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Team-based care is recognized as a foundational building block of high-performing primary care. The purpose of this study was to identify primary care practice characteristics associated with team functioning and examine whether there is relationship between team composition or size and team functioning. We sought to answer the following research questions: (1) are primary care practice characteristics associated with team functioning; and (2) does team composition or size influence team functioning. This cross-sectional correlational study was conducted in Fraser East, British Columbia, Eastern Ontario Health Unit, Ontario and Central Zone, Nova Scotia in Canada. Data were collected from primary care practices using an organization survey and the Team Climate Inventory (TCI) as a measure team functioning. The independent variables of interest were: physicians' payment model, internal clinic meetings to discuss clinical issues, care coordination through informal and ad hoc exchange, care coordination through electronic medical records and sharing clinic mission, values and objectives among health professionals. Potentially confounding variables were as follows: team size, composition, and practice panel size. A total of 63 practices were included in these analyses. The overall mean score of team climate was 73 (SD: 10.75) out of 100. Regression analyses showed that care coordination through human interaction and sharing the practice's mission, values, and objectives among health professionals were positively associated with higher functioning teams. Care coordination through electronic medical records and larger team size were negatively associated with team climate. This study provides baseline data on what practice characteristics are associated with highly functioning teams in Canada.

The Canadian Institutes of Health Research - Institute of Health Services and Policy Research (IHSPR) has published its Strategic Plan 2021-2026 (CIHR IHSPR 2021) and, as members of the Expert Advisory Group for a Pan-Canadian Health Data Strategy, we are providing commentary on the second strategic priority of IHSPR's Strategy related to health data and digital health. Systemic barriers have prevented the timely and effective collection, sharing and use of health data in Canada. Many of these systemic barriers relate to the fragmented health data foundation, lack of coordinated data governance and a risk-averse culture. As IHSPR mobilizes its strategic plan, it will be important to consider and address these factors head-on to contribute to a stronger health data foundation that would help achieve both IHSPR's strategic objectives and meaningfully contribute to elevating Canada's health data ecosystem.

Much of health services and policy research is applied. We offer four provocations to stimulate thinking about the relationship between research and the "systems" it aims to influence. We conclude that a focus on partnership implies that researchers need to be empathetic to the timelines and needs of policy makers, while true relationships are bidirectional. Focusing on the priorities of "systems" will emphasize short-term issues. This leads to researchers often conducting post-implementation evaluation, where they have had little involvement in policy or intervention design. Finally, a focus on single-project return of investment will tend to undervalue riskier - but also potentially more rewarding - research.

Introduction Differences in disability duration after work injury have been observed across jurisdictions, regions and urban and rural settings. A key aspect of effective disability management is the access and utilization of appropriate and high quality health care. This paper presents a framework for analyzing and thus understanding how health service spending and utilization vary across and within work disability management schemes and affect work disability management. Methods Our framework was developed through a literature review and policy analysis. Existing frameworks describing geographic variation in general health care systems identified factors believed to drive that variation. A review of policy and practice documents from Canada's no-fault cause-based work disability management system identified factors relevant to work disability systems. Results We expand on previous frameworks by taking a systems approach that centers on factors relevant to the work disability management system. We further highlight predisposing, enabling, workplace environment and need-based factors that could lead to variation in health care spending and utilization across and within jurisdictions. These factors are described as shaping the interactions between workers, health care providers, employers and work disability management system actors, and influencing work disability management health and employment outcomes. Conclusion Our systems-focused approach offers a guide for researchers and policymakers to analyze how various factors may influence spending and utilization across regions and to identify areas for improvement in health care delivery within work disability management systems. Next steps include testing the framework in an analysis looking at geographic variation in spending and utilization across and within Canadian work disability management systems.

IntroductionThe emergence of COVID-19 introduced a dual public health emergency in British Columbia, which was already in the fourth year of its opioid-related overdose crisis. The public health response to COVID-19 must explicitly consider the unique needs of, and impacts on, communities experiencing marginalisation including people with opioid use disorder (PWOUD). The broad move to virtual forms of primary care, for example, may result in changes to healthcare access, delivery of opioid agonist therapies or fluctuations in co-occurring health problems that are prevalent in this population. The goal of this mixed-methods study is to characterise changes to primary care access and patient outcomes following the rapid introduction of virtual care for PWOUD.Methods and analysisWe will use a fully integrated mixed-methods design comprised of three components: (a) qualitative interviews with family physicians and PWOUD to document experiences with delivering and accessing virtual visits, respectively; (b) quantitative analysis of linked, population-based administrative data to describe the uptake of virtual care, its impact on access to services and downstream outcomes for PWOUD; and (c) facilitated deliberative dialogues to co-create educational resources for family physicians, PWOUD and policymakers that promote equitable access to high-quality virtual primary care for this population.Ethics and disseminationApproval for this study has been granted by Research Ethics British Columbia. We will convene PWOUD and family physicians for deliberative dialogues to co-create educational materials and policy recommendations based on our findings. We will also disseminate findings via traditional academic outputs such as conferences and peer-reviewed publications.

Background The retirement of a family physician can represent a challenge in accessibility and continuity of care for patients. In this population-based, longitudinal cohort study, we assess whether and how long it takes for patients to find a new majority source of primary care (MSOC) when theirs retires, and we investigate the effect of demographic and clinical characteristics on this process. Methods We used provincial health insurance records to identify the complete cohort of patients whose majority source of care left clinical practice in either 2007/2008 or 2008/2009 and then calculated the number of days between their last visit with their original MSOC and their first visit with their new one. We compared the clinical and sociodemographic characteristics of patients who did and did not find a new MSOC in the three years following their original physician’s retirement using Chi-square and Fisher’s exact test. We also used Cox proportional hazards models to determine the adjusted association between patient age, sex, socioeconomic status, location and morbidity level (measured using Johns Hopkins’ Aggregated Diagnostic Groupings), and time to finding a new primary care physician. We produce survival curves stratified by patient age, sex, income and morbidity. Results Fifty-four percent of patients found a new MSOC within the first 12 months following their physician’s retirement. Six percent of patients still had not found a new physician after 36 months. Patients who were older and had higher levels of morbidity were more likely to find a new MSOC and found one faster than younger, healthier patients. Patients located in more urban regional health authorities also took longer to find a new MSOC compared to those in rural areas. Conclusions Primary care physician retirements represent a potential threat to accessibility; patients followed in this study took more than a year on average to find a new MSOC after their physician retired. Providing programmatic support to retiring physicians and their patients, as well as addressing shortages of longitudinal primary care more broadly could help to ensure smoother retirement transitions.

ObjectivesCOVID-19 accentuated the importance of breaking down data siloes and aligning incentives for data access, collection, and use. Health Data Research Network Canada (HDRN Canada) is responding to this challenge, bringing together people and organizations to transform health data use in Canada. ApproachHDRN Canada’s foundation is its partnership of 20 pan-Canadian, provincial and territorial data organizations that together are enabling multi-regional research. This is being enriched with HDRN Canada’s development of the Canada Health Data Research Alliance (HDR Alliance). The HDR Alliance coordinates expansion of sources and types of data available while retaining organizational independence. A project-based pilot approach is underway with two large pan-Canadian, longitudinal, consented cohort studies being linked at HDRN Canada sites. In addition, a collaboration with a pan-Canadian COVID19 clinical trials network is ensuring that clinical data are collected in ways that enables linkage with population-based administrative data. ResultsHDRN Canada has created a single data access portal for researchers with information on over 500 datasets and supported 72 research projects to date. Work on the HDR Alliance adds data from the Canadian Partnership for Tomorrow’s Health and the Canadian Longitudinal Survey on Aging. The former includes 350,000 individuals, and survey data (including related to COVID-19), physical measures and genomics. The latter includes 50,000 individuals with survey data and physical measures. Four multi-region clinical trials are being planned with the support of HDRN Canada. Even with aligned incentives, challenges navigating data governance and access processes remain. Collaborations are necessary to address these complexities and enable access to richer data in an efficient and timely matter. ConclusionStrong partnerships are critical to unlocking the potential of Canada’s data assets and expertise. The HDR Alliance provides a collaboration mechanism to increase the “findability”, accessibility and utility of data assets, while addressing complex issues in the data landscape. This increases research opportunities and the impact of population-based, linkable data.

