Data Science Trends Relevant to Nursing Practice: A Rapid Review of the 2020 Literature.

BACKGROUND: The term "data science" encompasses several methods, many of which are considered cutting edge and are being used to influence care processes across the world. Nursing is an applied science and a key discipline in health care systems in both clinical and administrative areas, making the profession increasingly influenced by the latest advances in data science. The greater informatics community should be aware of current trends regarding the intersection of nursing and data science, as developments in nursing practice have cross-professional implications. OBJECTIVES: This study aimed to summarize the latest (calendar year 2020) research and applications of nursing-relevant patient outcomes and clinical processes in the data science literature. METHODS: We conducted a rapid review of the literature to identify relevant research published during the year 2020. We explored the following 16 topics: (1) artificial intelligence/machine learning credibility and acceptance, (2) burnout, (3) complex care (outpatient), (4) emergency department visits, (5) falls, (6) health care-acquired infections, (7) health care utilization and costs, (8) hospitalization, (9) in-hospital mortality, (10) length of stay, (11) pain, (12) patient safety, (13) pressure injuries, (14) readmissions, (15) staffing, and (16) unit culture. RESULTS: Of 16,589 articles, 244 were included in the review. All topics were represented by literature published in 2020, ranging from 1 article to 59 articles. Numerous contemporary data science methods were represented in the literature including the use of machine learning, neural networks, and natural language processing. CONCLUSION: This review provides an overview of the data science trends that were relevant to nursing practice in 2020. Examinations of such literature are important to monitor the status of data science's influence in nursing practice.

Female adolescents' knowledge of bone health promotion behaviors and osteoporosis risk factors.

PURPOSE: The purpose of this study was to explore female adolescents' knowledge about osteoporosis risk factors and the role of dietary calcium and exercise in the prevention of osteoporosis. METHOD: A descriptive survey design was used in this research. SAMPLE: A convenience sample of 107 adolescent girls in grades 6-10 who attended a public school in southwestern Michigan participated in this study. RESULTS: Of 17 questions related to knowledge of osteoporosis risk factors, only 3 of the factors that are most well known to the public (being a woman, having low intake of dairy products, and a lack of adequate exercise) were correctly identified by a majority of the participants. Knowledge of dietary sources of calcium was primarily limited to dairy products. Participants knew that regular exercise was necessary to prevent osteoporosis, but few could identify the weight-bearing exercises most beneficial for promoting bone health. CONCLUSIONS: Overall, the knowledge of these adolescents, who are in a crucial period of their lives for accruing bone mineral, had limited knowledge of the risk factors for osteoporosis, calcium-rich foods and dietary calcium requirements, and the type of exercise needed to maximize their bone mineral density. Nurses can work with children, adolescents, their families, and other professionals in interventions to prevent osteoporosis in later years.