Digital Health Research Articles

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.

Study on the management effect of chronic disease intelligent information management platform in post percutaneous coronary intervention patients.

In 2019, approximately 330 million individuals in China were affected by cardiovascular diseases, with 11.4 million cases specifically attributed to coronary artery disease (CAD). A national public health report indicated that the mortality rate for CAD ranged from 121.59 to 130.14 per 100,000 individuals in 2019. The treatments for CAD include lifestyle changes, medications, percutaneous coronary intervention (PCI) and coronary artery bypass grafting. To investigate the management effect of a digital health program in patients with coronary artery disease (CAD) after percutaneous coronary intervention (PCI). This retrospective study compares blood pressure, blood glucose, low-density lipoprotein cholesterol (LDL-C), medication adherence, lifestyle modification, and readmission rate between digital health users and traditional follow-up in post-PCI CAD patients. In this study of 698 CAD patients, the 6-month readmission rate of all patients was 27.4%, with digital health users showing lower rates than those in traditional follow-up (22.6% vs. 32.1%, p= 0.005). Digital health users had significantly higher target achievements rates in blood pressure (79.7% vs. 54.7%, p< 0.001), blood glucose (98.9% vs. 82.5%, p< 0.001) and LDL-C level (71.3% vs. 52.7%, p< 0.001) at 6-month post-PCI. The digital health group had more patients adopting lifestyle changes, including quitting smoking, maintaining a healthy diet, and exercising regularly. In risk factor analysis, digital health utilization (OR = 0.60, 95%CI: 0.40-0.90, p= 0.014) and multivessel disease (double: OR = 1.72, 95%CI: 1.09-2.72, p= 0.02; triple: OR = 2.59, 95%CI: 1.61-4.17, p< 0.001) were independent predictors of CAD-related cardiovascular readmissions. Post-PCI patients using digital health platforms exhibited improved blood pressure, glucose, and LDL-C control, greater treatment adherence, enhanced lifestyle changes, and reduced six-month readmission rates versus those with traditional follow-up.

Insider action research in palliative care – the challenges of implementing digital health in a hospice organisation in the UK

This paper describes the first-person experience of being a medical consultant and novice action researcher in a UK hospice setting. A new digital IT system resulted in unexpected changes to productivity. An action research methodology using cycles of co-operative inquiry with hospice staff was chosen to investigate. The new technology caused fears among hospice nurses that the authenticity of the hospice ethos would be lost. The hospice staff were concerned about the loss of their role and identity. Action cycles were used to positively transform the hospice nursing structure and admission process

Artificial intelligence-enhanced patient evaluation: bridging art and science.

The advent of digital health and artificial intelligence (AI) has promised to revolutionize clinical care, but real-world patient evaluation has yet to witness transformative changes. As history taking and physical examination continue to rely on long-established practices, a growing pipeline of AI-enhanced digital tools may soon augment the traditional clinical encounter into a data-driven process. This article presents an evidence-backed vision of how promising AI applications may enhance traditional practices, streamlining tedious tasks while elevating diverse data sources, including AI-enabled stethoscopes, cameras, and wearable sensors, to platforms for personalized medicine and efficient care delivery. Through the lens of traditional patient evaluation, we illustrate how digital technologies may soon be interwoven into routine clinical workflows, introducing a novel paradigm of longitudinal monitoring. Finally, we provide a skeptic's view on the practical, ethical, and regulatory challenges that limit the uptake of such technologies.

Patient motivation as a predictor of digital health intervention effects: A meta-epidemiological study of cancer trials.

The objective of this meta-epidemiological study was to develop a rating that captures participants' motivation at the study level in digital health intervention (DHI) randomised controlled trials (RCTs). The rating was used to investigate whether participants' motivation is associated with the effect estimates in DHI RCTs for cancer patients. The development of the rating was based on a bottom-up approach involving the collection of information that captures participants' baseline motivation in empirical studies from the Smartphone-RCCT Database. We specified three indicators for rating: indicator 1 captures whether the study team actively selects or enhances the motivation of the potential study participants; indicator 2 captures the study participants' active engagement before the treatment allocation; and indicator 3 captures the potential bond and trust between the study participants and the person/institution referring to the study. The rating of each indicator and the overall rating varies between high motivation, moderate motivation, and low motivation. We applied the rating across 27 DHI RCTs with cancer patients. We performed meta-regression analysis to examine the effect of patient motivation on quality of life (QoL), psychological outcomes, and attrition. The intraclass correlation coefficient (ICC) indicated moderate to poor inter-rater reliability. The meta-regression showed that cancer patients' overall motivation before engaging in the intervention was associated with the treatment effect of QoL. Patient motivation was not found to be associated with psychological outcomes or attrition. Subgroup analyses revealed that the clinical effects of DHIs were more prevalent in the high-motivation subgroups, whereas the low-motivation subgroups were unlikely to show intervention benefits. The likelihood of dropouts from DHIs seems to be especially high among the low-bond (indicator 3) subgroup. We suggest using single indicators since they reflect specific content. Better reporting about baseline motivation is required to enable meaningful interpretations in not only primary studies but also in evidence syntheses.

