A retrospective cohort study of factors associated with severity of falls in hospital patients

ABSTRACT Severity of falls in hospital patients are threat to patient safety which can result in a financial burden on the patient’s family and health care services. Both patient specific

and environmental and organisational factors are associated with severity of falls in hospital. It is important to continuously analyse the factors associated with severity of fall which can

inform the implementation of any fall preventive strategies. This study aims to identify factors associated with the severity of falls in hospitalised adult patients in Western Australia.

This study involved a retrospective cohort analysis of inpatient falls records extracted from the hospital’s Clinical Incident Database from May 2014 to April 2019. Severity of falls were

classified as three Severity Assessment Code (SAC): SAC 1 was “high” causing serious harm or death; SAC 2 was “medium” causing moderate or minor harm; and SAC 3 was “low” indicating no harm.

Univariable and multivariable generalised ordinal logistic regression models were used to quantify the magnitude of effects of the potential risk factors on severity of falls at 5% level of

significance and reported the crude odds and adjusted odds ratio of falling at a higher severity level. There were 3705 complete reported cases of falls with the average age of the patients

was 68.5 ± 17.0 years, with 40.2% identified as female. The risk of falling at a higher level of severity increased by patient age over 50 years. Females were 15.1% more likely to fall at

higher severity level compared to females. Fall incidents occurred during toileting and showering activities and incidents in a communal area were 14.5% and 26% more likely to occur at a

higher severity respectively. Similarly, depression (167%), influence of alcohol or illicit drugs (more than 300%), use of medications (86%) and fragile skin (75%) significantly increased

the odds of falling at higher level of severity. Identification of underlying risk factors associated with fall severity provides information which can guide nurses and clinicians to design

and implement effective interventional strategies that mitigate the risk of serious fall injuries. The results suggest that fall prevention strategies should target patients with these risk

factors to avoid severity of falls. SIMILAR CONTENT BEING VIEWED BY OTHERS THE CHARACTERISTICS AND RISK FACTORS OF FATAL FALLS AMONG ADULTS AGED 60 AND ABOVE IN SOUTHWEST CHINA Article Open

access 25 March 2024 FALLS ON AN INPATIENT REHABILITATION SPINAL INJURIES UNIT: THE CHARACTERISTICS, CIRCUMSTANCES, AND CONSEQUENCES Article Open access 22 October 2022 VALIDATION OF THE

STRATIFY SCALE FOR THE PREDICTION OF FALLS AMONG HOSPITALIZED ADULTS IN A TERTIARY HOSPITAL IN COLOMBIA: A RETROSPECTIVE COHORT STUDY Article Open access 07 December 2023 INTRODUCTION

Severity of falls in hospitalised patients are a serious concern for patient care. The incidence of inpatient falls ranges from 1.7 to 16.9 per 1000 patient-days1,2,3,4. Among inpatient

falls, the incidence rates for severity of falls and fall-related injury range from 6.8 to 72.1% for mild and 0.7–30% for severe injuries5. These severe fall-related injury can include

fracture, subdural hematomas, excessive bleeding, cranial trauma, loss of independence or even death5,6,7. Hence, severity of falls are threat to patient safety and quality of life, and

responsible for prolonged hospital stay, economic burden on patient family and health care costs3,8. Patients with fall-related injury in the US were reported to have hospital charges more

than $4200 higher than patients who did not fall6,9. Considering the adverse impact, strategies to prevent fall-related injury have been the growing research focus. Yet, fall-related injury

remains steady adverse events in acute hospitals10,11,12. Research showed there were 6–26% of the total inpatient falls resulted in serious injuries in the US hospitals13,14. It is therefore

crucial to examine the nature of fall severity and identify risk factors of severity of falls to decrease serious fall-related injury in acute hospitals. In Australia, falls were reported

causing 37% of all injury deaths, and more than 34,000 hospitalisations (3.2 per 1000 hospitalisations) reported a fall over ten-year trends15. The total hospital cost of inpatient falls in 

