Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Russ Mardon"'
Autor:
Jennifer G. Nooney, M. Sue Kirkman, Kai McKeever Bullard, Zachary White, Kristi Meadows, Joanne R. Campione, Russ Mardon, Gonzalo Rivero, Stephen R. Benoit, Emily Pfaff, Deborah Rolka, Sharon Saydah
Publikováno v:
Journal of Clinical & Translational Endocrinology, Vol 21, Iss , Pp 100231- (2020)
Objectives: Surveys for U.S. diabetes surveillance do not reliably distinguish between type 1 and type 2 diabetes, potentially obscuring trends in type 1 among adults. To validate survey-based algorithms for distinguishing diabetes type, we linked su
Externí odkaz:
https://doaj.org/article/e460ab779815496a98c93fccae46c1f6
Autor:
Qilu Yu, Maurice C. Johnson, Howard A. Fishbein, Rebecca J. Birch, Xiaoshu Zhu, Russ Mardon, Wilson Pace, Holly L. Sawyer, Sunitha M. Mathew, Lori S. Merrill, Keith D. Umbel, Sophia Jang
Publikováno v:
Journal of Endocrinological Science. 3:26-35
We identified trajectories of diabetes risk factors in the Longitudinal Epidemiologic Assessment of Diabetes Risk (LEADR) cohort analyzing 8 years of electronic health records on 1.4 million patients, and investigated associations between trajectorie
Autor:
Maurice C. Johnson, Howard Fishbein, Russ Mardon, Daniella Meeker, Natalie D. Ritchie, Qilu Yu, Wilson D. Pace, Rebecca Birch, Jennifer K. Carroll
Publikováno v:
Journal of Endocrinological Science. 3:1-15
Objective: This study examined the influential role of making a prediabetes diagnosis resulting in the subsequent delay in onset of type 2 diabetes. Research Design and Methods: Using electronic medical records, a multivariable logistic regression mo
Publikováno v:
JAMA network open. 5(4)
Autor:
M. Sue Kirkman, Kai McKeever Bullard, Joanne R. Campione, Jennifer Nooney, Kristi Meadows, Zachary White, Deborah B. Rolka, Sharon Saydah, Gonzalo Rivero, Russ Mardon, Stephen R. Benoit, Emily R. Pfaff
Publikováno v:
Journal of Clinical & Translational Endocrinology
Journal of Clinical & Translational Endocrinology, Vol 21, Iss, Pp 100231-(2020)
Journal of Clinical & Translational Endocrinology, Vol 21, Iss, Pp 100231-(2020)
Highlights • U.S. diabetes surveillance based on surveys may not reliably distinguish by type. • We married surveys from adults with a gold standard diagnoses based on EHR data. • Our algorithm uses self-reported type and use of insulin to iden
Autor:
Jennifer G. Nooney, M. Sue Kirkman, Stephen R. Benoit, Joanne R. Campione, Deborah B. Rolka, Kai M. Bullard, Russ Mardon, Katherine A. Bergamo, Sharon Saydah, Emily Pfaff
Publikováno v:
Diabetes. 68
Type 1 (T1D) and type 2 (T2D) diabetes are distinct diseases, but most federal surveys used to monitor diabetes prevalence have not included questions on diabetes type. To design and validate survey questions that will distinguish between T1D and T2D
Autor:
Mark W. Friedberg, Peggy G. Chen, Michael I. Harrison, Laura Raaen, Linda R. Bergofsky, Russ Mardon, Denise St. Clair
Publikováno v:
Joint Commission journal on quality and patient safety. 45(7)
Background Public reporting of provider performance currently encompasses a range of measures of quality, cost, and patient experience of care. However, little is known about how medical groups use measures for performance improvement. This informati
Autor:
Frank Jenkins, Lori S. Merrill, Maurice C. Johnson, Deborah B. Rolka, Joanne R. Campione, David A. Marker, Xuanping Zhang, Sundar S. Shrestha, Linda S. Geiss, Jennifer Nooney, Russ Mardon, Sharon Saydah
Publikováno v:
Preventing Chronic Disease
States bear substantial responsibility for addressing the rising rates of diabetes and prediabetes in the United States. However, accurate state-level estimates of diabetes and prediabetes prevalence that include undiagnosed cases have been impossibl
Autor:
Deborah Carpenter, Russ Mardon, Mary P. Nix, Susan Hassell, Shannon Fair, Maurice C. Johnson, Sari Siegel
Publikováno v:
Joint Commission journal on quality and patient safety. 44(10)
Background Diffusion of innovations can be a slow process, posing a major challenge to quality improvement in health care. Learning communities can provide a rich, collaborative environment that supports the adoption of health care innovations and mo
Autor:
Sundar S. Shrestha, Joanne R. Campione, Russ Mardon, Jane Li, Deborah B. Rolka, Sharon Saydeh, Frank Jenkins, David A. Marker, Jennifer Nooney, Xuanping Zhang
Publikováno v:
Statistics in medicine. 37(27)
Many statisticians and policy researchers are interested in using data generated through the normal delivery of health care services, rather than carefully designed and implemented population-representative surveys, to estimate disease prevalence. Th