COVID-19 in long-term care homes in Ontario and British Columbia

Evaluating methods for risk prediction of Covid-19 mortality in nursing home residents before and after vaccine availability: a retrospective cohort study

BACKGROUND

SARS-CoV-2 vaccines are effective in reducing hospitalization, COVID-19 symptoms, and COVID-19 mortality for nursing home (NH) residents. We sought to compare the accuracy of various machine learning models, examine changes to model performance, and identify resident characteristics that have the strongest associations with 30-day COVID-19 mortality, before and after vaccine availability.

METHODS

We conducted a population-based retrospective cohort study analyzing data from all NH facilities across Ontario, Canada. We included all residents diagnosed with SARS-CoV-2 and living in NHs between March 2020 and July 2021. We employed five machine learning algorithms to predict COVID-19 mortality, including logistic regression, LASSO regression, classification and regression trees (CART), random forests, and gradient boosted trees. The discriminative performance of the models was evaluated using the area under the receiver operating characteristic curve (AUC) for each model using 10-fold cross-validation. Model calibration was determined through evaluation of calibration slopes. Variable importance was calculated by repeatedly and randomly permutating the values of each predictor in the dataset and re-evaluating the model's performance.

RESULTS

A total of 14,977 NH residents and 20 resident characteristics were included in the model. The cross-validated AUCs were similar across algorithms and ranged from 0.64 to 0.67. Gradient boosted trees and logistic regression had an AUC of 0.67 pre- and post-vaccine availability. CART had the lowest discrimination ability with an AUC of 0.64 pre-vaccine availability, and 0.65 post-vaccine availability. The most influential resident characteristics, irrespective of vaccine availability, included advanced age (≥ 75 years), health instability, functional and cognitive status, sex (male), and polypharmacy.

CONCLUSIONS

The predictive accuracy and discrimination exhibited by all five examined machine learning algorithms were similar. Both logistic regression and gradient boosted trees exhibit comparable performance and display slight superiority over other machine learning algorithms. We observed consistent model performance both before and after vaccine availability. The influence of resident characteristics on COVID-19 mortality remained consistent across time periods, suggesting that changes to pre-vaccination screening practices for high-risk individuals are effective in the post-vaccination era.

The impact of the COVID-19 pandemic on longitudinal trends of surgical mortality and inpatient quality of care in Ontario, Canada

AIMS

Previous studies have shown the COVID-19 pandemic was associated with reductions in volume across a spectrum of non-SARS-CoV-2 hospitalizations. In the present study, we examine the impact of the pandemic on patient safety and quality of care.

DESIGN

This is a retrospective population-based study of discharge abstracts.

METHODS

We applied a set of nationally validated indicators for measuring the quality of inpatient care to hospitalizations in Ontario, Canada between January 2010 and December 2022. We measured 90-day mortality after selected types of higher risk admissions (such as cancer surgery and cardiovascular emergency) and the rate of patient harm events (such as delirium, pressure injuries and hospital-acquired infections) occurring during the hospital stay.

RESULTS

A total 13,876,377 hospitalization episodes were captured. Compared with the pre-pandemic period, and independent of SARS-CoV-2 infection, the pandemic period was associated with higher rates of mortality after bladder cancer resection (adjusted risk ratio [aRR] 1.20 (1.07-1.34)) and open repair for abdominal aortic aneurysm (aRR 1.45 (1.06-1.99)). The pandemic was also associated with higher rates of delirium (adjusted odds ratio [aOR] 1.04 (1.02-1.06)), venous thromboembolism (aOR 1.10 (1.06-1.13)), pressure injuries (aOR 1.28 (1.24-1.33)), aspiration pneumonitis (aOR 1.15 (1.12-1.18)), urinary tract infections (aOR 1.02 (1.01-1.04)), Clostridiodes difficile infection (aOR 1.05 (1.02-1.09)), pneumothorax (aOR 1.08 (1.03-1.13)), and use of restraints (aOR 1.12 (1.10-1.14)), but was associated with lower rates of viral gastroenteritis (aOR 0.22 (0.18-0.28)). During the pandemic, SARS-CoV-2-positive admissions were associated with a higher likelihood of various harm events.

CONCLUSION

The COVID-19 pandemic was associated with higher rates of patient harm for a wide range of non-SARS-CoV-2 inpatient populations.

IMPACT

Understanding which quality measures are improving or deteriorating can help health systems prioritize quality improvement initiatives.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

A cohort study of patients hospitalised with SARS-CoV-2 infection in Ontario: patient characteristics and outcomes by wave

INTRODUCTION

Each wave of the COVID-19 pandemic exhibited a unique combination of epidemiological, social and structural characteristics. We explore similarities and differences in wave-over-wave characteristics of patients hospitalised with COVID-19.

METHODS

This was a population-based study in Ontario province, Canada. Patients hospitalised with SARS-CoV-2 between 26 February 2020 and 31 March 2022 were included. An admission was considered related to SARS-CoV-2 infection if the provincial inpatient or outpatient hospital databases contained the ICD-10 diagnostic codes U071/U072 or the Ontario Laboratories Information System indicated a positive SARS-CoV-2 test result (PCR or rapid antigen testing) during the admission or up to two weeks prior. The primary outcome was 90-day mortality (modified Poisson regression). Secondary outcomes were use of critical care during the admission (logistic regression) and total length-of-stay (linear regression with heteroskedastic-consistent standard-error estimators). All models were adjusted for demographic characteristics, neighbourhood socioeconomic factors and indicators of illness severity.

RESULTS

There were 73,201 SARS-CoV-2-related admissions: 6127 (8%) during wave 1 (wild-type), 14,371 (20%) during wave 2 (wild-type), 16,653 (23%) during wave 3 (Alpha), 5678 (8%) during wave 4 (Delta) and 30,372 (42%) during wave 5 (Omicron). SARS-CoV-2 was the most responsible diagnosis for 70% of admissions during waves 1-2 and 42% in wave 5. The proportion of admitted patients who were long-term care residents was 18% (n = 1111) during wave 1, decreasing to 10% (n = 1468) in wave 2 and <5% in subsequent waves. During waves 1-3, 46% of all admitted patients resided in a neighbourhood assigned to the highest ethnic diversity quintile, which declined to 27% during waves 4-5. Compared to wave 1, 90-day mortality was similar during wave 2 (adjusted risk ratio [aRR]: 1.00 [95% CI: 0.95-1.04]), but lower during wave 3 (aRR: 0.89 [0.85-0.94]), wave 4 (aRR: 0.85 [0.79-0.91]) and wave 5 (aRR: 0.83 [0.80-0.88]). Improvements in survival over waves were observed among elderly patients (p-interaction <0.0001). Critical care admission was significantly less likely during wave 5 than previous waves (adjusted odds ratio: 0.50 [0.47-0.54]). The length of stay was a median of 8.5 (3.6-23.8) days during wave 1 and 5.3 (2.2-12.6) during wave 5. After adjustment, the mean length of stay was on average -10.4 (-11.1 to -9.8) days, i.e. shorter, in wave 5 vs wave 1.

CONCLUSION

Throughout the pandemic, sociodemographic characteristics of patients hospitalised with SARS-CoV-2 changed over time, particularly in terms of ethnic diversity, but still disproportionately affected patients from more marginalised regions. Improved survival and reduced use of critical care during the Omicron wave are reassuring.

Social Connectedness Between Family Caregivers and Older Adults Living in Long-Term Care Homes in the Context of COVID-19

The coronavirus disease (COVID-19) pandemic and resulting restrictions on physical access to long-term care homes culminated in health declines for older adults living there and their families. Knowledge gaps exist regarding maintaining social connectedness when physically separated. The study aimed to explore family members' perceptions of the impact that restrictions on physical access to long-term care homes had on the experience of social connectedness between family members and older adults living in long-term care. The method used was a qualitative description, using in-depth semi-structured interviews. Themes arising from inductive qualitative content analysis of 21 interviews with family members included: (a) lack of connection threatening mental, emotional health, and physical health; (b) navigating trust in the unknown; (c) feelings of stress and anxiety for family members; and (d) technology - an asset, but not for everyone. Study findings suggest more emphasis should be placed on supporting social connections between older adults and their families in the context of long-term care beyond COVID-19.

The impact of the COVID-19 pandemic on transfers between long-term care and emergency departments across Alberta

BACKGROUND

Long-term care (LTC) was overwhelmingly impacted by COVID-19 and unnecessary transfer to emergency departments (ED) can have negative health outcomes. This study aimed to explore how the COVID-19 pandemic impacted LTC to ED transfers and hospitalizations, utilization of community paramedics and facilitated conversations between LTC and ED physicians during the first four waves of the pandemic in Alberta, Canada.

