Aya Contigo: evaluation of a digital intervention to support self-managed medication abortion in Venezuela.

Background: Venezuela continues to face a humanitarian crisis, where healthcare is difficult to access and abortion is legally restricted. In response to a growing need for life-saving abortion and sexual and reproductive health (SRH) services, a digital application called Aya Contigo was co-developed with local partners to support self-managed medication abortion. We sought to evaluate this digital health tool among pregnant people seeking abortion in Venezuela. Methods: This is a mixed-methods pilot evaluation of Aya Contigo, a digital tool for pregnant people seeking abortion in Venezuela. From April to June of 2021, people in the first trimester of pregnancy were recruited via passive sampling. Once enrolled, participants accessed information and resources on the application and were supported by study team members over an encrypted chat. Following medication abortion, participants completed an online survey and a semi-structured interview. Descriptive statistics were used to evaluate the survey responses. Interviews were coded thematically and analyzed qualitatively with NVivo. Results: Forty participants seeking medication abortion in Venezuela were recruited to the study and given access to Aya Contigo. Seventeen completed the online survey (42.5%), with all participants identifying as women and a mean age of 28 (range 19-38; SD 5.55). Participants expressed confidence in Aya Contigo; 53% (9/17) felt "very supported" and the remaining 47% (8/17) felt "somewhat supported" by the app throughout the self-managed abortion process. The app was rated as highly usable, with an overall System Usability Scale score of 83.4/100. Thirteen respondents participated in a semi-structured phone interview, and qualitative analysis identified key themes relating to the experience of seeking abortion in Venezuela, the user experience with Aya Contigo, and the app's role in the existing ecosystem of abortion and contraceptive care in Venezuela. Discussion: This mixed-methods pilot study demonstrates that the Aya Contigo mobile application may support pregnant people seeking medication abortion and post-abortion contraceptive services in Venezuela. Participants valued the provision of evidence-based information, virtual accompaniment services, and locally-available sexual and reproductive health resources via the digital tool. Further research and interventions are needed to ensure that all pregnant people in Venezuela can access safe abortion and contraceptive resources.

Enabling awareness, agency and participation: Haematology patient experiences of an (in)patient portal's information affordances.

This study examines patient experiences of an inpatient portal's information affordances, including access to results, notes, vital signs, medication information and a schedule. Patient participants were recruited from an inpatient ward primarily catering to patients with haematological malignancies including leukaemia and bone marrow transplant recipients at the Royal Melbourne Hospital. Although focused on the inpatient experience of a portal's information affordances accessed via a hospital-provided tablet, due to limited patient access to notes in the inpatient context, this study also explored patient experiences of their outpatient portal notes accessed via their smartphone. This study demonstrates the value of an (in)patient portal in enabling patient awareness, agency and participation in their care. It shows how an (in)patient portal not only helps patients make informed decisions in their care, but can also initiate patient conversation and collaboration with clinicians. This study points how the digital mediation of healthcare can provide greater transparency in the patient-clinician relationship and address the information asymmetry that typically characterises this relationship, particularly in the Australian context, where inpatient portals are still in their infancy.

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

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

Developing, delivering, and evaluating an online course on socially assistive robots in culturally competent and compassionate healthcare: A sequential multiphase, mixed-method study.

Objective: Artificially intelligent socially assistive robots are a growing technology. There is no evidence-based, theory-informed, open access training targeting health and social care professionals on this advanced technology. This collaborative, international European project - the IENE 10 study - developed, delivered, and evaluated the first Massive Open Online Course on socially assistive robots. Methods: A sequential mixed-method design with five phases: (1) literature review; (2) development of the Transcultural Robotic Nursing curriculum model from the care ethics principles of cultural competence and compassion; (3) development of modules, learning units, and assessments; (4) choice of the digital platform, e-facilitators' training, and definition of the evaluation strategy; (5) recruitment campaign. The methodology was collaborative among the six European partner institutions, who all contributed to each phase, from planning to the outputs. All project outputs and MOOC contents were translated into the four languages of the partners. Results: Training needs identified included: knowledge about social robots' functionality; how to operate them; legal, ethical, and human rights' issues. The course had four modules: Awareness, Knowledge, Sensitivity and Competence, with four learning units each. E-learners (n = 240) were mostly based in the project partners' countries and with no previous training on social robots. Graduated e-learners (n = 185) found their knowledge and skills enhanced, both in relation to social robots and cultural competence. The learning units and the overall quality of the course were rated between good and excellent. Conclusions: The IENE 10 project pioneeringly addressed the training needs of health and social care professionals in the era of AI social robots. The collaborative and sequentially phased design proved useful in the integration of a care ethics model. This work reflects the holistic approach needed for preparing professionals for the complexities of contemporary healthcare.

