Just-in-time adaptive interventions for adolescent and young adult health and well-being: protocol for a systematic review.

INTRODUCTION: Health behaviours such as exercise and diet strongly influence well-being and disease risk, providing the opportunity for interventions tailored to diverse individual contexts. Precise behaviour interventions are critical during adolescence and young adulthood (ages 10-25), a formative period shaping lifelong well-being. We will conduct a systematic review of just-in-time adaptive interventions (JITAIs) for health behaviour and well-being in adolescents and young adults (AYAs). A JITAI is an emerging digital health design that provides precise health support by monitoring and adjusting to individual, specific and evolving contexts in real time. Despite demonstrated potential, no published reviews have explored how JITAIs can dynamically adapt to intersectional health factors of diverse AYAs. We will identify the JITAIs' distal and proximal outcomes and their tailoring mechanisms, and report their effectiveness. We will also explore studies' considerations of health equity. This will form a comprehensive assessment of JITAIs and their role in promoting health behaviours of AYAs. We will integrate evidence to guide the development and implementation of precise, effective and equitable digital health interventions for AYAs. METHODS AND ANALYSIS: In adherence to Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines, we will conduct a systematic search across multiple databases, including CENTRAL, MEDLINE and WHO Global Index Medicus. We will include peer-reviewed studies on JITAIs targeting health of AYAs in multiple languages. Two independent reviewers will conduct screening and data extraction of study and participant characteristics, JITAI designs, health outcome measures and equity considerations. We will provide a narrative synthesis of findings and, if data allows, conduct a meta-analysis. ETHICS AND DISSEMINATION: As we will not collect primary data, we do not require ethical approval. We will disseminate the review findings through peer-reviewed journal publication, conferences and stakeholder meetings to inform participatory research. PROSPERO REGISTRATION NUMBER: CRD42023473117.

Healthcare workers' perspectives on a prescription phone program to meet the health equity needs of patients in the emergency department: a qualitative study.

OBJECTIVES: People experiencing homelessness and marginalization face considerable barriers to accessing healthcare services. Increased reliance on technology within healthcare has exacerbated these inequities. We evaluated a hospital-based prescription phone program aimed to reduce digital health inequities and improve access to services among marginalized patients in Emergency Departments. We examined the perceived outcomes of the program and the contextual barriers and facilitators affecting outcomes. METHODS: We conducted a constructivist qualitative program evaluation at two urban, academic hospitals in Toronto, Ontario. We interviewed 12 healthcare workers about their perspectives on program implementation and outcomes and analyzed the interview data using reflexive thematic analysis. RESULTS: Our analyses generated five interrelated program outcomes: building trust with patients, facilitating independence in healthcare, bridging sectors of care, enabling equitable care for marginalized populations, and mitigating moral distress among healthcare workers. Participants expressed that phone provision is critical for adequately serving patients who face barriers to accessing health and social services, and for supporting healthcare workers who often lack resources to adequately serve these patients. We identified key contextual enablers and challenges that may influence program outcomes and future implementation efforts. CONCLUSIONS: Our findings suggest that providing phones to marginalized patient populations may address digital and social health inequities; however, building trusting relationships with patients, understanding the unique needs of these populations, and operating within a biopsychosocial model of health are key to program success.