METHODS

In this retrospective population-based study, administrative databases were linked to identify episodes of care for LTC residents who resided in facilities in Alberta, Canada. This study included data from January 1, 2018 to December 31, 2021 to capture outcomes prior to the onset of the pandemic and across the first four waves. Individuals were included if they visited an emergency department, received care from a community paramedic or whose care involved a facilitated conversation between LTC and ED physicians during this time period.

RESULTS

Transfers to ED and hospitalizations from LTC have been gradually declining since 2018 with a sharp decline seen during wave 1 of the pandemic that was greatest in the lowest-priority triage classification (CTAS 5). Community paramedic visits were highest during the first two waves of the pandemic before declining in subsequent waves; facilitated calls between LTC and ED physicians increased during the waves.

CONCLUSIONS

There was a reduction in number of transfers from LTC to EDs and in hospitalizations during the first four waves of the pandemic. This was supported by increased conversations between LTC and ED physicians, but was not associated with increased community paramedic visits. Additional work is needed to explore how programs such as community paramedics and facilitated conversations between LTC and ED providers can help to reduce unnecessary transfers to hospital.

"Picturing a Way Forward": Strategies to Manage the Effects of COVID-19-Related Isolation on Long-Term Care Residents and Their Informal Caregivers

BACKGROUND AND OBJECTIVES

Strategies to manage the coronavirus disease 2019 (COVID-19) pandemic included widespread use of physical distancing measures. These well-intended strategies adversely affected long-term care (LTC) residents' socialization and their caregiving arrangements, leading to exacerbation of social isolation and emotional distress for both residents and their caregivers. This study aimed to understand how these measures affected informal caregivers of people living in LTC homes in Ontario. Strategies to increase socialization and promote social connection during and post-COVID-19 were also explored.

RESEARCH DESIGN AND METHODS

This qualitative study used descriptive and photovoice approaches. Of the 9 potential caregivers identified, 6 participated in the study and shared their experiences and photographic reflections in virtual focus group sessions.

RESULTS

Findings highlighted the increased social isolation experienced by people living in LTC and their caregivers during COVID-19. Caregivers reported pronounced declines in residents' well-being and were frustrated by challenges connecting with their family members during quarantine. Attempts made by LTC homes to maintain social connections, such as window visits and video calls, did not fulfill the social needs of residents and their caregivers.

DISCUSSION AND IMPLICATIONS

Findings underscore a need for better social support and resources for both LTC residents and their caregivers going forward to prevent further isolation and disengagement. Even in times of lockdown, LTC homes must implement policies, services, and programs that promote meaningful engagement for older adults and their families.

Resident Impact of the Single Site Order Restricting Staff Mobility across Long-Term Care Homes in British Columbia, Canada

The Single Site Order (SSO)-a policy restricting staff from working at multiple long-term care (LTC) homes-was mandated by the Public Health Agency of Canada to control the spread of COVID-19 in LTC homes, where nearly 70% of COVID-19-related deaths in Canada occurred. This mixed methods study assesses the impact of the SSO on LTC residents in British Columbia. Interviews were conducted (residents (n = 6), family members (n = 9), staff (n = 18), and leadership (n = 10) from long-term care homes (n = 4)) and analyzed using thematic analysis. Administrative data were collected between April 2019 and March 2020 and between April 2020 and March 2021 and analyzed using descriptive statistics and data visualization. Qualitative and quantitative data were triangulated and demonstrated that staffing challenges became worse during the implementation of the SSO, resulting in the mental and physical health deterioration of LTC residents. Qualitative data demonstrated decreased time for personalized and proactive care, increased communication challenges, and increased loneliness and isolation. Quantitative data showed a decline in activities of daily living, increased antipsychotic medication use, pressure ulcers, behavioural symptoms, and an increase in falls. Addressing staff workload and staffing shortages during SSO-related policy implementation is essential to avoid resident health deterioration.

Multi-Level Factors Associated with Relationship-Centred and Task-Focused Mealtime Practices in Long-Term Care: A Secondary Data Analysis of the Making the Most of Mealtimes Study

Mealtimes in long-term care (LTC) can reinforce relationships between staff and residents through relationship-centred care (RCC) practices; however, meals are often task-focused (TF). This cross-sectional study explores multi-level contextual factors that contribute to RCC and TF mealtime practices. Secondary data from residents in 32 Canadian LTC homes were analyzed (n = 634; mean age 86.7 ± 7.8; 31.1% male). Data included resident health record review, standardized mealtime observation tools, and valid questionnaires. A higher average number of RCC (9.6 ± 1.4) than TF (5.6 ± 2.1) practices per meal were observed. Multi-level regression revealed that a significant proportion of variation in the RCC and TF scores was explained at the resident- (intraclass correlation coefficient [ICC]RCC = 0.736; ICCTF = 0.482), dining room- (ICCRCC = 0.210; ICCTF = 0.162), and home- (ICCRCC = 0.054; ICCTF = 0.356) levels. For-profit status and home size modified the associations between functional dependency and practices. Addressing multi-level factors can reinforce RCC practices and reduce TF practices.

Machine learning risk estimation and prediction of death in continuing care facilities using administrative data

In this study, we aimed to identify the factors that were associated with mortality among continuing care residents in Alberta, during the coronavirus disease 2019 (COVID-19) pandemic. We achieved this by leveraging and linking various administrative datasets together. Then, we examined pre-processing methods in terms of prediction performance. Finally, we developed several machine learning models and compared the results of these models in terms of performance. We conducted a retrospective cohort study of all continuing care residents in Alberta, Canada, from March 1, 2020, to March 31, 2021. We used a univariable and a multivariable logistic regression (LR) model to identify predictive factors of 60-day all-cause mortality by estimating odds ratios (ORs) with a 95% confidence interval. To determine the best sensitivity-specificity cut-off point, the Youden index was employed. We developed several machine learning models to determine the best model regarding performance. In this cohort study, increased age, male sex, symptoms, previous admissions, and some specific comorbidities were associated with increased mortality. Machine learning and pre-processing approaches offer a potentially valuable method for improving risk prediction for mortality, but more work is needed to show improvement beyond standard risk factors.

Lessons learned from the experiences and perspectives of frontline healthcare workers on the COVID-19 response: a qualitative descriptive study

BACKGROUND

During the COVID-19 pandemic, healthcare systems and healthcare workers (HCWs) faced significant demands and unique challenges. In this qualitative study, we explore the effects of the COVID-19 public health policies on British Columbia's frontline HCWs, describe what worked in the management of the pandemic, and elucidate the lessons learned that could be applied to future pandemic preparedness, recovery and response.

METHODS

This qualitative descriptive study is part of a larger, national multi-case study on pandemic policy communication and uptake. Semi-structured interviews were conducted from November 2020- June 2021 with fourteen HCWs working in long-term care (LTC), acute care and public health settings. Data were inductively coded, and analyzed following a resilience framework for public health emergency preparedness, which emphasizes the essential elements of a public health system, vital to all phases of health emergency management, readiness, response and recovery.

RESULTS

HCWs experienced confusion, frustration, uncertainty, anxiety, fatigue and stress, during the pandemic and detailed challenges that affected policy implementation. This included communication and coordination inconsistencies between the province and regional health authorities; lack of involvement of frontline staff in pandemic planning; inadequate training and support; inadequate personal protective equipment resource capacity and mobilization; and staffing shortages. HCWs recommended increased collaboration between frontline staff and policy makers, investment in preparing and practicing pandemic plans, and the need for training in emergency management and infection prevention and control.

CONCLUSIONS

Pandemic planning, response and recovery should include inputs from actors/key stakeholders at the provincial, regional and local levels, to facilitate better coordination, communication and outcomes. Also, given the critical roles of frontline HCWs in policy implementation, they should be adequately supported and consideration must be given to how they interpret and act on policies. Bi-directional communication channels should be incorporated between policymakers and frontline HCWs to verify the appropriate adoption of policies, reflective learning, and to ensure policy limitations are being communicated and acted upon by policy makers.

Perceptions of Palliative and End-Of-Life Care Capacity Among Frontline Staff and Administrators in Long-Term Care Homes During the COVID-19 Pandemic in Ontario, Canada: A Mixed-Methods Evaluation

OBJECTIVES

The COVID-19 pandemic has greatly affected the morbidity and mortality of residents in long-term care (LTC) homes. However, not much is known about its impact on staff's perception of their capacity to provide palliative and end-of-life (EOL) care for LTC residents over the course of the pandemic. We investigated changes in self-reported confidence among LTC workers and their experience in providing palliative and EOL care to residents before and during the COVID-19 pandemic.

