Date Submitted: Feb 12, 2026. Open Peer Review Period: Feb 13, 2026 - Apr 10, 2026.

Date Submitted: Feb 13, 2026. Open Peer Review Period: Feb 13, 2026 - Apr 10, 2026.

Date Submitted: Feb 12, 2026. Open Peer Review Period: Feb 12, 2026 - Apr 9, 2026.

Date Submitted: Jan 31, 2026. Open Peer Review Period: Feb 10, 2026 - Apr 7, 2026.

Date Submitted: Feb 12, 2026. Open Peer Review Period: Feb 12, 2026 - Apr 9, 2026.

Date Submitted: Feb 12, 2026. Open Peer Review Period: Feb 12, 2026 - Apr 9, 2026.

Date Submitted: Feb 12, 2026. Open Peer Review Period: Feb 12, 2026 - Apr 9, 2026.

Background: The Veterans Health Administration is promoting #patient-reported outcome measure (PROM) collection for measurement-based mental health care. Understanding veteran preferences about how and when to complete PROMs is critical to support their implementation. Objective: We examined veteran preferences for timing and use of different technology platforms to complete mental health–related PROMs. Methods: We invited a national sample of 1373 veterans to complete a survey; 858 (62.5%) responded. Surveys asked about veteran preferences for how and when to complete mental health–related PROMs. We characterized responses using descriptive statistics and estimated multiple logistic regression models to examine associations between veteran demographic and health characteristics and preferences for completing PROMs. Results: Most veterans preferred completing PROMs between appointments (607/801, 75.8%) using features of a #patient portal (410/801, 51.2%), during appointments (589/801, 73.5%) verbally (413/801, 51.6%), and while at the medical center (480/801, 59.9%) on paper (189/801, 23.6%) or a tablet computer (180/801, 22.5%). Hispanic (vs non-Hispanic) veterans had 3.32 (95% CI 1.04-10.58) times higher odds of preferring to complete PROMs at the medical center, and veterans with lower (vs higher) socioeconomic status had lower odds (odds ratio 0.61, 95% CI 0.40-0.93) of preferring to complete PROMs in between appointments but 1.97 (95% CI 1.23-3.16) times higher odds of preferring to complete PROMs during appointments. Conclusions: As the Veterans Health Administration and other health care systems seek to expand the integration of PROM data into health care services, adaptive and flexible approaches to PROM administration that align with #patient preferences, including those that leverage technology platforms in the remote collection of these data, may bolster implementation. Our results indicate that such implementation efforts should consider #patient ethnicity and socioeconomic status. Our findings further suggest that these efforts could benefit from incorporating PROM administration into online #patient portals, developing mobile health apps that support PROM completion through #patients’ personal devices in between clinical encounters, and engaging care team members in PROM administration during appointments.

Background: Oral disease remains a global public health concern, disproportionately affecting socioeconomically disadvantaged populations. Adults with disabilities or health conditions face additional barriers to dental care, including physical accessibility, communication challenges, and heightened anxiety. These factors contribute to care avoidance and poorer oral health outcomes. While virtual reality (VR) has shown promise in reducing procedural anxiety in pediatric and private dental settings, its application in adult public dentistry, particularly for people with disabilities, remains underexplored. Objective: This #Study aims to evaluate the feasibility, usability, and acceptability of Smileyscope, a Therapeutic Goods Administration–approved head-mounted VR headset, in reducing dental anxiety and enhancing care experiences for adults with disabilities in public dental clinics. Methods: A mixed methods convergent design will be implemented across community dental sites in Victoria, Australia. In total, 50 adult patients and up to 10 dental staff members will be recruited. Primary feasibility indicators include recruitment rate (≥60% consent), completion rate (≥80% System Usability Scale [SUS] completion), and usability threshold (mean SUS ≥68). The primary analysis will be descriptive, with 95% CIs reported. Quantitative data will be collected using the visual analog scale for willingness, the SUS, and the technology acceptance model questionnaire. Qualitative data from semistructured interviews will be thematically analyzed. The #Study is co-designed with a disability advocate and integrates lived experience throughout all phases, including recruitment, evaluation, and dissemination. Results: The project was funded in 2025, and ethics approval was granted by Peninsula Health Human #Research Ethics Committee (project ID 117565). Data collection is scheduled for October 2025 to March 2026 at the participating community dental sites. Primary feasibility estimates and qualitative themes are expected to be submitted for publication in mid‑2026. Conclusions: This #Protocol outlines a feasibility #Study that will inform scalable models for VR integration into public dental services. The findings will contribute to improved oral health equity and patient-centered care, advancing the evidence base for inclusive #Digital health innovation in dentistry.

