Digital Health Equity Research Articles

Strategies to advancing digital health equity: perspectives from underserved groups

Abstract Digital Health Technologies (DHTs) are revolutionizing healthcare. However, there is a lack of demonstrable health benefits across all populations. To advance digital health equity, we explored the perspectives of underserved groups on strategies to support digital inclusivity. Participants belonged to two or more CLEARS (Culture (ethnicity, language, religion), Limiting conditions (visual or hearing), low Educational attainment, older Age, Residence (rural, deprived or no fixed address), low Socioeconomic status) groups. This framework encompassed sociodemographic factors associated with digital exclusion and recognizes the role of intersectionality.(1) Twenty-nine individuals participated in focus groups (n = 4) or interviews (n = 11) and shared their perspectives on the barriers to DHTs, innovative ideas to improve inclusivity, and perceived feasibility of implementing changes. An inductive reflective thematic analysis was used to analyze the transcripts, assisted by N-Vivo. Participants experienced fragmented communication with healthcare providers when using DHTs, explaining how they received a no-reply SMS message asking them to confirm an appointment via a link but were unable to access the link. Current solutions to overcoming such barriers included using non-digital routes (e.g., visiting a pharmacy) or calling non-emergency healthcare services. Many participants expressed the need for DHT support services to be implemented to provide educational support and access to devices. However, some participants raised concerns about the financial strain this might place on healthcare systems. Future research should evaluate the feasibility of implementing different DHTs support services across different settings to advance digital health equity. (1)Wilson et al. (2023). Strategies to develop, design, implement and support digital health equity in key underserved groups: protocol for a systematic review. Alzheimer’s & Dementia. Key messages • Strategies to mitigating digital exclusion within healthcare should be designed with underserved groups. • Future research should evaluate the feasibility of implementing different DHTs support services across different settings to advance digital health equity.

Redesigning telemedicine: preliminary findings from an innovative assisted telemedicine healthcare model

BackgroundTelemedicine holds immense potential to revolutionise healthcare delivery, particularly in resource-limited settings and for patients with chronic diseases. Despite proven benefits and policy reforms, the use of telemedicine remains low due to several patient, technology, and system-level barriers. Assisted telemedicine employs trained health professionals to connect patients with physicians, which can improve access and scope of telemedicine. The study aims to describe the design, service utilisation and chronic disease outcomes following the implementation of an assisted telemedicine initiative.MethodsThis is an observational implementation study. Barriers and potential solutions to the implementation of telemedicine were identified through interviews with key stakeholders. The assisted telemedicine solution using an interoperable platform integrating electronic health records, point-of-care diagnostics, and electronic clinical decision support systems was designed and piloted at three telemedicine clinics in Tamil Nadu, India. Nurses were trained in platform use and facilitation of tele-consultations. Health records of all patients from March 2021 to June 2023 were included in the analysis. Data were analysed to assess the utilisation of clinic services and improvements in health outcomes in patients with diabetes mellitus and hypertension.ResultsOver 2.4 years, 11,388 patients with a mean age of 45 (± 20) years and median age of 48 years, predominantly female (59.3%), accessed the clinics. The team completed 15,437 lab investigations and 26,998 consultations. Among 5542 (48.6%) patients that reported chronic conditions, diabetes mellitus (61%) and hypertension (45%) were the most frequent. In patients with diabetes mellitus and hypertension, 43% and 75.3% were newly diagnosed, respectively. Diabetes mellitus and hypertension patients had significant reductions in fasting blood sugar (-33.0 mg/dL (95% CI (-42.4, -23.7, P < 0.001)), and systolic (-9.6 mmHg (95% CI (-12.1, -7.0), P < 0.0001)) and diastolic blood pressure (-5.5 mmHg (95% CI (-7.0, -4.08), P < 0.0001)) at nine months from first visit, respectively.ConclusionsThe ‘Digisahayam’ model demonstrated feasibility in enhancing healthcare accessibility and quality by bridging healthcare gaps, diagnosing chronic conditions, and improving patient outcomes. The model presents a scalable and sustainable approach to revolutionising patient care and achieving digital health equity, with the potential for adaptation in similar settings worldwide.

