What is the role of primary care in the COVID-19 vaccine roll-out and the barriers and facilitators to an equitable vaccine roll-out? A rapid scoping review of nine jurisdictions.

OBJECTIVES: This study aimed to: (1) examine the experience of nine global jurisdictions that engaged primary care providers (PCPs) to administer COVID-19 vaccines during the pandemic; (2) describe how vaccine hesitancy and principles of equity were incorporated in the COVID-19 vaccine roll-out strategies and (3) identify the barriers and facilitators to the vaccine roll-out. DESIGN: Rapid scoping review. DATA SOURCES: Searches took place in MEDLINE, CINAHL, Embase, the Cochrane Library, SCOPUS and PsycINFO, Google, and the websites of national health departments. Searches and analyses took place from May 2021 to July 2021. RESULTS: Sixty-two documents met the inclusion criteria (35=grey literature; 56% and 27=peer reviewed; 44%). This review found that the vaccine distribution approach started at hospitals in almost all jurisdictions. In some jurisdictions, PCPs were engaged at the beginning, and the majority included PCPs over time. In many jurisdictions, equity was considered in the prioritisation policies for various marginalised communities. However, vaccine hesitancy was not explicitly considered in the design of vaccine distribution approaches. The barriers to the roll-out of vaccines included personal, organisational and contextual factors. The vaccine roll-out strategy was facilitated by establishing policies and processes for pandemic preparedness, well-established and coordinated information systems, primary care interventions, adequate supply of providers, education and training of providers, and effective communications strategy. CONCLUSIONS: Empirical evidence is lacking on the impact of a primary care-led vaccine distribution approach on vaccine hesitancy, adoption and equity. Future vaccine distribution approaches need to be informed by further research evaluating vaccine distribution approaches and their impact on patient and population outcomes.

Characterizing the use of virtual care in primary care settings during the COVID-19 pandemic: a retrospective cohort study.

BACKGROUND: In March 2020, Canada implemented restrictions to curb viral transmission of COVID-19, which resulted in abrupt disruptions to conventional (in-person) clinical care. To retain continuity of care the delivery of primary care services shifted to virtual care. This study examined the nature of virtual visits, characterizing the use and users of virtual care in primary care settings from March 14/20 to June 30/20 of the COVID-19 pandemic.  METHODS: Retrospective cohort study of primary care providers in Manitoba, Canada that participate in the Manitoba Primary Care Research Network (MaPCReN) and offered ≥ 1 virtual care visit between 03/14/20 and 06/30/20 representing 142,616 patients. Tariff codes from billing records determined the visit type (clinic visit, virtual care). Between 03/14/20, and 06/30/20, we assessed each visit for a follow-up visit between the same patient and provider for the same diagnosis code. Patient (sex, age, comorbidities, visit frequency, prescriptions) and provider (sex, age, clinic location, provider type, remuneration, country of graduation, return visit rate) characteristics describe the study population by visit type. Generalized estimating equation models describe factors associated with virtual care.  RESULTS: There were 146,372 visits provided by 154 primary care providers between 03/14/20 and 06/30/20, of which 33.6% were virtual care. Female patients (OR 1.16, CI 1.09-1.22), patients with ≥ 3 comorbidities (OR 1.71, CI 1.44-2.02), and patients with ≥ 10 prescriptions (OR 2.71, 2.2-1.53) had higher odds of receiving at least one virtual care visit compared to male patients, patients with no comorbidities and patients with no prescriptions. There was no significant difference between the number of follow-up visits that were provided as a clinic visit compared to a virtual care visit (8.7% vs. 5.8%) (p = 0.6496). CONCLUSION: Early in the pandemic restrictions, approximately one-third of visits were virtual. Virtual care was utilized by patients with more comorbidities and prescriptions, suggesting that patients with chronic disease requiring ongoing care utilized virtual care. Virtual care as a primary care visit type continues to evolve. Ongoing provision of virtual care can enhance quality, patient-centered care moving forward.

Discovering Long COVID Symptom Patterns: Association Rule Mining and Sentiment Analysis in Social Media Tweets.

