Leslie L. Roos
Canadian Institute for Advanced Research
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Leslie L. Roos.
Medical Care | 1999
Noralou P. Roos; Charlyn Black; Leslie L. Roos; Norman Frohlich; Carolyn DeCoster; Cameron A. Mustard; Brownell; Marian Shanahan; Patricia Fergusson; Fred Toll; Keumhee C. Carriere; Charles Burchill; Randy Fransoo; Leonard MacWilliam; Bogdan Bogdanovic; David Friesen
OBJECTIVESnUniversity-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.
Health Services Management Research | 1998
Noralou P. Roos; Charlyn Black; Leslie L. Roos; Norman Frohlich; Carolyn DeCoster; Cameron A. Mustard; Marni Brownell; Marian Shanahan; Patricia Fergusson; Fred Toll; Keumhee C. Carriere; Charles Burchill; Randy Fransoo; Leonard MacWilliam; Bogdan Bogdanovic; David Friesen
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.
Healthcare Management Forum | 1996
Leslie L. Roos; David S. Fedson; Janice D. Roberts; Marsha M. Cohen
This article illustrates how administrative data can be used to improve population health in an environment of fiscal constraint. In our universal single-payer health system, health care providers submit standardized data. This allows provinces to create health information utilities that generate population-based data that can be used for research and health care delivery. Although more study is needed to determine the cost-effectiveness of using such data to raise the rates of primary and secondary prevention, it appears that appropriately designed information systems could improve population health with relatively little additional cost.
Health Affairs | 1998
Noralou P. Roos; Marni Brownell; Evelyn Shapiro; Leslie L. Roos
Archive | 1999
Carolyn DeCoster; Betty Havens; Evelyn Shapiro; Blake McClarty; Leslie L. Roos
Archive | 2005
Charlyn Black; Leslie L. Roos; Noralou P. Roos
Archive | 2016
Leslie L. Roos; Jessica S. Jarmasz; Patricia J. Martens; Alan Katz; Randy Fransoo; Ruth-Ann Soodeen; Mark J. Smith; Joshua Ginter; Charles Burchill; Noralou P. Roos; Malcolm Doupe; Marni Brownell; Lisa M. Lix; Greg Finlayson; Maureen Heaman
Archive | 2016
Mark J. Smith; Leslie L. Roos; Charles Burchill; Ken Turner; Dave G. Towns; Say P. Hong; Jessica S. Jarmasz; Patricia J. Martens; Noralou P. Roos; Tyler Ostapyk; Joshua Ginter; Greg Finlayson; Lisa M. Lix; Marni Brownell; Mahmoud Azimaee; Ruth-Ann Soodeen; J. Patrick Nicol
/data/revues/00223476/unassign/S0022347614011597/ | 2015
Harminder Singh; Zoann Nugent; Marni Brownell; Laura E. Targownik; Leslie L. Roos; Charles N. Bernstein
Archive | 2010
Noralou P. Roos; Leslie L. Roos; Marni Brownell