The application of explainable artificial intelligence (XAI) in electronic health record research: A scoping review.

Machine Learning (ML) and Deep Learning (DL) models show potential in surpassing traditional methods including generalised linear models for healthcare predictions, particularly with large, complex datasets. However, low interpretability hinders practical implementation. To address this, Explainable Artificial Intelligence (XAI) methods are proposed, but a comprehensive evaluation of their effectiveness is currently limited. The aim of this scoping review is to critically appraise the application of XAI methods in ML/DL models using Electronic Health Record (EHR) data. In accordance with PRISMA scoping review guidelines, the study searched PUBMED and OVID/MEDLINE (including EMBASE) for publications related to tabular EHR data that employed ML/DL models with XAI. Out of 3220 identified publications, 76 were included. The selected publications published between February 2017 and June 2023, demonstrated an exponential increase over time. Extreme Gradient Boosting and Random Forest models were the most frequently used ML/DL methods, with 51 and 50 publications, respectively. Among XAI methods, Shapley Additive Explanations (SHAP) was predominant in 63 out of 76 publications, followed by partial dependence plots (PDPs) in 11 publications, and Locally Interpretable Model-Agnostic Explanations (LIME) in 8 publications. Despite the growing adoption of XAI methods, their applications varied widely and lacked critical evaluation. This review identifies the increasing use of XAI in tabular EHR research and highlights a deficiency in the reporting of methods and a lack of critical appraisal of validity and robustness. The study emphasises the need for further evaluation of XAI methods and underscores the importance of cautious implementation and interpretation in healthcare settings.

Development and optimisation of a mobile app (iMPAKT) for improving person-centred practice in healthcare settings: A multi-methods evaluation study.

Objective: To develop and optimise an app (iMPAKT) for improving implementation and measurement of person-centred practice in healthcare settings. Methods: Two iterative rounds of testing were carried out based on cognitive task analysis and qualitative interview methods. The System Usability Scale (SUS) was also used to evaluate the app. Quantitative data on task completion and SUS scores were evaluated descriptively, with thematic analysis performed on qualitative data. The MoSCoW prioritisation system was used to identify key modifications to improve the app. Results: Twelve participants took part (eight health professionals and four patient and public involvement representatives). Views on design and structure of the app were positive. The majority of the 16 tasks undertaken during the cognitive task analysis were easy to complete. Mean SUS scores were 73.5/100 (SD: 7.9; range = 60-92.5), suggesting good overall usability. For one section of the app that transcribes patients speaking about their experience of care, a non-intuitive user interface and lack of transcription accuracy were identified as key issues influencing usability and acceptability. Conclusions: Findings from the evaluation were used to inform iterative modifications to further develop and optimise the iMPAKT App. These included improved navigational flow, and implementation of an updated artificial intelligence (AI) based Speech-To-Text software; allowing for more accurate, real-time transcription. Use of such AI-based software represents an interesting area that requires further evaluation. This is particularly apparent in relation to potential for large-scale collection of data on person-centred measures using the iMPAKT App, and for assessing initiatives designed to improve patient experience.

Developing personas to inform the design of digital interventions for perinatal mental health.

Objectives: Digital interventions are increasingly in demand to address mental health concerns, with significant potential to reach populations that disproportionately face barriers to accessing mental health care. Challenges with user engagement, however, persist. The goal of this study was to develop user personas to inform the development of a digital mental health intervention (DMHI) for a perinatal population. Materials and Methods: We used participatory User-Centered Design (UCD) methods to generate and validate personas (ie, representative profiles of potential users). We applied this methodology to a case example of an Anxiety Sensitivity Intervention. Phases included (1) Characteristic identification, (2) Persona generation, (3) Persona consolidation, (4) Persona validation, and (5) Persona refinement. Advisory Council members with lived expertise of perinatal mental health conditions generated 6 personas. We used cluster analysis and qualitative analysis to consolidate personas. We used participant interviews with perinatal individuals experiencing depression or anxiety and economic marginalization (n = 12) to qualitatively validate and refine these personas. Results: We identified 4 user personas with potentially unique design needs that we characterized as being "Resilient," "Lonely," "Overwhelmed," and "Aware." Discussion: Personas generated through this process had distinct characteristics and design implications including the need to prioritize (1) content personalization, (2) additional content describing support options and resources (eg, doulas, midwives), (3) careful consideration of the type of information provided by users, and (4) transparent options for information and data sharing. Conclusion: DMHIs will need to be adapted for relevance for a perinatal population. The personas we developed are suggestive of the need for design considerations specific to distinct potential user groups within this population.

