Digital health and primary care: Past, pandemic and prospects

Development of the face-to-face component and recruitment strategy of a primary care digital social intervention for patients with asthma: Qualitative focus groups and interviews with stakeholders

BACKGROUND

5.4 million people in the UK have asthma, with one third experiencing suboptimal control, leading to co-morbidities and increased healthcare use. A quarter of people with long-term conditions informally access peer support through online health communities (OHCs). However, integrating online peer support into primary care services to facilitate self-management is a new concept.

OBJECTIVES

To develop together with stakeholders the content, delivery, and recruitment strategy of a digital social intervention to promote use of online peer support amongst asthma patients in primary care.

METHODS

Data was collected by qualitative, audio-recorded, one-to-one interviews with clinicians, and focus groups with patients with asthma from East London general practices. The topic guide was informed by patient and public involvement work. Data collected was iterative (i.e. new ideas were added to subsequent interviews and focus groups). Verbatim transcripts were uploaded to NVivo12 and thematically analysed.

RESULTS

Twenty patients from several ethnicities participated across five focus groups, and three general practitioners and three practice nurses were interviewed. The study's outputs included: the intervention's face-to-face content; content of clinician training; patient-facing leaflets/material; and a survey to recruit eligible patients. An intervention consisting of a structured consultation with a primary care clinician followed by OHC engagement, was developed based on three generated themes: 'introducing OHCs', describing how clinicians should introduce OHCs; 'OHC engagement', describing factors influencing OHC engagement; and 'clinician training'.

CONCLUSION

Findings will assist clinicians in consultations about supporting self-management of patients through OHCs. Future research should evaluate feasibility, effectiveness, and cost-effectiveness of such support.

Strengthening primary health care in Europe with digital solutions

This article provides an in-depth analysis of digital transformation in European primary healthcare (PHC). It assesses the impact of digital technology on healthcare delivery and management, highlighting variations in digital maturity across Europe. It emphasizes the significance of digital tools, especially during the COVID-19 pandemic, in enhancing accessibility and efficiency in healthcare. It discusses the integration of telehealth, remote monitoring, and e-health solutions, showcasing their role in patient empowerment and proactive care. Examples are included from various countries, such as Greece's ePrescription system, Lithuania's adoption of remote consultations, Spain's use of risk stratification solutions, and the Netherlands' advanced use of telemonitoring solutions, to illustrate the diverse implementation of digital solutions in PHC. The article offers insights into the challenges and opportunities of embedding digital technologies into a multidisciplinary healthcare framework, pointing towards future directions for PHC in Europe.

Perception, Usability, and Satisfaction with Telemedicine in the United Arab Emirates

Background: Telemedicine has become a global tool for enhancing health care accessibility. However, its widespread adoption is still limited by technological illiteracy, lack of appropriate devices, slow internet services, and privacy concerns. In the Middle East and North Africa, including the United Arab Emirates (UAE), there is a dearth of telemedicine research. This study aimed to understand the perceptions and satisfaction levels of the UAE population regarding telemedicine. Methods: Between June and September 2023, a cross-sectional study was undertaken, using an online questionnaire distributed among UAE citizens and residents aged 18 years and above. The survey aimed to gauge the perceptions, usability, and satisfaction levels of telemedicine users, alongside identifying barriers hindering its acceptance. Data analysis was performed using Python 3, using Matplotlib v3.3.4 and Pandas v1.2. Results: The data analysis encompassed 1,013 participants, among whom 66.9% (678/1,013) were familiar with telemedicine. From this group, 29.8% (202/678) had previously utilized it. Of these users, 92.3% (186/202) found it to be useful or highly useful, whereas 83.1% (168/202) expressed overall satisfaction with their telemedicine experience. Among those who had not used telemedicine (47%, 476/1,013), the predominant concerns were a preference for in-person health care consultations for better care (77%, 367/476) and uncertainty about the quality of care offered through telemedicine (62%, 296/476). Conclusions: Despite high awareness of telemedicine in the UAE, its actual usage remains limited, highlighting the necessity for increased promotional efforts. Nevertheless, positive feedback suggests considerable potential for broad adoption. Future studies should address participants' concerns to enhance telemedicine utilization in the region.

Valuing Outpatients' Perspective on Primary Health Care Services in Greece: A Cross-Sectional Survey on Satisfaction and Personal-Centered Care

INTRODUCTION

The aims of the study were to identify and analyze the determinants associated with outpatient satisfaction in Greek primary care. This is because there is a general consensus that primary care is the linchpin of effective person-centered care delivery.

METHODS

A cross-sectional survey was conducted with 1012 patients' exit interviews; sociodemographic variables were included in the questionnaire to obtain data on the satisfaction of primary care users with 20 public primary healthcare centers in Athens between June 2019 and April 2021. Statistical analysis was applied to 55 items and eight dimensions of patient satisfaction, namely, arrival and admission, waiting before the appointment, cleanliness of toilets, medical examination and behavior of physician, behavior of nursing staff, laboratories, departure, and contribution of the PHCs. Descriptive analyses and multiple linear regression were used to analyze the factors influencing patient satisfaction through coefficients (β) with 95% confidence intervals and associated tests of statistical significance.

RESULTS

Τwo-thirds (74.21%) of this survey's participants ranged from 45 to 74 years of age. More than half of the participants were women (62.15%). The most common reasons for visits were pathological (26.48%), followed by cardiological conditions (9.78%), orthopedics (9.49%), gynecologic conditions (8.70%), and ophthalmologic problems (7.31%). In the center of satisfaction with primary care was the medical care and the behavior of the physician (β = 0.427; p < 0.01), followed by the time during appointment (β = 0.390; p < 0.01). Dimensions like "accessibility and availability, 2.19/5"; "waiting times, 2.89/5"; "infrastructure of facilities (2.04/5) and cleanliness of them, (2/5)"; "laboratories, 2.99/5" and "bureaucracy in the departure, 2.29/5" were crucial for the trust and satisfaction of patients. Overall satisfaction was rated at a moderate level (2.62 ± 0.18) while person-centered care was rated as weak (2.49 ± 0.28).

CONCLUSIONS

Greece is recommended to increase the sensitivity of the use of the primary health care system by patients as a first contact, continuous, comprehensive, and effective patient- and family-focused care.

Digitally mediated relationships: How social representation in technology influences the therapeutic relationship in primary care

Relationships, built on trust, knowledge, regard, and loyalty, have been demonstrated to be fundamental to health care delivery. Strong relationships between patients and providers have been linked to more compassionate care delivery, and better patient experience and outcomes, and may be particularly important in primary care. The rapid adoption of digital technologies since the onset of COVID-19 has led health care systems to seriously consider a "digital-first" primary care delivery model. Questions remain regarding what impact this transformation will have on the therapeutic relationship. Using a rapid ethnographic approach this study explores how patient and provider understandings of therapeutic relationships and digital health technologies may influence relationship-building or maintenance between patients with complex care needs and their care providers. Three team-based primary care sites in Toronto, Ontario, Canada were included in the study. Across the three sites 9 patients with chronic health conditions, 1 caregiver, and 10 healthcare providers (including family physicians, family medicine residents, social workers, and nurse practitioners) participated. Interviews were conducted with all participants and 8 observations of virtual clinical encounters (phone and video visits) were conducted. Using social representation theory as a lens, analysis revealed that participants' constructions of therapeutic relationships and digital technologies were informed by their identities, experiences, and expectations. For participants to see technologies as enabling to the therapeutic relationship, there needed to be alignment between how participants viewed the role of technology in care and in their lives, and how they recognized (or constructed) a good therapeutic relationship. This exploratory work suggests the need to think about how both patients' and providers' views of technology may determine whether digital technologies can be leveraged to meet patient needs while maintaining, or building, strong therapeutic relationships.

