Advancing digital health Equity: Directions for behavioral and social science research

Digital health equity frameworks and key concepts: a scoping review

OBJECTIVES

Digital health equity, the opportunity for all to engage with digital health tools to support good health outcomes, is an emerging priority across the world. The field of digital health equity would benefit from a comprehensive and systematic understanding of digital health, digital equity, and health equity, with a focus on real-world applications. We conducted a scoping review to identify and describe published frameworks and concepts relevant to digital health equity interventions.

MATERIALS AND METHODS

We conducted a scoping review of published peer-reviewed literature guided by the PRISMA Extension for Scoping Reviews. We searched 5 databases for frameworks related to or applied to digital health or equity interventions. Using deductive and inductive approaches, we analyzed frameworks and concepts based on the socio-ecological model.

RESULTS

Of the 910 publications initially identified, we included 44 (4.8%) publications in our review that described 42 frameworks that sought to explain the ecosystem of digital and/or health equity, but none were comprehensive. From the frameworks we identified 243 concepts grouped into 43 categories including characteristics of individuals, communities, and organizations; societal context; perceived value of the intervention by and impacts on individuals, community members, and the organization; partnerships; and access to digital health services, in-person services, digital services, and data and information, among others.

DISCUSSION

We suggest a consolidated definition of digital health equity, highlight illustrative frameworks, and suggest concepts that may be needed to enhance digital health equity intervention development and evaluation.

CONCLUSION

The expanded understanding of frameworks and relevant concepts resulting from this study may inform communities and stakeholders who seek to achieve digital inclusion and digital health equity.

Global Evidence on the Sustainability of Telemedicine in Outpatient and Primary Care During the First 2 Years of the COVID-19 Pandemic: Scoping Review Using the Nonadoption, Abandonment, Scale-Up, Spread, and Sustainability (NASSS) Framework

BACKGROUND

The rapid implementation of telemedicine during the early stages of the COVID-19 pandemic raises questions about the sustainability of this intervention at the global level.

OBJECTIVE

This research examines the patient experience, health inequalities, and clinician-patient relationship in telemedicine during the COVID-19 pandemic's first 2 years, aiming to identify sustainability factors.

METHODS

This study was based on a prepublished protocol using the Joanna Briggs Institute (JBI) methodology for scoping reviews. We included academic and gray literature published between March 2020 and March 2022 according to these criteria: (1) population (any group); (2) concepts (patient experience, clinician-patient relationship, health inequalities); (3) context (telemedicine in primary and outpatient care); (4) excluding studies pertaining to surgery, oncology, and (inpatient) psychiatry. We searched Ovid Medline/PubMed (January 1, 2022), Web of Science (March 19, 2022), Google/Google Scholar (February and March 2022), and others. The risk of bias was not assessed as per guidance. We used an analysis table for the studies and color-coded tabular mapping against a health care technology adoption framework to identify sustainability (using double-blind extraction).

RESULTS

Of the 134 studies that met our criteria, 49.3% (66/134) reported no specific population group. Regarding the concepts, 41.8% (56/134) combined 2 of the concepts studied. The context analysis identified that 56.0% (75/134) of the studies referred to, according to the definition in the United Kingdom, an outpatient (ambulatory care) setting, and 34.3% (46/134) referred to primary care. The patient experience analysis reflected positive satisfaction and sustained access during lockdowns. The clinician-patient relationship impacts were nuanced, affecting interaction and encounter quality. When mapping to the nonadoption, abandonment, scale-up, spread, and sustainability (NASSS) framework, 81.3% (109/134) of the studies referenced the innovation's sustainability. Although positive overall, there were some concerns about sustainability based on quality, eHealth literacy, and access to health care for vulnerable migrants and the uninsured.

