Suchergebnisse

ObjectiveDevelop a cohort to evaluate a real-world experiment of the built environment on the incidence of disease, accounting for movement of people, postal codes, incidence of disease and changing demographics.
ApproachThe City of Winnipeg, Canada built multi-use trails in 2010-2012. We used the administrative data housed at the Manitoba Centre for Health Policy to evaluate the effect of this change in the built environment on the incidence of cardiovascular disease events (CVDE) and risk factors (CVDRF) before (2000-2009) and after (2012-2019) the trails were built. The Manitoba Health Insurance Registry contains postal code and demographic information on nearly all city residents and was utilized for cohort creation and person-time exposure. Individuals' residential postal codes were linked to geo-spatial data to determine proximity to built trails at 400m, 800m and 1200m. Semi-annual postal code changes accounted for movement within/outside city limits or exclusion from the cohort. Diagnoses from hospital abstract and physician visit data and outpatient prescription dispensations were used to access prevalence and incidence of a CVDE composite measure of congestive heart failure, ischemic heart disease and stroke and a CVDRF composite measure of diabetes, dyslipidemia and hypertension.
Conclusions and ImplicationsLeveraging a diverse set of administrative databases, we built a cohort evaluate the effect of building multi-use trails in Winnipeg on the reduction on CVDE and CVDRF. This demonstrates how administrative data can be used to evaluate natural, real-world experiments with minimal direct data measurement or public intrusion, resulting in actionable results to inform public policy.

BACKGROUND: The Manitoba Health Registry does not fully identify First Nations Manitobans, impacting the ability to adequately describe their health status and use of health services using this data source alone. This paper describes the processes in producing a valid database for use in a population-based report by the Manitoba Centre for Health Policy (MCHP). METHODS: The Indian Registry's Status Verification System (SVS) file is a national database containing a complete list of Registered First Nations eligible for benefits through the Indian Act. Through negotiations with the Assembly of Manitoba Chiefs' Health Information Research Committee, Indian and Northern Affairs Canada, FNIHB, Manitoba Health, and MCHP, a linkage of the SVS files and Manitoba Health's Registry was accomplished. Of the 116,177 SVS records and 5,803 deceased records, 97,635 individuals linked to the Manitoba Health Registry. RESULTS: There was a 99% match on gender, 70% match on surname, 94% match on given name, and 96% match on birth year. The total represents a 20% decrease in records from the Indian Registry. The decrease was greater for females, older people and those from southern areas. CONCLUSION: The linkage resulted in a 20% increase over Manitoba Health data alone. Our inability to link all of the records may be due to several factors. Individuals with a Manitoba Band affiliation living outside of the province could not be linked to the Manitoba Health Registry. First Nations living in Manitoba but affiliated with a non-Manitoba Band would not have been in the file obtained. Finally, births, deaths and surname change after marriage may be under-reported to the Indian Registry. This linkage enabled MCHP to provide a more accurate picture of First Nations health status and use of health care services than otherwise would have been available. Ongoing linkages with Manitoba Health data, as well as similar linkages elsewhere in Canada, are encouraged.

ObjectiveTo profile the Manitoba Centre for Health Policy (MCHP), a population health data centre located at the University of Manitoba in Winnipeg, Canada.
ApproachWe describe how MCHP was established and funded, and how it continues to operate based on a foundation of trust and respect between researchers at the University of Manitoba and stakeholders in the Manitoba Government's Department of Health. MCHP's research priorities are jointly determined by its scientists' own research interests and by questions put forward from Manitoba government ministries. Data governance, data privacy, data linkage processes and data access are discussed in detail. We also provide three illustrative examples of the MCHP Data Repository in action, demonstrating how studies using a variety of Repository datasets have had an impact on health and social policies and programs in Manitoba.
DiscussionMCHP has experienced tremendous growth over the last three decades. We discuss emerging research directions as the capacity for innovation at MCHP continues to expand, including a focus on natural language processing and other applications of artificial intelligence techniques, a leadership role in the new SPOR Canadian Data Platform, and a foray into social policy evaluation and analysis. With these and other exciting opportunities on the horizon, the future at MCHP looks exceptionally bright.

AbstractObjectivesThe goals of this study were to examine and compare (a) the annual adult mortality rates and (b) the most commonly reported underlying causes of death between a cohort of Manitobans with intellectual and developmental disabilities (IDD) and a matched comparison group without IDD.MethodsUsing linked health and nonhealth administrative data, a cohort of Manitoba adults with IDD, aged 25–99 years in 2012, was identified. Each person in the study cohort was matched with three persons without IDD based on age, sex, region of residence, and morbidity level. The two groups were followed for three years (2013–2015). Crude annual adult mortality rates and avoidable premature mortality rates were calculated. The leading causes of death over the 3‐year study period were tabulated by ICD‐10 chapter. Coding of the underlying causes of death was reviewed.ResultsThe crude annual mortality rates for Manitoba adults with IDD were 1.8–2.4 times higher than those for the matched comparison group and remained stable over time. Disparities in mortality rates for the IDD cohort relative to the matched comparison group decreased with increasing age. No significant sex differences were found. The leading causes of death among the IDD cohort were diseases of the circulatory system, cancer, and diseases of the respiratory system. Avoidable premature deaths were 2.3–3.3 times more prevalent among Manitoba adults with IDD compared to the matched comparison group. An IDD diagnostic code was reported as cause of death in 2.11% of cases.ConclusionsThe excess mortality among adults with IDD should be monitored in Manitoba and all other jurisdictions and attention paid to the causes of death and their coding.

