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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.

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.

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.

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.

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.

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.

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.

Introduction: Increasingly, the label data trust is being applied to repeatable mechanisms or approaches to sharing data in a timely, fair, safe and equitable way. However, there is a gap in terms of practical guidance about how to establish and operate a data trust. Aim and Approach: In December 2019, the Canadian Institute for Health Information and the Vector Institute for Artificial Intelligence convened a working meeting of 19 people representing 15 Canadian organizations/initiatives involved in data sharing, most of which focus on public sector health data. The objective was to identify essential requirements for the establishment and operation of data trusts. Preliminary findings were presented during the meeting then refined as participants and co-authors identified relevant literature and contributed to this manuscript. Results: Twelve (12) minimum specification requirements (min specs) for data trusts were identified. The foundational min spec is that data trusts must meet all legal requirements, including legal authority to collect, hold or share data. In addition, there was agreement that data trusts must have (i) an accountable governing body which ensures the data trust advances its stated purpose and is transparent, (ii) comprehensive data management including responsible parties and clear processes for the collection, storage, access, disclosure and use of data, (iii) training and accountability requirements for all data users and (iv) ongoing public and stakeholder engagement. Conclusion / Implications: Based on a review of the literature and advice from participants from 15 Canadian organizations/initiatives, practical guidance in the form of twelve min specs for data trusts were agreed on. Public engagement and continued exchange of insights and experience is recommended on this evolving topic., Comment: 17 pages including references, 1 text box

IntroductionSleep-time blood pressure correlates more strongly with adverse cardiovascular events than does daytime blood pressure. The BedMed trial evaluates whether bedtime antihypertensive administration, as compared with conventional morning use, reduces major adverse cardiovascular events.Methods and analysisDesignProspective randomised, open-label, blinded end-point trial.ParticipantsHypertensive primary care patients using blood pressure lowering medication and free from glaucoma.SettingCommunity primary care providers in 5 Canadian provinces (British Columbia, Alberta, Saskatchewan, Manitoba and Ontario) are mailing invitations to their eligible patients. Social media campaigns (Google, Facebook) are additionally running in the same provinces.InterventionConsenting participants are allocated via central randomisation to bedtime vs morning use of all antihypertensives.Follow-up(1) Telephone or email questionnaire at 1 week, 6 weeks, 6 months and every 6 months thereafter, and (2) accessing linked governmental healthcare databases tracking hospital and community medical services.Primary outcomeComposite of all-cause death, or hospitalisation for myocardial infarction/acute-coronary syndrome, stroke or congestive heart failure.Secondary outcomesEach primary outcome element on its own, all-cause hospitalisation or emergency department visit, long-term care admission, non-vertebral fracture, new glaucoma diagnosis, 18-month cognitive decline from baseline (via Short Blessed Test).Select other outcomesSelf-reported nocturia burden at 6 weeks and 6 months (no, minor or major burden), 1-year self-reported overall health score (EQ-5D-5L), self-reported falls, total cost of care (acute and community over study duration) and mean sleep-time systolic blood pressure after 6 months (via 24-hour monitor in a subset of 302 sequential participants).Primary outcome analysisCox proportional hazards survival analysis.Sample sizeThe trial will continue until a projected 254 primary outcome events have occurred.Current statusEnrolment ongoing (3227 randomised to date).Ethics and disseminationBedMed has ethics approval from six research ethics review boards and will publish results in a peer-reviewed journal.Trial registration numberNCT02990663.

Breast cancer screening programs operate across Canada providing mammography to women in target age groups with the goal of reducing breast cancer mortality through early detection of tumors. Disparities in breast screening participation among socio‐demographic groups, including immigrants, have been reported in Canada. Our objectives were to: (1) assess breast screening participation and retention among immigrant and nonimmigrant women in British Columbia (BC), Canada; and (2) to characterize factors associated with screening among screening‐age recent immigrant women in BC. We examined 2 population‐based cohorts of women eligible for breast screening participation (537 783 women) and retention (281 052 women) using linked health and immigration data. Breast screening rates were presented according to socio‐demographic and health‐related variables stratified by birth country. Factors associated with screening among recent immigrant women were explored using Poisson regression. We observed marked variation in screening participation across birth country cohorts. Eastern European/Central Asian women showed low participation (37.9%) with rates from individual countries ranging from 35.0% to 49.0%. Participation rates for immigrant women from the most common birth countries, such as China/Macau/Hong Kong/Taiwan (45.7%), India (44.5%), the Philippines (45.9%), and South Korea (39.0%), were lower than the nonimmigrant rates (51.2%). Retention rates showed less variation by birth country; however, some disparities between immigrant and nonimmigrant groups persisted. Associations between screening indicators and study factors varied considerably across immigrant groups. Primary care physician visits were consistently positively associated with screening participation; this variable was also the only predictor associated with screening within each of the groups of recent immigrants. Our study provides unique data on both screening participation and retention among Canadian immigrant women compiled by individual country of birth. Our results are further demonstration that screening disparities exist among immigrant populations as well as in comparison with nonimmigrant women.