12 acute medical and surgical wards of six Australian hospitals was $9.8 million, with $6.4 million attributed to non-injurious falls and $3.4 million to injurious falls16. Each fall was

associated with increased additional hospital stay (more than eight days) and incurred over $6669 additional hospital costs16. In WA, there were 336 fall-related deaths reported during a

12-month time in 2016 equating to 11.5 death per 100,000 population, and 26,338 fall-related hospitalisations, an age-standardised rate of 960.7 per 100,000 population in 201717. Australia

has a national standard on monitoring and reporting patient incident system to support falls prevention in hospitals18. Recognising the risk factors for severity of falls is critical prior

to the establishment of preventive interventions. Studies have reported that inpatient falls are multifaceted involving intrinsic factors and extrinsic factors3,19. Intrinsic factors include

patient age, gender, medical condition, mobility impairment, whereas extrinsic factors include organisational structures and environmental factors5,20. Ageing is a well-known risk factor

for falls and fall-related injury13,21. However, evidence suggests that severity of falls and fall-related serious injury are much more complicated and therefore, examining multilevel

factors associated with severity of falls are recommended22. Particular attention is therefore needed for the elderly patients to identify the risk factors for fall severity and develop

policy and procedures to avoid serious injuries. While there have been several studies on falls prevalence and falls risk factors, little research is published with specific focus on the

variables associated with the severity of the fall in adults. This is the first study to examine multivariable factors associated with severity of falls in adult patients in an acute

metropolitan tertiary hospital in Western Australia (WA). Identifying the complex relationship of the underlying risk factors and establishing a profile may contribute to the design of

effective prevention, improvement and implementing strategies to eliminate or reduce severity of fall and thereby serious fall injurious in the targeted population. METHODS DATA SOURCE AND

STUDY DESIGN Data was collected from one of Australia’s leading teaching hospitals in WA situated 4 km from Perth city centre, handling over 76,000 admissions annually with more than 600

beds and employs about 5500 staff treating over 420,000 adult patients each year. The hospital provides a comprehensive range of clinical services including trauma, emergency and critical

care, orthopaedics, general medicine, general surgery and cardiac care. This study involved a retrospective cohort analysis of inpatient falls recorded in the Clinical Incident Management

System (CIMS)—an electronic online system implemented by the Department of Health WA (DOHWA) to capture and manage clinical incidents occurred within the WA health system from May 2014

through April 2019. Reporting falls is mandatory through the CIMS database for monitoring and improving patient safety and evaluating the impact of interventions23. An inpatient fall was

defined as a sudden, unexpected incident in which a patient involuntarily descends from standing, sitting or other horizontal position to the ground or other surface24. Inpatient falls were

routinely registered into the CIMS by nurses and other hospital employees discovering the fall. All patients were screened and assessed for their risk of falling on admission, and after a

fall. Patient information data including demographic, admission, discharge information and clinical characteristics was also reported in the system. VARIABLES Severity of falls were

classified as three Severity Assessment Code (SAC) in the CIMS as SAC 1, SAC 2 and SAC 323. A SAC 1 was considered as “high” incident which caused serious harm or death. Patients with SAC 1

had a major surgery and increased the length of hospital stay more than seven days. A SAC 2 was “medium” which had or could have caused moderate or minor harm. Patients with SAC 2 might have

a minor fracture or require a minor treatment and increased the length of hospital stay less than 7 days. A SAC 3 was “low” indicating no harm. Patients with SAC 3 had no injuries and the

fall did not increase the length of hospital stay. Intrinsic factors included patient age, gender, behavioural factors including dementia, depression and neurological condition, as well as

mobility impairment such as poor balance, and severe foot problems. Extrinsic factors included environmental factors: activity at time of the fall, history of falls, and medication effects;

and organisation factors: place of incident, height of fall and intervention in place at the time of the fall. Age was categorised into five groups < 50, 50–64, 65–74, 75–84 and > 84 

years. Activity at time of the fall was categorised as attempting to sit, stand, bend; getting in or out of bed; toiling or showering; walking or running; and unknown. Place of incident was

reported as bathroom, bed, allied health treatment area, and communal area such as dining room, waiting room, corridor, ground and carpark. Height of fall was divided into low fall (< 0.5