BACKGROUND: The COVID-19 pandemic is a substantial public health crisis that negatively affects human health and well-being. As a result of being infected with the coronavirus, patients can experience long-term health effects called long COVID syndrome. Multiple symptoms characterize this syndrome, and it is crucial to identify these symptoms as they may negatively impact patients' day-to-day lives. Breathlessness, fatigue, and brain fog are the 3 most common continuing and debilitating symptoms that patients with long COVID have reported, often months after the onset of COVID-19. OBJECTIVE: This study aimed to understand the patterns and behavior of long COVID symptoms reported by patients on the Twitter social media platform, which is vital to improving our understanding of long COVID. METHODS: Long COVID-related Twitter data were collected from May 1, 2020, to December 31, 2021. We used association rule mining techniques to identify frequent symptoms and establish relationships between symptoms among patients with long COVID in Twitter social media discussions. The highest confidence level-based detection was used to determine the most significant rules with 10% minimum confidence and 0.01% minimum support with a positive lift. RESULTS: Among the 30,327 tweets included in our study, the most frequent symptoms were brain fog (n=7812, 25.8%), fatigue (n=5284, 17.4%), breathing/lung issues (n=4750, 15.7%), heart issues (n=2900, 9.6%), flu symptoms (n=2824, 9.3%), depression (n=2256, 7.4%) and general pains (n=1786, 5.9%). Loss of smell and taste, cold, cough, chest pain, fever, headache, and arm pain emerged in 1.6% (n=474) to 5.3% (n=1616) of patients with long COVID. Furthermore, the highest confidence level-based detection successfully demonstrates the potential of association analysis and the Apriori algorithm to establish patterns to explore 57 meaningful relationship rules among long COVID symptoms. The strongest relationship revealed that patients with lung/breathing problems and loss of taste are likely to have a loss of smell with 77% confidence. CONCLUSIONS: There are very active social media discussions that could support the growing understanding of COVID-19 and its long-term impact. These discussions enable a potential field of research to analyze the behavior of long COVID syndrome. Exploratory data analysis using natural language processing methods revealed the symptoms and medical conditions related to long COVID discussions on the Twitter social media platform. Using Apriori algorithm-based association rules, we determined interesting and meaningful relationships between symptoms.

Examining virtual visit use during a pandemic and perspectives of primary care providers, patients and caregivers: a mixed-methods research protocol

Introduction COVID-19 prompted rapid shifts to virtual primary care;however, the secondary implications and ideal applications of this change require further consideration. Patient and public stakeholder input has been bypassed. To integrate virtual care (VC) in what currently appears to be a lengthier battle against COVID-19 and related sequelae, further investigation is needed to support ideal implementation and use. This study aims to describe factors associated with the use of virtual visits in primary care practices, along with more in-depth description of users’ experiences and perspectives. Methods and analysis This study will be conducted in three phases, using a mixed-methods approach and in consultation with community advisors. Phase 1 will analyse data from electronic medical records (EMRs) to characterise the use and users of VC in primary care during the early phase of the COVID-19 pandemic. Analysis will be primarily descriptive;regression modelling will assess associations between patient and provider factors with a virtual visit. In phase 2, we will use an EMR-facilitated process to automate the distribution of patient surveys within an estimated 10 clinics. These surveys aim to describe care experiences, transactional use and perspectives of VC. In phase 3, focus groups with patients, caregivers and primary care clinicians will seek more in-depth exploration of VC regarding accessibility of care, acceptability and perceptions of quality care. Interpretive phenomenological analysis will be used for thematic analysis. The framework method will employ a matrix structure to organise the data and to facilitate comparison, integration and further interpretation. Ethics and dissemination This study has been approved by the University of Manitoba’s Health Research Ethics Board (HS24197). A co-designed dissemination strategy will include reports and infographics to policymakers and the public, manuscripts and presentations to academic and clinician audiences, and contributions to a learning plan for professional development.

