65세 이상 노인인구의 다중약물요법 여부에 따른 낙상 고위험군 예측

• 영문명: A model for predicting fall experience in the elderly population over 65 years old: Decision tree analysis
• 발행기관: 한국노인간호학회
• 저자명: 한명희
• 간행물 정보: 『노인간호학회지』제24권 제4호, 366~376쪽, 전체 11쪽
• 주제분류: 의약학 > 의학일반
• 파일형태: PDF
• 발행일자: 2022.11.30

영문 초록

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.

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키워드

Aged Polypharmacy Accidental falls Decision trees