Background: In the United States, Asian American people represent the fastest growing population group, and are highly diverse linguistically, culturally, and demographically. Yet, in most national studies, Asian American groups are aggregated, masking potential health disparities. Racial and ethnic minorities, especially first-generation immigrants, are also at a particularly elevated risk of cognitive impairment. Objective: The Aging in Kerala Americans #Research (AKKARE) #Study aims to examine both positive and negative migration effects on health in the first-generation Kerala American population, focusing on cognition and dementia. We will assess the effect of immigrant and cultural factors and social relations on cognitive aging from epidemiological, biological, and vascular perspectives. This #Protocol describes the #Study design and procedures for the AKKARE #Study. Methods: The AKKARE #Study proposes to enroll 400 older first-generation Kerala American individuals from the tristate area. A smaller subset of these participants will complete blood tests (n=360) and neuroimaging studies (n=160). We will assess the role of immigration and cultural effects on cognitive function, mood, and quality of life, as well as biological and vascular aging. We will conduct follow-up assessments at 12-month intervals for up to 5 years. Results: The AKKARE #Study (grant #1R01AG084567-01) was funded by the US National Institutes of Health in 2024 and received approval from the Stony Brook University Institutional Review Board to start the #Study in 2025. Enrollment began in September 2025. Conclusions: As there is presently a lack of fundamental data on the epidemiology in diseases of aging in Indian American immigrants, the AKKARE #Study will provide new insights into factors of risk and resilience associated with cognitive impairment in this group and in the broader older adult population. Trial Registration:

Background: E-#Health is an increasingly utilized method of healthcare in the field of psycho-oncology. While many reports highlight the positive impact of psychological e-#Health tools, there are patients who refuse to use them. Objective: Our goal was to expand our knowledge of the motivation and psycho-emotional functioning of patients who consciously refuse to use e-#Health technology in the form of a #Mobile psycho-oncology #App for their phone as part of a clinical trial. To our knowledge, this is the first study of its kind. Methods: A retrospective study was conducted between December 2022 and February 2023 to investigate the reasons why 56 breast #Cancer patients refused to use the psycho-oncology #Mobile #App offered as part of a clinical trial by the Breast #Cancer Unit. The study aimed to analyze their psycho-emotional functioning, including stress levels (measured using the Distress Thermometer), personality traits (measured using the TIPI), coping strategies (measured using the Mini-Cope), and self-efficacy (measured using the GSES) and reasons for refusal to participate in the clinical trial. Results: The patients experienced a clinically meaningful elevation in stress levels (5 ± 2.1 points) and self-efficacy (32.1 ± 5.1 points). Among five dimensions of personality treats patients scores highest in Agreeableness (6.5 ± 0.8 stens) and Conscientiousness (6.4 ± 0.9) and lowest in Neuroticism (3.4 ± 1.8) (other dimension: Extraversion - 5.8 ± 1.6 and Openness to experiences 4.4 ± 1.5). In terms of coping with stress, patients most frequently used the strategies of Active coping (2.6 ± 0.5 points), Acceptance (2.6 ± 0.6) and Seeking emotional suport (2.6 ± 0.6), and least frequently used the strategies of Psychoactive substance use (0,2 ± 0.6) and Resistant (0,5 ± 0.7). Patient responses regarding refusal to participate in #App testing were divided into four categories: 1) Focus on life outside the disease, 2) Focus on disease and treatment, 3) Denial mechanism, 4) Technical issues. Statistically significant differences were found between the groups. Focus on life outside the disease group of patients had higher levels of self-efficacy, lower neuroticism and more frequent use of Positive re-evaluation strategy compared to the other groups. Conclusions: Our patients' decision not to use the eHealth psycho-oncology #App was mainly influenced by characteristics suggesting their better emotional coping with the disease and treatment. These were significantly more influential than other factors studied, particularly those related to technology. In the light of our study, assessing the reason for opting out of e-#Health and the associated psycho-emotional functioning is crucial for patients' adoption of e-#Health solutions.