Social Media Use in Adolescents: Bans, Benefits, and Emotion Regulation Behaviors.

Unlabelled: Social media is an integral part of adolescents' daily lives, but the significant time they invest in social media has raised concerns about the effect on their mental health. Bans and severe restrictions on social media use are quickly emerging as an attempt to regulate social media use; however, evidence supporting their effectiveness is limited. Adolescents experience several benefits from social media, including increased social connection, reduced loneliness, and a safe space for marginalized groups (eg, LGBTQ+) to interact. Rather than enforcing bans and severe restrictions, emotion regulation should be leveraged to help adolescents navigate the digital social environment. This viewpoint paper proposes a nuanced approach toward regulating adolescent social media use by (1) discontinuing the use of ineffective bans, (2) recognizing the benefits social media use can have, and (3) fostering emotion regulation skills in adolescents to encourage the development of self-regulation.

Top-funded companies offering digital health interventions for the prevention and treatment of depression: a systematic market analysis.

BACKGROUND: Digital innovations can reduce the global burden of depression by facilitating timely and scalable interventions. In recent years, the number of commercial Digital Health Interventions for Depression (DHIDs) has been on the rise. However, there is limited knowledge on their content and underpinning scientific evidence. This study aimed to: (i) identify the top-funded companies offering DHIDs and (ii) provide an overview of their interventions, including scientific evidence, psychotherapeutic approaches and use of novel technologies. METHODS: A systematic search was conducted using two venture capital databases to identify the top-30 funded companies offering DHIDs. In addition, studies related to the DHIDs' were identified via academic databases and hand-searching. The methodological quality of the publications was evaluated using the Mixed Methods Appraisal Tool. RESULTS: The top-30 funded companies offering DHIDs received a total funding of 2,592 million USD. Less than half of the companies produced any scientific research associated with their DHIDs, with a total of 83 publications identified. Twenty-five publications were randomised control trials, of which 15 reported moderate-to-large effects in reducing depression symptoms. Regarding novel technologies, few DHIDs incorporated the use of conversational agents or low-burden sensing technologies. CONCLUSIONS: Funding received by top-funded companies was not related to the amount of scientific evidence provided on their DHIDs. There was a strong variation in the quantity of evidence produced and an overall need for more rigorous effectiveness trials. Few DHIDs used automated approaches such as conversational agents, limiting their scalability.

Gait compensations, pain, and functional performance during the six minute walk test in individuals with unilateral hip osteoarthritis.

BACKGROUND: Individuals with unilateral hip osteoarthritis walk with kinematic and spatiotemporal compensations compared to healthy individuals. Our purpose was to determine associations between gait, pain, and functional performance during the six-minute walk test. METHODS: Trunk and hip kinematics and spatiotemporal gait outcomes were recorded from individuals with unilateral hip osteoarthritis using inertial sensors (Xsens Technologies). Pain was collected prior to and at the end of the six-minute walk test. Paired t-tests were conducted to evaluate gait between limbs and between the first and final minutes of walking. Correlations were conducted between gait, pain, and six-minute walk test performance. FINDINGS: Nineteen participants (8 females, age: 63 ± 5 yrs. , BMI: 29.0 ± 4.5 kg/m2) completed the study. Between-limb differences in hip flexion, hip extension, and trunk forward flexion peak angles were observed during the six-minute walk test (P < .05). Participants demonstrated an increase in trunk forward flexion of the osteoarthritis side (t = -2.34, P = .031) and a bilateral decrease in stride length (osteoarthritis limb: t = 2.98, P = .008, non- osteoarthritis limb: t = 3.17, P = .006) from the first to the final minute of walking. Greater pain was associated with greater osteoarthritis limb hip extension (first minute: r = -0.506, P = .027, final minute: r = -0.53, P = .020) and greater hip abduction (r = 0.46, P = .046) during the final minute of walking. INTERPRETATIONS: Gait compensations increase throughout the six-minute walk test, and pain associates with hip kinematics during the six-minute walk test. Wearable technology may allow for more accurate clinical movement assessments.