Objectives Canadian policy allowing mifepristone medication abortion without regulations limiting practice is globally unique. The objective of this study was to examine the impact of Canadian deregulated medication abortion policy on abortion utilization and complications. Methods We used linked administrative data (billing, hospital, ambulatory care, and prescription records) from Ontario to examine the 306,750 surgical and medication abortions from January 2012 to December 2019. We examined medication abortion utilization, second trimester abortion, abortion-related complications (infection, hemorrhage, embolism, shock, damage to pelvic organs, other venous complications), surgical follow-up (laparotomy, laparoscopy, hysterectomy), aspiration/re-aspiration, and ongoing pregnancy within 6 weeks of the abortion. We compared incidences before and after mifepristone deregulation (2012-2016 vs. 2018-2019). Results Medication abortion utilization increased substantially from 2.4% of all abortions from 2012-2016 to 30.9% in 2018-2019. Second trimester abortion decreased from 6.0% [95% CI 5.7-6.2] before to 5.3% [5.2-5.5] after mifepristone deregulation. Among the 289,013 first trimester abortions, complications were similar before and after deregulation: abortion-related complication incidence was 0.65% [0.62-0.69] before and 0.60% [0.55-0.66] after. Surgical follow-up was similar in both periods, occurring in 0.05% [0.04-0.06] before and 0.05% [0.04-0.07] after deregulation. Aspiration/re-aspiration increased modestly from 0.05% [0.04-0.06] to 0.12% [0.09-0.14], as did ectopic pregnancy diagnosed after the abortion, from 0.15% [0.13-0.17] to 0.22% [0.19-0.26]. Ongoing intrauterine pregnancy continuing to delivery increased from 0.07% [0.06-0.09] to 0.30% [0.27-0.35], while ongoing pregnancy continuing to subsequent abortion increased from 0.94% [0.90-0.99] to 1.49% [1.40-1.58]. Conclusions Canada's globally unique deregulation of mifepristone medication abortion substantially increased medication abortion utilization and was not associated with a clinically significant increase in abortion complications or ongoing pregnancy.

Objectives Delayed discharge, remaining in acute care longer than medically necessary, reflects less than optimal use of hospital care resources and can have negative implications for patients. We studied (1) the change over time in delayed discharge in people with and without dementia, and (2) the association of delayed discharge with discharge destination and with the continuity of primary care prior to urgent admission. Design A retrospective population-based study. Setting and Participants Delayed discharge after urgent admission and length of delayed discharge were studied in all hospital users aged ≥70 years with at least 1 urgent admission in British Columbia, Canada, in years 2001/02, 2005/06, 2010/11, and 2015/16 (N = 276,299). Methods Linked administrative data provided by Population Data BC were analyzed using generalized estimating equations (GEE), logistic regression analysis, and negative binomial regression analyses. Results Delayed discharge increased among people with dementia and decreased among people without dementia, whereas the length of delay decreased among both. Dementia was the strongest predictor of delayed discharge [odds ratio 4.76; 95% confidence interval (CI) 4.59–4.93], whereas waiting for long-term care placement [incidence rate ratio (IRR) 1.56; 95% CI 1.50–1.62] and dementia (IRR 1.50; 95% CI 1.45–1.54) predicted a higher number of days of delay. Continuity and quantity of care with the same physician before urgent admission was associated with a decreased risk of delayed discharge, especially in people with dementia. Conclusions and Implications This study demonstrates the need for better system integration and patient-centered care especially for people with dementia. Population aging will likely increase the number of patients at risk of delayed discharge. Delayed discharge is associated with both the patient's complex needs and the inability of the system to meet these needs during and after urgent care. Sufficient investments are needed in both primary care and long-term care resources to reduce delayed discharges.

