J
Jill A. Hayden
Researcher at Dalhousie University
Publications - 134
Citations - 15674
Jill A. Hayden is an academic researcher from Dalhousie University. The author has contributed to research in topics: Low back pain & Systematic review. The author has an hindex of 40, co-authored 124 publications receiving 12559 citations. Previous affiliations of Jill A. Hayden include University Health Network & University of Toronto.
Papers
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Journal ArticleDOI
Assessing Bias in Studies of Prognostic Factors
Jill A. Hayden,Daniëlle A W M van der Windt,Jennifer Cartwright,Pierre Côté,Claire Bombardier +4 more
TL;DR: The refined Quality In Prognosis Studies tool is described, which includes questions related to these areas that can inform judgments of risk of bias in prognostic research.
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Evaluation of the quality of prognosis studies in systematic reviews.
TL;DR: A review of reviews to describe methods used to assess the quality of prognosis studies and to describe how well current practices assess potential biases is to develop recommendations to guide future quality appraisal.
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A Meta-Analysis of Working Memory Impairments in Children With Attention-Deficit/Hyperactivity Disorder
TL;DR: Evidence of WM impairments in children with ADHD supports recent theoretical models implicating WM processes in ADHD and is needed to more clearly delineate the nature, severity, and specificity of the impairments to ADHD.
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Prognosis Research Strategy (PROGRESS) 3: prognostic model research.
Ewout W. Steyerberg,Karel G.M. Moons,Daniëlle A W M van der Windt,Jill A. Hayden,Pablo Perel,Sara Schroter,Richard D Riley,Harry Hemingway,Douglas G. Altman +8 more
TL;DR: How prognostic models are developed and validated are reviewed and assessed for their impact on practice and patient outcomes are addressed, illustrating these ideas with examples.
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Exercise therapy for treatment of non-specific low back pain.
TL;DR: Exercise therapy appears to be slightly effective at decreasing pain and improving function in adults with chronic low-back pain, particularly in healthcare populations.