Digital Health Research Articles

The Paradox of Digital Health: Why Middle-Aged Adults Outperform Young Adults in Health Management Utilization via Technology

Background/Objectives: Globally, life expectancy has been increasing with South Korea focusing on improving health to enhance quality of life. The COVID-19 pandemic further emphasized the need for digital transformation in healthcare, accelerating digital health adoption. This study explores the digital divide between ‘Digital Natives (20–39 Y)’ and ‘Digital Immigrants (40–69 Y)’, focusing on digital device usage and confidence. Methods: This study utilized national survey data from the Digital Health Literacy Survey Results and Policy Implications, focusing on differences in digital device use and confidence between young adults (20–39 Y) and middle-aged adults (40–69 Y). The participants comprised 1000 adults aged 20 to 69 in the Republic of Korea. Respondents were queried about their use of digital health tools, such as wearable devices and mobile apps. Confidence in using digital systems and managing health via digital tools was assessed using a five-point Likert scale. Results: The findings indicated that while young adults have lower rates of using digital devices for healthcare, they exhibit higher confidence in using such devices. In contrast, middle-aged adults, despite having lower confidence, report higher usage of digital devices for healthcare purposes. Conclusions: This study explored differences in digital confidence and healthcare usage between age groups and aimed to propose effective health management strategies based on digital accessibility.

Novel Multicomponent Digital Care Assistant and Support Program for People After Stroke or Transient Ischaemic Attack: A Pilot Feasibility Study

Evidence is increasing for digital health programs targeting the secondary prevention of stroke. We aimed to determine the feasibility of the novel Care Assistant and support Program for people after Stroke (CAPS) or transient ischaemic attack (TIA) by combining person-centred goal setting and risk-factor monitoring through a web-based clinician portal, SMS messages, a mobile application (app), and a wearable device. We conducted a 12-week mixed-methods, open-label feasibility study. Participants (6 months–3 years after stroke or TIA, access to the internet via a smartphone/tablet) were recruited via the Australian Stroke Clinical Registry. Participants set one or two secondary prevention goals with a researcher and provided access and training in technology use. Feasibility outcomes included recruitment, retention, usability, acceptability, and satisfaction. Secondary outcomes included goal attainment, health outcomes, and program costs. Following 600 invitations, 58 responded, 34/36 (94%) eligible participants commenced the program (one withdrawal; 97% retention), and 10 were interviewed. Participants (27% female, 33% TIA) generally rated the usability of the mobile application as ‘Good’ to ‘Excellent’ (System Usability Scale). Most (94%) agreed the program helped with engagement in health self-monitoring. Overall, 52 goals were set, predominantly regarding exercise (21/52), which were the most frequently achieved (9/21). At 12 weeks, participants reported significant improvements (p < 0.05) in self-efficacy (Cohen’s d = 0.40), cardiovascular health (d = 0.71), and the mental health domain of the PROMIS GH (d = 0.63). CAPS was acceptable, with good retention and engagement of participants. Evaluation of this program in a randomised controlled trial is warranted.

Recommender systems use in weight management mHealth interventions: A scoping review.

The use of recommender systems in mobile health apps for weight control has grown, but user app uptake and engagement remain limited. The objective of our scoping review was to explore the influence of recommender systems on mHealth app user engagement, identify the theoretical frameworks that have been applied on digital health interventions designed for weight management, and examine the key aspects that support tailoring user engagement through recommender systems. Based on existing literature, we identified 13 articles on recommender systems for weight management. Themes emerged, including theoretical underpinnings, authors' domain knowledge, user motivation, and design. Most studies used constructs from the social cognitive theory. We found inconsistencies between authors' domain knowledge and the intervention's content, with few professionals from the health and psychology fields. Only 46% of articles measured user engagement, whereas gamification and tailored messages were common app features. Despite some positive weight change results, more attention is needed toward implementing behavior theory and other strategies to promote app user engagement. Future studies should more accurately measure user motivation and identify the best features and behavioral constructs to increase app user interaction. Larger studies with a more diverse population are needed to generalize findings and evaluate weight loss maintenance and physical activity habits among users of recommender system.

