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Unintentional falls at home among young and
middle-aged New Zealanders resulting in hospital admission or death: context and
characteristics
Bridget Kool, Shanthi Ameratunga, Wayne
Hazell, Alex Ng
Falls are a leading cause of unintentional injury morbidity
and mortality.1–5 In New Zealand, almost
one-third of unintentional falls resulting in hospital admission or death among
young and middle-aged adults occur at home.6
Deaths from falls at home are uncommon in this age group (in contrast to the
high case fatality rate seen in older adults) but for every death there are
approximately 150 inpatient admissions.6 These
falls result in significant health and societal
costs.6-8
The cause of falls among older adults is well recognised as
multifactorial.9 Important intrinsic risk
factors for falls among older adults include a past history of falls;
impairments in gait, balance, mobility, vision and cognition; a fear of falling;
poly-pharmacy (taking two or more prescription medications); and urinary
incontinence.9
Some intrinsic factors such as physical
activity,2,10–12 and alcohol
consumption,2,13,14 have been identified as
being associated with both increased and decreased risk of falls in older
adults. Extrinsic factors identified as playing a potential role in
falls among older adults include footwear,15
inappropriate walking aids,16 and environmental
hazards such as poor lighting and uneven or slippery
surfaces.15 It is estimated that environmental
factors contribute to a third to half of all home
falls.17,18
Despite the economic and social impact of falls among young
and middle-aged adults, the majority of published studies on the epidemiology of
injurious falls at home have focused on older adults. In order to develop
effective prevention strategies that apply to younger adult populations,
information is required on the nature and circumstances of falls in this age
group. This paper describes the characteristics of the individuals and the
contexts of unintentional falls at home among young and middle-aged adults
resulting in death or hospital admission in Auckland, New Zealand.
MethodsAs part of a population-based case-control study we
prospectively recruited individuals aged 25 to 59 years, resident in the
Auckland region of New Zealand, who were admitted to hospital within 48 hours of
injury or died following a non-occupational fall at home (theirs or
another’s) from July 2005 to June 2006.19
The region includes urban, suburban and rural areas and has a population of
approximately 1.3 million.20 We identified
eligible people through daily surveillance and case finding in the three trauma
hospitals and single coroner’s office in the study region.
The study was approved by the Northern Regional Ethics
Committee.
Subjects were interviewed face-to-face using a
structured questionnaire by trained research nurses. Proxy interviews were
obtained for subjects who were too unwell to be interviewed or for those who had
sustained fatal injuries. The questionnaire explored a range of known and
postulated risk factors for falls identified from the literature including:
lifestyle factors such as alcohol use;13,21
medication use;22,23 demographic information;
temporal factors such as day, time, and season of
fall;24,25
setting;24 and
footwear.26 Where possible, question items were
drawn or adapted from previous falls research and validated self-report
measures.
The NZiDep index was used to measure the
individual-level socio-economic deprivation of
cases.27 Inpatient medical charts were reviewed
to confirm the circumstances of injury and to gather details of blood alcohol
concentrations.
The mechanism of falls was coded using the
International Classification of Diseases (ICD) ICD-10-AM external cause of
injury codes.28 For reporting purposes the fall
related codes were further grouped as follows: falls involving stairs or steps
(W10), fall on the same level (W01-01.2, W03-09, W18-other fall on same level),
fall from building or structure (W13), fall involving ladder or scaffolding
(W11-12), and other falls (W14–tree, W17 – other fall 1 level to
another, W19 – unspecified fall).
Chi-squared tests were used to test for differences in
proportions. All analyses were undertaken using STATA version
8.29
ResultsA total of 344 patients admitted to hospital met the study
eligibility criteria representing an overall age-specific incidence rate of 54.0
per 100,000 (95% CI 48.6–60.1) for the 12-month period. Interviews were
completed for 97.4% (n=335) of the eligible people. Eight cases (2%) declined to
participate, and there was one missed case. The median age of patients was 47
years (interquartile range: 38 to 54), and 53% of cases were females (Table 1).
The ethnic distribution of cases was similar to the ethnic
distribution of this age group in the Auckland
Region.30 Almost 61% of patients had no
socioeconomic deprivation characteristics based on the NZiDep index. No regional
NZiDep figures are available however Salmond et al estimate 50.7% (95% C; 45.5
– 56.0) of New Zealand adultshave no deprivation
characteristics.27
Table 1. Characteristics of study participants
admitted to hospital following an unintentional fall at home among 25–59
years olds, New Zealand, 2005–2006 (n=344)
*NZiDep: New Zealand Deprivation Index.
The hospitalisation rates were higher among males, until
about 40 years of age when the pattern reversed and the rate became higher among
females (Figure 1).