 m e.g., an ultra-low bed), medium fall (0.5–1.0 m, e.g., chair or stool), high fall (> 1.0 m, e.g., a high bed) and unknown. DATA ANALYSIS In the CIMS each patient name was replaced with

a Unique-Record-Number (URN) to de-identify them. De-identified records of patients ≥ 18 years who had falls during the study period were extracted from the database. Patients with no URN

or were entered after April 2019 were excluded from analysis. Descriptive statistics were calculated for all baseline variables in terms of frequencies and percentages stratified by SAC. We

fitted univariable and multivariable generalised ordinal logistic regression models to quantify the magnitude of effects of the variables on SAC and reported the crude odds ratio (OR) and

adjusted odds ratio (AOR). In both univariable and multivariable models, the number of falls was used as an offset to correct for any bias in predicting severity of fall. Number of falls as

an offset is addressing recurrence effect or time effect, that is, patients fall history may have some form of “maturity effect’ on the outcome of severity that was measured for the most

recent fall incident. Missing data for each variable was identified and removed from the analysis. Removing missing data was safe to do so as all deleted rows belonged to SAC3 which was the

dominant group. Two-sided p-values < 0.05 of a 95% confidence interval (CI) was considered significant, and all analyses were performed in R v 4.1.125 using the ‘oglmx’ package26. ETHICS

APPROVAL This study obtained approval from WA Health for quality improvement (GEKO-33027). This study involved routinely collected only de-identified data by the hospital administrative and

was deemed negligible risk. As per the Australian National Health and Medical Research Council’s (NHMRC)27 ‘National Statement on Ethical Conduct in Research Involving Humans’ guidelines and

regulations (Section 5.1.22) outlining “institutions may choose to exempt from ethical review research that is (a) is negligible risk; and (b) involves the use of existing collections of

data or records that contain only non-identifiable data about human beings, the study was exempt from review by the hospital Human Research Ethics Committee. This study was also considered

by the Edith Cowan University Human Research Ethics Committee (2019-00653-COVENTRY) as of negligible risk and exempt from ethics review. Consequently, participant’s informed consent was not

applicable to this study. Data analysis was carried out in accordance with NHMRC guidelines27. RESULTS There were 3705 complete reported cases of falls included in this analysis, of which,

3545 patients suffered low level severity (SAC 3), 142 suffered medium level severity (SAC 2) and 18 suffered high level severity (SAC 1) of falls (Table 1). The average age of the patients

was 68.5 ± 17.0 years, with 40.2% identified female. The likelihood ratio and chi-square tests revealed that gender, activity at time of the fall and height of fall were associated with the

severity of the fall. ASSOCIATION BETWEEN DEMOGRAPHIC AND ENVIRONMENTAL CHARACTERISTICS AND THE SEVERITY OF FALL In Table 2, examining the association of age and severity of fall, using age

bracket (< 50 years) as the reference group, the results from the multivariable model indicated that individuals in the age brackets 65–74 years were 19.5% more likely to fall at a higher

severity level (_AOR = 1.195, 95% CI 1.044–1.367, p_ = _0.010_), 75–83 years were 29.3% more likely to fall at a higher severity level (_AOR_ = _1.293, 95% CI 1.133, 1.477, p_ < _0.001_)

and > 84 years were 39.1% more likely to fall at a higher severity level (_AOR_ = _1.391, 95% CI 1.210–1.599, p_ < _0.001_). Females were 15.1% more likely to fall at higher severity

level compared to males (_AOR_ = _1.151, 95% CI 1.063, 1.247, p_ < _0.001_). With respect to activity at time of the fall, incidents during toileting and showering activities were 14.5%

more likely to fall in higher level of severity (_AOR_ = _1.145, 95% CI 1.022, 1.284, p_ = _0.020_) compared with attempting to sit or stand. Using bathroom as the reference point, fall

incident in a communal area was approximately 25.7% more likely to fall in higher level of severity (_AOR_ = _1.257, 95% CI 1.003, 1.576, p_ = _0.047_). In the univariable analysis using low

fall height (< 0.5 m) as the reference group, fall incidents with unknown height were 18.1% more likely to be associated with a higher level of severity (_AOR_ = _1.181, 95% CI 1.015,