Purpose: To describe the trajectory of physical symptoms among cancer decedents who were receiving home care in the six months before death. Patients and Methods: An observational cohort study of cancer decedents in Ontario, Canada, who received home care services between 2007 and 2014. To be included, decedents had to use at least one home care service in the last six months of life. Outcomes were the presence of pain and several other physical symptoms at each week before death. Results: Our cohort included 27,295 cancer decedents (30,368 assessments). Forty-seven percent were female and 56% were age 75 years or older. The prevalence of all physical symptoms increased as one approached death, particularly in the last month of life. In the last weeks of life, 69% of patients reported having moderate–severe pain, however, only 20% reported that the pain was not controlled. Loss of appetite (63%), shortness of breath (59%), high health instability (50%), and self-reported poor health (44%) were also highly prevalent in the last week of life. Multivariate regression showed that caregiver distress, high health instability, social decline, uncontrolled pain, and signs of depression all worsened the odds of having a physical symptom in the last 3 months of life. Conclusion: In this large home care cancer cohort, trajectories of physical symptoms worsened close to death. While presence of moderate–severe pain was common, it was also reported as mostly controlled. Covariates, such as caregiver distress and social decline, were associated with having more physical symptoms at end of life.

Background: Studies comparing end-of-life care between patients who are high cost users of the healthcare system compared to those who are not are lacking. Aim: The objective of this study was to describe and measure the association between high cost user status and several health services outcomes for all adults in Canada who died in acute care, compared to non-high cost users and those without prior healthcare use. Settings and participants: We used administrative data for all adults who died in hospital in Canada between 2011 and 2015 to measure the odds of admission to the intensive care unit (ICU), receipt of invasive interventions, major surgery, and receipt of palliative care during the hospitalization in which the patient died. High cost users were defined as those in the top 10% of acute healthcare costs in the year prior to a person’s hospitalization in which they died. Results: Among 252,648 people who died in hospital, 25,264 were high cost users (10%), 112,506 were non-high cost users (44.5%) and 114,878 had no prior acute care use (45.5%). After adjustment for age and sex, high cost user status was associated with a 14% increased odds of receiving an invasive intervention, a 15% increased odds of having major surgery, and an 8% lower odds of receiving palliative care compared to non-high cost users, but opposite when compared to patients without prior healthcare use. Conclusions: Many patients receive aggressive elements of end-of-life care during the hospitalization in which they die and a substantial number do not receive palliative care. Understanding how this care differs between those who were previously high- and non-high cost users may provide an opportunity to improve end of life care for whom better care planning and provision ought to be an equal priority.

IntroductionOral anticoagulants (OACs) prevent stroke in patients with atrial fibrillation (AF). Several factors may cause OAC switching.ObjectivesTo examine the phenomenon of OAC switching in patients with AF, including all available evidence; frequency and patterns of switch, clinical outcomes, adherence, patient-reported outcomes, reasons for switch, factors associated with switch and evidence gaps.DesignScoping review.Data sourcesMEDLINE, Embase and Web of Science, up to January 2022.ResultsOf the 116 included studies, 2/3 examined vitamin K antagonist (VKA) to direct-acting OAC (DOAC) switching. Overall, OAC switching was common and the definition of an OAC switch varied across. Switching from VKA to dabigatran was the most prevalent switch type, but VKA to apixaban has increased in recent years. Patients on DOAC switched more to warfarin than to other DOACs. OAC doses involved in the switches were hardly reported and patients were often censored after the first switch. Switching back to a previously taken OAC (frequently warfarin) occurred in 5%–21% of switchers.The risk of ischaemic stroke and gastrointestinal bleeding in VKA to DOAC switchers compared with non-switchers was conflicting, while there was no difference in the risk of other types of bleeding. The risk of ischaemic stroke in switchers from DOAC versus non-switchers was conflicting. Studies evaluating adherence found no significant changes in adherence after switching from VKA to DOAC, however, an increase in satisfaction with therapy were reported. Reasons for OAC switch, and factors associated with OAC switch were mostly risk factors for stroke and bleeding. Clinical outcomes, adherence and patient-reported outcomes were sparse for switches from DOACs.ConclusionsOAC switching is common in patients with AF and patients often switch back to an OAC they have previously been on. There are aspects of OAC switching that have received little study, especially in switches from DOACs.

Background Frequent emergency department users disproportionately account for rising health care costs. We aimed to characterize frequent emergency department users in British Columbia, Canada. Methods We performed a retrospective analysis using health administrative databases. We included patients aged 18 years or more with at least 1 emergency department visit from 2012/13 to 2015/16, linked to hospital, physician billing, prescription and mortality data. We used annual emergency department visits made by the top 10% of patients to define frequent users (≥ 3 visits/year). Results Over the study period, 13.8%-15.3% of patients seen in emergency departments were frequent users. We identified 205 136 frequent users among 1 196 353 emergency department visitors. Frequent users made 40.3% of total visits in 2015/16. From 2012/13 to 2015/16, their visit rates per 100 000 BC population showed a relative increase of 21.8%, versus 13.1% among all emergency department patients. Only 1.8% were frequent users in all study years. Mental illness accounted for 8.2% of visits among those less than 60 years of age, and circulatory or respiratory diagnoses for 13.3% of visits among those aged 60 or more. In 2015/16, frequent users were older and had lower household incomes than nonfrequent users; the sex distribution was similar. Frequent users had more prescriptions (median 9, interquartile range [IQR] 5-14 v. 1, IQR 1-3), primary care visits (median 15, IQR 9-27 v. 7, IQR 4-12) and hospital admissions (median 2, IQR 1-3 v. 1, IQR 1-1), and higher 1-year mortality (10.2% v. 3.5%) than nonfrequent users. Interpretation Emergency department use by frequent users increased in BC between 2012/13 and 2015/16; these patients were heterogenous, had high mortality and rarely remained frequent users over multiple years. Our results suggest that interventions must account for heterogeneity and address triggers of frequent use episodes.

