1. Prevalence of Older Hospitalised Adults with Sustained Fractures after a Fall in Regional Australian Hospitals.
- Author
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Holden, Emma, Devin, Ruth, Bhattacharya, Joyita, Waldie, Frances, Watt, Isabel, and Wu, Chiung-Jung
- Subjects
PATIENTS ,T-test (Statistics) ,HOSPITAL admission & discharge ,HOSPITALS ,DESCRIPTIVE statistics ,AGE distribution ,HOSPITAL mortality ,RETROSPECTIVE studies ,CHI-squared test ,BONE fractures ,RESEARCH methodology ,FEMORAL neck fractures ,SKULL fractures ,ELECTRONIC health records ,DELIRIUM ,HOSPITAL care of older people ,LENGTH of stay in hospitals ,RIB fractures ,DATA analysis software ,ACCIDENTAL falls ,COMORBIDITY ,EVALUATION - Abstract
Falls commonly occur in hospitals, particularly among older adults. Fractures in the older population can cause major morbidity, which can result in long hospital admissions and increased care costs. This study aimed to characterise the demographics of patients aged 65 years and over who fell in hospital and to determine the type of fractures they sustained. A descriptive study was undertaken to examine hospital data of older inpatients who had a fall during admission in two regional Queensland hospitals in Australia over a 2.5-year period. The prevalence of inpatient falls was 1.28%. Most falls were unwitnessed (77.34%) and they had an average of seven medical comorbidities. The mean age was 80.4 years and 63% were male. Women who fell were significantly older than men (p = 0.004). The mean length of stay of in-hospital fallers was 22.77 days and same admission mortality was 9.3%. Thirty-three fall events (3.8%) resulted in fractures, some with multiple injuries. The most common fracture was neck of femur, followed by rib, femur, and facial fractures. In conclusion, this study identifies the incidence of falls increased with age, most falls were unwitnessed, as well as provides evidence that patients with falls had multiple comorbidities and long hospital admissions. The data could be used to optimise fall prevention strategies and to refine post-fall assessment pathways. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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