Behavioral Interventions Using Consumer Information Technology as Tools to Advance Health Equity

Engagement and Use of a Blended mHealth Intervention for Health Behavior Change

BACKGROUND

Blended mHealth interventions (mHealth interventions including a facilitator) promote user engagement and increase effectiveness of health behavior change interventions. Little is known about how blended mHealth interventions are used outside the research context.

METHODS

In the present work, we characterized patterns of app use among users of a blended mHealth intervention in real-world conditions. Program users were Veterans Health Administration (VHA) primary care patients (n = 56) who received an invite code for a blended mHealth intervention between 2019 and 2021. Cluster analysis was used to examine user engagement with health coach visits and program features.

RESULTS

Of patients who received an invite code, 34% initiated the program. Most users were men (63%) and white (57%). The mean number of health conditions was 5 (68% with obesity). The mean age was 55. Cluster analysis suggested that most users did sustain engagement at either moderate (57%) or very high levels (13%). The remaining 30% of users were low engaged users. Users completing any health coach visit (about half) reported more overall engagement than their counterparts who did not. Weight was the most frequently tracked metric. Of users entering weights in the first and last month of the program (n = 18), the mean percent body weight change was 4.0% (SD = 3.6).

CONCLUSIONS

A blended mHealth intervention may be a scalable option to extend the reach of health behavior change interventions for those that use it. However, a significant portion of users do not initiate these interventions, choose not to use the health coach feature, or engage at lower levels. Future research should examine the role of health coaching visits in promoting sustained engagement.

Applying a Social Determinants of Health Framework to Guide Digital Innovations That Reduce Disparities in Chronic Disease

ABSTRACT

Chronic diseases are among the top causes of global death, disability, and health care expenditure. Digital health interventions (e.g., patient support delivered via technologies such as smartphones, wearables, videoconferencing, social media, and virtual reality) may prevent and mitigate chronic disease by facilitating accessible, personalized care. Although these tools have promise to reach historically marginalized groups, who are disproportionately affected by chronic disease, evidence suggests that digital health interventions could unintentionally exacerbate health inequities. This commentary outlines opportunities to harness recent advancements in technology and research design to drive equitable digital health intervention development and implementation. We apply "calls to action" from the World Health Organization Commission on Social Determinants of Health conceptual framework to the development of new, and refinement of existing, digital health interventions that aim to prevent or treat chronic disease by targeting intermediary, social, and/or structural determinants of health. Three mirrored "calls to action" are thus proposed for digital health research: a) develop, implement, and evaluate multilevel, context-specific digital health interventions; b) engage in intersectoral partnerships to advance digital health equity and social equity more broadly; and c) include and empower historically marginalized groups to develop, implement, and access digital health interventions. Using these "action items," we review several technological and methodological innovations for designing, evaluating, and implementing digital health interventions that have greater potential to reduce health inequities. We also enumerate possible challenges to conducting this work, including leading interdisciplinary collaborations, diversifying the scientific workforce, building trustworthy community relationships, and evolving health care and digital infrastructures.

Personalized Digital Health Communications to Increase COVID-19 Vaccination in Underserved Populations: A Double Diamond Approach to Behavioral Design

The COVID-19 pandemic exacerbated pre-existing health disparities. People of historically underserved communities, including racial and ethnic minority groups and people with lower incomes and educational attainments, experienced disproportionate premature mortality, access to healthcare, and vaccination acceptance and adoption. At the same time, the pandemic increased reliance on digital devices, offering a unique opportunity to leverage digital communication channels to address health inequities, particularly related to COVID-19 vaccination. We offer a real-world, systematic approach to designing personalized behavior change email and text messaging interventions that address individual barriers with evidence-based behavioral science inclusive of underserved populations. Integrating design processes such as the Double Diamond model with evidence-based behavioral science intervention development offers a unique opportunity to create equitable interventions. Further, leveraging behavior change artificial intelligence (AI) capabilities allows for both personalizing and automating that personalization to address barriers to COVID-19 vaccination at scale. The result is an intervention whose broad component library meets the needs of a diverse population and whose technology can deliver the right components for each individual.

Telehealth Readiness Assessment of Perinatal Nurses

OBJECTIVE

To assess telehealth readiness among perinatal nurses in New Jersey.