DESIGN

Mixed-methods evaluation using a survey (n = 19) and semistructured interviews (n = 28).

SETTING AND PARTICIPANTS

Frontline workers from 9 LTC homes who participated in Communication at End-of-Life Program in Ontario, Canada, between August 2019 and March 2020.

METHODS

The survey captured LTC staff's confidence level, including attitudes toward death and dying; relationships with residents and families; and participation in palliative and EOL care. The interviews identified facilitators and barriers to providing palliative and EOL care during the pandemic.

RESULTS

The COVID-19 pandemic negatively impacted frontline LTC staff's confidence in their role as palliative care providers. Participants also reported notable challenges to providing resident-centered palliative and EOL care. Specifically, visitation restriction has led to increased loneliness and isolation of residents and impeded staff's ability to build supportive relationships with families. Furthermore, staffing shortages due to the single-site work restriction and illness increased workload. Psychological stress caused by a fear of COVID-19 infection and transmission also hindered staff's capacity to provide good palliative and EOL care.

CONCLUSIONS AND IMPLICATIONS

Frontline LTC staff-even those who felt competent in their knowledge and skills in providing palliative and EOL care after receiving training-reported notable difficulties in providing resident-centered palliative and EOL care during the COVID-19 pandemic.

Annexin A5 in Patients With Severe COVID-19 Disease: A Single-Center, Randomized, Double-Blind, Placebo-Controlled Feasibility Trial

OBJECTIVES

To evaluate the study design and feasibility of drug administration and safety in a randomized clinical trial of recombinant human annexin A5 (SY-005), a constitutively expressed protein with anti-inflammatory, antiapoptotic, and anticoagulant properties, in patients with severe coronavirus disease 2019 (COVID-19).

DESIGN

Double-blind, randomized clinical trial.

SETTING

Two ICUs at an academic medical center.

PATIENTS/SUBJECTS

Adults admitted to the ICU with a confirmed diagnosis of COVID-19 and requiring ventilatory or vasopressor support.

INTERVENTIONS

SY-005, a recombinant human annexin A5, at 50 or 100 µg/kg IV every 12 hours for 7 days.

MEASUREMENTS AND MAIN RESULTS

We enrolled 18 of the 55 eligible patients (33%) between April 21, 2021, and February 3, 2022. We administered 82% (196/238) of the anticipated doses of study medication and 86% (169/196) were given within 1 hour of the scheduled time. There were no drug-related serious adverse events. We captured 100% of the data that would be required for measuring clinical outcomes in a phase 2 or 3 trial.

LIMITATIONS

The small sample size was a result of decreasing admissions of patients with COVID-19, which triggered a stopping rule for the trial.

CONCLUSIONS

Although enrollment was low, administration of SY-005 to critically ill patients with COVID-19 every 12 hours for up to 7 days was feasible and safe. Further clinical trials of annexin A5 for the treatment of COVID-19 are warranted. Given reduction of severe COVID-19 disease, future studies should explore the safety and effectiveness of SY-005 use in non-COVID-related sepsis.

Beyond crisis? Using rent theory to understand the restructuring of publicly funded seniors' care in British Columbia, Canada

Crises of seniors' care in countries like the UK and Canada, further highlighted by the COVID-19 pandemic, have been connected to processes of privatization and financialization. In this paper I argue that rent theory is important for disaggregating mechanisms, including of accumulation by dispossession, the devaluation of labour, and assetization, that underpin the process of financialization in the sector. Work on rents often divides between critical approaches, especially to land rent, and mainstream institutionalist and public choice approaches to rent-seeking. Critical rent theory is evolving beyond this divide to understand a broader range of types of rent. Yet, despite attention to the increasing importance of economic rents and forms of rentierism, labour and social reproduction are often excluded from the analysis of how rent relations arise. This paper demonstrates the problems with these exclusions. The argument is illustrated through an analysis of the restructuring of eldercare in British Columbia, Canada, in the last two decades, and employs a feminist political economy approach to examine the social production of rent relations.

How do South Asian seniors in a large Canadian city perceive long-term care?

OBJECTIVE

To understand how community-dwelling South Asian older adults understand and envision long-term care (LTC).

DESIGN

Descriptive qualitative study.

SETTING

The Region of Waterloo in Ontario.

PARTICIPANTS

Participants included 3 key informants (geriatrician, social worker, and medical translator, all South Asian), 1 family caregiver, and 15 community-dwelling South Asian adults aged 65 and older.

METHODS

In-depth interviews and focus groups were recorded, transcribed verbatim, and analyzed using a framework analysis approach.

MAIN FINDINGS

High-level themes included the emotional impacts of failure to provide culturally competent care, such as fear and isolation; a desire for a model of culturally competent care with an emphasis on food and language; and the need for LTC to be more integrated with the broader community and connected to families.

CONCLUSION

As the delivery of LTC is rethought in this country, there is the potential to deliver on the promise of culturally competent care for this growing population. These findings are among the first to communicate the LTC care needs of South Asian older adults in their own words.

Impact of the single site order in LTC: exacerbation of an overburdened system

BACKGROUND

The long-term care (LTC) sector has been at the epicentre of COVID-19 in Canada. This study aimed to understand the impact that the Single Site Order (SSO) had on staff and leadership in four LTC homes in the Lower Mainland of British Columbia, Canada.

METHODS

A mixed method study was conducted by analyzing administrative staffing data. Overtime, turnover, and job vacancy data were extracted and analyzed from four quarters before (April 2019 - March 2020) and four quarters during the pandemic (April 2020 - March 2021) using scatterplots and two-part linear trendlines across total direct care nursing staff and by designation (i.e., registered nurses (RNs), licenced practical nurses (LPNs) and care aids (CAs)). Virtual interviews were conducted with a purposive sample of leadership (10) and staff (18) from each of the four partner care homes (n = 28). Transcripts were analyzed in NVivo 12 using thematic analysis.

RESULTS

Quantitative data indicated that the total overtime rate increased from before to during the pandemic, with RNs demonstrating the steepest rate increase. Additionally, while rates of voluntary turnover showed an upward trend before the pandemic for all direct care nursing staff, the rate for LPNs and, most drastically, for RNs was higher during the pandemic, while this rate decreased for CAs. Qualitative analysis identified two main themes and sub-themes: (1) overtime (loss of staff, mental health, and sick leave) and (2) staff turnover (the need to train new staff, and gender/race) as the most notable impacts associated with the SSO.

CONCLUSIONS

The results of this study indicate that the outcomes due to COVID-19 and the SSO are not equal across nursing designations, with the RN shortage in the LTC sector highly evident. Quantitative and qualitative data underscore the substantial impact the pandemic and associated policies have on the LTC sector, namely, that staff are over-worked and care homes are understaffed.

Long-Term Care Resident Health and Quality of Care During the COVID-19 Pandemic: A Synthesis Analysis of Canadian Institute for Health Information Data Tables

Objective

Long-term care (LTC) homes ("nursing homes") were challenged during the first year of the COVID-19 pandemic in Canada. The objective of this study was to measure the impact of the COVID-19 pandemic on resident admission and discharge rates, resident health attributes, treatments, and quality of care.

Design

Synthesis analysis of "Quick Stats" standardized data table reports published yearly by the Canadian Institute for Health Information. These reports are a pan-Canadian scorecard of LTC services rendered, resident health characteristics, and quality indicator performance.

Setting and participants

LTC home residents in Alberta, British Columbia, Manitoba, and Ontario, Canada that were assessed with the interRAI Minimum Data Set 2.0 comprehensive health assessment in fiscal years 2018/2019, 2019/2020 (pre-pandemic period), and 2020/2021 (pandemic period).

Methods

Risk ratio statistics were calculated to compare admission and discharge rates, validated interRAI clinical summary scale scores, medication, therapy and treatment provision, and seventeen risk-adjusted quality indicator rates from the pandemic period relative to prior fiscal years.

Results

Risk of dying in the LTC home was greater in all provinces (risk ratio [RR] range 1.06-1.18) during the pandemic. Quality of care worsened substantially on 6 of 17 quality indicators in British Columbia and Ontario, and 2 quality indicators in Manitoba and Alberta. The only quality indicator where performance worsened during the pandemic in all provinces was the percentage of residents that received antipsychotic medications without a diagnosis of psychosis (RR range 1.01-1.09).