Digital Health Record System Using Fingerprint Authentication

This paper discusses the development and implementation of a Digital Health Record System (DHRS) that will use fingerprint biometric authentication to provide secured access to health records. Here, the objective remains the same as was mentioned earlier, to enable doctors to access information about patients in an expeditious manner, especially in the event of emergencies such as accidents. The research leads to the conclusion that the system does value the importance of improvement of health and patient care.

First Nations Peoples' perspectives on telehealth physiotherapy: a qualitative study focused on the therapeutic relationship.

Relationships are the core of Indigenous Peoples' spiritual and cultural identities, and therapeutic relationships are an integral part of the physical rehabilitation process, directly influencing health outcomes. However, participating in therapeutic relationships can be difficult for First Nations Peoples, particularly in the virtual landscape. There is limited understanding of First Nations Peoples' perspectives on this issue, and this understanding is crucial to developing culturally safe and effective telehealth physiotherapy programs. Therefore, the purpose of this study is to explore the perspectives of First Nations Peoples from British Columbia, Canada, on telehealth physiotherapy, with an emphasis on the virtual therapeutic relationship. A narrative qualitative study that utilized one-on-one, semistructured interviews was conducted with 19 First Nations adults from remote and rural First Nations communities in north-central British Columbia, Canada. Interviews were recorded, transcribed verbatim, and analyzed using an inductive approach to reflexive thematic analysis. Three themes emerged from data analysis. 'Therapist's attitude and rapport' captures participants' perceptions of what matters the most in how physiotherapists relate to First Nations Peoples and carry out their work. 'Remote nature of virtual care' encompasses the main challenges of virtual care visits, particularly how these were perceived to impact establishing and maintaining solid therapeutic relationships. 'Fostering culturally appropriate and safe telehealth physiotherapy' focuses on what is needed to advance telehealth physiotherapy in a manner that respects and reflects First Nations cultures, equipping all involved parties to provide comprehensive and sensitive services. Our findings advocate a hybrid model that combines in-person and telehealth visits to address communication barriers and the absence of physical interaction. Bridging the digital health literacy gap through training and collaboration with local support staff is crucial (as it is to bridge the possible cultural literary gap of therapists), and the incorporation of cultural elements holds promise for enhancing the engagement and effectiveness of telehealth services in these communities. The pursuit of equitable health care for First Nations communities demands not only increased access but also a thoughtful, culturally safe, trauma-informed, and holistic approach. This approach must be tailored to the unique needs of First Nations Peoples, emphasizing the integration of cultural elements and community support. A hybrid model combining in-person and telehealth visits is recommended to address logistical challenges and enhance the therapeutic relationship, ensuring that care is both effective and respectful of cultural values and practices.

Natural Language Processing for Electronic Health Record Optimization in Android Applications

This paper aims to demonstrate the development of an Android application designed to improve healthcare data management using Natural Language Processing (NLP) technologies. It develops an Android application that enables healthcare professionals to access patient records anytime, enhancing decision-making. The system uses Optical Character Recognition (OCR) to extract patient data from documents, simplifying data entry for diagnoses and treatments. It also incorporates Quick Response (QR) code generation for accurate data retrieval. By leveraging NLP, the mobile application will enhance efficiency, accessibility, and accuracy in healthcare, particularly benefiting developing countries where digital health records are uncommon..

Acceptance of Digital Health Care Technology and the Role of Nursing Education.

As digital health care technology develops, the use of technology in the nursing field has become an essential part of nursing education. However, few studies have linked nurses' awareness of digital health care with nursing education. This study examines the direct effects and mediating effects of factors in technology acceptance on nurses' intention to accept digital health care technology. To empirically investigate these relationships, a survey was conducted among nurses in South Korea. This study emphasizes the importance of a multifaceted approach that considers personal, organizational, and innovation-related factors in understanding nurses' intentions toward acceptance of digital health care technologies. The findings confirm that performance expectancy and facilitating conditions play crucial roles in nurses' acceptance of digital health care technologies. The mediating effects of performance expectancy and facilitating conditions on intentions to accept technologies suggest that these factors can also play vital indirect roles. [J Contin Educ Nurs. 202x;5x(x):xx-xx.].