DESIGN

Cohort survey study.

SETTING/LOCAL PROBLEM

New Jersey was one of the hardest hit areas in the early months of the COVID-19 pandemic. Telehealth represented an opportunity to provide continuity of perinatal care at a time when health care was significantly disrupted.

PARTICIPANTS

Perinatal nurses in New Jersey.

INTERVENTION/MEASUREMENTS

The intervention was a five-part, 90-question online survey provided via e-mail invitation to New Jersey State Nursing Association members. Data were collected from June 25 to July 9, 2020. Descriptive statistics, frequency analyses, a Mann-Whitney test on nonparametric measures of groups by age, and a one-tailed t test were completed. Results of the Telehealth Readiness Assessment tool were calculated. Open-text responses were organized and used to illustrate the findings.

RESULTS

Fifty-two perinatal nurses responded to the survey. Twenty-two (42%) completed all 90 questions. Partial answers were accepted. Synchronous live telehealth expanded 66% in the wake of COVID-19. Results showed that 37% (n = 15) of participants used telehealth at work, and 27% (n = 11) used it in getting care for themselves or a family member (M = 2.0, SD = 0.86; one-tailed t test, p = .25). In comparing nervousness in using technology with age, scores for those younger than 45 years (Mdn = 3) and those older than 45 years (Mdn = 2) showed no statistically significant difference, U(n_<45years = 15, n_{≥45 years} = 17) = 11, z = -0.02, p < .83. Overall, 46% (n = 26) indicated that telehealth could be extremely helpful or very helpful in reducing health care disparities and improving quality. Overall, telehealth readiness was ranked almost ready.

CONCLUSION

A telehealth readiness assessment may identify barriers and opportunities that can predict success and failure. Nurses generally accept technology and believe that telehealth could be useful in reducing poor maternal health outcomes and health care disparities.

Challenges in the development of digital public health interventions and mapped solutions: Findings from a scoping review

Background

“Digital public health” has emerged from an interest in integrating digital technologies into public health. However, significant challenges which limit the scale and extent of this digital integration in various public health domains have been described. We summarized the literature about these challenges and identified strategies to overcome them.

Methods

We adopted Arksey and O’Malley's framework (2005) integrating adaptations by Levac et al. (2010). OVID Medline, Embase, Google Scholar, and 14 government and intergovernmental agency websites were searched using terms related to “digital” and “public health.” We included conceptual and explicit descriptions of digital technologies in public health published in English between 2000 and June 2020. We excluded primary research articles about digital health interventions. Data were extracted using a codebook created using the European Public Health Association's conceptual framework for digital public health.

Results and analysis

Overall, 163 publications were included from 6953 retrieved articles with the majority (64%, n = 105) published between 2015 and June 2020. Nontechnical challenges to digital integration in public health concerned ethics, policy and governance, health equity, resource gaps, and quality of evidence. Technical challenges included fragmented and unsustainable systems, lack of clear standards, unreliability of available data, infrastructure gaps, and workforce capacity gaps. Identified strategies included securing political commitment, intersectoral collaboration, economic investments, standardized ethical, legal, and regulatory frameworks, adaptive research and evaluation, health workforce capacity building, and transparent communication and public engagement.

Conclusion

Developing and implementing digital public health interventions requires efforts that leverage identified strategies to overcome diverse challenges encountered in integrating digital technologies in public health.

Methodological Standards for the Design, Implementation, and Analysis of Randomized Trials in Cardiac Surgery: A Scientific Statement From the American Heart Association

Cardiac surgery presents specific methodological challenges in the design, implementation, and analysis of randomized controlled trials. The purposes of this scientific statement are to review key standards in cardiac surgery randomized trial design and implementation, and to provide recommendations for conducting and interpreting cardiac surgery trials. Recommendations include a careful evaluation of the suitability of the research question for a clinical trial, assessment of clinical equipoise, feasibility of enrolling a representative patient cohort, impact of practice variations on the safety and efficacy of the study intervention, likelihood and impact of crossover, and duration of follow-up. Trial interventions and study end points should be predefined, and appropriate strategies must be used to ensure adequate deliverability of the trial interventions. Every effort must be made to ensure a high completeness of follow-up; trial design and analytic techniques must be tailored to the specific research question and trial setting.