Conclusions and implications

The COVID-19 pandemic has unveiled numerous areas to strengthen LTC and ensure that resident's physical, social, and psychological needs are addressed during public health emergencies. Except an increase in potentially inappropriate antipsychotic use, this provincial-level analysis indicates that most aspects of resident care were maintained during the first year of the COVID-19 pandemic.

Comparing Health Workforce Policy during a Major Global Health Crisis: A Critical Conceptual Debate and International Empirical Investigation

BACKGROUND

The health workforce is central to healthcare systems and population health, but marginal in comparative health policy. This study aims to highlight the crucial relevance of the health workforce and contribute comparative evidence to help improve the protection of healthcare workers and prevention of inequalities during a major public health crisis.

METHODS

Our integrated governance framework considers system, sector, organizational and socio-cultural dimensions of health workforce policy. The COVID-19 pandemic serves as the policy field and Brazil, Canada, Italy, and Germany as illustrative cases. We draw on secondary sources (literature, document analysis, public statistics, reports) and country expert information with a focus on the first COVID-19 waves until the summer of 2021.

RESULTS

Our comparative investigation illustrates the benefits of a multi-level governance approach beyond health system typologies. In the selected countries, we found similar problems and governance gaps concerning increased workplace stress, lack of mental health support, and gender and racial inequalities. Health policy across countries failed to adequately respond to the needs of HCWs, thus exacerbating inequalities during a major global health crisis.

CONCLUSIONS

Comparative health workforce policy research may contribute new knowledge to improve health system resilience and population health during a crisis.

Report on fraying resilience among the Ontario Registered Practical Nurse Workforce in long-term care homes during COVID-19

AIM

Registered Practical Nurses (RPNs) are frontline healthcare providers in Ontario long-term care (LTC) homes. Throughout COVID-19, RPNs working in LTC homes experienced prolonged lockdowns, challenging working conditions, and inadequate resource allocation. This study aimed to describe the personal and professional resilience of RPNs working in LTC during the COVID-19 pandemic.

DESIGN

An open cross-sectional online survey containing the Connor-Davidson Resilience Scale, Resilience at Work Scale®, and Resilience at Work Team Scale®.

METHODS

The survey was distributed by the RPN Association of Ontario (WeRPN) to approximately 5000 registered members working in Ontario LTC homes.

RESULTS

A total of 434 respondents participated in the survey (completion rate = 88.0%). Study respondents scored low on measures of resilience and reported extreme levels of job (54.5%) and personal (37.8%) stress. Resources to support self-care and work-life balance, build capacity for team-based care practice(s) are needed.

Managers' and Administrators' Perspectives on Digital Technology Use in Regional Long-Term Care Homes During the COVID-19 Pandemic

In this paper, we explore managers' and administrators' perspectives on digital technology use for residents during province-wide lockdowns (June-August 2021) during the COVID-19 pandemic in seven regional long-term care homes (LTC) in Niagara, Canada. Fifteen semi-structured interviews were conducted with participants representing operational, financial, and recreational departments where we discussed their needs and factors influencing the use of digital technology during the phases of increased restrictions on visitors and social isolation. Our findings indicate extensive use of cellular devices including smartphones, however additional iPads were needed to meet the ever-rising demand for virtual connections. Almost all participants revealed supportive leadership, redeployed staff, and community donations as main facilitators for technology use. Barriers related to managing varying elderly cognitive capacities and technical issues affected technology use. Based on our findings, we conclude that financial commitment and community support are integral for future-proofing LTC homes with technological innovations.

Intended, Unintended, Unanticipated? Consequences of Social Distancing Measures for Nursing Home Residents During the Covid-19 Pandemic

During the outbreak of the COVID-19 pandemic, Norwegian health authorities introduced social distancing measures in nursing homes. The aim was to protect vulnerable residents from contracting the potentially deadly infection. Drawing on individual interviews with nursing home managers and physicians, and focus groups with nursing staff, we explore and describe consequences the social distancing measures had on nursing home residents' health and wellbeing. The analysis indicates that most residents became socially deprived, while some became calmer during the nursing home lockdown. Nursing home staff, physicians and managers witnessed that residents' health and functional capacity declined when services to maintain health, such as physiotherapy, were put on hold. In conclusion, we argue that although Norwegian health authorities managed to keep the infection rates low in nursing homes, this came at a high price for the residents however, as the social distancing measures also negatively impacted their health and wellbeing.

Teaming up for long-term care: Recognizing all long-term care staff contribute to quality care

When looking to promising international approaches to improve quality care in long-term care, it is necessary to avoid cherry-picking specific dimensions ignoring the integrated nature of what makes these approaches promising in the first place. In looking at promising Scandinavian or Green House models, attention is often paid to the size of facility. This often overlooks the importance of higher level of staffing, mix, and compensation of direct care staff and the integration of dietary, laundry, and housekeeping staff to care teams. Other overlooked considerations include recognition of family and friends and policies supporting care continuity.

“It’s the worst thing I’ve ever been put through in my life”: the trauma experienced by essential family caregivers of loved ones in long-term care during the COVID-19 pandemic in Canada

Background

Essential family caregivers (EFCs) of relatives living in long-term care homes (LTCHs) experienced restricted access to their relatives due to COVID-19 visitation policies. Residents’ experiences of separation have been widely documented; yet, few have focused on EFCs’ traumatic experiences during the pandemic. Objective: This study aims to explore the EFCs’ trauma of being locked out of LTCHs and unable to visit their loved ones in-person during COVID-19.

Methods

Seven online focus groups with a total of 30 EFCs from Ontario and British Columbia, Canada were conducted as part of a larger mixed-method study. We used an inductive approach to thematic analysis to understand the lived experiences of trauma.

Results

Four trauma-related themes emerged: 1) trauma from prolonged separation from loved ones; 2) trauma from uncompassionate interactions with the LTCH’s staff and administrators; 3) trauma from the inability to provide care to loved ones, and 4) trauma from experiencing prolonged powerlessness and helplessness.

Discussion

The EFCs experienced a collective trauma that deeply impacted their relationships with their relatives as well as their perception of the LTC system. Experiences endured by EFCs highlighted policy and practice changes, including the need for trauma-centred approaches to repair relational damage and post-pandemic decision-making that collaborates with EFCs.

Use of AI to assess COVID-19 variant impacts on hospitalization, ICU, and death

The rapid spread of COVID-19 and its variants have devastated communities worldwide, and as the highly transmissible Omicron variant becomes the dominant strain of the virus in late 2021, the need to characterize and understand the difference between the new variant and its predecessors has been an increasing priority for public health authorities. Artificial Intelligence has played a significant role in the analysis of various facets of COVID-19 since the early stages of the pandemic. This study proposes the use of AI, specifically an XGBoost model, to quantify the impact of various medical risk factors (or “population features”) on the possibility of a patient outcome resulting in hospitalization, ICU admission, or death. The results are compared between the Delta and Omicron COVID-19 variants. Results indicated that older age and an unvaccinated patient status most consistently correspond as the most significant population features contributing to all three scenarios (hospitalization, ICU, death). The top 15 features for each variant-outcome scenario were determined, which most frequently included diabetes, cardiovascular disease, chronic kidney disease, and complications of pneumonia as highly significant population features contributing to serious illness outcomes. The Delta/Hospitalization model returned the highest performance metric scores for the area under the receiver operating characteristic (AUROC), F1, and Recall, while Omicron/ICU and Omicron/Hospitalization had the highest accuracy and precision values, respectively. The recall was found to be above 0.60 in most cases (with only two exceptions), indicating that the total number of false positives was generally minimized (accounting for more of the people who would theoretically require medical care).

Culture Change in Long-Term Care-Post COVID-19: Adapting to a New Reality Using Established Ideas and Systems

The response to the COVID-19 pandemic in long-term care (LTC) has threatened to undo efforts to transform the culture of care from institutionalized to de-institutionalized models characterized by an orientation towards person- and relationship-centred care. Given the pandemic’s persistence, the sustainability of culture-change efforts has come under scrutiny. Drawing on seven culture-change models implemented in Canada, we identify organizational prerequisites, facilitatory mechanisms, and frontline changes relevant to culture change that can strengthen the COVID-19 pandemic response in LTC homes. We contend that a reversal to institutionalized care models to achieve public health goals of limiting COVID-19 and other infectious disease outbreaks is detrimental to LTC residents, their families, and staff. Culture change and infection control need not be antithetical. Both strategies share common goals and approaches that can be integrated as LTC practitioners consider ongoing interventions to improve residents’ quality of life, while ensuring the well-being of staff and residents’ families.

