A digital embrace to blunt the curve of COVID19 pandemic

[An Exploratory Study on Non-Contact Nursing Experiences of Clinical Nurses during the COVID-19 Pandemic]

PURPOSE

This study aimed to understand the non-contact nursing experiences of clinical nurses during the COVID-19 pandemic.

METHODS

A qualitative research design applying thematic analysis was used. The participants were purposive sampled from three institutes: a tertiary hospital, a general hospital, and a residential treatment center in Seoul. Data were collected between December 2021 and January 2022 through individual in-depth interviews with 12 clinical nurses. The data were analyzed using Braun and Clarke's method to identify the meaning of the participants' experiences.

RESULTS

During the COVID-19 pandemic, the fields where the participants performed non-contact nursing included intensive care units and isolation wards of hospitals, a residential treatment center, and home cares. Their tasks in non-contact nursing commonly involved remote monitoring using digital devices or equipment, consultation and education. From their experiences performing tasks in these fields, the four theme clusters and nine themes were derived. The four theme clusters are as follows: (1) Confusion of nursing role; (2) Conflict due to insufficient support system; (3) Concern about the quality of nursing; (4) Reflection on the establishment of nursing professionalism.

CONCLUSION

This study highlights the necessity for institutionalizing professional nursing areas, nursing education, and practical support by clarifying the purpose and goals of non-contact nursing and developing nursing knowledge through frameworks.

Visit Experience and Fulfillment of Care Needs in Primary Care Differs for Video Visits Compared to In-person and Chat Visits

BACKGROUND

There is a lack of research comparing patient experience and to what extent patients' care needs are fulfilled in telemedicine compared to in-person care.

OBJECTIVE

To investigate if patient experience and fulfillment of care needs differ between video and chat visits with direct to consumer telemedicine providers compared to in-person visits.

DESIGN

Cross-sectional study.

PARTICIPANTS

Adults visiting a primary care physician in person or via chat or video in Region Stockholm, Sweden, October 2020-May 2021.

MAIN MEASURES

Patient-reported visit experience and fulfillment of care needs.

KEY RESULTS

The sample included 3315 patients who had an in-person (1950), video (844), or chat (521) visit. Response rates were 42% for in-person visitors and 41% for telemedicine visitors. Patients were 18-97 years old, mean age of 51 years, and 66% were female. In-person visitors reported the most positive patient experience ("To a very high degree" or "Yes, completely") for being listened to (64%), being treated with care (64%), and feeling trust and confidence in the health care professional (76%). Chat visitors reported the most positive patient experience for being given enough time (61%) and having care needs fulfilled during the care visit (76%). Video visitors had the largest proportion of respondents choosing "To a very low degree" or "No, not at all" for all visit experience measures. There were statistically significant differences in the distribution of visit experiences between in-person, video, and chat visits for all visit experience measures (P < 0.001).

CONCLUSIONS

Video visits were associated with a more negative visit experience and lower fulfillment of care needs than in-person visits. Chat visits were associated with a similar patient experience and fulfillment of care needs as in-person visits. Chat visits may be a viable alternative to in-person visits for selected patients.

Individual Patient Factors Associated with the Use of Physical or Digital Primary Care in Sweden

Introduction: Little is known about factors that influence patients' choice to use physical or digital primary care. This study aimed to compare self-rated health, internet habits, and what patients deem important when choosing health care between users of physical and digital primary health care. Methods: We recruited 2,716 adults visiting one of six physical or four digital primary health care providers in Stockholm, Sweden, October 2020 to May 2021. Participants answered a questionnaire with questions about sociodemography, self-rated health, internet habits, and what they considered important when seeking care. We used logistic regression and estimated odds ratios (ORs) for choosing digital care. Results: Digital users considered themselves healthier and used the internet more, compared with physical users (p < 0.001). Competence of health care staff was the most important factor when seeking care to both physical and digital users (90% and 78%, respectively). Patients considering it important to avoid leaving home were more likely to seek digital care (OR 29.55, 95% confidence interval [CI] 12.65-69.06), while patients valuing continuity were more likely to seek physical care (OR 0.25, 95% CI 0.19-0.32). These factors were significant also when adjusting for self-rated health and sociodemographic characteristics. Conclusion: What patients considered important when seeking health care was associated with what type of care they sought. Patient preferences should be considered when planning health care to optimize resource allocation.

Artificial Intelligence and Healthcare: A Journey through History, Present Innovations, and Future Possibilities

Artificial intelligence (AI) has emerged as a powerful tool in healthcare significantly impacting practices from diagnostics to treatment delivery and patient management. This article examines the progress of AI in healthcare, starting from the field's inception in the 1960s to present-day innovative applications in areas such as precision medicine, robotic surgery, and drug development. In addition, the impact of the COVID-19 pandemic on the acceleration of the use of AI in technologies such as telemedicine and chatbots to enhance accessibility and improve medical education is also explored. Looking forward, the paper speculates on the promising future of AI in healthcare while critically addressing the ethical and societal considerations that accompany the integration of AI technologies. Furthermore, the potential to mitigate health disparities and the ethical implications surrounding data usage and patient privacy are discussed, emphasizing the need for evolving guidelines to govern AI's application in healthcare.

Evaluating the Quality of Virtual Urgent Care: Barriers, Motivations, and Implementation of Quality Measures

BACKGROUND

Experts estimate virtual urgent care programs could replace approximately 20% of current emergency department visits. In the absence of widespread quality guidance to programs or quality reporting from these programs, little is known about the state of virtual urgent care quality monitoring initiatives.

OBJECTIVE

We sought to characterize ongoing quality monitoring initiatives among virtual urgent care programs.

APPROACH

Semi-structured interviews of virtual health and health system leaders were conducted using a pilot-tested interview guide to assess quality metrics captured related to care effectiveness and equity as well as programs' motivations for and barriers to quality measurement. We classified quality metrics according to the National Quality Forum Telehealth Measurement Framework. We developed a codebook from interview transcripts for qualitative analysis to classify motivations for and barriers to quality measurement.

KEY RESULTS

We contacted 13 individuals, and ultimately interviewed eight (response rate, 61.5%), representing eight unique virtual urgent care programs at primarily academic (6/8) and urban institutions (5/8). Most programs used quality metrics related to clinical and operational effectiveness (7/8). Only one program reported measuring a metric related to equity. Limited resources were most commonly cited by participants (6/8) as a barrier to quality monitoring.

CONCLUSIONS

We identified variation in quality measurement use and content by virtual urgent care programs. With the rapid growth in this approach to care delivery, more work is needed to identify optimal quality metrics. A standardized approach to quality measurement will be key to identifying variation in care and help focus quality improvement by virtual urgent care programs.

Patient characteristics associated with the successful transition to virtual care: Lessons learned from the first million patients

INTRODUCTION

The increased use of telehealth to maintain ambulatory care during the COVID-19 pandemic had potential to exacerbate or diminish disparities in access to care.

OBJECTIVE

The purpose of this study was to describe patient characteristics associated with successful transition from in-person to virtual care, and video vs audio-only participation.

METHODS

This was a retrospective analysis of electronic health record data from all patients with ambulatory visits from 1 October 2019-30 September 2020 in a large integrated health system in the Northeast USA. The outcome of interest was receipt of virtual care, and video vs audio-only participation. We matched home addresses with census-tract level area social vulnerability index (SVI) and Internet access. Among ambulatory care patients, we used logistic regression to identify characteristics associated with virtual participation. Among virtual participants, we identified characteristics associated with video vs audio-only visits.