Patient-Reported Outcomes in Cardiovascular Trials

Patient-reported outcomes (PROs) are reports of a person's health status that provide a global perspective of patient well-being. PROs can be classified into 4 primary domains: global, mental, physical, and social health. In this descriptive review, we focus on how PROs can be used in cardiac clinical trials, with an emphasis on cardiac surgical trials for patients with coronary heart disease and heart failure. We also highlight ongoing challenges and provide specific suggestions and novel opportunities to advance cardiac clinical trials. Current challenges include the long-term measurement of PROs in clinical trials beyond 1 year, inconsistency in the choice of the outcome measures among studies, and the lack of measurement of PROs across multiple domains. Opportunities for advancement include measuring PROs using consumer health informatics tools, including returning information back to participants in formats that they can understand using visualization. Future opportunities include quantifying cohort-specific minimal clinically important differences for PROs.

Parent Website Engagement and Health Equity Implications in a Child Care-Based Wellness Intervention

OBJECTIVE

To evaluate demographic differences in parent website engagement in a child care-based wellness intervention.

DESIGN

Parent-reported demographic characteristics and observed website engagement were averaged by child care centers participating in the web-based intervention arm of a cluster randomized controlled trial of wellness interventions.

SETTING AND PARTICIPANTS

Parents of preschoolers in 17 Maryland child care centers.

MAIN OUTCOME MEASURES

Website engagement: (1) webpage views, (2) average time on webpage, and (3) intervention activity completion.

INTERVENTION

Parents received access to a website containing content on wellness-promoting topics (eg, parenting, nutrition, physical activity) and their child care center's activities.

ANALYSIS

Cross-sectional differences in website engagement by demographic characteristics were assessed using ANOVA.

RESULTS

Centers with a high proportion of parents who identified as other than non-Hispanic White and had less than a bachelor's degree had significantly fewer webpage views, and completed significantly fewer intervention activities compared with centers with parents who were predominantly non-Hispanic White and had more than a bachelor's degree.

CONCLUSIONS AND IMPLICATIONS

Demographic differences in parents' child care center website engagement represent disparities that could contribute to health inequities in parents' access to wellness-promoting material. Future efforts could identify factors that eliminate demographic disparities in parent engagement in web-based interventions.

Interdisciplinary approaches are fundamental to decode the biology of adversity

The COVID-19 pandemic has highlighted structural inequalities and racism promoting health disparities among communities of color. Taking cardiovascular disease as an example, we provide a framework for multidisciplinary efforts leveraging translational and epidemiologic approaches to decode the biological impacts of inequalities and racism and develop targeted interventions that promote health equity.

Social Media Use for Health Purposes: Systematic Review

Background

Social media has been widely used for health-related purposes, especially during the COVID-19 pandemic. Previous reviews have summarized social media uses for a specific health purpose such as health interventions, health campaigns, medical education, and disease outbreak surveillance. The most recent comprehensive review of social media uses for health purposes, however, was conducted in 2013. A systematic review that covers various health purposes is needed to reveal the new usages and research gaps that emerge in recent years.

Objective

This study aimed to provide a systematic review of social media uses for health purposes that have been identified in previous studies.

Methods

The researchers searched for peer-reviewed journal articles published between 2006 and 2020 in 12 databases covering medicine, public health, and social science. After coding the articles in terms of publication year, journal area, country, method, social media platform, and social media use for health purposes, the researchers provided a review of social media use for health purposes identified in these articles.

Results

This study summarized 10 social media uses for various health purposes by health institutions, health researchers and practitioners, and the public.

Conclusions

Social media can be used for various health purposes. Several new usages have emerged since 2013 including advancing health research and practice, social mobilization, and facilitating offline health-related services and events. Research gaps exist regarding advancing strategic use of social media based on audience segmentation, evaluating the impact of social media in health interventions, understanding the impact of health identity development, and addressing privacy concerns.

Assessing the relationship between patient-provider communication quality and quality of life among rural cancer survivors

PURPOSE

We explored relationships between patient-provider communication quality (PPCQ) and three quality of life (QOL) domains among self-identified rural cancer survivors: social well-being, functional well-being, and physical well-being. We hypothesized that high PPCQ would be associated with greater social and functional well-being, but be less associated with physical well-being, due to different theoretical mechanisms.