Diagnostic testing and vaccination for COVID-19 among First Nations, Metis and Inuit in Manitoba, Canada: protocol for a nations-based cohort study using linked administrative data

IntroductionDecades of research demonstrate that First Nations, Metis and Inuit (FN/M/I) populations have differential access to diagnostic and therapeutic healthcare. Emerging evidence shows that this continues to be the case during the SARS-CoV-2 pandemic. In an effort to rectify these differences in access to care, our team, which is co-led by FN/M/I partners, will generate and distribute evidence on COVID-19 diagnostic testing and vaccination in high-priority FN/M/I populations in Manitoba, with the goal of identifying system-level and individual-level factors that act as barriers to equitable care and thereby informing Indigenous-led public health responses.Methods and analysisOur nations-based approach focuses on FN/M/I populations with separate study arms for each group. Linked administrative health data on COVID-19 diagnostic testing and vaccinations are available on a weekly basis. We will conduct surveillance to monitor trends in testing and vaccination among each FN/M/I population and all other Manitobans, map the geographic distribution of these outcomes by health region and tribal council, and identify barriers to testing and vaccination to inform public health strategies. We will follow the course of the pandemic starting from January 2020 and report findings quarterly.Ethics and disseminationEthics approvals have been granted by the University of Manitoba Research Ethics Board and from each of our FN/M/I partners’ organisations. Our team is committed to engaging in authentic relationship-based research that follows First Nations, Metis and Inuit research ethics principles. Our FN/M/I partners will direct the dissemination of new information to leadership in their communities (health directors, community health organisations) and to decision-makers in the provincial Ministry of Health. We will also publish in open-access journals. The study will create ongoing capacity to monitor Manitoba’s pandemic response and ensure potential health inequities are minimised, with learnings applicable to other jurisdictions where detailed administrative data may not be available.

Stringency of containment and closures on the growth of SARS-CoV-2 in Canada prior to accelerated vaccine roll-out.

BACKGROUND: Many studies have examined the effectiveness of non-pharmaceutical interventions (NPIs) on SARS-CoV-2 transmission worldwide. However, less attention has been devoted to understanding the limits of NPIs across the course of the pandemic and along a continuum of their stringency. In this study, we explore the relationship between the growth of SARS-CoV-2 cases and an NPI stringency index across Canada before the accelerated vaccine roll-out. METHODS: We conducted an ecological time-series study of daily SARS-CoV-2 case growth in Canada from February 2020 to February 2021. Our outcome was a back-projected version of the daily growth ratio in a stringency period (i.e., a 10-point range of the stringency index) relative to the last day of the previous period. We examined the trends in case growth using a linear mixed-effects model accounting for stringency period, province, and mobility in public domains. RESULTS: Case growth declined rapidly by 20-60% and plateaued within the first month of the first wave, irrespective of the starting values of the stringency index. When stringency periods increased, changes in case growth were not immediate and were faster in the first wave than in the second. In the first wave, the largest decreasing trends from our mixed effects model occurred in both early and late stringency periods, depending on the province, at a geometric mean index value of 30⋅1 out of 100. When compared with the first wave, the stringency periods in the second wave possessed little association with case growth. CONCLUSIONS: The minimal association in the first wave, and the lack thereof in the second, is compatible with the hypothesis that NPIs do not, per se, lead to a decline in case growth. Instead, the correlations we observed might be better explained by a combination of underlying behaviors of the populations in each province and the natural dynamics of SARS-CoV-2. Although there exist alternative explanations for the equivocal relationship between NPIs and case growth, the onus of providing evidence shifts to demonstrating how NPIs can consistently have flat association, despite incrementally high stringency.

Geographic concentration of SARS-CoV-2 cases by social determinants of health in metropolitan areas in Canada: a cross-sectional study.