RESULTS

Among 1,241,313 patients, 528,542 (42.6%) were virtual participants. Relative to in-person only, virtual participants were older, more often English-proficient and with activated patient portal. Characteristics associated with virtual participation included patients with: only behavioural health visits, COVID patients, highest quartile of visit frequency, and multiple visit types. Characteristics associated with video participation (relative to audio-only) included being younger and patients with: only behavioural health visits, highest quartile of visit frequency, non-Hispanic black race, limited English proficiency and inactivated portal account.

DISCUSSION

In our regional healthcare system, the transition to virtual care during COVID was vital for continued access to care, but substantial inequity remained. Without audio-only visits, access to care would have been even more limited for our most vulnerable patients.

Telemedicine in Primary Care: Lessons Learned About Implementing Health Care Innovations During the COVID-19 Pandemic

PURPOSE

During the COVID-19 pandemic, telemedicine emerged as an important tool in primary care. Technology and policy-related challenges, however, revealed barriers to adoption and implementation. This report describes the findings from weekly and monthly surveys of primary care clinicians regarding telemedicine during the first 2 years of the pandemic.

METHODS

From March 2020 to March 2022, we conducted electronic surveys using convenience samples obtained through social networking and crowdsourcing. Unique tokens were used to confidentially track respondents over time. A multidisciplinary team conducted quantitative and qualitative analyses to identify key concepts and trends.

RESULTS

A total of 36 surveys resulted in an average of 937 respondents per survey, representing clinicians from all 50 states and multiple specialties. Initial responses indicated general difficulties in implementing telemedicine due to poor infrastructure and reimbursement mechanisms. Over time, attitudes toward telemedicine improved and respondents considered video and telephone-based care important tools for their practice, though not a replacement for in-person care.

CONCLUSIONS

The implementation of telemedicine during COVID-19 identified barriers and opportunities for technology adoption and highlighted steps that could support primary care clinics' ability to learn, adapt, and implement technology.

Translation, cultural adaptation and pilot testing of a questionnaire measuring the factors affecting the acceptance of telemedicine by Greek cancer patients

The emergency presented through the COVID-19 pandemic exposed the need to adopt remote, technology-driven solutions and make healthcare services more resilient. To do so, we need technological applications (i.e., telemedicine) that are designed and tailored to the end-users (i.e., chronic patients) needs and the type of healthcare service they get (i.e., cancer care). The requirements above are especially relevant to Greece, being a country with numerous sparsely populated regions (e.g., islands, regions at the borders) and a deteriorating access to healthcare for all citizens. Trying to address such diverse problems and needs, there have been multiple, different telemedicine and telecare projects in Greece in the past years. To support the future design and implementation of such endeavours, in this study we translated a questionnaire measuring the acceptance of telemedicine by patients and adapted it to the Greek context. We continued by running a small-scale pilot with 73 Greek women with breast cancer to assess the adapted instrument for its reliability and construct validity. The created questionnaire had good overall and internal reliability scores for most sub-scales. Factor analysis did not identify the same number of latent dimensions as the original theoretical model. Reverse wording items needing to be recoded were identified, and items that could be omitted in future versions of the questionnaire. Increasing the sample size for the purposes of a longitudinal study, the construct, convergent, and discriminant validity are elements to be further examined in future studies. It is envisaged that the creation of this questionnaire will support the adoption of telemedicine by Greek healthcare services into more routine areas of patient care provision.

Incorporating TechQuity in Virtual Care Within the Veterans Health Administration: Identifying Future Research and Operations Priorities

BACKGROUND

The Covid-19 pandemic dramatically changed healthcare delivery, driving rapid expansion of synchronous (i.e., real-time) audio-only and video telehealth, otherwise known as virtual care. Yet evidence describes significant inequities in virtual care utilization, with certain populations more dependent on audio-only virtual care than video-based care. Research is needed to inform virtual care policies and processes to counteract current inequities in access and health outcomes.

OBJECTIVE

Given the importance of incorporating equity into virtual care within the Veterans Health Administration (VHA), we convened a Think Tank to identify priorities for future research and virtual care operations focused on achieving equitable implementation of virtual care within the VHA.

METHODS

We used participatory activities to engage clinicians, researchers, and operational partners from across the VHA to develop priorities for equitable implementation of virtual care. We refined priorities through group discussion and force-ranked prioritization and outlined next steps for selected priorities.

KEY RESULTS

Think Tank participants included 43 individuals from the VHA who represented diverse geographical regions, offices, and backgrounds. Attendees self-identified their associations primarily as operations (n = 9), research (n = 28), or both (n = 6). We identified an initial list of 63 potential priorities for future research and virtual care operations. Following discussion, we narrowed the list to four priority areas: (1) measure inequities in virtual care, (2) address emerging inequities in virtual care, (3) deploy virtual care equitably to accommodate differently abled veterans, and (4) measure and address potential adverse consequences of expanded virtual care. We discuss related information, data, key partners, and outline potential next steps.

CONCLUSIONS

This Think Tank of research and operational partners from across the VHA identified promising opportunities to incorporate equity into the design and implementation of virtual care. Although much work remains, the priorities identified represent important steps toward achieving this vital goal.

Hijacking the self-replicating machine of bacteriophage for PCR-based cascade signal amplification in detecting SARS-CoV-2 viral marker protein in serum

In this work, the nucleic acid detection of SARS-Cov-2 is extended to protein markers of the virus, utilizing bacteriophage. Specifically, the phage display technique enables the main protease of SARS-Cov-2 to control the self-replication of m13 phage, so that the presence of the viral protease can be amplified by phage replication as the first round of signal amplification. Then, the genome of replicated phage can be detected using polymer chain reaction (PCR), as the second round of signal amplification. Based on these two types of well-established biotechnology, the proposed method shows satisfactory sensitivity and robustness in the direct serum detection of the viral protease. These results may point to clinical application in the near future.

Effectiveness, cost-utility and physiological underpinnings of the FIBROWALK multicomponent therapy in online and outdoor format in individuals with fibromyalgia: Study protocol of a randomized, controlled trial (On&Out study)

Introduction: The On&amp;Out study is aimed at assessing the effectiveness, cost-utility and physiological underpinnings of the FIBROWALK multicomponent intervention conducted in two different settings: online (FIBRO-On) or outdoors (FIBRO-Out). Both interventions have proved to be efficacious in the short-term but there is no study assessing their comparative effectiveness nor their long-term effects. For the first time, this study will also evaluate the cost-utility (6-month time-horizon) and the effects on immune-inflammatory biomarkers and Brain-Derived Neurotrophic Factor (BDNF) levels of both interventions. The objectives of this 6-month, randomized, controlled trial (RCT) are 1) to examine the effectiveness and cost-utility of adding FIBRO-On or FIBRO-Out to Treatment-As-Usual (TAU) for individuals with fibromyalgia (FM); 2) to identify pre–post differences in blood biomarker levels in the three study arms and 3) to analyze the role of process variables as mediators of 6-month follow-up clinical outcomes.

