Trends in fall-related ambulance use and hospitalisation among older adults in NSW, 2006–2013: a retrospective, population-based study

Serene S Paul, Lara Harvey, Therese Carroll, Qiang Li, Soufiane Boufous, Annabel Priddis, Anne Tiedemann, Lindy Clemson, Stephen R Lord, Sandy Muecke, Jacqueline CT Close, Serigne Lo, Catherine Sherrington

Published 11 October 2017.
Citation: Paul SS, Harvey L, Carroll T, Li Q, Boufous S, Priddis A, et al. Trends in fall-related ambulance use and hospitalisation among older adults in NSW, 2006–2013: a retrospective population-based study. Public Health Res Pract. 2017;27(4):e27341701.

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About the author/s

Serene S Paul | Musculoskeletal Health Sydney, School of Public Health, Sydney Medical School, University of Sydney, NSW, Australia; Faculty of Health Sciences, University of Sydney, NSW, Australia

Lara Harvey | Neuroscience Research Australia, UNSW Sydney

Therese Carroll | Centre for Population Health, NSW Ministry of Health, Sydney, Australia

Qiang Li | The George Institute for Global Health, Sydney, NSW, Australia

Soufiane Boufous | Transport and Road Safety Research, UNSW Sydney, Australia

Annabel Priddis | Centre for Population Health, NSW Ministry of Health, Sydney, Australia

Anne Tiedemann | Musculoskeletal Health Sydney, School of Public Health, Sydney Medical School, University of Sydney, NSW, Australia

Lindy Clemson | Faculty of Health Sciences, University of Sydney, NSW, Australia

Stephen R Lord | Neuroscience Research Australia, UNSW Sydney

Sandy Muecke | NSW Ambulance, Sydney, Australia

Jacqueline CT Close | Neuroscience Research Australia, UNSW Sydney; Prince of Wales Clinical School, UNSW Sydney, Australia

Serigne Lo | Melanoma Institute Australia, Sydney, NSW

Catherine Sherrington | Musculoskeletal Health Sydney, School of Public Health, Sydney Medical School, University of Sydney, NSW, Australia

Corresponding author

Serene S Paul |

Competing interests

None declared

Author contributions

SP was responsible for the study design, analysis of data, and drafting and editing of the manuscript. LH was responsible for drafting and editing, and contributing to data analysis. TC was responsible for acquiring the data, and reviewing and editing. QL was responsible for overseeing the data analysis, and reviewing and editing. SB was responsible for reviewing and editing, and contributing to the study design and data analysis. AP was responsible for acquiring the data, reviewing and editing, and contributing to the study design. AT, LC, SRL and JC were responsible for the study design, and reviewing and editing. SM was responsible for acquiring the data, and reviewing and editing. SL was responsible for the study design, reviewing and editing, and contributing to data analysis. CS was responsible for the study design, and drafting, reviewing and editing the manuscript.


Objective and importance of study: To describe characteristics and temporal trends of fall-related ambulance service use and hospital admission in older adults in New South Wales (NSW), Australia. Such information will facilitate a more targeted approach to planning and delivery of health services to prevent falls and their adverse sequelae in different groups of older adults.

Study type: Retrospective population-based descriptive study.

Methods: Fall-related ambulance use and hospital admissions for all falls and injurious falls in NSW residents aged ≥65 years between 2006 and 2013 were obtained from two discrete sources of routinely collected data. Rates of use are presented descriptively.

Results: There were 314 041 occasions of fall-related ambulance use by older adults and 331 311 fall-related hospitalisations, of which 69% (n = 227 753) were for injurious falls. Fractures accounted for 57% of injurious hospitalisations. Slips and trips were the most common mechanism of falls requiring hospitalisation (52%). Residents of aged care facilities had a greater proportion of fall injury hospitalisations compared with people living in the community (85% and 65%, respectively).

Conclusions: Rates of fall-related ambulance use and hospitalisation were similar and continued to increase over time. Increased effort is needed to prevent falls and associated injury among older people in NSW, particularly among people living in aged care facilities. Ongoing monitoring of rates and the characteristics of people who fall are needed to determine the long-term impact of fall prevention interventions.

