Understanding Telemedicine's "New Normal": Variations in Telemedicine Use by Specialty Line and Patient Demographics.

Background:Our objective was to examine the variation in telemedicine adoption by specialty line and patient demographic characteristics after the initial peak period of the coronavirus disease 2019 pandemic when in-person visits had resumed and visit volume returned to prepandemic levels.Materials and Methods:Aggregated encounter data were extracted for six service lines (dermatology, psychiatry, endocrinology, cardiology, orthopedics, and nonurgent primary care) in an integrated health system across three time periods: July 1 to September 30, 2019 (n = 239,803), July 1 to September 30, 2020 (n = 245,648), and December 29, 2019 to October 3, 2020 (n = 624,886). Risk ratios were calculated to assess the relative use of telemedicine compared with in-person encounters and telemedicine modality (i.e., synchronous audio/video vs. audio-only telephone) by patient race, age, sex, and insurance type.Results:By June 2020, total visit volume returned to prepandemic levels. Differences in patient demographics between July 1 to September 30, 2020 and the previous year's baseline were negligible. Telemedicine adoption varied by medical specialty, from 3.2% (dermatology) to 98.3% (psychiatry) of visits. African American and male patients were less likely to use telemedicine (telephone or video) compared with white and female patients. Among telemedicine encounters, African American, publicly insured, and older patients were less likely to use video compared with white, commercially insured, and younger patients.Discussion:Variation in telemedicine adoption and modality underscores the importance of balancing patient- and clinic-level implementation factors to promote sustainable, equitable telemedicine integration.Conclusion:Understanding current trends in the "new normal" of telemedicine provides valuable insights into future implementation and financing.

Treatment with Foscarnet after Allogeneic Hematopoietic Cell Transplant (Allo-HCT) Is Associated with Long-Term Loss of Renal Function.

Despite a well-established risk of chronic kidney disease (CKD) after allogeneic hematopoietic cell transplant (allo-HCT), the benefits of using nephrotoxic anti-infective agents to treat serious peritransplant infections often outweigh this risk. While there is no consensus on the optimal management of post-allo-HCT human herpes virus 6 (HHV6) reactivation, the nephrotoxic drug foscarnet is often used, although its long-term impact on renal function has not been established. We retrospectively reviewed 987 adult patients who underwent transplantation between 2002 and 2016, of whom 45.3% (n = 447) were exposed to foscarnet. The most frequent indications for foscarnet treatment were cytomegalovirus (n = 257, 57.5%) and HHV6 (n = 139, 31.1%). In the first 3 months post-transplant, patients exposed versus unexposed had similar rates of acute kidney injury and acute kidney failure (defined as 3 times baseline creatinine or <75% baseline estimated glomerular filtration rate [eGFR], 61.6% versus 58.7%, P = .42 and 28.1% versus 26.6%, P = .64, respectively). There was no difference in the eGFR at 3 months (P = .36), but patients treated with foscarnet had significantly lower median eGFRs (mL/min/1.73 m2) at 6 months (69.3, interquartile range [IQR] 51.4 to 92.8 versus 77.4, IQR 57.3 to 99.3; P = .009) and 12 months (67.8, IQR 52.7 to 85.0 versus 80.7, IQR 63.1 to 102.0; P < .001), respectively. There was also a significant difference in the decline in eGFR from baseline to 12 months (median 32.8, IQR 14.6 to 53.2 versus 21.9, IQR 6.4 to 37.4; P < .001), irrespective of the duration of foscarnet treatment. Multivariate analysis revealed that patients treated with foscarnet were more likely to experience a >30% decrease in eGFR from baseline to 12 months compared to those who were not (odds ratio, 2.30; 95% CI, 1.40 to 3.78; P = .001). We conclude that foscarnet use following allo-HCT had a profound impact on long-term renal function independent of other transplant-related factors.

What did we learn about elite student-athlete mental health systems from the COVID-19 pandemic?