BACKGROUND: Understanding inequalities in SARS-CoV-2 transmission associated with the social determinants of health could help the development of effective mitigation strategies that are responsive to local transmission dynamics. This study aims to quantify social determinants of geographic concentration of SARS-CoV-2 cases across 16 census metropolitan areas (hereafter, cities) in 4 Canadian provinces, British Columbia, Manitoba, Ontario and Quebec. METHODS: We used surveillance data on confirmed SARS-CoV-2 cases and census data for social determinants at the level of the dissemination area (DA). We calculated Gini coefficients to determine the overall geographic heterogeneity of confirmed cases of SARS-CoV-2 in each city, and calculated Gini covariance coefficients to determine each city's heterogeneity by each social determinant (income, education, housing density and proportions of visible minorities, recent immigrants and essential workers). We visualized heterogeneity using Lorenz (concentration) curves. RESULTS: We observed geographic concentration of SARS-CoV-2 cases in cities, as half of the cumulative cases were concentrated in DAs containing 21%-35% of their population, with the greatest geographic heterogeneity in Ontario cities (Gini coefficients 0.32-0.47), followed by British Columbia (0.23-0.36), Manitoba (0.32) and Quebec (0.28-0.37). Cases were disproportionately concentrated in areas with lower income and educational attainment, and in areas with a higher proportion of visible minorities, recent immigrants, high-density housing and essential workers. Although a consistent feature across cities was concentration by the proportion of visible minorities, the magnitude of concentration by social determinant varied across cities. INTERPRETATION: Geographic concentration of SARS-CoV-2 cases was observed in all of the included cities, but the pattern by social determinants varied. Geographically prioritized allocation of resources and services should be tailored to the local drivers of inequalities in transmission in response to the resurgence of SARS-CoV-2.

Pediatric primary care in Ontario and Manitoba after the onset of the COVID-19 pandemic: a population-based study.

BACKGROUND: There were large disruptions to health care services after the onset of the COVID-19 pandemic. We sought to describe the extent to which pandemic-related changes in service delivery and access affected use of primary care for children overall and by equity strata in the 9 months after pandemic onset in Manitoba and Ontario. METHODS: We performed a population-based study of children aged 17 years or less with provincial health insurance in Ontario or Manitoba before and during the COVID-19 pandemic (Jan. 1, 2017-Nov. 28, 2020). We calculated the weekly rates of in-person and virtual primary care well-child and sick visits, overall and by age group, neighbourhood material deprivation level, rurality and immigrant status, and assessed changes in visit rates after COVID-19 restrictions were imposed compared to expected baseline rates calculated for the 3 years before pandemic onset. RESULTS: Among almost 3 million children in Ontario and more than 300 000 children in Manitoba, primary care visit rates declined to 0.80 (95% confidence interval [CI] 0.77-0.82) of expected in Ontario and 0.82 (95% CI 0.79-0.84) of expected in Manitoba in the 9 months after the onset of the pandemic. Virtual visits accounted for 53% and 29% of visits in Ontario and Manitoba, respectively. The largest monthly decreases in visits occurred in April 2020. Although visit rates increased slowly after April 2020, they had not returned to prerestriction levels by November 2020 in either province. Children aged more than 1 year to 12 years experienced the greatest decrease in visits, especially for well-child care. Compared to prepandemic levels, visit rates were lowest among rural Manitobans, urban Ontarians and Ontarians in low-income neighbourhoods. INTERPRETATION: During the study period, the pandemic contributed to rapid, immediate and inequitable decreases in primary care use, with some recovery and a substantial shift to virtual care. Postpandemic planning must consider the need for catch-up visits, and the long-term impacts warrant further study.

Interprofessional Disaster Simulation During the COVID-19 Pandemic: Adapting to Fully Online Learning.

BACKGROUND: This paper describes the rapid conversion of a face-to-face interprofessional (IP) disaster simulation to an online format in response to COVID-19 campus closures. METHODS: The online disaster simulation utilized internet-based tools allowing real-time collaboration between IP students. Team exercises involved disaster triage, disease outbreak investigation, and disaster response. Surveys measuring self-assessment of various IP skills and simulation learning outcomes (SLOs) were compared with responses from previous face-to-face simulations. RESULTS: Results indicated mean scores for IP skills were higher for online students when compared with in-person simulations, and all SLOs were met. CONCLUSIONS: The online disaster simulation provided an effective, innovative IP educational opportunity.

Increasing concentration of COVID-19 by socioeconomic determinants and geography in Toronto, Canada: an observational study.