Full text

Key points

  • Fall-related ambulance service use has increased over time
  • Fall prevention interventions should include safety and avoidance strategies
  • Fall management strategies should continue to be targeted at those aged older than 85 in an effort to reduce their fall-related health service use
  • There is a need for specific fall injury prevention strategies in aged care facilities


Each year, one-third of people aged ≥65 years fall, particularly older females.1 Fall prevention strategies aim to address this problem, but have yet to affect the continued increase in fall-related health service use among older adults.2

Older people who have had a fall comprise a substantial proportion of users of paramedic and hospital services. Falls in older adults constitute 5% of emergency ambulance responses in Australia3, and 66–76% of older people who have had a fall require transport to hospital.3 Of all falls in older adults, 10–15% result in fracture4,5, a further 15–20% result in other serious injuries requiring medical attention4,6 and approximately 5% result in injury warranting hospital admission.6 Despite the small proportion of falls resulting in hospitalisation, the costs associated with these admissions account for more than 80% of the cost of treatment for fall-related injuries.6 Because the proportion of older adults in the population is increasing, it is unsurprising that fall-related hospitalisations are increasing in New South Wales (NSW), Australia.7

The studies cited above provide a clear understanding that falls in older adults remain problematic, and that people who fall use substantial healthcare resources.8 However, there has not previously been a systematic investigation about patterns of fall-related ambulance use over time, and few studies of fall-related hospitalisations have identified the characteristics of individuals with multiple admissions. Understanding recent patterns of serious falls that require health service use (such as multiple admissions to hospital or paramedic attendance) in older adults at a population level, along with these individuals’ characteristics, will facilitate a more targeted approach to planning and delivery of health services to prevent falls and their adverse sequelae in different groups of older adults.

For the NSW population aged ≥65 years, this study aims to: 1) describe fall-related ambulance service use, and fall-related and fall injury–related hospital admission; 2) explore patterns of service use by age, sex and injury type; and 3) describe rates of service use over time, by age groups and sex.


Two data sources, NSW Ambulance data and the NSW Admitted Patient Data Collection (APDC), were used to identify people aged 65 years and older who: 1) requested an ambulance for a fall-related incident; or 2) were admitted to a hospital in NSW between 1 January 2006 and 31 December 2013. Interstate residents were excluded from both datasets.

Ethics approval for this study was granted by the NSW Population and Health Services Research Ethics Committee. This study conforms to STROBE guidelines.

Ambulance records

Ambulance use data were obtained from routinely collected NSW Ambulance Computer Aided Dispatch (CAD), Patient Health Care Record (PHCR) and electronic Medical Record (eMR) databases. NSW Ambulance is the sole provider of emergency out-of-hospital care in NSW. CAD data gathered during the emergency call includes information about the problem and the patient’s location. PHCR and eMR datasets contain patient-related clinical information recorded by attending paramedics. Use of eMR was introduced in a staged approach from 2011. Both systems remain in use, because not all paramedics have access to the eMR system at all times. NSW Ambulance routinely links CAD and clinical records for each patient.

Following a patient assessment, not all patients are transported to an emergency department (ED) by paramedics. Referral pathways have been established since 2011 so that, at the time of the patient encounter, paramedics can recommend subsequent review by community-based healthcare providers. Additionally, since 2008, NSW Ambulance has implemented an extended care paramedic role, where experienced paramedics receive additional education to treat patients with low-acuity conditions at the scene.

In the NSW Ambulance data collections, eligible records were those where a ‘falls’ problem was recorded in the CAD database for patients aged ≥65 years, as documented in their clinical record. The master incident number was used to deduplicate records so that a single ambulance dispatch was used in analyses. Transport disposition was used to exclude ineligible records (‘operational standby’, ‘PHCR incident cancel en route’, ‘PHCR not required’, ‘unable to locate patient’, ‘assist/treat/load’), and to identify records transported (‘transported’) or not transported (all other dispositions including ‘deceased on examination’) to hospital.

For CAD ‘falls’ records, information about associated injuries was obtained from the corresponding clinical record completed by paramedics. NSW Ambulance paramedics classify and document care using clinical protocols (trauma, cardiac/cardiovascular, drug/toxicology, environment/envenomation, medical/surgical, and specialty care such as obstetrics or mental health). Patients with ‘limb injuries and fractures’ and ‘limb realignment and difficult extraction’ were grouped as limb fractures; ‘soft tissue injuries to the face and neck’, ‘epistaxis’ and ‘wound care’ were grouped as soft tissue injury; ‘head injury’, ‘spinal injuries’, ‘chest injuries’, ‘penetrating trauma’, ‘pelvic injuries’ and ‘pre-hospital management of serious trauma or deteriorating trauma patient’ were grouped as serious injury; with the remaining injuries grouped as other injuries. Protocols describing medical conditions were grouped as non-injuries; and protocols without specific clinical diagnoses were grouped as unspecified. Because an individual may have requested more than one ambulance over the study period, ambulance use results are presented as ‘records’ rather than ‘patients’.