CONCLUSIONS

We identified confusion between the concepts of patient experience and patient satisfaction; therefore, future research could focus on established frameworks to qualify the patient experience across the whole pathway and not just the remote encounter. As expected, our research found mainly descriptive analyses, so there is a need for more robust evidence methods identifying impacts of changes in treatment pathways. This study illustrates modern methods to decolonize academic research by using gray literature extracts in other languages. We acknowledge that the use of Google to identify gray literature at the global level and in other languages has implications on reproducibility. We did not consider synchronous text-based communication.

TRIAL REGISTRATION

Open Science Framework 4z5ut; https://osf.io/4z5ut/.

The bias algorithm: how AI in healthcare exacerbates ethnic and racial disparities - a scoping review

This scoping review examined racial and ethnic bias in artificial intelligence health algorithms (AIHA), the role of stakeholders in oversight, and the consequences of AIHA for health equity. Using the PRISMA-ScR guidelines, databases were searched between 2020 and 2024 using the terms racial and ethnic bias in health algorithms resulting in a final sample of 23 sources. Suggestions for how to mitigate algorithmic bias were compiled and evaluated, roles played by stakeholders were identified, and governance and stewardship plans for AIHA were examined. While AIHA represent a significant breakthrough in predictive analytics and treatment optimization, regularly outperforming humans in diagnostic precision and accuracy, they also present serious challenges to patient privacy, data security, institutional transparency, and health equity. Evidence from extant sources including those in this review showed that AIHA carry the potential to perpetuate health inequities. While the current study considered AIHA in the US, the use of AIHA carries implications for global health equity.

Practical guidelines for developing digital health solutions to increase equity in dementia care in the UK

Background

Digital Healthcare Solutions (DHS) are transforming healthcare by improving patients' experiences, safety and quality of care. However, despite all the proposed and observed advantages of DHS, a growing body of research suggests that these DHS are not equally accessible to all. This research aimed to assess whether equity frameworks for digital health solutions can be used to guide the development of digital health solutions to increase access to care for dementia patients in the UK and, thereafter, develop practical guidelines to guide the design of equitable DHS products to address this growing issue.

Methods

A scoping review across four databases and grey literature was done to identify equity frameworks and design principles for DHS. The equity frameworks and design principles were analyzed to make recommendations on increasing equity in the product.

Results

34 publications and reports met the inclusion criteria. Four equity frameworks were analyzed and one was selected. Equitable product development guidelines were created based on patient-centered design principles.

Conclusion

Although DHS can increase inequity in healthcare, concrete methods and practical guidelines can minimize this if DHS developers design for maximum equity and closely collaborate with healthcare providers and end-users in product development. Future research could use these guidelines to test usability for developers and investigate other equitable approaches like institutional barriers to adoption.

Addressing disparities: A systematic review of digital health equity for adolescent obesity prevention and management interventions

Adolescence is a high-risk life stage for obesity. Digital strategies are needed to prevent and manage obesity among adolescents. We assessed if digital health interventions are contributing to disparities in obesity outcomes and assessed the adequacy of reporting of digital health equity criteria across four levels of influence within the digital environment. The systematic search was conducted on 10 major electronic databases and limited to randomized controlled trials (RCTs) or cluster-RCTs for prevention or management of obesity among 10-19 year olds. Primary outcome was mean body mass index (BMI), or BMI z-score change. The Adapted Digital Health Equity Assessment Framework was applied to all studies. Thirty-three articles (27 unique studies with 8483 participants) were identified, with only eight studies targeting adolescents from disadvantaged populations. Post-intervention, only three studies reported significantly lower BMI outcomes in the intervention compared to control. Of the 432 digital health equity criteria assessed across 27 studies, 82% of criteria were "not addressed." Studies are not addressing digital health equity criteria or inadequately reporting information to assess if digital health interventions are contributing to disparities in obesity outcomes. Enhanced reporting is needed to inform decision-makers and support the development of equitable interventions to prevent and manage obesity among adolescents.