Abstract 4140111: Impact of Digital Health Tools on Patients Undergoing Cardiac Rehabilitation

Digital health apps are novel tools that have the potential to enhance patient care. However, their benefits in the context of cardiac rehabilitation (CR) are not well studied. This study aims to examine an app’s effectiveness in enhancing exercise performance. The app (KardioPAC) connects to both Bluetooth and cellular-enabled BP devices, which allows providers to monitor and communicate with patients remotely. We aim to assess the app’s impact on functional capacity (metabolic equivalents /METs) compared to standard of care (SOC) CR. This study took place at UC San Diego. Participants were recruited from CR, and randomized in a 1:1 ratio to the two study arms (KardioPAC+CR vs SOC CR). The intervention group was requested to take BP at home and upload via KardioPAC. They additionally received a BP reminder daily and got an intra-app call from the care team at least every 1-2 weeks and when needed. All patients, including SOC arm, were asked to complete a pre- and post-CR visit. In each visit, several measurements (including blood pressure, METs, and quality of life questionnaires) were recorded. The study was approved by the UCSD IRB. All statistical analyses were performed on Python 3.11.8. From Jan 2023 to Mar 2024, 43 patients were enrolled. Table 1 shows their demographics. The mean METs changes are 3.68 vs 2.97 (Intervention vs Control, p=0.052). The mean METs percent changes are 104.39% vs 81.22% (Intervention vs Control, p=0.042), as plotted in Figure 1. Our study found that digital tools significantly enhance CR patients’ performance, even with a small sample size. Furthermore, we found positive signals of digital tools in reducing patients’ blood pressure and improving their quality of life. Patients’ behavior could be changed by incorporating digital tools into daily practice. Our study warrants large-scale studies to investigate the underlying mechanisms and verify the broader benefits of digital tools, including physical, mental, and social improvements.

Effectiveness of a digital health and financial incentive intervention to promote physical activity in patients with type 2 diabetes: study protocol for a randomised controlled trial with a nested qualitative study-ACTIVATE trial.

The prevention of type 2 diabetes (T2DM) is recognised as a health care priority in the UK. In people living with T2DM, lifestyle changes (e.g. increasing physical activity) have been shown to slow disease progression and protect from the development of associated comorbidities. The use of digital health technologies provides a strategy to increase physical activity in patients with chronic disease. Furthermore, behaviour economics suggests that financial incentives may be a useful strategy for increasing the maintenance and effectiveness of behaviour change intervention, including physical activity intervention using digital health technologies. The Milton Keynes Activity Rewards Programme (MKARP) is a 24-month intervention which combines the use of a mobile health app, smartwatch (Fitbit or Apple watch) and financial incentives to encourage people living with T2DM to increase physical activity to improve health. Therefore, this randomised controlled trial aims to examine the long-term acceptability, health effects and cost-effectiveness of the MKARP on HbA1c in patients living with T2DM versus a waitlist usual care comparator. A two-arm, single-centre, randomised controlled trial aiming to recruit 1018 participants with follow-up at 12 and 24months. The primary outcome is the change in HbA1c at 12months. Secondary outcomes included changes in markers of metabolic, cardiovascular, anthropometric, and psychological health along with cost-effectiveness. Recruitment will be via annual diabetes review in general practices, retinal screening services and social media. Participants aged 18 or over, with a diagnosis of type 2 diabetes and a valid HbA1c measurement in the last 2months are invited to take part in the trial. Participants will be individually randomised (1:1 ratio) to receive either the Milton Keynes Activity Rewards Programme or usual care. The intervention will last for 24months with assessment for outcomes at baseline, 12 and 24months. This study will provide new evidence of the long-term effectiveness of an activity rewards scheme focused on increasing physical activity conducted within routine care in patients living with type 2 diabetes in Milton Keynes, UK. It will also investigate the cost-effectiveness of the intervention. ISRCTN 14925701. Registered on 30 October 2023.