The APDC records all public and private hospitalisations that occur in NSW. These episodes of care end with discharge, transfer to another facility, death, or when the service category changes (e.g. a change from acute to subacute care within the same facility), so an individual may have multiple episodes of care recorded in the APDC for a single hospital admission. Using probabilistic matching of individuals’ names, date of birth and address with ChoiceMaker software, the NSW Centre for Health Record Linkage internally linked the APDC to itself to identify all episodes of care that constituted the overall hospital stay for each patient and to determine the number of individual patients admitted to hospital.

Data about patient diagnoses were coded using the International Classification of Diseases and Related Health Problems, 10th revision, Australian Modification (ICD-10-AM).9 Fall-related hospitalisations were determined using external cause codes W00-W19. Injurious falls were subsequently identified using primary diagnosis codes S00-T75 and T79, and described in categories similar to those described in the NSW Ambulance data, except that upper limb, lower limb and hip fractures are singularly described in NSW Ambulance data as ‘limb fractures’. Records with a place of occurrence ‘Y92.14’ or source of referral ‘6 – Nursing Homes’ were used to estimate the number of residents of aged care facilities who were hospitalised because of a fall. To avoid overestimating the number of hospital admissions per fall, we excluded episodes of care coded as statistical transfers (i.e. changes in the service category or transfers between different units within the same hospital); and transfers and/or discharges to a different hospital, residential aged care facility or ED, or to ambulatory care.

Statistical analyses

The characteristics of older people who used ambulance services or were admitted to hospital because of a fall (including residents of aged care facilities) and the circumstances of the fall-related incident (including fall-related injuries) were summarised using descriptive statistics. Geographical remoteness was estimated for each location (Statistical Local Area 2011 [SLA-2011]) using rounded scores of the 2011 Accessibility/Remoteness Index of Australia10; low scores indicate low remoteness. Socio-economic status was obtained by mapping the Australian Bureau of Statistics (ABS) 2011 socio-economic indices of relative socio-economic advantage and disadvantage (cat. no. 2033.0.55) to SLA-201111; low scores indicate a low proportion of advantage and a high proportion of disadvantage. Rates (per 100 000 people) of fall-related ambulance use and hospitalisations for all falls and injurious falls were calculated as: 1) directly age standardised to the estimated resident Australian population at 30 June 200111; and 2) crude rates based on the NSW population aged ≥65 years, using annual estimates from the ABS for each year of the study.11 SAS Enterprise Guide v5.1 (SAS Institute Inc, Cary NC) was used for analysis.


In NSW from 2006 to 2013, there were 314 041 records of fall-related ambulance use by older adults and 331 311 fall-related hospitalisations (supplementary Table S1, of which 69% (227 753 admissions) were for injurious falls. These admissions comprised 200 016 individuals, and 84% of these individuals (166 978) were admitted to hospital for injury associated with the fall (Table S2

People who used ambulance services and were admitted to hospital for falls were similar in terms of age, sex, socio-economic status and remoteness index (Table S1 Fall-related health service use was highest among females and lowest among adults aged 65–74 years.

Of all falls attended by paramedics, 74% were transported to hospital (Table S3a and 46% were associated with an injury. The largest proportion of associated injuries was limb fractures (30%). Serious trauma accounted for 15% of injuries. Most people with injury were transported to hospital (85–94%), particularly for fractures or serious injury (93–94%). Injuries appeared to be evenly spread across all ages. The reason for falling was not specified in 35% of ambulance records.

Females of all ages had higher rates of hospitalisation for injurious falls (Figure S1c, particularly for upper and lower limb fractures, including hip fractures (Table S3b Non-injurious falls involving medical issues (e.g. nausea, urinary tract infection or a neurological condition) accounted for 31% of fall-related hospitalisations. Overall, adults aged 65–74 years had fewer fall-injury admissions, but more admissions for upper and lower limb fractures excluding hip fractures. People aged ≥85 years had more admissions for hip fractures, soft tissue and nonspecified injuries.

Most adults had a single fall-related hospitalisation (69%), 20% were admitted twice and 1% had frequent (≥10) fall-related hospitalisations (Table S2 A greater proportion of females, across all age groups, had multiple fall-related hospital admissions (Table S4 Fewer adults aged 65–74 years, and more people aged ≥85 years during their first fall separation, had multiple fall-related admissions. At the first fall separation, there were no obvious differences in injuries sustained or residential aged care status between people with single or multiple admissions. Most fall admissions by residents of aged care facilities were in females and in people aged ≥85 years (Table S5 Residents of aged care facilities had more injurious falls admissions (86% compared with 65% in people living in the community), particularly fractures (46% versus 38%, respectively).