1.374, p_ = _0.031_). However, none of the height of falls were found significant in the multivariable model. ASSOCIATION BETWEEN PATIENT’S MEDICAL AND HEALTH RISK FACTORS AND THE LEVEL OF

SEVERITY OF FALL The association between severity of falls and patients’ pre-diagnosed medical and health risk factors were examined in Table 3. Patients with risk condition present were set

as reference group in the model. Under behavioural risk factors, marked depression was positively associated with severity of fall incidents. Patients with depression had over 167% increase

in the odds of falling at higher severity level compared to those without depression _(AOR_ = _0.374, 95% CI 0.184, 0.760, p_ = _0.007)_. Patients under the influence of alcohol or illicit

drugs had the similar trend of falling at higher level of severity. Empirically, patients under the influence of alcohol or illicit drugs had a significantly higher (more than 300% increase)

odds of falling at a higher level of severity compared to those who have no alcohol or illicit drugs in their system _(AOR_ = _0.234, 95% CI 0.116, 0.472, p_ ≤ _0.001)_. In relation to

mobility, patients who did not required standby assistance were 47.3% _(AOR = 1.473, 95% CI 1.014, 2.138, p = 0.042)_ more likely to experience higher severity fall compared to those who

required assistance. In practice patients who have poor or unsteady balance will seek for assistance. Effectively, we found that patients with poor or unsteady balance were 38.3% less likely

to fall at a higher level of severity (_AOR_ = _1.622, 95% CI 1.114, 2.361, p_ = _0.012_) compared to patients who did not have the condition. In relation to medication issues, there was an

86% increase in the odds in patients who were on medication to fall at high severity compared to patients who are not on medications (_AOR_ = _0.537, 95% CI 0.322, 0.893, p_ = _0.017_). For

instance, polypharmacy, (although not found to be statistically significant) contributed to higher odds (35% increase in likelihood) (_AOR_ = _0.743, 95% CI 0.462, 1.196, p_ = _0.221_) of

falling at a high severity level. There was approximately 75% increase in the odds of patients with fragile skin condition to fall at a higher severity level compared to patients without the

condition (_AOR_ = _0.572, 95% CI 0.376, 0.869, p_ = _0.001_). DISCUSSION This study examined the factors that are associated with the severity of patient falls, using five years of data

extracted from a clinical incident database in an acute hospital setting. Therefore, it was practical to examine the associated factors which may provide an opportunity to improve policy and

procedure and develop intervention by identifying the severity of falls which can cause serious injuries and harm. In this study, the risk of falling with a higher level of injury-severity

increased by approximately 20% for patients aged 65–74 years, 29% for patients aged 75–83 years and 39% for patients aged over 84 when compared to patients who were aged 50 years or younger.

The results of increasing rate of falling with higher severity with increasing age is consistent with other studies which indicated that older the patient, the higher the odds of a

fall6,28,29. Elderly patients might also be vulnerable to high level of fall injuries due to co-existing health problems compared with their younger counterparts. In this study, gender was a

significant risk factor, where females were 15.1% more likely to fall in higher severity condition. While gender-specific risk factor is not common in inpatient-falls research, the

proportion of injurious falls reported to be much higher among females than males in aging population in community dwelling-houses30,31. Fall from a height was 1.2 times more common in

elderly adult female patients leading to traumatic brain injuries requiring hospital admission32. Factors such as stroke, age of 85 years or older, nutritional risk, consumption of alcohol,

use polypharmacy, arthritis, diabetes and osteoporosis were found to be independently correlated with female fallers33. The cause for gender differences in fall-related injury is unclear.