Digital Mental Health Innovations in the Face of Climate Change: Navigating a Sustainable Future.

Climate change poses substantial challenges to mental health, with increased frequency of extreme weather events and environmental degradation exacerbating stress, anxiety, trauma, and existential concerns. Digital innovations, particularly artificial intelligence and digital phenotyping, offer promising avenues to mitigate climate-related mental health burdens. The integration of digital tools into climate-related mental health care necessitates careful consideration of issues of access to and adoption of solutions. Future research should evaluate the effectiveness and scalability of digital interventions to address the mental health impacts of climate change through collaborative efforts involving clinicians, environmental health specialists, bioethicists, policy makers, and technology developers.

Integrating digital behavioural therapy for insomnia into primary care: A feasibility mixed-methods study.

Digital cognitive behavioural therapy for insomnia has been developed to increase capacity and scalability for patients with insomnia, but implementation in primary care remains limited. The aim of the trial was to evaluate the implementation of digital insomnia therapy into primary care practice for patients with insomnia. We conducted a single-arm feasibility trial of digital behavioural therapy for insomnia (SleepFix) providing sleep restriction therapy with insomnia patients in primary care. Healthcare professionals (comprising General Practitioners, community pharmacists and nurses) were enrolled into the trial and, when deemed clinically appropriate, prescribed SleepFix to patients with insomnia. The primary outcome was uptake assessed by the number of downloads of SleepFix. Interviews with primary care healthcare professionals explored their attitudes towards implementing/using insomnia digital therapeutics in clinical practice, and patients about their experiences with SleepFix. Insomnia symptoms, mood and sleep quality were measured before and after the trial. This trial was prospectively registered (ACTRN12620000055909). Thirty healthcare professionals and 105 patients were enrolled into the trial. Fourteen healthcare professionals administered at least one insomnia digital therapeutic prescription between November 2021 and March 2022. Fifty patients downloaded and used SleepFix (47.6% uptake). In post-trial interviews, healthcare professionals felt they could incorporate digital sleep health into clinical practice and patients found SleepFix acceptable. There were significant improvements in insomnia symptoms, mood and sleep quality at week 6 (all p < 0.05). This trial shows a real-world implementation of a digital insomnia therapy into primary care that could provide a framework for prescribing digital sleep interventions.

Identifying and prioritizing inefficiency causes in Iran's health system.

Enhancing efficiency is crucial in addressing the escalating scarcity of healthcare resources. It plays a pivotal role in achieving Universal Health Coverage (UHC), with the ultimate goal of ensuring health equity for all. A fundamental strategy to bolster efficiency involves pinpointing the underlying causes of inefficiency within the healthcare system through empirical research. This study aimed to determine and prioritize the causes of inefficiency in Iran's health system. This mixed-method study comprised three phases. The initial phase involved identifying the causes of inefficiency through a comprehensive literature review of relevant studies published between January 1, 2010, to January 1, 2021. The causes were then aligned and prioritized using criteria derived from the literature and expert opinion. Finally, the identified causes were ranked based on their significance using Multiple-Criteria Decision Analysis (MCDA). From an initial pool of 307 causes of inefficiency, they were reduced to 121 causes in the first round of screening which were categorized into 13 thematic topics. The second screening process further narrowed the list to 48 causes. Among these, the leading causes of inefficiency included the inadequate supply and unequal distribution of hospital beds, the overuse of health services, and the mismanagement of the health workforce. In contrast, the use of traditional treatment methods was determined to be the least significant factor contributing to inefficiency. This study identified key inefficiencies in Iran's health system, such as resource misallocation, overuse of services, and workforce mismanagement. Addressing these issues is essential for optimizing resource utilization, enhancing service delivery, and achieving UHC. The findings suggest that policymakers should prioritize reforms in hospital bed distribution, implement strategies to reduce unnecessary health service use, and strengthen human resource management. Additionally, targeted policies that focus on decentralizing healthcare decision-making and enhancing primary care could significantly improve system-wide efficiency. Future research should evaluate the effectiveness of these interventions and explore the role of digital health solutions in mitigating identified inefficiencies.