Staff scheduling for residential care under pandemic conditions: The case of COVID-19

The COVID-19 pandemic severely impacted residential care delivery all around the world. This study investigates the current scheduling methods in residential care facilities in order to enhance them for pandemic conditions. We first define the basic problem that addresses decisions associated with the assignment and scheduling of staff members, who perform a set of tasks required by residents during a planning horizon. This problem includes the minimization of costs associated with the salary of part-time staff members, total overtime, and violations of service time windows. Subsequently, we adapt the basic problem to pandemic conditions by considering the impacts of communal spaces (e.g., shared rooms) and a cohorting policy (classification of residents based on their risk of infection) on the spread of infectious diseases. We introduce a new objective function that minimizes the number of distinct staff members serving each room of residents. Likewise, we propose a new objective function for the cohorting policy that aims to minimize the number of distinct cohorts served by each staff member. A new constraint is incorporated that forces staff members to serve only one cohort within a shift. We present a population-based heuristic algorithm to solve this problem. Through a comparison with two benchmark solution approaches (a mathematical programme and a non-dominated archiving ant colony optimization algorithm), the superiority of the heuristic algorithm is shown regarding solution quality and CPU time. Finally, we conduct numerical analyses to present managerial implications.

Identifying performance factors of long-term care facilities in the context of the COVID-19 pandemic: a scoping review protocol

BACKGROUND

Long-term care facilities (LTCFs) have been severely affected by the COVID-19 pandemic with serious consequences for the residents. Some LTCFs performed better than others, experiencing lower case and death rates due to COVID-19. A comprehensive understanding of the factors that have affected the transmission of COVID-19 in LTCFs is lacking, as no published studies have applied a multidimensional conceptual framework to evaluate the performance of LTCFs during the pandemic. Much research has focused on infection prevention and control strategies or specific disease outcomes (e.g., death rates). To address these gaps, our scoping review will identify and analyze the performance factors that have influenced the management of COVID-19 in LTCFs by adopting a multidimensional conceptual framework.

METHODS

We will query the CINAHL, MEDLINE (Ovid), CAIRN, Science Direct, and Web of Science databases for peer-reviewed articles written in English or French and published between January 1, 2020 and December 31, 2021. We will include articles that focus on the specified context (COVID-19), population (LTCFs), interest (facilitators and barriers to performance of LTCFs), and outcomes (dimensions of performance according to a modified version of the Ministère de la santé et des services sociaux du Québec conceptual framework). Each article will be screened by at least two co-authors independently followed by data extraction of the included articles by one co-author and a review by the principal investigator.

RESULTS

We will present the results both narratively and with visual aids (e.g., flowcharts, tables, conceptual maps).

DISCUSSION

Our scoping review will provide a comprehensive understanding of the factors that have affected the performance of LTCFs during the COVID-19 pandemic. This knowledge can help inform the development of more effective infection prevention and control measures for future pandemics and outbreaks. The results of our review may lead to improvements in the care and safety of LTCF residents and staff. SCOPING REVIEW REGISTRATION: Research Registry researchregistry7026.

Saving millions of lives but some resources squandered: emerging lessons from health research system pandemic achievements and challenges

During the SARS-CoV-2 pandemic, astonishingly rapid research averted millions of deaths worldwide through new vaccines and repurposed and new drugs. Evidence use informed life-saving national policies including non-pharmaceutical interventions. Simultaneously, there was unprecedented waste, with many underpowered trials on the same drugs. We identified lessons from COVID-19 research responses by applying WHO's framework for research systems. It has four functions-governance, securing finance, capacity-building, and production and use of research-and nine components. Two linked questions focused the analysis. First, to what extent have achievements in knowledge production and evidence use built on existing structures and capacity in national health research systems? Second, did the features of such systems mitigate waste? We collated evidence on seven countries, Australia, Brazil, Canada, Germany, New Zealand, the United Kingdom and the United States, to identify examples of achievements and challenges.We used the data to develop lessons for each framework component. Research coordination, prioritization and expedited ethics approval contributed to rapid identification of new therapies, including dexamethasone in the United Kingdom and Brazil. Accelerated vaccines depended on extensive funding, especially through the Operation Warp Speed initiative in the United States, and new platforms created through long-term biomedical research capacity in the United Kingdom and, for messenger ribonucleic acid (mRNA) vaccines, in Canada, Germany and the United States. Research capacity embedded in the United Kingdom's healthcare system resulted in trial acceleration and waste avoidance. Faster publication of research saved lives, but raised challenges. Public/private collaborations made major contributions to vastly accelerating new products, available worldwide, though unequally. Effective developments of living (i.e. regularly updated) reviews and guidelines, especially in Australia and Canada, extended existing expertise in meeting users' needs. Despite complexities, effective national policy responses (less evident in Brazil, the United Kingdom and the United States) also saved lives by drawing on health research system features, including collaboration among politicians, civil servants and researchers; good communications; and willingness to use evidence. Comprehensive health research strategies contributed to success in research production in the United Kingdom and in evidence use by political leadership in New Zealand. In addition to waste, challenges included equity issues, public involvement and non-COVID research. We developed recommendations, but advocate studies of further countries.

Long-Term Care Home Size Association with COVID-19 Infection and Mortality in Catalonia in March and April 2020

We aim to assess how COVID-19 infection and mortality varied according to facility size in 965 long-term care homes (LTCHs) in Catalonia during March and April 2020. We measured LTCH size by the number of authorised beds. Outcomes were COVID-19 infection (at least one COVID-19 case in an LTCH) and COVID-19 mortality. Risks of these were estimated with logistic regression and hurdle models. Models were adjusted for county COVID-19 incidence and population, and LTCH types. Sixty-five per cent of the LTCHs were infected by COVID-19. We found a strong association between COVID-19 infection and LTCH size in the adjusted analysis (from 45% in 10-bed homes to 97.5% in those with over 150 places). The average COVID-19 mortality in all LTCHs was 6.8% (3887 deaths) and 9.2% among the COVID-19-infected LTCHs. Very small and large homes had higher COVID-19 mortality, whereas LTCHs with 30 to 70 places had the lowest level. COVID-19 mortality sharply increased with LTCH size in counties with a cumulative incidence of COVID-19 which was higher than 250/100,000, except for very small homes, but slightly decreased with LTCH size when the cumulative incidence of COVID-19 was lower. To prevent infection and preserve life, the optimal size of an LTCH should be between 30 and 70 places.

Taking the 'care' out of care homes: The moral dilemma of institutional long-term care provision during COVID-19

Little is known on how the pandemic has changed care home care delivery. The aim of this study was to explore the impact of COVID-19 on care provision and visits in care homes from staff and family members' perspectives. For this purpose, we conducted a telephone- and zoom-based qualitative semi-structured interview study. Care home staff and family carers of people living with dementia (PLWD) across the UK were recruited via convenience sampling and participated via telephone or online. Participants took part in a semi-structured remote interview. Data were collected between October and November 2020. Anonymised transcripts were analysed separately by two research team members using thematic analysis, with codes discussed and themes generated jointly, supported by research team input. 42 participants (26 family carers and 16 care home staff) took part. Five themes were generated: (a) Care home reputation and financial implications; (b) Lack of care; (c) Communication or lack thereof; (d) Visiting rights/changes based on residents' needs; (e) Deterioration of residents. With a lack of clear guidance throughout the pandemic, care homes delivered care differently with disparities in the levels and types of visiting allowed for family members. Lack of communication between care homes and family members, but also government and care homes, led to family carers feeling excluded and concerned about the well-being of their relative. Improved communication and clear guidance for care homes and the public are required to negate the potentially damaging effects of COVID-19 restrictions upon residents, their families and the carers who support them.

A Time Series Analysis Evaluating Antibiotic Prescription Rates in Long-Term Care during the COVID-19 Pandemic in Alberta and Ontario, Canada

The COVID-19 pandemic affected access to care, and the associated public health measures influenced the transmission of other infectious diseases. The pandemic has dramatically changed antibiotic prescribing in the community. We aimed to determine the impact of the COVID-19 pandemic and the resulting control measures on oral antibiotic prescribing in long-term care facilities (LTCFs) in Alberta and Ontario, Canada using linked administrative data. Antibiotic prescription data were collected for LTCF residents 65 years and older in Alberta and Ontario from 1 January 2017 until 31 December 2020. Weekly prescription rates per 1000 residents, stratified by age, sex, antibiotic class, and selected individual agents, were calculated. Interrupted time series analyses using SARIMA models were performed to test for changes in antibiotic prescription rates after the start of the pandemic (1 March 2020). The average annual cohort size was 18,489 for Alberta and 96,614 for Ontario. A significant decrease in overall weekly prescription rates after the start of the pandemic compared to pre-pandemic was found in Alberta, but not in Ontario. Furthermore, a significant decrease in prescription rates was observed for antibiotics mainly used to treat respiratory tract infections: amoxicillin in both provinces (Alberta: −0.6 per 1000 LTCF residents decrease in weekly prescription rate, p = 0.006; Ontario: −0.8, p < 0.001); and doxycycline (−0.2, p = 0.005) and penicillin (−0.04, p = 0.014) in Ontario. In Ontario, azithromycin was prescribed at a significantly higher rate after the start of the pandemic (0.7 per 1000 LTCF residents increase in weekly prescription rate, p = 0.011). A decrease in prescription rates for antibiotics that are largely used to treat respiratory tract infections is in keeping with the lower observed rates for respiratory infections resulting from pandemic control measures. The results should be considered in the contexts of different LTCF systems and provincial public health responses to the pandemic.

