3/20) used the societal perspective. Only 45% (9/20) of studies conducted a full economic evaluation. Most studies (7/20, 35%) based on full economic evaluation and 30% (6/20) of studies based on partial economic evaluation found digital health interventions to be cost-effective and cost-saving. Most studies had short follow-ups and failed to include proper indicators for economic evaluation, such as quality-adjusted life-years, disability-adjusted life-years, lack of discounting, and sensitivity analysis.

CONCLUSIONS

Digital health interventions for behavioral change among people with chronic diseases are cost-effective in high-income settings and can therefore be scaled up. Similar evidence from low- and middle-income countries based on properly designed studies for cost-effectiveness evaluation is urgently required. A full economic evaluation is needed to provide robust evidence for the cost-effectiveness of digital health interventions and their potential for scaling up in a wider population. Future studies should follow the National Institute for Health and Clinical Excellence recommendations to take a societal perspective, apply discounting, address parameter uncertainty, and apply a lifelong time horizon.

The Effects of Young Children's Callous-Unemotional Traits on Behaviorally Observed Outcomes in Standard and Technology-Enhanced Behavioral Parent Training

Behavioral Parent Training (BPT) remains the current standard of care for early onset behavior disorders (BD); however, problem behaviors characterized by relatively high callous unemotional (CU) traits are linked to poorer treatment outcomes, highlighting the need for novel interventions. This study examined the relation of baseline child CU traits to changes in observed parent and child (3 to 8 years old) behavior in 101 families with low-income randomized to either a standard (Helping the Noncompliant Child, HNC) or technology-enhanced BPT program (TE-HNC). Assessments occurred at baseline, post-intervention, and at a three-month follow-up. Treatment group moderated the relation between CU traits and observed parenting behaviors and child compliance. Specifically, higher levels of child CU traits at baseline predicted lower levels of positive parenting at post-intervention and follow-up, and lower levels of child compliance at follow-up but only in the standard program (HNC). This is the first intervention study to behaviorally assess the differential impact of CU traits in standard, relative to technology-enhanced, BPT and suggests the promise of a technology-enhanced treatment model.

Ethical considerations for developing pediatric mhealth interventions for teens with socially complex needs

TOPIC

Mobile Health (mHealth) stands as a potential means to better reach, assess, and intervene with teens with socially complex needs. These youth often face overlapping adversities including medical illness and a history of experiencing adverse childhood experiences (ACEs). Clinicians are faced with navigating ethical decisions when developing mHealth tools for teens who have socially complex needs. Many tools have been developed for adults from the general population. However, despite the development of thousands of mHealth interventions, developers tend to focus on designing for usability, engagement, and efficacy, with less attention on the ethical considerations of making such tools.

PURPOSE

To safely move mHealth interventions from research into clinical practice, ethical standards must be met during the design phase. In this paper we adapt the Four Box Model (i.e., medical indications, preferences of patients, quality of life, and contextual features) to guide mHealth developers through ethical considerations when designing mHealth interventions for teens who present with a medical diagnosis and a history of ACEs.

SOURCES

A review of language, inclusive features, data sharing, and usability is presented using both the Four Box Model and potential scenarios to guide each consideration.

CONCLUSIONS

To better support designers of mHealth tools we present a framework for evaluating applications to determine overlap with ethical design and are well suited for use in clinical practice with underserved pediatric patients.

Implementation of a Population-Based Cancer Family History Screening Program for Lynch Syndrome

OBJECTIVES

Lynch syndrome increases risks for colorectal and other cancers. Though published Lynch syndrome cancer risk-management guidelines are effective for risk-reduction, the condition remains under-recognized. The Cancer Genetics Program at an academic medical center implemented a population-based cancer family history screening program, Detecting Unaffected Individuals with Lynch syndrome, to aid in identification of individuals with Lynch syndrome.

METHODS

In this retrospective cohort study, simple cancer family history screening questionnaires were used to identify those at risk for Lynch syndrome. Program navigators triaged and educated those who screened positive about hereditary cancer, and genetic counseling and testing services, offering genetic counseling if eligible. Genetic counseling was provided primarily via telephone. Genetic counselors performed hereditary cancer risk assessment and offered genetic testing via hereditary cancer panels to those eligible. Remote service delivery models via telephone genetic counseling and at-home saliva testing were used to increase access to medical genetics services.

RESULTS

This program screened 212,827 individuals, over half of whom were considered underserved, and identified 133 clinically actionable genetic variants associated with hereditary cancer. Of these, 47 (35%) were associated with Lynch syndrome while notably, 70 (53%) were not associated with hereditary colorectal cancer. Of 3,344 patients offered genetic counseling after initial triage, 2,441 (73%) elected to schedule the appointment and 1,775 individuals (73%) completed genetic counseling. Among underserved patients, telephone genetic counseling completion rates were significantly higher than in-person appointment completion rates (P < .05). While remote service delivery improved appointment completion rates, challenges with genetic test completion using at-home saliva sample collection kits were observed, with 242 of 1592 individuals (15%) not completing testing.