ABSTRAIT: OBJECTIFS: Les personnes sans abri et marginalisées font face à des obstacles considérables pour accéder aux services de santé. Le recours accru à la technologie dans les soins de santé a exacerbé ces inégalités. Nous avons évalué un programme de téléphones d'ordonnance en milieu hospitalier visant à réduire les inégalités en santé numérique et à améliorer l'accès aux services chez les patients marginalisés des services d'urgence. Nous avons examiné les résultats perçus du programme et les obstacles contextuels et facilitateurs qui influent sur les résultats. MéTHODES: Nous avons mené une évaluation qualitative constructiviste de programmes dans deux hôpitaux universitaires urbains de Toronto, en Ontario. Nous avons interviewé 12 travailleurs de la santé au sujet de leurs points de vue sur la mise en œuvre et les résultats du programme et analysé les données des entrevues au moyen d'une analyse thématique réflexive. RéSULTATS: Nos analyses ont généré cinq résultats de programme interdépendants : établir la confiance avec les patients, faciliter l'indépendance dans les soins de santé, rapprocher les secteurs de soins, permettre des soins équitables pour les populations marginalisées et atténuer la détresse morale chez les travailleurs de la santé. Les participants ont indiqué que la fourniture de services téléphoniques est essentielle pour servir adéquatement les patients qui font face à des obstacles à l'accès aux services de santé et aux services sociaux, et pour soutenir les travailleurs de la santé qui manquent souvent de ressources pour servir adéquatement ces patients. Nous avons cerné les principaux catalyseurs contextuels et les défis qui pourraient influer sur les résultats du programme et les efforts de mise en œuvre futurs. CONCLUSION: Nos résultats suggèrent que la fourniture de téléphones aux populations de patients marginalisés peut remédier aux inégalités numériques et sociales en matière de santé; cependant, établir des relations de confiance avec les patients, comprendre les besoins uniques de ces populations, La réussite du programme repose sur le fait de fonctionner dans un modèle biopsychosocial de la santé.

Using community-based participatory research methods to build the foundation for an equitable integrated health data system within a Canadian urban context.

Health inequalities amplified by the COVID-19 pandemic have disproportionately affected racialized and equity-deserving communities across Canada. In the Municipality of Peel, existing data, while limited, illustrates that individuals from racialized and equity-deserving communities continue to suffer, receive delayed care, and die prematurely. In response to these troubling statistics, grassroots community advocacy has called on health systems leaders in Peel to work with community and non-profit organizations to address the critical data and infrastructure gaps that hinder addressing the social determinants of health in the region. To support these advocacy efforts, we used a community-based participatory research approach to understand how we might build a data collection ecosystem across sectors, alongside community residents and service providers, to accurately capture the data about the social determinants of health. This approach involved developing a community engagement council, defining the problem with the community, mapping what data is actively collected and what is excluded, and understanding experiences of sociodemographic data collection from community members and service providers. Guided by community voices, our study focused on sociodemographic data collection in the primary care context and identified which service providers use and collect these data, how data are used in their work, the facilitators and barriers to data use and collection. Additionally, we gained insight into how sociodemographic data collection could be respectful, safe, and properly governed from the perspectives of community members. From this study, we identify a set of eight recommendations for sociodemographic data collection and highlight limitations. This foundational community-based work will inform future research in establishing data governance in partnership with diverse and equity-deserving communities.

Advancing equity in breast cancer care: natural language processing for analysing treatment outcomes in under-represented populations.

OBJECTIVE: The study aimed to develop natural language processing (NLP) algorithms to automate extracting patient-centred breast cancer treatment outcomes from clinical notes in electronic health records (EHRs), particularly for women from under-represented populations. METHODS: The study used clinical notes from 2010 to 2021 from a tertiary hospital in the USA. The notes were processed through various NLP techniques, including vectorisation methods (term frequency-inverse document frequency (TF-IDF), Word2Vec, Doc2Vec) and classification models (support vector classification, K-nearest neighbours (KNN), random forest (RF)). Feature selection and optimisation through random search and fivefold cross-validation were also conducted. RESULTS: The study annotated 100 out of 1000 clinical notes, using 970 notes to build the text corpus. TF-IDF and Doc2Vec combined with RF showed the highest performance, while Word2Vec was less effective. RF classifier demonstrated the best performance, although with lower recall rates, suggesting more false negatives. KNN showed lower recall due to its sensitivity to data noise. DISCUSSION: The study highlights the significance of using NLP in analysing clinical notes to understand breast cancer treatment outcomes in under-represented populations. The TF-IDF and Doc2Vec models were more effective in capturing relevant information than Word2Vec. The study observed lower recall rates in RF models, attributed to the dataset's imbalanced nature and the complexity of clinical notes. CONCLUSION: The study developed high-performing NLP pipeline to capture treatment outcomes for breast cancer in under-represented populations, demonstrating the importance of document-level vectorisation and ensemble methods in clinical notes analysis. The findings provide insights for more equitable healthcare strategies and show the potential for broader NLP applications in clinical settings.

Mobile addiction treatment and harm reduction services as tools to address health inequities: a community case study of the Brockton Neighborhood Health Center mobile unit.