Abstract 4124531: Digital Health Intervention to Enhance Optimization of Heart Failure Care: From Reciprocal Innovation using Human-Centered Design to Pilot Study

Introduction: Guideline-directed medical therapy (GDMT) for Heart Failure with reduced ejection fraction (HFrEF) reduces adverse events by 70%, but is underutilized. The Human Centered Design (HCD) methodology can be useful to build a strategy to optimize GDMT centered on patients’ demands and perspectives. We aimed to reciprocally innovate a telephone-based digital health intervention (DHI) from a Brazilian trial to an app co-developed for a US trial and iterate it again to the Brazilian context using HCD. We will evaluate the app’s usability and utility to facilitate HF GDMT optimization, considering barriers of the Brazilian public health system users, such as low literacy and socioeconomic status. Methods: Mixed methods study. Steps were carried out according to HCD method: (1) empathizing and identifying challenges, (2) suggesting solutions, (3) prototype development, (4) ranking features for feasibility and utility (5) engineering work and (6) prototype testing. In stages 1-3, semi-structured interviews were held with 10 HF patients and 2 health professionals. Steps 4 and 5 were done by the research team. In stage 6, we conducted a pilot study with 10 HFrEF patients, with at least one GDMT drug with an optimization gap. The primary outcome was the app’s usability assessed by an engagement score, and the app’s utility at 4 weeks. Secondary outcomes included change in self-care score using the European Self-Care Behavior Scale. After step 6, new interviews were carried out to capture the user experience and identify new iterations. Interviews were recorded and transcribed for content analysis. Results: The average engagement score was 80% (SD 16) and the app’s utility score was 82% (SD 8). The average self-care score increased by 32% (SD 25) at the end of the pilot. The main challenges were lack of knowledge about HF and self-care. Technical difficulties and lack of trust in the app to handle health data were mentioned. In the pilot, patients reported the app was easy to use and contributed to self-care and understanding of HF. Among the DHI components, teleconsultation was best evaluated, followed by the educational videos. The greatest challenge was connecting the blood pressure cuff and scale via Bluetooth. Conclusion: The app was well accepted and considered useful by patients. User contributions were fundamental to create tools that facilitate engagement and utility. The final product will be evaluated in a randomized, multicenter, clinical trial.

Influence of Blood Sampling Service Process Reengineering on Medical Services Supply: Quasi-Experimental Study.

Tertiary hospitals in China are confronted with significant challenges due to limited spatial capacity and workforce constraints, leading to saturated allocation of medical resources and restricted growth in medical service provision. The incorporation of digital health into medical service process reengineering (MSPR) marks a pivotal transformation and restructuring of conventional health service delivery models. Specifically, the application of MSPR to blood sampling services processes reengineering (BSSPR) holds promise for substantially enhancing the efficiency and quality of medical services through streamlining and optimizing these procedures. However, the comprehensive impact of BSSPR has been infrequently quantified in existing research. This study aims to investigate the influence of BSSPR on the efficiency and quality of medical services and to elucidate the key informative technological support points underpinning BSSPR. Data were collected from both the new and old laboratory information systems from August 1, 2019, to December 31, 2021. A combination of statistical description, chi-square test, and t test was used to compare check-in time and waiting time of outpatients before and after the implementation of BSSPR. An interrupted time-series design was used to analyze the impact of BSSPR on medical service efficiency and quality, enabling the control of confounding variables, including changes in medical human resources and both long- and short-term temporal trends. BSSPR had an impact on the efficiency and quality of medical services. Notably, there was a significant increase in the number of patients receiving blood sampling services, with a daily service volume increase of ~150 individuals (P=.04). The average waiting time for patients decreased substantially from 29 (SD 36) to 11 (SD 11) minutes, indicating a marked improvement in patient experience. During the peak period, the number of patients receiving blood sampling services per working hour statistically increased from 9.56 to 16.77 (P<.001). The interrupted time-series model results demonstrated a reduction in patients' waiting time by an average of 26.1 (SD 3.8; 95% CI -33.64 to -18.57) minutes. Although there was an initial decline in the number of outpatients admitted following BSSPR implementation, an upward trend was observed over time (β=1.13, 95% CI 0.91-1.36). BSSPR implementation for outpatients not only reduced waiting time and improved patients' experience but also augmented the hospital's capacity to provide medical services. This study's findings offer valuable insights into the potential advantages of BSSPR and underscore the significance of harnessing digital technologies to optimize medical service processes. This research serves as a foundational basis and provides scientific support for the promotion and application of BSSPR in other health care contexts. By continuing to explore and refine the integration of digital technologies in health care, we can further enhance patient outcomes and elevate the overall quality of medical services.

