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Health Sciences Librarianship [PDF]
Journal of the Medical Library Association, 2016This sixteen-chapter book is broken up into four parts that cover health sciences librarianship in a variety of settings, with an extensive preface that discusses the field of librarianship and information sciences, particularly health sciences ...
Suzanne Duncan
doaj +3 more sources
Use of Delphi in health sciences research: A narrative review
Medicine, 2023The use of the Delphi technique is prevalent across health sciences research, and it is used to identify priorities, reach consensus on issues of importance and establish clinical guidelines.
Zhida Shang
semanticscholar +1 more source
Knowledge of students of the Faculty of Health Sciences about Music Therapy
Seminars in Medical Writing and Education, 2023Objective: To evaluate the knowledge of music therapy among students of Medicine, Nursing and Kinesiology of the Faculty of Health Sciences of the University of Business and Social Sciences (UCES) of the City of Buenos Aires in the second semester of ...
Marcela Lichtensztejn+3 more
semanticscholar +1 more source
Conceptualizing, Contextualizing, and Operationalizing Race in Quantitative Health Sciences Research
Annals of Family Medicine, 2022Differences in health outcomes across racial groups are among the most commonly reported findings in health disparities research. Often, these studies do not explicitly connect observed disparities to mechanisms of systemic racism that drive adverse ...
Elle Lett+4 more
semanticscholar +1 more source
Co-production: A resource to guide co-producing research in the sport, exercise, and health sciences
Qualitative Research in Sport, Exercise and Health, 2022There is growing interest in co-production in the sport, exercise, and health sciences. That includes from researchers in sport and exercise physiology, public health, sports medicine, sport sociology, sport and exercise psychology, sport management ...
Brett Smith+3 more
semanticscholar +1 more source
Science Advances, 2022
Machine learning (ML) methodology used in the social and health sciences needs to fit the intended research purposes of description, prediction, or causal inference.
A. Leist+6 more
semanticscholar +1 more source
Machine learning (ML) methodology used in the social and health sciences needs to fit the intended research purposes of description, prediction, or causal inference.
A. Leist+6 more
semanticscholar +1 more source
National Institute of Environmental Health Sciences
Definitions, 2020Health disparities exist between citizens of lower socioeconomic status (including minorities and other medically underserved citizens) and those more economically advantaged.
Linda Birnbaum
semanticscholar +2 more sources
An Urban Population Health Observatory System to Support COVID-19 Pandemic Preparedness, Response, and Management: Design and Development Study [PDF]
JMIR Public Health Surveill 2021;7(6):e28269, 2021Background: COVID-19 is impacting people worldwide and is currently a leading cause of death in many countries. This study sought to redefine the Healthy People 2030 SDoH taxonomy to accommodate the COVID-19 pandemic. Furthermore, we aim to provide a blueprint and implement a prototype for the Urban Population Health Observatory (UPHO), a web-based ...
arxiv +1 more source