Towards women's digital health equity: A qualitative inquiry into attitude and adoption of reproductive mHealth services in Bangladesh.

Health equity in Bangladesh faces a large chasm over the economic conditions, socio-cultural factors and geographic location despite the push for digitalization of the health sector. While some research has been conducted assessing the viability of digital health solutions in Bangladesh, gender dynamics of digital healthcare have been absent. This study dived into healthcare equity for women with a focus on reproductive health services delivered through mobile devices. This paper reported the findings of a qualitative study employing in-depth interviews conducted among 26 women about their behavioral intention to use mHealth services for reproductive health and the underlying factors influencing this intention with the help of the Integrative Model of Planned Behavior (IMPB). A snowball sampling technique were used to interview those university educated women, aged 21-31, based on their familiarity and exposure of mHealth services from seven universities in Bangladesh. The findings suggested that users of mHealth services find it more convenient and secure compared to visiting healthcare facilities, especially for trivial issues and inquiries regarding their reproductive health. Although promoting such services is lagging behind traditional healthcare, the attitude toward reproductive health services in Bangladesh is generally favorable resulting increasing adoption and use. Because such information-related mobile services (apps, websites, and social media) served as a first base of knowledge on reproductive health among many young girls and women in Bangladesh, who are generally shy to share or talk about their menstruation or personal health problems with family members, peers, or even health professionals due to socio-cultural factors and stigmatization. Conversely, urban centric services, availability of experts, quality management, security of privacy, authenticity of the information, digital divide, lack of campaign initiatives, lack of equipment and technology, lack of sex education, and outdated apps and websites were identified as obstacles that constrain the widespread use of reproductive mHealth services in Bangladesh. This study also concluded that promotion will be crucial in reforming conservative norms, taboos, and misconceptions about women's health and recommended such endeavors to be initiated by the policy makers as there is a substantive need for a specific policy regulating emerging digital health market in Bangladesh. Notwithstanding, women-only sample, low sample size, narrow focus on mHealth users and absence of perspectives from healthcare providers were among shortcomings of this study which could be addressed in future research. Further quantitative explorations are must to determine the usage patterns of reproductive mHealth services and their effectiveness that would identify implementation challenges in terms of customization and personalization in reproductive healthcare in a developing country like Bangladesh.

Digital health and equitable access to care.

Research on digital health equity has developed in important ways especially since the onset of the COVID-19 pandemic, with a series of clear recommendations now established for policy and practice. However, research and policy addressing the health system dimensions of digital health equity is needed to examine the appropriate roles of digital technologies in enabling access to care. We use a highly cited framework by Levesque et al on patient-centered access to care and the World Health Organization's framework on digitally enabled health systems to generate insights into the ways that digital solutions can support access to needed health care for structurally marginalized communities. Specifically, we mapped the frameworks to identify where applications of digital health do and do not support access to care, documenting which dimensions of access are under-addressed by digital health. Our analysis suggests that digital health has disproportionately focused on downstream enablers of access to care, which are low-yield when equity is the goal. We identify important opportunities for policy makers, funders and other stakeholders to attend more to digital solutions that support upstream enablement of peoples' abilities to understand, perceive, and seek out care. These areas are an important focal point for digital interventions and have the potential to be more equity-enhancing than downstream interventions at the time that care is accessed. Overall, we highlight the importance of taking a health system perspective when considering the roles of digital technologies in enhancing or inhibiting equitable access to needed health care.

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.

Digital Health Readiness and Health Equity

Digital Health Readiness and Health Equity

Framework Development for Reducing Attrition in Digital Dietary Interventions: Systematic Review and Thematic Synthesis.