The effects of a digital health intervention on patient activation in chronic kidney disease.

My Kidneys & Me (MK&M), a digital health intervention delivering specialist health and lifestyle education for people with CKD, was developed and its effects tested (SMILE-K trial, ISRCTN18314195, 18/12/2020). 420 adult patients with CKD stages 3-4 were recruited and randomised 2:1 to intervention (MK&M) (n = 280) or control (n = 140) groups. Outcomes, including Patient Activation Measure (PAM-13), were collected at baseline and 20 weeks. Complete case (CC) and per-protocol (PP) analyses were conducted. 210 (75%) participants used MK&M more than once. PAM-13 increased at 20 weeks compared to control (CC: +3.1 (95%CI: -0.2 to 6.4), P = 0.065; PP: +3.6 (95%CI: 0.2 to 7.0), P = 0.041). In those with low activation at baseline, significant between-group differences were observed (CC: +6.6 (95%CI: 1.3 to 11.9), P = 0.016; PP: +9.2 (95%CI: 4.0 to 14.6), P < 0.001) favouring MK&M group. MK&M improved patient activation in those who used the resource compared to standard care, although the overall effect was non-significant. The greatest benefits were seen in those with low activation.

Sustainable entrepreneurship education: Impacts of the circular economy, health literacy, and well‐being

AbstractEducation systems that integrate sustainable entrepreneurship education, digitization, and the circular economy (CE) have an effect on well‐being and provide a holistic approach to the promotion of sustainable development. Higher education institutions have a valuable dual role in disseminating the CE as a new sustainability paradigm through both the teaching of students and the preparation of future teachers toward the incorporation of sustainability into other educational levels. This study focused on new health literacy (health competence) findings, with the aim to analyze the health literacy, well‐being, and socioeconomic status of university students in the era of new normality post‐pandemic (COVID‐19). The analysis was based on the health literacy questionnaire of Van der Vaart, WHO‐5, and the MacArthur Scale of socioeconomic status. The results showed that health literacy among students in Romania tended to improve during the pandemic based on their experience with digital media. This effect was particularly evident in the assessment of health information and digital health competence.

Development of a cerebellar ataxia diagnosis model using conditional GAN-based synthetic data generation for visuomotor adaptation task.

This study proposes a synthetic data generation model to create a classification framework for cerebellar ataxia patients using trajectory data from the visuomotor adaptation task. The classification objectives include patients with cerebellar ataxia, age-matched normal individuals, and young healthy subjects. Synthetic data for the three classes is generated based on class conditions and random noise by leveraging a combination of conditional adversarial generative neural networks and reconstruction networks. This synthetic data, alongside real data, is utilized as training data for the patient classification model to enhance classification accuracy. The fidelity of the synthetic data is assessed visually to measure the validity and diversity of the generated data qualitatively while quantitatively evaluating distribution similarity to real data. Furthermore, the clinical efficacy of the patient classification model employing synthetic data is demonstrated by showcasing improved classification accuracy through a comparative analysis between results obtained using solely real data and those obtained when both real and synthetic data are utilized. This methodological approach holds promise in addressing data insufficiency in the digital healthcare domain, employing deep learning methodologies, and developing early disease diagnosis tools.