Background: African, Caribbean, and Black (ACB) communities in high-income countries continue to experience persistent health inequities, driven by systemic anti-Black racism, socioeconomic disadvantage, and exclusion from health decision-making. Historically, data have been extracted from ACB communities without transparency, accountability, or community ownership. These inequitable practices have produced data systems that reinforce harm rather than promote equity. Equitable data governance, which promotes community ownership over data collection, access, and use, is increasingly recognized as a critical but under#Researched determinant of health equity. Objective: This #Protocol outlines the methodology of a scoping review to identify and synthesize evidence on the determinants of equitable data governance in health #Research involving ACB communities in high-income countries. Methods: The review follows the 6-stage Arksey and O’Malley methodological framework, supplemented with updated guidance from the Joanna Briggs Institute. The searches were conducted in the Ovid MEDLINE, Ovid Embase, EBSCO CINAHL, APA PsycInfo, and Scopus databases. Peer-reviewed articles are considered, with no limits placed on #Study design, publication type, or date. Multiple reviewers will independently extract data by using a standardized form. A 3-phase thematic mapping process, conceptually informed by critical race theory, intersectionality, and community-based participatory #Research principles, will be conducted to analyze the data, generate themes, and interpret findings. Results: The final comprehensive database searches were completed on December 17, 2024. The search strategy targeted literature on data management, governance, sharing, security, and ethical principles in relation to ACB populations in high-income countries. A total of 4365 records were screened at the title and abstract level, after deduplication, of which 247 studies were deemed potentially relevant and advanced to full-text screening. Following full-text screening and reference list searching a total of 15 articles were deemed eligible for analysis. The data extraction stage is scheduled to overlap and occur between November 2025 and February 2026. The thematic mapping and stakeholder consultations processes are scheduled between December 2025 and February 2026. The final review and manuscript submission are expected by March 2026, with dissemination activities planned for mid-2026. Conclusions: This review will synthesize existing information on key pillars, barriers, facilitators, promising data governance policies and practices, and recommendations relevant to ACB communities. The findings may inform the expansion of Ontario’s Engagement, Governance, Access, and Protection guidelines and support tailored #Research and national data governance frameworks. The review is expected to contribute to policy, #Research, and community-led data initiatives. Dissemination will occur through academic publications, conferences, and community-based knowledge-sharing events. As the review relies solely on publicly available data, ethics approval is not required. Trial Registration: OSF Registries 10.17605/OSF.IO/Z82AY; https://osf.io/z82ay

Date Submitted: Feb 6, 2026. Open Peer Review Period: Feb 8, 2026 - Apr 5, 2026.