Methods and analysis: Participants will be 225 individuals with FM recruited at Vall d’Hebron University Hospital (Barcelona, Spain), randomly allocated to one of the three study arms: TAU vs. TAU + FIBRO-On vs. TAU + FIBRO-Out. A comprehensive assessment to collect functional impairment, pain, fatigue, depressive and anxiety symptoms, perceived stress, central sensitization, physical function, sleep quality, perceived cognitive dysfunction, kinesiophobia, pain catastrophizing, psychological inflexibility in pain and pain knowledge will be conducted pre-intervention, at 6 weeks, post-intervention (12 weeks), and at 6-month follow-up. Changes in immune-inflammatory biomarkers [i.e., IL-6, CXCL8, IL-17A, IL-4, IL-10, and high-sensitivity C-reactive protein (hs-CRP)] and Brain-Derived Neurotrophic Factor will be evaluated in 40 participants in each treatment arm (total n = 120) at pre- and post-treatment. Quality of life and direct and indirect costs will be evaluated at baseline and at 6-month follow-up. Linear mixed-effects regression models using restricted maximum likelihood, mediational models and a full economic evaluation applying bootstrapping techniques, acceptability curves and sensitivity analyses will be computed.

Ethics and dissemination: This study has been approved by the Ethics Committee of the Vall d’Hebron Institute of Research. The results will be actively disseminated through peer-reviewed journals, conference presentations, social media and various community engagement activities. Trial registration number NCT05377567 (clinicaltrials.gov).

Time-Series Prediction for the Epidemic Trends of COVID-19 Using Conditional Generative Adversarial Networks Regression on Country-Wise Case Studies

Probabilistic Regression is a statistical technique and a crucial problem in the machine learning domain which employs a set of machine learning methods to forecast a continuous target variable based on the value of one or multiple predictor variables. COVID-19 is a virulent virus that has brought the whole world to a standstill. The potential of the virus to cause inter human transmission makes the world a dangerous place. This article predicts the upcoming circumstances of the Corona virus to subside its action. We have performed Conditional GAN regression to anticipate the subsequent COVID-19 cases of five countries. The GAN variant CGAN is used to design the model and predict the COVID-19 cases for 3 months ahead with least error for the dataset provided. Each country is examined individually, due to their variation in population size, tradition, medical management and preventive measures. The analysis is based on confirmed data, as provided by the World Health Organization. This paper investigates how conditional Generative Adversarial Networks (GANs) can be used to accurately exhibit intricate conditional distributions. GANs have got spectacular achievement in producing convoluted high-dimensional data, but work done on their use for regression problems is minimal. This paper exhibits how conditional GANs can be employed in probabilistic regression. It is shown that conditional GANs can be used to evaluate a wide range of various distributions and be competitive with existing probabilistic regression models.

Tailored treatment strategies for cancer patients during COVID-19 pandemic

The global pandemic of respiratory disease caused by the novel human coronavirus (SARS-CoV-2) has caused indefinite global distress, uncertainty, and disturbance. This pandemic has had direct and indirect impacts for the healthcare systems across the world, but certain subgroups of patients have been particularly affected. Among these groups are patients with cancer, who as a result of their immunosuppressed status either from the disease itself or as a consequence of treatment, are at increased risk of severe COVID-19 infection and complications. The pandemic has also led to limited resources as medical services have been primarily directed to emergency care. In this context, physicians and healthcare providers have had to balance the importance of continuing treatment of cancer patients with the risk of virus infection. In this review, we outline the treatment strategies for cancer patients during this pandemic, focusing on tailored treatment in this challenging situation of varying risks and benefits.

A systematic review of telehealth applications in hospital medicine

BACKGROUND

Despite the proliferation of telehealth, uptake for acute inpatient services has been slower. Hospitalist shortages in rural and critical access hospitals as well as the COVID-19 pandemic have led to a renewed interest in telehealth to deliver acute inpatient services. Understanding current evidence is crucial for promoting uptake and developing evidence-based practices.

OBJECTIVE

To conduct a systematic review of telehealth applications in acute inpatient general medicine and pediatric hospital wards and synthesize available evidence.

DATA SOURCES

A search of five databases (PubMed, CINAHL, Embase, Scopus, and ProQuest Theses, and Dissertations) using a combination of search terms including telemedicine and hospital medicine/inpatient care keywords yielded 17,015 citations.

STUDY SELECTION AND DATA EXTRACTION

Two independent coders determined eligibility based on inclusion and exclusion criteria. Data were extracted and organized into main categories based on findings: (1) feasibility and planning, (2) implementation and technology, and (3) telehealth application process and outcome measures.

RESULTS

Of the 20 publications included, three were feasibility and planning studies describing the creation of the program, services provided, and potential cost implications. Five studies described implementation and technology used, including training, education, and evaluation methods. Finally, twelve discussed process and outcome measures, including patient and provider satisfaction and costs.

CONCLUSION

Telehealth services for hospital medicine were found to be effective, well received, and initial cost estimates appear favorable. A variety of services were described across programs with considerable benefit appreciated by rural and smaller hospitals. Additional work is needed to evaluate clinical outcomes and overall program costs.

Building social identity-based groups to enhance online peer support for patients with chronic disease: a pilot study using mixed-methods evaluation

Online peer support is increasingly important to encourage patients with chronic diseases to engage in successful self-management. However, studies mainly focus on individual-level participation and have not fully explored how to maximize the impact of online peer support through group identification. In this study, we aim to build an online social identity-based group to examine the impact of group identity on peer support. Twenty-five participants who completed the first phase of a larger study were randomly assigned either to the treatment group (identity-based group level, n = 15, three subgroups, five members in each subgroup) or to the control group (individual-level, n = 10). All participants in both treatment and control groups received the same tasks and incentives. Peer support behavior (informational support and emotional support), task completion (knowledge learning, self-tracking behavior), and health-related outcomes (self-efficacy [SE] and HbA1c) were collected for qualitative and quantitative analysis. Results from a 3-month pilot experiment showed that the treatment group offered substantial enhancement in peer support compared to the control group. It also significantly promoted improvement in SE. However, there was no significant difference in task completion or changes in HbA1c between the two groups. The results of the content analysis suggest that having a team leader, timely responsiveness, and intergroup competition played important roles in building social identity-based online groups and subsequently generating peer support. We provide some encouraging results that indicate how online groups may be effectively designed to promote peer support.

Telemedicine as a strategic intervention for cognitive rehabilitation in MS patients during COVID-19

The recent COVID-19 pandemic has taken the lives of nearly 5.2 million up to now. With no definite treatment and considering close contact as the primary mode of transmission, telemedicine has emerged as an essential medical care platform. Virtual medical communications have offered clinicians the opportunity to visit and follow up on patients more efficiently during the lockdown. Not only has telemedicine improved multiple sclerosis (MS) patients’ health and quality of life during the pandemic, but it could also be used as a cost-effective platform for physical and cognitive MS rehabilitation programs. Cognitive impairment is a common problem among MS patients even at the initial phases of the disease. Rehabilitation training programs such as RehaCom, BrainHQ, Speed of Processing Training (PST), and COGNI-TRAcK have made great strides in improving a wide range of cognitive functions that MS patients are challenged with. Regarding the impact of COVID-19 on the cognitive aspects of MS patients, efforts to implement rehabilitation training applications have been increased. Web-based mobile applications, virtual visits, and telephone follow-ups are examples of such efforts. Having said that, limitations such as privacy, socioeconomic disparities, e-health literacy, study settings, and challenges of neurologic examinationss have been raised. Since most MS patients are young, all the beneficiaries are encouraged to embrace the research in the field to pave the road for more feasible and efficient ways of cognitive enhancement in MS patients.

