Population Data Centre Profile: The Manitoba Centre for Health Policy.

OBJECTIVE: To profile the Manitoba Centre for Health Policy (MCHP), a population health data centre located at the University of Manitoba in Winnipeg, Canada. APPROACH: We 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. DISCUSSION: MCHP 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.

Population-based data sources for chronic disease surveillance.

This study estimated agreement between population-based administrative and survey data for ascertaining cases of arthritis, asthma, diabetes, heart disease, hypertension and stroke. Chronic disease case definitions that varied by data source, number of years and number of diagnosis or prescription drug codes were constructed from Manitoba's administrative data. These data were linked to the Canadian Community Health Survey. Agreement between the two data sources, estimated by the kappa coefficient, was calculated for each case definition, and differences were tested. Socio-demographic and comorbidity variables associated with agreement were tested using weighted logistic regression. Agreement was strongest for diabetes and hypertension and lowest for arthritis. The case definition elements that contributed to the highest agreement between the two population-based data sources varied across the chronic diseases. Low agreement between administrative and survey data is likely to occur for conditions that are difficult to diagnose, but will be mediated by individual socio-demographic and health status characteristics. Construction of a chronic disease case definition from administrative data should be accompanied by a justification for the choice of each of its elements.

Organizing the present, looking to the future: an online knowledge repository to facilitate collaboration.

BACKGROUND: Comprehensive data available in the Canadian province of Manitoba since 1970 have aided study of the interaction between population health, health care utilization, and structural features of the health care system. Given a complex linked database and many ongoing projects, better organization of available epidemiological, institutional, and technical information was needed. OBJECTIVE: The Manitoba Centre for Health Policy and Evaluation wished to develop a knowledge repository to handle data, document research Methods, and facilitate both internal communication and collaboration with other sites. METHODS: This evolving knowledge repository consists of both public and internal (restricted access) pages on the World Wide Web (WWW). Information can be accessed using an indexed logical format or queried to allow entry at user-defined points. The main topics are: Concept Dictionary, Research Definitions, Meta-Index, and Glossary. The Concept Dictionary operationalizes concepts used in health research using administrative data, outlining the creation of complex variables. Research Definitions specify the codes for common surgical procedures, tests, and diagnoses. The Meta-Index organizes concepts and definitions according to the Medical Sub-Heading (MeSH) system developed by the National Library of Medicine. The Glossary facilitates navigation through the research terms and abbreviations in the knowledge repository. An Education Resources heading presents a web-based graduate course using substantial amounts of material in the Concept Dictionary, a lecture in the Epidemiology Supercourse, and material for Manitoba's Regional Health Authorities. Confidential information (including Data Dictionaries) is available on the Centre's internal website. RESULTS: Use of the public pages has increased dramatically since January 1998, with almost 6,000 page hits from 250 different hosts in May 1999. More recently, the number of page hits has averaged around 4,000 per month, while the number of unique hosts has climbed to around 400. CONCLUSIONS: This knowledge repository promotes standardization and increases efficiency by placing concepts and associated programming in the Centre's collective memory. Collaboration and project management are facilitated.

Monitoring the impact of hospital downsizing on access to care and quality of care.

The most recent data used for monitoring the potential effects of bed closures in Winnipeg hospitals since 1992/93 found that despite downsizing, access to care was by no means compromised. Just as many patients were cared for in 1995/96 as in 1991/92. Changes in patterns of care included more outpatient and fewer inpatient surgeries, and a decrease in the number of hospital days. The number of high-profile surgical procedures, such as angioplasty, bypass, and cataract surgery, performed increased dramatically during downsizing. Quality of care delivered to patients, measured by mortality and readmission rates, was unaffected by bed closures. Of particular concern was the impact of downsizing on the two most vulnerable health groups--the elderly and Manitobans in the lowest income group. Access and quality of care for these groups also remained unchanged. However, those in the lowest income group spent almost 43% more days in hospital than those in the middle income group, and research demonstrates that these variations in hospital use across socioeconomic groups reflect real and important health differences and are not driven by social reasons for admissions. Finally, a large decrease in waiting time for nursing home placement underlines the relationship between downsizing and availability of alternatives to hospitalization.

An assessment of the potential for repatriating care from urban to rural Manitoba.

OBJECTIVES: Following the closure of Manitoba hospital beds, the Manitoba government adopted a strategy of shifting hospital care from more expensive urban hospitals to less expensive rural facilities. With this project, Manitoba Centre for Health Policy and Evaluation (MCHPE) studied the implications of the stated policy of "repatriation." RESEARCH DESIGN: The project first involved examining population-based patterns of hospital utilization to define hospital service areas for 10 large rural hospitals. Three different hospital service area definitions were developed for use in sensitivity testing. Rates of overall use of hospital services, indicators of need for health care, and patterns of use of urban facilities are compared for these hospital service areas. Using a large rural hospital as a benchmark, patterns of adult surgical, adult medical, pediatric, and obstetric care were examined for the hospital service areas. Number and percent of cases provided by the index hospital and by urban hospitals were compared, to assess the feasibility and the potential impact of redirection of care to the benchmark level. CONCLUSIONS: Although in theory a significant percentage of care delivered to rural residents by Winnipeg hospitals might be redirected to rural institutions, the project raised issues of feasibility. Moreover, it identified that most of the redirected cases could be accommodated within existing capacity.

Managing health services: how the Population Health Information System (POPULIS) works for policymakers.