Young Black and White adults prefer in-person to telehealth for primary care visits and group health promotion programs

Telehealth utilization has increased since the coronavirus disease 2019 pandemic, reducing barriers to healthcare and, potentially, reducing participation in group health-promotion interventions. However, preferences for telehealth versus in-person formats have not been established. To examine preferences for telehealth and in-person format for primary care and group health-promotion interventions among Black and White women and men aged 20-39. We hypothesized that respondents would report a higher preference for telehealth than in-person appointments. This cross-sectional survey study recruited participants to answer questions about access to technology and preferences for telehealth and in-person formats of primary care and group health promotion. Respondents (n = 404) included similar proportions of White women (24.3%, 26.4 ± 4.3 years), Black women (25.0%, 29.0 ± 6.1 years), White men (25.9%, 32.8 ± 4.5 years), and Black men (24.8%, 30.6 ± 5.2 years). About 98.5% reported having a smartphone, and 80.4% had access to a computer with a camera. Preference ratings were higher for in-person visits, compared to telehealth visits, for both primary care (M = 3.86 ± 1.13 vs. M = 2.87 ± 1.18) and group health promotion (M = 3.72 ± 1.12 vs. M = 3.04 ± 1.20) F's(1,400) > 59.0, P's < .001. Most young adults have access to technology, supporting the feasibility of telehealth interventions. However, telehealth preference ratings were lower than in-person appointments. Preferences for delivery formats should be considered when designing behavioral interventions to promote health and prevent disease.

Exploring the Feasibility and Acceptability of Technological Interventions to Prevent Adolescents' Exposure to Online Pornography: Qualitative Research

BACKGROUND

Amid growing concern over children's access to online pornography, policy makers are looking toward new and emerging technological concepts for unexplored solutions including artificial intelligence and facial recognition.

OBJECTIVE

This study sought to explore and ideate emerging technological interventions that are feasible, acceptable, and effective in preventing and controlling the exposure of young people to online pornographic material.

METHODS

We conducted a series of qualitative co-design workshops with both adult (n=8; aged 32-53 years) and adolescent participants (n=4; aged 15-17 years) to ideate potential technological interventions that are feasible, acceptable, and effective at preventing and controlling the exposure of young people to online pornographic material. A story stem methodology was used to explore participants' attitudes toward two unique technological prototypes.

RESULTS

Participants expressed a generally favorable view of the proposed technological concepts but remained unconvinced of their overall utility and effectiveness in preventing the intentional viewing of pornography by young people. Age-appropriate parent-child conversations remained participants' preferred approach to mitigating potential harms from pornographic material, with parents also expressing a desire for more educational resources to help them better navigate these discussions. User privacy and data security were a primary concern for participants, particularly surrounding the use and collection of biometric data.

CONCLUSIONS

Internationally, policy makers are taking action to use age assurance technologies to prevent children's access to online pornography. It is important to consider the needs and opinions of parents and young people in the use and implementation of these technologies. Participants in this study were generally supportive of new and emerging technologies as useful tools in preventing the accidental exposure of young people to online pornographic material. However, participants remained less convinced of their ability to avert intentional viewing, with substantial concerns regarding technological efficacy, adaptability, and user privacy. Further, co-design and prototype refinement are needed to better understand user acceptability and comfortability of these new technological interventions, alongside additional research exploring sociocultural differences in information needs and user experiences.

Urgent need for treatment addressing co-use of tobacco and cannabis: An updated review and considerations for future interventions

BACKGROUND

There are no clinical practice guidelines addressing the treatment of tobacco-cannabis co-use and a dearth of studies to inform treatment for co-use. This narrative review aims to (1) summarize promising intervention components used in published co-use treatment studies, (2) describe key gaps and emerging issues in co-use, and (3) provide recommendations and considerations in the development and evaluation of co-use interventions.

METHODS

We conducted a literature search in June 2024 across several databases to update previous reviews on tobacco-cannabis co-use treatment. We found 9 published intervention studies that specifically addressed treatment for both substances. Data from these studies were manually extracted and summarized.