Human-Centered Design of Mobile Health Apps for Older Adults: Systematic Review and Narrative Synthesis

BACKGROUND

The world is aging. The number of older patients is on the rise, and along with it comes the burden of noncommunicable diseases, both clinical and economic. Attempts with mobile health (mHealth) have been made to remedy the situation with promising outcomes. Researchers have adopted human-centered design (HCD) in mHealth creation to ensure those promises become a reality.

OBJECTIVE

This systematic review aims to explore existing literature on relevant primary research and case studies to (1) illustrate how HCD can be used to create mHealth solutions for older adults and (2) summarize the overall process with recommendations specific to the older population.

METHODS

We conducted a systematic review to address the study objectives. IEEE Xplore, Medline via Ovid, PubMed, and Scopus were searched for HCD research of mHealth solutions for older adults. Two independent reviewers then included the papers if they (1) were written in English, (2) included participants equal to or older than 60 years old, (3) were primary research, and (4) reported about mHealth apps and their HCD developments from start to finish. The 2 reviewers continued to assess the included studies' qualities using the Mixed Methods Appraisal Tool (MMAT). A narrative synthesis was then carried out and completed.

RESULTS

Eight studies passed the eligibility criteria: 5 were mixed methods studies and 3 were case studies. Some studies were about the same mHealth projects with a total of 5 mHealth apps. The included studies differed in HCD goals, target groups, and details of their HCD methodologies. The HCD process was explored through narrative synthesis in 4 steps according to the International Standardization Organization (ISO) standard 9241-210: (1) understand and specify the context of use, (2) specify the user requirements, (3) produce design solutions to meet these requirements, and (4) evaluate the designs against requirements. The overall process and recommendations unique to older adults are summarized logically with structural order and time order based on the Minto pyramid principle and ISO 9241-210.

CONCLUSIONS

Findings show that HCD can be used to create mHealth solutions for older adults with positive outcomes. This review has also summarized practical HCD steps and additional suggestions based on existing literature in the subfield. However, evidence-based results are still limited because most included studies lacked details about their sampling methods and did not set objective and quantifiable goals, leading to failure to draw significant conclusions. More studies of HCD application on mHealth for older adults with measurable design goals and rigorous research strategy are warranted.

Remote visits for people with multiple sclerosis during the COVID-19 pandemic in Austria: The TELE MS randomized controlled trial

Introduction

Continuous monitoring is the hallmark of managing chronic disease. Multiple sclerosis (MS), in particular, requires patients to visit their treating neurologists typically twice a year, at least. In that respect, the COVID-19 pandemic made us rethink our communication strategies. This study determined satisfaction with remote visits for people with MS (pwMS) by comparing non-inferiority to conventional visits.

Methods

TELE MS was a randomized controlled trial that was open to any person with MS. We randomized a volunteer sample of 45 patients. We compared satisfaction with remote visits (via phone or via videochat) with conventional outpatient visits. The primary endpoint was patient satisfaction determined by the Telemedicine Perception Questionnaire (TMPQ, min: 17 and max: 85 points) with the hypothesis of non-inferiority of televisits to conventional visits. Physician satisfaction measured on the PPSM score (Patient and Physician Satisfaction with Monitoring, min: 5 and max: 25 points) was the secondary endpoint.

Results

The trial met both endpoints. Mean (SD) TMPQ scores in the individual groups were 58 (6.7) points for conventional visits, 65 (7.5) points for phone visits, and 62 (5.5) points for video visits. Physician satisfaction over the whole cohort was similarly high. Median (range) PPSM scores were 23 (16–25) for the whole cohort, 19 (16–25) for conventional visits, 25 (17–25) for phone visits, and 25 (16–25) for video visits.

Conclusions

Televisits in multiple sclerosis yield a high level of satisfaction for both patients and treating physicians. This concept for remote patient monitoring adopted during the current pandemic may be communicable to other chronic diseases as well.

ClinicalTrials.gov identifier: NCT04838990

Association of Physician Characteristics With Early Adoption of Virtual Health Care

IMPORTANCE

The rapid transition to virtual health care has depended on physician and patient abilities to adopt new technology and workflows. Physicians transitioning more slowly or not at all could result in access challenges for their patients.

OBJECTIVE

To identify physician characteristics associated with the transition to virtual health care in a large regional health care system.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cross-sectional study uses administrative health system databases to analyze data from all 3473 physicians providing ambulatory care through a large New England health care system, which includes 12 hospitals and their ambulatory practices, from October 1, 2019, through December 31, 2020.

EXPOSURES

Physicians characterized based on gender, popularized generational demographic cohort (Silent Generation, born 1928-1945; Baby Boomers, born 1946-1964; Generation X, born 1965-1980; and Millennials, born 1981-1996), specialty (behavioral health, primary care, medical, and surgical), and hospital affiliation as well as selected patient characteristics (number of visits and proportion of patients with self-pay or Medicaid insurance, aged 65 years or older, preference for speaking a language other than English, from a racial or ethnic minority group, and with an active patient portal).

MAIN OUTCOMES AND MEASURES

Early adoption of virtual health care. Bivariate comparisons were made, and regression modeling was used to examine characteristics associated with the likelihood of early adoption of virtual health care.

RESULTS

Of 3473 physicians conducting ambulatory visits during the study period, 1624 (46.8%) were women, 83 (2.4%) were in the Silent Generation, 994 (28.6%) were Baby Boomers, 1637 (47.1%) were in Generation X, and 759 (21.9%) were Millennials. There were 1649 physicians (47.5%) in medical specialties, 749 physicians (21.6%) in surgical specialties, and 248 physicians (7.1%) in behavioral health. After accounting for other characteristics, female (odds ratio [OR], 1.23; 95% CI, 1.06-1.44), behavioral health (OR, 2.92; 95% CI, 2.11-4.04), and primary care (OR, 1.69; 95% CI, 1.36-2.09) physicians had greater odds of being early adopters, and physicians in the Silent Generation (OR, 0.39, 95% CI, 0.24-0.65) and in surgical specialties (OR, 0.46; 95% CI, 0.38-0.57) were less likely to be early adopters. Patient characteristics were less strongly associated with physician adoption.

CONCLUSIONS AND RELEVANCE

In this cross-sectional study, there was physician-level variation in the adoption of virtual health care, with female, primary care, and behavioral health physicians in this system most likely to lead the transformation to virtual health care.

Inpatient Telemedicine Implementation as an Infection Control Response to COVID-19: Qualitative Process Evaluation Study

Background

The COVID-19 pandemic created new challenges to delivering safe and effective health care while minimizing virus exposure among staff and patients without COVID-19. Health systems worldwide have moved quickly to implement telemedicine in diverse settings to reduce infection, but little is understood about how best to connect patients who are acutely ill with nearby clinical team members, even in the next room.

Objective

To inform these efforts, this paper aims to provide an early example of inpatient telemedicine implementation and its perceived acceptability and effectiveness.

Methods

Using purposive sampling, this study conducted 15 semistructured interviews with nurses (5/15, 33%), attending physicians (5/15, 33%), and resident physicians (5/15, 33%) on a single COVID-19 unit within Stanford Health Care to evaluate implementation outcomes and perceived effectiveness of inpatient telemedicine. Semistructured interview protocols and qualitative analysis were framed around the RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) framework, and key themes were identified using a rapid analytic process and consensus approach.