Global health for rare diseases through primary care

Rare diseases affect over 300 million people worldwide and are gaining recognition as a global health priority. Their inclusion in the UN Sustainable Development Goals, the UN Resolution on Addressing the Challenges of Persons Living with a Rare Disease, and the anticipated WHO Global Network for Rare Diseases and WHO Resolution on Rare Diseases, which is yet to be announced, emphasise their significance. People with rare diseases often face unmet health needs, including access to screening, diagnosis, therapy, and comprehensive health care. These challenges highlight the need for awareness and targeted interventions, including comprehensive education, especially in primary care. The majority of rare disease research, clinical services, and health systems are addressed with specialist care. WHO Member States have committed to focusing on primary health care in both universal health coverage and health-related Sustainable Development Goals. Recognising this opportunity, the International Rare Diseases Research Consortium (IRDiRC) assembled a global, multistakeholder task force to identify key barriers and opportunities for empowering primary health-care providers in addressing rare disease challenges.

Management of Rheumatoid Arthritis in Primary Care: A Scoping Review

Rheumatoid arthritis (RA) can lead to severe joint impairment and chronic disability. Primary care (PC), provided by general practitioners (GPs), is the first level of contact for the population with the healthcare system. The aim of this scoping review was to analyze the approach to RA in the PC setting. PubMed, Scopus, and Web of Science were searched using the MESH terms "rheumatoid arthritis" and "primary care" from 2013 to 2023. The search strategy followed the PRISMA-ScR guidelines. The 61 articles selected were analyzed qualitatively in a table and discussed in two sections, namely criticisms and strategies for the management of RA in PC. The main critical issues in the management of RA in PC are the following: difficulty and delay in diagnosis, in accessing rheumatological care, and in using DMARDs by GPs; ineffective communication between GPs and specialists; poor patient education; lack of cardiovascular prevention; and increase in healthcare costs. To overcome these criticisms, several management strategies have been identified, namely early diagnosis of RA, quick access to rheumatology care, effective communication between GPs and specialists, active patient involvement, screening for risk factors and comorbidities, clinical audit, interdisciplinary patient management, digital health, and cost analysis. PC appears to be the ideal healthcare setting to reduce the morbidity and mortality of chronic disease, including RA, if a widespread change in GPs' approach to the disease and patients is mandatory.

Navigating the doctor-patient-AI relationship - a mixed-methods study of physician attitudes toward artificial intelligence in primary care

BACKGROUND

Artificial intelligence (AI) is a rapidly advancing field that is beginning to enter the practice of medicine. Primary care is a cornerstone of medicine and deals with challenges such as physician shortage and burnout which impact patient care. AI and its application via digital health is increasingly presented as a possible solution. However, there is a scarcity of research focusing on primary care physician (PCP) attitudes toward AI. This study examines PCP views on AI in primary care. We explore its potential impact on topics pertinent to primary care such as the doctor-patient relationship and clinical workflow. By doing so, we aim to inform primary care stakeholders to encourage successful, equitable uptake of future AI tools. Our study is the first to our knowledge to explore PCP attitudes using specific primary care AI use cases rather than discussing AI in medicine in general terms.

METHODS

From June to August 2023, we conducted a survey among 47 primary care physicians affiliated with a large academic health system in Southern California. The survey quantified attitudes toward AI in general as well as concerning two specific AI use cases. Additionally, we conducted interviews with 15 survey respondents.

RESULTS

Our findings suggest that PCPs have largely positive views of AI. However, attitudes often hinged on the context of adoption. While some concerns reported by PCPs regarding AI in primary care focused on technology (accuracy, safety, bias), many focused on people-and-process factors (workflow, equity, reimbursement, doctor-patient relationship).

CONCLUSION

Our study offers nuanced insights into PCP attitudes towards AI in primary care and highlights the need for primary care stakeholder alignment on key issues raised by PCPs. AI initiatives that fail to address both the technological and people-and-process concerns raised by PCPs may struggle to make an impact.

Understanding rural women's preferences for telephone call engagement with primary health care providers in Nigeria: a discrete choice experiment

BACKGROUND

The COVID-19 pandemic has accelerated the use of mobile phones to provide primary health care services and maintain continuity of care. This study aims to understand rural women's preferences for telephone call engagement with primary health care providers in Nigeria.

METHODS

A discrete choice experiment was conducted alongside an action research project that empowered primary health care workers to develop and implement a telephone call intervention to assess and enhance experiences with facility childbirth care. Between January and March 2022, 30 providers from 10 primary health care facilities implemented the choice experiment among rural women who had institutional childbirth to elicit service user preferences for telephone call engagement. The women were asked to express their preferred scenario for telephone call engagement with their primary health care providers. Generalised linear mixed models were used to estimate women's preferences.

RESULTS

Data for 460 women were available for the discrete choice experiment. The study showed that rural women have preferences for telephone call engagement with primary health care providers. Specifically, women preferred engaging with female to male callers (β=1.665 (95% CI 1.41, 1.93), SE=0.13, p<0.001), preferred call duration under 15 min (β=1.287 (95% CI 0.61, 1.96), SE=0.34, p<0.001) and preferred being notified before the telephone engagement (warm calling) (β=1.828 (95% CI 1.10, 2.56), SE=0.37, p<0.001). Phone credit incentive was also a statistically significant predictor of women's preferences for engagement. However, neither the availability of scheduling options, the period of the day or the day of the week predicts women's preferences.

CONCLUSIONS

The study highlights the importance of understanding rural women's preferences for telephone call engagement with healthcare providers in low-income and middle-income countries. These findings can inform the development of mobile phone-based interventions and improve acceptability and broader adoption.

The impact of eHealth on relationships and trust in primary care: a review of reviews

BACKGROUND

Given the increasing integration of digital health technologies in team-based primary care, this review aimed at understanding the impact of eHealth on patient-provider and provider-provider relationships.

METHODS

A review of reviews was conducted on three databases to identify papers published in English from 2008 onwards. The impact of different types of eHealth on relationships and trust and the factors influencing the impact were thematically analyzed.

RESULTS

A total of 79 reviews were included. Patient-provider relationships were discussed more frequently as compared to provider-provider relationships. Communication systems like telemedicine were the most discussed type of technology. eHealth was found to have both positive and negative impacts on relationships and/or trust. This impact was influenced by a range of patient-related, provider-related, technology-related, and organizational factors, such as patient sociodemographics, provider communication skills, technology design, and organizational technology implementation, respectively.

CONCLUSIONS

Recommendations are provided for effective and equitable technology selection, application, and training to optimize the impact of eHealth on relationships and trust. The review findings can inform providers' and policymakers' decision-making around the use of eHealth in primary care delivery to facilitate relationship-building.

Amplifying Older Aboriginal and Torres Strait Islander Women's Perspectives to Promote Digital Health Equity: Co-Designed Qualitative Study

BACKGROUND

Digital health is becoming ubiquitous, and we must ensure equity in access. Indigenous people across most high-income countries typically have not benefited as much as other citizens from usual health care systems and technologies. Despite Aboriginal and Torres Strait Islander people's clear interest in, and enthusiastic use of, new technologies, little research has examined the needs or interests of older Aboriginal and Torres Strait Islander women.

OBJECTIVE

This study prioritizes the perspectives of older Aboriginal and Torres Strait Islander women, tapping into their expertise associated with Indigenous ways of knowing, being, and doing, as well as their unique position within their families and communities, to design a model for using digital technologies to improve health for themselves and their families as well as their communities.