CONCLUSION

Population-based cancer family history screening and navigation can help identify individuals with hereditary cancer syndromes across diverse patient populations, but logistics of certain downstream service delivery models can impact outcomes.

Retention and engagement of rural caregivers of adolescents in a short message service intervention to reduce sugar-sweetened beverage intake

Objective

This study investigates a 6-month short message service (SMS) intervention to reduce adolescent sugar-sweetened beverage (SSB) intake. The objectives are to describe caregiver retention and SMS engagement as well as explore differences by caregiver characteristics.

Methods

Caregivers completed a baseline survey then messages were sent two times per week. Message types included the following: SSB intake assessments, educational information, infographic URLs, and strategies. Engagement was measured through interaction with these messages and included: assessment completion, reminders needed, number of strategies chosen, and URLs clicked.

Results

Caregivers (n = 357) had an average baseline SSB intake of 23.9 (SD = 26.8) oz/day. Of those, 89% were retained. Caregivers with a greater income and education were retained at a higher rate. Average engagement included: 4.1 (SD = 1.3) of 5 assessments completed with few reminders needed [4.1 (SD = 3.7) of 14 possible], 3.2 (SD = 1.1) of 4 strategies selected, and 1.2 (SD = 1.6) of 5 URLs clicked. Overall, average engagement was relatively high, even where disparities were found. Demographic characteristics that were statistically related to lower engagement included younger age, lower income, lower educational attainment, single caregivers, lower health literacy. Furthermore, caregivers with a reduced intention to change SSB behaviors completed fewer assessments and needed more reminders. Higher baseline SSB intake was associated with lower engagement across all indicators except URL clicks.

Conclusions

Results can be used to develop targeted retention and engagement strategies (e.g., just-in-time and/or adaptive interventions) in rural SMS interventions for identified demographic subsets.

Trial registration

Clincialtrials.gov: NCT03740113.

Examining Equity in Access and Utilization of a Freely Available Meditation App

Digital interventions have the potential to alleviate mental health disparities for marginalized and minoritized communities. The current study examined whether disparities in access and utilization of meditation in the United States (US) were reduced for a freely available meditation app. We analyzed demographic and usage data from US-based users of the Healthy Minds Program (HMP; N = 66,482) between October 2019 and July 2022. College education was associated with a greater likelihood of accessing (65.0% of users vs. 32.9% of the US population) and continuing to utilize the app (β = .11-.17). Conversely, identifying as African American was associated lower likelihood of accessing (5.3% vs. 13.4% of US population) and continuing to utilize the app (β = -.02-.03). African Americans were more likely to access content from an African American meditation teacher, but this did not appear to increase utilization. Additional efforts are warranted to identify factors which might reduce disparities.

Text2Breathe: Text-Message Intervention for Parent Communication and Pediatric Asthma

OBJECTIVE

Mobile health technology offers promise for reducing disparities in pediatric asthma care and outcomes by helping parents more effectively communicate with their children's primary care providers and manage their children's asthma. This study tested the impact of a text messaging program on emergency department utilization and asthma morbidity.

METHODS

A randomized controlled trial enrolled 221 parents of Medicaid-insured children visiting the emergency departments of 2 urban children's hospitals in the Pacific Northwest for an asthma-related concern between September 2015 and February 2019. Standardized surveys were administered to parents at baseline and 12 months later to assess the primary outcomes of emergency department utilization and morbidity as well as primary care utilization, parent communication self-efficacy, and asthma self-management knowledge. The intervention group received brief in-person education on partnering with primary care providers, followed by 3 months of educational text messages.

RESULTS

Participants were mostly female, English speakers, of minority race and ethnicity, and living below 200% of the federal poverty level. Negative binomial and linear regressions indicated no significant group differences in annual number of emergency department visits, morbidity, parent communication self-efficacy, or asthma self-management knowledge at 12 months' follow-up, adjusting for baseline covariates. Average annual rate of primary care visits for asthma was 35% higher in the intervention group compared to control group at follow-up (95% confidence interval 1.03-1.76, P = .03).

CONCLUSIONS

This parent-focused text message intervention did not impact emergency department utilization or asthma morbidity; however, results suggest its potential for enhancing use of primary care for management of pediatric chronic conditions.

Development and usage of a health recommendation web tool (HeaRT) designed to inform women of personalized preventive health recommendations

BACKGROUND

Implementation of guidelines for evidence-based screening and disease prevention remains a core challenge in health care. The lack of access to accurate and personalized health recommendations may contribute to sub-optimal performance of medical screening, and ultimately increased risk for communicable and non-communicable disease. Many women do not monitor their cardiovascular disease (CVD) risk or receive regular medical screenings. A health recommendation tool (HeaRT) that provides women with profiled, individually tailored information about recommended tests and screening was designed to improve women's engagement in preventive health. This study characterized utilization of the tool in a real world setting.