Figure 1: Frequency and rate of unintentional
falls at home, by age band: among 25–59 years olds, New Zealand,
2005–2006 (n=344) (rate per 100,000)
![]() Females in the 55 to 59 year age group had the highest
hospitalisation rate (150.3 per 100,000; 95% CI 114.7–197.1), almost
double that of their male counterparts (83.4 per 100,000; 95% CI
57.7–120.5). There was one death during admission to hospital and no
deaths prior to admission during the study period.
There were no significant differences in the distribution of
falls by month or season but 42.0% of the admissions occurred during the
weekend. Over two-thirds of falls (69.7%, n=232) occurred during the day
(0700–2100). Only 9.9% (n=33) of people fell between 0200 and 0800. Time
of fall frequency peaked between 1400 and 1600 (n=41), and was lowest between
the hours of 0400 and 0600 (n=5). There was no statistically significant
difference between the time of fall for males and females.
Over 80% of the falls occurred in the individual’s own
home (n=272/335). The narrative descriptions provided by cases revealed that
36.4% (n=122) of the unintentional falls at home involved stairs or steps, 30.7%
(n=103) were falls on the same level, 13.1% (n=44) involved falls from ladders
or scaffolding, 11.3% (n=38) were falls out of or through buildings or
structures. The remaining 8.4% (n=28) were a miscellaneous group.
There were significant differences (p <0.001) in
the types of falls resulting in injury among males and females (Figure
2). Falls on the same level and stair-related falls were more common
among females. In contrast, males were more likely to have ladder or scaffolding
related falls or fall from buildings or structures.
Interestingly almost two-thirds of cases who fell from
ladders were stationary (i.e., neither ascending or descending) at the time of
the fall (males 65.5%, females 63.6%). Of those injured as a result of falls on
stairs, 82.4% (n=148) of females and 75% (n=116) of males were descending at the
time of injury. Only 6.7% of males and 5.7% of females reported experiencing
sensory symptoms such as light headiness, dizziness, or their legs suddenly
giving way prior to their fall.
Figure 2. Distribution of type of unintentional
falls at home, by gender among 25–59 years olds, New Zealand,
2005–2006 (n=335)
![]() There were significant differences in the mechanism of
injury by age group (p=0.02). For both the 25 to 34 and 55 to 59 year
age groups falls on the same level were the most common type of fall.
Among those aged 35 to 54 years falls involving stairs or steps were most common
(Figure 3). The majority of falls from ladders or scaffolding were among those
in the 45 to 54 year age group (45.5%, n=20/44).
Figure 3. Distribution of type of unintentional
falls at home, by age among 25–59 years olds, New Zealand,
2005–2006(n=335)
![]() The majority of falls occurred outdoors (60.6%, n=203). Of
these, 29% (n=58) occurred on stairs, 20% (n=41) in or around the garden, 20%
(n=42) took place on driveways or pathways, 14% (n=28) involved balconies, and
the remaining 16% (n=33) occurred on roofs, in garages or other places.
The 123 (31.9%) falls which occurred inside the home were
distributed in living areas (30%), stairs or steps (29%), the bedroom (11%),
kitchen (11%), and the bathroom or toilet areas (6%) while the remaining 14%
took place in hallways, laundries or other places.
A quarter (25.7%, n=86) of cases were barefooted at the time
of the fall, 19.5% (n=65) were wearing running or sports shoes, 14.7% (n=49)
casual shoes, 13.2% (n=35) slippers, 8.1% (n=27) gumboots or workboots, and 4.5%
(n=15) were in stockings or socks. There were statistically significant
differences between the footwear worn by males and females at the time of the
fall (p<0.001). Females were most likely to be barefooted (30.6%) whilst
males were more likely to be in running or sport shoes (25.6%).
In one-quarter of cases the recent use of alcohol was
suspected by medical admitting staff, however only 16% of cases had blood
alcohol levels taken. Twenty-four percent of participants reported having
consumed two or more drinks in the 6-hours preceding the fall, and a similar
proportion were on two or more prescription medications, factors known to
increase the risk of falls at home.
DiscussionThis study has described the characteristics and contexts of
a population-based sample of unintentional falls at home resulting in
hospitalisation or death. The findings highlight common settings (e.g. stairs,
ladders, scaffolding), variations in the types of falls by gender, and
prevalence of potential contributing factors identified in the published
literature. While the falls cannot be attributed to these factors at the
individual level, the distribution of these characteristics is useful for
planning targeted injury prevention initiatives.