METHODS

Older Aboriginal and Torres Strait Islander women from 4 partner organizations were recruited for this study. This co-designed qualitative research included citizen scientists in shaping the protocol as well as collecting, analyzing, and interpreting data. We used yarning, an Indigenous research method validated for use in health research with Indigenous people and seen as respectful and culturally safe, as a primary research tool. The use of Indigenous methodologies and our iterative process enabled us to deeply explore and incorporate perspectives from all participants and ensure that the perspectives of Indigenous citizen scientists with lived experience were privileged. The data-checking methods also used a yarning methodology, which ensured that the findings and translational model derived from the findings were validated by the participants.

RESULTS

Participants comprised 24 Aboriginal and Torres Strait Islander women aged ≥41 years and including 3 generations that did not grow up with the internet: seniors, baby boomers, and Generation X. The key findings in this research were that older women use various digital technologies to improve health and well-being for themselves and their families as well as their communities. Older Aboriginal women want a culturally sensitive cyberspace that caters specifically to their needs and includes relevant content and functionality that are accessible and efficient. Our translational model highlights the conditions necessary for anyone to use digital health technologies, summarizes the essential elements needed to promote equity in digital health, and illuminates the unmet needs and requirements for older Aboriginal and Torres Strait Islander women to fully benefit from digital health technologies.

CONCLUSIONS

Health is a fundamental right. As we move toward greater reliance on digital health solutions, we must recognize and address the concerns of the smaller populations of people who differ in their needs. We must urgently address the financial, connectivity, and other limiting factors highlighted by older Aboriginal and Torres Strait Islander women in this study that limit equitable access to digital health tools.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1177/20552076221084469.

Clinical decision-making and the nursing process in digital health systems: An integrated systematic review

AIMS

To identify how the nursing process (assessment, planning, intervention and outcome evaluation) has been incorporated into digital health systems (electronic medical records, electronic care plans and clinical decision support systems) to gain an understanding of known benefits and challenges posed to nurses' decision-making processes.

BACKGROUND

Nursing terminologies, including the International Classification for Nursing Practice (ICNP), and Nursing Minimum Data Set's (NMDS), have been developed to improve standardised language integration of components of nursing care into digital systems. However, there is limited evidence regarding whether the complete nursing process is effectively being incorporated into digital health systems.

METHODS

An integrative systematic review following PRISMA guidelines. A search strategy was applied to extract articles from included databases: CINAHL, MEDLINE, SCOPUS and Web of Science Core Collection. Articles were limited to English language and published January 2007-March 2022 and assessed using a pre-determined eligibility criteria. Quality assessment and a narrative synthesis were conducted.

RESULTS

A total of 3321 articles were identified, and 27 studies included. There were (n = 10) qualitative, (n = 4) quantitative non-randomised controlled trials, (n = 3) quantitative descriptive studies and (n = 10) mixed methods. Nurse assessment and planning components were the most comprehensive phases incorporated into digital health systems, and interventions and outcome evaluation were scarcely reported.

CONCLUSIONS

Inadequate capture of nursing work is a problem unresolved by digital health systems. This omission may be hindering nurse clinical decision-making for patient care and limiting the visibility of the nursing role in health care interventions and the associated impact on patient outcomes.

RELEVANCE TO CLINICAL PRACTICE

Further research is needed on how digital systems can support nurses to apply the full nursing process and to further evaluate patient outcomes. Digital systems can support health-service level evaluation through capturing missed nursing care and the consequences on patients utilising nurse-sensitive-outcomes; however, this is not yet being realised.

[From face-to-face consultation to teleconsultation: Primary health care professionals' experiences in the Basque Country during the pandemic]

OBJECTIVE

To explore the perceptions of Primary Health Care (PHC) professionals on changes in consultation modalities and their impact on PHC fundamentals during the pandemic.

DESIGN

Qualitative exploratory research conducted between October and November, 2021.

LOCATION

Four urban and one rural primary health care centers with different socioeconomic profiles in the threeterritories of the Basque Country.

PARTICIPANTS

Forty-six professionals from different categories of the PHC team and health centre directors.

METHOD

Purposive sampling. Five focus groups and fourin-depth interviews. Thematic analysis with the support of the Atlas.ti programme. Triangulation of results among the research team.

RESULTS

Experiences with the development of teleconsultation appear to be directly conditioned by the pandemic context in its different phases and by the PC situation. The professionals identified communication barriers, as well as potentialities of its use that require adequate training and evaluation. Risks of inequity were perceived in the use of teleconsultations that could be affecting the quality of care. Longitudinality was assessed as a facilitating factor and problems of coordination and communication through teleconsultation between care levels were identified.

CONCLUSIONS

The replacement of face-to-face consultation by teleconsultation had an impact on fundamental aspects of PHC such as quality, accessibility, equity, coordination and longitudinality. Teleconsultation in PHC should always be evaluated considering the specific circumstances and contexts of its implementation.

Digital Health Interventions to Improve Access to and Quality of Primary Health Care Services: A Scoping Review

Global digital technology advances offer the potential to enhance primary health care (PHC) quality, reach, and efficiency, driving toward universal health coverage (UHC). This scoping review explored how digital health solutions aid PHC delivery and UHC realization by examining the context, mechanisms, and outcomes of eHealth interventions. A comprehensive literature search was conducted, capturing qualitative and quantitative studies, process evaluations, and systematic or scoping reviews. Our analysis of 65 articles revealed that a well-functioning digital ecosystem-featuring adaptable, interoperable digital tools, robust Information and Communications Technology foundations, and enabling environments-is pivotal for eHealth interventions' success. Facilities with better digital literacy, motivated staff, and adequate funding demonstrated a higher adoption of eHealth technologies, leading to improved, coordinated service delivery and higher patient satisfaction. However, eHealth's potential is often restricted by existing socio-cultural norms, geographical inequities in technology access, and digital literacy disparities. Our review underscores the importance of considering the digital ecosystem's readiness, user behavior, broader health system requirements, and PHC capacity for adopting digital solutions while assessing digital health interventions' impact.

Ethical and Information Governance Considerations for Promoting Digital Social Interventions in Primary Care

Promoting online peer support beyond the informal sector to statutory health services requires ethical considerations and evidence-based knowledge about its impact on patients, health care professionals, and the wider health care system. Evidence on the effectiveness of digital interventions in primary care is sparse, and definitive guidance is lacking on the ethical concerns arising from the use of social media as a means for health-related interventions and research. Existing literature examining ethical issues with digital interventions in health care mainly focuses on apps, electronic health records, wearables, and telephone or video consultations, without necessarily covering digital social interventions, and does not always account for primary care settings specifically. Here we address the ethical and information governance aspects of undertaking research on the promotion of online peer support to patients by primary care clinicians, related to medical and public health ethics.

Exploring the Challenges for Universal Health Coverage: A Call to Africa by AfroPHC

The primary health care (PHC) system in Africa faces many challenges AND opportunities. To date, human resources for health in PHC are grossly insufficient in number, often inefficiently and inequitably distributed, lacking adequate training for delivering fully responsive and comprehensive frontline care and are treated inequitably within the health system. There has been a lack of solidarity among key role players in healthcare to create adequate PHC funding in Africa. Resources do not appropriately or adequately reach the frontline PHC service platform due to outdated service delivery and payment models. Patients experience PHC as numbers in a queue, with poor comprehensiveness, continuity, and coordination. Health workers are also treated like numbers in a bureaucracy that fragments and undermines training and service for integrated care around patient and population needs. However, opportunities abound with global PHC milestones, increasing political will for investment in PHC, and proven mechanisms for achieving a stronger workforce such as community health workers, clinical task-sharing, and the integration of family doctors into PHC. The African Forum for PHC (AfroPHC) has a vision for PHC and UHC that is team-based with skills mix appropriate to Africa, including family doctors, family nurse practitioners, clinical officers, community health workers and others that are empowered to take care of an empaneled population in high-quality people centred PHC. AfroPHC is making a call on stakeholders to develop and implement a regional forward-looking plan to 1) build robust PHC systems, 2) train, recruit and maintain a sufficient frontline PHC workforce, and 3) support PHC with appropriate financing. This can all come together easily in a nationally defined PHC contract using risk-adjusted blended capitation payment to decentralised PHC teams empanelled to enrolled populations, coordinated by district health services and easily administered at national or sub-national level for empowered public and private providers.