Opioid overdose deaths continue to increase in the US. Recent data show disproportionately high and increasing overdose death rates among Black, Latine, and Indigenous individuals, and people experiencing homelessness. Medications for opioid use disorder (MOUD) can be lifesaving; however, only a fraction of eligible individuals receive them. Our goal was to describe our experience promoting equitable MOUD access using a mobile delivery model. We implemented a mobile MOUD unit aiming to improve equitable access in Brockton, a racially diverse, medium-sized city in Massachusetts. Brockton has a relatively high opioid overdose death rate with increasingly disproportionate death rates among Black residents. Brockton Neighborhood Health Center (BNHC), a community health center, provides brick-and-mortar MOUD access. Through the Communities That HEAL intervention as part of the HEALing Communities Study (HCS), Brockton convened a community coalition with the aim of selecting evidence-based practices to decrease overdose deaths. BNHC leadership and coalition members recognized that traditional brick-and-mortar treatment locations were inaccessible to marginalized populations, and that a mobile program could increase MOUD access. In September 2021, with support from the HCS coalition, BNHC launched its mobile initiative - Community Care-in-Reach® - to bring low-threshold buprenorphine, harm reduction, and preventive care to high-risk populations. During implementation, the team encountered several challenges including: securing local buy-in; navigating a complex licensure process; maintaining operations throughout the COVID-19 pandemic; and finally, planning for sustainability. In two years of operation, the mobile team cared for 297 unique patients during 1,286 total visits. More than one-third (36%) of patients received buprenorphine prescriptions. In contrast to BNHC's brick-and-mortar clinics, patients with OUD seen on the mobile unit were more representative of historically marginalized racial and ethnic groups, and people experiencing homelessness, evidencing improved, equitable addiction care access for these historically disadvantaged populations. Offering varied services on the mobile unit, such as wound care, syringe and safer smoking supplies, naloxone, and other basic medical care, was a key engagement strategy. This on-demand mobile model helped redress systemic disadvantages in access to addiction treatment and harm reduction services, reaching diverse individuals to offer lifesaving MOUD at a time of inequitable increases in overdose deaths.

Hearing loss and cognitive decline: Prioritizing equity in a world in which hearing health matters.

Alzheimer's disease and related dementias (ADRDs) and age-related hearing loss are the intersection of two major public health challenges. With age as the primary risk factor for both disease processes, the burden of ADRDs and age-related hearing loss is growing, and each field maintains significant barriers to broadscale identification and management that is affordable and accessible. With the disproportionate burden of ADRDs among racial and ethnic minority older adults and existing disparities within hearing care, both areas face challenges in achieving equitable access and outcomes across diverse populations. The publication of the Aging and Cognitive Health Evaluation in Elders (ACHIEVE) trial in July 2023 marked a significant moment in the fields of brain and hearing health. The ACHIEVE trial was the first randomized controlled trial to examine whether providing hearing intervention, specifically provision of hearing aids, compared to an education control, would reduce cognitive changes over 3 years. The participants most at risk for cognitive decline, with lower education, lower income, more likely to identify as Black, and have more cardiovascular risk factors, were the participants who benefited most from the hearing intervention and are also the least likely to be represented in research and the least likely to obtain hearing care. With growing evidence of the interconnection between cognitive and sensory health, we have an opportunity to prioritize equity, from purposeful inclusion of diverse participants in trials to influencing the emerging market of over-the-counter hearing aids to supporting expanded models of hearing care that reach those who have traditionally gone unserved. No longer can hearing go unrecognized by clinicians, researchers, and advocates for brain health. At the same time, the fields of brain and hearing health must center equity if we are going to meet the needs of diverse older adults in a world in which hearing health matters.

The Equitable Benefit Approach to guide the assessment of medical and psychosocial factors in liver transplant candidacy.