BackgroundThe shifting landscape of abortion care from a hospital-only to a distributed service including primary care has implications for how to identify abortion cohorts for research and surveillance. The objectives of this study were to 1) create an improved approach to define abortion cohorts using linked administrative data sets and 2) evaluate the performance of this approach for abortion surveillance compared with standard approaches. MethodsWe applied four principles to identify induced abortion cohorts when some services are delivered beyond hospital settings; 1) exclude early pregnancy losses and postpartum procedures; 2) use multiple data sources; 3) define episodes of care; 4) apply a hierarchical algorithm to determine abortion date to a population-based cohort of all abortion events in Ontario (Canada) from January 1, 2018-March 15, 2020. We calculated risk differences (RD, with 95% confidence intervals) comparing the proportion of medication vs. surgical, first vs. second trimester, and complication incidence applying these principles vs. standard approaches. ResultsHospital-only data (versus multiple data sources) underestimated the frequency of medication abortion (16.1% vs. 31.4%; RD -15.3% [-14.3, -16.3]) and first-trimester abortion (82.1% vs. 94.5%; RD -12.8 [-11.4, 13.4]) and overestimated incidence of abortion complication (2.9% vs. 0.69%; RD 2.2% [1.8, 2.7]). An unlinked (versus linked) approach underestimated the frequency of abortion complications (0.19% vs 0.69%, -RD 0.50% [-0.44 - -0.56]). Including (versus excluding) abortions following early pregnancy loss or delivery events increased the estimated incidence of abortion complications (1.29% vs. 0.69%, RD 0.60% [0.51-0.69]. ConclusionNew methods are required to accurately identify abortion cohorts for surveillance or research. When legal or regulatory approaches to medication abortion evolve to enable abortion in primary care or office-based settings, hospital-based surveillance systems will become incomplete and biased; to continue valid and complete abortion surveillance, methods must be adjusted to ensure complete capture of procedures across all settings.

Despite an increase in prevalence of complex chronic conditions and dementia, long-term care services are being continuously pushed out of institutional settings and into the home and community. The majority of people living with dementia in Canada and the United States (U.S.) live at home with support provided by family, friends or other unpaid caregivers. Ten dementia care policy programs and service delivery models across five different North American jurisdictions in Canada and the U.S. are compared deductively using a comparative policy framework originally developed by Richard Rose. One aim of this research was to understand how different jurisdictions have worked to reduce the fragmentation of dementia care. Another aim is to assess, relying on the theory of smart policy layering, the extent to which these policy efforts 'patch' health system structures or add to system redundancies. We find that these programs were introduced in a manner that did not fully consider how to patch current programs and services and thus risk creating further system redundancies. The implementation of these policy programs may have led to policy layers, and potentially to tension among different policies and unintended consequences. One approach to reducing these negative impacts is to implement evaluative efforts that assess 'goodness of fit'. The degree to which these programs have embedded these efforts into an existing policy infrastructure successfully is low, with the possible exception of one program in NY.

Background: Complaints about lack of access to family physicians (FPs) has led to concerns about the role recent physician graduates have had in changes in the supply of primary care services in Canada. This study investigates the impact of career stage, time period, and graduation cohort on family physician practice volume and continuity over two decades. Methods: Retrospective-cohort study of family physician practice from 1997/98 to 2017/18. Administrative health and physician claims data were collected in British Columbia, Manitoba, Ontario and Nova Scotia. The study included all physicians registered with their respective provincial regulatory colleges with a medical specialty of family practice and/or billed the provincial health insurance system for patient care as family physicians. Median polish analysis of patient contacts and physician-level continuity was completed to isolate years-in-practice, period, and cohort effects. Results: Median patient contacts per provider fell over time in the four provinces examined. In all four provinces, median contacts increased with years in practice until mid-to-late-career and declined into end-of-career. We found no relationship between graduation cohort and practice volume or FP-level continuity. Interpretation: Recent cohorts of family physicians practice similarly to predecessors in terms of practice volumes and continuity of care. Since FPs of all career stages show declining patient contacts, system-wide solutions to recent challenges in the accessibility of primary care in Canada are needed.

Purpose Understanding the end-of-life psychosocial needs of cancer patients at home is a knowledge gap. This study describes the trajectory of psychosocial symptoms in the last 6 months of life among cancer decedents who were receiving home care. Methods Observational population-based cohort study of cancer decedents who were receiving home care services between 2007 and 2014. Decedents had to have at least one home care assessment in the last 6 months of life for inclusion. Outcomes were the presence of psychosocial symptoms (i.e., anxiety, loneliness, depression, social decline, caregiver distress, and cognitive decline) at each week before death. Results Our cohort included 27,295 unique cancer decedents (30,368 assessments), of which 58% died in hospital. Fifty-six percent were older than 74, and 47% were female. The prevalence of all symptoms increased approaching death, except loneliness. Social decline (48%-78%) was the most prevalent psychosocial symptom, though loneliness was reported in less than 10% of the cohort. Caregiver distress rose over time from 15%-27%. A third of the cohort reported issues with cognitive impairment. Multivariate regression showed that physical symptoms such as uncontrolled pain, impairment in independent activities of daily living, and a high level of health instability all significantly worsened the odds of having a psychosocial symptom in the last 3 months of life. Conclusion In this large home care cancer cohort, trajectories of psychosocial symptoms worsened close to death. Physical symptoms, such as uncontrolled pain, were associated with having worse psychosocial symptoms at end of life.

Objective Previous studies report higher hospitalization rates in for-profit compared with nonprofit long-term care facilities (LTCFs), but have not included staffing data, a major potential confounder. Our objective was to examine the effect of ownership on hospital admission rates, after adjusting for facility staffing levels and other facility and resident characteristics, in a large Canadian province (British Columbia). Design Retrospective cohort study. Setting and Participants Our cohort included individuals resident in a publicly funded LTCF in British Columbia at any time between April 1, 2012 and March 31, 2016. Measures Health administrative data were extracted from multiple databases, including continuing care, hospital discharge, and Minimum Data Set (MDS 2.0) assessment records. Cox extended hazards regression was used to estimate hospitalization risk associated with facility- and resident-level factors. Results The cohort included 49,799 residents in 304 LTCF facilities (116 publicly owned and operated, 99 for-profit, and 89 nonprofit) over the study period. Hospitalization risk was higher for residents in for-profit (adjusted hazard ratio [adjHR] 1.34; 95% confidence interval [CI] 1.29–1.38) and nonprofit (adjHR 1.37; 95% CI 1.32–1.41) facilities compared with publicly owned and operated facilities, after adjustment for staffing, facility size, urban location, resident demographics, and case mix. Within subtypes, risk was highest in single-site facilities: for-profit (adjHR 1.42; 95% CI 1.36–1.48) and nonprofit (adjHR 1.38, 95% CI 1.33–1.44). Conclusions and Implications This is the first Canadian study using linked health data from hospital discharge records, MDS 2.0, facility staffing, and ownership records to examine the adjusted effect of facility ownership characteristics on hospital use of LTCF residents. We found significantly lower adjHRs for hospital admission in publicly owned facilities compared with both for-profit and nonprofit facilities. Our finding that publicly owned facilities have lower hospital admission rates compared with for-profit and nonprofit facilities can help inform decision-makers faced with the challenge of optimizing care models in both nursing homes and hospitals as they build capacity to care for aging populations.

BackgroundOne in nine emergency department (ED) visits in Canada are caused by adverse drug events, the unintended and harmful effects of medication use. Medication reviews by clinical pharmacists are interventions designed to optimize medications and address adverse drug events to impact patient outcomes. However, the effect of medication reviews on long-term outpatient health services utilization is not well understood. This research studied the effect of medication review performed by clinical pharmacists on long-term outpatient health services utilization.MethodsData included information from 10,783 patients who were part of a prospective, multi-centre quality improvement evaluation from 2011 to 2013. Outpatient health services utilization was defined as total ED visits and physician contacts, aggregated to four physician specialty groups: general and family practitioners (GP); medical specialists; surgical specialists; and imaging and laboratory specialists. During triage, patients deemed high-risk based on their medical history, were systematically allocated to receive either a medication review (n = 6403) or the standard of care (n = 4380). Medication review involved a critical examination of a patient’s medications to identify and resolve medication-related problems and communicate these results to community care providers. Interrupted time series analysis compared the effect of the intervention on health services utilization relative to the standard of care controlling for pre-intervention differences in utilization.ResultsED-based pharmacist-led medication review did not result in a significant level or trend change in the primary outcome of total outpatient health services utilization. There were also no differences in the secondary outcomes of primary care physician visits or ED visits relative to the standard of care in the 12 months following the intervention. Our findings were consistent when stratified by age, hospital site, and whether patients were discharged on their index visit.ConclusionThis was the first study to measure long-term trends of physician visits following an ED-based medication review. The lack of differences in level and trend of GP and ED visits suggest that pharmacist recommendations may not have been adequately communicated to community-based providers, and/or recommendations may not have affected health care delivery. Future studies should evaluate physician acceptance of pharmacist recommendations and should encourage patient follow-up to community providers.