The Impact of Virtual Consultations on the Quality of Primary Care: Systematic Review

BACKGROUND

The adoption of virtual consultations, catalyzed by the COVID-19 pandemic, has transformed the delivery of primary care services. Owing to their rapid global proliferation, there is a need to comprehensively evaluate the impact of virtual consultations on all aspects of care quality.

OBJECTIVE

This study aims to evaluate the impact of virtual consultations on the quality of primary care.

METHODS

A total of 6 databases were searched. Studies that evaluated the impact of virtual consultations, for any disease, were included. Title and abstract screening and full-text screening were performed by 2 pairs of investigators. Risk of bias was assessed using the Mixed Methods Appraisal Tool. A narrative synthesis of the results was performed.

RESULTS

In total, 30 studies (5,469,333 participants) were included in this review. Our findings suggest that virtual consultations are equally effective to or more effective than face-to-face care for the management of certain conditions, including mental illness, excessive smoking, and alcohol consumption. Overall, 4 studies indicated positive impacts on some aspects of patient-centeredness; however, a negative impact was noted on patients' perceived autonomy support (ie, the degree to which people perceive those in positions of authority to be autonomy supportive). Virtual consultations may reduce waiting times, lower patient costs, and reduce rates of follow-up in secondary and tertiary care settings. Evidence for the impact on clinical safety is extremely limited. Evidence regarding equity was considerably mixed. Overall, it appears that virtual care is more likely to be used by younger, female patients, with disparities among other subgroups depending on contextual factors.

CONCLUSIONS

Our systematic review demonstrated that virtual consultations may be as effective as face-to-face care and have a potentially positive impact on the efficiency and timeliness of care; however, there is a considerable lack of evidence on the impacts on patient safety, equity, and patient-centeredness, highlighting areas where future research efforts should be devoted. Capitalizing on real-world data, as well as clinical trials, is crucial to ensure that the use of virtual consultations is tailored according to patient needs and is inclusive of the intended end users. Data collection methods that are bespoke to the primary care context and account for patient characteristics are necessary to generate a stronger evidence base to inform future virtual care policies.

The Telemedicine Experience in Primary Care Practices in the United States: Insights From Practice Leaders

PURPOSE

The need to rapidly implement telemedicine in primary care during the coronavirus disease 2019 (COVID-19) pandemic was addressed differently by various practices. Using qualitative data from semistructured interviews with primary care practice leaders, we aimed to report commonly shared experiences and unique perspectives regarding telemedicine implementation and evolution/maturation since March 2020.

METHODS

We administered a semistructured, 25-minute, virtual interview with 25 primary care practice leaders from 2 health systems in 2 states (New York and Florida) included in PCORnet, the Patient-Centered Outcomes Research Institute clinical research network. Questions were guided by 3 frameworks (health information technology evaluation, access to care, and health information technology life cycle) and involved practice leaders' perspectives on the process of telemedicine implementation in their practice, with a specific focus on the process of maturation and facilitators/barriers. Two researchers conducted inductive coding of qualitative data open-ended questions to identify common themes. Transcripts were electronically generated by virtual platform software.

RESULTS

Twenty-five interviews were administered for practice leaders representing 87 primary care practices in 2 states. We identified the following 4 major themes: (1) the ease of telemedicine adoption depended on both patients' and clinicians' prior experience using virtual health platforms, (2) regulation of telemedicine varied across states and differentially affected the rollout processes, (3) visit triage rules were unclear, and (4) there were positive and negative effects of telemedicine on clinicians and patients.

CONCLUSIONS

Practice leaders identified several challenges to telemedicine implementation and highlighted 2 areas, including telemedicine visit triage guidelines and telemedicine-specific staffing and scheduling protocols, for improvement.

Attitudes of Physicians and Individuals Toward Digital Mental Health Tools: Protocol for a Web-Based Survey Research Project

BACKGROUND

Digital transformation is impacting health care delivery. Great market dynamism is bringing opportunities and concerns alike into public discussion. Digital health apps are a vibrant segment where regulation is emerging, with Germany paving the way with its DiGA (Digitale Gesundheitsanwendungen, in German, meaning digital health apps) program. Simultaneously, mental ill-health constitutes a global health concern, and prevalence is expected to worsen due to the COVID-19 pandemic and its containment measures. Portugal and its National Health System may be a useful testbed for digital health interventions.

OBJECTIVE

The paper outlines the protocol for a research project on the attitudes of physicians and potential users toward digital mental health apps to improve access to care, patient outcomes, and reduce the burden of disease of mental ill-health.

METHODS

Web surveys will be conducted to acquire data from the main stakeholders (physicians and the academic community). Data analysis will replicate the statistical analysis performed in the studies from Dahlhausen and Borghouts to derive conclusions regarding the relative acceptance and likelihood of successful implementation of digital mental health apps in Portugal.

RESULTS

The findings of the proposed studies will elicit important information on how physicians and individuals perceive digital mental health app interventions to improve access to care, patient outcomes, and reduce the burden of disease of mental ill-health. Data collection ran between September 26 and November 6, 2022, for the first study and September 20 and October 20, 2022, for the second study. We obtained 160 responses to the first study's survey and 539 answers to the second study's survey. Data analysis is concluded, and both studies' results are expected to be published in 2023.

CONCLUSIONS

The results of the studies projected in this research protocol will have implications for researchers and academia, industry, and policy makers concerning the adoption and implementation of digital health mental apps and associated interventions.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/41040.

Telemedicine perceptions and experiences of socially vulnerable households during the early stages of the COVID-19 pandemic: a qualitative study

BACKGROUND

Early in the COVID-19 pandemic, efforts to decrease risk of viral transmission triggered an abrupt shift from ambulatory health care delivery toward telemedicine. In this study, we explore the perceptions and experiences of telemedicine among socially vulnerable households and suggest strategies to increase equity in telemedicine access.

METHODS

Conducted between August 2020 and February 2021, this exploratory qualitative study involved in-depth interviews with members of socially vulnerable households needing health care. Participants were recruited from a food bank and primary care practice in Montréal. Digitally recorded telephone interviews focused on experiences and perceptions related to telemedicine access and use. In our thematic analysis, we employed the framework method to facilitate comparison, and the identification of patterns and themes.

RESULTS

Twenty-nine participants were interviewed, 48% of whom presented as women. Almost all sought health care in the early stages of the pandemic, 69% of which was received via telemedicine. Four themes emerged from the analysis: delays in seeking health care owing to competing priorities and perceptions that COVID-19-related health care took precedence; challenges with appointment booking and logistics given complex online systems, administrative inefficiencies, long wait times and missed calls; issues around quality and continuity of care; and conditional acceptance of telemedicine for certain health problems, and in exceptional circumstances.

INTERPRETATION

Early in the pandemic, participants report telemedicine delivery did not accommodate the diverse needs and capacities of socially vulnerable populations. Patient education, logistical support and care delivery by a trusted provider are suggested solutions, in addition to policies supporting digital equity and quality standards to promote telemedicine access and appropriate use.

