How to identify patients with cancer at risk of falling: a review of the evidence

Clinical experience and a limited number of studies suggest that a cancer diagnosis confers a high risk of accidental falls. The negative sequelae of falls in older persons are well documented; risk factors for falls in this population have been extensively investigated and evidence for the efficacy...

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Veröffentlicht in:Journal of palliative medicine 2011-02, Vol.14 (2), p.221-230
Hauptverfasser: Stone, Carol A, Lawlor, Peter G, Kenny, Rose Anne
Format: Artikel
Sprache:eng
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Zusammenfassung:Clinical experience and a limited number of studies suggest that a cancer diagnosis confers a high risk of accidental falls. The negative sequelae of falls in older persons are well documented; risk factors for falls in this population have been extensively investigated and evidence for the efficacy of interventions to reduce falls is steadily emerging. It is not known whether the risk factors for falls and effective interventions for falls risk reduction in patients with cancer are different from those in older persons. Electronic databases MEDLINE, Embase, and CINAHL were searched for studies of risk factors for falls or effective interventions for falls risk reduction in patients with cancer. Assessment of study quality was performed. Data analysis was descriptive. Seven studies designed to identify the risk factors for falls in patients with cancer and one study to determine the predictive validity of a screening tool for falls in patients with cancer were included. All had methodological shortcomings, precluding the generation of a new synthesis from this review, but highlighting important design and statistical issues. Further research is needed to identify patients at risk and inform the design of an interventional model to reduce falls risk. Investigators should be cognizant of the limitations of using cross-sectional study design to answer this research question, should employ validated tools to measure exposure variables, use reliable methods to ascertain the occurrence of falls and appropriate statistical models to adjust for confounding variables.
ISSN:1096-6218
1557-7740
DOI:10.1089/jpm.2010.0326