OBJECTIVE

To describe the development and usage patterns of HeaRT, a novel health web-tool that provides personalized health recommendations for women.

METHODS

Extracted web-tool data including user input (age, BMI, smoking status and family history of CVD) and time spent in the results screen were analysed. Engagement was assessed by time spent in each results category, number of clicks and whether the user emailed/printed the recommendations. Usage patterns were analysed using multivariate analyses, logistic regression and cluster analyses.

RESULTS

HeaRT was used 13,749 times in the years between its launch and data extraction three years later. Web-tool analysis found that 68.6 % of users accessed results and approximately 15 % printed or emailed the list of recommendations. Further analysis found that almost all the users entered the nutrition category (78 %), followed by the risk-factor category (69.5 %) and Physical activity category (61.9 %). Three usage patterns were identified by cluster analysis, including a nutrition/physical activity cluster, a risk-factor cluster and an all-categories cluster. Cluster affiliation analysis found BMI and smoking status were not predictors of cluster affiliation, whereas users over the age of 65 were more likely to solely enter the risk-factor tab (P < .001) and users with family history of CVD were more likely to either enter only the risk-factor tab or to enter all tabs (P < .01).

CONCLUSIONS

HeaRT users looked at health recommendations on a variety of health topics, and 15 % printed or emailed the recommendations. A tailored health recommendation web-tool may empower women to seek preventive-care and health maintenance, and help them interact with health care providers from a position of shared responsibility. This tool and similar programs may enable health care consumers to actively participate in directing their own health maintenance by providing consumers with personalized health recommendations. Additionally, user characteristics may inform future web-tool designers on target population profile and usage patterns.

Understanding cancer genetic risk assessment motivations in a remote tailored risk communication and navigation intervention randomized controlled trial

Background

National guidelines recommend cancer genetic risk assessment (CGRA) (i.e. genetic counseling prior to genetic testing) for women at increased risk for hereditary breast and ovarian cancer (HBOC). Less than one-half of eligible women obtain CGRA, leaving thousands of women and their family members without access to potentially life-saving cancer prevention interventions.

Purpose

The Genetic Risk Assessment for Cancer Education and Empowerment Project (GRACE) addressed this translational gap, testing the efficacy of a tailored counseling and navigation (TCN) intervention vs. a targeted print brochure vs. usual care on CGRA intentions. Selected behavioral variables were theorized to mediate CGRA intentions.

Methods

Breast and ovarian cancer survivors meeting criteria for guideline-based CGRA were recruited from three state cancer registries (N = 654), completed a baseline survey, and were randomized. TCN and targeted print arms received the brochure; TCN also participated in a tailored, telephone-based decision coaching and navigation session grounded in the Extended Parallel Process Model and Ottawa Decision Support Framework. Participants completed a one-month assessment. Logistic regression was used to compare the rate of CGRA intentions. CGRA intentions and theorized mediator scores (continuous level variables) were calculated using mixed model analysis.

Results

CGRA intentions increased for TCN (53.2%) vs. targeted print (26.7%) (OR = 3.129; 95% CI: 2.028, 4.827, p < .0001) and TCN vs. usual care (23.1%) (OR = 3.778, CI: 2.422, 5.894, p < .0001). Perceived risk (p = 0.023) and self-efficacy (p = 0.035) mediated CGRA intentions in TCN.

Conclusions

Improvements in CGRA intentions and theorized mediators support the use of a tailored communication intervention among women at increased HBOC risk. (Clinicaltrials.gov: NCT03326713.)Trial registration: ClinicalTrials.gov identifier: NCT03326713.

Digital Health Equity: Addressing Power, Usability, and Trust to Strengthen Health Systems

BACKGROUND

Without specific attention to health equity considerations in design, implementation, and evaluation, the rapid expansion of digital health approaches threatens to exacerbate rather than ameliorate existing health disparities.

METHODS

We explored known factors that increase digital health inequity to contextualize the need for equity-centered informatics. This work used a narrative review method to summarize issues about inequities in digital health and to discuss future directions for researchers and clinicians. We searched literature using a combination of relevant keywords (e.g., "digital health", "health equity", etc.) using PubMed and Google Scholar.

RESULTS

We have highlighted strategies for addressing medical marginalization in informatics according to vectors of power such as race and ethnicity, gender identity and modality, sexuality, disability, housing status, citizenship status, and criminalization status.

CONCLUSIONS

We have emphasized collaboration with user and patient groups to define priorities, ensure accessibility and localization, and consider risks in development and utilization of digital health tools. Additionally, we encourage consideration of potential pitfalls in adopting these diversity, equity, and inclusion (DEI)-related strategies.

