Analysis of the characteristics of the degree of fall injuries among inpatients based on association rules
10.3760/cma.j.cn115682-20240929-05387
- VernacularTitle:基于关联规则的住院患者跌倒伤害程度特征分析
- Author:
Yuan LIU
1
;
Yan CAI
;
Cong WANG
;
Yan JIANG
Author Information
1. 四川大学华西医院老年医学中心/四川大学华西护理学院，成都 610041
- Publication Type:Journal Article
- Keywords:
Accidental fall;
Fall injury;
Degree of injury;
Inpatients;
Association rules
- From:
Chinese Journal of Modern Nursing
2025;31(11):1442-1448
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To mine the association rules in the data of fall injuries among inpatients and analyze the characteristics of patients with different degrees of fall injuries.Methods:This study was a clinical data mining research. Using the convenience sampling method, 228 inpatients who suffered fall injuries in West China Hospital of Sichuan University from June 2019 to May 2023 were selected as the research subjects. General information and disease information of the patients, and characteristics of fall events were collected. Taking the degree of injury as the consequent, the Apriori algorithm was used to deeply mine the data, and Fisher's exact test was combined to verify the validity of the association rules. Five nursing experts with the professional title of associate senior or above were invited to conduct a special discussion on the mined rules, and the association rules with clinical value were screened out.Results:Among the 228 patients, there were 112 females and 116 males, and 147 patients were aged≥60 years. According to the degree of injury, the patients were divided into mild injury ( n=91), moderate injury ( n=78), and severe injury ( n=59). The most common injured part was the head, face, and neck (59.65%, 136/228). According to the set parameters of the Apriori algorithm, 680 strong association rules with the degree of injury as the consequent were generated. After removing redundant rules, 331 rules were retained, and all the retained rules passed Fisher's exact test ( P<0.05). Finally, through a special discussion, 12 strong association rules with clinical value were screened out. The characteristics of severe fall injuries included being older than 75 years old, injuries to the limbs or trunk, anemia, having three or more chronic diseases, partial self-care ability, using multiple drugs and special drugs, and falling during the late night. The characteristics of moderate injuries included injuries to the head, face, and neck, being male, being younger than 60 years old, having a history of dizziness, partial self-care ability, and falling during the late night. The characteristics of mild injuries included being 75 years old or younger, having one to two chronic diseases, having family members as caregivers, using multiple drugs and special drugs, having low albumin levels, and behaviors related to using the toilet. Conclusions:The general conditions, disease characteristics, and fall characteristics of inpatients all have an impact on the degree of fall injuries, and there are differences in the risk of fall injuries under the interaction of different risk factors.