Older Adults' Perspectives and Experiences With Digital Health in Singapore: Qualitative Study.

Technology use among older adults is increasingly common. Even though there is potential in leveraging technology to help them manage their health, only a small fraction of them use it for health-related purposes. This study seeks to understand the perspectives of and experiences with digital health (DH) among older adults in Singapore. A total of 16 participants (age range 60-80 years; n=11, 69% female) were interviewed for approximately an hour (range 27-64 minutes) about their health, DH use, and DH experiences. The interviews were recorded, transcribed verbatim, and thematically analyzed. Five main themes emerged from the interview: support in developing DH literacy, credibility, cost and benefit considerations, intrinsic drive to be healthy, and telehealth. Older adults need support in familiarizing themselves with DH. When considering DH options, older adults often relied on credible sources and preferred DH to be free. Monetary incentives were brought up as motivators. The intrinsic drive to live longer and healthily was expressed to be a huge encouragement to use DH to help obtain health-related knowledge and achieve healthy living goals. The idea of telehealth was also appealing among older adults but was seen to be more suited for individuals who have issues accessing a physical clinic. Our findings offer insights into the various aspects that matter to older adults in the adoption of DH, which in turn can help reshape their health-seeking behavior and lifestyle. As such, policy makers and DH implementors are encouraged to take these into consideration and align their strategies accordingly.

Telehealth Research Strategies in a Post COVID-19 Era: A Roadmap for the Coming Decade.

An Agency for Healthcare Research and Quality-funded Think Tank, held at Michigan State University, brought together a wide range of subject matter experts in telemedicine, telehealth, digital health, digital access, and health care. The authors of this article represented a group focused on the research needs, constructs, and strategies in the post-COVID era. While telemedicine and telehealth grew exponentially during the pandemic, the challenges that have been with us for decades, while ameliorated to some extent, remain. To showcase the State of Michigan as a model, the authors reviewed challenges and opportunities related to telehealth and telemedicine usage and categorized them into seven areas of highest priority. Based on a review of the literature and consultation in the fields of telehealth, telemedicine, and digital access, we identified seven key categories where research would be most effective going forward. These categories include research into the impact of telehealth on clinical services, telehealth's use in administrative activities, education and training for health care providers and patients, telehealth policy implications at state and federal levels, the impact of future technology and innovation on telehealth services, patient characteristics and their experiences, and the ethical aspects of telehealth in the future. We have formulated this overview of our findings to act as a roadmap for future telehealth research. We recommend that ongoing studies should explore each of the seven categories identified above. The search for solutions to overcome the challenges within these topics must not be constrained to research that has been conducted recently; many of these challenges have faced telehealth researchers for decades, and numerous solutions have been proposed over the years. Some of these proposals should be explored once again in light of technological and societal advances. The findings from these studies should be shared in ways and through venues that can make them accessible outside the spheres of academic research, but also by practitioners, policymakers, and patients. Third, research into telehealth in all its incarnations must be prioritized, and leadership is needed to ensure these areas of study are continued to be spotlighted after the noise of the COVID-19 pandemic grows quiet.

Marketing agility during deep uncertainty using a sensemaking perspective: the performance influence of digitization and government intervention in retail healthcare

PurposeCommunity pharmacies are critical healthcare providers facing unprecedented trading conditions during deep uncertainty. As such, this study aims to inform scholars and practitioners about the efficiency of marketing agility in enhancing firm performance while considering the mediating roles of government interventions and digitization.Design/methodology/approachA conceptual framework is constructed and validated. Six hypotheses are tested using partial least squares structural equation modeling (PLS-SEM), with 254 responses attained via a questionnaire.FindingsMarketing agility facilitated firm performance and digitization. However, findings elucidate the impact of government involvement and underscore the necessity for re-evaluating conventional metrics for firm performance amid deep uncertainty.Originality/valueThe efficacy of marketing agility has been acknowledged amidst deep uncertainty, yet more research is needed within the retail healthcare sector. This research addresses this gap.