Factors influencing the elderly’s adoption of mHealth: an empirical study using extended UTAUT2 model

Background

Despite the high usage of mobile phones in daily life in developing countries like Bangladesh, the adoption and usage of mHealth services have been significantly low among the elderly population. When searching previous studies, the researchers have found that no studies have empirically investigated whether the quality of life and service quality are significant for mHealth adoption by elderlies in Bangladesh. Hence, this study aimed to extend the Unified Theory of Acceptance and Use of Technology by adding service quality and the quality of life to empirically find the key factors that influence elderlies’ intention to adopt and use mHealth services in Bangladesh.

Methods

A face-to-face structured questionnaire survey method was used to collect data from 493 elderlies (aged 60 years and above) in Bangladesh. The data were analyzed with the Structural Equations Modelling (SEM) and Fuzzy Set Qualitative Comparative Analysis (fsQCA).

Results

SEM results suggested that Social Influence, Hedonic Motivation, Price Value, Habit, and Service Quality had significant impact (p < 0.05) on the elderlies’ behavioral intention to adopt mHealth services. Service Quality, Quality of Life, and elderlies’ Habit were found significant in explaining the Use Behavior of mHealth services. Quality of Life did not show significant (p > 0.05) effect on Behavioral Intention, which is inconsistent with existing literature. In addition, fsQCA findings suggest how the intensity of the influencers may contribute to high versus low m-health behavioral outcomes.

Conclusions

The findings have significant implications for theory, practice and future research as explained in the paper. The originality of this study is the integration of quality of life and service quality into UTUAT2 to explain the users’ behavioural intention and use behaviour. Overall, the findings may contribute to shaping appropriate policies for designing and implementing mHealth services effectively for elderlies in developing countries.

Disparities in mobile phone use among adults with type 2 diabetes participating in clinical trials 2017-2021

Despite smartphone ownership becoming ubiquitous, it is unclear whether and where disparities persist in experience using health apps. In 2 diverse samples of adults with type 2 diabetes collected 2017-2018 and 2020-2021, we examined adjusted disparities in smartphone ownership and health app use by age, gender, race, education, annual household income, health insurance status, health literacy, and hemoglobin A1c. In the earlier sample (N = 422), 87% owned a smartphone and 49% of those had ever used a health app. Participants with lower income or limited health literacy had ≥50% lower odds of owning a smartphone. Comparatively, in the later sample (N = 330), almost all participants (98%) owned a smartphone and 70% of those had ever used a health app; however, disparities in health app use closely mirrored disparities in smartphone ownership from 2017 to 2018. Our findings suggest device ownership is necessary but insufficient for assuming people will use apps to support their health.

Feasibility and acceptability of texting school-aged adolescents to assess daily substance use among community-based black and white youth

BACKGROUND

Ecological momentary assessment (EMA) is well-suited to measure adolescent substance use. Previous research with adolescents, particularly racially minoritized adolescents, has predominantly provided mobile devices to participants as a strategy to reduce structural barriers to technology access. This report examined feasibility and acceptability of a text-message-delivered EMA protocol to adolescents' personal phones.

METHODS

Non-Hispanic Black and White adolescents aged 14-18 years with mobile phone access and past-30-day substance use were recruited from community settings. Respondents (n = 36; 55.5 % female; 55.5 % White) completed a 14-day diary assessing substance use.

RESULTS

Respondents completed M = 13.8 (SD = 1.36) diaries for a compliance rate of 93.5 %. Black respondents completed significantly fewer diaries (87.9 %) than White respondents (97.9 %) although compliance rates were high among both groups. Adolescents reported high acceptability of the protocol, with 97.1 % willing to participate again.

CONCLUSION

Findings suggest text-message-based EMA delivered to personal phones is acceptable and feasible for assessing substance use among adolescents. As the sociodemographic "digital divide" narrows among adolescents, this cost-effective and equitable method becomes more feasible.

mHealth Technology Design and Evaluation for Early Childhood Health Promotion: Systematic Literature Review

BACKGROUND

Recent increases in smartphone ownership among underserved populations have inspired researchers in medicine, computing, and health informatics to design and evaluate mobile health (mHealth) interventions, specifically for those supporting child development and growth. Although these interventions demonstrate possible effectiveness at larger scales, few of these interventions are evaluated to address racial disparities and health equity, which are known factors that affect relevance, uptake, and adherence in target populations.

OBJECTIVE

In this study, we aimed to identify and document the current design and evaluation practices of mHealth technologies that promote early childhood health, with a specific focus on opportunities for those processes to address health disparities and health equity.

METHODS

We completed a systematic literature review of studies that design and evaluate mHealth interventions for early childhood health promotion. We then analyzed these studies to identify opportunities to address racial disparities in early- and late-stage processes and to understand the potential efficacy of these interventions.