Elite student-athletes (SAs) in higher education (HE) have distinct mental health (MH) risks. The COVID-19 pandemic put pressure on systems and increased elite SA vulnerability to adverse MH outcomes. The aim of this study was to explore the provision and management of MH in elite HE sports settings during the time of COVID-19 pandemic stress. The secondary aim was to identify lessons and opportunities to enhance future mental healthcare systems and services for elite SAs. A qualitative study design was used to investigate the views of three groups (athletic directors, coaches and sport healthcare providers). Ten key leaders were purposively recruited from HE institutions in Canada, the USA and the United Kingdom. They represented various universities from the National College Athletic Association, U SPORTS Canada and British Universities and Colleges Sport. Semistructured interviews were conducted, recorded, transcribed and thematically analysed. Five key themes were identified: (1) The pandemic disruption had salient impacts on motivation and how elite SAs engaged with sport (2) when student sport systems are under pressure, support staff perceive a change in duties and experience their own MH challenges, (3) the pandemic increased awareness about MH care provision and exposed systemic challenges, (4) digital transformation in MH is complex and has additional challenges for SAs and (5) there were some positive outcomes of the pandemic, lessons learnt and a resulting motivation for systems change. Participants highlighted future opportunities for MH provision in elite university sport settings. Four recommendations were generated from the results.

Variation in the stringency of COVID-19 public health measures on self-reported health, stress, and overall wellbeing in Canada.

Evidence is building regarding the association between government implemented public health measures aimed at combating COVID-19 and their impacts on health. This study investigated the relationship between the stringency of public health measures implemented in Canada and self-reported mental health, physical health, stress, and wellbeing among a random sample of 6647 Canadians 18 years of age and older. The analysis was based on self-reported health data from the Canadian Perspectives on Environmental Noise Survey. This data was combined with the Oxford COVID-19 Government Response Tracker database, which included overall stringency index (SI), and four of its sub-components, i.e., school and business closures, restrictions on gatherings, and stay at home policies. Adjusted multivariate logistic regression models indicated that the magnitude of the overall SI was associated with higher or lower odds of reporting worse physical health, mental health, stress and/or overall wellbeing, depending on the measure evaluated. Similarly, policy directed at the four sub-components had varying impacts on the odds of reporting worse health, depending on the sub-component, the strength of the policy restriction, and the health outcome evaluated. The association between the strength of the public health measures and self-reported health, and how this may inform future policy, is discussed.

A panel dataset of COVID-19 vaccination policies in 185 countries.

We present a panel dataset of COVID-19 vaccine policies, with data from 01 January 2020 for 185 countries and a number of subnational jurisdictions, reporting on vaccination prioritization plans, eligibility and availability, cost to the individual and mandatory vaccination policies. For each of these indicators, we recorded who is targeted by a policy using 52 standardized categories. These indicators document a detailed picture of the unprecedented scale of international COVID-19 vaccination rollout and strategy, indicating which countries prioritized and vaccinated which groups, when and in what order. We highlight key descriptive findings from these data to demonstrate uses for the data and to encourage researchers and policymakers in future research and vaccination planning. Numerous patterns and trends begin to emerge. For example: 'eliminator' countries (those that aimed to prevent virus entry into the country and community transmission) tended to prioritize border workers and economic sectors, while 'mitigator' countries (those that aimed to reduce the impact of community transmission) tended to prioritize the elderly and healthcare sectors for the first COVID-19 vaccinations; high-income countries published prioritization plans and began vaccinations earlier than low- and middle-income countries. Fifty-five countries were found to have implemented at least one policy of mandatory vaccination. We also demonstrate the value of combining this data with vaccination uptake rates, vaccine supply and demand data, and with further COVID-19 epidemiological data.

Implications of the COVID-19 pandemic on self-reported health status and noise annoyance in rural and non-rural Canada.