RESULTS

Most of the 9 included studies (1) focused on acceptability and/or feasibility, (2) provided both psychosocial/behavioral and pharmacotherapy intervention components, (3) were conducted in adults, and (4) were delivered in-person, with some having digital asynchronous components, for a 5-to-12-week duration. The most common psychosocial/behavioral strategies used were Cognitive Behavioral Therapy, Motivational Interviewing, and Contingency Management; while the most common pharmacotherapy was Nicotine Replacement Therapy. There was no evidence of compensatory use of tobacco or cannabis when providing simultaneous treatment for both substances.

CONCLUSIONS

The literature to date provides support for well-integrated multi-component interventions of psychosocial/behavioral and pharmacotherapy strategies for co-use treatment. This review reinforces an urgent need for treatments targeting tobacco and cannabis co-use. Future interventions should address key gaps, including co-use of vaporized products among youth and young adults, tailored interventions for priority populations, and digital applications to increase reach and advance health equity.

Exploring Social Support Strategies and Socio-Cultural Factors Influencing Social Isolation and Loneliness: The Role of Digital Literacy

BACKGROUND/OBJECTIVES

Social isolation (SI) and loneliness (L) are the long-standing critical concerns impacting the mental well-being of older adults. The COVID-19 pandemic has exacerbated existing vulnerabilities, leading to a notable rise in perceived social isolation (PSI) and its associated risks among an aging population. Reportedly, nearly 35% of older Americans felt lonely before the pandemic, with the pandemic further intensifying these feelings. This commentary examines the multifaceted factors contributing to PSI, including demographic and socio-economic characteristics.

METHODS

We outline the health risks associated with PSI, including cardiovascular diseases and mental health conditions.

RESULTS

This commentary addresses the potential of information and communication technology (ICT) to alleviate loneliness, despite significant barriers such as the digital divide and technological anxiety among older adults.

CONCLUSIONS

This commentary advocates targeted digital literacy interventions and theoretical frameworks to enhance technology adoption and mitigate PSI, ultimately aiming to improve health outcomes and quality of life for the aging population.

Advancing health equity and the role of digital health technologies: a scoping review protocol

INTRODUCTION

Healthcare systems around the world exhibit inherent systemic inequities that disproportionately impact marginalised populations. Digital health technologies (DHTs) hold promising potential to address these inequities and to play a pivotal role in advancing health equity. However, there is a notable gap regarding a comprehensive and structured overview of existing frameworks and guidelines on advancing health equity and a clear understanding of the potential of DHTs in their implementation. To this end, our primary objectives are first to identify prevalent frameworks and guidelines that promote health equity and second to pinpoint the contemporary role of DHTs as an avenue for implementing these frameworks and guidelines. This synthesis will guide future DHTs, ensuring equitable accessibility and effectiveness and ultimately contributing to enhancing health equity among marginalised populations.

METHODS AND ANALYSIS

This work adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Scoping Reviews. To identify pertinent evidence, we will employ seven electronic databases (PubMed, EMBASE, Cochrane, PsycINFO, Scopus, Web of Science and WISO) encompassing the fields of medicine, healthcare and social sciences. Moreover, selected grey literature will be considered. We will include primary and secondary studies published in English between 2010 and 2023 that focus on (technology and non-technology-based) frameworks and guidelines for health equity improvement. Each article will undergo an independent assessment for eligibility, followed by the extraction of pertinent data from eligible sources. Subsequently, the extracted data will be subjected to qualitative and quantitative analyses, and findings will be presented using narrative and descriptive formats.

ETHICS AND DISSEMINATION

Ethical approval is deemed unnecessary for this scoping review, as it involves synthesising existing knowledge. The findings from this study will be disseminated through peer-reviewed publications.

PROTOCOL REGISTRATION

https://osf.io/94pht.