RESULTS

Across the literature from medical, computing, and health informatics fields, we identified 15 articles that presented a design or evaluation of a parent-facing health intervention. We found that using mobile-based systems to deliver health interventions was generally well accepted by parents of children aged <5 years. We also found that, when measured, parenting knowledge of early childhood health topics and confidence to engage in health-promoting behaviors improved. Design and evaluation methods held internal consistency within disciplines (eg, experimental study designs were the most prevalent in medical literature, while computing researchers used user-centered design methods in computing fields). However, there is little consistency in design or evaluation methods across fields.

CONCLUSIONS

To support more interventions with a comprehensive design and evaluation process, we recommend attention to design at the intervention (eg, reporting content sources) and system level; interdisciplinary collaboration in early childhood health intervention development can lead to large-scale deployment and success among populations.

TRIAL REGISTRATION

PROSPERO CRD42022359797; https://tinyurl.com/586nx9a2.

A healthcare workers' mHealth adoption instrument for the developing world

Introduction

Healthcare workers’ adoption of mHealth is critical to the success or failure of clinician based mHealth services in the developing world. mHealth adoption is affected or promoted by certain factors, some of which are peculiar to the developing world. Identifying these factors and evaluating them will help develop a valid and reliable measuring instrument for more successful prediction of mHealth adoption in the future. The aim of this study was to design and develop such an instrument.

Method

A Healthcare workers’ mHealth Adoption Questionnaire (HmAQ) was developed based on five constructs identified through a prior literature review: multi-sectorial engagement and ownership; staffing and technical support; reliable infrastructure; usefulness and stewardship; and intention to adopt. After testing face and content validity, the questionnaire was administered to 104 nurses and midwives in the Ewutu-Senya district of the Central Region of Ghana who used a maternal mHealth intervention. After data collection confirmatory factor analysis and structural equation modelling were applied and the Healthcare Worker mHealth Adoption Impact Model (HmAIM) developed.

Results

Exploratory factor analysis showed the eigenvalue of all five components to be significant (cumulative total greater than 1.0). Bartlett’s Test of Sphericity was significant, the Kaiser-Meyer-Olkin value was 0.777, and the mean Cronbach’s α value was 0.82 (range 0.81–0.83). Confirmatory factor analysis showed that constructs for the HmAQ were within acceptable limits and valid. Structural equation modelling showed the causal relationships between components. This resulted in development of the HmAIM. A modified model was then developed using the averages of individual construct items. This model showed strong correlation among the constructs. Further research will be required to understand new dimensions of mHealth adoption as a result of emerging technology needs, new complexities in the healthcare work environment, and how different cadres of healthcare workers respond to it.

Conclusion

The study presents a valid and reliable instrument, the HmAIM, to serve as a tool for assessment of healthcare workers’ mHealth adoption in the developing world. Use of the instrument will enhance the likelihood of successful adoption of mHealth implementations.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-08592-0.

The role of behavioral science in addressing cardiovascular health disparities: A narrative review of efforts, challenges, and future directions

Cardiovascular disease (CVD) remains the leading cause of morbidity and mortality in the United States. Despite improvements in the prevention and treatment of CVD over the past 20 years, racial/ethnic minority groups including non-Hispanic Blacks, Hispanic/Latinos, and some Asian subgroups (e.g., Asian Indians, Filipinos) experience higher rates of CVD risk factors and morbidity and mortality from CVD than non-Hispanic Whites. Therefore, addressing cardiovascular health disparities is an immediate priority. Behavioral science can play an important role in reducing disparities by capitalizing on expertise in human behavior change, social determinants of health, and implementation science. In this narrative review, we describe the efforts made within behavioral science to address CVD health disparities. We review current interventions to reduce CVD health disparities and provide practical recommendations that can be used as the field moves forward. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

mHealth Uses and Opportunities for Teens from Communities with High Health Disparities: A Mixed-Methods Study

Despite widespread access to smartphones, teens from communities facing significant behavioral health disparities typically have low mobile health (mHealth) engagement. The purpose of this study was to characterize teen and caregiver perspectives about smartphone use and access, mHealth, and how mHealth could address teens' behavioral health needs during the pandemic and beyond. Remote recruitment and methodologies were used to engage 17 teens (M age = 15.9 ± 0.9) and 10 caregivers living in urban communities with significant socioeconomic and health disparities. Participants completed a focus group or interview session (based on preference) and self-report questionnaires (e.g., behavioral health history, pandemic impacts, technology use). Qualitative and quantitative data were analyzed using thematic and descriptive analyses, respectively. Both quantitative and qualitative data indicated relevant behavioral health concerns for teens and their families, impacts from the pandemic, and frequent smartphone use. Primary teen and caregiver themes included (1) health and wellness concerns, (2) barriers, (3) use of smartphones, (4) impacts of smartphones, and (5) opinions/suggestions for mHealth. This multi-method and multi-informant study highlighted the lived experiences of teens from marginalized communities and offered key insights to increase the acceptability and real-world engagement of mHealth tools. To address barriers to care for this population beyond the pandemic, clear messaging must be used for mHealth tools (e.g., data privacy, expectations of use). These findings testify to the importance of collaboration with teens and caregivers from communities facing large health disparities in future mHealth design, development, and deployment.