Abortion Outcomes with Unrestricted Mifepristone Using population-based administrative data from Ontario, investigators found that after mifepristone became available with a normal prescription, the abortion rate remained relatively stable, the proportion of abortions provided by medication increased rapidly, and adverse events and complications remained stable, as compared with the period when mifepristone was unavailable.Background In the United States, mifepristone is available for medical abortion (for use with misoprostol) only with Risk Evaluation and Mitigation Strategy (REMS) restrictions, despite an absence of evidence to support such restrictions. Mifepristone has been available in Canada with a normal prescription since November 2017. Methods Using population-based administrative data from Ontario, Canada, we examined abortion use, safety, and effectiveness using an interrupted time-series analysis comparing trends in incidence before mifepristone was available (January 2012 through December 2016) with trends after its availability without restrictions (November 7, 2017, through March 15, 2020). Results A total of 195,183 abortions were performed before mifepristone was available and 84,032 after its availability without restrictions. After the availability of mifepristone with a normal prescription, the abortion rate continued to decline, although more slowly than was expected on the basis of trends before mifepristone had been available (adjusted risk difference in time-series analysis, 1.2 per 1000 female residents between 15 and 49 years of age; 95% confidence interval [CI], 1.1 to 1.4), whereas the percentage of abortions provided as medical procedures increased from 2.2% to 31.4% (adjusted risk difference, 28.8 percentage points; 95% CI, 28.0 to 29.7). There were no material changes between the period before mifepristone was available and the nonrestricted period in the incidence of severe adverse events (0.03% vs. 0.04%; adjusted risk difference, 0.01 percentage points; 95% CI, -0.06 to 0.03), complications (0.74% vs. 0.69%; adjusted risk difference, 0.06 percentage points; 95% CI, -0.07 to 0.18), or ectopic pregnancy detected after abortion (0.15% vs. 0.22%; adjusted risk difference, -0.03 percentage points; 95% CI, -0.19 to 0.09). There was a small increase in ongoing intrauterine pregnancy continuing to delivery (adjusted risk difference, 0.08%; 95% CI, 0.04 to 0.10). Conclusions After mifepristone became available as a normal prescription, the abortion rate remained relatively stable, the proportion of abortions provided by medication increased rapidly, and adverse events and complications remained stable, as compared with the period when mifepristone was unavailable. (Funded by the Canadian Institutes of Health Research and the Women's Health Research Institute.) Refereed/Peer-reviewed

ObjectivesTo compare differences in work disability durations of immigrant men and women injured at work to comparable Canadian-born injured workers in British Columbia, Canada.MethodsData on accepted workers compensation claims and immigration status from 1995 and 2012 were used to compare the number of work disability days paid at the 25%, 50% and 75% for immigrant and Canadian-born injured workers stratified by gender and recency of immigration.ResultsImmigrant workers comprised 8.9% (78 609) of the cohort. In adjusted quantile regression models, recent and established immigrant women received 1.3 (0.8, 1.9) and 4.0 (3.4, 4.6) more paid disability days at the 50% of the disability distribution than Canadian-born counterparts. For recent and established immigrant men, this difference was 2.4 (2.2, 2.6) and 2.7 (2.4, 4.6). At the 75%, this difference increased for recent immigrant men and established immigrant men and women but declined for recent immigrant women.ConclusionsInjured immigrants receive more work disability days than their Canadian-born counterparts except for recent immigrant women. Both immigrant status and gender matter in understanding health disparities in work disability after work injury.Keywords work disabilityimmigrant health; linked administrative data.

PURPOSE: This study aimed to investigate the impact of early versus not-early palliative care among cancer decedents on end-of-life health care costs. METHODS: Using linked administrative databases, we created a retrospective cohort of cancer decedents between 2004 and 2014 in Ontario, Canada. We identified those who received early palliative care (palliative care service used in the hospital or community 12 to 6 months before death [exposure]). We used propensity score matching to identify a control group of not-early palliative care, hard matched on age, sex, cancer type, and stage at diagnosis. We examined differences in average health system costs (including hospital, emergency department, physician, and home care costs) between groups in the last month of life. RESULTS: We identified 144,306 cancer decedents, of which 37% received early palliative care. After matching, we created 36,238 pairs of decedents who received early and not-early (control) palliative care; there were balanced distributions of age, sex, cancer type (24% lung cancer), and stage (25% stage III and IV). Overall, 56.3% of early group versus 66.7% of control group used inpatient care in the last month ( P < .001). Considering inpatient hospital costs in the last month of life, the early group used an average (±standard deviation) of $7,105 (±$10,710) versus the control group of $9,370 (±$13,685; P < .001). Overall average costs (±standard deviation) in the last month of life for patients in the early versus control group was $12,753 (±$10,868) versus $14,147 (±$14,288; P < .001). CONCLUSION: Receiving early palliative care reduced average health system costs in the last month of life, especially via avoided hospitalizations.

IntroductionResearch using linked data sets can lead to new insights and discoveries that positively impact society. However, the use of linked data raises concerns relating to illegitimate use, privacy, and security (e.g., identity theft, marginalization of some groups). It is increasingly recognized that the public needs to be consulted to develop data access systems that consider both the potential benefits and risks of research. Indeed, there are examples of data sharing projects being derailed because of backlash in the absence of adequate consultation. (e.g., care.data in the UK). Objectives and methodsThis paper describes the results of a public deliberation event held in April 2018 in Vancouver, British Columbia. The purpose of this event was to develop informed and civic-minded public advice regarding the use and the sharing of linked data for research with a focus on the processes and regulations employed to release data. The event brought together 23 members of the public over two weekends. ResultsParticipants developed and voted on 19 policy-relevant statements. Voting results and the rationale behind any disagreements are reported here. Taken together, these statements provide a broad view of public support and concerns regarding the use of linked data sets for research and offer guidance on measures that can be taken to improve the trustworthiness of policies and process around data sharing and use. ConclusionsGenerally, participants were supportive of research using linked data because of the value they provide to society. Participants expressed a desire to see the data access request process made more efficient to facilitate more research, as long as there are adequate protections in place around security and privacy of the data.

BackgroundThere is evidence in the literature that parents of children who have a developmental disability experience an increased risk of mental health problems.MethodsThis study used population-level administrative data from the Ministry of Health, British Columbia, Canada, to assess the mental health of parents of children who have a developmental disability compared with the mental health of parents of children who do not have a developmental disability. Population-level and individual explanatory variables available in the data were included in the models.ResultsAt a population level, the study found strong evidence that parents of children who have a developmental disability experience higher odds of depression or other mental health diagnoses compared with parents of children who do not have a developmental disability. Age of the parent at birth of the child, income and location of healthcare services were all associated with outcomes.ConclusionParents of children who have a developmental disability may be in need of programmes and services that support their mental health.