BackgroundLittle information exists on health of children with developmental disabilities (DDs) in the Canadian province of Manitoba.MethodThe present authors linked 12 years of administrative data and compared health status, changes in health and access to health and social services between children with (n = 1877) and without (n = 5661) DDs living in the province, matched by age, sex and region of residence.ResultsChildren with DDs were significantly more likely than children in the matched comparison group to die before the age of 17 and have a history of respiratory illness, diabetes and injury‐related hospitalizations. Children with DD also had significantly higher average number of ambulatory physician visits and higher rate of continuity of care.ConclusionsChildren with DDs had poorer health status than the matched comparison group. The health disparities experienced by children with DDs persisted over time. Further population‐based longitudinal research is needed in this area.

ABSTRACT
ObjectiveFourteen years of social housing data (1995-2008) were acquired from the provincial government. This allowed for an unprecedented opportunity to describe the population of individuals living in social housing and, through data linkage, to compare them to the rest of the province on a number of health and social indicators.
ApproachUsing data from the entire population of the province of Manitoba, Canada, cross-sectional comparison were made between those living in social housing and those not on 19 indicators of morbidity, mortality, health care utilization and social development. Regression models were developed to control for age, sex, region of residence, comorbidities, income and neighborhood level SES.
Results50% of the population in social housing are under the age 20, 75% are female and 50% of applicants receive some form of income assistance. As expected there are significant differences on most health status measures when compared to individuals not in social housing. However, after controlling for confounding factors most differences between the two groups disappear indicating that there is no independent effect of living in social housing. A few exceptions were noted on measures of total respiratory morbidity, mammography and high school completion rates, the later showing a very significant interaction with neighborhood level SES.
ConclusionDespite overall poor health status, after controlling for income and other confounding factors individuals in social housing score no worse on many measures of health care utilization and prevention. High school completion rates, in particular, showed a very strong interaction with neighborhood level SES. Policy implications of this research are discussed.

Objective and ApproachCanada's federated health data system along with access pathways geared toward academic research, pose challenges for knowledge Users (KUs) requiring timely, pan-Canadian evidence to inform decisions. To understand challenges and explore solutions, we conducted two use cases for a pan-Canadian health technology assessment organization and a federal agency, using health administrative data at one federal and six provincial data centres. The population-based cohort studies described socio-demographics, comorbidities, treatment patterns, service utilization and costs. One focused on spinal muscular atrophy, a rare disease and the other on dementia, a complex chronic disease.
ResultsAdministrative challenges included aligning varied ethical review and data access policies/procedures including requiring local and/or academic principal investigators and differing definitions of "research" vs. planning, evaluation, and monitoring. Data-related challenges included differences in structure, timeliness, and completeness across regions resulting in difficulty aligning constructs such as incident cases and episodes of care. Privacy requirements prohibited pooling jurisdictional estimates resulting in "small cells" that couldn't be shared with KUs.
ConclusionsWe provided analytic outputs from multiple regions, albeit with some differences and gaps, increasing knowledge around both diseases while developing capacity for combined analyses and gaining insight into national possibilities for data access.
ImplicationsAs decision makers must rely on best available information, some data is better than none. However, to improve data-analytic services for Pan-Canadian KUs, next steps will include improving data harmonization, expanding data assets and filling data gaps, implementing common data models, and exploring options for federated and/or pooled analyses.

Objective and ApproachThe Canadian Longitudinal Study on Aging (CLSA) is the largest national longitudinal cohort study, following ~50,000 adults across 10 provinces for at least 20 years. Health Data Research Network (HDRN) Canada is a distributed pan-Canadian network including members in all 13 provinces and territories. In February 2021, the organizations partnered with the objective to provide researchers with efficient access to multi-regional CLSA data linked to other health/health-related data through HDRN Canada's data centres. A Steering Committee was convened including representatives from all parties to oversee the process from data sharing agreements (DSAs), negotiating terms of access, through to data transfer and linkage.
ResultsIn Spring 2024, linkage was complete at four data centres (Ontario, New Brunswick, British Columbia, and Nova Scotia), with a DSA also in place for Newfoundland and Labrador. DSAs are nearing approval at three others (Manitoba, Prince Edward Island, and Quebec), and in progress in Alberta. Saskatchewan is working towards participation.
ConclusionsThe HDRN Canada-CLSA partnership is on the way to making linked provincial CLSA cohort data available in all participating jurisdictions, facilitated by streamlined agreements and processes.
ImplicationsCollaborative efforts of organizations such as HDRN Canada and CLSA to foster data linkages and streamline data access at a multi-regional level offers an unparalleled opportunity to explore the intersection between aging and health care utilization. Research enabled by this initiative will inform health care decision making and evidence-based policy development at multiple levels, from the individual to multiple levels of government.