METHODS

All data were derived from the 2017-2018 Illinois Rural Cancer Assessment (IRCA). To measure PPCQ and QOL domains, we respectively used a dichotomous measure from the Medical Expenditure Panel Survey's Experience Cancer care tool (high, low/medium) and continuous measures from the Functional Assessment of Cancer Therapy-General (FACT-G).

RESULTS

Our sample of 139 participants was largely female, non-Hispanic White, married, and economically advantaged. After adjusting for demographic and clinical variables, patients who reported high PPCQ exhibited greater social well-being (Std. β = 0.20, 95% CI: 0.03, 0.35, p = 0.02) and functional well-being (Std. β = 0.20, 95% CI: 0.05, 0.35, p = 0.03) than patients with low/medium PPCQ. No association was observed between PPCQ and physical well-being (Std. β = 0.06, 95% CI: - 2.51, 0.21, p = 0.41). Sensitivity analyses found similar, albeit attenuated, patterns.

CONCLUSION

Our findings aligned with our hypotheses. Future researchers should explore potential mechanisms underlying these differential associations. Specifically, PPCQ may be associated with social and functional well-being through interpersonal mechanisms, but may not be as associated with physical well-being due to multiple contextual factor rural survivors disproportionately face (e.g., limited healthcare access, economic hardship) and stronger associations with clinical factors.

Health informatics and health equity: improving our reach and impact

Health informatics studies the use of information technology to improve human health. As informaticists, we seek to reduce the gaps between current healthcare practices and our societal goals for better health and healthcare quality, safety, or cost. It is time to recognize health equity as one of these societal goals-a point underscored by this Journal of the American Medical Informatics Association Special Focus Issue, "Health Informatics and Health Equity: Improving our Reach and Impact." This Special Issue highlights health informatics research that focuses on marginalized and underserved groups, health disparities, and health equity. In particular, this Special Issue intentionally showcases high-quality research and professional experiences that encompass a broad range of subdisciplines, methods, marginalized populations, and approaches to disparities. Building on this variety of submissions and other recent developments, we highlight contents of the Special Issue and offer an assessment of the state of research at the intersection of health informatics and health equity.

Advancing Food Allergy Through Epidemiology: Understanding and Addressing Disparities in Food Allergy Management and Outcomes

Epidemiological studies have been pivotal in advancing understanding of the etiology of food allergy and in guiding the development of evidence-based guidelines for food allergy prevention and clinical management. In recent years, as research into the population-level distribution and determinants of food allergy has accumulated, data indicate that substantial differences in food allergy outcomes and management exist across racial/ethnic and other socioeconomic strata. This clinical commentary aims to provide a review of existing epidemiological studies and shed valuable light on the disparate burden of food allergy. Emerging methods to quantify environmental exposure and food allergy outcomes are detailed, as are specific areas in which future research is warranted. We also highlight the role that epidemiology plays in advancing health equity and provide a framework as to how it can effectively inform health policy at all phases of the policy cycle-from initial population health assessment to the evaluation and refinement of specific health policies (ie, national guidelines to promote earlier introduction of peanut-containing foods for allergy prevention).

Multilevel mobile health approach to improve cardiovascular health in resource-limited communities with Step It Up: a randomised controlled trial protocol targeting physical activity

INTRODUCTION

Although physical activity (PA) reduces cardiovascular disease (CVD) risk, physical inactivity remains a pressing public health concern, especially among African American (AA) women in the USA. PA interventions focused on AA women living in resource-limited communities with scarce PA infrastructure are needed. Mobile health (mHealth) technology can increase access to PA interventions. We describe the development of a clinical protocol for a multilevel, community-based, mHealth PA intervention for AA women.

METHODS AND ANALYSIS

An mHealth intervention targeting AA women living in resource-limited Washington, DC communities was developed based on the socioecological framework for PA. Over 6 months, we will use a Sequential Multi-Assignment, Randomized Trial approach to compare the effects on PA of location-based remote messaging (named 'tailored-to-place') to standard remote messaging in an mHealth intervention. Participants will be randomised to a remote messaging intervention for 3 months, at which point the intervention strategy will adapt based on individuals' PA levels. Those who do not meet the PA goal will be rerandomised to more intensive treatment. Participants will be followed for another 3 months to determine the contribution of each mHealth intervention to PA level. This protocol will use novel statistical approaches to account for the adaptive strategy. Finally, effects of PA changes on CVD risk biomarkers will be characterised.

