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Treating Blood Pressure Correctly by Measuring It Correctly

Treating Blood Pressure Correctly by Measuring It Correctly Letters Author Contributions: Dr Martinez had full access to all of the data in the study Table 2. Correlates and Outcomes of Burnout, Multivariable Regression and takes responsibility for the integrity of the data and the accuracy Models Using Backward Variable Selection of the data analysis. Study concept and design: Windover, Rothberg. Parameter Value Acquisition, analysis, or interpretation of data: All authors. Correlates of Burnout Drafting of the manuscript: Windover, Martinez. Overall Burnout, OR (95% CI) Critical revision of the manuscript for important intellectual content: All authors. Statistical analysis: Windover, Martinez. Nonwhite (vs white) 0.54 (0.36-0.82) Administrative, technical, or material support: Windover, Mercer, Neuendorf. Clinical FTE, % 2.88 (1.58-5.28) Study supervision: Neuendorf, Boissy, Rothberg. Age 0.98 (0.97-0.99) Additional Contributions: Dan Bokar, Office of Patient Experience, Cleveland Emotional Exhaustion subscale, OR (95% CI) Clinic, provided assistance with data collection, and Matt Karafa, PhD, Quantitative Health Services, Cleveland Clinic, provided assistance with Nonwhite (vs white) 0.46 (0.28-0.73) preliminary analyses. We also thank the Office of Professional Staff Affairs at the Clinical FTE, % 3.05 (1.56-5.97) Cleveland Clinic for sharing data associated with this study. No compensation >20 y in practice (vs <10 y) 0.64 (0.44-0.92) was received from a funding sponsor http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png JAMA Internal Medicine American Medical Association

Treating Blood Pressure Correctly by Measuring It Correctly

JAMA Internal Medicine , Volume 178 (6) – Jun 16, 2018

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Publisher
American Medical Association
Copyright
Copyright 2018 American Medical Association. All Rights Reserved.
ISSN
2168-6106
eISSN
2168-6114
DOI
10.1001/jamainternmed.2018.0311
Publisher site
See Article on Publisher Site

Abstract

Letters Author Contributions: Dr Martinez had full access to all of the data in the study Table 2. Correlates and Outcomes of Burnout, Multivariable Regression and takes responsibility for the integrity of the data and the accuracy Models Using Backward Variable Selection of the data analysis. Study concept and design: Windover, Rothberg. Parameter Value Acquisition, analysis, or interpretation of data: All authors. Correlates of Burnout Drafting of the manuscript: Windover, Martinez. Overall Burnout, OR (95% CI) Critical revision of the manuscript for important intellectual content: All authors. Statistical analysis: Windover, Martinez. Nonwhite (vs white) 0.54 (0.36-0.82) Administrative, technical, or material support: Windover, Mercer, Neuendorf. Clinical FTE, % 2.88 (1.58-5.28) Study supervision: Neuendorf, Boissy, Rothberg. Age 0.98 (0.97-0.99) Additional Contributions: Dan Bokar, Office of Patient Experience, Cleveland Emotional Exhaustion subscale, OR (95% CI) Clinic, provided assistance with data collection, and Matt Karafa, PhD, Quantitative Health Services, Cleveland Clinic, provided assistance with Nonwhite (vs white) 0.46 (0.28-0.73) preliminary analyses. We also thank the Office of Professional Staff Affairs at the Clinical FTE, % 3.05 (1.56-5.97) Cleveland Clinic for sharing data associated with this study. No compensation >20 y in practice (vs <10 y) 0.64 (0.44-0.92) was received from a funding sponsor

Journal

JAMA Internal MedicineAmerican Medical Association

Published: Jun 16, 2018

References