Zobrazeno 1 - 10
of 254
pro vyhledávání: '"Bevin Cohen"'
Publikováno v:
Cancer Medicine, Vol 12, Iss 10, Pp 11889-11906 (2023)
Abstract Health disparities in cancer care persist, and in some cases are growing, despite decades of research aimed at achieving equal outcomes for all Americans. There is growing consensus that reducing disparities will require a shift from aiming
Externí odkaz:
https://doaj.org/article/a6281dbf7d4c47a0a0183536bd0962e2
Autor:
Jiyoun Song, Maxim Topaz, Aviv Y Landau, Robert Klitzman, Jingjing Shang, Patricia Stone, Margaret McDonald, Bevin Cohen
Publikováno v:
PLoS ONE, Vol 17, Iss 7, p e0270220 (2022)
The prevalence of patients who are Incapacitated with No Evident Advance Directives or Surrogates (INEADS) remains unknown because such data are not routinely captured in structured electronic health records. This study sought to develop and validate
Externí odkaz:
https://doaj.org/article/d6e701edef754441954df81911dfb01d
Autor:
Jennifer Ross Majumdar, Emily A Vertosick, Bevin Cohen, Melissa Assel, Marcia Levine, Margaret Barton-Burke
Publikováno v:
Asia-Pacific Journal of Oncology Nursing, Vol 6, Iss 4, Pp 440-445 (2019)
Objective: Our primary research aim was to determine the prevalence of preoperative anxiety in patients undergoing outpatient cancer surgery. Our secondary aim was to examine the association between preoperative anxiety and negative intraoperative an
Externí odkaz:
https://doaj.org/article/4a795ea6e8454a62a3253e6794244cad
Autor:
Jiyoun Song, MPhil, AGACNP-BC, RN, Bevin Cohen, PhD, RN, Jianfang Liu, PhD, Elaine Larson, PhD, FAAN, CIC, RN, Philip Zachariah, MD, MS
Publikováno v:
Current Therapeutic Research, Vol 93, Iss , Pp 100600- (2020)
Background: Although antibiotic use is an established risk factor for health care-associated Clostridiodes difficile infection, estimates of the association between infection and antibiotic use vary, depending upon how antibiotic exposure is measured
Externí odkaz:
https://doaj.org/article/78204eee838348eab2835dcc24376eb4
Akademický článek
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Autor:
Bevin, Cohen, Jonathan, DePierro, Chi C, Chan, Elaine, Tolan, Richa, Deshpande, Adriana, Feder, Jordyn H, Feingold, Lauren, Peccoralo, Robert H, Pietrzak, Jonathan, Ripp
Publikováno v:
JONA: The Journal of Nursing Administration. 52:598-607
This study aimed to identify factors associated with burnout in nurses and nurses' opinions regarding interventions to promote well-being during crisis conditions such as those experienced during the COVID-19 pandemic.Burnout among nurses is prevalen
Autor:
Beth, Oliver, Arlene, Travis, Ellen, Hughes, Lindsay, Condrat, Jennifer, Ullman, Bevin, Cohen, Frances, Cartwright
Publikováno v:
Journal of Nursing Care Quality. 37:300-306
Heart failure readmissions are common, though some are preventable through evidence-based management.Despite outperforming national benchmarks for 30-day readmissions, compliance with an evidence-based institutional heart failure management pathway w
Autor:
Kimberly Souffront, Sarah Nowlin, Kavita Rampertaap, Bevin Cohen, Tiffany Goldwire, Diana Lulgjuraj
Publikováno v:
JONA: The Journal of Nursing Administration. 51:495-499
OBJECTIVE To describe nurses' research knowledge, attitudes, and practices within an academic hospital system. BACKGROUND Hospitals are investing in research resources to meet Magnet® goals and advance the science of nursing, but nurses' specific ne
Publikováno v:
Journal of Infection and Public Health, Vol 7, Iss 3, Pp 224-232 (2014)
Summary: Background: Antibiotic resistance is increasing in many community settings. The purpose of this study was to determine the proportion of antibiotic resistant community-associated bloodstream infections (CA-BSIs) present on hospital admission
Externí odkaz:
https://doaj.org/article/09e95a704f1741dab543916572f7ec9e
Autor:
David P. Calfee, Jingjing Shang, Jiyoun Song, Bevin Cohen, Jianfang Liu, Elioth Sanabria, David D. Yao, Philip Zachariah, Elaine Larson
Publikováno v:
Infection Control & Hospital Epidemiology. 43:298-305
Objectives:The objectives of this study were (1) to develop and validate a simulation model to estimate daily probabilities of healthcare-associated infections (HAIs), length of stay (LOS), and mortality using time varying patient- and unit-level fac