Technology-based and digital interventions for intimate partner violence: A systematic review and meta-analysis

BACKGROUND

A growing body of research shows the promise and efficacy of technology-based or digital interventions in improving the health and well-being of survivors of intimate partner violence (IPV). In addition, mental health comorbidities such as anxiety, post-traumatic stress disorder (PTSD), and depression occur three to five times more frequently in survivors of IPV than non-survivors, making these comorbidities prominent targets of technology-based interventions. Still, research on the long-term effectiveness of these interventions in reducing IPV victimization and adverse mental health effects is emergent. The significant increase in the number of trials studying technology-based therapies on IPV-related outcomes has allowed us to quantify the effectiveness of such interventions for mental health and victimization outcomes in survivors. This meta-analysis and systematic review provide critical insight from several randomized controlled trials (RCTs) on the overall short and long-term impact of technology-based interventions on the health and well-being of female IPV survivors.

OBJECTIVES

To synthesize current evidence on the effects of technology-based or digital interventions on mental health outcomes (depression, anxiety, and PTSD) and victimization outcomes (physical, psychological, and sexual abuse) among IPV survivors.

SEARCH METHODS

We examined multiple traditional and grey databases for studies published from 2007 to 2021. Traditional databases (such as PubMed Central, Web of Science, CINAHL Plus, and PsychINFO) and grey databases were searched between April 2019 and February 2021. In addition, we searched clinical trial registries, government repositories, and reference lists. Authors were contacted where additional data was needed. We identified 3210 studies in traditional databases and 1257 from grey literature. Over 2198 studies were determined to be duplicates and eliminated, leaving 64 studies after screening titles and abstracts. Finally, 17 RCTs were retained for meta-analysis. A pre-registered protocol was developed and published before conducting this meta-analysis.

SELECTION CRITERIA

We included RCTs targeting depression, anxiety, PTSD outcomes, and victimization outcomes (physical, sexual, and psychological violence) among IPV survivors using a technology-based intervention. Eligible RCTs featured a well-defined control group. There were no study restrictions based on participant gender, study setting, or follow-up duration. Included studies additionally supplied outcome data for calculating effect sizes for our desired outcome. Studies were available in full text and published between 2007 and 2021 in English.

DATA COLLECTION AND ANALYSIS

We extracted relevant data and coded eligible studies. Using Cochrane's RevMan software, summary effect sizes (Outcome by Time) were assessed using an independent fixed-effects model. Standardized mean difference (SMD) effect sizes (or Cohen's d) were evaluated using a Type I error rate and an alpha of 0.05. The overall intervention effects were analyzed using the Z-statistic with a p-value of 0.05. Cochran's Q test and Higgins' I ² statistics were utilized to evaluate and confirm the heterogeneity of each cumulative effect size. The Cochrane risk of bias assessment for randomized trials (RoB 2) was used to assess the quality of the studies. Campbell Systematic Reviews registered and published this study's protocol in January 2021. No exploratory moderator analysis was conducted; however, we report our findings with and without outlier studies in each meta-analysis.

MAIN RESULTS

Pooled results from 17 RCTs yielded 18 individual effect size comparisons among 4590 survivors (all females). Survivors included college students, married couples, substance-using women in community prisons, pregnant women, and non-English speakers, and sample sizes ranged from 15 to 672. Survivors' ages ranged from 19 to 41.5 years. Twelve RCTs were conducted in the United States and one in Canada, New Zealand, China (People's Republic of), Kenya, and Australia. The results of this meta-analysis found that technology-based interventions significantly reduced depression among female IPV survivors at 0-3 months only (SMD = -0.08, 95% confidence interval [CI] = -0.17 to -0.00), anxiety among IPV survivors at 0-3 months (SMD = -0.27, 95% CI = -0.42 to -0.13, p = 0.00, I ² = 25%), and physical violence victimization among IPV survivors at 0-6 months (SMD = -0.22, 95% CI = -0.38 to -0.05). We found significant reductions in psychological violence victimization at 0-6 months (SMD = -0.34, 95% CI = -0.47 to -0.20) and at >6 months (SMD = -0.29, 95% CI = -0.39 to -0.18); however, at both time points, there were outlier studies. At no time point did digital interventions significantly reduce PTSD (SMD = -0.04, 95% CI = -0.14 to 0.06, p = .46, I ² = 0%), or sexual violence victimization (SMD = -0.02, 95% CI = -0.14 to 0.11, I ² = 21%) among female IPV survivors for all. With outlier studies removed from our analysis, all summary effect sizes were small, and this small number of comparisons prevented moderator analyses.

