K
Katherine M. Newton
Researcher at Group Health Research Institute
Publications - 186
Citations - 11727
Katherine M. Newton is an academic researcher from Group Health Research Institute. The author has contributed to research in topics: Randomized controlled trial & Population. The author has an hindex of 52, co-authored 186 publications receiving 10756 citations. Previous affiliations of Katherine M. Newton include Indiana University – Purdue University Indianapolis & Fred Hutchinson Cancer Research Center.
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Journal ArticleDOI
Incidence, outcomes, and cost of foot ulcers in patients with diabetes.
Scott D. Ramsey,Katherine M. Newton,David K. Blough,David K. McCulloch,Nirmala Sandhu,Gayle E. Reiber,Edward H. Wagner +6 more
TL;DR: The results appear to support the value of foot-ulcer prevention programs for patients with diabetes and the attributable cost of care compared with that in patients without foot ulcers.
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Risk of hospital admission for idiopathic venous thromboembolism among users of postmenopausal oestrogens
TL;DR: The risk of idiopathic VTE is about three times higher among current users of replacement oestrogens than among non-users, however, the absolute risk is low for both groups and accounts for only a modest increase in morbidity.
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Effect of Improved Glycemic Control on Health Care Costs and Utilization
Edward H. Wagner,Nirmala Sandhu,Katherine M. Newton,David K. McCulloch,Scott D. Ramsey,Louis C. Grothaus +5 more
TL;DR: The data suggest that a sustained reduction in HbA(1c) level among adult diabetic patients is associated with significant cost savings within 1 to 2 years of improvement.
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Urinary Incontinence in US Women A Population-Based Study
TL;DR: Age, BMI, race, medical comorbidity, current major depression, diabetes, a history of hysterectomy, parity, and having only had cesarean deliveries are each independent factors significantly associated with the likelihood of having UI.
Journal ArticleDOI
Validation of Electronic Medical Record-Based Phenotyping Algorithms: Results and Lessons Learned From the eMERGE Network
Katherine M. Newton,Peggy L. Peissig,Abel N. Kho,Suzette J. Bielinski,Richard L. Berg,Vidhu Choudhary,Melissa A. Basford,Christopher G. Chute,Iftikhar J. Kullo,Rongling Li,Jennifer A. Pacheco,Luke V. Rasmussen,Leslie Spangler,Joshua C. Denny +13 more
TL;DR: Validation is a worthwhile process that not only measures phenotype performance but also strengthens phenotype algorithm definitions and enhances their inter-institutional sharing.