Literature DB >> 10409014

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

N P Roos1, C Black, L L Roos, N Frohlich, C DeCoster, C Mustard, M D Brownell, M Shanahan, P Fergusson, F Toll, K C Carriere, C Burchill, R Fransoo, L MacWilliam, B Bogdanovic, D Friesen.   

Abstract

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.

Mesh:

Year:  1999        PMID: 10409014     DOI: 10.1097/00005650-199906001-00007

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  9 in total

1.  Assessing population health care need using a claims-based ACG morbidity measure: a validation analysis in the Province of Manitoba.

Authors:  Robert J Reid; Noralou P Roos; Leonard MacWilliam; Norman Frohlich; Charlyn Black
Journal:  Health Serv Res       Date:  2002-10       Impact factor: 3.402

2.  Current evaluation and future needs of a mental health data linkage system in a remote region: a Canadian experience.

Authors:  Larry Squire; Michel Bédard; Leslie Hegge; Vicki Polischuk
Journal:  J Behav Health Serv Res       Date:  2002-11       Impact factor: 1.505

3.  What is the comparative health status and associated risk factors for the Métis? A population-based study in Manitoba, Canada.

Authors:  Patricia J Martens; Judith G Bartlett; Heather J Prior; Julianne Sanguins; Charles A Burchill; Elaine M J Burland; Sheila Carter
Journal:  BMC Public Health       Date:  2011-10-19       Impact factor: 3.295

4.  Using a population-based health information system to study child health.

Authors:  Marni Brownell; Teresa Mayer; Patricia J Martens; Anita Kozyrskyj; Patricia Fergusson; Jennifer Bodnarchuk; Shelley Derksen; David Friesen; Randy Walld
Journal:  Can J Public Health       Date:  2002 Nov-Dec

5.  Towards evidence-based, GIS-driven national spatial health information infrastructure and surveillance services in the United Kingdom.

Authors:  Maged N Kamel Boulos
Journal:  Int J Health Geogr       Date:  2004-01-28       Impact factor: 3.918

6.  Association of Mental Disorders and Related Medication Use With Risk for Major Osteoporotic Fractures.

Authors:  James M Bolton; Suzanne N Morin; Sumit R Majumdar; Jitender Sareen; Lisa M Lix; Helena Johansson; Anders Odén; Eugene V McCloskey; John A Kanis; William D Leslie
Journal:  JAMA Psychiatry       Date:  2017-06-01       Impact factor: 21.596

7.  Program for expectant and new mothers: a population-based study of participation.

Authors:  Marni D Brownell; Mariette Chartier; Wendy Au; Jennifer Schultz
Journal:  BMC Public Health       Date:  2011-09-06       Impact factor: 3.295

8.  Methods for dealing with discrepant records in linked population health datasets: a cross-sectional study.

Authors:  Christine L Roberts; Charles S Algert; Jane B Ford
Journal:  BMC Health Serv Res       Date:  2007-01-30       Impact factor: 2.655

9.  Event-based record linkage in health and aged care services data: a methodological innovation.

Authors:  Rosemary Karmel; Diane Gibson
Journal:  BMC Health Serv Res       Date:  2007-09-25       Impact factor: 2.655

  9 in total

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