BACKGROUND: Inequities in the burden of COVID-19 were observed early in Canada and around the world, suggesting economically marginalized communities faced disproportionate risks. However, there has been limited systematic assessment of how heterogeneity in risks has evolved in large urban centers over time. PURPOSE: To address this gap, we quantified the magnitude of risk heterogeneity in Toronto, Ontario from January to November 2020 using a retrospective, population-based observational study using surveillance data. METHODS: We generated epidemic curves by social determinants of health (SDOH) and crude Lorenz curves by neighbourhoods to visualize inequities in the distribution of COVID-19 and estimated Gini coefficients. We examined the correlation between SDOH using Pearson-correlation coefficients. RESULTS: Gini coefficient of cumulative cases by population size was 0.41 (95% confidence interval [CI]:0.36-0.47) and estimated for: household income (0.20, 95%CI: 0.14-0.28); visible minority (0.21, 95%CI:0.16-0.28); recent immigration (0.12, 95%CI:0.09-0.16); suitable housing (0.21, 95%CI:0.14-0.30); multigenerational households (0.19, 95%CI:0.15-0.23); and essential workers (0.28, 95%CI:0.23-0.34). CONCLUSIONS: There was rapid epidemiologic transition from higher- to lower-income neighborhoods with Lorenz curve transitioning from below to above the line of equality across SDOH. Moving forward necessitates integrating programs and policies addressing socioeconomic inequities and structural racism into COVID-19 prevention and vaccination programs.

Modeling the Impact of the COVID-19 Pandemic on First Nations, Metis, and Inuit Communities: Some Considerations

Objectives: This article articulates the complexity of modeling in First Nations, Metis, and Inuit contexts by providing the results of a modeling exercise completed at the request of the First Nations Health and Social Secretariat of Manitoba. Methods: We developed a model using the impact of a previous pandemic (the 2009 H1N1) to generate estimates. Results: The lack of readily available data has resulted in a model that assumes homogeneity of communities in terms of health status, behaviour, and infrastructure limitations. While homogeneity may be a reasonable assumption for province-wide planning, First Nation communities and Tribal Councils require more precise information in order to plan effectively. Metis and urban Inuit communities, in contrast, have access to much less information, making the role of Indigenous organizations mandated to serve the needs of these populations that much more difficult. Conclusion: For many years, Indigenous organizations have advocated for the need to have access to current and precise data to meet their needs. The COVID-19 pandemic demonstrates the importance of timely and accurate community-based data to support pandemic responses.

Confronting Racism within the Canadian Healthcare System: Systemic Exclusion of First Nations from Quality and Consistent Care.

The study is on racism against First Nation peoples in the Canadian healthcare system. The study design incorporates principles of grounded theory, participant and Indigenous (decolonizing) research. Four questions are addressed: (1) What is the root cause of racism against First Nation peoples in the healthcare system? (2) What factors perpetuate racisms existence? (3) What are the impacts of racism on First Nation health? (4) What needs to be done to eradicate racism and to create an equitable healthcare system that sufficiently represents the needs, interests and values of First Nation peoples?

Opportunity beckons for electronic medical record data

The Canadian Institutes of Health Research (CIHR) have embraced the learning health system (LHS) as a model for improving the health of Canadians to the extent that it has made the LHS a fundamental component of the CIHR's Strategy for Patient-Oriented Research (SPOR) SUPPORT Unit Phase II call for proposals. The call should have closed in May 2020 but has been delayed due to the COVID-19 pandemic. Only previously funded units are eligible to apply for renewal of their funding. The SPOR SUPPORT units will need to build or maintain "a data platform that incrementally adds relevant datasets within their jurisdiction and equitably provides that data to researchers, policy makers and other SPOR stakeholders, upon request and in a timely manner, in support of patient-oriented research." The potential of electronic medical record (EMR) data as a tool for improving patient care has been widely recognized at the practice-patient interface (the micro level), where initiatives such as the College of Family Physicians of Canada's Practice Improvement Initiative support family physicians in implementing quality improvement.