Objective: To characterize the incidence of select chronic comorbidities in the era of modern (pre-integrase-inhibitor) highly active antiretroviral therapy (HAART) in British Columbia, Canada.Meth...

BACKGROUND Caregivers of children with health problems (CHPs; usually mothers) experience more physical and psychological health problems than those of children without health problems (non-CHPs). Primarily cross-sectional and survey-driven, this literature has not yet explored whether these health differences existed before the birth of the CHPs, or are exacerbated postbirth. METHODS Using linked administrative health data on all mother-child dyads for children born in the year 2000 in British Columbia, Canada, we examined maternal health before, during, and after the birth of CHPs, and compared it between mothers of CHPs and non-CHPs with piecewise growth curve modeling. RESULTS Compared with mothers of non-CHPs, mothers of CHPs had more physician visits (8.09 vs. 11.07), more medication types (1.81 vs. 2.60), and were more likely to be diagnosed with selected health conditions (30.9% vs. 42.5%) 4 years before the birth of the child. Over the 7-year postbirth period, the health of the 2 groups of mothers further diverged: while mothers of CHPs showed increases on physician visits and types of medication, mothers of non-CHPs did not experience any changes in physician visits and had less steep increases for types of medication. CONCLUSIONS Health issues associated with having a child with a health problem may begin well before the birth of the child, but also appear to be exacerbated postbirth. The health challenges of caregivers of CHPs may be multifactorial, involving both preexisting conditions and the stresses associated with caring for a child with health problems.

Background Employer-sponsored health insurance, particularly for retirees with limited incomes, plays a major funding role in Canadian health care, including prescription drugs and dental services. We aimed to investigate the changes in retiree health insurance availability over time. Methods We performed a secondary analysis of data from the 2005 and 2013-2014 cycles of the Canadian Community Health Survey using multivariate logistic regression to study changes in retiree coverage availability over time in Ontario. We estimated the adjusted odds ratios of having employer coverage for likely retirees (people over age 65 yr who reported not working and those over age 75 yr), adjusting for a number of potential confounders. Sensitivity analysis was also performed for coverage of different treatments separately. Results The response rate was 76% for the 2005 cycle and 66% for 2013-2014 for the entire survey. The characteristics of respondents in the 2 survey cycles were similar, except respondents in 2013-2014 were wealthier. In our adjusted model, respondents in 2013-2014 had lower odds of reporting retiree coverage than respondents in 2005 (adjusted odds ratio 0.87; 95% confidence interval 0.77-0.99). This represents an absolute reduction in the probability of receiving retiree coverage of up to 3.4%. Interpretation Our analysis suggests that the rate of retiree health insurance has declined for Canadians with similar characteristics over the past decade. As we know insurance coverage has a strong association with use of treatments such as prescription drugs and dental care, this decline may result in decreased access to treatment and is an issue that warrants further investigation.

Primary care is the foundation of health care systems around the world. Physician autonomy means that governments rely on a limited selection of levers to implement reforms in primary care delivery, and these policies may impact the practice choices, intentions, and patterns of primary care physicians. Using a systematic search strategy to capture publicly available policy documents, we conducted a scan of such policies from 1998 to 2018 in three Canadian provinces: British Columbia, Nova Scotia, and Ontario. We reviewed 388 documents and extracted 170 policies from their texts, followed by analysis of the policies' instruments, actors, and topic areas. Policy reforms across the three provinces were primarily focused on physician payment, with governments relying on both targeted incentives and reformed payment models. Policies also employed various instruments to target priority areas of practice: 24/7 access to care, team-based primary care, unattached patients, eHealth, and rural/Northern recruitment of physicians. Across the three provinces and the 20-year timespan, reform priorities and instruments were largely uniform, with Ontario's policies tending to be the most diverse. Physicians helped shape reforms through the agreements negotiated between provincial governments and medical associations, influencing the topics and timing of reforms. Future research should evaluate impacts on the delivery of primary care and explore opportunities for policy innovation.

Background Inpatient palliative care is associated with lower inpatient costs; however, this has yet to be studied using a more nuanced, multi-tiered measure of inpatient palliative care and a national population-representative dataset. Using a population-based cohort of Canadians who died in hospital, our objectives were to: describe patients’ receipt of palliative care and active interventions in their terminal hospitalization; and examine the relationship between inpatient palliative care and hospitalization costs. Methods Retrospective cohort study using data from the Discharge Abstract Database in Canada between fiscal years 2012 and 2015. The cohort were Canadian adults (age ≥ 18 years) who died in hospital between April 1st, 2012 and March 31st, 2015 (N = 250,640). The exposure was level of palliative care involvement defined as: medium-high, low, or no palliative care. The main measure was acute care costs calculated using resource intensity weights multiplied by the cost of standard hospital stay, represented in 2014 Canadian dollars (CAD). Descriptive statistics were represented as median (IQR), and n(%). We modelled cost as a function of palliative care using a gamma generalized estimating equation (GEE) model, accounting for clustering by hospital. Results There were 250,640 adults who died in hospital. Mean age was 76 (SD 14), 47% were female. The most common comorbidities were: metastatic cancer (21%), heart failure (21%), and chronic obstructive pulmonary disease (16%). Of the decedents, 95,450 (38%) had no palliative care involvement, 98,849 (38%) received low involvement, and 60,341 (24%) received medium to high involvement. Controlling for age, sex, province and predicted hospital mortality risk at admission, the cost per day of a terminal hospitalization was: $1359 (95% CI 1323: 1397) (no involvement), $1175 (95% CI 1146: 1206) (low involvement), and $744 (95% CI 728: 760) (medium-high involvement). Conclusions Increased involvement of palliative care was associated with lower costs. Future research should explore whether this relationship holds for non-terminal hospitalizations, and whether palliative care in other settings impacts inpatient costs.

The COVID-19 pandemic has triggered a significant growth in government surveillance techniques globally, primarily through the use of cell phone applications. However, although these applications can have actionable effects on public health efforts to control pandemics, the participatory or voluntary nature of these measures is obscuring the relationship between health information and traditional government surveillance techniques, potentially preventing effective oversight. Public health measures have traditionally been resistant to the integration of government-led intelligence techniques, such as signals intelligence (SIGINT), because of ethical and legal issues arising from the nature of surveillance techniques.We explore this rise of participatory SIGINT and its nature as an extension of biosurveillance through 3 drivers: the rise of surveillance capitalism, the exploitation of a public health crisis to obscure state of exception politics with a moral imperative, and the historically enduring nature of emergency-implemented surveillance measures.We conclude that although mobile applications may indeed be useful in containing pandemics, they should be subject to similar oversight and regulation as other government intelligence collection techniques.

BackgroundSofosbuvir and ledipasvir-sofosbuvir are both newer direct-acting antiviral agents for the treatment of hepatitis C. The high list prices for both drugs have led to concern about the budget impact for public drug coverage programs. Therefore, we studied the impact of public prescription drug coverage for both drugs on utilization, adherence, and public and private expenditure in British Columbia, Canada.MethodsWe used provincial administrative claims data from January 2014 to June 2017 for all individuals historically tested for either hepatitis C and/or human immunodeficiency virus. Using interrupted time series analysis, we examined the impact of public insurance coverage on treatment uptake, adherence (proportion of days covered), and public and private expenditures.ResultsOver our study period, 4,462 treatment initiations were eligible for analysis (1,131 sofosbuvir and 3,331 ledipasvir-sofosbuvir, which include 19 patients initiated on both treatments). We found the start of public coverage for sofosbuvir and ledipasvir-sofosbuvir increased treatment uptake by 154%. Adherence rates were consistently high and did not change with public coverage. Finally, public expenditure increased after the policy change, and crowded out some private expenditure.ConclusionPublic coverage for high-cost drugs for hepatitis C dramatically increased use of these drugs, but did not reduce adherence. From a health policy perspective, public payers should be prepared for increased treatment uptake following the availability of public coverage. However, they should not be concerned that populations without private insurance coverage will be less adherent and not finish their treatment course.