Pour notre sondage, nous avons utilise une methodologie mixte basee sur le Web (How's Your Health–Frail) pour examiner la sante des adultes fragiles (78% âges de 80 ans et plus) inscrits a un programme de soins primaires a domicile a Vancouver, au Canada. Soixante pour cent des repondants admissibles ont participe, representant plus d'un quart (92/350, 26,2%) de tous les individus qui recoivent le service. Malgre des niveaux eleves de co-morbidite et de dependance fonctionnelle, 50% ont juge leur sante aussi bonne, tres bonne ou excellente. Les ratios de cotes ajustes pour l'auto-evaluation de sa sante positive etaient de 7,50, 95 pour cent d'intervalle de confiance (IC) [1,09, 51,81] et 4,85, 95% CI [1,02, 22,95] pour l'absence de symptomes genants et le pouvoir de parler a la famille ou amis, respectivement. Des reponses narratives aux questions sur la fin de vie et la vie avec une maladie sont egalement decrites. Les resultats suggerent que l'accent mis sur la gestion des symptomes, et le soutien des contacts sociaux, peut ameliorer la sante des personnes âgees fragiles. ABSTRACT: We used a web-based mixed methods survey (HowsYourHealth–Frail) to explore the health of frail older (78% age 80 or older) adults enrolled in a home-based primary care program in Vancouver, Canada. Sixty per cent of eligible respondents participated, representing over one quarter (92/350, 26.2%) of all individuals receiving the service. Despite high levels of co-morbidity and functional dependence, 50 per cent rated their health as good, very good, or excellent. Adjusted odds ratios for positive self-rated health were 7.50, 95 per cent CI [1.09, 51.81] and 4.85, 95 per cent CI [1.02, 22.95] for absence of bothersome symptoms and being able to talk to family or friends respectively. Narrative responses to questions about end of life and living with illness are also described. Results suggest that greater focus on symptom management, and supporting social contact, may improve frail seniors' health.

BACKGROUND: Income-based deductibles are present in several provincial public drug plans in Canada and have been the subject of extensive debate. We studied the impact of such deductibles in British Columbia’s Fair PharmaCare plan on drug and health care utilization among older adults. METHODS: We used a quasi-experimental regression discontinuity design to compare the impact of deductibles in BC’s PharmaCare plan between older community-dwelling adults registered for the plan who were born in 1928 through 1939 (no deductible) and those born in 1940 through 1951 (deductible equivalent to 2% of household income). We used 1.2 million person-years of data between 2003 and 2015 to study public drug plan expenditures, overall drug use, and physician and hospital resource utilization in these 2 groups. RESULTS: The income-based deductible led to a 28.6% decrease in person-years in which public drug plan benefits were received (95% confidence interval [CI] −29.7% to −27.5%) and to a reduction in the per capita extent of annual benefits by $205.59 (95% CI −$247.81 to −$163.37). Despite this difference in public subsidy, we found no difference in the number of drugs received or in total drug spending once privately paid amounts were accounted for (p = 0.4 and 0.8, respectively). Further, we found only small or nonexistent changes in health care resource utilization at the 1939 threshold. INTERPRETATION: A modest income-based deductible had a considerable impact on the extent of public subsidy for prescription drugs. However, it had only a trivial impact on overall access to medicines and use of other health services. Unlike copayments, modest income-based deductibles may safely reduce public spending on drugs for some population groups.