Dietary behaviors significantly influence health outcomes across populations. Unhealthy diets are linked to serious diseases and substantial economic burdens, contributing to approximately 11 million deaths and significant disability-adjusted life years annually. Digital dietary interventions offer accessible solutions to improve dietary behaviors. However, attrition, defined as participant dropout before intervention completion, is a major challenge, with rates as high as 75%-99%. High attrition compromises intervention validity and reliability and exacerbates health disparities, highlighting the need to understand and address its causes. This study systematically reviews the literature on attrition in digital dietary interventions to identify the underlying causes, propose potential solutions, and integrate these findings with behavior theory concepts to develop a comprehensive theoretical framework. This framework aims to elucidate the behavioral mechanisms behind attrition and guide the design and implementation of more effective digital dietary interventions, ultimately reducing attrition rates and mitigating health inequalities. We conducted a systematic review, meta-analysis, and thematic synthesis. A comprehensive search across 7 electronic databases (PubMed, MEDLINE, Embase, CENTRAL, Web of Science, CINAHL Plus, and Academic Search Complete) was performed for studies published between 2013 and 2023. Eligibility criteria included original research exploring attrition in digital dietary interventions. Data extraction focused on study characteristics, sample demographics, attrition rates, reasons for attrition, and potential solutions. We followed ENTREQ (Enhancing the Transparency in Reporting the Synthesis of Qualitative Research) and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and used RStudio (Posit) for meta-analysis and NVivo for thematic synthesis. Out of the 442 identified studies, 21 met the inclusion criteria. The meta-analysis showed mean attrition rates of 35% for control groups, 38% for intervention groups, and 40% for observational studies, with high heterogeneity (I²=94%-99%) indicating diverse influencing factors. Thematic synthesis identified 15 interconnected themes that align with behavior theory concepts. Based on these themes, the force-resource model was developed to explore the underlying causes of attrition and guide the design and implementation of future interventions from a behavior theory perspective. High attrition rates are a significant issue in digital dietary interventions. The developed framework conceptualizes attrition through the interaction between the driving force system and the supporting resource system, providing a nuanced understanding of participant attrition, summarized as insufficient motivation and inadequate or poorly matched resources. It underscores the critical necessity for digital dietary interventions to balance motivational components with available resources dynamically. Key recommendations include user-friendly design, behavior-factor activation, literacy training, force-resource matching, social support, personalized adaptation, and dynamic follow-up. Expanding these strategies to a population level can enhance digital health equity. Further empirical validation of the framework is necessary, alongside the development of behavior theory-guided guidelines for digital dietary interventions. PROSPERO CRD42024512902; https://tinyurl.com/3rjt2df9.

Scoping review protocol: what is the state of evidence for the use of communication apps with immigrant seniors in long-term care and community settings?

First language care is critical for older immigrant adults with limited English proficiency, especially in long-term care settings where most residents require staff assistance and experience complex chronic conditions, resulting in multiple communication interactions where language poses a barrier. Although there are a myriad of cultural-language translation apps and devices available, there is a gap in both research and practice on the acceptability and feasibility of these digital resources within the context of long-term care and community settings for older immigrant adults, from a cultural relevance and digital health equity perspective. Our paper outlines a scoping review protocol to examine the state of the literature on the extent to which cultural-language translation apps are used in long-term care settings and community-based elder care. We will also examine the extent to which such apps bridge or further gaps in equitable, accessible and acceptable care for older immigrant adults with limited English language proficiency. This scoping review protocol will employ an adapted five-stage framework outlined by Arksey and O'Malley guided by enhancements recommended by Levac et al and Colquhoun et al. Using the Joanna Briggs Institute's population, concept and context framework, we defined the scope of the scoping review by identifying the target population, concepts for investigation and the context within which the research is situated. We will conduct a search of the literature from 2005 to 2024 using five bibliographic databases from health sciences (Healthstar OVID, MEDLINE OVID and Cumulative Index to Nursing and Allied Health Literature (CINAHL) EBSCO), engineering (Engineering Village Elsevier) and a cross-disciplinary database (Web of Science Clarivate). The research team will adopt a critical, equity-focused approach for the scoping review by integrating Richardson et al's framework for Digital Health Equity into our analysis of the findings. This will ensure that health and social equity perspectives are integrated within our methodology and analytical lens. Our analysis will specifically examine selected studies for their engagement with health equity and their ability to address issues such as ageism, ableism and the digital divide within geriatric care. Ethics approval is not required for this scoping review as it involves secondary analysis of published works and no primary data collection involving human subjects. Findings of the review will be shared with community partners and disseminated through publications, conferences and peer-reviewed publications.