Objective: Frequent emergency department (ED) users are heterogeneous. We aimed to identify subgroups and assess their mortality. Methods: We identified patients ≥18 years with ≥1 ED visit in British Columbia from April 1, 2012 to March 31, 2015, and linked to hospitalization, physician billing, prescription, and mortality data. Frequent users were the top 10% of patients by ED visits. We employed cluster analysis to identify frequent user subgroups. We assessed 365‐day mortality using Kaplan‐Meier curves and conducted Cox regressions to assess mortality risk factors within subgroups. Results: We identified 4 subgroups. Subgroup 1 (“Elderly”) had median age 77 years (interquartile range [IQR]: 66–85), 5 visits/year (IQR: 4–6), median 8 prescription medications (IQR: 5–11), and 24.7% mortality. Subgroup 2 (“Mental Health and Alcohol Use”) had median age 48 years (IQR: 34–61), 13 visits/year (IQR: 10–16), and 12.3% mortality. They made a median 31 general practitioner visits (IQR: 19–51); however, only 23.7% received a majority of services from 1 primary care physician. Subgroup 3 (“Young Mental Health”) had median age 39 years (IQR: 28–51), 5 visits/year (IQR: 4–6), and 2.2% mortality. Subgroup 4 (“Short‐term”) had median age 50 years (IQR: 34–65), 4 visits/year (IQR: 4–5) regularly spaced over a short term, and 1.4% mortality. Male sex (all subgroups), long‐term care (“Mental Health and Alcohol Use;” “Young Mental Health”), and rural residence (“Elderly” in long‐term care; “Young Mental Health”) were associated with increased mortality. Conclusions: Our results identify frequent user subgroups with varying mortality. Future research should explore subgroups’ unmet needs and tailor interventions toward them.

In this Commentary, we argue that in line with the dramatic increase in the collection, storage, and curation of human genomic data for biomedical research, genomic data repositories and consortia have adopted governance frameworks to address the dual objectives of enabling wide access while protecting against possible harms. However, there are ongoing debates in the scientific community about the merits and limitations of different governance frameworks in achieving these twin aims; and indeed, best practices and points for consideration are notably absent when it comes to devising a governance framework for genomic databases. Based on our collective experience of devising and assessing governance frameworks, our Commentary identifies five key functions of “good governance” (or what makes “better governance”) and three areas where trade-offs should be considered when specifying policies within those functions. We apply these functions as a benchmark to describe, as an example, the governance frameworks of six large-scale international genomic projects. ispartof: NATURE GENETICS vol:53 issue:1 pages:2-8 ispartof: location:United States status: published

IntroductionNotwithstanding Canada’s exceptional longitudinal health data and research centres with extensive experience transforming data into knowledge, many Canadian studies based on linked administrative data have focused on a single province or territory. Health Data Research Network Canada (HDRN Canada), a new not-for-profit corporation, will bring together major national, provincial and territorial health data stewards from across Canada. HDRN Canada’s first initiative is the $81 million SPOR Canadian Data Platform funded under the Canadian Institutes of Health Research Strategy for Patient-Oriented Research (SPOR). Objectives and ApproachHDRN Canada is a distributed network through which individual data-holding centres work together to (i) create a single portal and support system for researchers requesting multi-jurisdictional data, (ii) harmonize and validate case definitions and key analytic variables across jurisdictions, (iii) expand the sources and types of data linkages, (iv) develop technological infrastructure to improve data access and collection, (v) create supports for advanced analytics and (vi) establish strong partnerships with patients, the public and with Indigenous communities. We will share our experiences and gather international feedback on our network and its goals from symposium participants. ResultsIn January 2020, HDRN Canada launched its Data Access Support Hub (DASH) which includes an inventory listing over 380 datasets, information about more than 120 algorithms and a repository of requirements and processes for accessing data. HDRN Canada is receiving requests for multi-province research studies that would be challenging to conduct without HDRN Canada. Conclusion / ImplicationsThus far, HDRN Canada services and tools have been developed primarily for Canadian researchers but HDRN Canada can also serve as a prompt for an international discussion about what has/has not worked in terms of multi-jurisdictional research data infrastructure. It can also present an opportunity for the development of metadata, standards and common approaches that support more multi-country research.

Introduction“The Consensus Statement on Public Involvement and Engagement with Data-Intensive Health Research”, recent data breaches, and growing public awareness and controversy associated with secondary use of health data all highlight the need to understand what data sharing the public will support, under what circumstances, for what purposes and with whom. Objectives and ApproachThis symposium explores methods and findings from public engagement at all stages of data linkage research, beginning with short presentations (~6-8 minutes) on recent work: Mhairi Aitken: Consensus Statement - principles and an application using deliberative workshops to explore public expectations of public benefits from data-intensive health research Annette Braunack-Mayer/Felicity Flack: Surveys and citizens’ juries: Sharing government data with private industry Kim McGrail/Mike Burgess: Public deliberations on cross-sector data linkage, and combining public and private sources of data Alison Paprica: Plain language communication informed by Health Data Research Network Canada’s Public Advisory Council. Half the session will be spent interacting with the audience through live polling. The moderator will post a series of poll question such as “What is the most important thing for meaningful public engagement?” to prompt audience thinking on the topic. After the audience responses are revealed, panelists will share their own views about what they think is the best answer, and the main reason(s) behind their choice. The last 10-15 minutes of the session will be reserved for Q&A and dialogue with the audience. ResultsWe anticipate that this approach will surface emerging and tacit knowledge from presenters and the audience, and augment that through generative discussion. Conclusion / ImplicationsSession attendees will leave with a better understanding of the current state of knowledge and ways to talk about that understanding with other researchers, policy makers and the public.

IntroductionPrivacy-preserving Record Linkage (PPRL) is a record linkage technique that can increase the security of personal information. PPRL uses techniques of either hashing identifiers (where exact matches are required) or Blooming identifiers (where partial matches are of interest before they are provided for linkage. Objectives and ApproachWe use LinXmart software to evaluate performance of PPRL linkage compared to linkage using clear text identifiers. The test linkage dataset is one that is routinely linked (N=2,672,257) at our linkage centre. The population spine (N=8,440,442) includes a record for every person who has resided in British Columbia, Canada over the past 30 years. Weights were determined using LinXmart’s implementation of the Expectation Maximization (EM) algorithm. For both linkages, accepted links were the highest-weighted candidate link with a weight above the threshold suggested by EM estimation. We compare linkage rates and quality and differences in weight and threshold estimations between clear-text and PPRL linkages ResultsClear-text and PPRL methods resulted in 97% and 90% linkage rates, respectively. Approximately 67% of records in the linked datasets contained a nominally unique ID. Records with a unique ID linked at higher rates (>99% for both clear-text and PPRL) while the linkage rate for records missing the ID differed substantially (92% /70% for clear-text/PPRL). Comparing PPRL linkage to the clear-text linkage, we obtain F-measures of 0.99 and 0.80 for records with and without the unique ID, respectively. Conclusion / ImplicationsLinkage performance may be attributable to differences in comparison operators between the two methods. Bloomed fields compared with Dice coefficient allow for partial matching but may not be as sensitive as clear-text string comparisons. Numerical comparisons in PPRL are exact matches while clear-text comparisons allow for more sophisticated matching. Further refinements in PPRL are being explored to improve these results.