The cause of the fall was not specified in 29% of fall-related hospitalisations overall, and was not specified by 43% of people aged ≥85 years (Table S6 Where the cause of the fall could be identified, most occurred because of slips and trips (52%). Falling off ladders and buildings (2% of falls) occurred mostly in males (67–78%), particularly in those aged 65–74 years.

Age-standardised rates of fall-related health service use in 2013 per 100 000 people were 3814 for ambulance, 4167 for hospitalisation and 2791 for injurious hospitalisations. These rates increased over time (Table 1). Crude rates of fall-related health service use were greater in females and with increasing age (Table 1; Figures S1a–c


Table 1.      Age-standardised and crude rates (per 100 000 people) of fall-related ambulance use, fall-related and fall injury–related hospital separations in NSW, by sex and age groups, 2006–2013

Category Year Age-standardised rate (all) Crude rate
All Females Males 65–74 years 75–84 years 85+ years
NSW Ambulance dispatches 2006 3 220 3 359 3 759 2 837 1 260 4 114 10 114
2007 3 452 3 627 4 091 3 041 1 336 4 397 10 961
2008 3 610 3 804 4 265 3 228 1 423 4 581 11 394
2009 3 740 3 946 4 417 3 366 1 458 4 674 12 120
2010 3 768 3 987 4 507 3 357 1 422 4 706 12 444
2011 3 964 4 198 4 717 3 574 1 533 4 841 13 264
2012 3 895 4 102 4 647 3 457 1 483 4 806 12 994
2013 3 814 4 009 4 556 3 370 1 461 4 667 12 803
Fall-related hospital admissions 2006 3 498 3 654 4 496 2 612 1 358 4 341 11 454
2007 3 553 3 739 4 572 2 716 1 396 4 363 11 702
2008 3 567 3 760 4 648 2 677 1 435 4 453 11 345
2009 3 799 4 010 4 870 2 973 1 507 4 677 12 399
2010 4 044 4 273 5 160 3 214 1 635 4 958 13 111
2011 4 260 4 499 5 499 3 316 1 766 5 175 13 752
2012 4 180 4 396 5 305 3 329 1 708 5 072 13 633
2013 4 167 4 371 5 149 3 466 1 744 5 015 13 515
Fall injury–related hospital admissions 2006 2 544 2 660 3 360 1 794 982 3 062 8 660
2007 2 542 2 681 3 374 1 830 981 3 031 8 751
2008 2 561 2 709 3 455 1 800 1 005 3 081 8 638
2009 2 608 2 761 3 506 1 863 1 035 3 102 8 860
2010 2 723 2 888 3 634 1 997 1 070 3 268 9 214
2011 2 776 2 948 3 691 2 070 1 094 3 282 9 533
2012 2 782 2 939 3 692 2 057 1 098 3 292 9 532
2013 2 791 2 941 3 634 2 135 1 115 3 302 9 498



Fall-related health service use (i.e. ambulance use and hospitalisations) among older adults in NSW increased between 2006 and 2013. These rates were higher than reports from earlier years8 but similar to figures from recent years.7 Fall-related health service use was highest among females and people aged ≥85 years.1,3,7,8 The latter likely reflects the increasing frailty and accumulation of fall risk factors with increasing age that contribute to increased fall incidence12, and highlights the importance of targeting fall prevention interventions in this group.

Rates of fall-related ambulance use were slightly lower than fall-related hospital admissions. The sex-related difference in rates of fall-related ambulance use was also smaller than for hospital admissions, and lower than previous reports of ambulance use by older females who had a fall.3 Most (74%) fall events in older adults attended by paramedics resulted in the person being transported to hospital13,14, although transportation rates were higher in instances where a fall led to an injury (85–94%). It may be that some people who sustained minor or no fall-related injury required ‘lift only’ assistance15 or were managed in the community.16 As paramedic-initiated community-based referral pathways expand in NSW, it is anticipated that transportation rates to EDs will decline, particularly for non-injurious falls. It was not possible to accurately ascertain the reasons for nontransportation to an ED in our data. Some of those initially not transported to hospital may have refused transport at that time.16 Those not initially transported may have later presented to an ED by alternative modes of transport (such as private car) or requested a subsequent paramedic attendance.16 Not all patients with fractures or serious injury were transported to hospital (6–7%, including those who died at the scene of the fall).

For most fall circumstances, females and the older age groups accounted for the largest proportions within each category (e.g. falls due to trips and slips, or falls in the toilet/shower). The notable difference was in injuries from falling off ladders or scaffolding, or from diving, which were more prevalent in males aged 65–74 years.17 It appears that men continue to take risks as they age: ‘younger old’ males account for the majority of trauma and hospital admissions following falls from ladders.17 Fall prevention and health promotion interventions need to account for increased risk taking by older men to promote both safe use and avoidance messages.