Digital Health Readiness: Making Digital Health Care More Inclusive

This paper proposes an approach to assess digital health readiness in clinical settings to understand how prepared, experienced, and equipped individual people are to participate in digital health activities. Existing digital health literacy and telehealth prediction tools exist but do not assess technological aptitude for particular tasks or incorporate available electronic health record data to improve efficiency and efficacy. As such, we propose a multidomain digital health readiness assessment that incorporates a person's stated goals and motivations for use of digital health, a focused digital health literacy assessment, passively collected data from the electronic health record, and a focused aptitude assessment for critical skills needed to achieve a person's goals. This combination of elements should allow for easy integration into clinical workflows and make the assessment as actionable as possible for health care providers and in-clinic digital health navigators. Digital health readiness profiles could be used to match individuals with support interventions to promote the use of digital tools like telehealth, mobile apps, and remote monitoring, especially for those who are motivated but do not have adequate experience. Moreover, while effective and holistic digital health readiness assessments could contribute to increased use and greater equity in digital health engagement, they must also be designed with inclusivity in mind to avoid worsening known disparities in digital health care.

Equity in Digital Mental Health Interventions in the United States: Where to Next?

Health care technologies have the ability to bridge or hinder equitable care. Advocates of digital mental health interventions (DMHIs) report that such technologies are poised to reduce the documented gross health care inequities that have plagued generations of people seeking care in the United States. This is due to a multitude of factors such as their potential to revolutionize access; mitigate logistical barriers to in-person mental health care; and leverage patient inputs to formulate tailored, responsive, and personalized experiences. Although we agree with the potential of DMHIs to advance health equity, we articulate several steps essential to mobilize and sustain meaningful forward progression in this endeavor, reflecting on decades of research and learnings drawn from multiple fields of expertise and real-world experience. First, DMHI manufacturers must build diversity, equity, inclusion, and belonging (DEIB) processes into the full spectrum of product evolution itself (eg, product design, evidence generation) as well as into the fabric of internal company practices (eg, talent recruitment, communication principles, and advisory boards). Second, awareness of the DEIB efforts-or lack thereof-in DMHI research trials is needed to refine and optimize future study design for inclusivity as well as proactively address potential barriers to doing so. Trials should incorporate thoughtful, inclusive, and creative approaches to recruitment, enrollment, and measurement of social determinants of health and self-identity, as well as a prioritization of planned and exploratory analyses examining outcomes across various groups of people. Third, mental health care advocacy, research funding policies, and local and federal legislation can advance these pursuits, with directives from the US Preventive Services Taskforce, National Institutes of Health, and Food and Drug Administration applied as poignant examples. For products with artificial intelligence/machine learning, maintaining a "human in the loop" as well as prespecified and adaptive analytic frameworks to monitor and remediate potential algorithmic bias can reduce the risk of increasing inequity. Last, but certainly not least, is a call for partnership and transparency within and across ecosystems (academic, industry, payer, provider, regulatory agencies, and value-based care organizations) to reliably build health equity into real-world DMHI product deployments and evidence-generation strategies. All these considerations should also extend into the context of an equity-informed commercial strategy for DMHI manufacturers and health care organizations alike. The potential to advance health equity in innovation with DMHI is apparent. We advocate the field's thoughtful and evergreen advancement in inclusivity, thereby redefining the mental health care experience for this generation and those to come.

The Digital Determinants of Health: A Guide for Competency Development in Digital Care Delivery for Health Professions Trainees

Unlabelled

Health care delivery is undergoing an accelerated period of digital transformation, spurred in part by the COVID-19 pandemic and the use of "virtual-first" care delivery models such as telemedicine. Medical education has responded to this shift with calls for improved digital health training, but there is as yet no universal understanding of the needed competencies, domains, and best practices for teaching these skills. In this paper, we argue that a "digital determinants of health" (DDoH) framework for understanding the intersections of health outcomes, technology, and training is critical to the development of comprehensive digital health competencies in medical education. Much like current social determinants of health models, the DDoH framework can be integrated into undergraduate, graduate, and professional education to guide training interventions as well as competency development and evaluation. We provide possible approaches to integrating this framework into training programs and explore priorities for future research in digitally-competent medical education.