Lack of available organs poses a significant challenge in meeting the needs of patients with life-threatening liver disease who could benefit from liver transplantation (LT). Psychosocial vulnerability markers have been linked to post-transplant outcomes, raising questions about their use in patient selection. However, their incorporation into selection criteria raises concerns about health equity and potential discrimination. As a result, there is a pressing need to refine fair allocation systems that consider both clinical and psychosocial factors to ensure equitable access and optimize post-transplant outcomes. The Equitable Benefit Approach (EBA) proposed in this paper by the multidisciplinary group of clinical experts in LT from the Italian Society for the Study of the Liver seeks to address these concerns. It presents four procedural principles, the two allocative principles usually applied in transplantation (urgency and utility) and introduces a new one, the principle of health equity. The EBA aims to prioritize patients with the highest transplant benefit while addressing health inequalities. It emphasizes evidence-based decision-making and standardized assessment tools to reliably evaluate psychosocial risk factors. Implementing the EBA involves a multi-step process, including stakeholder engagement, prospective studies to validate its efficacy, development of institutional policies and algorithms, and ongoing monitoring and revision. By following these steps, health care providers can ensure that LT allocation decisions are transparent and responsive to evolving clinical and social contexts. Ultimately, the EBA should offer a comprehensive framework for fair patient selection in LT, considering both biomedical and psychosocial aspects.

Leveraging digital health technologies in heart failure self-care interventions to improve health equity.

For patients with heart failure, self-care is crucial, but recommendations for self-care are often not adhered to. Digital health interventions have the potential to help patients improve their self-care and, ultimately, their health outcomes, but without careful examination, digital interventions may generate further inequality. In this study, we use a digital health equity framework to examine challenges and opportunities related to digital health interventions across many domains of influence that may affect health equity. We draw from our own experience in conducting a decentralized clinical trial with multiple sensors and apps to help patients with heart failure improve adherence to key self-care behaviors. Finally, we provide recommendations for leveraging digital health interventions in research and practice to address health equity.

Barriers to and opportunities for advancing racial equity in cervical cancer screening in the United States.

BACKGROUND: In the United States (U.S.), racially minoritized people have higher rates of cervical cancer morbidity and mortality compared to white individuals as a result of racialized structural, social, economic, and health care inequities. However, cervical cancer screening guidelines are based on studies of predominately white individuals and do not substantially discuss or address racialized cervical cancer inequities and their social determinants, including racism. METHODS: We conducted in-depth interviews with health care providers (N = 30) and key informants with expertise in health equity (N = 18). We utilized semi-structured interview guides that addressed providers' views and experiences delivering cervical cancer screening to racially minoritized individuals and key informants' recommendations for advancing racial equity in the development and implementation of cervical cancer screening guidelines. Interviews were analyzed using a template style thematic analysis approach involving deductive and inductive coding, memo writing, and matrix analysis for theme development. RESULTS: Most health care providers adopted a universal, one-size-fits-all approach to cervical cancer screening with the stated goal of ensuring racial equality. Despite frequently acknowledging the existence of racialized cervical cancer inequities, few providers recognized the role of social inequities in influencing them, and none discussed the impact of racism. In contrast, key informants overwhelmingly recommended that providers adopt an approach to cervical cancer screening and follow-up care that recognizes the role of racism in shaping racialized cervical cancer and related social inequities, is developed in partnership with racially minoritized communities, and involves person-centered, structurally-competent, and trauma-informed practices that address racially minoritized peoples' unique lived experiences in historical and social context. This racism-conscious approach is not to be confused with race-based medicine, which is an essentialist and racist approach to health care that treats race as a biological variable rather than as a social and political construct. CONCLUSIONS: Developers and implementers of cervical cancer screening guidelines should explicitly recognize and address the impact of racism on cervical cancer screening, follow-up care, and outcomes, meaningfully incorporate racially minoritized communities' perspectives and experiences, and facilitate provider- and institutional-level practices that foster racial equity in cervical cancer.

Barriers and facilitators to perinatal care of women with disabilities in lower- and middle-income countries: a study protocol for scoping review of qualitative studies.