Background: Assam, India, exhibits the highest maternal mortality ratio in the nation (195 per 100,000 live births, nearly twice the national average), primarily due to ongoing deficiencies in access to and quality of maternal health (MH) care. Many women receive suboptimal antenatal (ANC) and postnatal care (PNC), challenges exacerbated by geographic isolation, socio-economic constraints, and limited healthcare infrastructure. #Digital health innovations, notably mobile health (#mHealth) interventions such as messaging platforms and chatbots, have demonstrated potential in enhancing ANC attendance and promoting facility-based deliveries in resource-constrained environments. To address these persistent challenges, the e-SAATHI (Strengthening ANC/PNC via AskNivi Tailored Health Information, Referrals, and Follow-up) project was developed to deliver personalized, stage-specific MH support using a chat-based decision system in Assam. Objective: This #Study assesses the acceptability, feasibility, and effectiveness of the e-SAATHI chatbot in increasing women's access to maternal health information and improving ANC and PNC service uptake across public and private facilities. Objectives include increasing ANC/PNC use (e.g., ≥4 ANC visits, timely postnatal care), promoting respectful care, and gathering insights for scaling #Digital health in high-burden regions. Methods: Phase 1(0–3 months): Co-design and pilot testing aligned with WHO and national guidelines. Phase 2(4–24 months): Enroll pregnant and postpartum women via health facilities and social media. The chatbot sends 2–3 messages weekly from 10 weeks pregnancy to 15 weeks postpartum. About 300 healthcare providers will be trained and engaged for onboarding and feedback. Phase 3(25–36 months): Scale-up across districts, reaching 225,000 women. Data collection includes interviews, surveys, facility assessments, and chatbot analytics. Qualitative analysis will explore experiences; quantitative data (ANC completion, facility delivery, PNC follow-up, satisfaction) will compare pre- and post-intervention. Ethical approvals, informed consent, and data confidentiality are observed. Results: As this #Protocol outlines a planned intervention, final results are pending completion. The #Study was funded in Sep 2022. As of manuscript submission, 210 facilities have been onboarded and 201,813 women were onboarded. Chatbot-based data collection began in Apr 2023 and will continue through the #Study period. Qualitative and quantitative evaluation data collection started in Nov 2023 and is expected to complete in Jun 2027. Interim analyses will be conducted after midline data collection in 2026; final analyses will be performed after endline data collection in 2027. The primary outcome will be the change in the composite quality score of maternal and newborn care. Secondary outcomes will include service uptake indicators, user-reported knowledge and self-care practices, and satisfaction with care. Operational feasibility—including provider integration and barriers such as #Digital literacy and connectivity—will also be assessed. Ongoing collaborative learning and adapting (CLA) cycles are expected to capture intervention adaptations and inform optimal strategies for scale-up. Conclusions: e-SAATHI offers a scalable #Digital approach to improve MH in a variety of diverse socio-demographic, linguistic and risk settings. By delivering timely, personalized support, the chatbot may enhance health-seeking behavior and outcomes in Assam and similar low-resource areas globally.

Date Submitted: Feb 6, 2026. Open Peer Review Period: Feb 8, 2026 - Apr 5, 2026.

Date Submitted: Feb 7, 2026. Open Peer Review Period: Feb 8, 2026 - Apr 5, 2026.

Date Submitted: Jan 31, 2026. Open Peer Review Period: Feb 10, 2026 - Apr 7, 2026.

Date Submitted: Feb 3, 2026. Open Peer Review Period: Feb 8, 2026 - Apr 5, 2026.