ETHICS AND DISSEMINATION

This protocol has been developed in partnership with a Washington, DC-area community advisory board to ensure feasibility and acceptability to community members. The National Institutes of Health Intramural IRB approved this research and the National Heart, Lung, and Blood Institute provided funding. Once published, results of this work will be disseminated to community members through presentations at community advisory board meetings and our quarterly newsletter.

TRIAL REGISTRATION NUMBER

NCT03288207.

Association of Genetic West African Ancestry, Blood Pressure Response to Therapy, and Cardiovascular Risk Among Self-Reported Black Individuals in the Systolic Blood Pressure Reduction Intervention Trial (SPRINT)

IMPORTANCE

Self-identified Black race is associated with higher hypertension prevalence and worse blood pressure (BP) control compared with other race/ethnic groups. The contribution of genetic West African ancestry to these racial disparities appears not to have been completely determined.

OBJECTIVE

To determine the association between the proportion of West African ancestry with the response to antihypertensive medication, BP control, kidney function, and risk of adverse cardiovascular (CV) events among self-identified Black individuals in the Systolic Blood Pressure Intervention Trial (SPRINT).

DESIGN, SETTING, AND PARTICIPANTS

This post hoc analysis of the SPRINT trial incorporated data from a multicenter study of self-identified Black participants with available West African ancestry proportion, estimated using 106 biallelic autosomal ancestry informative genetic markers. Recruitment started on October 20, 2010, and ended on August 20, 2015. Data were analyzed from May 2020 to September 2020.

MAIN OUTCOMES AND MEASURES

Trajectories of BP and kidney function parameters on follow-up of the trial were assessed across tertiles of the proportion of West African ancestry using linear mixed-effect modeling after adjustment for potential confounders. Multivariable adjusted Cox models evaluated the association of West African ancestry with the risk of composite CV events (nonfatal myocardial infarction, CV death, and heart failure event).

RESULTS

Among 2466 participants in the current analysis (1122 women [45.5%]; median West African ancestry, 81% [interquartile range, 73%-87%]), there were 120 composite CV events (4.9%) over a mean (SD) of 3.2 (0.9) years of follow-up. At baseline, mean (SD) high-density lipoprotein cholesterol levels were higher (tertile 3: 56.5 [15.0] mg/dL vs tertile 1: 54.2 [14.9] mg/dL; P = .006), smoking prevalence (never smoking: tertile 3: 367 [47.9%] vs tertile 1: 372 [42.2%]; P = .009) and mean (SD) Framingham Risk scores (tertile 3: 16.7 [9.7] vs tertile 1: 18.1 [10.2]; P = .01) were lower, and baseline BP was not different across increasing tertiles of West African ancestry. On follow-up, there was no evidence of differences in longitudinal trajectories of BP, kidney function parameters, or left ventricular mass (Cornell voltage by electrocardiogram) across tertiles of West African ancestry in either intensive or standard treatment arms. In adjusted Cox models, higher West African ancestry was associated with a lower risk of a composite CV event after adjustment for potential confounders (adjusted hazard ratio per 5% higher West African ancestry, 0.92 [95% CI, 0.85-0.99]).

CONCLUSIONS AND RELEVANCE

Among self-reported Black individuals enrolled in SPRINT, the trajectories of BP, kidney function, and left ventricular mass over time were not different across tertiles of the proportion of West African ancestry. A higher proportion of West African ancestry was associated with a modestly lower risk for CV events. These findings suggest that extrinsic and structural societal factors, more than genetic ancestry, may be the major drivers of the well-established racial disparity in cardiovascular health associated with hypertension.