BACKGROUND: The Sustainable Development Goals have put emphasis on equitable healthcare access for marginalised groups and communities. The number of women with disabilities (WWD) to marry and have children is rapidly increasing in low- and middle-income countries (LMICs). However, these women experience multifaceted challenges to seeking perinatal care in LMICs. The objective of this scoping review is to document key facilitators and barriers to seeking perinatal care by WWD. We also will propose strategies for inclusive perinatal healthcare services for women with disabilities in LMICs. METHODS: We will conduct a scoping review of peer-reviewed and grey literature (published reports) of qualitative and mixed-methods studies on facilitators and barriers to seeking perinatal care for women with functional disabilities from 2010 to 2023 in LMICs. An electronic search will be conducted on Medline/PubMed, Scopus and Google Scholar databases. Two researchers will independently assess whether studies meet the eligibility criteria for inclusion based on the title, abstract and a full-text review. ETHICS AND DISSEMINATION: This scoping review is based on published literature and does not require ethics approval. Findings will be published in peer-reviewed journals and presented at conferences related to reproductive health, disability and inclusive health forums.

Leveraging data to support health equity in an integrated delivery and finance system.

Introduction: To accelerate healthcare transformation and advance health equity, scientists in learning health systems (LHSs) require ready access to integrated, comprehensive data that includes information on social determinants of health (SDOH). Methods: We describe how an integrated delivery and finance system leveraged its learning ecosystem to advance health equity through (a) a cross-sector initiative to integrate healthcare and human services data for better meeting clients' holistic needs and (b) a system-level initiative to collect and use patient-reported SDOH data for connecting patients to needed resources. Results: Through these initiatives, we strengthened our health system's capacity to meet diverse patient needs, address health disparities, and improve health outcomes. By sharing and integrating healthcare and human services data, we identified 281 000 Shared Services Clients and enhanced care management for 100 adult Medicaid/Special Needs Plan members. Over a 1-year period, we screened 9173 (37%) patients across UPMC's Women's Health Services Line and connected over 700 individuals to social services and supports. Conclusions: Opportunities exist for LHSs to improve, expand, and sustain their innovative data practices. As learnings continue to emerge, LHSs will be well positioned to accelerate healthcare transformation and advance health equity.

Care partners and consumer health information technology: A framework to guide systems-level initiatives in support of digital health equity.

Introduction: Consumer-oriented health information technologies (CHIT) such as the patient portal have a growing role in care delivery redesign initiatives such as the Learning Health System. Care partners commonly navigate CHIT demands alongside persons with complex health and social needs, but their role is not well specified. Methods: We assemble evidence and concepts from the literature describing interpersonal communication, relational coordination theory, and systems-thinking to develop an integrative framework describing the care partner's role in applied CHIT innovations. Our framework describes pathways through which systematic engagement of the care partner affects longitudinal work processes and multi-level outcomes relevant to Learning Health Systems. Results: Our framework is grounded in relational coordination, an emerging theory for understanding the dynamics of coordinating work that emphasizes role-based relationships and communication, and the Systems Engineering Initiative for Patient Safety (SEIPS) model. Cross-cutting work systems geared toward explicit and purposeful support of the care partner role through CHIT may advance work processes by promoting frequent, timely, accurate, problem-solving communication, reinforced by shared goals, shared knowledge, and mutual respect between patients, care partners, and care team. We further contend that systematic engagement of the care partner in longitudinal work processes exerts beneficial effects on care delivery experiences and efficiencies at both individual and organizational levels. We discuss the utility of our framework through the lens of an illustrative case study involving patient portal-mediated pre-visit agenda setting. Conclusions: Our framework can be used to guide applied embedded CHIT interventions that support the care partner role and bring value to Learning Health Systems through advancing digital health equity, improving user experiences, and driving efficiencies through improved coordination within complex work systems.

Digital determinants of health as a way to address multilevel complex causal model in the promotion of Digital health equity and the prevention of digital health inequities: A scoping review.

Background: With the progressive digitization of health services and the current spread of Telemedicine and e-Health, it became clear that promoting Digital health equity (DHE) is necessary to support health potential, to avoid that some individuals can incur in unintended inequities. In this paper, we address the complex causal process(es) that may generate risk of inequities, considering the so-called "Digital Determinants of health" (DDoH) and their relationship with determinants of health (DoH). Design and methods: We conducted a scoping review, according to methodological framework proposed in PRISMA-ScR guidelines, on the definition of DDoH (Scopus, Pubmed and Web of Science electronic databases). Inclusion criteria: papers on the definition of DDoH, no time limits, all study designs eligible. Results: There is an agreement on the link between DDoHs and "digital divide" and on their effects on a wide range of health, functioning outcomes, both as barriers and as facilitators. Authors proposed to modify or integrate with DDoHs the "Rainbow model" or other conceptual models on DoH. To promote DHE, authors suggest considering a multidimensional complex causal model, with interdependence among the different levels and the mutually reinforcing effects. Conclusion: To study DDoH and their relationship with main determinants of health could be a way to address the complex causal model in the promotion of DHE. However, as they act in a multidimensional causal context, any intervention may consider the interdependence among different involved levels, within them, and the mutually reinforcing effects. Further research is needed to gain a more complete picture of the field.

