Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Daniel S. Sapp"'
Publikováno v:
Quality of Life Research. 29:953-958
We compared self-reported domains of health between patients who with vs. without a recent heart failure (HF) hospitalization. We fielded a 59-item questionnaire that included the 12-item Kansas City Cardiomyopathy Questionnaire (KCCQ-12) to age/sex-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b960f2cb6597351e34ed6b64b53c7c87
https://doi.org/10.1007/s11136-019-02373-9
https://doi.org/10.1007/s11136-019-02373-9
Autor:
Gregory A. Nichols, Maureen O’Keeffe-Rosetti, Teresa M. Kimes, Deborah Anzalone, Temitope Olufade, Daniel S. Sapp, Kristi Reynolds, Stephen P. Fortmann
Publikováno v:
The American Journal of Cardiology. 119:410-415
High triglyceride (TG) levels among patients with type 2 diabetes mellitus (DM) are associated with higher medical costs. We analyzed the economic impact of TG-lowering therapies and whether the association between medical costs and therapy differed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccdd302dedb82a4d47a4bcd6e5d87c4a
https://doi.org/10.1016/j.amjcard.2016.10.029
https://doi.org/10.1016/j.amjcard.2016.10.029
Publikováno v:
Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation. 29(4)
We compared self-reported domains of health between patients who with vs. without a recent heart failure (HF) hospitalization.We fielded a 59-item questionnaire that included the 12-item Kansas City Cardiomyopathy Questionnaire (KCCQ-12) to age/sex-m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::c9e09240a5c51a6248377a3af83a91d3
https://pubmed.ncbi.nlm.nih.gov/31782020
https://pubmed.ncbi.nlm.nih.gov/31782020
Autor:
Paul Coplan, Daniel S. Sapp, Brian Hazlehurst, Carla A. Green, John Brandes, Shannon L. Janoff, Angela DeVeaugh-Geiss
Publikováno v:
Pharmacoepidemiology and Drug Safety
Purpose To facilitate surveillance and evaluate interventions addressing opioid‐related overdoses, algorithms are needed for use in large health care databases to identify and differentiate community‐occurring opioid‐related overdoses from inpa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::564faf2ddd6a11646c16c6ac7a8a8749
https://pubmed.ncbi.nlm.nih.gov/31095831
https://pubmed.ncbi.nlm.nih.gov/31095831
Autor:
Brandon Geise, Teresa A. Hillier, Michele Heisler, Terry Kimes, Stan Xu, Eric Kopp, Beth E. Waitzfelder, Katherine M. Newton, Gabrielle Gundersen, Bix E. Swain, Junling Ren, Rebecca J. Williams, Jean M. Lawrence, Marsha A. Raebel, Christina L. Clarke, Barbara G. Silverman, Lora Bounds, Michael R Shainline, Emily B. Schroeder, Suma Vupputuri, Stephen E. Kurtz, Joseph V. Selby, Douglas W. Roblin, Gregory A. Nichols, Ashli Owen-Smith, Eileen Rillamas-Sun, Andy Karter, Abraham Thomas, Julie A. Schmittdiel, Aida Li, Nonna Akkerman, John V. Parker, Melissa G. Butler, Trish Siegler, Luke V. Rasmussen, Mary Becker, Nancy E. Sherwood, Xiaowei Sherry Yan, Glenn K. Goodrich, William T. Donahoo, Ram D. Pathak, John F. Steiner, Cathy Chou, Chengyi Zheng, Liz Dobie, Cynthia Nakasato, Ameena T. Ahmed, Heather Morris, Amit Acharya, Jian Leon Zhang, Romain Neugebauer, W. F. Stewart, Jay Desai, Robert J. Reid, Ronald I. Harris, Melissa Preciado, Jodi B Segal, Brian Hazlehurst, Patrick J. O'Connor, Anthony Heymann, Daniel S. Sapp, Rebecca Stametz, Kris A. Ohnsorg, Andrea R. Paolino, Jennifer Elston Lafata, Assiamira Ferrara, Joe V. Selby, Aaron W. Miller
Publikováno v:
Preventing Chronic Disease
Introduction Electronic health record (EHR) data enhance opportunities for conducting surveillance of diabetes. The objective of this study was to identify the number of people with diabetes from a diabetes DataLink developed as part of the SUPREME-D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d573906ca29f062d9c7ff632a4ae347f
https://pubmed.ncbi.nlm.nih.gov/22677160
https://pubmed.ncbi.nlm.nih.gov/22677160