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Institution

Saskatchewan Health

GovernmentRegina, Saskatchewan, Canada
About: Saskatchewan Health is a government organization based out in Regina, Saskatchewan, Canada. It is known for research contribution in the topics: Population & Health care. The organization has 442 authors who have published 489 publications receiving 7728 citations.


Papers
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Journal ArticleDOI
TL;DR: San Diego Hospice (F.D.B), San Diego, California, USA; Saskatchewan Health District Management Services (H.M.B.), Regina, Saskatchewan, Canada; St. Mary's Hospital Center (J.W.), Oshawa, Ontario, Canada as discussed by the authors.

127 citations

Journal ArticleDOI
TL;DR: A population-based nested case-control study of people aged 5-85 years who were registered with Saskatchewan Health and eligible for prescription-drug benefit to assess whether SSRI use was associated with a decreased risk of colorectal cancer, and tricyclic-antidepressant use with an increased risk of colon cancer.
Abstract: Summary Background Animal studies suggest that selective serotonin reuptake inhibitors (SSRI) retard the growth of colorectal tumours, whereas tricyclic antidepressants increase the risk of colorectal cancer. We aimed to assess whether SSRI use was associated with a decreased risk of colorectal cancer, and tricyclic-antidepressant use with an increased risk of colorectal cancer. Methods We did a population-based nested case-control study from Jan 1, 1981, to Dec 31, 2000, of people aged 5–85 years who were registered with Saskatchewan Health and eligible for prescription-drug benefit. Between Jan 1, 1981, and Dec 31, 2000, 6544 cases with colorectal cancer were identified from the Saskatchewan Cancer Agency registry and analysed for use of tricyclic antidepressants; between Jan 1, 1991, and Dec 31, 2000, 3367 cases with colorectal cancer were identified from the Saskatchewan Cancer Agency registry and analysed for SSRI use. For every case, four eligible controls matched for age, sex, and calendar time (ie, free of any cancer in calendar month of case diagnosis) were selected randomly by a statistician who used incidence density sampling. By use of conditional logistic regression, we assessed incidence-rate ratios of having colorectal cancer in association with use of antidepressants, analysing dose and time of use. Findings A decreased risk of colorectal cancer was associated with high (ie, >6·0×10 −6 mol per day) daily SSRI dose during 0–5 years before diagnosis (incidence-rate ratio 0·70 [95% CI 0·50–0·96], p for trend=0·0172), adjusted for age, sex, use of non-steroidal anti-inflammatory drugs in the same period, and SSRI use during 6–10 years before index date (ie, date of diagnosis for a case and the same date for matched controls). No consistent relation was recorded for risk of colorectal cancer and use of tricyclic antidepressants. Interpretation SSRI use might inhibit the growth of colorectal tumours through an antipromoter effect or direct cytotoxic effect. Further investigation is needed, with more complete assessment of confounders such as lifestyle factors (eg, diet), use of drugs, and comorbidity (eg, diabetes or inflammatory bowel disease) that might affect the occurrence of colorectal cancer.

126 citations

Journal ArticleDOI
TL;DR: Evidence for the reliability and validity of the RAI-MDS QIs remains inconclusive, but the QIs provide a useful tool for quality monitoring and to inform quality improvement programs and initiatives, however, caution should be exercised when interpreting the QI results.
Abstract: The Resident Assessment Instrument-Minimum Data Set (RAI-MDS) 2.0 is designed to collect the minimum amount of data to guide care planning and monitoring for residents in long-term care settings. These data have been used to compute indicators of care quality. Use of the quality indicators to inform quality improvement initiatives is contingent upon the validity and reliability of the indicators. The purpose of this review was to systematically examine published and grey research reports in order to assess the state of the science regarding the validity and reliability of the RAI-MDS 2.0 Quality Indicators (QIs). We systematically reviewed the evidence for the validity and reliability of the RAI-MDS 2.0 QIs. A comprehensive literature search identified relevant original research published, in English, prior to December 2008. Fourteen articles and one report examining the validity and/or reliability of the RAI-MDS 2.0 QIs were included. The studies fell into two broad categories, those that examined individual quality indicators and those that examined multiple indicators. All studies were conducted in the United States and included from one to a total of 209 facilities. The number of residents included in the studies ranged from 109 to 5758. One study conducted under research conditions examined 38 chronic care QIs, of which strong evidence for the validity of 12 of the QIs was found. In response to these findings, the 12 QIs were recommended for public reporting purposes. However, a number of observational studies (n = 13), conducted in "real world" conditions, have tested the validity and/or reliability of individual QIs, with mixed results. Ten QIs have been studied in this manner, including falls, depression, depression without treatment, urinary incontinence, urinary tract infections, weight loss, bedfast, restraint, pressure ulcer, and pain. These studies have revealed the potential for systematic bias in reporting, with under-reporting of some indicators and over-reporting of others. Evidence for the reliability and validity of the RAI-MDS QIs remains inconclusive. The QIs provide a useful tool for quality monitoring and to inform quality improvement programs and initiatives. However, caution should be exercised when interpreting the QI results and other sources of evidence of the quality of care processes should be considered in conjunction with QI results.

124 citations

Book ChapterDOI
24 Apr 2002

123 citations

Journal ArticleDOI
TL;DR: Patients with more severe COPD, as defined by the model, had higher cardiovascular morbidity and mortality than patients with less severe COPd.
Abstract: To identify predictors of chronic obstructive pulmonary disease (COPD) severity and assess the relation between COPD severity and risk of cardiovascular outcomes A␣cohort of patients with diagnosed and treated COPD was compiled from the Saskatchewan Health longitudinal databases We used multivariate modeling to identify predictors of hospitalization for COPD as an indicator of COPD severity, and we used the model to characterize patients according to quintiles of COPD severity These severity levels were used as independent variables in multivariate models of cardiovascular outcomes Determinants of COPD severity included emphysema, recent nebulizer use, home oxygen services, corticosteroid use, frequent bronchodilator use, pneumonia and prior COPD exacerbation The 20% of patients with the highest COPD severity were 127 (CI: 107–150) times more likely to have arrhythmia, 125 (CI: 107–146) times more likely to have ischemic heart disease, 138 (CI: 111–171) times more likely to have angina, 228 (CI: 195–266) times more likely to have congestive heart failure, and 163 (CI: 122–216) times more likely to die of cardiovascular causes than the least severe 20% of patients Patients with more severe COPD, as defined by our model, had higher cardiovascular morbidity and mortality than patients with less severe COPD

112 citations


Authors

Showing all 449 results

NameH-indexPapersCitations
Gary R. Hunter7133716410
Lisa M. Lix5946213778
Peter O'Hare551269246
Edward D. Chan542249014
Paul Babyn5430711466
Roland N. Auer521208564
Paul N. Levett441378486
Alan A. Boulton391835253
Carl D'Arcy381295002
Vikram Misra371164363
Andrew W. Lyon281092449
Denis C. Lehotay27521756
Gary F. Teare26612749
Greg B. Horsman25491727
Emina Torlakovic24961899
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20232
20221
2021116
202088
201959
201836