Artificial intelligence-enhanced patient evaluation: bridging art and science.

The advent of digital health and artificial intelligence (AI) has promised to revolutionize clinical care, but real-world patient evaluation has yet to witness transformative changes. As history taking and physical examination continue to rely on long-established practices, a growing pipeline of AI-enhanced digital tools may soon augment the traditional clinical encounter into a data-driven process. This article presents an evidence-backed vision of how promising AI applications may enhance traditional practices, streamlining tedious tasks while elevating diverse data sources, including AI-enabled stethoscopes, cameras, and wearable sensors, to platforms for personalized medicine and efficient care delivery. Through the lens of traditional patient evaluation, we illustrate how digital technologies may soon be interwoven into routine clinical workflows, introducing a novel paradigm of longitudinal monitoring. Finally, we provide a skeptic's view on the practical, ethical, and regulatory challenges that limit the uptake of such technologies.

Enhancing user experience in the digital service environment: A comprehensive study on the design and evaluation of internet-based healthcare products.

In the era of burgeoning digital technology, healthcare is a challenging transformative change towards virtual and digital platforms. Internet-based healthcare services are emerging as a popular trend within the medical area. User experience (UX) is paramount for the healthcare service, as it significantly influences experience satisfaction and fosters user viscosity. Gaining a profound understanding of users' demands and crafting services that align with their expectations is essential. Consequently, exploring an effective design approach for the digital healthcare service that prioritizes UX along with utilizing a comprehensive evaluation methodology to handle UX data, is of profound importance. This study introduces a design methodology for Internet-based healthcare products grounded in the UX and mental (UX-M) model. Aiming to refine the Internet-based healthcare product design by integrating insights from the experience data, it employs the Delphi-ANP and the fuzzy comprehensive evaluation to determine evaluation indexes and conduct experiential assessments. The UX evaluation results of existing schemes are compared with the proposed design scheme of the intelligent guidance and internet hospital. The findings indicate that the UX evaluation of Internet-based medical services with the proposed method outperforms the existing schemes. On the one hand, UX research of Internet-based healthcare products can significantly enhance service satisfaction for patients utilizing online medical treatments. On the other hand, the analysis of experience-based evaluation empowers designers to refine and improve UX design of Internet-based medical services. Such research endeavors are critical for enhancing the overall quality of service offerings and elevating user satisfaction in the digital healthcare landscape.

Enhancing user experience in the digital service environment: A comprehensive study on the design and evaluation of internet-based healthcare products.

In the era of burgeoning digital technology, healthcare is a challenging transformative change towards virtual and digital platforms. Internet-based healthcare services are emerging as a popular trend within the medical area. User experience (UX) is paramount for the healthcare service, as it significantly influences experience satisfaction and fosters user viscosity. Gaining a profound understanding of users' demands and crafting services that align with their expectations is essential. Consequently, exploring an effective design approach for the digital healthcare service that prioritizes UX along with utilizing a comprehensive evaluation methodology to handle UX data, is of profound importance. This study introduces a design methodology for Internet-based healthcare products grounded in the UX and mental (UX-M) model. Aiming to refine the Internet-based healthcare product design by integrating insights from the experience data, it employs the Delphi-ANP and the fuzzy comprehensive evaluation to determine evaluation indexes and conduct experiential assessments. The UX evaluation results of existing schemes are compared with the proposed design scheme of the intelligent guidance and internet hospital. The findings indicate that the UX evaluation of Internet-based medical services with the proposed method outperforms the existing schemes. On the one hand, UX research of Internet-based healthcare products can significantly enhance service satisfaction for patients utilizing online medical treatments. On the other hand, the analysis of experience-based evaluation empowers designers to refine and improve UX design of Internet-based medical services. Such research endeavors are critical for enhancing the overall quality of service offerings and elevating user satisfaction in the digital healthcare landscape.