Results

All clinical team members reported wide reach of inpatient telemedicine, with some use for almost all patients with COVID-19. Inpatient telemedicine was perceived to be effective in reducing COVID-19 exposure and use of personal protective equipment (PPE) without significantly compromising quality of care. Physician workflows remained relatively stable, as most standard clinical activities were conducted via telemedicine following the initial intake examination, though resident physicians reported reduced educational opportunities given limited opportunities to conduct physical exams. Nurse workflows required significant adaptations to cover nonnursing duties, such as food delivery and facilitating technology connections for patients and physicians alike. Perceived patient impact included consistent care quality, with some considerations around privacy. Reported challenges included patient–clinical team communication and personal connection with the patient, perceptions of patient isolation, ongoing technical challenges, and certain aspects of the physical exam.

Conclusions

Clinical team members reported inpatient telemedicine encounters to be acceptable and effective in reducing COVID-19 exposure and PPE use. Nurses adapted their workflows more than physicians in order to implement the new technology and bore a higher burden of in-person care and technical support. Recommendations for improved inpatient telemedicine use include information technology support and training, increased technical functionality, and remote access for the clinical team.

Integrating Digital Technologies and Public Health to Fight Covid-19 Pandemic: Key Technologies, Applications, Challenges and Outlook of Digital Healthcare

Integration of digital technologies and public health (or digital healthcare) helps us to fight the Coronavirus Disease 2019 (COVID-19) pandemic, which is the biggest public health crisis humanity has faced since the 1918 Influenza Pandemic. In order to better understand the digital healthcare, this work conducted a systematic and comprehensive review of digital healthcare, with the purpose of helping us combat the COVID-19 pandemic. This paper covers the background information and research overview of digital healthcare, summarizes its applications and challenges in the COVID-19 pandemic, and finally puts forward the prospects of digital healthcare. First, main concepts, key development processes, and common application scenarios of integrating digital technologies and digital healthcare were offered in the part of background information. Second, the bibliometric techniques were used to analyze the research output, geographic distribution, discipline distribution, collaboration network, and hot topics of digital healthcare before and after COVID-19 pandemic. We found that the COVID-19 pandemic has greatly accelerated research on the integration of digital technologies and healthcare. Third, application cases of China, EU and U.S using digital technologies to fight the COVID-19 pandemic were collected and analyzed. Among these digital technologies, big data, artificial intelligence, cloud computing, 5G are most effective weapons to combat the COVID-19 pandemic. Applications cases show that these technologies play an irreplaceable role in controlling the spread of the COVID-19. By comparing the application cases in these three regions, we contend that the key to China's success in avoiding the second wave of COVID-19 pandemic is to integrate digital technologies and public health on a large scale without hesitation. Fourth, the application challenges of digital technologies in the public health field are summarized. These challenges mainly come from four aspects: data delays, data fragmentation, privacy security, and data security vulnerabilities. Finally, this study provides the future application prospects of digital healthcare. In addition, we also provide policy recommendations for other countries that use digital technology to combat COVID-19.

Artificial Intelligence Can Improve Patient Management at the Time of a Pandemic: The Role of Voice Technology

Artificial intelligence–driven voice technology deployed on mobile phones and smart speakers has the potential to improve patient management and organizational workflow. Voice chatbots have been already implemented in health care–leveraging innovative telehealth solutions during the COVID-19 pandemic. They allow for automatic acute care triaging and chronic disease management, including remote monitoring, preventive care, patient intake, and referral assistance. This paper focuses on the current clinical needs and applications of artificial intelligence–driven voice chatbots to drive operational effectiveness and improve patient experience and outcomes.

"A decade's worth of work in a matter of days": The journey to telehealth for the whole population in Australia

Introduction

Internationally the COVID-19 pandemic has triggered a dramatic and unprecedented shift in telehealth uptake as a means of protecting healthcare consumers and providers through remote consultation modes. Early in the pandemic, Australia implemented a comprehensive and responsive set of policy measures to support telehealth. Initially targeted at protecting vulnerable individuals, including health professionals, this rapidly expanded to a “whole population” approach as the pandemic evolved. This policy response supported health system capacity and community confidence by protecting patients and healthcare providers; creating opportunities for controlled triage, remote assessment and treatment of mild COVID-19 cases; redeploying quarantined or isolated health care workers (HCWs); and maintaining routine and non-COVID healthcare.

Purpose

This paper provides a review of the literature regarding telephone and video consulting, outlines the pre-COVID background to telehealth implementation in Australia, and describes the national telehealth policy measures instituted in response to COVID-19. Aligned with the existing payment system for out of hospital care, and funded by the national health insurance scheme, a suite of approximately 300 temporary telehealth Medicare-subsidised services were introduced. Response to these initiatives was swift and strong, with 30.01 million services, at a cost of AUD $1.54 billion, claimed in the first six months.

Findings

This initiative has been a major policy success, ensuring the safety of healthcare consumers and healthcare workers during a time of great uncertainty, and addressing known financial risks and barriers for health service providers. The risks posed by COVID-19 have radically altered the value proposition of telehealth for patients and clinicians, overcoming many previously encountered barriers to implementation, including willingness of clinicians to adopt telehealth, consumer awareness and demand, and the necessity of learning new ways of conducting safe consultations. However, ensuring the quality of telehealth services is a key ongoing concern.

Conclusions

Despite a preference by policymakers for video consultation, the majority of telehealth consults in Australia were conducted by telephone. The pronounced dominance of telephone item numbers in early utilisation data suggests there are still barriers to video-consultations, and a number of challenges remain before the well-described benefits of telehealth can be fully realised from this policy and investment. Ongoing exposure to a range of clinical, legislative, insurance, educational, regulatory, and interoperability concerns and solutions, driven by necessity, may drive changes in expectations about what is desirable and feasible – among both patients and clinicians.

Digital health interventions for COVID-19 in China: a retrospective analysis

BACKGROUND

The use of digital health technologies was an integral part to China's early response to coronavirus disease 2019 (COVID-19). Existing literatures have analyzed and discussed implemented digital health innovations from the perspective of technologies, whereas how policy mechanisms contributed to the formulation of the digital health landscape for COVID-19 was overlooked. This study aimed to examine the contexts and key mechanisms in China's rapid mobilization of digital health interventions in response to COVID-19, and to document and share lessons learned.

METHODS

Policy documents were identified and retrieved from government portals and recognized media outlets. Data on digital health interventions were collected through three consecutive surveys administered between 23 January 2020 and 31 March 2020 by China Academy of Information and Communication Technology (CAICT) affiliated to the Ministry of Industry and Information Technology (MIIT). Participants were member companies of the Internet Health alliance established by MIIT and the National Health Commission (NHC) in June 2016. Self-report digital interventions focusing on social and economic recovery were excluded. Two hundred and sixty-six unique digital health interventions meeting our criteria were extracted from 175 narratives on digital health interventions submitted by 116 participating companies. Thematic analysis was conducted to describe the scope and priority of policies advocating for the use of digital health technologies and the implementation pattern of digital health interventions. Data limitations precluded an evaluation of the impact of digital health interventions over a longer time frame.