Leveraging Interdisciplinary Teams to Develop and Implement Secure Websites for Behavioral Research: Applied Tutorial

Behavioral researchers are increasingly using interactive digital platforms, either as standalone or supplementary intervention tools, to facilitate positive changes in research participants’ health habits. Research-oriented interactive websites optimally offer a variety of participatory mediums, such as blogs, user-driven content, or health activities. Owing to the multidirectional features of interactive websites, and a corresponding need to protect research participants’ identity and data, it is paramount that researchers design ethical platforms that ensure privacy and minimize loss of anonymity and confidentiality. Authentication (ie, digital verification of one’s identity) of interactive sites is one viable solution to these concerns. Although previous publications have addressed ethical requirements related to authenticated platforms, few applied guidelines in the literature facilitate adherence to ethical principles and legally compliant study protocols during all phases of research website creation (feasibility, design, implementation, and maintenance). Notably, to remain compliant with ethical standards and study protocols, behavioral researchers must collaborate with interdisciplinary teams to ensure that the authenticated site remains secure and usable in all stages of the project. In this tutorial, we present a case study conducted at a large research university. Through iterative and practical recommendations, we detail lessons learned from collaborations with the Institutional Review Board, legal experts, and information technology teams. Although the intricacies of our applied tutorial may require adaptations based on each institution’s technological capacity, we are confident that the core takeaways are universal and thus useful to behavioral researchers creating ethically responsible and compliant interactive websites.

Developments in Privacy and Data Ownership in Mobile Health Technologies, 2016-2019

OBJECTIVES

To survey international regulatory frameworks that serve to protect privacy of personal data as a human right as well as to review the literature regarding privacy protections and data ownership in mobile health (mHealth) technologies between January 1, 2016 and June 1, 2019 in order to identify common themes.

METHODS

We performed a review of relevant literature available in English published between January 1, 2016 and June 1, 2019 from databases including PubMed, Google Scholar, and Web of Science, as well as relevant legislative background material. Articles out of scope (as detailed below) were eliminated. We categorized the remaining pool of articles and discrete themes were identified, specifically: concerns around data transmission and storage, including data ownership and the ability to re-identify previously de-identified data; issues with user consent (including the availability of appropriate privacy policies) and access control; and the changing culture and variable global attitudes toward privacy of health data.

RESULTS

Recent literature demonstrates that the security of mHealth data storage and transmission remains of wide concern, and aggregated data that were previously considered "de-identified" have now been demonstrated to be re-identifiable. Consumer-informed consent may be lacking with regard to mHealth applications due to the absence of a privacy policy and/or to text that is too complex and lengthy for most users to comprehend. The literature surveyed emphasizes improved access control strategies. This survey also illustrates a wide variety of global user perceptions regarding health data privacy.

CONCLUSION

The international regulatory framework that serves to protect privacy of personal data as a human right is diverse. Given the challenges legislators face to keep up with rapidly advancing technology, we introduce the concept of a "healthcare fiduciary" to serve the best interest of data subjects in the current environment.

Sexual Identity and Racial/Ethnic Differences in Awareness of Heart Attack and Stroke Symptoms: Findings From the National Health Interview Survey

PURPOSE

Investigate sexual identity and racial/ethnic differences in awareness of heart attack and stroke symptoms.

DESIGN

Cross-sectional.

SETTING

2014 and 2017 National Health Interview Survey.

SAMPLE

54 326 participants.

MEASURES

Exposure measures were sexual identity (heterosexual, gay/lesbian, bisexual, "something else") and race/ethnicity. Awareness of heart attack and stroke symptoms was assessed.

ANALYSIS

Sex-stratified logistic regression analyses to examine sexual identity and racial/ethnic differences in awareness of heart attack and stroke symptoms.

RESULTS

Gay men were more likely than heterosexual men to identify calling 911 as the correct action if someone is having a heart attack (adjusted odds ratio [AOR] = 2.16, 95% CI: 1.18-3.96). The majority of racial/ethnic minority heterosexuals reported lower rates of awareness of heart attack and stroke symptoms than White heterosexuals. Hispanic sexual minority women had lower awareness of heart attack symptoms than White heterosexual women (AOR = 0.43, 95% CI: 0.25-0.74), whereas Asian sexual minority women reported lower awareness of stroke symptoms (AOR = 0.25, 95% CI: 0.08-0.80). Hispanic (AOR = 0.52, 95% CI: 0.33-0.84) and Asian (AOR = 0.35, 95% CI: 0.14-0.84) sexual minority men reported lower awareness of stroke symptoms than White heterosexual men.