User Acceptability Testing of Mobile Application in Indian Local Languages for Cardiovascular Risk Stratification and Modification among Patients with Type 2 Diabetes

Introduction: Cardiovascular disease is the leading cause of death in patients with type 2 diabetes. Digital health tools like mobile application have fast emerged as a technology capable of closing the gap in cardiovascular disease self- management and revolutionizing the way healthcare is traditionally delivered. One of the causes for low app engagement of Apps in India is perhaps that few of these apps are available in local languages. The goal is to reach as many diabetic patients as possible while avoiding linguistic hurdles.  Methodology: The ‘healthy heart’ mobile app was developed and translated into Hindi and Marathi languages for CVD risk stratification and risk management among Type 2 diabetes mellitus patients. User acceptability testing of the app on its design, presentation, content, and user- friendliness was undertaken. The feedback on utility of the app for CVD risk stratification and modification was assessed. A total 100 multilingual app users profile were noted for CVD Risk Status, Life Style Practices and CVD Risk Factors.  Results: The Healthy Heart multi-lingual app was successfully developed for CVD risk classification and risk management among Type 2 diabetes mellitus patients. The patients had the choice to select the desired language of the app from the versions available in English, Hindi and Marathi. The Mobile App's Home Screen displayed the CVD risk score and category, a health tracker to monitor compliance with WHO recommendations regarding diet, physical activity, addictions, medication adherence, diabetic, and CVD Risk Profile. The majority of respondents rated the App's design, presentation, content, and user- friendliness favorably and emphasized the utility of App for CVD self-management and risk reduction. Characteristics of Type 2 Diabetic patients demonstrated poor compliance for total fruits and vegetable intake, total fat intake and total salt intake, physical activity Guidelines apart from poor control for blood pressure, glycemic control and lipid targets.  Conclusion: The multilingual mobile App for CVD risk stratification, self-management and CVD risk reduction among diabetic patients was successfully developed in Hindi and Marathi language. User acceptability testing results were found to be favorable for the mobile app.

Co-creation and living lab methodologies in the development of digital health interventions for lifestyle modification in patients with chronic diseases [CINAHL].

Co-creation and living lab methodologies in the development of digital health interventions for lifestyle modification in patients with chronic diseases [CINAHL].

Co-creation and living lab methodologies in the development of digital health interventions for lifestyle modification in patients with chronic diseases [Cochrane Library].

Co-creation and living lab methodologies in the development of digital health interventions for lifestyle modification in patients with chronic diseases [Cochrane Library].

Physical Education Teachers' Health Literacy: First Evidence from Lithuania.

Promotion of health literacy is an important goal in the context of promoting whole school health. Physical education teachers are of particular importance in achieving this goal. However, very limited empirical studies have addressed the health literacy of physical education teachers. This research aimed to test the structural validity and reliability of the HLS19-Q12, to measure health literacy among physical education teachers, and to evaluate associations of health literacy with health- and lifestyle-related indicators. We conducted a cross-sectional study of Lithuanian physical education teachers. The participants completed a self-administered online survey that collected information on socio-demographics and health literacy (HLS19-Q12 for general health literacy and the optional package HLS19-DIGI to measure digital health literacy) as well as health behavior. A total of 332 participants completed the survey. The HLS19-Q12 demonstrated acceptable internal consistency (Cronbach's α of 0.73 and McDonald's ω of 0.75) and satisfactory structural validity (CFI = 0.924, TLI = 0.917, RMSEA = 0.081). Participants had an average score of 85.09 (SD = 17.23) when using the HLS19-Q12, with 19.3% and 48.8% displaying excellent and sufficient levels of health literacy, respectively. Regression analyses revealed that a higher level of health literacy was significantly associated with better health evaluation (β = 0.15, p < 0.01), but no significant association was found with other health behavior and lifestyle indicators. Overall, the results suggest that teachers' general health literacy is relatively high. Our findings highlight the importance of conducting more in-depth studies to pursue the understanding of the whole school teachers' health literacy.

Co-creation and living lab methodologies in the development of digital health interventions for lifestyle modification in patients with chronic diseases [Ovid MEDLINE].

Co-creation and living lab methodologies in the development of digital health interventions for lifestyle modification in patients with chronic diseases [Ovid MEDLINE].

"Surveillance Preparedness for COVID-19 and Other Infectious Diseases in New Zealand: Embracing Digital Health and Telemedicine in Vast and Isolated Territories"

"Surveillance Preparedness for COVID-19 and Other Infectious Diseases in New Zealand: Embracing Digital Health and Telemedicine in Vast and Isolated Territories"

Co-creation and living lab methodologies in the development of digital health interventions for lifestyle modification in patients with chronic diseases [Ovid APA PsycInfo].