Using digital technologies and applications in midwifery practice in Belgium: A descriptive cross-sectional study.

INTRODUCTION: Over the past two decades, there has been a dramatic increase in the use of digital technologies within healthcare and also in midwifery. However, scarce literature exist on the use of digital technologies and applications in midwifery practice particularly in the Belgian setting. AIM: To map the use of digital technologies and applications by midwives in various settings, encompassing hospitals, primary care, and educational institutions in Belgium. METHODS: A descriptive cross-sectional design was used to collect data via an online questionnaire targeting at midwives working in the Flemish region, Walloon region, or Brussels-Capital region. Midwives were either Dutch-speaking or French-speaking (n = 212). The semi-structured questionnaire addressed three domains: (1) socio-demographics, (2) employment information (3) the use of digital technology, including the level of comfort with technology. Qualtrics© program was used for managing data and SPSS v28.0© for data analysis using descriptive statistics, Chi² analysis, and independent sample t-test. The study adhered to the Strengthening the Reporting of Observational Studies in Epidemiology reporting guidelines. RESULTS: Among respondents, 58% reported the use of digital technologies and applications, with electronic health records (89.6%), electronic prescriptions (65.6%), and remote patient monitoring (51.2%) commonly utilized. Sensor technology (7.2%), mixed care (3.8%), care robots (2.5%), and wearable devices (1.9%) were very rarely used. The target groups for these digital technologies and applications generally encompass all stages of the perinatal period. Midwives felt overall highly confident with these technologies. Younger participants and those with a Master's or PhD degree exhibited greater comfort scores in digital technology use. No significant relationships were observed between socio-demographic characteristics and the adoption of digital technology. CONCLUSION: The results highlight the potential for incorporating digital technologies and applications into various midwifery care settings. Addressing barriers and enhancing usability can optimize technology integration, contributing to personalized high-quality care, ultimately improving perinatal health outcomes.

Statistical refinement of patient-centered case vignettes for digital health research.

Digital health research often relies on case vignettes (descriptions of fictitious or real patients) to navigate ethical and practical challenges. Despite their utility, the quality and lack of standardization of these vignettes has often been criticized, especially in studies on symptom-assessment applications (SAAs) and self-triage decision-making. To address this, our paper introduces a method to refine an existing set of vignettes, drawing on principles from classical test theory. First, we removed any vignette with an item difficulty of zero and an item-total correlation below zero. Second, we stratified the remaining vignettes to reflect the natural base rates of symptoms that SAAs are typically approached with, selecting those vignettes with the highest item-total correlation in each quota. Although this two-step procedure reduced the size of the original vignette set by 40%, comparing self-triage performance on the reduced and the original vignette sets, we found a strong correlation (r = 0.747 to r = 0.997, p < .001). This indicates that using our refinement method helps identifying vignettes with high predictive power of an agent's self-triage performance while simultaneously increasing cost-efficiency of vignette-based evaluation studies. This might ultimately lead to higher research quality and more reliable results.

Unleashing the potential of eHealth in outpatient cancer care for patients undergoing immunotherapy-a quantitative study considering patients' needs and current healthcare challenges.

Background: The use of online information and communication is globally increasing in the healthcare sector. In addition to known benefits in other medical fields, possible specific potentials of eHealth lie in the monitoring of oncological patients undergoing outpatient therapy. Specifically, the treatment with immune checkpoint inhibitors (ICI) requires intensive monitoring due to various possible negative side effects. The present study explores cancer patients' perspectives on eHealth and demonstrates how eHealth applications, from the patients' point of view, can contribute to further improving outpatient immunotherapy. Methods and findings: Our multicenter study was executed at the university hospitals in Bonn and Aachen. A structured questionnaire was distributed to patients receiving outpatient immunotherapy. Contents addressed were (1) the patients' attitude towards eHealth applications, (2) the use of modern information and communications technologies (ICT) in (2a) everyday life and (2b) health-related information search including eHealth literacy, (3) the use of internet-enabled devices as well as (4) socio-demographic data. 164 patients were included in the study, of whom 39.0% were female and 61.0% male and the average age was 62.8 years. Overall, there was a high distribution of internet-enabled devices for everyday use and a great interest in integrating eHealth applications into outpatient immunotherapy. The assessment of eHealth potentials significantly depended on age. The younger participants demonstrated a broader use of modern ICT and a higher affinity for its use in outpatient immunotherapy. In some aspects, level of education and gender were also relevant factors influencing the patients' view on eHealth. Conclusion: This study demonstrates the potential for further integration of eHealth applications into outpatient immunotherapy from the patients' perspective. It indicates a dependency on age and educational level for the further integration of eHealth into patient care in oncology. Due to particular patient needs regarding age, level of education, gender and other subgroups, specific education and training as well as target-group specific digital health interventions are necessary to fully utilize the potentials of eHealth for outpatient immunotherapy. Future studies are required to specifically address target-group specific usability of eHealth applications and eHealth literacy, as well as to address information security and data protection.