CONCLUSION

Hispanic and Asian sexual minorities had lower rates of awareness of heart attack and stroke symptoms. Health information technology may be a platform for delivering health education and targeted health promotion for sexual minorities of color.

Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review

Automation and digitalization, as long-term evolutionary processes, cause significant effects, such as the transformation of occupations and job profiles, changes to employment forms, and a more significant role for the platform economy, generating challenges for social policy. This systematic literature review aims to provide an overview of the research to date related to influences of the Industry 4.0 Revolution on human capital development and consumer behavior. A search on the Web of Science identified 160 papers that met the inclusion criteria. The major objectives aimed to identify: the main types of influences of the Industry 4.0 Revolution on human capital development and consumer behavior; the main opportunities and challenges for new directions in education associated with shifting the work environment; and the drivers for human capital development and consumer behavior through the lenses of the Industry 4.0 Revolution. The results revealed some key aspects for the development of human capital: information, new jobs, the Internet, technology, training, education, new skills, automation, communication, innovativeness, professionals, productivity, artificial intelligence, digitalization, e-recruitment, and the Internet of Things, as well as the main drivers of consumer behavior: information, e-commerce, digitalization, the Internet of Things, e-distribution, technology, digitalization, automation, personalized, performance, artificial intelligence, behavior intention, e-shopping, and data mining.

Racial/Ethnic Disparities in Sleep Health and Potential Interventions Among Women in the United States

While essential for health and wellness, the various dimensions of sleep health are generally not equitably distributed across the population, and reasons for racial/ethnic sleep disparities are not fully understood. In this review, we describe racial/ethnic sleep disparities and subsequent implications for health from prior and recently conducted epidemiological and clinical studies as well as the potential sleep interventions presented at the 2018 Research Conference on Sleep and the Health of Women at the National Institutes of Health. Given the clear connection between sleep and poor health outcomes such as cardiovascular disease, we concluded that future studies are needed to focus on sleep health in general, sleep disorders such as insomnia and obstructive sleep apnea in particular, and disparities in both sleep health and sleep disorders among women using an intersectional framework. Future research should also integrate sleep into interventional research focused on women's health as these results could address health disparities by informing, for example, future mobile health (mHealth) interventions prioritizing women beyond the clinical setting.

Helping Patients Be Better Patients: A Qualitative Study of Perceptions About Inpatient Portal Use

Introduction: As more hospitals introduce inpatient portals, it is increasingly important to understand their impact on patient experience and the care process. We conducted this study to learn from patients and care team members about their experience with an inpatient portal. Methods: We interviewed 120 patients and 433 care team members across a seven-hospital academic medical center that offers an inpatient portal to hospitalized patients. Interviewees were asked about their use of the inpatient portal and its impact on patient experience. Recorded interviews were transcribed and rigorously analyzed using both inductive and deductive methods. Results: We found that the inpatient portal was perceived to help patients be "better patients" by improving their ability to be informed about their health and by enabling them to be more involved in the care process. Care team members suggested portal use could be improved by addressing challenges with tablet administration, use of the patient education feature, and the functionality of the scheduling feature. Conclusions: Across interviewees, we found that inpatient portals were perceived to improve the hospital experience and increase empowerment for patients by offering information about care in a manner that allowed patients to join their care teams as active, participating members.

Bioecological Implications of Narrative Exposure Therapy in Low-Resource Settings: Individual, Family, Community, and Socio-Political Contexts

Traumatic stress can have detrimental effects on individuals, families, and communities. Narrative Exposure Therapy (NET) is an evidence-based intervention for decreasing individuals' posttraumatic stress disorder (PTSD) symptoms and has been tested in some of the most challenging contexts, such as in post-conflict refugee camps. Although the focus of NET is on reducing individual PTSD symptoms, the impact of NET can be seen beyond the individual level. The purpose of this manuscript was to examine some of the ecological implications of using NET with trauma-affected populations in low-resource settings. We highlight select implications of NET that extend beyond the individual to systemic effects at the family, community, and sociopolitical levels using several case examples. Finally, we outline limitations and future directions for improving the delivery of NET in settings with limited resources.