Introduction Privacy-Preserving Record Linkage (PPRL) presents opportunities to improve privacy protection when performing record linkage on the most sensitive data. Currently our linkage agency performs all linkages in clear text, but expansion of data sources is now including extremely sensitive data, such as justice data. Understanding that specific circumstances may demand different approaches to linkage, we evaluated a PPRL algorithm implemented through the LinXmart software. This is the first real-world evaluation of PPRL in British Columbia and among the first in Canada. Objectives and Approach Our standard linkage method is probabilistic and relies on rules established by analysts to determine accepted links. Datasets are linked to a population spine (N=8,440,442) containing all current and past residents of the province. LinXmart was configured to link to the top weighted candidate above a predetermined confidence threshold. We evaluated performance by comparing the standard method to PPRL for three increasingly complex (messy) datasets. Initial results on the simplest/cleanest dataset informed an iterative process to improve implementation of PPRL. Results Overall linkage rates were lower for standard linkage (81%) compared to PPRL (90%). Records with a unique ID linked at similarly high rates in clear-text and PPRL, while the performance of PPRL with records without the unique ID varied depending on the exact parameters chosen for the match threshold and field comparisons. Conclusion / Implications This work suggests that for datasets that include a well-populated unique identifier, PPRL can be implemented in real-world linkages without a substantial drop-off in linkage quality. Messier data require careful tuning of linkage parameters to match the performance of clear linkage. PPRL may best be used in cases where clear text identifiers cannot be shared, and where some degradation in linkage rates is acceptable.

Administrative health data is recognized for its value for conducting population-based research that has contributed to numerous improvements in health. In Canada, each province and territory is responsible for administering its own publicly funded health care program, which has resulted in multiple sets of administrative health data. Challenges to using these data within each of these jurisdictions have been identified, which are further amplified when the research involves more than one jurisdiction. The benefits to conducting multi-jurisdictional studies has been recognized by the Canadian Institutes of Health Research (CIHR), which issued a call in 2017 for proposals that address the challenges. The grant led to the creation of Health Data Research Network Canada (HDRN), with a vision is to establish a distributed network that facilitates and accelerates multi-jurisdictional research in Canada. HDRN received funding for seven years that will be used to support the objectives and activities of an initiative called the Strategy for Patient-Oriented Research Canadian Data Platform (SPOR-CDP). In this paper, we describe the challenges that researchers face while using, or considering using, administrative health data to conduct multi-jurisdictional research and the various ways that the SPOR-CDP will attempt to address them. Our objective is to assist other groups facing similar challenges associated with undertaking multi-jurisdictional research.

Background A minority of individuals use a large portion of health system resources, incurring considerable costs, especially in acute-care hospitals where a significant proportion of deaths occur. We sought to describe and contrast the characteristics, acute-care use and cost in the last year of life among high users and non-high users who died in hospitals across Canada. Methods We conducted a population-based retrospective-cohort study of Canadian adults aged ≥18 who died in hospitals across Canada between fiscal years 2011/12–2014/15. High users were defined as patients within the top 10% of highest cumulative acute-care costs in each fiscal year. Patients were categorized as: persistent high users (high-cost in death year and year prior), non-persistent high users (high-cost in death year only) and non-high users (never high-cost). Discharge abstracts were used to measure characteristics and acute-care use, including number of hospitalizations, admissions to intensive-care-unit (ICU), and alternate-level-of-care (ALC). Results We identified 191,310 decedents, among which 6% were persistent high users, 41% were non-persistent high users, and 46% were non-high users. A larger proportion of high users were male, younger, and had multimorbidity than non-high users. In the last year of life, persistent high users had multiple hospitalizations more often than other groups. Twenty-eight percent of persistent high users had ≥2 ICU admissions, compared to 8% of non-persistent high users and only 1% of non-high users. Eleven percent of persistent high users had ≥2 ALC admissions, compared to only 2% of non-persistent high users and Conclusions High users – persistent and non-persistent – are medically complex and use a disproportionate amount of acute-care resources at the end of life. A greater understanding of the characteristics and circumstances that lead to persistently high use of inpatient services may help inform strategies to prevent hospitalizations and off-set current healthcare costs while improving patient outcomes.

The international research community is mobilising an unprecedented response to COVID-19, including more than 2500 registered clinical trials [1, 2]. There are also at least 100 observational studies based on administrative and routinely collected healthcare data [3, 4]. The small upfront effort to allow linkage of administrative data, registries, electronic medical records, and personal health records (collectively referred to as medical databases) to the trial data should create significant returns in scientific insight. However, to our knowledge, only a small number of COVID-19 trials are leveraging medical databases by linking to them. The solution is simple and is a golden opportunity which should not be missed. As demonstrated by the West of Scotland Coronary Prevention Study (WOSCOPS) 20-year Followup Study [5], a major advantage of linkage is that administrative data can be used for follow up so that researchers can identify events that occur, including those that happen long after the study’s original time period for active assessment of participants has ended. More specifically, the WOSCOPS 20- year Follow-up Study found that statin treatment for five years in the original 1989 trial was associated with a legacy benefit, with improved survival and a substantial reduction in cardiovascular disease outcomes over a 20-year period in a high-risk cohort of men [6]. Further, the cost of follow-up assessment using medical databases was very low compared to the bespoke data collection of the original trial, costing on the order of tens of thousands rather than millions of dollars [7]. More recently, the UK RECOVERY trial of therapies for COVID-19 was the first to identify a survival benefit of dexamethasone in high-risk hospitalised patients with COVID-19. The study included linkage of trial-specific data and data from routine healthcare and registry sources. Using expedited access to existing medical databases, RECOVERY investigators were able rapidly to determine information on vital status (e.g., date and cause of death); discharge from hospital; intensive care use; and renal replacement therapy [8]. The RECOVERY trial’s speed and comprehensiveness deserve praise [9], both of which were enabled by linkage to medical databases. Linkage to medical databases in trials can reduce cost (and thereby allow larger trials within an existing budget), increase speed (particularly if near real-time data flows can be achieved), support more complete long-term follow-up, and allow multiple outcomes to be monitored. In the case of COVID-19, it could also help researchers go beyond prospective analysis and forecasts based on COVID-19 cases, bringing in additional information about patient characteristics and past health system use. Combining clinical and health services research expertise will increase our understanding of the relevance of comorbidities, demographic factors and prior health system utilisation on the effects of COVID-19. As per the WOSCOPS 20-year Follow up Study example, linkage could also enable the assessment of the long-term impacts of interventions for COVID19, including experimental drugs and vaccines, years after clinical trials end, and at greatly reduced cost relative to bespoke data collection. Rare outcomes could be studied at scale and provide robust evidence regarding the safety of new vaccines, and thereby reassure regulators and the public that potential risks are carefully monitored [10]. There are, of course, caveats. Use of medical databases in trials requires full understanding of data quality limitations, excellent knowledge of database holdings, and case validation work [7]. It is also important that the public and trial participants support use of their data in trials [7, 11, 12]. Effective partnerships between trialists and medical database stewards will be essential, and Health Data Research UK (HDR UK) and Health Data Research Network Canada (HDRN Canada) have already begun to support this. For example, HDRN Canada organisations have developed standardised text that trialists can use when seeking participant informed consent for data linkage [13, 14], and the HDR UK Health Data Hub for clinical trials, NHS DigiTrials, delivered in partnership with NHS Digital, is providing services to improve the assessment of clinical trial feasibility, which has successfully contributed to the RECOVERY trial [15, 16]. Many countries around the world are creating COVID-19 trial datasets and databases of COVID-19-related data such as test results that cover entire populations. It is our strong recommendation, and sincere hope, that these data assets will be brought together through record linkage so that their scientific value and impact for society can be amplified. We call on trialists, data stewards and research funders to work together so that prospective linkage of trial data to medical databases becomes the norm, starting with COVID-19 trials.

