|
KMID : 0895920220240040366
|
|
Journal of Korean Gerontological Nursing
2022 Volume.24 No. 4 p.366 ~ p.376
|
|
|
A model for predicting fall experience in the elderly population over 65 years old: Decision tree analysis
|
|
Han Myeung-Hee
|
|
|
Abstract
|
|
|
Purpose: This study aimed to construct a model to predict whether the elderly population over 65 years of age will experience falls according to multi-drug therapy and related factors.
Methods: Decision tree analysis was used to analyze data from the 2020 national survey of the living condition and welfare needs of older Koreans.
Results: The fall experience rate was 23.7%, which was the highest in the case of diet management due to disease while taking multi-drug therapy. In contrast, those who did not receive multi-drug therapy had good subjective health rates, and those who did not have arthritis showed the lowest fall experience rate (5.5%).
Conclusion: The elderly population has a high prevalence of chronic diseases, and the number of people using multi-drug therapy is increasing accordingly. For this reason, healthcare providers should carefully prescribe medication for older adults. In addition, it is necessary to develop and apply a customized fall management program that reflects the demographic and health-related factors, which include diet, disease types, and health levels, with multi-drug therapy.
|
|
|
KEYWORD
|
|
|
Aged, Polypharmacy, Accidental falls, Decision trees
|
|
|
FullTexts / Linksout information
|
|
|
|
|
Listed journal information
|
|
|
|