Gender differences in biomechanical differences in the gait pattern34 could be a critical factor which was reported associated with knee osteoarthritis in elderly females35. Another possible

reason could be related to footwear which can have detrimental effects on gait pattern, postural balance and other part of musculoskeletal system which cause females for falls and

fall-injuries than males36,37. Females have a longer life expectancy than males and so are more likely to have an increased need for nursing or residential home care38,39. This also could

explain the higher falls among females in aged care residents. In our study, it was observed that falls occurring from toileting and showering activities were 14.5% more likely to result in

a higher level of fall severity compared to attempting to sit, stand or reaching over. Patient falls specifically related to bathroom activities is of particular concern. Bathroom activities

have resulted in 38–47% of falls in US hospitals40. Many of the falls with injuries were directly related to toileting or showering41. In another study, fall injuries were 2.48 times

greater if a fall occurred in bathroom4. Fall incident in communal areas was approximately 26% more likely to fall in higher level of severity. Falls were found more likely than expected to

be occurred in communal areas in a previous study42. These communal areas are more likely to be unattended and un-witnessed by nurses, and/or lack in risk assessment and falls prevention

interventions in place. Kobayashi et al.43 reported that falls occurred in waiting room due to the arrangement of chairs, and slippery mats at entrances, and in parking places due to its

distance from hospital wards and stairs. Falls were also occurred in the passage and dining room where no call bell was available44. Under behavioural factors, depression and alcohol or

illicit drug were major risk factors for fall incidents and significantly contributed to the level of severity. Similar to our study, patients with depression were reported to have increased

odds for in-hospital fall related major injuries45. Depression and the use of antidepressant drug was found to increase falls risk46,47. Illicit drug use was reported to be associated with

increased odds of injurious falls in patients living with HIV48. However, the association between history of consumption of alcohol and falling was not evident in community-dwelling older

adults49,50,51. The relationship of alcohol consumption and falls in community and hospital settings deserves future investigations. Mobility impairment due to poor and unsteady balance and

patients who required standby assistance revealed to be significant risk factors for the severity of falls. The results were consistent with other studies which showed mobility impairment

and activities with daily living dependency as higher risk of falls28,29. The results suggest that patients with poor and unsteady balance need standby assistance for constant monitoring and

guiding their movement to avoid serious injurious falls. Patients with medication issues were more likely to fall at higher severity. Evidently, patients with concurrent use of five or more

medicines in this study had an increased odds of falling at high severity. Polypharmacy was reported to be significantly associated with an increased risk of falls and fractures in

elderly52,53,54. The significant association of polypharmacy for severity of falls was further evident in nursing home residents55,56 and community settings49. Patients’ routine medication

reviews need to be considered to mitigate the severity of fall and fall-related injury during their hospital stay. The significant association between fragile skin and higher fall severity

in this study is unclear. One explanation is that fragile skin or thin skin is a common problem due to aging which leads to serious implications for health and wellbeing of the elderly

including skin tear57,58. Fragile skin thus increased the risk of injuries once a fall occurred in the hospital. The aged population thus needs to be closely monitored to avoid high fall

severity and serious fall injury. The association between fragility of the skin and fall severity is new findings and requires further investigation. LIMITATIONS As the clinical incident

reports are completed by a large number of nurses with various level of experience and different backgrounds, some classification of patient information can be prone to a variation in

clinical judgement. As the study was conducted in one teaching hospital, generalisability of the finding is limited to similar acute care hospital settings. However, one can anticipate that

severity of falls and associated risk factors would be similar at other major metropolitan teaching hospitals. Future studies should also consider matching faller and non-faller groups on

selected demographic variables to compare similarities and differences on the risk factors found to be significant. Future studies may consider examining disease-specific risk factors for

severity of falls. IMPLICATION FOR CLINICAL PRACTICES Preventing patient falls is an important endeavour and continues to be of interest to nurse leaders, clinicians, and researchers. Health

care facilities have introduced robust falls prevention strategies such as screening patients to establish their level of risk and fall prevention care plans to reduce the number of patient

falls; however, patients continue to fall. It may be that preventing falls is a difficult task unless there is the capacity for twenty-four-hour supervision, which is unrealistic.