RESULTS

Between January and March 2020, national policy directives promoting the use of digital technologies for the containment of COVID-19 collectively advocated for use cases in emergency planning and preparedness, public health response, and clinical services. Interventions to strengthen clinical services were mentioned more than the other two themes (n = 15, 62.5% (15/24)). Using digital technologies for public health response was mentioned much less than clinical services (n = 5, 20.8% (5/24)). Emergency planning and preparedness was least mentioned (n = 4, 16.7% (4/24)). Interventions in support of clinical services disproportionately favored healthcare facilities in less resource-constraint settings. Digital health interventions shared the same pattern of distribution. More digital health technologies were implemented in clinical services (n = 103, 38.7% (103/266)) than that in public health response (n = 91, 34.2% (91/266)). Emergency planning and preparedness had the least self-reported digital health interventions (n = 72, 27.1% (72/266)). We further identified case studies under each theme in which the wide use of digital health technologies highlighted contextual factors and key enabling mechanisms.

CONCLUSIONS

The contextual factors and key enabling mechanisms through the use of policy instruments to promote digital health interventions for COVID-19 in China include pathway of policy directives influencing the private sector using a decentralized system, the booming digital health landscape before COVID-19, agility of the public sector in introducing regulatory flexibilities and incentives to mobilize the private sector.

Telestroke Across the Continuum of Care: Lessons from the COVID-19 Pandemic

While use of telemedicine to guide emergent treatment of ischemic stroke is well established, the COVID-19 pandemic motivated the rapid expansion of care via telemedicine to provide consistent care while reducing patient and provider exposure and preserving personal protective equipment. Temporary changes in re-imbursement, inclusion of home office and patient home environments, and increased access to telehealth technologies by patients, health care staff and health care facilities were key to provide an environment for creative and consistent high-quality stroke care. The continuum of care via telestroke has broadened to include prehospital, inter-facility and intra-facility hospital-based services, stroke telerehabilitation, and ambulatory telestroke. However, disparities in technology access remain a challenge. Preservation of reimbursement and the reduction of regulatory burden that was initiated during the public health emergency will be necessary to maintain expanded patient access to the full complement of telestroke services. Here we outline many of these initiatives and discuss potential opportunities for optimal use of technology in stroke care through and beyond the pandemic.

Results of Testing Children for Severe Acute Respiratory Syndrome Coronavirus-2 Through a Community-based Testing Site

OBJECTIVE

To describe the demographics, clinical features, and test results of children referred from their primary provider for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in the community setting.

STUDY DESIGN

Retrospective cross-sectional study of children ≤22 years of age who were tested for SARS-CoV-2 at a community-based specimen collection site in Washington, DC, affiliated with a large children's hospital between March 21 and May 16, 2020.

RESULTS

Of the 1445 patients tested at the specimen collection site for SARS-CoV-2 virus, 408 (28.2%) had a positive polymerase chain reaction test. The daily positivity rate increased over the study period, from 5.4% during the first week to a peak of 47.4% (P_trend < .001). Patients with fever (aOR, 1.7; 95% CI, 1.3-2.3) or cough (aOR, 1.4; 95% CI, 1.1-1.9) and those with known contact with someone with confirmed SARS-CoV-2 infection (aOR, 1.6; 95% CI, 1.0-2.4.) were more likely have a positive test, but these features were not highly discriminating.

CONCLUSIONS

In this cohort of mildly symptomatic or well children and adolescents referred to a community drive-through/walk-up SARS-CoV-2 testing site because of risk of exposure or clinical illness, 1 in 4 patients had a positive test. Children and young adults represent a considerable burden of SARS-CoV-2 infection. Assessment of their role in transmission is essential to implementing appropriate control measures.

Backslide or forward progress? Virtual care at U.S. healthcare systems beyond the COVID-19 pandemic

The COVID-19 pandemic forced most U.S. healthcare systems to quickly pivot to virtual care. However, since peaking in late April, care has largely shifted back to in-person. Health systems are now challenged to further develop and integrate useful, usable, and sustainable virtual care tools into their broader care model in ways that benefit their organizations and the communities they serve.

Exploring Pediatric Tele-Rheumatology Practices During COVID-19: A Survey of the PRCOIN Network

Healthcare providers were rapidly forced to modify the way they practiced medicine during the coronavirus disease 2019 (COVID-19) pandemic. Many providers transitioned from seeing their patients in person to virtually using telemedicine platforms with limited training and experience using this medium. In pediatric rheumatology, this was further complicated as musculoskeletal exams typically require hands-on assessment of patients. The objective of this study was to examine the adoption of telemedicine into pediatric rheumatology practices, to assess its benefits and challenges, and to gather opinions on its continued use. A survey was sent to the lead representatives of each Pediatric Rheumatology Care and Outcomes Improvement Network (PR-COIN) site to collect data about their center's experience with telemedicine during the COVID-19 pandemic. Quantitative data were analyzed using descriptive statistics, and qualitative data were thematically analyzed. Responses were received from the majority [19/21 (90%)] of PR-COIN sites. All respondents reported transitioning from in-person to primarily virtual patient visits during the COVID-19 pandemic. All centers reported seeing both new consultations and follow-up patients over telemedicine. Most centers reported using both audio and video conferencing systems to conduct their telemedicine visits. The majority of respondents [13/19 (68%)] indicated that at least 50% of their site's providers consistently used pediatric Gait Arms Legs and Spine (pGALS) to perform active joint count assessments over telemedicine. Over half of the centers [11/19 (58%)] reported collecting patient-reported outcomes (PROs), but the rate of reliably documenting clinical components varied. A few sites [7/19 (37%)] reported performing research-related activity during telemedicine visits. All centers thought that telemedicine visits were able to meet providers' needs and support their continued use when the pandemic ends. Benefits reported with telemedicine visits included convenience and continuity of care for families. Conversely, challenges included limited ability to perform physical exams and varying access to technology. Pediatric rheumatology providers were able to transition to conducting virtual visits during the COVID-19 pandemic. Healthcare providers recognize how telemedicine can enhance their practice, but challenges need to be overcome in order to ensure equitable, sustainable delivery of quality and patient-centered care.

Remote Patient Monitoring Program for Hospital Discharged COVID-19 Patients

OBJECTIVE

We deployed a Remote Patient Monitoring (RPM) program to monitor patients with coronavirus disease 2019 (COVID-19) upon hospital discharge. We describe the patient characteristics, program characteristics, and clinical outcomes of patients in our RPM program.

METHODS

We enrolled COVID-19 patients being discharged home from the hospital. Enrolled patients had an app, and were provided with a pulse oximeter and thermometer. Patients self-reported symptoms, O₂ saturation, and temperature daily. Abnormal symptoms or vital signs were flagged and assessed by a pool of nurses. Descriptive statistics were used to describe patient and program characteristics. A mixed-effects logistic regression model was used to determine the odds of a combined endpoint of emergency department (ED) or hospital readmission.

RESULTS

A total of 295 patients were referred for RPM from five participating hospitals, and 225 patients were enrolled. A majority of enrolled patients (66%) completed the monitoring period without triggering an abnormal alert. Enrollment was associated with a decreased odds of ED or hospital readmission (adjusted odds ratio: 0.54; 95% confidence interval: 0.3-0.97; p = 0.039). Referral without enrollment was not associated with a reduced odds of ED or hospital readmission.