Introduction Across the world, data sources to support learning in primary care (PC) lag far behind that of acute care. Having comparable data sources across jurisdictions is essential for scaling and spreading healthcare learnings. Objectives The purpose of this work was to 1) identify and develop indicators of PC performance using administrative data and 2) examine the comparability of indicator definitions across three Canadian provinces (Nova Scotia, Ontario, British Columbia). This work is valuable for demonstrating how to arrive at comparable administrative data indicators across jurisdictions with different care patterns. Methods The TRANSFORMATION study is a multi-province Canadian study of PC that aims to improve PC performance measurement reporting. We initially compiled a list of PC performance indicators that had been used with existing administrative data. We followed and documented an iterative process to achieve comparable indicator operationalizations across the three provinces in Canada. Results Our final list included 21 PC performance indicators pertaining to 1) technical care (n=4), 2) continuity of care (n=6), and 3) health services utilization (n=11). Establishing comparability between these PC performance indicators was possible. The main challenge was major differences in data characteristics and available resources including pre-existing algorithms used in each province to define the indicators. We present examples of these differences including the identification of patients with diabetes and of bone mineral density measurement. Conclusion Arriving at comparable definitions of PC performance indicators using administrative data is challenging and time-consuming, but possible — even without data pooling. Through an iterative and well-documented process, research teams and policy-makers can develop and establish comparability of PC performance indicators that can help in supporting continuous improvements in healthcare system performance. More work is necessary to standardize approaches and optimize the comparability of PC performance indicators across jurisdictions.

Introduction Across the world, data sources to support learning in primary care (PC) lag far behind that of acute care. Having comparable data sources across jurisdictions is essential for scaling and spreading healthcare learnings. Objectives The purpose of this work was to 1) identify and develop indicators of PC performance using administrative data and 2) examine the comparability of indicator definitions across three Canadian provinces (Nova Scotia, Ontario, British Columbia). This work is valuable for demonstrating how to arrive at comparable administrative data indicators across jurisdictions with different care patterns. Methods The TRANSFORMATION study is a multi-province Canadian study of PC that aims to improve PC performance measurement reporting. We initially compiled a list of PC performance indicators that had been used with existing administrative data. We followed and documented an iterative process to achieve comparable indicator operationalizations across the three provinces in Canada. Results Our final list included 21 PC performance indicators pertaining to 1) technical care (n=4), 2) continuity of care (n=6), and 3) health services utilization (n=11). Establishing comparability between these PC performance indicators was possible. The main challenge was major differences in data characteristics and available resources including pre-existing algorithms used in each province to define the indicators. We present examples of these differences including the identification of patients with diabetes and of bone mineral density measurement. Conclusion Arriving at comparable definitions of PC performance indicators using administrative data is challenging and time-consuming, but possible — even without data pooling. Through an iterative and well-documented process, research teams and policy-makers can develop and establish comparability of PC performance indicators that can help in supporting continuous improvements in healthcare system performance. More work is necessary to standardize approaches and optimize the comparability of PC performance indicators across jurisdictions.

Background: Exposure to fine particulate matter (PM2.5) during wildfire seasons has been associated with adverse health outcomes. Previous studies have focused on daily exposure, but PM2.5 levels in smoke events can vary considerably within 1 d. Objectives: We aimed to assess the immediate and lagged relationship between sub-daily exposure to PM2.5 and acute health outcomes during wildfire seasons in British Columbia. Methods: We used a time-stratified case-crossover study design to evaluate the association between modeled hourly PM2.5 and ambulance dispatches during wildfire seasons from 2010 to 2015. Distributed lag nonlinear models were used to estimate the lag-specific and cumulative odds ratios (ORs) at lags from 1 to 48 h. We examined the relationship for all dispatches and dispatches related to respiratory, circulatory, and diabetic conditions, identified by codes for ambulance dispatch (AD), paramedic assessment (PA) or hospital diagnosis (HD). Results: Increased respiratory health outcomes were observed within 1 h of exposure to a 10-μg/m3 increase in PM2.5. The 48-h cumulative OR [95% confidence interval (CI)] was 1.038 (1.009, 1.067) for the AD code Breathing Problems and 1.098 (1.013, 1.189) for PA code Asthma/COPD. The point estimates were elevated within 1 h for the PA code for Myocardial Infarction and HD codes for Ischemic Heart Disease, which had 24-h cumulative ORs of 1.104 (0.915, 1.331) and 1.069 (0.983, 1.162), respectively. The odds of Diabetic AD and PA codes increased over time to a cumulative 24-h OR of 1.075 (1.001, 1.153) and 1.104 (1.015, 1.202) respectively. Conclusions: We found increased PM2.5 during wildfire seasons was associated with some respiratory and cardiovascular outcomes within 1 h following exposure, and its association with diabetic outcomes increased over time. Cumulative effects were consistent with those reported elsewhere in the literature. These results warrant further investigation and may have implications for the appropriate time scale of public health actions. https://doi.org/10.1289/EHP5792

Background Higher staffing levels in long-term care have been associated with better outcomes for residents in several landmark studies. However previous systematic reviews found mixed results, calling into question the effectiveness of higher levels of staff. With persistent concerns about quality, rising resident acuity, and a growing demographic of seniors requiring more services, understanding the relationship between quality and long-term care staffing is a growing concern. Objectives This review considered the following question: What is the influence of nursing and personal care staffing levels (registered nurse, licensed practical nurse, and nursing assistant) and / or skill mix on long-term care residents, measured by quality of care indicators? Design Preferred Reporting Items for Systematic Review and Meta-analysis Protocols guided the report of this systematic review. Data sources Published articles focused on quality and nursing and personal care staffing in long-term care in peer-reviewed databases (MEDLINE, CINAHL, and AGELINE) and several Cochrane databases to retrieve studies published between January 2008 and June 2020. Review methods A systematic review was conducted. 11,096 studies were identified, of which 34 were included in this review. The Strengthening the Reporting of Observational Studies in Epidemiology checklist was used to evaluate study quality and risk of bias, and five quality measures were selected for in-depth analyses: pressure ulcers, hospitalizations, physical restraints, deficiencies and catherization. Results This review confirms previous review findings that evidence on the relationships between quality and long-term care staffing level and skill mix, remain mixed. Higher staffing levels and skill mix generally supported better rather than worse outcomes. Significant and consistent findings were more evident when staffing levels were further analyzed by indicator and staffing category. For example, registered nurses were consistently associated with significantly fewer pressure ulcers, hospitalizations, and urinary tract infections. Few studies examined the impact of total nursing and personal care hours compared to the impact of specific categories or classes of nursing staff on outcomes. Conclusions Evidence on the relationship between quality and long-term care staffing remains mixed, however some categories of nursing staff may be more effective at improving the quality of certain indicators. Study quality has improved minimally over the last decade. Although research continues to standardize units of measurement, and longitudinal and instrumental variable analyses are increasingly being used, very few studies controlled for endogeneity, conducted adequate risk-adjustment, and used resident-level data. Additional strides must still be made to improve the rigor of long-term care staffing research.