Co-creation and living lab methodologies in the development of digital health interventions for lifestyle modification in patients with chronic diseases [Ovid APA PsycInfo].

Pandemic Action Plan: Phase 3-Lessons Learned from Implementation. "What Did We Learn?"

The COVID-19 pandemic created critical challenges for hospitals and health care providers. Suddenly clinics were forced to close; elective procedures were delayed; scheduled visits were canceled; emergency rooms were overcrowded; hospital beds, equipment, and personal protective equipment (PPE) were in short supply; and staff were faced with rapidly changing circumstances, care protocols, trauma, and personal risk. To better address challenges of the ongoing COVID-19 pandemic and prepare for future pandemics, the National Telemedicine Technology Assessment Resource Center (TTAC) was asked to develop a Pandemic Response Action Plan that would allow its users to address critical issues with available telemedicine and related technologies. The project was constructed in 3 phases. Phase 1-Develop a Pandemic Response Action Plan and a Pandemic Response Action Plan Policy and Regulatory Summary, which identifies the regulatory challenges as well as policy recommendations. Phase 2-Publish the Action Plan and the Policy and Regulatory Summary. Phase 3-Look at health care providers who used the approaches, tools, and technology in the Pandemic Action Plan and document the results. This document represents Phase 3. This document is Phase 3. In this report we look back at health care providers who used the approaches in the Phase 1 Pandemic Response Action Plan as published in Phase 2. In this document we report on the challenges and results of implementing parts of the Pandemic Action Plan. It records the findings, conclusions, and recommendations resulting from the experience of health care providers and the professional experiences of the team and their organizations in implementing parts or all of the plan. Methods: The same multidisciplinary team that constructed Phase 1 and Phase 2 were engaged to develop this Phase 3 report. The members of the team represent leadership expertise and key stakeholders in health care delivery during a pandemic (administration, infection control, physicians, nurses, public health, contingency planning, disaster response, and information technology) as well as a facilitator. For Phase 3, the group used structured brainstorming to define the findings, issues, and results of their own organizations' digital health response to the pandemic. In addition, eight health care providers (hospitals) identified by the Telemedicine Resource Centers' (TRCs) organizations, who used the Pandemic response Plan (created in Phases 1 and 2), were interviewed. All interviews were conducted by the same facilitator with leaders (CEO, and leaders of the telemedicine programs) in each of the eight programs, using a standard questionnaire created by the team. Current literature references are included in this report to illustrate when findings are known to have broader applicability. Conclusions: The impact of the COVID-19 Pandemic was severe and identified multiple critical challenges and weaknesses. Applying the approaches, tools, and technology outlined in the Pandemic Response Action Plan proved to be effective in addressing critical provider challenges. However, implementing these tools during a crisis was difficult unless the organization had experience with the tools and necessary workflows in advance. Implementing these tools as part of standard workflows and everyday operations increased the capabilities and resilience of these organizations in the provision of care during this and for future pandemics.

Capturing Home Care Information Management and Communication Processes Among Caregivers of Older Adults: Qualitative Study to Inform Technology Design.

The demand for complex home care is increasing with the growing aging population and the ongoing COVID-19 pandemic. Family and hired caregivers play a critical role in providing care for individuals with complex home care needs. However, there are significant gaps in research informing the design of complex home care technologies that consider the experiences of family and hired caregivers collectively. The objective of this study was to explore the health documentation and communication experiences of family and hired caregivers to inform the design and adoption of new technologies for complex home care. The research involved semistructured interviews with 15 caregivers, including family and hired caregivers, each of whom was caring for an older adult with complex medical needs in their home in Ontario, Canada. Due to COVID-19-related protection measures, the interviews were conducted via Teams (Microsoft Corp). The interview guide was informed by the cognitive work analysis framework, and the interview was conducted using storytelling principles of narrative medicine to enhance knowledge. Inductive thematic analysis was used to code the data and develop themes. Three main themes were developed. The first theme described how participants were continually updating the caregiver team, which captured how health information, including their communication motivations and intentions, was shared among family and hired caregiver participants. The subthemes included binder-based health documentation, digital health documentation, and communication practices beyond the binder. The second theme described how participants were learning to improve care and decision-making, which captured how they acted on information from various sources to provide care. The subthemes included developing expertise as a family caregiver and tailoring expertise as a hired caregiver. The third theme described how participants experienced conflicts within caregiver teams, which captured the different struggles arising from, and the causes of, breakdowns in communication and coordination between family and hired caregiver participants. The subthemes included 2-way communication and trusting the caregiver team. This study highlights the health information communication and coordination challenges and experiences that family and hired caregivers face in complex home care settings for older adults. Given the challenges of this work domain, there is an opportunity for appropriate digital technology design to improve complex home care. When designing complex home care technologies, it will be critical to include the overlapping and disparate perspectives of family and hired caregivers collectively providing home care for older adults with complex needs to support all caregivers in their vital roles.