An introduction to machine learning for classification and prediction

Classification and prediction tasks are common in health research. With the increasing availability of vast health data repositories (e.g. electronic medical record databases) and advances in computing power, traditional statistical approaches are being augmented or replaced with machine learning (ML) approaches to classify and predict health outcomes. ML describes the automated process of identifying ("learning") patterns in data to perform tasks. Developing an ML model includes selecting between many ML models (e.g. decision trees, support vector machines, neural networks); model specifications such as hyperparameter tuning; and evaluation of model performance. This process is conducted repeatedly to find the model and corresponding specifications that optimize some measure of model performance. ML models can make more accurate classifications and predictions than their statistical counterparts and confer greater flexibility when modelling unstructured data or interactions between covariates; however, many ML models require larger sample sizes to achieve good classification or predictive performance and have been criticized as "black box" for their poor transparency and interpretability. ML holds potential in family medicine for risk profiling of patients' disease risk and clinical decision support to present additional information at times of uncertainty or high demand. In the future, ML approaches are positioned to become commonplace in family medicine. As such, it is important to understand the objectives that can be addressed using ML approaches and the associated techniques and limitations. This article provides a brief introduction into the use of ML approaches for classification and prediction tasks in family medicine.

Artificial intelligence technologies and compassion in healthcare: A systematic scoping review

Background

Advances in artificial intelligence (AI) technologies, together with the availability of big data in society, creates uncertainties about how these developments will affect healthcare systems worldwide. Compassion is essential for high-quality healthcare and research shows how prosocial caring behaviors benefit human health and societies. However, the possible association between AI technologies and compassion is under conceptualized and underexplored.

Objectives

The aim of this scoping review is to provide a comprehensive depth and a balanced perspective of the emerging topic of AI technologies and compassion, to inform future research and practice. The review questions were: How is compassion discussed in relation to AI technologies in healthcare? How are AI technologies being used to enhance compassion in healthcare? What are the gaps in current knowledge and unexplored potential? What are the key areas where AI technologies could support compassion in healthcare?

Materials and methods

A systematic scoping review following five steps of Joanna Briggs Institute methodology. Presentation of the scoping review conforms with PRISMA-ScR (Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews). Eligibility criteria were defined according to 3 concept constructs (AI technologies, compassion, healthcare) developed from the literature and informed by medical subject headings (MeSH) and key words for the electronic searches. Sources of evidence were Web of Science and PubMed databases, articles published in English language 2011-2022. Articles were screened by title/abstract using inclusion/exclusion criteria. Data extracted (author, date of publication, type of article, aim/context of healthcare, key relevant findings, country) was charted using data tables. Thematic analysis used an inductive-deductive approach to generate code categories from the review questions and the data. A multidisciplinary team assessed themes for resonance and relevance to research and practice.

Results

Searches identified 3,124 articles. A total of 197 were included after screening. The number of articles has increased over 10 years (2011, n = 1 to 2021, n = 47 and from Jan-Aug 2022 n = 35 articles). Overarching themes related to the review questions were: (1) Developments and debates (7 themes) Concerns about AI ethics, healthcare jobs, and loss of empathy; Human-centered design of AI technologies for healthcare; Optimistic speculation AI technologies will address care gaps; Interrogation of what it means to be human and to care; Recognition of future potential for patient monitoring, virtual proximity, and access to healthcare; Calls for curricula development and healthcare professional education; Implementation of AI applications to enhance health and wellbeing of the healthcare workforce. (2) How AI technologies enhance compassion (10 themes) Empathetic awareness; Empathetic response and relational behavior; Communication skills; Health coaching; Therapeutic interventions; Moral development learning; Clinical knowledge and clinical assessment; Healthcare quality assessment; Therapeutic bond and therapeutic alliance; Providing health information and advice. (3) Gaps in knowledge (4 themes) Educational effectiveness of AI-assisted learning; Patient diversity and AI technologies; Implementation of AI technologies in education and practice settings; Safety and clinical effectiveness of AI technologies. (4) Key areas for development (3 themes) Enriching education, learning and clinical practice; Extending healing spaces; Enhancing healing relationships.

Conclusion

There is an association between AI technologies and compassion in healthcare and interest in this association has grown internationally over the last decade. In a range of healthcare contexts, AI technologies are being used to enhance empathetic awareness; empathetic response and relational behavior; communication skills; health coaching; therapeutic interventions; moral development learning; clinical knowledge and clinical assessment; healthcare quality assessment; therapeutic bond and therapeutic alliance; and to provide health information and advice. The findings inform a reconceptualization of compassion as a human-AI system of intelligent caring comprising six elements: (1) Awareness of suffering (e.g., pain, distress, risk, disadvantage); (2) Understanding the suffering (significance, context, rights, responsibilities etc.); (3) Connecting with the suffering (e.g., verbal, physical, signs and symbols); (4) Making a judgment about the suffering (the need to act); (5) Responding with an intention to alleviate the suffering; (6) Attention to the effect and outcomes of the response. These elements can operate at an individual (human or machine) and collective systems level (healthcare organizations or systems) as a cyclical system to alleviate different types of suffering. New and novel approaches to human-AI intelligent caring could enrich education, learning, and clinical practice; extend healing spaces; and enhance healing relationships.

Implications

In a complex adaptive system such as healthcare, human-AI intelligent caring will need to be implemented, not as an ideology, but through strategic choices, incentives, regulation, professional education, and training, as well as through joined up thinking about human-AI intelligent caring. Research funders can encourage research and development into the topic of AI technologies and compassion as a system of human-AI intelligent caring. Educators, technologists, and health professionals can inform themselves about the system of human-AI intelligent caring.

Healthcare Workers' Perspectives of mHealth Adoption Factors in the Developing World: Scoping Review

BACKGROUND

mHealth applications provide health practitioners with platforms that enable disease management, facilitate drug adherence, facilitate drug adherence, speed up diagnosis, monitor outbreaks, take and transfer medical images, and provide advice. Many developing economies are investing more in mobile telecommunication infrastructure than in road transport and electric power generation. Despite this, mHealth has not seen widespread adoption by healthcare workers in the developing world. This study reports a scoping review of factors that impact the adoption of mHealth by healthcare workers in the developing world, and based on these findings, a framework is developed for enhancing mHealth adoption by healthcare workers in the developing world.

METHODS

A structured literature search was performed using PubMed and Scopus, supplemented by hand searching. The searches were restricted to articles in English during the period January 2009 to December 2019 and relevant to the developing world that addressed: mobile phone use by healthcare workers and identified factors impacting the adoption of mHealth implementations. All authors reviewed selected papers, with final inclusion by consensus. Data abstraction was performed by all authors. The results were used to develop the conceptual framework using inductive iterative content analysis.

RESULTS AND DISCUSSION

Of 919 articles, 181 met the inclusion criteria and, following a review of full papers, 85 reported factors that impact (promote or impede) healthcare worker adoption of mHealth applications. These factors were categorised into 18 themes and, after continued iterative review and discussion were reduced to 7 primary categories (engagement/funding, infrastructure, training/technical support, healthcare workers' mobile-cost/ownership, system utility, motivation/staffing, patients' mobile-cost/ownership), with 17 sub-categories. These were used to design the proposed framework.

CONCLUSIONS

Successful adoption of mHealth by healthcare workers in the developing world will depend on addressing the factors identified in the proposed framework. They must be assessed in each specific setting prior to mHealth implementation. Application of the proposed framework will help shape future policy and practice of mHealth implementation in the developing world and increase adoption by health workers.

Embedding digital sleep health into primary care practice: A triangulation of perspectives from general practitioners, nurses, and pharmacists

Introduction

While digital health interventions (DHIs) can potentially address the unmet needs for sleep health services, little is known about their implementation in practice. The current study aimed to explore primary care health providers' attitudes and beliefs towards DHIs for sleep and implementation into practice.