Integrating the Teaching and Assessment of Moral Reasoning into Undergraduate Medical Education to Advance Health Equity.

Moral reasoning skills among medical students have regressed despite the implementation of ethics teachings in medical education curricula. This inability to retain moral reasoning capability is attributed to difficulty transitioning to the principled thinking stage of moral reasoning as well as worsening of ethical decision-making skills during clerkship education due to the "hidden curriculum." Prior studies have examined the efficacy of individual strategies for moral education, but there is insufficient analysis comparing multiple educational interventions and moral reasoning assessment tools. The role and impact of these instruments in medical curricula for the advancement of health equity is reviewed.

Educational inequalities and self-reported health among men and women aged 18-49 years in Yangon Region, Myanmar: analysis of a population-based, cross-sectional study.

OBJECTIVES: To estimate the prevalence of good self-reported health (SRH) in subpopulations based on the social determinants of health and to investigate the association between education (measured in years of schooling) and good SRH among men and women aged 18-49 years in Yangon Region, Myanmar. DESIGN: Analysis of data from a population-based, cross-sectional study conducted in Yangon, Myanmar, from October to November 2016. A multistage sampling procedure was employed, and structured face-to-face interviews were conducted with standardised questions adapted from the Myanmar Demographic and Health Survey. Prevalence ratios (PRs) with 95% CIs were estimated using Poisson regression analyses by sex. SETTING: Urban and rural areas of Yangon Region, Myanmar. PARTICIPANTS: The sample included 2,506 participants (91.8% response rate) aged 18-49 years and excluded nuns, monks, soldiers, institutionalised people and individuals deemed too ill physically and/or mentally to participate. RESULTS: The prevalence of good SRH was 61.2% (95% CI 59.3 to 63.1), with higher rates among men (72.0%, 95% CI 69.3 to 74.5), younger individuals (69.2%, 95% CI 66.2 to 72.1), urban residents (63.6%, 95% CI 60.8 to 66.3), extended family dwellers (66.6%, 95% CI 63.7 to 69.4) and those with a higher level of education (66.0%, 95% CI 61.3 to 70.5). After adjusting for confounders (age and area of residence), the association between years of schooling and SRH (PR) was 1.01 (95% CI 1.01 to 1.02, p=0.002) in men and 1.01 (95% CI 0.99 to 1.02, p=0.415) in women. CONCLUSIONS: Good SRH was more prevalent among men than among women. Additionally, a 1-year increase in education was associated with a 1% increase in the prevalence of good SRH among men, whereas the association was not statistically significant among women. In order to enhance the educational benefits of health in Myanmar, we recommend a higher focus on the length of education and addressing gender inequalities in wage return from education.

Studying harms of interventions with an equity lens in randomized trials.

Equity and health equity are fundamental pillars in fostering a just and inclusive society. While equity underscores fairness in resource allocation and opportunity, health equity aims to eradicate avoidable health disparities among social groups. The concept of harms in interventions-undesirable consequences associated with the use of interventions-often varies across populations due to biological and social factors, necessitating a nuanced understanding. An equity lens reveals disparities in harm distribution, urging researchers and policymakers to address these differences in their decision-making processes. Furthermore, interventions, even well-intentioned ones, can inadvertently exacerbate disparities, emphasizing the need for comprehensive harm assessment. Integrating equity considerations in research practices and trial methodologies, through study design or through practices such as inclusive participant recruitment, is pivotal in advancing health equity. By prioritizing interventions that address disparities and ensuring inclusivity in research, we can foster a more equitable healthcare system.