Enhancing the use of technology in the long-term care sector in Canada: Insights from citizen panels and a national stakeholder dialogue

Enhancing the use of technology in long-term care has been identified as a key part of broader efforts to strengthen the sector in the wake of the COVID-19 pandemic. To inform such efforts, we convened a series of citizen panels, followed by a national stakeholder dialogue with system leaders focused on reimagining the long-term care sector using technology. Key actions prioritized through the deliberations convened included: developing an innovation roadmap/agenda (including national standards and guidelines); using co-design approaches for the strengthening the long-term care sector and for technological innovation; identifying and coordinating existing innovation projects to support scale and spread; enabling rapid-learning and improvement cycles to support the development, evaluation, and implementation of new technologies; and using funding models that enable the flexibility needed for such rapid-learning cycles.

Initial health care costs for COVID-19 in British Columbia and Ontario, Canada: an interprovincial population-based cohort study

BACKGROUND

COVID-19 imposed substantial health and economic burdens. Comprehensive population-based estimates of health care costs for COVID-19 are essential for planning and policy evaluation. We estimated publicly funded health care costs in 2 Canadian provinces during the pandemic's first wave.

METHODS

In this historical cohort study, we linked patients with their first positive SARS-CoV-2 test result by June 30, 2020, in 2 Canadian provinces (British Columbia and Ontario) to health care administrative databases and matched to negative or untested controls. We stratified patients by highest level of initial care: community, long-term care, hospital (without admission to the intensive care unit [ICU]) and ICU. Mean publicly funded health care costs for patients and controls, mean net (attributable to COVID-19) costs and total costs were estimated from 30 days before to 120 days after the index date, or to July 31, 2020, in 30-day periods for patients still being followed by the start of each period.

RESULTS

We identified 2465 matched people with a positive test result for SARS-CoV-2 in BC and 28 893 in Ontario. Mean age was 53.4 (standard deviation [SD] 21.8) years (BC) and 53.7 (SD 22.7) years (Ontario); 55.7% (BC) and 56.1% (Ontario) were female. Net costs in the first 30 days after the index date were $22 010 (95% confidence interval [CI] 19 512 to 24 509) and $15 750 (95% CI 15 354 to 16 147) for patients admitted to hospital, and $65 828 (95% CI 58 535 to 73 122) and $56 088 (95% CI 53 721 to 58 455) for ICU patients in BC and Ontario, respectively. In the community and long-term care settings, net costs were near 0. Total costs for all people, from 30 days before to 30 days after the index date, were $22 128 330 (BC) and $175 778 210 (Ontario).

INTERPRETATION

During the first wave, we found that mean costs attributable to COVID-19 were highest for patients with ICU admission and higher in BC than Ontario. Reducing the number of people who acquire COVID-19 and severity of illness are required to mitigate the economic impact of COVID-19.

Unintended Consequences of Pandemic Management Strategies on Residents and Family in One Long-term Care Home in British Columbia: A Patient-Supported Qualitative Study

Background and Objectives

In March 2020, pandemic management strategies were mandated across long-term care homes in British Columbia, Canada, to control the effects of COVID-19. This study describes and contextualizes the impact of visitation, infection prevention and control, and staffing strategies on the perceived health and well-being of residents and families.

Research Design and Methods

This interpretive description study was part of a larger mixed-methods study at a publicly funded not-for-profit long-term care home in British Columbia, Canada. Eleven family members and 10 residents were interviewed between October and December 2020, and resident and family partners participated in a steering committee throughout all stages of the research.

Findings

Early pandemic management strategies had an adverse impact on the perceived health and well-being of families and residents. Visitation restrictions eliminated care routinely provided by families and prevented in-person communication between residents, families, and care providers. Other infection prevention and control strategies isolated residents; group enrichment programs were stopped, and lockdowns created a perception of incarceration. Donning and doffing personal protective equipment took time away from staff–resident interactions and the single-site order reduced staff numbers, placing additional time restraints on residents’ care.

Discussion and Implications

Unintended adverse consequences of pandemic management strategies demonstrate the risks of creating policies based on a medicalized definition of health. Clear lines of communication are vital to increase a sense of control for families and residents. Elimination of care provided by families and paid companions exposed a gap in Canada’s public long-term care system. This care gap raises concerns about equitable care access for residents without families or financial means to pay for additional care.

The Impact of Long-Term Care Home Ownership and Administration Type on All-Cause Mortality from March to April 2020 in Madrid, Spain

Our aim is to assess whether long-term care home (LTCH) ownership and administration type were associated with all-cause mortality in 470 LTCHs in the Community of Madrid (Spain) during March and April 2020, the first two months of the COVID-19 pandemic. There are eight categories of LTCH type, including various combinations of ownership type (for-profit, nonprofit, and public) and administration type (completely private, private with places rented by the public sector, administrative management by procurement, and completely public). Multilevel regression was used to examine the association between mortality and LTCH type, adjusting for LTCH size, the spread of the COVID-19 infection, and the referral hospital. There were 9468 deaths, a mortality rate of 18.3%. Public and private LTCHs had lower mortality than LTCHs under public-private partnership (PPP) agreements. In the fully adjusted model, mortality was 7.4% (95% CI, 3.1-11.7%) in totally public LTCHs compared with 21.9% (95% CI, 17.4-26.4%) in LTCHs which were publicly owned with administrative management by procurement. These results are a testimony to the fatal consequences that pre-pandemic public-private partnerships in long-term residential care led to during the first months of the COVID-19 pandemic in the Community of Madrid, Spain.

Pandemic Responsiveness in an Acute Care Setting: A Community Hospital's Utilization of Operational Resources During COVID-19

Background

To ensure continuity of services while mitigating patient surge and nosocomial infections during the coronavirus disease 2019 (COVID-19) pandemic, acute care hospitals have been required to make significant operational adjustments. Here, we identify and discuss key administrative priorities and strategies utilized by a large community hospital located in Ontario, Canada.

Methods

Guided by a qualitative descriptive approach, we performed a thematic analysis of all COVID-19-related documentation discussed by the hospital’s emergency operation centre (EOC) during the pandemic’s first wave. We then solicited operational strategies from a multidisciplinary group of hospital leaders to construct a narrative for each theme.

Results

Seven recurrent themes critical to the hospital’s pandemic response emerged: 1) Organizational structure: a modified EOC structure was adopted to increase departmental interoperability and situational awareness; 2) Capacity planning: Design Thinking guided rapid infrastructure decisions to meet surge requirements; 3) Occupational health and workplace safety: a multidisciplinary team provided respirator fit-testing, critical absence adjudication, and wellness needs; 4) Human resources/workforce planning: new workforce planning, recruitment, and redeployment strategies addressed staffing shortages; 5) Personal protective equipment (PPE): PPE conservation required proactive sourcing from traditional and non-traditional suppliers; 6) Community response: local partnerships were activated to divert patients through a non-referral-based assessment and treatment centre, support long-term care and retirement homes, and establish a 70-bed field hospital; and 7) Corporate communication: a robust communication strategy provided timely and transparent access to rapidly evolving information.

Conclusion

A community hospital’s operational preparedness for COVID-19 was supported by inter-operability, leveraging internal and external expertise and partnerships, creative problem solving, and developing novel tools to support occupational health and community initiatives.