Methods

A cross-sectional online survey was administered to Australian primary care health professionals: general practitioners (GPs), community nurses, and community pharmacists. Semi-structured interviews were conducted within a sub-sample of participants exploring their experiences with DHIs and perceived barriers/facilitators for embedding DHIs into primary care. Semi-structured interviews were thematically analysed using the framework approach to contextualise survey findings.

Results

Ninety-six surveys were returned (GPs  =  36, nurses = 30, and pharmacists = 30) and 45 interviews conducted (GPs  =  17, nurses = 14, and pharmacists  =  14). From the survey, GPs were more likely to endorse familiarity (p  =  0.009) and use (p < 0.001) of sleep DHIs in clinical practice than pharmacists and nurses. GPs were more interested in utilising the diagnostic features within a sleep DHI (p  =  0.009) compared to other professionals. Thematic analysis of the interviews revealed three major themes, contextualised by profession: (1) Scope for DHIs in Current Practice, (2) Practice Gaps and Training Needs, and (3) Envisioning a Model of Care Using Sleep DHIs. While DHIs can potentially improve care, greater clarity of care pathways and reimbursement structures are needed for integration into practice.

Conclusion

Primary care health professionals highlighted the training, care pathway and financial models required to realise the potential for translating findings from efficacy studies for DHIs into primary care to optimise sleep health.

A systematic scoping review of digital health technologies during COVID-19: a new normal in primary health care delivery

This scoping review compiled information concerning digital health technologies (DHTs) evolution to support primary health care (PHC) during COVID-19 and lessons for the future of PHC. The identified literature was published during the COVID-19 peak years (2019-2021), retrieved from PubMed, Scopus, and Google Scholar, as well as hand searched on the internet. Predefined inclusion criteria were used, thematic analysis was applied, and reporting followed the PRISMA for Scoping Reviews. A total of 46 studies were included in the final synthesis (40 articles, one book, two book chapters, one working paper, and two technical reports). These studies scrutinized various aspects of DHTs, entailing 19 types of DHTs with 20 areas of use that can be compressed into five bigger PHC functions: general PHC service delivery (teleconsultations, e-diagnosis, e-prescription, etc.); behavior promotion and digital health literacy (e.g., combating vaccine hesitancy); surveillance functions; vaccination and drugs; and enhancing system decision-making for proper follow-up of ongoing PHC interventions during COVID-19. DHTs have the potential to solve some of the problems that have plagued us even prior to COVID-19. Therefore, this study uses a forward-looking viewpoint to further stimulate the use of evidence-based DHT, making it more inclusive, educative, and satisfying to people's needs, both under normal conditions and during outbreaks. More research with narrowed research questions is needed, with a particular emphasis on quality assurance in the use of DHTs, technical aspects (standards for digital health tools, infrastructure, and platforms), and financial perspectives (payment for digital health services and adoption incentives).

Supplementary Information

The online version contains supplementary material available at 10.1007/s12553-023-00725-7.

Factors Influencing Adoption and Use of Telemedicine Services in Rural Areas of China: Mixed Methods Study

BACKGROUND

The shortage of medical resources in rural China reflects the health inequity in resource-limited settings, whereas telemedicine could provide opportunities to fill this gap. However, evidence of patient acceptance of telemedicine services from low- and middle-income countries is still lacking.

OBJECTIVE

We aimed to understand the profile of patient end-user telemedicine use and identify factors influencing telemedicine service use in rural China.

METHODS

Our study followed a mixed methods approach, with a quantitative cross-sectional survey followed by in-depth semistructured interviews to describe telemedicine use and its associated factors among rural residents in Guangdong Province, China. In the quantitative analysis, explanatory variables included environmental and context factors, household-level factors, individual sociodemographic factors, access to digital health care, and health needs and demand factors. We conducted univariate and multivariate analyses using Firth logistic regression to examine the correlations of telemedicine uptake. A thematic approach was used, guided by the Social Cognitive Theory for the qualitative analysis.

RESULTS

A total of 2101 households were recruited for the quantitative survey. With a mean age of 61.4 (SD 14.41) years, >70% (1364/2101, 72.94%) of the household respondents were male. Less than 1% (14/2101, 0.67%) of the respondents reported experience of using telemedicine. The quantitative results supported that villagers living with family members who had a fever in the past 2 weeks (adjusted odds ratio 6.96, 95% CI 2.20-21.98; P=.001) or having smartphones or computers (adjusted odds ratio 3.71, 95% CI 0.64-21.32; P=.14) had marginally higher telemedicine uptake, whereas the qualitative results endorse these findings. The results of qualitative interviews (n=27) also supplemented the potential barriers to telemedicine use from the lack of knowledge, trust, demand, low self-efficacy, and sufficient physical and social support.

CONCLUSIONS

This study found extremely low use of telemedicine in rural China and identified potential factors affecting telemedicine uptake. The main barriers to telemedicine adoption among rural residents were found, including lack of knowledge, trust, demand as well as low self-efficacy, and insufficient physical and social support. Our study also suggests strategies to facilitate telemedicine engagement in low-resource settings: improving digital literacy and self-efficacy, building trust, and strengthening telemedicine infrastructure support.

Navigating the Systemic Conditions of a Digital Health Ecosystem in Alberta, Canada: Embedded Case Study

BACKGROUND

Digital health promises numerous value-creating outcomes. These include improved health, reduced costs, and the creation of lucrative markets, which, in turn, provide high-quality employment, productivity growth, and a climate that attracts investment. For this value creation and capture, the activities of a diverse set of stakeholders within a digital health ecosystem require coordination. However, the antecedents of the coordination needed for an effective digital health ecosystem are not well understood.

OBJECTIVE

The purpose of this study was to investigate the systemic conditions of the digital health ecosystem in Alberta, Canada, as critical antecedents to ecosystem coordination from the perspective of the authors as applicants to an innovative digital health funding program embedded within the larger digital health ecosystem of innovators or entrepreneurs, health system leaders, support partners, and funders.

METHODS

We employed a qualitative embedded case study of the systemic conditions within the digital health ecosystem in Alberta, Canada (main case) using semistructured interviews with 36 stakeholders representing innovators or entrepreneurs, health system leaders, support partners, and funders (subcases). The interviews were conducted over a 2-month period between May 26 and July 22, 2021. Data were coded for key themes and synthesized around 5 propositions developed from academic publications and policy reports.

RESULTS

The findings indicated varying levels of support for each proposition, with moderate support for accessing real problems, data, training, and space for evaluations. However, the most fundamental gap appears to be in ecosystem navigation, in particular, the absence of intermediaries (eg, individuals, organizations, and technology) to provide guidance on the available support services and dependencies among the various ecosystem actors and programs.

CONCLUSIONS

Navigating the systemic conditions of the digital health ecosystem is extremely challenging for entrepreneurs, especially those without prior health care experience, and this remains an issue even for those with such experience. Policy interventions aimed at increasing collaboration among ecosystem support providers, along with tools and incentives to ensure coordination, are essential as the ecosystem and those dependent on it grow.