BACKGROUND In 2002 British Columbia, Canada began redistributing its hospital services. OBJECTIVE AND DESIGN We used administrative data and interrupted time series analyses to determine how recent hospital closures affected patient outcomes. SUBJECTS All adult acute myocardial infarction (AMI), stroke, and trauma events in British Columbia between fiscal years 1999 and 2013. Cases were patients whose closest hospital closed. Controls were matched by condition, year of event, and condition-specific hospital volume where treatment was received. MEASURES Thirty-day mortality and hospital bypass rates. RESULTS We matched 3267 AMI, 2852 stroke, and 6318 trauma cases to 1996, 1604, and 3640 controls, respectively. The 30-day mortality rate at baseline was 7.0% [95% confidence interval (CI), 4.0%-10.1%] for AMI, 5.3% (95% CI, 2.4%-8.1%) for stroke, and 1.2% (95% CI, 0.3%-2.1%) for trauma controls. The 30-day mortality rate for cases was 14.3% (95% CI, 7.1%-21.7%) for AMI, 12.0% (95% CI, 5.1%-18.9%) for stroke, and 3.1% for trauma (95% CI, 0.9%-5.2%) cases. There was no significant change in 30-day mortality for cases, and no significant difference in change in mortality rates between cases and controls following the intervention. The difference in hospital bypass rates between cases and controls was 50.1% (95% CI, 42.3%-57.9%) for AMI, 36.2% (95% CI, 27.4%-44.9%) for stroke, and 32.2% (95% CI, 27.7%-36.8%) for trauma cases preintervention. Following the intervention, the difference in bypass rates dropped by 15.5% (95% CI, 3.5%-27.5%) for AMI, 25.3% (95% CI, 11.7%-38.8%) for stroke, and 22.7% (95% CI, 15.7%-29.6%) for trauma cases. CONCLUSIONS Hospital closures did not affect patient mortality.

Background Case-mix systems and comorbidity indices aggregate clinical information about patients over time and are used to characterize need for health care services. These tools were validated for their original purpose, but those purposes are varied, and they have not been compared directly in the context of predicting costs of health care services. Objective To compare predictions of next-year health care service costs across 4 tools, including: the Johns Hopkins Adjusted Clinical Groups (ACG), the Elixhauser Comorbidity Index, Charlson-Deyo Comorbidity Index, and the Canadian Institute for Health Information (CIHI) population grouper. Methods British Columbia administrative data from fiscal years 2012-2013 were used to generate case-mix variables and the comorbidity indices. Outcome variables include next-year (2013-2014) total, physician, acute care, and pharmaceutical costs, Outcomes were modeled using 2-part models. Performance was compared using adjusted R, root mean squared error, and mean absolute error using the predicted and the actual next-year cost. Results Models including the CIHI grouper (239 conditions) and ACG system had similar performance in most cost categories and slightly better fit than Charlson Comorbidity Index (CCI) and Elixhauser Comorbidity Index (ECI). Adding a dummy variable for nonusers in the models for CCI and ECI increased R values slightly. Conclusions All these systems have empirical support for use in predicting health care costs, despite in some cases being developed for other purposes. No system is particularly effective at predicting next-year acute care cost, likely because acute events are often by definition unexpected. The freely available ECI and CCI comorbidity indices implemented using the highest-performing methods developed here may be a good choice in many circumstances.

Background Primary care serves all age groups and individuals with health states ranging from those with no chronic conditions to those who are medically complex, or frail and approaching the end of life. For information to be actionable and guide planning, there must be some population disaggregation based on differences in expected needs for care. Promising approaches to segmentation in primary care reflect both the breadth and severity of health states, the types and amounts of health care utilization that are expected, and the roles of the primary care provider. The purpose of this study was to assess population segmentation as a tool to create distinct patient groups for use in primary care performance reporting. Methods This cross-sectional study used administrative data (patient characteristics, physician and hospital billings, prescription medicines data, emergency department visits) to classify the population of British Columbia (BC), Canada into one of four population segments: low need, multiple morbidities, medically complex, and frail. Each segment was further classified using socioeconomic status (SES) as a proxy for patient vulnerability. Regression analyses were used to examine predictors of health care use, costs and selected measures of primary care attributes (access, continuity, coordination) by segment. Results Average annual health care costs increased from the low need ($ 1460) to frail segment ($10,798). Differences in primary care cost by segment only emerged when attributes of primary care were included in regression models: accessing primary care outside business hours and discontinuous primary care (≥5 different GP’s in a given year) were associated with higher health care costs across all segments and higher continuity of care was associated with lower costs in the frail segment (cost ratio = 0.61). Additionally, low SES was associated with higher costs across all segments, but the difference was largest in the medically complex group (cost ratio = 1.11). Conclusions Population segments based on expected need for care can support primary care measurement and reporting by identifying nuances which may be lost when all patients are grouped together. Our findings demonstrate that variables such as SES and use of regression analyses can further enhance the usefulness of segments for performance measurement and reporting.