Antibody Seroprevalence, Infection and Surveillance for SARS-CoV-2 in Residents and Staff of New Jersey Long-Term Care Facilities

Early in the pandemic, New Jersey (NJ) long-term care facilities (LTCFs) witnessed severe COVID-19 illness. With limited surveillance to characterize the scope of infection, we estimated the prevalence of antibody to the SARS-CoV-2 nucleocapsid protein among residents and staff, to describe the epidemiology, and to measure antibody distribution by prior PCR/antigen status and symptomatology. 10 NJ LTCFs of 20 solicited with diverse geography and bed-capacities were visited between October 2020 and March 2021. A single serum was tested for total N-antibody (ELISA) by the state laboratory. Residents' demographics and clinical history were transcribed from the patient record. For staff, this information was solicited directly from employees, supplemented by prior PCR/antigen results from facilities. 62% of 332 residents and 46% of 661 staff tested N-antibody positive. In a multivariable logistic regression in residents, odds ratios for older age and admission prior before March 1, 2020 were significant. Among the staff, odds ratios for older age, ethnic-racial group, nursing-related job, and COVID-19 symptoms were significantly associated with N-antibody positivity. In a sub-analysis in five better record-keeping LTCFs, 90% of residents and 85% of staff with positive PCR/antigen results were seropositive for N-antibody, yet 25% of residents and 22% of staff were N-antibody positive but PCR/antigen and symptoms negative. The high rate of clinically unsuspected infections likely contributed to the spread. These findings argue for robust surveillance, regular screening of asymptomatic individuals, and vaccinating both residents and staff to abate the pandemic. The data also provide guidance to prevent future outbreaks.

COVID-19 in Long-Term Care: The Built Environment Impact on Infection Control

PURPOSE

The purpose of this article is to review available literature for evidence-based impact of the built environment upon the prevention and management of COVID-19 with a view to emphasizing lessons learned for future infection control of pandemics.

BACKGROUND

This is urgently needed given the devastation brought upon long-term care residents worldwide. Long-term care (LTC) facilities face a battle to protect their residents. Previous studies of infection control design issues have focused generally on Fomites: that is, contaminated objects and surfaces. As COVID-19 has been shown to be largely spread through the air, this article will broaden the focus to include engineering controls that effect this type of transmission.

METHOD

A literature search was conducted using key words such as long-term care facilities, built environment, COVID-19, infection control, and nursing homes.

RESULTS

Results were sorted using an engineering controls pyramid developed by the author to stratify approaches to LTC infrastructure. Basically, six elements were supported: ventilation, spatial separation, physical barriers, hand hygiene stations, resident room zones, and private rooms.

IMPLICATIONS

Conclusions were that the built environment has a major impact on infection control that can be deleterious or beneficial. Substantial changes need to be made to protect the very vulnerable LTC population from future pandemics and infectious diseases.

Staff perceptions of the consequences of COVID-19 on quality of dementia care for residents in Ontario long-term care homes

OBJECTIVES

The first wave of the COVID-19 pandemic necessitated extensive infection control measures in long-term care (LTC) and had a significant impact on staffing and services. Anecdotal reports indicate that this negatively affected LTC residents' quality of care and wellbeing, but there is scarce evidence on the effects of COVID-19 on quality of dementia care in LTC.

METHODS

From December 2020 to March 2021, we conducted a cross-sectional online survey among staff who worked in LTC homes in Ontario, Canada. Survey questions examined staffs' perceptions of the impact of COVID-19 on dementia quality of care during the initial wave of the COVID-19 pandemic (beginning 1 March 2020).

RESULTS

There were a total of 227 survey respondents; more than half reported both worsened overall quality of care (51.3%) and worsening of a majority of specific quality of care measures (55.5%). Measures of cognitive functioning, mobility and behavioural symptoms were most frequently described as worsened. Medical and allied/support staff had the highest odds of reporting overall worsened quality of care, while specialized behavioural care staff and those with more experience in LTC were less likely to. LTC home factors including rural location and smaller size, staffing challenges, higher number of outbreaks and less COVID-19 preparedness were associated with increased odds of perceived worsening of quality of dementia care outcomes.

CONCLUSIONS

These findings suggest that COVID-19 pandemic restrictions and related effects such as inadequate staffing may have contributed to poor quality of care and outcomes for those with dementia in LTC.

Is long-term care a building or a societal moral philosophy?

The number of Older Adults (OA) in Ontario will double in two decades. The COVID-19 pandemic demonstrated that the model of subsidized Long-Term Care (LTC) homes does not reflect the care needs of OAs. Many nations have implemented LTC models as a continuum of care for OAs promoting independent home/community living. These models help delay admission to LTC homes and achieve a higher quality-of-life for OAs. Current financial pressure on the healthcare system and inadequacies of LTC homes necessitate a broader social welfare policy. One viable option for sustainable LTC is implementing Ontario's mandatory public long-term care insurance policy.

Short Report: The influence of congregate setting on positive COVID-19 tests among a high-risk sample of adults with intellectual and developmental disability in Ontario

BACKGROUND

For a number of reasons, persons with intellectual and developmental disability (IDD) are at increased risk of contracting COVID-19.

AIMS

This study explored the influence of congregate setting on testing positive for COVID-19 among adults with IDD in Ontario.

METHODS AND PROCEDURES

833 home care recipients with IDD were included, 204 were tested at least once for COVID-19. These data were linked to the homecare assessment data. The association between living in a congregate setting and receiving a positive COVID-19 test was explored using a logistic regression model among the total sample and those tested for COVID-19.

OUTCOMES AND RESULTS

77 individuals tested positive for COVID-19 (9.24 %). Congregate setting, age, aggression, and mobility were significantly associated with receiving a positive COVID-19 test in the total sample. Among the subgroup, congregate setting and age were significant.

CONCLUSION AND IMPLICATIONS

Adults with IDD have an increased risk for positive COVID-19 tests at younger ages than other high-risk populations, such as elderly persons. These findings confirm the vulnerability of adults with IDD living in group settings to COVID-19. As such, they should be prioritized when COVID-19 prevention and public health strategies, including vaccination and boosters, are introduced.

Using Andersen's model of health care utilization to assess factors associated with COVID-19 testing among adults in nine low-and middle-income countries: an online survey

Background

This study aimed to investigate, using Andersen’s model of health care utilization, factors associated with COVID-19 testing among adults in nine low- and middle- income countries.

Methods

In between 10 December 2020 and 9 February 2021, an online survey was organized in nine low- and middle-income countries. In total 10,183 adults (median age 45 years, interquartile range 33–57 years, range 18–93 years), including 6470 from Brazil, 1738 Malaysia, 1124 Thailand, 230 Bangladesh, 219 DR Congo, 159 Benin, 107 Uganda, 81 Malawi and 55 from Mali participated in the study. COVID-19 testing/infection status was assessed by self-report.

Results

Of the 10,183 participants, 40.3% had ever tested for COVID-19, 7.3% tested positive, and 33.0% tested negative. In an adjusted logistic regression model, predisposing factors (residing in Brazil, postgraduate education), enabling/disabling factors (urban residence, higher perceived economic status, being a student or worker in the health care sector, and moderate or severe psychological distress), and need factors (having at least one chronic condition) increased the odds of COVID-19 testing. Among those who were tested, participants residing in Bangladesh, those who had moderate to severe psychological distress were positively associated with COVID-19 positive diagnosis. Participants who are residing in Malaysia and Thailand, and those who had higher education were negatively associated with a COVID-19 positive diagnosis. Considering all participants, higher perceived economic status, being a student or worker in the health sector, and moderate or severe psychological distress were positively associated with a COVID-19 positive diagnosis, and residing in Malaysia, Thailand or five African countries was negatively associated with a COVID-19 positive diagnosis.

Conclusion

A high rate of COVID-19 testing among adults was reported in nine low-and middle-income countries. However, access to testing needs to be increased in Africa. Moreover, COVID-19 testing programmes need to target persons of lower economic status and education level who are less tested but most at risk for COVID-19 infection.

COVID-19 excess mortality among long-term care residents in Ontario, Canada

The coronavirus disease 2019 (COVID-19) has had devastating consequences worldwide, including a spike in global mortality. Residents of long-term care homes have been disproportionately affected. We conducted a retrospective cohort study to determine the scale of pandemic-related deaths of long-term care residents in the province of Ontario, Canada, and to estimate excess mortality due to a positive COVID-19 test adjusted for demographics and regional variations. Crude mortality rates for 2019 and 2020 were compared, as were predictors of mortality among residents with positive and negative tests from March 2020 to December 2020. We found the crude mortality rates were higher from April 2020 to June 2020 and from November 2020 to December 2020, corresponding to Wave 1 and Wave 2 of the pandemic in Ontario. There were also substantial increases in mortality among residents with a positive COVID-19 test. The significant differences in excess mortality observed in relation to long-term care home ownership category and geographic region may indicate gaps in the healthcare system that warrant attention from policymakers. Further investigation is needed to identify the most relevant factors in explaining these differences.

