Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Kara Haas"'
Autor:
Janine van Til, Axel Muehlbacher, Jan Ostermann, Thomas G. Poder, Y. Christy Choi, Natalia Hawken, EM Oehrlein, Alejandra Duenas, Elizabeth Molsen-David, Mickaël Hiligsmann, Kimberley Hockley, Wolfgang Greiner, Frank Xiaoqing Liu, Jiat Ling Poon, Ilya Ivlev, Kara Haas, Christine Juhnke, Kevin Marsh
Publikováno v:
Value in Health
Value in Health, Elsevier, 2020, 23 (7), pp.831-841. ⟨10.1016/j.jval.2019.11.009⟩
Value in health, 23(7), 831-841. Elsevier
Value in Health, Elsevier, 2020, 23 (7), pp.831-841. ⟨10.1016/j.jval.2019.11.009⟩
Value in health, 23(7), 831-841. Elsevier
OBJECTIVE: This study examines European decision makers' consideration and use of quantitative preference data.; METHODS: The study reviewed quantitative preference data usage in 31 European countries to support marketing authorization, reimbursement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::506d08df7ebed89ef28473f90022add0
https://hal.archives-ouvertes.fr/hal-02972372
https://hal.archives-ouvertes.fr/hal-02972372
Autor:
Kara Haas, Jan Ostermann, Mickaël Hiligsmann, Yookyung Christy Choi, Wolfgang Greiner, Axel C. Mühlbacher, Natalia Hawken, Thomas G. Poder, Elizabeth Molsen-David, Kimberley Hockley, Alejandra Duenas, Christin Juhnke, EM Oehrlein, Janine Astrid van Til, Frank Xiaoqing Liu, Kevin Marsh, Ilya Ivlev
Publikováno v:
International Journal of Technology Assessment in Health Care. 35:70-70
IntroductionHealth Technology Assessment (HTA) and regulatory decisions involve value judgements. As patient groups, industry, and regulatory agencies conduct more preference studies to quantify these judgements, a better understanding of the methods
Autor:
Albert G. Crawford, Christine Cote, Somesh Nigam, Mehmet Daskiran, Rob Schuette, Kara Haas, Candace Gunnarsson, Sara Haas, Joseph E. Couto
Publikováno v:
Population Health Management. 13:151-161
This study analyzed GE Centricity Electronic Medical Record (EMR) data to examine the effects of body mass index (BMI) and obesity, key risk factor components of metabolic syndrome, on the prevalence of 3 chronic diseases: type II diabetes mellitus,
Publikováno v:
Journal of Occupational & Environmental Medicine. 49:1317-1324
To document the absenteeism costs associated with obesity and morbid obesity by occupation.Data from the Medical Expenditure Panel Survey for 2000-2004 are examined. The outcomes are probability of missing any work in the previous year and number of
Autor:
Sara Haas, Mehmet Daskiran, Somesh Nigam, Albert G. Crawford, Rob Schuette, Joseph Yaskin, Joseph E. Couto, Christine Cote, Candace Gunnarsson, Kara Haas
Publikováno v:
Population health management. 13(3)
The study objective was to facilitate investigations by assessing the external validity and generalizability of the Centricity Electronic Medical Record (EMR) database and analytical results to the US population using the National Ambulatory Medical
Publikováno v:
Journal of occupational and environmental medicine. 50(5)
Objective: To determine the extent to which absenteeism costs associated with obesity and morbid obesity are traceable to diabetes, and whether obesity and morbid obesity remain predictors of absenteeism costs after controlling for diabetes. Methods:
Publikováno v:
Journal of Occupational & Environmental Medicine. 50:1094-1095