AUTHORS' CONCLUSIONS

The results of this meta-analysis are promising. Our findings highlight the effectiveness of IPV-mitigating digital intervention as an add-on (not a replacement) to traditional modalities using a coordinated response strategy. Our findings contribute to the current understanding of "what works" to promote survivors' mental health, safety, and well-being. Future research could advance the science by identifying active intervention ingredients, mapping out intervention principles/mechanisms of action, best modes of delivery, adequate dosage levels using the treatment intensity matching process, and guidelines to increase feasibility and acceptability.

Alliance With an Unguided Smartphone App: Validation of the Digital Working Alliance Inventory

The working alliance may be relevant in unguided smartphone-based interventions, but no validated measure exists. We evaluated the psychometric properties of the six-item Digital Working Alliance Inventory (DWAI) using a cross-sectional survey of meditation app users (n = 290) and the intervention arm of a randomized trial testing a smartphone-based meditation app (n = 314). Exploratory factor analysis suggested a single-factor solution which was replicated using longitudinal confirmatory factor analysis. The DWAI showed adequate internal consistency and test-retest reliability. Discriminant validity was supported by a lack of association with social desirability, psychological distress, and preference for a waitlist condition. Convergent validity was supported by positive associations with perceived app effectiveness and preference for an app condition. Supporting predictive validity, DWAI scores positively predicted self-reported and objective app utilization. When assessed at Weeks 3 or 4 of the intervention, but not earlier, DWAI scores predicted pre-post reductions in psychological distress.

Co-design tensions between families and children around mobile health technology design needs and decisions: A case study (Preprint)

BACKGROUND

Just-in-time adaptive interventions (JITAIs) in mobile health are an intervention design that provides behavior change support based on an individual's changing and dynamic contextual state. However, few studies have documented how end users of JITAI technologies are involved in their development, particularly from historically marginalized families and children. Less is known for public health researchers and designers of the tensions that occur as families negotiate their needs.

OBJECTIVE

We aimed to broaden our understanding of how historically marginalized families are included in co-design from a public health perspective. We sought to address research questions surrounding JITAIs; co-design; and working with historically marginalized families, including Black, Indigenous, and people of color (BIPOC) children and adults, regarding improving sun protection behaviors. We sought to better understand value tensions in parents' and children's needs regarding mobile health technologies and how design decisions are made.

METHODS

We examined 2 sets of co-design data (local and web-based) pertaining to a larger study on mobile SunSmart JITAI technologies with families in Los Angeles, California, United States, who were predominantly of Latinx and multiracial backgrounds. In these co-design sessions, we conducted stakeholder analysis through perceptions of harms and benefits and an assessment of stakeholder views and values. We open coded the data and compared the developed themes using a value-sensitive design framework by examining value tensions to help organize our qualitative data. Our study is formatted through a narrative case study that captures the essential meanings and qualities that are difficult to present, such as quotes in isolation.

RESULTS

We presented 3 major themes from our co-design data: different experiences with the sun and protection, misconceptions about the sun and sun protection, and technological design and expectations. We also provided value flow (opportunities for design), value dam (challenges to design), or value flow or dam (a hybrid problem) subthemes. For each subtheme, we provided a design decision and a response we ended up making based on what was presented and the kinds of value tensions we observed.

CONCLUSIONS

We provide empirical data to show what it is like to work with multiple BIPOC stakeholders in the roles of families and children. We demonstrate the use of the value tension framework to explain the different needs of multiple stakeholders and technology development. Specifically, we demonstrate that the value tension framework helps sort our participants' co-design responses into clear and easy-to-understand design guidelines. Using the value tension framework, we were able to sort the tensions between children and adults, family socioeconomic and health wellness needs, and researchers and participants while being able to make specific design decisions from this organized view. Finally, we provide design implications and guidance for the development of JITAI mobile interventions for BIPOC families.

Examining Access to Digital Technology by Race and Ethnicity and Child Health Status Among Chicago Families

This cross-sectional study characterizes the type and quality of digital access among racially and ethnically as well as socioeconomically diverse households with children in Chicago.

Coverage and Acceptability of Mobile Phone Messages for Cancer Prevention: a Population-Based Study in a Latin American Country

Mobile health (m-health) has shown positive effects on disease prevention; however, several factors might influence its effectiveness, particularly in low- and middle-income countries. Randomized trials provide data with high internal validity but no major information on population impact. We conducted a pilot population-based study to assess the feasibility of cancer prevention through m-health in a Latin American population. A sample of affiliates to a health insurance company in Colombia was randomly selected and assigned to receive a short message service (SMS) or voice messages (VMS) during 4 weeks; weekly frequencies 2 and 7. Baseline and post-intervention surveys were conducted. Overall, 797 affiliates were contacted (SMS 393, VMS 404) but only 15.3% and 24.8% enrolled, respectively. Over 80% acceptability was observed among participants for all items evaluated (usefulness, understandability, timing, and frequency); however, 2-VMS per week was the only frequency consistent with the declared number of messages received and listened. Other frequencies resulted in high reception recall but low willingness to read/listen the messages. The willingness to be part of future programs was 20.0%. The gap between declared acceptability and practice, low participation rates, and low willingness to read/listen messages indicate m-health should be part of multicomponent interventions and should not be conceived as the sole intervention.