Digital health in stroke: a narrative review

Digital health is significantly transforming stroke care, particularly in remote and economically diverse regions, by harnessing mobile and wireless technologies, big data, and artificial intelligence (AI). Despite the promising advancements, a notable gap exists in the formal clinical validation of many digital health applications, raising concerns about their efficacy and safety in real-world clinical settings. Our review systematically explores the landscape of digital health in stroke care, assessing the development, validation, and implementation of various digital tools. We adopted a comprehensive search strategy, scrutinizing peer-reviewed articles published between January 2015 and January 2024, to gather evidence on the effectiveness of digital health interventions. A rigorous quality assessment was conducted to ensure the reliability of the included studies, with findings synthesized to underscore key technological innovations and their clinical outcomes. Ethical considerations were meticulously observed to maintain data confidentiality and integrity. Our findings highlight the transformative potential of mobile health technologies, AI, and telemedicine in improving diagnostic accuracy, treatment efficacy, and patient outcomes in stroke care. Our paper delves into the evolution and impact of digital health in cerebrovascular prevention, diagnosis, rehabilitation and stroke treatment, emphasizing the digital health's role in enhancing access to expert care, mitigating treatment delays and improving outcomes. However, the review also underscores the critical need for rigorous clinical validation and ethical considerations in the development and deployment of digital health technologies to ensure their safe and effective integration into stroke care practices.

Implementation of a Cell-Enabled Remote Blood Pressure Monitoring Program During the Postpartum Period at a Safety-Net Hospital

BACKGROUND

Postpartum hypertension is a risk factor for severe maternal morbidity; however, barriers exist for diagnosis and treatment. Remote blood pressure (BP) monitoring programs are an effective tool for monitoring BP and may mitigate maternal health disparities. We aimed to describe and evaluate engagement in a remote BP monitoring program on BP ascertainment during the first 6-weeks postpartum among a diverse patient population.

METHODS AND RESULTS

A postpartum remote BP monitoring program, using cell-enabled technology and delivered in multiple languages, was implemented at a large safety-net hospital. Eligible patients are those with hypertensive disorders before or during pregnancy. We describe characteristics of patients enrolled from January 2021 to May 2022 and examine program engagement by patient characteristics. Linear regression models were used to calculate mean differences and 95% CIs between characteristics and engagement metrics. We describe the prevalence of patients with BP ≥140/or >90 mm Hg. Among 1033 patients, BP measures were taken an average of 15.2 days during the 6-weeks, with the last measurement around 1 month (mean: 30.9 days), and little variability across race or ethnicity. Younger maternal age (≤25 years) was associated with less frequent measures (mean difference, -4.3 days [95% CI: -6.1 to -2.4]), and grandmultiparity (≥4 births) was associated with shorter engagement (mean difference, -3.5 days [95% CI, -6.1 to -1.0]). Prevalence of patients with BP ≥140/or >90 mm Hg was 62.3%, with differences by race or ethnicity (Black: 72.9%; Hispanic: 52.4%; White: 56.0%).

CONCLUSIONS

A cell-enabled postpartum remote BP monitoring program was successful in uniformly monitoring BP and capturing hypertension among a diverse, safety-net hospital population.

Recommendations to advance digital health equity: a systematic review of qualitative studies