Two-thirds of fall-related hospitalisations were for fall-related injuries3,7, although less than 50% of falls in the ambulance data were recorded as injurious. Injuries documented in ambulance clinical records are provisional, paramedic-determined diagnoses. The exact nature of injuries and determination of injury severity require confirmation by radiologic imaging or other assessments in hospital. Residents of aged care facilities also had a high proportion of injurious fall hospitalisations, although, unlike other studies, we did not find that males in residential aged care facilities had a higher incidence of falls and fall injuries.18,19 However, we were unable to accurately determine the number of aged care facility residents in our dataset because ED and Australian Government residential aged care data were not included.20 Females had higher instances of fracture than males8, particularly upper limb fractures (81% and 74%, respectively, for all fractures).21 People with multiple hospital separations had a higher proportion of non-injurious falls, although this was not apparent during their first admission. This may be because of the higher fall risk for some groups, such as those with neurological conditions.22 Future research is warranted to determine which older people who have had a fall have a high likelihood of readmission, the conditions associated with multiple admissions and the average time between readmissions. Demonstrated age and sex differences in the types of injuries and circumstances of falls suggest that it may be beneficial to classify people who have had a fall according to specific risk profiles. This may assist in the targeted delivery of content-specific fall prevention and health promotion interventions5,23, and limit future hospitalisations.

This study has several limitations and strengths. The methodology did not permit patients’ entire healthcare journeys to be examined because APDC data were not linked to NSW Ambulance records or ED data. Linkage would be beneficial in understanding the proportion of falls admissions that arrived by ambulance; the proportion of people who were not initially transported to an ED by ambulance but were subsequently admitted, or who arrived by any mode of transport but were discharged from the ED; and the characteristics of older people who have had a fall who use ambulance and ED services multiple times a year. Linkage with death records would also provide more comprehensive information. Nevertheless, it is likely that both datasets represented a similar population of older adults in NSW.

Coding differences between NSW Ambulance and the APDC made it difficult to compare the patterns of injury sustained by older people who had a fall. A small underestimation of fall-related health service use in NSW may have occurred because older adults living near state borders may have been attended by other ambulance services or been hospitalised interstate; there was a lack of ED data; and only 72% of actual falls records are captured by the CAD system.13,14 Using the CAD database to identify a population of interest is problematic because information collected at the time of the emergency call may not accurately reflect the true nature of the patient’s problems. The caller may be a third party and, at times of anxiety, information provided to call-takers may be imprecise. Routinely collected information is not primarily collected for research purposes, as noted in missing data across various outcomes and lack of detail in coding of some variables (e.g. a large proportion of unspecified fall circumstances in hospitalised patients). Greater variability in APDC coding of external cause codes to identify falls compared with greater accuracy of coding of primary diagnosis codes to identify injury24 may have magnified the differences in rates between admissions for all falls compared with injurious falls.

Key strengths of this paper are the reported patterns of fall-related ambulance use over time and identification of individual patients within the APDC dataset, which enable quantification of older people who have had a fall and who had multiple hospital admissions. Our results suggest that public health policy needs to target separate fall prevention messages and programs for males and females. The finding that most falls in older adults occur because of slips and trips supports the importance of community-based health services delivering fall prevention programs. Delivering appropriate fall prevention programs to special populations (such as people with neurological conditions) may help reduce hospital readmissions for falls.22 There is also a need for programs and strategies to prevent fall injury, particularly for residents of aged care facilities.


Rates of fall-related health service use continued to increase, despite the various health promotion and fall prevention strategies that were implemented in NSW during the study period.2,25 Increased efforts and innovative strategies to prevent falls and associated injury among older people in NSW are needed, particularly safety and avoidance strategies targeted at males. Future linkage studies may provide a better understanding of the characteristics and overall healthcare usage of people who fall, and can assist in evaluating the effectiveness of fall prevention interventions.


This work is supported by the National Health and Medical Research Council (NHMRC) Partnerships for Better Health grant (ID: 1016876). The authors thank NSW Health for its in-kind support and contribution to the NHMRC Partnership grant Widespread implementation of interventions to prevent falls in older people. Salary funding for SRL, LH, AT, LC and CS is provided by NHMRC fellowships.


Creative Commons License

© 2017 Paul et al. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Licence, which allows others to redistribute, adapt and share this work non-commercially provided they attribute the work and any adapted version of it is distributed under the same Creative Commons licence terms.


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