The Canadian Perspectives on Environmental Noise Survey (CPENS), conducted between April 12th, 2021 and May 25th, 2021 coincided with the third wave of the COVID-19 pandemic. Canadians 18 years of age and older (n = 6647) reported the degree to which the pandemic affected their physical health, mental health, stress, annoyance toward environmental and indoor noise, and overall well-being. Depending on the outcome evaluated, between 18 and 67% of respondents reported the measure as "somewhat" or "much worse" due to the pandemic. Stress was most affected, followed by mental health, overall well-being, physical health, annoyance toward environmental noise and annoyance toward indoor noise. Logistic regression models indicated that province, geographic region (rural/remote, suburban, urban), age, gender, poor physical/mental health, heart disease, a history of high sleep disturbance (in general) or diagnosed sleep disorders, anxiety/depression, working/schooling from home, and being retired significantly impacted the odds of reporting a worsening by the pandemic to varying degrees and directions, depending on the outcome. Indigenous status was unrelated to any of the modelled outcomes. Future research could address some of the noted study limitations and provide the data to determine if the observations on the reported measures of health are temporary, or long-lasting.

A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker).

COVID-19 has prompted unprecedented government action around the world. We introduce the Oxford COVID-19 Government Response Tracker (OxCGRT), a dataset that addresses the need for continuously updated, readily usable and comparable information on policy measures. From 1 January 2020, the data capture government policies related to closure and containment, health and economic policy for more than 180 countries, plus several countries' subnational jurisdictions. Policy responses are recorded on ordinal or continuous scales for 19 policy areas, capturing variation in degree of response. We present two motivating applications of the data, highlighting patterns in the timing of policy adoption and subsequent policy easing and reimposition, and illustrating how the data can be combined with behavioural and epidemiological indicators. This database enables researchers and policymakers to explore the empirical effects of policy responses on the spread of COVID-19 cases and deaths, as well as on economic and social welfare.

Telehealth transformation: COVID-19 and the rise of virtual care.

The novel coronavirus disease-19 (COVID-19) pandemic has altered our economy, society, and healthcare system. While this crisis has presented the U.S. healthcare delivery system with unprecedented challenges, the pandemic has catalyzed rapid adoption of telehealth, or the entire spectrum of activities used to deliver care at a distance. Using examples reported by U.S. healthcare organizations, including ours, we describe the role that telehealth has played in transforming healthcare delivery during the 3 phases of the U.S. COVID-19 pandemic: (1) stay-at-home outpatient care, (2) initial COVID-19 hospital surge, and (3) postpandemic recovery. Within each of these 3 phases, we examine how people, process, and technology work together to support a successful telehealth transformation. Whether healthcare enterprises are ready or not, the new reality is that virtual care has arrived.

Data and knowledge standards for learning health: A population management example using chronic kidney disease.

The widespread creation of learning health care systems (LHSs) will depend upon the use of standards for data and knowledge representation. Standards can facilitate the reuse of approaches for the identification of patient cohorts and the implementation of interventions. Standards also support rapid evaluation and dissemination across organizations. Building upon widely-used models for process improvement, we identify specific LHS activities that will require data and knowledge standards. Using chronic kidney disease (CKD) as an example, we highlight the specific data and knowledge requirements for a disease-specific LHS cycle, and subsequently identify areas where standards specifications, clarification, and tools are needed. The current data standards for CKD population management recommendations were found to be partially ambiguous, leading to barriers in phenotyping, risk identification, patient-centered clinical decision support, patient education needs, and care planning. Robust tools are needed to effectively identify patient health care needs and preferences and to measure outcomes that accurately depict the multiple facets of CKD. This example presents an approach for defining the specific data and knowledge representation standards required to implement condition-specific population health management programs. These standards specifications can be promoted by disease advocacy and professional societies to enable the widespread design, implementation, and evaluation of evidence-based health interventions, and the subsequent dissemination of experience in different settings and populations.