Expanding a Behavioral View on Digital Health Access: Drivers and Strategies to Promote Equity.

The potential and threat of digital tools to achieve health equity has been highlighted for over a decade, but the success of achieving equitable access to health technologies remains challenging. Our paper addresses renewed concerns regarding equity in digital health access that were deepened during the COVID-19 pandemic. Our viewpoint is that (1) digital health tools have the potential to improve health equity if equitable access is achieved, and (2) improving access and equity in digital health can be strengthened by considering behavioral science-based strategies embedded in all phases of tool development. Using behavioral, equity, and access frameworks allowed for a unique and comprehensive exploration of current drivers of digital health inequities. This paper aims to present a compilation of strategies that can potentially have an actionable impact on digital health equity. Multilevel factors drive unequal access, so strategies require action from tool developers, individual delivery agents, organizations, and systems to effect change. Strategies were shaped with a behavioral medicine focus as the field has a unique role in improving digital health access; arguably, all digital tools require the user (individual, provider, and health system) to change behavior by engaging with the technology to generate impact. This paper presents a model that emphasizes using multilevel strategies across design, delivery, dissemination, and sustainment stages to advance digital health access and foster health equity.

Political prioritization for digital health and health equity through global health diplomacy.

Political prioritization for digital health and health equity through global health diplomacy.

Addressing Digital Literacy in Telehealth Interventions for Persons with Dementia.

As telehealth reshapes healthcare, the landscape for persons with dementia and their caregivers is rapidly evolving. Our scoping review examines how digital health equity was addressed or examined in the context of telehealth interventions among PwD and their family caregivers. We conducted a scoping review and used four electronic databases, PubMed, CINHAL, Embase, and Scopus, using combinations of keywords including "digital literacy," "caregivers," and "dementia." We analyzed 8 studies that met the inclusion criteria. Almost half of the studies were descriptive studies and have emphasized the importance of educating digital inclusiveness to all stakeholders including nurses.

Advancing Digital Health Equity: An Interdisciplinary Educational Approach to Digital Health Access and Inclusivity.

The innovatively structured BCIT Digital Health program is designed to build digital-care capacity within the healthcare workforce to improve outcomes across healthcare communities and optimize clinical transformation. An equity-oriented focus and an active commitment to reducing health disparities puts the patient voice at the centre of the program. To improve accessibility in digital health, the program focuses on inclusivity strategies such as capacity building, Indigenous perspectives, equity-oriented care and providing training to build an effective digital healthcare system. By combining clinical expertise with technological competencies and anchoring it all in a commitment to equity, this program will help reshape the future of innovative and equitable healthcare delivery.

A cross-sectional survey assessing clinicians' perspectives towards redesigning the surveillance model for head and neck cancer: can we do better?