Impacts of Racial and Gender Identities on Individuals' Intentions to Seek a Counselor.

To understand the theoretical impact of racial and gender identities on counselor selection, an online experiment was conducted with 527 participants in which both the race and gender of a perspective counselor's online profile were manipulated. Results showed that participants had a higher intention to seek counseling when the counselor was from the same racial and/or gender group. These preferences existed above and beyond other identity-based evaluative metrics, such as those tied to group stereotypes (e.g., warmth and competence). The results advocate for the development and evaluation of culturally tailored digital health interventions and underscore the importance of further formative research in this area to enhance the accessibility and effectiveness of healthcare resources for all.

Development of cross-linked glucose oxidase integrated Cu-nanoflower electrode for reusable and stable glucose sensing

The demand for glucose-sensing devices has increased along with the increasing diabetic population. Here, we aimed to construct a system with a glucose oxidase (GOx)-integrated Cu-nanoflower (Cu-NF) as the underlying electrode. This novel system was successfully developed by creating a cross-linked GOx within a Cu-NF matrix, forming a c-GOx@Cu-NF-coated film on a carbon screen-printed electrode (CSPE). A comparison of the stabilities of the cross-linking methods demonstrated enhanced durability, with an activity level of >88 % maintained after approximately 35 days of storage in room temperature buffer. Regarding the ability of the c-GOx@Cu-NF modified CSPE to detect glucose via electrochemical methods, the redox potential gap (ΔE) and peak current increased in the presence of GOx. In comparison to that of glucose, the sensitivity of c-GOx@Cu-NF was approximately 8 times greater than that of GOx@Cu-NF, with a detection limit of 0.649 μM and a linear range of 5–500 μM. It sustained an average relative activity of 80 % over 20 days. After 10 cycles of repeated use, the activity remained above 75 %. In terms of evaluating the electrode's specificity for glucose, the detection rate for individual similar substances was approximately 1 %. The introduction of a crosslinking strategy to Cu-NF, leading to enhanced mechanical stability and conductivity, improved the detection capability. Furthermore, this approach led to increased long-term storage stability and reusability, allowing for specific glucose detection. To our knowledge, this report represents the first demonstration of a c-GOx@Cu-NF system for integrating electrochemical biosensing devices into digital healthcare pathways, offering enhanced sensing accuracy and mechanical stability.

On the path to UHC, digital healthcare transformation with Karnataka’s online referral framework

BackgroundKarnataka, a trailblazer in Universal Health Coverage (UHC) initiatives, has implemented various features under the Ayushman Bharat-PMJAY-Arogya Karnataka scheme to improve the access to health. This study provides a thorough exploration of Karnataka’s innovative Online Referral System (ORS) within the framework of achieving UHC.MethodsThe study analyses the performance of the ORS using cross-sectional data from June 2022 to November 2023, providing insights into the distribution of referrals, strategic purchasing from private healthcare providers, and the top medical procedures referred. The article delves into the unique features of Karnataka’s Online Referral System, implemented in 2019, which has streamlined the referral process and enhanced communication among healthcare providers.ResultsThe findings underscore the positive impact of Karnataka’s ORS on healthcare efficiency, patient satisfaction, easy access to care and strategic purchasing from private healthcare providers. ORS demonstrates improved efficiency in referrals, mitigating the challenges associated with traditional manual process and is an important aspect in improving healthcare services. The system also provides insights on the specialities requiring more capacity building, the volume, completeness, and processing of referrals through the ORS.ConclusionKarnataka’s innovative ORS, presents a transformative solution for improving healthcare access, coordination, and outcomes, reinforcing Karnataka’s commitment to continuous innovation in healthcare delivery and progress towards Universal Health care. The system also offers valuable insights into specialties that require increased access, identifies gaps in the healthcare system, and outlines areas that need strengthening. The article concludes by advocating for the replication of Karnataka’s ORS model across India and suggests potential avenues for further research and improvement.