The Solutions in Health Analytics for Rural Equity Across the Northwest (SHARE-NW) Dashboard for Health Equity in Rural Public Health: Usability Evaluation.

BACKGROUND: Given the dearth of resources to support rural public health practice, the solutions in health analytics for rural equity across the northwest dashboard (SHAREdash) was created to support rural county public health departments in northwestern United States with accessible and relevant data to identify and address health disparities in their jurisdictions. To ensure the development of useful dashboards, assessment of usability should occur at multiple stages throughout the system development life cycle. SHAREdash was refined via user-centered design methods, and upon completion, it is critical to evaluate the usability of SHAREdash. OBJECTIVE: This study aims to evaluate the usability of SHAREdash based on the system development lifecycle stage 3 evaluation goals of efficiency, satisfaction, and validity. METHODS: Public health professionals from rural health departments from Washington, Idaho, Oregon, and Alaska were enrolled in the usability study from January to April 2022. The web-based evaluation consisted of 2 think-aloud tasks and a semistructured qualitative interview. Think-aloud tasks assessed efficiency and effectiveness, and the interview investigated satisfaction and overall usability. Verbatim transcripts from the tasks and interviews were analyzed using directed content analysis. RESULTS: Of the 9 participants, all were female and most worked at a local health department (7/9, 78%). A mean of 10.1 (SD 1.4) clicks for task 1 (could be completed in 7 clicks) and 11.4 (SD 2.0) clicks for task 2 (could be completed in 9 clicks) were recorded. For both tasks, most participants required no prompting-89% (n=8) participants for task 1 and 67% (n=6) participants for task 2, respectively. For effectiveness, all participants were able to complete each task accurately and comprehensively. Overall, the participants were highly satisfied with the dashboard with everyone remarking on the utility of using it to support their work, particularly to compare their jurisdiction to others. Finally, half of the participants stated that the ability to share the graphs from the dashboard would be "extremely useful" for their work. The only aspect of the dashboard cited as problematic is the amount of missing data that was present, which was a constraint of the data available about rural jurisdictions. CONCLUSIONS: Think-aloud tasks showed that the SHAREdash allows users to complete tasks efficiently. Overall, participants reported being very satisfied with the dashboard and provided multiple ways they planned to use it to support their work. The main usability issue identified was the lack of available data indicating the importance of addressing the ongoing issues of missing and fragmented public health data, particularly for rural communities.

Centering Digital Health Equity During Technology Innovation: Protocol for a Comprehensive Scoping Review of Evidence-Based Tools and Approaches.

BACKGROUND: In the rush to develop health technologies for the COVID-19 pandemic, the unintended consequence of digital health inequity or the inability of priority communities to access, use, and receive equal benefits from digital health technologies was not well examined. OBJECTIVE: This scoping review will examine tools and approaches that can be used during digital technology innovation to improve equitable inclusion of priority communities in the development of digital health technologies. The results from this study will provide actionable insights for professionals in health care, health informatics, digital health, and technology development to proactively center equity during innovation. METHODS: Based on the Arksey and O'Malley framework, this scoping review will consider priority communities' equitable involvement in digital technology innovation. Bibliographic databases in health, medicine, computing, and information sciences will be searched. Retrieved citations will be double screened against the inclusion and exclusion criteria using Covidence (Veritas Health Innovation). Data will be charted using a tailored extraction tool and mapped to a digital health innovation pathway defined by the Centre for eHealth Research roadmap for eHealth technologies. An accompanying narrative synthesis will describe the outcomes in relation to the review's objectives. RESULTS: This scoping review is currently in progress. The search of databases and other sources returned a total of 4868 records. After the initial screening of titles and abstracts, 426 studies are undergoing dual full-text review. We are aiming to complete the full-text review stage by May 30, 2024, data extraction in October 2024, and subsequent synthesis in December 2024. Funding was received on October 1, 2023, from the Centre for Health Equity Incubator Grant Scheme, University of Melbourne, Australia. CONCLUSIONS: This paper will identify and recommend a series of validated tools and approaches that can be used by health care stakeholders and IT developers to produce equitable digital health technology across the Centre for eHealth Research roadmap. Identified evidence gaps, possible implications, and further research will be discussed. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/53855.