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1.
Milbank Q ; 74(1): 3-31, 1996.
Article in English | MEDLINE | ID: mdl-8596520

ABSTRACT

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.


Subject(s)
Database Management Systems/organization & administration , Health Policy , Health Services/statistics & numerical data , Population Surveillance/methods , Public Health , Health Services Needs and Demand , Humans , Manitoba , Models, Organizational
2.
Med Care ; 33(12 Suppl): DS100-8, 1995 Dec.
Article in English | MEDLINE | ID: mdl-7500663

ABSTRACT

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.


Subject(s)
Health Services/statistics & numerical data , Health Status , Single-Payer System/statistics & numerical data , Adolescent , Adult , Aged , Child , Child, Preschool , Community Health Planning , Female , Forecasting , Health Services/trends , Hospitals/statistics & numerical data , Humans , Infant , Infant, Newborn , Information Systems , Male , Manitoba , Middle Aged , National Health Programs/trends , Nursing Homes/statistics & numerical data , Primary Health Care/statistics & numerical data , Primary Health Care/trends
3.
Med Care ; 33(12 Suppl): DS127-31, 1995 Dec.
Article in English | MEDLINE | ID: mdl-7500665

ABSTRACT

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.


Subject(s)
Community Health Planning , Information Systems , Software , Computer Graphics , Humans , Manitoba , Single-Payer System , Systems Integration
4.
Med Care ; 33(12 Suppl): DS13-20, 1995 Dec.
Article in English | MEDLINE | ID: mdl-7500666

ABSTRACT

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.


Subject(s)
Community Health Planning/organization & administration , Information Systems/organization & administration , Single-Payer System , Canada , Data Collection/methods , Health Services Needs and Demand , Health Status Indicators , Humans , Manitoba , Models, Theoretical , National Health Programs
5.
Med Care ; 33(12 Suppl): DS55-72, 1995 Dec.
Article in English | MEDLINE | ID: mdl-7500670

ABSTRACT

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.


Subject(s)
Community Health Planning , Hospitals/statistics & numerical data , Adult , Child , Female , Humans , Information Systems/organization & administration , Length of Stay , Long-Term Care/statistics & numerical data , Male , Manitoba , Population Surveillance , Risk Factors , Rural Population , Single-Payer System/statistics & numerical data , Small-Area Analysis , Socioeconomic Factors , Surgical Procedures, Operative/statistics & numerical data , Urban Population
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