Background There is very little information on the effects of different types of developmental disability on the mental health of parents of children who have a DD. Objective This paper compared the mental health of parents of children with Autism Spectrum Disorder (ASD), Down syndrome, Fetal Alcohol Syndrome (FAS) and other types of DD. Methods A cross-sectional design was used to examine population-level administrative health data for mental health outcomes in cohorts of fathers and mothers of children with four different types of a DD. As well as type of DD, additional variables were examined, these included: sex of the parent, age of the parent at birth of the child with the DD, income, sex of the child with the DD, number of children in the family and place of residence. Results For both fathers and mothers odds of a diagnosis of depression or another mental health problem were associated with type of DD. Parents of children with FAS experienced the greatest odds of a depression or other mental health diagnosis. Odds of a diagnosis for fathers were associated with low income. Odds of a diagnosis for mothers were associated with the sex of the child with the DD. Conclusions These findings are important for understanding families which include a child with a DD, as a guide for future research, and for developing effective programs and services for these parents.

To explore whether there are observable physician characteristics associated with antibiotic prescribing for pediatric respiratory tract infections (RTIs).Population-based cohort study using a hierarchical generalized linear mixed-model analysis.British Columbia.All pediatric visits for RTIs between 2005 and 2011.The association between an antibiotic prescription being dispensed within 5 days after each visit and patient, physician, and regional characteristics.Overall, 27.9% of RTI visits were followed by an antibiotic prescription. After accounting for observed patient, physician, and regional factors, median 2-fold variation was found across physicians in their odds of prescribing. Observable physician characteristics explained nearly half of the variation between them. Higher prescribing was evident among physicians with more years of clinical experience (odds ratio [OR] of 1.46, 95% CI 1.33 to 1.61), international medical graduates (OR = 1.73, 95% CI 1.63 to 1.83), and physicians with proportionally fewer recent visits for RTIs (OR = 1.45, 95% CI 1.38 to 1.52). Female physicians prescribed less often than male physicians did (OR 0.91, 95% CI 0.86 to 0.96).Substantial variations were found among physicians in prescribing antibiotics for pediatric RTIs. Observable characteristics accounted for a meaningful proportion of this variation; however, some physicians have a higher propensity to prescribe than others do, which remains unexplained. Patient and regional characteristics did not explain much of the variation across physicians. In future, behavioural interventions should be designed and evaluated to target physicians with higher propensity to prescribe.

Background: Few measures exist to assess the quality of care received by home care clients, especially at the end of life. Objective: This project examined the rates across a set of qualit...

IntroductionCaregivers of children with health problems experience poorer health than the caregivers of healthy children. To date, population-based studies on this issue have primarily used survey data. ObjectivesWe demonstrate that administrative health data may be used to study these issues, and explore how non-categorical indicators of child health in administrative data can enable population-level study of caregiver health. MethodsDyads from Population Data British Columbia (BC) databases, encompassing nearly all mothers in BC with children aged 6-10 years in 2006, were grouped using a non-categorical definition based on diagnoses and service use. Regression models examined whether four maternal health outcomes varied according to indicators of child health. Results162,847 mother-child dyads were grouped according to the following indicators: Child High Service Use (18%) vs. Not (82%), Diagnosis of Major and/or Chronic Condition (12%) vs. Not (88%), and Both High Service Use and Diagnosis (5%) vs. Neither (75%). For all maternal health and service use outcomes (number of physician visits, chronic condition, mood or anxiety disorder, hospitalization), differences were demonstrated by child health indicators. ConclusionsMothers of children with health problems had poorer health themselves, as indicated by administrative data groupings. This work not only demonstrates the research potential of using routinely collected health administrative data to study caregiver and child health, but also the importance of addressing maternal health when treating children with health problems. KeywordsPopulation data, linked data, case-mix, children with special health care needs

In their Policy Forum "Toward unrestricted use of public genomic data" (25 January, p. 350), R. I. Amann et al. argue that once data has been cleared for release to the public domain by institutions, it should be open for use without further restrictions. However, they neglect the key point that researchers and their institutions are entrusted by research participants, funders, and others with weighing the pros and cons of public data release. By suggesting that informed consent can provide a straightforward path to data release, they overlook evidence that once people understand their options, only a little more than half opt for open data sharing, and some refuse data sharing altogether.