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Northern Health Library: April Falls Week


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Recommended Journals

Journal of Frailty, Sarcopenia and Falls

Journal of Frailty, Sarcopenia and Falls is a peer-reviewed, open access journal that focuses upon all the related aspects of Frailty, Sarcopenia and Falls prevention and management and the new advancements in the related treatments including complex issues and research. 

Journal of Rehabilitation Medicine

Journal of Rehabilitation Medicine (JRM) is an international, non-profit, Open Access journal, publishing articles on a broad range of topics within the field.  JRM aims to be a leading worldwide forum for research in physical and rehabilitation medicine, and to increase knowledge in evidence-based clinical rehabilitation. 

Age and Ageing 

Age and Ageing is a bimonthly peer-reviewed medical journal covering all aspects of geriatric medicine and gerontology. It was established in 1972 and is published by Oxford University Press.

 

Falls are everyone's responsibility. During April Falls Week, remember that all staff can play an important role in reducing falls with our patients. Read on to discover some of the resources that the Northern Health library provides surrounds falls and their prevention. 

Latest Research in Falls

Some of the latest research in falls, available via the NH Library

  • Ngune, I., Ang, S.G.M., Nadew, G. & Saunders, R. (2023). factors associated with risk of falling among younger inpatients in a mental health setting - A systematic review. Journal of Clinical Nursing 32(21-22), 7691-7706. https://doi.org/10.1111/jocn.16854
  • Satoh, M., Miura, T., & Shimada, T. (2023). Development and evaluation of a simple predictive model for falls in acute care setting. Journal of Clinical Nursing, 32, 6474–6484. https://doi.org/10.1111/jocn.16680 
  • Tymkew, H. et al (2023). Original research: Patient perception of fall risk in the acute care setting. American Journal of Nursing, 123(6), 20-25. https://doi.org/10.1097/01.NAJ.0000937184.96893.a7 
  • Yen, H. & Kao, Y.S (2023). Can the electronic health records predict risk of falls in hospitalized patients by using artificial intelligence? A meta-analysis. Computers, Informatics, Nursing, 41(7), 531-538. https://doi.org/10.1097/CIN.0000000000000952
  • Yoder, C.LM. Kyoshi-Teo, H., Ochoa-Cosler, O. (2023) Fall prevention care management: Implementation and outcomes of a project to reduce fall risks of older adults in Assisted Living Facilities. Journal of Nursing Care Quality 38(4), 374-380. https://doi.org/10.1097/NCQ.0000000000000715