Exploring the practice and attitudes of psychiatrists and psychologists towards patient-targeted googling in China.

Background: Patient-targeted Googling (PTG) is an unavoidable aspect of the internet era, offering both opportunities and risks. However, no PTG studies have been conducted in Asian contexts to date. Additionally, existing research has provided limited exploration of factors influencing PTG practices, particularly regarding the professional differences between psychiatrists and psychologists. This study seeks to address these research gaps. Method: A total of 943 licensed psychiatrists and psychologists working in China completed an online survey. The survey included their attitudes towards PTG (including general attitude, application situations, reasons for/against PTG) and their actual practice of PTG. Results: 250(26.5%) respondents reported using PTG. Among them, 151(60.4%) respondents sought consent from clients before use, and 142(56.8%) respondents discussed search results with clients after use. Chinese psychiatrists and psychologists have contradictory attitudes, with concerns but also recognition of its possible positive effects, and expressing a need for more guidance. Compared to psychiatrists or those working in public institutions, psychologists and those working in private institutions report greater concerns about PTG but engage in it more frequently. Conclusions: Although the sample is limited, the study reveals notable differences in attitudes and practice of PTG among Chinese psychiatrists and psychologists, which may be related to their distinct professional roles and workplace environments. These findings suggest the need for further research to better understand the underlying factors contributing to these differences. Moreover, the results highlight the importance of developing tailored ethical guidelines and targeted training programs to address PTG practices for psychiatrists and psychologists in China.

Progress made in digitalizing antimicrobial resistance surveillance in a One Health approach in Kenya.

Background: Antimicrobial resistance (AMR) is a major threat to global public health, affecting human and animal health, agriculture, food safety, and the environment. The control of AMR is often challenging, particularly when data are scanty or siloed in individual sectors. To develop evidence-based control policies for AMR, an electronic information system that integrates AMR data from various sectors, in a One Health approach, is critical. Methodology: Acknowledging the interconnectedness of AMR in humans, animals, and the environment and the need to assess the AMR burden using a One Health approach, Kenya's National Antimicrobial Stewardship Interagency Committee (NASIC), with support from FIND, integrated human and animal health AMR data at the national AMR data repository and developed the One Health AMR Surveillance System (OHAMRS). The OHAMRS comprises two core digital components: interoperability middleware for integrating data from various sources and a DHIS2 web portal for the analysis and visualization of AMR surveillance data from the human and animal health sectors. These components are scalable for future inclusion of data from other One Health sectors, e.g., the environment, food/feed, and aquaculture sectors. Results: The OHAMRS has 42 dashboards that facilitate the presentation, interpretation, and dissemination of actionable information relating to AMR, including 17 dashboards for human and animal health priority pathogens and 8 for drug-resistance indicators. The priority pathogen dashboards provide visualization of antimicrobial susceptibility patterns, resistance and susceptibility trends, resistance tables, and geospatial susceptibility maps. Other dashboards include surveillance sites and specimen reports, data completeness, data reconciliation, sample testing workload, a One Health intersectoral dashboard, and other reporting tools for diverse stakeholders. Discussion: Digitalizing AMR surveillance through a One Health lens is pivotal to understand AMR prevalence and patterns across various sectors. The OHAMRS provides comprehensive data analysis and presentation, informing policymaking on AMR control. Digital tools such as the OHAMRS are vital in facilitating the availability of data and actionable information on AMR required to address the AMR crisis in Kenya.

The Ayushman Bharat Digital Mission of India: An Assessment.