CONCLUSION

RPM for COVID-19 provides a mechanism to monitor patients in their home environment and reduce hospital utilization. Our work suggests that RPM reduces readmissions for patients with COVID-19 and provides scalable remote monitoring capabilities upon hospital discharge. RPM for postdischarge patients with COVID-19 was associated with a decreased risk of readmission to the ED or hospital, and provided a scalable mechanism to monitor patients in their home environment.

Virtual Cancer Care During the COVID-19 Pandemic and Beyond: A Call for Evaluation

The interplay of virtual care and cancer care in the context of the COVID-19 pandemic is unique and unprecedented. Patients with cancer are at increased risk of SARS-CoV-2 infection and have worse outcomes than patients with COVID-19 who do not have cancer. Virtual care has been introduced quickly and extemporaneously in cancer treatment centers worldwide to maintain COVID-19-free zones. The outbreak of COVID-19 in a cancer center could have devastating consequences. The virtual care intervention that was first used in our cancer center, as well as many others, was a landline telephone in an office or clinic that connected a clinician with a patient. There is a lack of virtual care evaluation from the perspectives of patients and oncology health care providers. A number of factors for assessing oncology care delivered through a virtual care intervention have been described, including patient rapport, frailty, delicate conversations, team-based care, resident education, patient safety, technical effectiveness, privacy, operational effectiveness, and resource utilization. These factors are organized according to the National Quality Forum framework for the assessment of telehealth in oncology. This includes the following 4 domains of assessing outcomes: experience, access to care, effectiveness, and financial impact or cost. In terms of virtual care and oncology, the pandemic has opened the door to change. The lessons learned during the initial period of the pandemic have given rise to opportunities for the evolution of long-term virtual care. The opportunity to evaluate and improve virtual care should be seized upon.

Digital triage: Novel strategies for population health management in response to the COVID-19 pandemic

The COVID-19 pandemic has created unique challenges for the U.S. healthcare system due to the staggering mismatch between healthcare system capacity and patient demand. The healthcare industry has been a relatively slow adopter of digital innovation due to the conventional belief that humans need to be at the center of healthcare delivery tasks. However, in the setting of the COVID-19 pandemic, artificial intelligence (AI) may be used to carry out specific tasks such as pre-hospital triage and enable clinicians to deliver care at scale. Recognizing that the majority of COVID-19 cases are mild and do not require hospitalization, Partners HealthCare (now Mass General Brigham) implemented a digitally-automated pre-hospital triage solution to direct patients to the appropriate care setting before they showed up at the emergency department and clinics, which would otherwise consume resources, expose other patients and staff to potential viral transmission, and further exacerbate supply-and-demand mismatching. Although the use of AI has been well-established in other industries to optimize supply and demand matching, the introduction of AI to perform tasks remotely that were traditionally performed in-person by clinical staff represents a significant milestone in healthcare operations strategy.

Rapid deployment of virtual ICU support during the COVID-19 pandemic

The COVID-19 pandemic brought many serious challenges to the clinical workplace, and was a catalyst to novel approaches to the way in which we practice medicine. These challenges include extreme numbers of critically ill patients overwhelming many intensive care units, how to maintain the flow of communication between clinicians, patients and their families, and how to prevent the spread of infection working on quarantined units in personal protective equipment. The Royal Brompton and Harefield Hospitals deployed a series of digital solutions to try to address some of those challenges and a series of case studies describes their clinical application in three clinical domains: communicating with families, clinical communication between clinicians and the delivery of clinical education.

Readiness for voice assistants to support healthcare delivery during a health crisis and pandemic

To prevent the spread of COVID-19 and to continue responding to healthcare needs, hospitals are rapidly adopting telehealth and other digital health tools to deliver care remotely. Intelligent conversational agents and virtual assistants, such as chatbots and voice assistants, have been utilized to augment health service capacity to screen symptoms, deliver healthcare information, and reduce exposure. In this commentary, we examined the state of voice assistants (e.g., Google Assistant, Apple Siri, Amazon Alexa) as an emerging tool for remote healthcare delivery service and discussed the readiness of the health system and technology providers to adapt voice assistants as an alternative healthcare delivery modality during a health crisis and pandemic.

Telemedicine in Behavioral Neurology-Neuropsychiatry: Opportunities and Challenges Catalyzed by COVID-19

Coronavirus 2019 (COVID-19) has profoundly impacted the well-being of society and the practice of medicine across health care systems worldwide. As with many other subspecialties, the clinical paradigm in behavioral neurology and neuropsychiatry (BN-NP) was transformed abruptly, transitioning to real-time telemedicine for the assessment and management of the vast majorities of patient populations served by our subspecialty. In this commentary, we outline themes from the BN-NP perspective that reflect the emerging lessons we learned using telemedicine during the COVID-19 pandemic. Positive developments include the ability to extend consultations and management to patients in our high-demand field, maintenance of continuity of care, enhanced ecological validity, greater access to a variety of well-reimbursed telemedicine options (telephone and video) that help bridge the digital divide, and educational and research opportunities. Challenges include the need to adapt the mental state examination to the telemedicine environment, the ability to perform detailed motor neurologic examinations in patients where motor features are important diagnostic considerations, appreciating nonverbal cues, managing acute safety and behavioral concerns in less controlled environments, and navigating intervention-based (neuromodulation) clinics requiring in-person contact. We hope that our reflections help to catalyze discussions that should take place within the Society for Behavioral and Cognitive Neurology, the American Neuropsychiatric Association, and allied organizations regarding how to optimize real-time telemedicine practices for our subspecialty now and into the future.

Patient Satisfaction With Telemedicine During the COVID-19 Pandemic: Retrospective Cohort Study

Background

New York City was the international epicenter of the COVID-19 pandemic. Health care providers responded by rapidly transitioning from in-person to video consultations. Telemedicine (ie, video visits) is a potentially disruptive innovation; however, little is known about patient satisfaction with this emerging alternative to the traditional clinical encounter.

Objective

This study aimed to determine if patient satisfaction differs between video and in-person visits.

Methods

In this retrospective observational cohort study, we analyzed 38,609 Press Ganey patient satisfaction survey outcomes from clinic encounters (620 video visits vs 37,989 in-person visits) at a single-institution, urban, quaternary academic medical center in New York City for patients aged 18 years, from April 1, 2019, to March 31, 2020. Time was categorized as pre–COVID-19 and COVID-19 (before vs after March 4, 2020). Wilcoxon-Mann-Whitney tests and multivariable linear regression were used for hypothesis testing and statistical modeling, respectively.

Results

We experienced an 8729% increase in video visit utilization during the COVID-19 pandemic compared to the same period last year. Video visit Press Ganey scores were significantly higher than in-person visits (94.9% vs 92.5%; P<.001). In adjusted analyses, video visits (parameter estimate [PE] 2.18; 95% CI 1.20-3.16) and the COVID-19 period (PE 0.55; 95% CI 0.04-1.06) were associated with higher patient satisfaction. Younger age (PE –2.05; 95% CI –2.66 to –1.22), female gender (PE –0.73; 95% CI –0.96 to –0.50), and new visit type (PE –0.75; 95% CI –1.00 to –0.49) were associated with lower patient satisfaction.

Conclusions

Patient satisfaction with video visits is high and is not a barrier toward a paradigm shift away from traditional in-person clinic visits. Future research comparing other clinic visit quality indicators is needed to guide and implement the widespread adoption of telemedicine.