Background: The transition from university-based simulation learning to the clinical environment is a pivotal stage in undergraduate nursing education. This period can influence students’ psychological well-being, adaptability, and sense of belonging within the clinical setting, which are essential dimensions to professional learning and patient safety. Although the simulation aims to prepare students for clinical realities, the extent to which it supports their emotional and social readiness for real practice remains unclear. Objective: This scoping review aims to map literature on undergraduate nursing students’ well-being, adaptability, and sense of belonging during their transition from university-based simulation learning to clinical practice. Secondary objectives include identifying educational interventions and highlighting #Research gaps for future #Research. Methods: The review will follow the Joanna Briggs Institute (JBI) methodology for scoping reviews and the PRISMA-ScR reporting guidelines. A systematic search will be conducted in PubMed, CINAHL, APA PsycINFO, Scopus, and ScienceDirect for studies published between 2015 and 2025 in English or French. A grey literature search will also be performed in Google Scholar. Eligible studies will include empirical (quantitative, qualitative, or mixed-method) and review papers exploring nursing students’ experiences of transitioning from university-based simulation learning to real clinical settings. Two reviewers will independently screen titles, abstracts, and full texts, extract relevant data, and synthesize findings using thematic analysis. Results: Data collection will be completed by April 2026, with analyses finalized by June 2026. Results will summarize current definitions, measures, and interventions related to students’ well-being, adaptability, and sense of belonging, as well as identify evidence gaps and conceptual trends in literature. Conclusions: This scoping review will address a critical gap by clarifying how psychosocial dimensions of the transition from university-based simulation learning to clinical practice are conceptualized, measured, and supported in undergraduate nursing education, thereby informing the development of more comprehensive and learner-centered educational strategies.

Background: Dementia is one of Canada’s most pressing public health challenges, with rates expected to surge in response to the country’s aging population. Given the rapidly growing issue of dementia, understanding national #Research efforts are critical to prioritizing and advancing strategic directions in brain health and dementia #Research. Recently, the Canadian Institutes of Health #Research (CIHR) awarded a one-year funding grant from the Brain Health and Cognitive Impairment in Aging (BHCIA) #Research initiative to map the scope of brain health and dementia in Canada. Objective: This scoping review of reviews #Protocol aimed to address this call by outlining the methodology that will be used for mapping the #Research landscape, documenting the knowledge gaps, and identifying areas of innovation to advance brain health and dementia #Research in Canada. Methods: Given the large volume of literature, a scoping review of Canadian-led reviews was selected as the most appropriate method because it would allow for a robust synthesis of nationally relevant #Research while mapping knowledge gaps and innovation. Our scoping review of reviews #Protocol will follow the Arksey and O’Malley framework, along with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines. The search will focus on peer-reviewed literature reviews published between January 1, 2020, and January 1, 2025, to capture the current state of knowledge since the national dementia strategy’s publication in 2019. This search will be conducted using five electronic databases: CINAHL, PubMed, PsycINFO, Scopus, and Web of Science. Our data extraction table will include the following categories: author/province/year, aim, review timeline, method, theme, knowledge gaps, innovations, and findings. The data will be analyzed using a combination of deductive and inductive thematic analysis. Results: This #Protocol was registered on June 5, 2025 with the Open Science Framework (OSF). This #Study was funded by CIHR from November 2024 to November 2025. The anticipated timeline for the publication of the full scoping review of reviews is spring 2026. The findings from this review will be shared through targeted knowledge mobilization activities such as presentations at national funding agency meetings, academic conferences, and community workshops. Conclusions: Our scoping review of reviews will provide a robust synthesis of the brain health and dementia #Research landscape, helping to document critical knowledge gaps, and identify areas for innovation. The results of this #Research will provide critical information to help inform strategic funding initiatives and future #Research directions. The findings from our scoping review will have implications for #Research funders, policymakers, community-organizations, and #Researchers that are working to accelerate brain health and dementia #Research across Canada. Clinical Trial: Open Science Framework (OSF) 10.17605/OSF.IO/A5BSX; https://doi.org/10.17605/OSF.IO/A5BSX