Service delivery of post-treatment surveillance in head and neck cancer (HNC) varies across institutions in Australia. To better understand current practices and develop protocols that maximize service capacity or incorporate emerging technologies, especially in under-resourced regional and remote communities, it is important to obtain the perspectives of clinicians that regularly manage patients with HNC. This cross-sectional study utilized an online survey distributed via email to specialists recruited from HNC-associated networks across Australia. The survey captured information on current practices and explored clinician perspectives towards re-designing the current surveillance model to incorporate telehealth or patient-reported outcome measures (PROMs). Quantitative data was analyzed using descriptive statistics while open-ended survey comments were analyzed using a content analysis approach. Forty participants completed the survey (25 surgeons, 9 medical oncologists, 5 radiation oncologists and 1 oral medicine specialist). Most clinicians used either institution-specific guidelines (44%) or National Comprehensive Cancer Network guidelines (39%), with the remaining 17% using surveillance intervals based on patient symptoms. Following treatment, 53% of participants imaged patients only when there was clinical suspicion of recurrence or new symptoms. Planned surveillance imaging was conducted at 6 or 12-monthly intervals based on the HNC subtype. Fifty-seven percent of clinicians were open to redesigning the surveillance model, specifically in low-risk patients who did not require nasoendoscopic examination. Seventy-one percent had concerns regarding the feasibility of telehealth appointments, citing disparities in digital health equity. Additionally, 61% felt PROMs are currently underutilized and were open to incorporating HNC-specific PROMS into surveillance. Open-ended responses indicated that within the current surveillance model, "fragmented service provision" and "administration issues" were significantly impacting on timing of care. Surveyed HNC clinicians feel that current post-treatment surveillance can be fragmented and potentially lead to delayed care. They are open to incorporating PROMS to assist in surveillance scheduling, especially in low-risk patients.

Lessons learned from a multi-site collaborative working toward a digital health use screening tool.

Digital health has the potential to expand health care and improve outcomes for patients-particularly for those with challenges to accessing in-person care. The acceleration of digital health (and particularly telemedicine) prompted by the Coronavirus-19 (COVID-19) pandemic facilitated continuity of care in some settings but left many health systems ill-prepared to address digital uptake among patients from underserved backgrounds, who already experience health disparities. As use of digital health grows and the digital divide threatens to widen, healthcare systems must develop approaches to evaluate patients' needs for digital health inclusion, and consequentially equip patients with the resources needed to access the benefits of digital health. However, this is particularly challenging given the absence of any standardized, validated multilingual screening instrument to assess patients' readiness for digital healthcare that is feasible to administer in already under-resourced health systems. This perspective is structured as follows: (1) the need for digital health exclusion risk screening, (2) our convening as a group of stakeholders, (3) our review of the known digital health screening tools and our assessment, (4) formative work with patients regarding their perceptions on language and concepts in the digital health screening tools, and (5) conclusion with recommendations for digital health advocates generated by this collaborative of digital health researchers and operations leaders. There is a need to develop a brief, effective tool to screen for digital health use that can be widely implemented in diverse populations. We include lessons learned from our experiences in developing and testing risk of digital health exclusion screening questions in our respective health systems (e.g., patient perception of questions and response options). Because we recognize that health systems across the country may be facing similar challenges and questions, this perspective aims to inform ongoing efforts in developing health system digital exclusion screening tools and advocate for their role in advancing digital health equity.

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.

A system-wide approach to digital equity: the Digital Access Coordinator program in primary care.

The transition to digital tools prompted by the pandemic made evident digital disparities. To address digital literacy gaps, we implemented a system-wide digital navigation program. The Digital Access Coordinator (DAC) program consists of 12 multilingual navigators who support patients in enrolling and using the patient portal and digital tools. We implemented the program in our primary care network which consists of 1.25 million patients across 1211 clinicians. From May 2021 to November 2022, the DACs completed outreach to 16045 patients. Of the 13413 patients they reached, they successfully enrolled 8193 (61%) patients in the patient portal. Of those patients they enrolled, most patients were of Other race, Hispanic ethnicity, and were English-speaking (44%) and Spanish-speaking patients (44%). Using our embedded model, we increased enrollment across 7 clinics (mean increase: 21.3%, standard deviation: 9.2%). Additionally, we identified key approaches for implementing a digital navigation program. Organizations can support patient portal enrollment, a key part of digital health equity, by creating and prioritizing digital navigation programs.