Non-Pharmacologic Interventions for Hispanic Caregivers of Persons with Dementia: Systematic Review and Meta-Analysis

Background: As the Hispanic/Latino (HL) population grows, so too does the need for HL family caregivers for persons with dementia. HL caregivers tend to have less education, lower health literacy, and lower income, each uniquely compounding burden. Research is needed to appropriately tailor interventions for this population. Objective: A systematic review and meta-analysis was conducted to 1) provide an updated review of non-pharmacologic intervention studies for HL dementia caregivers, 2) characterize promising interventions, and 3) highlight opportunities for future research. Methods: Databases were searched for articles evaluating non-pharmacologic interventions for HL dementia caregivers. Studies were excluded if target populations did not include HLs or if no intervention was delivered. Data were extracted and random effects meta-analysis was performed on two primary outcomes: caregiver depression and burden. Effect sizes were calculated as pre- and post-intervention standardized mean differences (SMD), and further depression subgroup meta-analysis was performed. Other secondary outcome measures (e.g., perceived social support, caregiver knowledge, anxiety) were evaluated qualitatively. Results: Twenty-three studies were identified. Most included multiple components pertaining to psychosocial support, caregiver education, and community resource facilitation. Many studies were successful in improving caregiver outcomes, though intervention design varied. Meta-analysis revealed minimal to moderate heterogeneity and small effect size in improving depressive symptoms (SMD = –0.31, 95% CI –0.46 to –0.16; I2 = 50.16%) and burden (SMD = –0.28, 95% CI –0.37 to –0.18; I2 = 11.06%). Conclusion: Although intervention components varied, many reported outcome improvements. Future studies may benefit from targeting physical health, addressing sociocultural and economic contexts of caregivers, and leveraging technology.

Developing a Consensus for Adolescent and Young Adult mHealth HIV Prevention Interventions in the United States: A Delphi Method Study

Background

Engaging adolescents and young adults (AYAs) who are at elevated risk for HIV acquisition or who are living with HIV in health care has posed a major challenge in HIV prevention and care efforts. Mobile health (mHealth) interventions are a popular and accessible strategy to support AYA engagement despite barriers to care present along the HIV care continuum. Even with progress in the field of mHealth research, expert recommendations for the process of designing, evaluating, and implementing HIV-related mHealth interventions are underdeveloped.

Objective

The aim of this study was to compile expert recommendations on the development, evaluation, and implementation of AYA-focused HIV prevention and care mHealth interventions.

Methods

Experts from adolescent mHealth HIV research networks and investigators of recently funded HIV mHealth projects and programs were identified and invited to complete a series of electronic surveys related to the design, implementation, and evaluation of HIV-related mHealth interventions. A modified Delphi method was used to ask experts to score 35 survey items on a 4-point Likert scale from not important to very important and encouraged experts to leave additional comments in textboxes. Responses were reviewed by the researchers, a team of 4 HIV mHealth intervention experts. The average importance ratings from survey responses were calculated and then categorized as retained (high importance), flagged (mid-level importance), or dropped (no/low importance). Additionally, thematic analysis of expert comments helped modify survey items for the next survey round. An evaluation of the level of agreement among experts on the most important items followed each round until consensus was reached.

Results

Of the 35 invited experts, 23 completed the first survey representing a variety of roles within a research team. Following two rounds of Delphi surveys, experts scored 24 of the 28 (86%) survey items included in round two as important to very important. The final consensus items included 24 recommendations related to the mHealth intervention design process (n=15), evaluation (n=2), and implementation (n=7). The 3 survey items with the highest average scores focused on the design process, specifically, (1) the creation of a diverse team including researchers, app software developers, and youth representation; (2) the importance of AYA-focused content; and (3) the value of an iterative process. Additionally, experts highlighted the importance of establishing the best ways to collect data and the types of data for collection during the evaluation process as well as constructing a plan for participant technology disruption when implementing an mHealth intervention.

Conclusions

The modified Delphi method was a useful tool to convene experts to determine recommendations for AYA-focused HIV prevention and care mHealth interventions. These recommendations can inform future mHealth interventions. To ensure the acceptability, feasibility, and efficacy of these AYA HIV prevention interventions, the focus must be on the specific needs of AYAs by including representation of AYAs in the process, including consistent and relevant content, ensuring appropriate data is collected, and considering technology and health accessibility barriers.