Trends in Health Service Use for Canadian Adults With Dementia and Parkinson Disease During the First Wave of the COVID-19 Pandemic

Question

Was the COVID-19 pandemic associated with changes in health service use and mortality among community-dwelling persons with dementia and Parkinson disease compared with older adults?

Findings

In this population-based repeated cross-sectional analysis, large declines in hospital use and nursing home admission were experienced across all cohorts. After the first wave, most services returned to historical levels, with physician visits elevated and mostly virtual, nursing home admissions reduced, and excess all-cause mortality.

Meaning

The pandemic was associated with meaningful health service disruptions for persons with dementia and Parkinson disease, highlighting that continued support for virtual care is needed to ensure optimal health outcomes.

Importance

Persons with dementia and Parkinson disease (PD) are vulnerable to disruptions in health care and services.

Objective

To examine changes in health service use among community-dwelling persons with dementia, persons with PD, and older adults without neurodegenerative disease during the first wave of the COVID-19 pandemic.

Design, Setting, and Participants

Repeated cross-sectional analysis using population-based administrative data among community-dwelling persons with dementia, persons with PD, and adults 65 years and older at the start of each week from March 1 through the week of September 20, 2020 (pandemic period), and March 3 through the week of September 22, 2019 (historical period), in Ontario, Canada.

Exposures

COVID-19 pandemic as of March 1, 2020.

Main Outcomes and Measures

Main outcomes were weekly rates of emergency department visits, hospitalizations, nursing home admissions, home care, virtual and in-person physician visits, and all-cause mortality. Poisson regression models were used to calculate weekly rate ratios (RRs) with 95% CIs comparing pandemic weeks with historical levels.

Results

Among those living in the community as of March 1, 2020, persons with dementia (n = 131 466; mean [SD] age, 80.1 [10.1] years) were older than persons with PD (n = 30 606; 73.7 [10.2] years) and older adults (n = 2 363 742; 74.0 [7.1] years). While all services experienced declines, the largest drops occurred in nursing home admissions (RR for dementia: 0.10; 95% CI, 0.07-0.15; RR for PD: 0.03; 95% CI, 0.00-0.21; RR for older adults: 0.11; 95% CI, 0.06-0.18) and emergency department visits (RR for dementia: 0.45; 95% CI, 0.41-0.48; RR for PD: 0.40; 95% CI, 0.34-0.48; RR for older adults: 0.45; 95% CI, 0.44-0.47). After the first wave, most services returned to historical levels except physician visits, which remained elevated (RR for dementia: 1.07; 95% CI, 1.05-1.09; RR for PD: 1.10, 95% CI, 1.06-1.13) and shifted toward virtual visits. Older adults continued to experience lower hospitalizations. All-cause mortality was elevated across cohorts.

Conclusions and Relevance

In this population-based repeated cross-sectional study in Ontario, Canada, those with dementia, those with PD, and older adults sought hospital care far less than usual, were not admitted to nursing homes, and experienced excess mortality during the first wave of the pandemic. Most services returned to historical levels, but virtual physician visits remained a feature of care. While issues of equity and quality of care are still emerging among persons with neurodegenerative diseases, policies to support virtual care are necessary.

Comparison of longitudinal trends in self-reported symptoms and COVID-19 case activity in Ontario, Canada

BACKGROUND

Limitations in laboratory diagnostic capacity impact population surveillance of COVID-19. It is currently unknown whether participatory surveillance tools for COVID-19 correspond to government-reported case trends longitudinally and if it can be used as an adjunct to laboratory testing. The primary objective of this study was to determine whether self-reported COVID-19-like illness reflected laboratory-confirmed COVID-19 case trends in Ontario Canada.

METHODS

We retrospectively analyzed longitudinal self-reported symptoms data collected using an online tool-Outbreaks Near Me (ONM)-from April 20th, 2020, to March 7th, 2021 in Ontario, Canada. We measured the correlation between COVID-like illness among respondents and the weekly number of PCR-confirmed COVID-19 cases and provincial test positivity. We explored contemporaneous changes in other respiratory viruses, as well as the demographic characteristics of respondents to provide context for our findings.

RESULTS

Between 3,849-11,185 individuals responded to the symptom survey each week. No correlations were seen been self-reported CLI and either cases or test positivity. Strong positive correlations were seen between CLI and both cases and test positivity before a previously documented rise in rhinovirus/enterovirus in fall 2020. Compared to participatory surveillance respondents, a higher proportion of COVID-19 cases in Ontario consistently came from low-income, racialized and immigrant areas of the province- these groups were less well represented among survey respondents.

INTERPRETATION

Although digital surveillance systems are low-cost tools that have been useful to signal the onset of viral outbreaks, in this longitudinal comparison of self-reported COVID-like illness to Ontario COVID-19 case data we did not find this to be the case. Seasonal respiratory virus transmission and population coverage may explain this discrepancy.

Quantifying transmissibility of SARS-CoV-2 and impact of intervention within long-term healthcare facilities

Estimates of the basic reproduction number (R ₀) for COVID-19 are particularly variable in the context of transmission within locations such as long-term healthcare (LTHC) facilities. We sought to characterize the heterogeneity of R ₀ across known outbreaks within these facilities. We used a unique comprehensive dataset of all outbreaks that occurred within LTHC facilities in British Columbia, Canada as of 21 September 2020. We estimated R ₀ in 18 LTHC outbreaks with a novel Bayesian hierarchical dynamic model of susceptible, exposed, infected and recovered individuals, incorporating heterogeneity of R ₀ between facilities. We further compared these estimates to those obtained with standard methods that use the exponential growth rate and maximum likelihood. The total size of outbreaks varied dramatically, with range of attack rates 2%-86%. The Bayesian analysis provided an overall estimate of R ₀ = 2.51 (90% credible interval 0.47-9.0), with individual facility estimates ranging between 0.56 and 9.17. Uncertainty in these estimates was more constrained than standard methods, particularly for smaller outbreaks informed by the population-level model. We further estimated that intervention led to 61% (52%-69%) of all potential cases being averted within the LTHC facilities, or 75% (68%-79%) when using a model with multi-level intervention effect. Understanding of transmission risks and impact of intervention are essential in planning during the ongoing global pandemic, particularly in high-risk environments such as LTHC facilities.

The federal government and Canada's COVID-19 responses: from 'we're ready, we're prepared' to 'fires are burning'

Canada's experience with the coronavirus disease-2019 (COVID-19) pandemic has been characterized by considerable regional variation, as would be expected in a highly decentralized federation. Yet, the country has been beset by challenges, similar to many of those documented in the severe acute respiratory syndrome outbreak of 2003. Despite a high degree of pandemic preparedness, the relative success with flattening the curve during the first wave of the pandemic was not matched in much of Canada during the second wave. This paper critically reviews Canada's response to the COVID-19 pandemic with a focus on the role of the federal government in this public health emergency, considering areas within its jurisdiction (international borders), areas where an increased federal role may be warranted (long-term care), as well as its technical role in terms of generating evidence and supporting public health surveillance, and its convening role to support collaboration across the country. This accounting of the first 12 months of the pandemic highlights opportunities for a strengthened federal role in the short term, and some important lessons to be applied in preparing for future pandemics.

Factors associated with transmission of COVID-19 in long-term care facility outbreaks

Background

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has had a disproportionate impact on residents in long-term care facilities (LTCFs).

Aim

To identify risk factors associated with outbreak severity to inform current outbreak management and future pandemic preparedness planning efforts.

Methods

A retrospective cohort study design was used to evaluate the association between non-modifiable factors (facility building, organization level, and resident population characteristics), modifiable factors (measured through an assessment tool for infection prevention and control (IPC) and pandemic preparedness), and severity of COVID-19 outbreaks (attack rate) in LTCFs.

Findings

From March 1^st, 2020 to January 10^th, 2021, a total of 145 exposures to at least one confirmed case of COVID-19 in 82 LTCFs occurred. Risk factors associated with increased outbreak severity were older facility age, a resident (vs staff) index case, and poorer assessment tool performance. Specifically, for every item not met in the assessment tool, a 22% increase in the adjusted rate ratio was observed (1.2; 95% confidence interval: 1.1–1.4) after controlling for other risk factors.

Conclusion

Scores from an assessment tool, older building age, and the index case being a resident were associated with severity of COVID-19 outbreaks in our jurisdiction. The findings reinforce the importance of regularly assessing IPC measures and outbreak preparedness in preventing large outbreaks. Regular, systematic assessments incorporating IPC and outbreak preparedness measures may help mitigate impacts of future outbreaks and inform future pandemic preparedness planning.