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

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. 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. 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. 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. 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. DERR1-10.2196/53855.

Construction of the Digital Health Equity-Focused Implementation Research Conceptual Model - Bridging the Divide Between Equity-focused Digital Health and Implementation Research.

Digital health implementations and investments continue to expand. As the reliance on digital health increases, it is imperative to implement technologies with inclusive and accessible approaches. A conceptual model can be used to guide equity-focused digital health implementations to improve suitability and uptake in diverse populations. The objective of this study is expand an implementation model with recommendations on the equitable implementation of new digital health technologies. The Digital Health Equity-Focused Implementation Research (DH-EquIR) conceptual model was developed based on a rigorous review of digital health implementation and health equity literature. The Equity-Focused Implementation Research for Health Programs (EquIR) model was used as a starting point and merged with digital equity and digital health implementation models. Existing theoretical frameworks and models were appraised as well as individual equity-sensitive implementation studies. Patient and program-related concepts related to digital equity, digital health implementation, and assessment of social/digital determinants of health were included. Sixty-two articles were analyzed to inform the adaption of the EquIR model for digital health. These articles included digital health equity models and frameworks, digital health implementation models and frameworks, research articles, guidelines, and concept analyses. Concepts were organized into EquIR conceptual groupings, including population health status, planning the program, designing the program, implementing the program, and equity-focused implementation outcomes. The adapted DH-EquIR conceptual model diagram was created as well as detailed tables displaying related equity concepts, evidence gaps in source articles, and analysis of existing equity-related models and tools. The DH-EquIR model serves to guide digital health developers and implementation specialists to promote the inclusion of health-equity planning in every phase of implementation. In addition, it can assist researchers and product developers to avoid repeating the mistakes that have led to inequities in the implementation of digital health across populations.

Achieving Digital Health Equity in Diabetes Care

Achieving Digital Health Equity in Diabetes Care

IJCM_214A: Digital interventions for childhood malnutrition in a tribal area of Andhra Pradesh: Understanding the problem through a health system perspective

Background: Childhood malnutrition is a major public health concern in the tribal areas of Andhra Pradesh, India, particularly in the region of ITDA Rampachodavaram. The integration and effectiveness of digital health interventions in these underserved regions are vital for addressing this endemic issue. However, the unique challenges posed by the remote and resource- limited settings of tribal areas make the implementation of such interventions particularly complex. Moreover, the varying complexity of the digital health ecosystem in these areas adds another layer of concern to deploying digital health solutions. Objectives: 1. To explore digital health interventions related to childhood malnutrition in the Integrated Tribal Development Agency (ITDA) of Rampachodavaram. 2. To understand the dynamics of the local health system and the digital health ecosystem in the implementation of these interventions. 3. To examine the role of street-level bureaucrats in implementing digital interventions and identify the barriers and facilitators affecting this process Methodology: The research was conducted in ITDA Rampachodavaram, involving interviews with health system officials and Focus Group Discussions (FGDs) with frontline health workers. The Health System Dynamics (HSD) framework and Lipsky’s theory on street-level bureaucrats were utilized, and enriched with insights into the digital health ecosystem. Results: The study reveals significant systemic, contextual, and human factors influencing the implementation of digital health interventions. Challenges include the complex role of street-level bureaucrats and systemic barriers like inadequate training, technological limitations, and disparities in digital access and literacy. Conclusion: This study highlights the potential of digital health interventions in improving childhood malnutrition outcomes in tribal areas. It stresses the importance of adaptive, inclusive strategies and advocates for digital health equity. Empowering frontline health workers and tailoring interventions to the specific health system dynamics and digital ecosystem of tribal regions are key for effective implementation.