Innovative approaches to analysing aged care falls incident data: international classification for patient safety and correspondence analysis

Author:

Seaman Karla1,Meulenbroeks Isabelle1,Nguyen Amy1ORCID,Silva Sandun1,Wabe Nasir1,Huang Guogui1,Hibert Peter12,Paudel Pramilia1,Westbrook Johanna1ORCID

Affiliation:

1. Australian Institute of Health Innovation, Macquarie University , Level 6 75 Talavera Road, North Ryde, New South Wales 2109, Australia

2. South Australian Health & Medical Research Institute, University of South Australia , North Terrace, Adelaide, South Australia 5001, Australia

Abstract

Abstract Falls in residential aged care facilities (RACFs) are common and can have significant health consequences. Understanding how and why falls occur in RACFs is an essential step to design targeted fall prevention and intervention programmes; however, little is known about falls’ mechanisms in RACFs. This study aims to use international incident classification systems and novel analysis techniques to describe factors that contribute to falls requiring hospitalization in RACFs. Retrospective data of falls assessed by nurses as requiring hospitalization from 429 residents in 22 Australian RACFs in 2019 were used. Data were reviewed using a modified version of the International Classification for Patient Safety (ICPS), which categorizes patient safety into incident types and contributing factors using a three-tiered structure. The ICPS codes were summarized using the descriptive statistics. The association between assigned ICPS codes were analysed using correspondence analysis. Six hundred and three falls assessed as requiring hospitalization were classified into 659 incident types, with the most common incident type being ‘patient incidents’ (injury sustained/adverse effect in the health care system) (603, 91.5%) at Level 1, ‘falls’ (601, 91.2%) at Level 2, and ‘falls involving bedrooms’ (214, 32.5%) at Level 3. The 603 falls had 1082 contributing factors, with the most common contributing factor being ‘patient factors’ (events affected by factors associated with the patient) (982, 90.8%) at Level 1, ‘patient not elsewhere classified’ (characteristics of the patient contributed to the incident not classified elsewhere) (571, 52.8%) at Level 2, and ‘loss of balance’ (361, 33.4%) at Level 3. In a correspondence analysis, three dimensions were responsible for 81.2% of the variation in falls incidents and environmental and organizational factors were important factors contributing to falls. The application of the ICPS demonstrated that personal factors (e.g. pre-existing physical and psychological health or impairment) were the most common contributing factors to falls assessed as requiring hospitalization, while the correspondence analysis highlighted the role of environmental and organizational factors. The results signal the need for more research into multifactorial falls prevention interventions in RACFs.

Funder

National Health and Medical Research Council

Publisher

Oxford University Press (OUP)

Subject

Public Health, Environmental and Occupational Health,Health Policy,General Medicine

Reference28 articles.

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