This population-based study with near complete case
ascertainment and a very high response rate (97.4%) has provided a
representative profile of serious falls at home that resulted in hospital
admission or death. The data gathered on the setting and mechanisms of falls
provide information that cannot be ascertained using the more limited coding
categories in routine databases using the International Classification of
Diseases.31
The findings must also be interpreted in light of several
limitations. Difficulties in recalling information relating to the circumstances
of the fall may have resulted in misclassification bias. The methods used to
minimise such bias included the administration of a standardised questionnaire
by trained research nurses. Although admission to hospital does not capture the
full spectrum of injury severity and could be influenced by numerous extraneous
factors,32,33 the recruitment strategy with
study-specific surveillance in all trauma admitting hospitals in Auckland is
expected to represent those with moderate to severe injuries following falls at
home.
The use of hospital discharge data in New Zealand (cases
with a principal diagnosis, primary admission, and a day stay of 1 day or more)
for determining injury incidence has been shown to overestimate the occurrence
of some injuries by up to 3%.33 However, the
primary hospitalisation rate for unintentional falls at home among 25 to 59
years olds of 54.0 per 100,000 identified in this study is consistent with the
findings of a recent review of New Zealand routinely collected data for the
region with the same criteria (52.0 per
100,000).6 Auckland residents admitted to
hospitals outside the region were not eligible to participate in the present
study which may have underestimated the numbers of hospitalised injuries of
interest.
Blood alcohol concentrations (BAC) results were available
for only 16% of cases in this study revealing the potential to under-estimate
the importance of alcohol as a risk factor in injuries of this nature. A
meta-analysis of 331 medical examiner studies in the US found fatal fall cases
were less likely to be tested for BAC than deaths from motor vehicle injury,
burns or fires, drowning, or poisoning.34
The study has highlighted some differences between the
circumstances surrounding falls at home among young and middle-aged adults
compared to falls among older adults. The majority of falls occurred
outdoors—this is in contrast to falls among older adults which are more
likely to occur indoors.35,36
There was no seasonal variation in the distribution of falls
in this study, Campbell et al in a New Zealand study of falls among community
dwelling older adults found rates of falls increased during winter months among
women.37Almost one-third of falls occurred at
night (2100–0700) in the present study compared with 20% of falls among
older adults for the same time period in the Campbell
study.37
The hospitalisation rate in the present study was highest
among females in the 55 to 59 year age group, almost double that of their male
counterparts. This is consistent with international findings that report
significantly more fall-related injuries among older adult women than
men.38 39
This study was not designed to identify specific causes of
falls but the findings reveal several important contextual factors that can be
targeted to prevent fatal and serious non-fatal falls at home among young and
middle-aged adults.
Keall et al in a New Zealand study investigating the
association between the number of home hazards and home injury in general
estimate there is a 22% increase in the odds of injury with each additional
injury hazard found in the home.40 The authors
suggest that addressing hazards in the home may be an effective strategy for
reducing home injury.
However a recent Cochrane review found insufficient evidence
to show that such changes reduced the number of injuries in the home and
recommended larger well-designed randomised controlled trials of such
interventions.41 Given the large number of
people injured as a result of falls in the home each year, even interventions
that are of moderate success may have a significant impact at a population
level.5
Raising public awareness of the opportunities to mitigate
risks of falls at home is an important step in this process. In a recent New
Zealand survey undertaken to measure people’s perception of safety
culture, only 49% of respondents felt that “everyone is at risk of being
injured at the home”.42
The New Zealand National Falls Prevention Strategy launched
in 2005 identifies falls in the home as a priority
area.43 The strategy also acknowledges that
while falls among those aged 15 to 64 years are a considerable cost to the
government, little is known about how to prevent falls in this age group. The
findings from our study, alongside increasing attention to intervention
research, signal opportunities to address this gap.
Competing interests: None known.
Author information: Bridget Kool, Research
Fellow; Shanthi Ameratunga, Professor Epidemiology; Section of Epidemiology and
Biostatistics, School of Population Health, University of Auckland, Auckland;
Wayne Hazell, Head of Emergency Medicine Education & Research, Emergency
Care, Middlemore Hospital, Auckland; Alex Ng, Co-Director Trauma Services,
Auckland City Hospital, Auckland
Acknowledgements: This study was funded and
supported by the New Zealand Injury Prevention Strategy Secretariat, based
within the Accident Compensation Corporation (ACC), Wellington, New Zealand.
(Views and/or conclusions in this article are those of the authors and may
not reflect the position of ACC.)
Correspondence: Dr Bridget Kool, Section of
Epidemiology and Biostatistics, School of Population Health, University of
Auckland, Private Bag 92109, Auckland, New Zealand. Fax: +64 (0)9 923 3871;
email: b.kool@auckland.ac.nz
References:
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