OBJECTIVES: University-based researchers in Manitoba, Canada, have used administrative data routinely collected as part of the national health insurance plan to design an integrated database and population-based health information system. This information system is proving useful to policymakers for answering such questions as: Which populations need more physician services? Which need fewer? Are high-risk populations poorly served? or do they have poor health outcomes despite being well served? Does high utilization represent overuse? or is it related to high need? More specifically, this system provides decision makers with the capability to make critical comparisons across regions and subregions of residents' health status, socioeconomic risk characteristics and use of hospitals, nursing homes, and physicians. The system permits analyses of demographic changes, expenditure patterns, and hospital performance in relation to the population served. The integrated database has also facilitated outcomes research across hospitals and countries, utilization review within a single hospital, and longitudinal research on health reform. The discussion highlights the strengths of integrated population-based information in analyzing the health care system and raising important questions about the relationship between health care and health.

Adding up provincial expenditures on health care for Manitobans: a POPULIS project. Population Health Information System.

OBJECTIVES: Using the POPULIS framework, this project estimated health care expenditures across the entire population of Manitoba for inpatient and outpatient hospital utilization, physician visits, mental health inpatient, and nursing home utilization. RESEARCH DESIGN: This estimated expenditure information was then used to compare per capita expenditures relative to premature mortality rates across the various areas of Manitoba. RESULTS: Considerable variation in health care expenditures was found, with those areas having high premature mortality rates also having higher health care expenditures.

Take teamwork to new heights.

Teamwork follows the dynamic path of group development. The authors evaluate their survey of teamwork in 14 ICUs and explain how nurse managers can evaluate and increase teamwork with a unit assessment process.

Managing health services: how administrative data and population-based analyses can focus the agenda.

University-based researchers in Manitoba, Canada, have used administrative data routinely collected as part of the national health insurance plan to design an integrated database and population-based health information system. This information system is proving useful to policymakers for providing answers to such questions as: which populations need more physician services? Which need fewer? Are high-risk populations poorly served or do they have poor health outcomes despite being well served? Does high utilization represent overuse or utilization related to high need? More specifically, this system provides decision-makers with the capability to make critical comparisons across regions and subregions of residents' health status, socioeconomic risk characteristics, and use of hospitals, nursing homes, and physicians. The system permits analyses of demographic changes, expenditure patterns, and hospital performance in relation to the population served. The integrated database has also facilitated outcomes research across hospitals and counties, utilization review within a single hospital, and longitudinal research on health reform. A particularly interesting application to planning physician supply and distribution is discussed. The discussion highlights the strengths of integrated population-based information in analyzing the health care system and raising important questions about the relationship between health care and health.

Population health and health care use: an information system for policy makers.

University-based researchers in Manitoba, Canada, have used administrative data routinely collected as part of the national health insurance plan to design a population-based health information system (POPULIS). Decision-makers can use this system to make critical comparisons across regions of residents' health status, socioeconomic risk characteristics, and use of hospitals, nursing homes, and physicians. Policy makers have found this information system useful in providing answers to questions they are often asked: Which populations need more physician services? Which need fewer? Are high-risk populations poorly served or do they have poor health outcomes despite being well served? Does high utilization represent overuse or is it related to high need? Three commentaries follow.

Stability and trends over 3 years of data.

Because the health status of a population does not usually respond immediately to interventions, whether social or medical, the ability to analyze change over time is important. Therefore, patterns of change and stability in health status and health care use of Manitoba residents during a 3-year period from 1990 to 1992 were analyzed using the Population-based Health Information System. This article presents summary findings and discusses methodological and policy issues arising from the analyses. A small but significant decrease in premature mortality (the primary health status indicator) was observed in most regions of the province, but two remote, northern regions, those whose residents scored at high socioeconomic risk, remained distinguished for their poor health status. These "poor health" regions also had the highest contact rates with primary caregivers, raising questions about the role of the health care system in improving the health of the population. A persistent increase in surgery was observed in several regions, led by increases in outpatient surgery over and above increases in the elderly population and beyond substitution for inpatient procedures. This trend (not obvious before these analyses) is important as hospitals move to expand their outpatient facilities in response to restraints on inpatient care.

The Population Health Information System: data analysis and software.

This article describes the software developed in the process of creating the Population Health Information System. The software can be applied to a range of administrative data and provides standardized data on the health status and health care use of populations by generating population-based rates of discrete events. The standardized approach permits construction of a comprehensive, comparative picture for residents of defined geographic regions. The addition of a user friendly graphic interface will permit regional planners to do their own data analyses and allow out-of-province researchers to adopt the system for their own uses.

A population-based health information system.

The authors introduce the Population Health Information System, its conceptual framework, and the data elements required to implement such a system in other jurisdictions. Among other innovations, the Population Health Information System distinguishes between indicators of health status (outcomes measures) and indicators of need for health care (socioeconomic measures of risk for poor health). The system also can be used to perform needs-based planning and challenge delivery patterns.

Utilization of hospital resources.

A population-based approach was used to analyze the utilization patterns of hospital care by Manitoba residents during the fiscal year 1991/1992. Patterns were analyzed for eight administrative regions, with use assigned to the patient's region of residence, regardless of the location of the hospitalization. Regional boundaries consistent with those used for presentation of data on health status and socioeconomic risk permitted integration of findings across the Population Health Information System. Marked differences in acute hospital use were found. Residents of the urban Winnipeg ("good health") region had the lowest rates of use of acute care overall, and northern rural ("poor health") regions had significantly higher rates of use. However, almost one half of hospital days by Winnipeg residents were used in long-stay care (60+ days), while rural residents were more likely to use short-stay hospital care. Despite a concentration of surgical specialists in Winnipeg, there were only small regional differences in overall rates of surgery.