Background: Despite major biomedical advances in #HIV testing, #Prevention, and treatment, annual #HIV transmissions in the United States remain above 30,000. Geographic access to pre-exposure prophylaxis (PrEP) is critical to #HIV #Prevention efforts, particularly in regions with high #HIV burdens, such as metro-Atlanta. Community-based organizations (CBOs) play a central role in delivering culturally competent #Prevention services, yet many rely on federal funding that is increasingly unstable. Understanding the potential impact of CBO closures on geographic access to PrEP is essential for anticipating inequities and informing #Policy. Objective: The aim of this study was to estimate how hypothetical closures of federally funded CBOs providing PrEP affect geographic access to PrEP clinics by car and public transit across metro-Atlanta and to assess whether impacts differ by community racial/ethnic composition. Methods: We identified 71 PrEP-providing clinics in metro-Atlanta (August 2025), including 12 CBOs. Using 3 simulated closure scenarios in which 25% of CBOs were randomly closed, we calculated one-way travel times from 2466 census block group (CBG) centroids to the nearest PrEP-providing clinic. Travel times were estimated for car and public transit across 3 weekdays and timepoints and then averaged per CBG. Two-sided paired t tests were used to compare the change in travel time compared to baseline. Logistic regression assessed associations between racial/ethnic plurality and increased travel times. Results: Under baseline conditions, 100% of CBGs had car access to a PrEP clinic within 30 minutes compared to only 41.6% (1027/2466) via public transit. Across closure scenarios, 732 CBGs (29.6%; representing over 1 million residents) experienced increased transit times (mean increase 1.2 minutes; range 0.0-11.6; P

Background: Endocrine-disrupting chemicals (EDCs), such as parabens, are commonly found in personal care products (PCPs). Exposure to parabens is linked to several significant health risks, such as reproductive disorders, breast #Cancer, infertility, and hormone imbalances. Women are particularly vulnerable to these effects due to their higher use of personal care products containing parabens. Despite these risks, Canada lacks regulatory frameworks for the use of parabens in PCPs, relying instead on consumer awareness for reducing exposure. Previous studies have highlighted that many women remain unaware of parabens, exhibiting low risk perception and limited knowledge, which restricts behaviour change towards safer choices. Objective: To address this gap, this project developed the “Paraben-Free & Me” educational toolkit using the Integrate, Design, Assess, and Share framework. Methods: Toolkit development methodology involved empathizing with target users, defining specific behaviours, grounding the data in the Health Belief Model, ideating implementation strategies, prototyping, gathering user feedback, and building a minimum viable product. Results: The “Paraben-Free & Me” toolkit includes multimedia resources such as blog posts, interactive quizzes, videos, podcasts, and forums aimed at increasing knowledge, risk perceptions, health beliefs, and facilitating paraben-free behaviours. Conclusions: This toolkit presents potential to inform women about EDCs, reduce exposures, and improve health outcomes.

Background: In France, reluctance toward hepatitis B #Vaccination remains high, despite the availability of a safe and effective #Vaccine to prevent this infection. To boost #Vaccination coverage, it is therefore essential to identify the factors that are likely to encourage a more favorable opinion of this #Vaccine. Health literacy (HL) is one such factor. It refers to the individual ability to access, understand, critically appraise, and apply health information to make informed decisions about health issues for oneself and for others. Objective: This study explored the mechanisms through which HL might affect opinions about hepatitis B #Vaccination, both directly and indirectly, by relevant factors, including opinions about #Vaccination in general, trust in government health agencies, and trust in medical doctors. Methods: The analysis used data from the SLAVACO-Wave 3 (Suivi Longitudinal des Attitudes à l’Égard d’un #Vaccin Contre la #COVID19 #coronavirus) survey, conducted in December 2021 among a representative sample of French adults (N=1932). Favorable and unfavorable opinions of hepatitis B #Vaccination were measured using a 5-point Likert scale, while HL was assessed using the HLS19-Q12 questionnaire (12-item general health literacy questionnaire used in Health Literacy Survey 2019-2021). A structural equation model examined the relationship between HL and hepatitis B #Vaccination opinions, taking into account the potential mediating role of trust in the health care system (ie, government health agencies and medical doctors). Results: Findings showed that individuals with a favorable opinion of hepatitis B #Vaccination (1437/1932, 74.4%) had a higher HL level than those with a negative or neutral opinion (62.6 vs 57.0, P

