J
Jacqueline Quail
Researcher at Saskatchewan Health
Publications - 15
Citations - 292
Jacqueline Quail is an academic researcher from Saskatchewan Health. The author has contributed to research in topics: Population & Incidence (epidemiology). The author has an hindex of 6, co-authored 15 publications receiving 250 citations. Previous affiliations of Jacqueline Quail include University of Manitoba.
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Journal ArticleDOI
Comparing comorbidity measures for predicting mortality and hospitalization in three population-based cohorts
TL;DR: The optimal comorbidity measure depends on the health outcome and not on the disease characteristics of the study population, and the number of diagnoses had the best predictive performance.
Journal ArticleDOI
Simultaneous temporal trends in dementia incidence and prevalence, 2005–2013: a population-based retrospective cohort study in Saskatchewan, Canada
Julie Kosteniuk,Debra Morgan,Megan E O'Connell,Andrew Kirk,Margaret Crossley,Gary F. Teare,Norma J. Stewart,Vanina Dal Bello-Haas,Lesley McBain,Haizhen Mou,Dorothy Forbes,Anthea Innes,Jacqueline Quail +12 more
TL;DR: A simultaneous trend of decreasing incidence and increasing prevalence of dementia over a relatively short 8-year time period from 2005/2006 to 2012/2013 is observed, indicating that the average survival time of dementia is lengthening.
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Performance of comorbidity measures for predicting outcomes in population-based osteoporosis cohorts
TL;DR: The Elixhauser index resulted in significant improvements in the c-statistic for osteoporosis-related and hip fractures, andRecommendations about the optimal comorbidity measure will vary with the outcome under investigation.
Journal ArticleDOI
Incidence and prevalence of dementia in linked administrative health data in Saskatchewan, Canada: a retrospective cohort study
Julie Kosteniuk,Debra Morgan,Megan E O'Connell,Andrew Kirk,Margaret Crossley,Gary F. Teare,Norma J. Stewart,Vanina Dal Bello-Haas,Dorothy Forbes,Anthea Innes,Jacqueline Quail +10 more
TL;DR: Linking multiple sources of registry data contributes to the understanding of the epidemiology of dementia across multiple segments of the population, inclusive of individuals residing in long-term care.
Journal ArticleDOI
Predictive performance of comorbidity measures in administrative databases for diabetes cohorts
TL;DR: Cohort age and the health outcome under investigation, but not the diagnosis coding system, may influence the predictive performance of comorbidity measure for studies about diabetes populations using administrative health data.