The World Health Organisation advocates Digital Health Technologies (DHTs) for advancing population health, yet concerns about inequitable outcomes persist. Differences in access and use of DHTs across different demographic groups can contribute to inequities. Academics and policy makers have acknowledged this issue and called for inclusive digital health strategies. This systematic review synthesizes literature on these strategies and assesses facilitators and barriers to their implementation. We searched four large databases for qualitative studies using terms relevant to digital technology, health inequities, and socio-demographic factors associated with digital exclusion summarised by the CLEARS framework (Culture, Limiting conditions, Education, Age, Residence, Socioeconomic status). Following the PRISMA guidelines, 10,401 articles were screened independently by two reviewers, with ten articles meeting our inclusion criteria. Strategies were grouped into either outreach programmes or co-design approaches. Narrative synthesis of these strategies highlighted three key themes: firstly, using user-friendly designs, which included software and website interfaces that were easy to navigate and compatible with existing devices, culturally appropriate content, and engaging features. Secondly, providing supportive infrastructure to users, which included devices, free connectivity, and non-digital options to help access healthcare. Thirdly, providing educational support from family, friends, or professionals to help individuals develop their digital literacy skills to support the use of DHTs. Recommendations for advancing digital health equity include adopting a collaborative working approach to meet users' needs, and using effective advertising to raise awareness of the available support. Further research is needed to assess the feasibility and impact of these recommendations in practice.

Artificial intelligence in neurology: opportunities, challenges, and policy implications

Neurological conditions are the leading cause of disability and mortality combined, demanding innovative, scalable, and sustainable solutions. Brain health has become a global priority with adoption of the World Health Organization's Intersectoral Global Action Plan in 2022. Simultaneously, rapid advancements in artificial intelligence (AI) are revolutionizing neurological research and practice. This scoping review of 66 original articles explores the value of AI in neurology and brain health, systematizing the landscape for emergent clinical opportunities and future trends across the care trajectory: prevention, risk stratification, early detection, diagnosis, management, and rehabilitation. AI's potential to advance personalized precision neurology and global brain health directives hinges on resolving core challenges across four pillars-models, data, feasibility/equity, and regulation/innovation-through concerted pursuit of targeted recommendations. Paramount actions include swift, ethical, equity-focused integration of novel technologies into clinical workflows, mitigating data-related issues, counteracting digital inequity gaps, and establishing robust governance frameworks balancing safety and innovation.

Ethical and Equitable Digital Health Research: Ensuring Self-Determination in Data Governance for Racialized Communities

Recent studies highlight the need for ethical and equitable digital health research that protects the rights and interests of racialized communities. We argue for practices in digital health that promote data self-determination for these communities, especially in data collection and management. We suggest that researchers partner with racialized communities to curate data that reflects their wellness understandings and health priorities, and respects their consent over data use for policy and other outcomes. These data governance approach honors and builds on Indigenous Data Sovereignty (IDS) decolonial scholarship by Indigenous and non-indigenous researchers and its adaptations to health research involving racialized communities from former European colonies in the global South. We discuss strategies to practice equity, diversity, inclusion, accessibility and decolonization (EDIAD) principles in digital health. We draw upon and adapt the concept of Precision Health Equity (PHE) to emphasize models of data sharing that are co-defined by racialized communities and researchers, and stress their shared governance and stewardship of data that is generated from digital health research. This paper contributes to an emerging research on equity issues in digital health and reducing health, institutional, and technological disparities. It also promotes the self-determination of racialized peoples through ethical data management.

Telemedicine, e-Health, and Digital Health Equity: A Scoping Review

Background

With the progressive digitization of people's lives and in the specific healthcare context, the issue of equity in the healthcare domain has extended to digital environments or e-environments, assuming the connotation of "Digital Health Equity" (DHE). Telemedicine and e-Health, which represent the two main e-environments in the healthcare context, have shown great potential in the promotion of health outcomes, but there can be unintended consequences related to the risk of inequalities. In this paper, we aimed to review papers that have investigated the topic of Digital Health Equity in Telemedicine and e-Health [definition(s), advantages, barriers and risk factors, interventions].

Methods

We conducted a scoping review according to the methodological framework proposed in PRISMA-ScR guidelines on the relationship between Digital Health Equity and Telemedicine and e-Health via Scopus and Pubmed electronic databases. The following inclusion criteria were established: papers on the relationship between Digital Health Equity and Telemedicine and/or e-Health, written in English, and having no time limits. All study designs were eligible, including those that have utilized qualitative and quantitative methods, methodology, or guidelines reports, except for meta-reviews.