The Role of Telemedicine in the Management of Patients with Chronic Diseases in Primary Care During the COVID-19 Pandemic

Introduction:The COVID-19 pandemic has rapidly spread to many countries and has led various primary healthcare services of chronic diseases to be neglected and only partially be replaced by telemedicine services. This study aims to investigate the role of telemedicine in the management of patients with noncommunicable diseases in primary health care during the COVID-19 pandemic. Method: A narrative review of the literature was carried out through searching the PubMed and Google Scholar databases. Results: From the initial stages of the pandemic, several scientific medical societies issued guidelines which urged citizens and health personnel to adopt digital means in the provision of regular chronic care as much as possible. The significant benefits of the telemedicine sessions partially only filled the gap of the deferred chronic care. On the other hand, many barriers need to be addressed in order to achieve an equitable and high-quality implementation of telemedicine services. Conclusion:The widespread application of telemedicine and self-monitoring was brought about by the COVID-19 pandemic and currently, they have become common ways of managing non-communicable diseases in primary health care. Innovations introduced need to be maintained and integrated into conventional traditional practices, so that health systems are more resilient to future public health emergencies.

Changes in Barriers That Cause Unmet Healthcare Needs in the Life Cycle of Adulthood and Their Policy Implications: A Need-Selection Model Analysis of the Korea Health Panel Survey Data

Using 68,930 observations selected from 16,535 adults in the Korea Health Panel Survey (2014-2018), this study explored healthcare barriers that prevent people from meeting their healthcare needs most severely during adulthood, and the characteristics that are highly associated with the barrier. This study derived two outcome variables: a dichotomous outcome variable on whether an individual has experienced healthcare needs, and a quadchotomous outcome variable on how an individual's healthcare needs ended. An analysis was conducted using a multivariable panel multinomial probit model with sample selection. The results showed that the main cause of unmet healthcare needs was not financial difficulties but non-financial barriers, which were time constraints up to a certain age and the lack of caring and support after that age. People with functional limitations were at a high risk of experiencing unmet healthcare needs due to a lack of caring and support. To reduce unmet healthcare needs in South Korea, the government should focus on lowering non-financial barriers to healthcare, including time constraints and lack of caring and support. It seems urgent to strengthen the foundation of "primary care", which is exceptionally scarce now, and to expand it to "community-based integrated care" and "people-centered care".

Advancing digital health Equity: Directions for behavioral and social science research

The field of digital health is evolving rapidly and encompasses a wide range of complex and changing technologies used to support individual and population health. The COVID-19 pandemic has augmented digital health expansion and significantly changed how digital health technologies are used. To ensure that these technologies do not create or exacerbate existing health disparities, a multi-pronged and comprehensive research approach is needed. In this commentary, we outline five recommendations for behavioral and social science researchers that are critical to promoting digital health equity. These recommendations include: (i) centering equity in research teams and theoretical approaches, (ii) focusing on issues of digital health literacy and engagement, (iii) using methods that elevate perspectives and needs of underserved populations, (iv) ensuring ethical approaches for collecting and using digital health data, and (v) developing strategies for integrating digital health tools within and across systems and settings. Taken together, these recommendations can help advance the science of digital health equity and justice.

Telemedicine Experience for PrEP Care among PrEP-Eligible Women and Their Primary Care Providers during the First Year of the COVID-19 Pandemic in the United States

(1) Background: During the two-year-long siege from the COVID-19 pandemic, a significant proportion of doctor visits transitioned from in-person to virtual. Scare evidence is available to assess the quality of patient-provider communication via the platform of telemedicine, especially for PrEP care within primary care settings. (2) Methods: Participants included 18 primary care providers and 29 PrEP-eligible women. Through content analysis and thematic analysis, facilitators and barriers embedded at different levels of telemedicine were identified and assessed. (3) Results: Women and providers reported pros and cons regarding their telemedicine experiences during the initial wave of COVID-19. Both groups of participants agreed that telemedicine visits were more convenient, efficient, and comfortable than in-person visits. However, without face-to-face interactions, some women felt less empathy, caring, and connected with their providers during virtual visits. Health providers expressed concerns with telemedicine, including patients’ privacy, lack of intimacy between patients and providers, and delayed lab work. (4) Conclusions: Our data indicate multi-level factors may affect telemedicine experience among PrEP-eligible women and health providers. Participants expressed concerns that may further entrench these long-existing health disparities in healthcare. Proactive efforts from policymakers, health professionals, researchers, and stakeholders are urgently required to tackle identified barriers and to pave the way for the new infrastructure that ensures health equity in society.

Virtual Care and the Inverse Care Law: Implications for Policy, Practice, Research, Public and Patients

Virtual care spread rapidly at the outbreak of the COVID-19 pandemic. Restricting in-person contact contributed to reducing the spread of infection and saved lives. However, the benefits of virtual care were not evenly distributed within and across social groups, and existing inequalities became exacerbated for those unable to fully access to, or benefit from virtual services. This "perspective" paper discusses the extent to which challenges in virtual care access and use in the context of COVID-19 follow the Inverse Care Law. The latter stipulates that the availability and quality of health care is inversely proportionate to the level of population health needs. We highlight the inequalities affecting some disadvantaged populations' access to, and use of public and private virtual care, and contrast this with a utopian vision of technology as the "solution to everything". In public and universal health systems, the Inverse Care Law may manifests itself in access issues, capacity, and/or lack of perceived benefit to use digital technologies, as well as in data poverty. For commercial "Direct-To-Consumer" services, all of the above may be encouraged via a consumerist (i.e., profit-oriented) approach, limited and episodic services, or the use of low direct cost platforms. With virtual care rapidly growing, we set out ways forward for policy, practice, and research to ensure virtual care benefits for everyone, which include: (1) pay more attention to "capabilities" supporting access and use of virtual care; (2) consider digital technologies as a basic human right that should be automatically taken into account, not only in health policies, but also in social policies; (3) take more seriously the impact of the digital economy on equity, notably through a greater state involvement in co-constructing "public health value" through innovation; and (4) reconsider the dominant digital innovation research paradigm to better recognize the contexts, factors, and conditions that influence access to and use of virtual care by different groups.

Evaluation of a Digital Self-management Platform for Patients With Chronic Illness in Primary Care: Qualitative Study of Stakeholders' Perspectives

BACKGROUND

Population aging and multimorbidity has led to increasing chronic care needs associated with new challenges in managing growing costs, rising health care professional workloads, and the adoption of rigorous guidelines. These issues could all benefit from greater digitalization and a more patient-centered approach to chronic care, a situation brought to the fore by the COVID-19 pandemic. Little is known about real-life use in primary care.

OBJECTIVE

This study aimed to explore the views, thoughts, usability, and experiences concerning a recently introduced digital self-care platform for chronic conditions in 3 Dutch primary care practices.

METHODS

We conducted an explorative study combining questionnaires and interviews among patients and general practitioners from 3 general practices that used the digital platform. Questionnaires were sent to patients in each practice to seek the views and experiences of both patient nonusers (n=20) and patient users (n=58) of the platform, together with standardized questionnaires about illness perception and quality of life. In addition, patients (n=15) and general practitioners (n=4) who used the platform took part in semistructured interviews. We transcribed interviews verbatim and performed qualitative content analysis using a deductive approach. The results of the questionnaires were analyzed with descriptive analysis.

RESULTS

Among patients who had not actively used the platform but had received an explanation, only 35% (7/20) would recommend its use due to concerns over communication and handling. However, this percentage increased to 76.3% (45/59) among the people who actively used the platform. Interviews with patients and general practitioners who used the platform uncovered several key benefits, including reduced time requirements, reduced workload, improved care quality, and improved accessibility due to the greater patient-centeredness and use of different communication tools. In addition, the self-management tool led to greater patient autonomy and empowerment. Although users considered the platform feasible, usable, and easy to use, some technical issues remained and some patients expressed concerns about the reduction in human contact and feedback.

CONCLUSIONS

The overall experience and usability of the platform was good. Support for the online self-management platform for chronic care increased when patients actively used the tool and could experience or identify important advantages. However, patients still noted several areas for improvement that need to be tackled in future iterations. To ensure benefit in the wider population, we must also evaluate this platform in cohorts with lower digital and health literacy.