Background: Coal workers’ pneumoconiosis (CWP) is the most prevalent occupational disease that causes irreversible lung damage. Early prediction of CWP is the key to blocking the irreversible process of pulmonary fibrosis. The prediction of CWP based on imaging data and biomarker detection is constrained due to high cost and poor convenience. Objective: We utilize easily detectable clinical data to construct a prediction model for CWP through machine learning (ML) methods. Methods: A prediction framework was established using a moderate-sized dataset and multidimensional clinical features, including occupational information, lung function parameters, and blood indicators. Six ML algorithms (LightGBM, random forest, XGBoost, CatBoost, support vector machine, and logistic regression) were trained and evaluated using stratified 5-fold cross-validation and a held-out test set. Hyperparameter optimization was performed using a unified Optuna-based strategy to ensure fair comparison across models. Model interpretability was assessed using SHAP (Shapley additive explanations) on the top-performing models. In addition, an ablation analysis was conducted by retraining models after excluding Job-Type to assess the independent predictive value of clinical biomarkers. Results: All six models achieved consistently high predictive performance, and the differences among the top-performing models were small on the test set. After Optuna-based optimization, LightGBM and XGBoost achieved high test-set AUC values (0.974 and 0.975, respectively), while RF achieved the highest recall (0.926) and F1 score (0.952). Compared with the baseline models, hyperparameter optimization resulted in only minor performance changes, indicating robust prediction under the current feature set and evaluation protocol. SHAP analysis consistently identified Age, FEV1/FVC, and platelet count (PLT) as key contributors to CWP risk prediction. The ablation analysis further showed that model performance remained strong after removing Job-Type, supporting the independent predictive value of clinical features beyond occupational history. Conclusions: The #research results have confirmed the potential of combining simple multidimensional features with ML algorithms for predicting CWP, and provided new ideas for early diagnosis and intervention of CWP #patients.

Background: Hispanics/Latinos (H/L) represent 14.6% of rheumatoid arthritis (RA) cases in the United States and experience significant disparities in access to rheumatologic care, disease management, and health outcomes. Mobile health (#mHealth) apps are promising tools to improve patient–provider communication and self-management among populations with language and literacy barriers. However, few RA-focused #Digital health interventions (DHIs) have been culturally adapted for Spanish-speaking H/L individuals. Objective: This #Study aims to assess the health literacy, eHealth literacy, technology trust, and #Digital self-efficacy of H/L individuals with RA, and to evaluate the cultural relevance, usability, and patient satisfaction of the Spanish-language RunRA #App. Additionally, it will explore healthcare providers’ perceptions of the #App’s usefulness for clinical decision-making and communication with H/L patients. Methods: A prospective, Iterative Convergent Mixed Methods (ICMM) design integrated with the Framework for Reporting Adaptations and Modifications–Expanded (FRAME) will be employed. We will recruit 25 H/L patients with RA and 7 Spanish-speaking healthcare professionals. Quantitative data will include standardized questionnaires (SAHL-S, eHEALS, Human-Computer Trust Scale, #Digital Self-Efficacy Scale) and #App analytics. Qualitative data will be collected via interviews and focus groups using the Cultural Relevance Questionnaire (CRQ), System Usability Scale (SUS), and Mobile Application Rating Scale (uMARS). Data will be analyzed using an Independent Intramethod Strategy, with integration guided by FRAME to inform culturally relevant #App modifications. Results: We anticipate enrolling 32 participants (25 patients and 7 providers). This #Study will be the first to evaluate the cultural relevance and usability of an #mHealth #App specifically designed for Spanish-speaking H/L individuals living with RA. Conclusions: Our long-term goal is to assess the potential for the #mHealth #App to act as a vehicle for the dissemination of accurate, useful, usable, and understandable health information to populations that experience health disparities and their health care providers. Findings will inform iterative refinements to RunRA and contribute to the development of culturally responsive DHIs aimed at improving communication, shared decision-making, and health outcomes in underserved populations.