Context: Adequate self-management could minimize the impact of falls in older adults. The efficacy of fall prevention self-management interventions has been widely studied, yet little is known about why some older adults engage in fall prevention self-management actions and behaviors, whereas others do not. Through a systematic review of fall prevention self-management studies, this study identified characteristics and the personal, social, and environmental factors of older adults who engage in self-management actions and behaviors.
Evidence Acquisition: Medical and nursing literature related to fall prevention self-management was searched in PubMed, Embase, and CINAHL (1997-2017), and relevant publications were selected by three researchers to assess whether the papers included subject characteristics and their fall prevention self-management actions and behaviors. GRADE (Grading of Recommendations, Assessment, Development and Evaluations) was used by the researchers to assess the quality of the included studies and to determine the significance of the extracted characteristics.
Evidence Synthesis: Searching literature through 2017, a total of 972 papers were identified, and 28 papers remained after removing those that did not meet inclusion criteria. Nine papers that addressed subject characteristics in relation to the study outcomes were included in a sub-analysis. The authors identified the following characteristics of older adults who participated in fall prevention self-management actions and behaviors: younger males, not living alone and with self-reported good health, having greater fear of falling and high fall prevention self-efficacy, and possessing high motivation for engagement with self-management activities.
Conclusions: The systematic literature review revealed the personal characteristics of older adults who engage in fall prevention self-management actions and behaviors.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.amepre.2018.11.007 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!