Consequently, the focus should be on how nurses and clinicians reduce severity of falls in hospitals. The results have highlighted significant risk factors that must be considered carefully

in fall management of populations like cohort in our study. Additionally, the adjusted odds reported for all the risk conditions will inform practice, even for the non-significant risk

conditions, as clinical significance and statistical significance may vary sometimes. The findings may guide nurse leaders and clinicians to develop successful hospital-based interventions

and strategies to prevent severity of falls and fall-related serious injury in acute hospitals. The findings of this study further add to the fall literature identifying the major factors

associated with increased severity of falls. It may be useful to provide both patients and the general community with written and media information of these issues so they can independently

be more vigilant about their own risk factors and how to be more proactive about falls prevention. This may be a more efficient strategy worthy of further exploration. CONCLUSION This study

provides information on factors associated with the severity of falls over a 5-year period in an acute care hospital. The results showed multivariable factors of increased age, being female,

toileting and showering were all associated with increased severity of a fall. Additionally, depression under the influence of alcohol or drugs, poor balance and requiring standby

assistance were also associated with increased severity of falls. The findings suggest that assessments of severity of fall risk should weigh these variables which are associated with the

severity of fall identified in this study. Interventions are recommended to be developed or implemented based on these variables. Given the differences in the severity of falls by age and

gender, hospital executive must consider that a one size fits all approach is not effective when developing and implementing severity of falls-prevention strategies at both intrinsic and

extrinsic level. Identification of underlying risk factors associated with the severity of falls may provide information that can inform the implementation of fall prevention strategies that

mitigate the risk of injurious falls. DATA AVAILABILITY WA Health and Edith Cowan University Human Research Ethics Committee does not permit the authors to make data publicly available.

ABBREVIATIONS * AOR: Adjusted Odds Ratio * CI: Confidence Interval * CIM: Clinical Incident Management * DOHWA: Department of Health Western Australia * ECU: Edith Cowan University *

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(2020). Article  PubMed  PubMed Central  Google Scholar  Download references ACKNOWLEDGEMENTS The authors acknowledge the staff from School of Nursing and Midwifery, Edith Cowan University,

and Centre for Nursing Research, Sir Charles Gairdner Osborne Park Health Care Group for their support and assistance with data extraction and data cleaning. AUTHOR INFORMATION AUTHORS AND

AFFILIATIONS * School of Nursing and Midwifery, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, 6027, Australia Manonita Ghosh, Beverly O’Connell & Linda Coventry * Centre

for Nursing Research, Sir Charles Gairdner Osborne Park Health Care Group, North Metropolitan Health Service, Level 1, Harry Perkin’s Building, Sir Charles Gairdner Hospital, 6 Verdun

Street, Nedlands, WA, 6009, Australia Manonita Ghosh, Beverly O’Connell & Linda Coventry * Centre for Research in Aged Care, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA,

6027, Australia Beverly O’Connell & Linda Coventry * School of Science, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, 6027, Australia Ebenezer Afrifa-Yamoah * CNC Clinical

Lead Falls Management and Chair Falls MD Committee, Sir Charles Gairdner Hospital, Perth, WA, 6009, Australia Sue Kitchen Authors * Manonita Ghosh View author publications You can also

search for this author inPubMed Google Scholar * Beverly O’Connell View author publications You can also search for this author inPubMed Google Scholar * Ebenezer Afrifa-Yamoah View author

publications You can also search for this author inPubMed Google Scholar * Sue Kitchen View author publications You can also search for this author inPubMed Google Scholar * Linda Coventry

View author publications You can also search for this author inPubMed Google Scholar CONTRIBUTIONS All authors made substantial contributions to conception and design of the study, data

analysis, interpretation of data and drafting the manuscript. All authors critically revised the manuscript for important intellectual content and approved the final version to be published.

CORRESPONDING AUTHOR Correspondence to Manonita Ghosh. ETHICS DECLARATIONS COMPETING INTERESTS The authors declare no competing interests. ADDITIONAL INFORMATION PUBLISHER'S NOTE

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retrospective cohort study of factors associated with severity of falls in hospital patients. _Sci Rep_ 12, 12266 (2022). https://doi.org/10.1038/s41598-022-16403-z Download citation *

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