India launched the Ayushman Bharat Digital Mission (ABDM) in 2021 to strengthen the digital health ecosystem by developing and integrating health data records and registries. We apply the health system control knob framework to assess the progress of ABDM by analyzing five indicators. Data from the ABDM dashboard reveal notable progress in beneficiary registration (400 million, as of June 3, 2023) and health records linkage (273 million). The registrations of over 208,000 health facilities and 190,000 health care professionals have been verified by ABDM. However, inter-state variation in progress is significant, particularly in health facility and health professional registration. Going forward, ABDM should expand its strategic framework to ensure that more health facilities and health professionals are registered, as registration is important to influence the payment, organization, and regulation control knobs. These actions are related to the achievement of final health system goals: improved health status, financial risk protection, and beneficiary satisfaction.

The Role of Digital Health Under Taiwan's National Health Insurance System: Progress and Challenges.

Digital health covers a wide spectrum of applications of digital technologies in the healthcare field. As a new set of tools to support the health system in achieving its goals-improving access to care, quality of care, and system efficiency-digital health has significantly transformed the landscape of modern medicine and health care. This paper examines the role of digital health under Taiwan National Health Insurance, considering the profound impacts of digital health during the COVID-19 pandemic. It focuses specifically on big data management and analytics (MediCloud and My Health Bank/NHI Mobile Easy Access) and innovative service provision models (telemedicine). We discuss two imminent challenges that any health system is likely to encounter: digital trust and digital divide. For the digital divide, we assessed the use of telemedicine and its determinants during the COVID-19 pandemic. Our study shows that high-income levels and the presence of chronic or severe illness were positively correlated with the use of telemedicine. This observation suggests that poor people who have poorer health status were most likely to suffer from unmet needs for telemedicine. Enhancing cybersecurity to safeguard confidentiality, and effective communications with the public are fundamental and essential steps to regaining public trust in the digital era. When calling for more investment in digital technology, policy makers should be mindful of the potential digital divide across the demographic and socioeconomic strata, and specific policies should be devised to provide support to target the socially disadvantaged group.

Preparedness, Challenges, and Opportunities for Digital Intervention for Chronic Disease Management: A Qualitative Study in Rural Areas of South Korea.

Motivated by the prevalence of an aging population and the associated increase in chronic diseases, coupled with rising medical expenditure, the Korean government initiated a pilot project in Pyeongchang-gun, Gangwon-do, a rural area, to implement a "smart online-to-offline (O2O) digital health care model" aimed at managing and preventing chronic diseases. However, there is limited understanding regarding perspectives and levels of preparedness for digital health among stakeholders at various levels. In-depth focus group interviews were conducted with elderly and non-elderly community members, health care providers, and staff members at Pyeongchang Health and Medical Center. The study found the presence of both positive and negative perceptions and a lack of preparedness across different levels. At the end-user level, it was observed that community members, especially the elderly, have low levels of health and digital literacy, compounded by limited access to social support. At the health care provider level, there was uncertainty about the acceptance of the digital health program. At the area level, the need to bolster health staff members and enhance their capacity was observed. Recommendations include: customizing the design of the online and offline service components by considering end-user factors (such as age, occupation, and household type) that may contribute to disparities in health; establishing a platform for providers to share their experiences to facilitate the effective incorporation of digital health into their practices; and preparing an appropriate provider payment mechanism.

Analyzing the Maharashtra Ambulance Service "108": The Prospect and Challenges.

The utilization of digital health in India is playing a crucial role in enhancing healthcare services by transitioning from the current inadequate public health structure to a more efficient and patient-centric system. Digital health includes various digital tools, such as electronic health records (EHRs), telemedicine, mobile health applications, health information exchange systems, and other technological advancements to improve access, efficiency, and quality of healthcare delivery. This study investigates the prospects and challenges encountered by the newly-digitized Maharashtra Emergency Medical Services (MEMS). Utilizing the 38,823 MEMS calls from November 2022, this study investigates the current status of emergency service delivery mechanisms in Maharashtra. Through spatial analyses, this study also explores the causes behind calls. The findings of the study show that calls for 108 ambulance services were distributed across the districts and had variable service delivery time periods. Current challenges to the system arise from various urban and healthcare infrastructure problems, as well as socio-cultural challenges. Implementation of the digitized MEMS system reveals key factors that influence the service's success, assisting the policymakers and health administrators in identifying and further improving the service.