Patient Satisfaction With Telemedicine During the COVID-19 Pandemic: Retrospective Cohort Study

BACKGROUND

New York City was the international epicenter of the COVID-19 pandemic. Health care providers responded by rapidly transitioning from in-person to video consultations. Telemedicine (ie, video visits) is a potentially disruptive innovation; however, little is known about patient satisfaction with this emerging alternative to the traditional clinical encounter.

OBJECTIVE

This study aimed to determine if patient satisfaction differs between video and in-person visits.

METHODS

In this retrospective observational cohort study, we analyzed 38,609 Press Ganey patient satisfaction survey outcomes from clinic encounters (620 video visits vs 37,989 in-person visits) at a single-institution, urban, quaternary academic medical center in New York City for patients aged 18 years, from April 1, 2019, to March 31, 2020. Time was categorized as pre-COVID-19 and COVID-19 (before vs after March 4, 2020). Wilcoxon-Mann-Whitney tests and multivariable linear regression were used for hypothesis testing and statistical modeling, respectively.

RESULTS

We experienced an 8729% increase in video visit utilization during the COVID-19 pandemic compared to the same period last year. Video visit Press Ganey scores were significantly higher than in-person visits (94.9% vs 92.5%; P<.001). In adjusted analyses, video visits (parameter estimate [PE] 2.18; 95% CI 1.20-3.16) and the COVID-19 period (PE 0.55; 95% CI 0.04-1.06) were associated with higher patient satisfaction. Younger age (PE -2.05; 95% CI -2.66 to -1.22), female gender (PE -0.73; 95% CI -0.96 to -0.50), and new visit type (PE -0.75; 95% CI -1.00 to -0.49) were associated with lower patient satisfaction.

CONCLUSIONS

Patient satisfaction with video visits is high and is not a barrier toward a paradigm shift away from traditional in-person clinic visits. Future research comparing other clinic visit quality indicators is needed to guide and implement the widespread adoption of telemedicine.

The Natural History, Pathobiology, and Clinical Manifestations of SARS-CoV-2 Infections

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the etiological agent of coronavirus disease 2019 (COVID-19). SARS-CoV-2, is a positive-sense single-stranded RNA virus with epithelial cell and respiratory system proclivity. Like its predecessor, SARS-CoV, COVID-19 can lead to life-threatening disease. Due to wide geographic impact affecting an extremely high proportion of the world population it was defined by the World Health Organization as a global public health pandemic. The infection is known to readily spread from person-to-person. This occurs through liquid droplets by cough, sneeze, hand-to-mouth-to-eye contact and through contaminated hard surfaces. Close human proximity accelerates SARS-CoV-2 spread. COVID-19 is a systemic disease that can move beyond the lungs by blood-based dissemination to affect multiple organs. These organs include the kidney, liver, muscles, nervous system, and spleen. The primary cause of SARS-CoV-2 mortality is acute respiratory distress syndrome initiated by epithelial infection and alveolar macrophage activation in the lungs. The early cell-based portal for viral entry is through the angiotensin-converting enzyme 2 receptor. Viral origins are zoonotic with genomic linkages to the bat coronaviruses but without an identifiable intermediate animal reservoir. There are currently few therapeutic options, and while many are being tested, although none are effective in curtailing the death rates. There is no available vaccine yet. Intense global efforts have targeted research into a better understanding of the epidemiology, molecular biology, pharmacology, and pathobiology of SARS-CoV-2. These fields of study will provide the insights directed to curtailing this disease outbreak with intense international impact. Graphical Abstract.

Neuroendovascular clinical trials disruptions due to COVID-19. Potential future challenges and opportunities

To assess the impact of COVID-19 on neurovascular research and deal with the challenges imposed by the pandemic.

METHODS

A survey-based study focused on randomized controlled trials (RCTs) and single-arm studies for acute ischemic stroke and cerebral aneurysms was developed by a group of senior neurointerventionalists and sent to sites identified through the clinical trials website (https://clinicaltrials.gov/), study sponsors, and physician investigators.

RESULTS

The survey was sent to 101 institutions, with 65 responding (64%). Stroke RCTs were being conducted at 40 (62%) sites, aneurysm RCTs at 22 (34%) sites, stroke single-arm studies at 37 (57%) sites, and aneurysm single-arm studies at 43 (66%) sites. Following COVID-19, enrollment was suspended at 51 (78%) sites-completely at 21 (32%) and partially at 30 (46%) sites. Missed trial-related clinics and imaging follow-ups and protocol deviations were reported by 27 (42%), 24 (37%), and 27 (42%) sites, respectively. Negative reimbursements were reported at 17 (26%) sites. The majority of sites, 49 (75%), had put new trials on hold. Of the coordinators, 41 (63%) worked from home and 20 (31%) reported a personal financial impact. Remote consent was possible for some studies at 34 (52%) sites and for all studies at 5 (8%) sites. At sites with suspended trials (n=51), endovascular treatment without enrollment occurred at 31 (61%) sites for stroke and 23 (45%) sites for aneurysms. A total of 277 patients with acute ischemic stroke and 184 with cerebral aneurysms were treated without consideration for trial enrollment.

CONCLUSION

Widespread disruption of neuroendovascular trials occurred because of COVID-19. As sites resume clinical research, steps to mitigate similar challenges in the future should be considered.

Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic?

Goal: The aim of the study herein reported was to review mobile health (mHealth) technologies and explore their use to monitor and mitigate the effects of the COVID-19 pandemic. Methods: A Task Force was assembled by recruiting individuals with expertise in electronic Patient-Reported Outcomes (ePRO), wearable sensors, and digital contact tracing technologies. Its members collected and discussed available information and summarized it in a series of reports. Results: The Task Force identified technologies that could be deployed in response to the COVID-19 pandemic and would likely be suitable for future pandemics. Criteria for their evaluation were agreed upon and applied to these systems. Conclusions: mHealth technologies are viable options to monitor COVID-19 patients and be used to predict symptom escalation for earlier intervention. These technologies could also be utilized to monitor individuals who are presumed non-infected and enable prediction of exposure to SARS-CoV-2, thus facilitating the prioritization of diagnostic testing.

Implementation and Usefulness of Telemedicine During the COVID-19 Pandemic: A Scoping Review

OBJECTIVES

Identify and summarize the available literature on the acceleration in the use of telemedicine in the midst of the COVID-19 pandemic, with an aim to provide justification and guidance for its implementation to overcome the limitations associated with the pandemic worldwide.

METHODS

We conducted a scoping review through different search strategies in MEDLINE and Google Scholar to identify the available literature reporting data on implementation and usefulness of various modalities of telemedicine during the current pandemic. We summarized the included studies according to field and mode of implementation in a narrative way.

RESULTS

We included 45 studies that fulfilled selection criteria. About 38% of the studies were conducted in the United States of America (USA), followed by 15.5% in India and 15.5% in China. Most studies (73%) were cross-sectional studies based on historical records. All publications were written in English with the exception of 1 studied published in Spanish. The majority of reports focused on use of telemedicine for outpatient care, followed by in-hospital care.

CONCLUSION

The COVID-19 pandemic has promoted the use of telemedicine, a tool that has transformed the provision of medical services. Several modes of implementation are useful to overcome difficulties for patient care during the pandemic. Its benefits are specific to different fields of medical practice. Such benefits, along with the guidance and reported experiences should invite health systems to work for an effective and comprehensive implementation of telemedicine in various fields.