Results

Regarding Digital Health Equity in Telemedicine and e-Health, even if there is no unique definition, there is a general agreement on the idea that it is a complex and multidimensional phenomenon. When promoting Digital Health Equity, some people may incur some risk/s of inequities and/or they may meet some obstacles. Regarding intervention, some authors have proposed a specific field/level of intervention, while other authors have discussed multidimensional interventions based on interdependence among the different levels and the mutually reinforcing effects between all of them.

Conclusion

In summary, the present paper has discussed Digital Health Equity in Telemedicine and e-Health. Promoting equity of access to healthcare is a significant challenge in contemporary times and in the near future. While on the one hand, the construct "equity" applied to the health context highlights the importance of creating and sustaining the conditions to allow anyone to be able to reach (and develop) their "health potential", it also raises numerous questions on "how this can happen". An overall and integrated picture of all the variables that promote DHE is needed, taking into account the interdependence among the different levels and the mutually reinforcing effects between all of them.

Socio-ethical challenges and opportunities for advancing diversity, equity, and inclusion in digital medicine

Digitalization in medicine offers a significant opportunity to transform healthcare systems by providing novel digital tools and services to guide personalized prevention, prediction, diagnosis, treatment and disease management. This transformation raises a number of novel socio-ethical considerations for individuals and society as a whole, which need to be appropriately addressed to ensure that digital medical devices (DMDs) are widely adopted and benefit all patients as well as healthcare service providers. In this narrative review, based on a broad literature search in PubMed, Web of Science, Google Scholar, we outline five core socio-ethical considerations in digital medicine that intersect with the notions of equity and digital inclusion: (i) access, use and engagement with DMDs, (ii) inclusiveness in DMD clinical trials, (iii) algorithm fairness, (iv) surveillance and datafication, and (v) data privacy and trust. By integrating literature from multidisciplinary fields, including social, medical, and computer sciences, we shed light on challenges and opportunities related to the development and adoption of DMDs. We begin with an overview of the different types of DMDs, followed by in-depth discussions of five socio-ethical implications associated with their deployment. Concluding our review, we provide evidence-based multilevel recommendations aimed at fostering a more inclusive digital landscape to ensure that the development and integration of DMDs in healthcare mitigate rather than cause, maintain or exacerbate health inequities.

Advancing healthcare equity through dissemination and implementation science

OBJECTIVE

To provide guiding principles and recommendations for how approaches from the field of dissemination and implementation (D&I) science can advance healthcare equity.

DATA SOURCES AND STUDY SETTING

This article, part of a special issue sponsored by the Agency for Healthcare Research and Quality (AHRQ), is based on an outline drafted to support proceedings of the 2022 AHRQ Health Equity Summit and further revised to reflect input from Summit attendees.

STUDY DESIGN

This is a narrative review of the current and potential applications of D&I approaches for understanding and advancing healthcare equity, followed by discussion and feedback with Summit attendees.

DATA COLLECTION/EXTRACTION METHODS

We identified major themes in narrative and systematic reviews related to D&I science, healthcare equity, and their intersections. Based on our expertise, and supported by synthesis of published studies, we propose recommendations for how D&I science is relevant for advancing healthcare equity. We used iterative discussions internally and at the Summit to refine preliminary findings and recommendations.

PRINCIPAL FINDINGS

We identified four guiding principles and three D&I science domains with strong promise for accelerating progress toward healthcare equity. We present eight recommendations and more than 60 opportunities for action by practitioners, healthcare leaders, policy makers, and researchers.

CONCLUSIONS

Promising areas for D&I science to impact healthcare equity include the following: attention to equity in the development and delivery of evidence-based interventions; the science of adaptation; de-implementation of low-value care; monitoring equity markers; organizational policies for healthcare equity; improving the economic evaluation of implementation; policy and dissemination research; and capacity building.