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Sylvie Perreault

Biographic Data

ID5540419
NAMESylvie Perreault
GIVEN NAMESSylvie
FAMILY NAMEPerreault
SIGNATUREPERREAULT S
AFFILIATIONSUniversité de Montréal
ORCID0000-0002-0066-0127
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2010
LATEST PUBLICATION YEAR2019
H-INDEX0
  • Lasso Regression for the Prediction of Intermediate Outcomes Related to Cardiovascular Disease Prevention Using the TRANSIT Quality Indicators

    Cynthia Khanji, Lyne Lalonde et al.•ARTICLE•Medical Care•2019•References: 40

    BACKGROUND: Cardiovascular disease morbidity and mortality are largely influenced by poor control of hypertension, dyslipidemia, and diabetes. Process indicators are essential to monitor the effectiveness of quality improvement strategies. However, process indicators should be validated by demonstrating their ability to predict desirable outcomes. The objective of this study is to identify an effective method for building prediction models and to…

  • Ideal and actual involvement of community pharmacists in health promotion and prevention

    Open Access•Marie-Claude Laliberté, Sylvie Perreault et al.•ARTICLE•BMC Public Health•2012

    Although community pharmacists think they should play a significant role in health promotion and prevention, they recognize a wide gap between their ideal and actual levels of involvement. The efficient integration of primary-care pharmacists and pharmacies into public health cannot be envisioned without addressing important organizational barriers

  • Impact of Adherence to Antihypertensive Agents on Clinical Outcomes and Hospitalization Costs

    Alice Dragomir, Rochelle Côté et al.•ARTICLE•Medical Care•2010•References: 34

    BACKGROUND: Cardiovascular diseases (CVD) represent a heavy economic burden on individuals, health services, and society. Low adherence to antihypertensive (AH) agents is acknowledged as a major contributor to the lack of blood pressure control, and may have a significant impact on clinical outcomes and healthcare costs. OBJECTIVES: To evaluate the impact of low adherence to AH agents on cardiovascular outcomes and hospitalization costs. METHODS:…

No prominent works on this page.

  • Impact of Adherence to Antihypertensive Agents on Clinical Outcomes and Hospitalization Costs

    Alice Dragomir, Rochelle Côté et al.•ARTICLE•Medical Care•2010•References: 34

    BACKGROUND: Cardiovascular diseases (CVD) represent a heavy economic burden on individuals, health services, and society. Low adherence to antihypertensive (AH) agents is acknowledged as a major contributor to the lack of blood pressure control, and may have a significant impact on clinical outcomes and healthcare costs. OBJECTIVES: To evaluate the impact of low adherence to AH agents on cardiovascular outcomes and hospitalization costs. METHODS:…

  • Ideal and actual involvement of community pharmacists in health promotion and prevention

    Open Access•Marie-Claude Laliberté, Sylvie Perreault et al.•ARTICLE•BMC Public Health•2012

    Although community pharmacists think they should play a significant role in health promotion and prevention, they recognize a wide gap between their ideal and actual levels of involvement. The efficient integration of primary-care pharmacists and pharmacies into public health cannot be envisioned without addressing important organizational barriers

  • Lasso Regression for the Prediction of Intermediate Outcomes Related to Cardiovascular Disease Prevention Using the TRANSIT Quality Indicators

    Cynthia Khanji, Lyne Lalonde et al.•ARTICLE•Medical Care•2019•References: 40

    BACKGROUND: Cardiovascular disease morbidity and mortality are largely influenced by poor control of hypertension, dyslipidemia, and diabetes. Process indicators are essential to monitor the effectiveness of quality improvement strategies. However, process indicators should be validated by demonstrating their ability to predict desirable outcomes. The objective of this study is to identify an effective method for building prediction models and to…

Medicine (3 works) · Disease (2 works) · Environmental health (2 works) · Internal Medicine (2 works) · Internal Medicine (2 works) · Advanced Causal Inference Techniques (1 works) · Artificial Intelligence in Healthcare (1 works) · Biostatistics (1 works) · Blood pressure (1 works) · Blood Pressure and Hypertension Studies (1 works)

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