Patients' and clinicians' experiences of remote consultation? A narrative synthesis

Aims

To identify, evaluate and summarize evidence of patient and clinician experiences of being involved in video or telephone consultations as a replacement for in‐person consultations.

Design

Narrative synthesis.

Data sources

Medline; EMBASE; EMCARE; CINAHL and BNI. Searching took place from January 2021 to April 2021. Papers included were published between 2013 and 2020.

Review Methods

Papers were appraised by two independent reviewers for methodological quality. Data extraction was conducted according to the standardized tool from Joanna Briggs Institute.

Results

Seven qualitative studies were included, from five countries and from the perspective of patients, relatives, administrators, nurses, physiotherapists and physicians. We developed two main themes: Pragmatic Concerns and Therapeutic Concerns. Each theme contained two categories: Pragmatic Concerns: (a) the convenience of non‐face to face consultations; (b) using technology and equipment in a consultation; Therapeutic Concerns (c) building therapeutic relationships; and (d) embracing benefits and addressing challenges.

Conclusion

This narrative synthesis presents the existing evidence on clinician and patient experience of participating in non‐face to face consultations. Experiences are varied but largely focus on communication and forming relationships, using the technology successfully and the ability for patients to self‐manage with support from clinicians who are not in‐person. More high‐quality studies are required to explore the experiences of patients and clinicians accessing remote consultations as a result of global implementation post‐SARS‐CoV‐2 pandemic to identify any learning and education opportunities.

Impact

Health care staff can provide high‐quality care through video or telephone appointments as well as face to face appointments. This review has, however, identified that the evidence is limited and weak in this area and recommends there is research further to inform practice and influence future care.

Connecting artificial intelligence and primary care challenges: findings from a multi stakeholder collaborative consultation

Despite widespread advancements in and envisioned uses for artificial intelligence (AI), few examples of successfully implemented AI innovations exist in primary care (PC) settings.

Identifying and addressing digital health risks associated with emergency pandemic response: Problem identification, scoping review, and directions toward evidence-based evaluation

BACKGROUND AND OBJECTIVE

The COVID-19 pandemic has accelerated digital health applications in multifaceted disease management dimensions. This study aims (1) to identify risk issues relating to the rapid development and redeployment of COVID-19 related e-health systems, in primary care, and in the health ecosystems interacting with it and (2) to suggest evidence-based evaluation directions under emergency response.

METHOD

After initial brainstorming of digital health risks posed in this pandemic, a scoping review method was adopted to collect evidence across databases of PubMed, CINAHL, and EMBASE. Peer-review publications, reports, news sources, and websites that credibly identified the challenges relating digital health scaled for COVID-19 were scrutinized. Additional supporting materials were obtained through snowball sampling and the authors' global digital health networks. Studies satisfying the selection criteria were charted based on their study design, primary care focus, and coverage of e-health areas of risk.

RESULTS

Fifty-eight studies were mapped for qualitative synthesis. Five identified digital health risk areas associated with the pandemic were governance, system design and coordination, information access, service provision, and user (professional and public) reception. We observed that rapid digital health responses may embed challenges in health system thinking, the long-term development of digital health ecosystems, and interoperability of health IT infrastructure, with concomitant weaknesses in existing evaluation theories.

CONCLUSION

Through identifying digital health risks posed during the pandemic, this paper discussed potential directions for next-generation informatics evaluation development, to better prepare for the post-COVID-19 era, a new future epidemic, or other unforeseen global health emergencies. An updated evidence-based approach to health informatics is essential to gain public confidence in digital health across primary and other health sectors.

Exploring Quality Differences in Telemedicine Between Hospital Outpatient Departments and Community Clinics: A Cross-Sectional Study

Background

Telemedicine is a care delivery modality that has the potential to broaden the reach and flexibility of health care services. In the United Arab Emirates, telemedicine services are mainly delivered through either integrated hospital outpatient department (OPDs) or community clinics. However, it is unknown if patients’ perceptions of, and satisfaction with, telemedicine services differ between these two types of health care systems during the COVID-19 pandemic.

Objective

We aimed to explore the differences in patients’ perceptions of, and satisfaction with, telemedicine between hospital OPDs and community clinics during the COVID-19 pandemic. We also aimed to identify patient- or visit-related characteristics contributing to patient satisfaction with telemedicine.

Methods

In this cross-sectional study that was conducted at Abu Dhabi health care centers, we invited outpatients aged 18 years or over, who completed a telemedicine visit during the COVID-19 pandemic, to participate in our study. Patients’ perceptions of, and satisfaction with, telemedicine regarding the two system types (ie, hospital OPDs and community clinics) were assessed using an online survey that was sent as a link through the SMS system. Regression models were used to describe the association between patient- and visit-related characteristics, as well as the perception of, and satisfaction with, telemedicine services.

Results

A total of 515 patients participated in this survey. Patients’ satisfaction with telemedicine services was equally high among the settings, with no statistically significant difference between the two setting types (hospital OPDs: 253/343, 73.8%; community clinics: 114/172, 66.3%; P=.19). Video consultation was significantly associated with increased patient satisfaction (odds ratio [OR] 2.57, 95% CI 1.04-6.33; P=.04) and patients’ support of the transition to telemedicine use during and after the pandemic (OR 2.88, 95% CI 1.18-7.07; P=.02). Patients who used video consultations were more likely to report that telemedicine improved access to health care services (OR 3.06, 95% CI 1.71-8.03; P=.02), reduced waiting times and travel costs (OR 4.94, 95% CI 1.15-21.19; P=.03), addressed patients’ needs (OR 2.63, 95% CI 1.13-6.11; P=.03), and eased expression of patients’ medical concerns during the COVID-19 pandemic (OR 2.19, 95% CI 0.89-5.38; P=.09). Surprisingly, middle-aged patients were two times more likely to be satisfied with telemedicine services (OR 2.12, 95% CI 1.09-4.14; P=.03), as compared to any other age group in this study.

Conclusions

These findings suggest that patient satisfaction was unaffected by the health system setting in which patients received the teleconsultations, whether they were at hospitals or community clinics. Video consultation was associated with increased patient satisfaction with telemedicine services. Efforts should be focused on strategic planning for enhanced telemedicine services, video consultation in particular, for both emergent circumstances, such as the COVID-19 pandemic, and day-to-day health care delivery.

A “Not So Quiet” Revolution: Systemic Benefits and Challenges of Telehealth in the Context of COVID-19 in Quebec (Canada)

The COVID-19 pandemic has had a major impact on health and social service systems (HSSS) worldwide. It has put tremendous pressure on these systems, threatening access, continuity, and the quality of patient care and services. In Quebec (Canada), the delivery of care and services has radically changed in a short period of time. During the pandemic, telehealth has been widely deployed and used, notwithstanding the decades-long challenges of integrating this service modality into the Quebec HSSS. Adopting a narrative-integrative approach, this article describes and discusses Quebec's experience with the deployment and utilization of telehealth in the context of COVID-19. Firstly, we introduced the achievements and benefits made with the use of telehealth. Secondly, we discussed the challenges and concerns that were revealed or accentuated by the sanitary crisis, such as: (1) training and information; (2) professional and organizational issues; (3) quality of services and patient satisfaction; (4) cost, remuneration, and funding; (5) technology and infrastructure; (6) the emergence of private telehealth platforms in a public HSSS; (7) digital divide and equity; and (8) legal and regulatory issues. Finally, the article presents recommendations to guide future research, policies and actions for a successful integration of telehealth in the Quebec HSSS as well as in jurisdictions and countries facing comparable challenges.