R
Roger L. Brown
Researcher at University of Wisconsin-Madison
Publications - 300
Citations - 12413
Roger L. Brown is an academic researcher from University of Wisconsin-Madison. The author has contributed to research in topics: Medicine & Randomized controlled trial. The author has an hindex of 55, co-authored 276 publications receiving 10455 citations. Previous affiliations of Roger L. Brown include Loyola University Medical Center & Partners HealthCare.
Papers
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Journal ArticleDOI
Working Conditions in Primary Care: Physician Reactions and Care Quality
Mark Linzer,Linda Baier Manwell,Eric S. Williams,James A. Bobula,Roger L. Brown,Anita B. Varkey,Bernice Man,Julia E. McMurray,Ann Maguire,Barbara A. Horner-Ibler,Mark D. Schwartz +10 more
TL;DR: Adverse workflow (time pressure and chaotic environments), low work control, and unfavorable organizational culture were strongly associated with low physician satisfaction, high stress, burnout, and intent to leave, and no associations were seen between adverse physician reactions and the quality of patient care.
Journal ArticleDOI
The use of a factor-analytic procedure for assessing the validity of an employee safety climate model
Roger L. Brown,Harold Holmes +1 more
TL;DR: This paper assesses the validity of a safety climate measure proposed by Zohar on an American sample of production workers, and indicates that the climate structures did not differ between the two groups of interest, subsequently providing a valid and reliable climate measure across the groups.
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Electronic medical records and physician stress in primary care: results from the MEMO Study
Stewart F. Babbott,Linda Baier Manwell,Roger L. Brown,Enid Montague,Eric S. Williams,Mark D. Schwartz,Erik P. Hess,Mark Linzer +7 more
TL;DR: Stress may rise for physicians with a moderate number of EMR functions, primary care work conditions, and physician satisfaction, stress and burnout as well as time pressure during visits.
Journal ArticleDOI
Assessing specific mediational effects in complex theoretical models
TL;DR: In this paper, structural equation modeling (SEM) is proposed as an alternative for assessing mediation in complex structures and a strategy for supplemental details that more accurately measure the magnitude of mediational effects, in particular specific indirect effects.
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A Cluster Randomized Trial of Interventions to Improve Work Conditions and Clinician Burnout in Primary Care: Results from the Healthy Work Place (HWP) Study
Mark Linzer,Mark Linzer,Sara Poplau,Ellie Grossman,Anita B. Varkey,Steven H. Yale,Eric S. Williams,Lanis L. Hicks,Roger L. Brown,Jill Wallock,Diane Kohnhorst,Michael Barbouche +11 more
TL;DR: Organizations may be able to improve burnout, dissatisfaction and retention by addressing communication and workflow, and initiating QI projects targeting clinician concerns.