References

Akyol AD. Falls in the elderly: what can be done?. Int Nurs Rev. 2007; 54:(2)191-196 https://doi.org/10.1111/j.1466-7657.2007.00505.x

Ash KL, MacLeod P, Clark L. A case control study of falls in the hospital setting. J Gerontol Nurs. 1998; 24:(12)7-15 https://doi.org/10.3928/0098-9134-19981201-05

Close JC, Halter M, Elrick A, Brain G, Swift CG. Falls in the older population: a pilot study to assess those attended by London ambulance service but not taken to A&E. Age Ageing. 2002; 31:(6)488-489 https://doi.org/10.1093/ageing/31.6.488

Darnell G, Mason SM, Snooks H. Elderly falls: a national survey of UK ambulance services. Emerg Med J. 2012; 29:(12)1009-1010 https://doi.org/10.1136/emermed-2011-200419

Dunlop DD, Semanik P, Song J, Manheim LM, Shih V, Chang RW. Risk factors for functional decline in older adults with arthritis. Arthritis Rheum. 2005; 52:(4)1274-1282 https://doi.org/10.1002/art.20968

Fleming J, Brayne C Inability to get up after falling, subsequent time on floor, and summoning help: prospective cohort study in people over 90. BMJ. 2008; 337 https://doi.org/10.1136/bmj.a2227

Grimmer M, Riener R, Walsh CJ, Seyfarth A. Mobility related physical and functional losses due to aging and disease—a motivation for lower limb exoskeletons. J Neuroeng Rehabil. 2019; 16:(1)1-21 https://doi.org/10.1186/s12984-018-0458-8

Kallin K, Lundin-Olsson L, Jensen J, Nyberg L, Gustafson Y. Predisposing and precipitating factors for falls among older people in residential care. Public Health. 2002; 116:(5)263-271 https://doi.org/10.1016/S0033-3506(02)90016-8

Kenny RA, Romero-Ortuno R, Kumar P. Falls in older adults. Medicine. 2017; 45:(1)28-33 https://doi.org/10.1016/j.mpmed.2016.10.007

Lord S, Sherrington C, Menz H, Close J. Falls in older people: risk factors and strategies for prevention, 2nd edn. Cambridge: Cambridge University Press; 2007 https://doi.org/10.1017/CBO9780511722233

Mottram S, Peat G, Thomas E, Wilkie R, Croft P. Patterns of pain and mobility limitation in older people: cross-sectional findings from a population survey of 18,497 adults aged 50 years and over. Qual Life Res. 2008; 17:(4)529-539 https://doi.org/10.1007/s11136-008-9324-7

National Institute for Health and Care Excellence. Falls and older people: assessing risk and prevention. Clinical guideline [CG161]. 2013. https//www.nice.org.uk/guidance/cg161 (accessed 16 March 2022)

NHS England and NHS Improvement. Planning to safely reduce avoidable conveyance. Ambulance Improvement Programme. 2019. https//www.england.nhs.uk/wp-content/uploads/2019/09/planning-to-safetly-reduce-avoidable-conveyance-v4.0.pdf (accessed 16 March 2022)

Pirker W, Katzenschlager R. Gait disorders in adults and the elderly : A clinical guide. Wien Klin Wochenschr. 2017; 129:(3–4)81-95 https://doi.org/10.1007/s00508-016-1096-4

Rockwood K, Song X, MacKnight C A global clinical measure of fitness and frailty in elderly people. CMAJ. 2005; 173:(5)489-495 https://doi.org/10.1503/cmaj.050051

Rubenstein LZ. Falls in older people: epidemiology, risk factors and strategies for prevention. Age Ageing. 2006; 35:ii37-ii41 https://doi.org/10.1093/ageing/afl084

Rubenstein LZ, Josephson KR, Robbins AS. Falls in the nursing home. Ann Intern Med. 1994; 121:(6)442-451 https://doi.org/10.7326/0003-4819-121-6-199409150-00009

Scuffham P, Chaplin S, Legood R. Incidence and costs of unintentional falls in older people in the United Kingdom. J Epidemiol Community Health. 2003; 57:(9)740-744 https://doi.org/10.1136/jech.57.9.740

Segev-Jacubovski O, Herman T, Yogev-Seligmann G, Mirelman A, Giladi N, Hausdorff JM. The interplay between gait, falls and cognition: can cognitive therapy reduce fall risk?. Expert Rev Neurother. 2011; 11:(7)1057-1075 https://doi.org/10.1586/ern.11.69

Stubbs B, Schofield P, Patchay S. Mobility limitations and fall-related factors contribute to the reduced health-related quality of life in older adults with chronic musculoskeletal pain. Pain Pract. 2016; 16:(1)80-89 https://doi.org/10.1111/papr.12264

Tinetti ME, Liu WL, Claus EB. Predictors and prognosis of inability to get up after falls among elderly persons. JAMA. 1993; 269:(1)65-70 https://doi.org/10.1001/jama.269.1.65

Tinetti ME, Speechley M, Ginter SF. Risk factors for falls among elderly persons living in the community. N Engl J Med. 1988; 319:(26)1701-1707 https://doi.org/10.1056/NEJM198812293192604

von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Bull World Health Organ. 2007; 85:(11)867-872 https://doi.org/10.2471/BLT.07.045120

Predicting conveyance to the emergency department for older adults who fall

02 April 2022
Volume 14 · Issue 4

Abstract

Background:

Falls are frequent in older adults and are associated with high mortality, morbidity and immobility. Many patients can be managed in the community, but some will require conveyance to the emergency department (ED).

Aims:

This study aims to identify predictive characteristics of conveyance to the ED after a fall.

Methods:

A cross-sectional study between December 2018 and September 2020 involved patients attended by a falls rapid response service. Eligible patients were aged ≥60 years with mental capacity, had experienced a fall and were living within the relevant geographical area.

Findings:

426 patients were enrolled, with a mean age of 82.61 years (SD 8.4; range 60–99 years) and 60.7% were women. Predictive characteristics of conveyance were an injurious fall or pain (OR 8.25; 95% CI (4.89–14.50); P≤0.01) and having been lying for a long time (OR 1.6; 95% CI (1.00–2.56); P=0.04).

Conclusion:

It is possible to identify predictors of conveyance to the ED; therefore, an undifferentiated approach towards dispatching the falls rapid response service to all older adults who fall is unwarranted.

The National Institute for Health Care Excellence (NICE, 2013) defines a fall as an unintentional or unexpected loss of balance resulting in coming to rest on the floor, on the ground or on an object below knee level. Falls are frequent in older adults, are the primary cause of injury in those aged 65 years and over, and are associated with high mortality, morbidity and immobility (Rubenstein, 2006; Darnell et al, 2012). Evidence suggests that 35% of those aged >65 years of age fall annually (Tinetti et al, 1988).

Ambulance services across the UK respond to about 300 000–400 000 emergency (999) calls for falls in older people each year (Close et al, 2002), many of which result in conveyance to the emergency department (ED). It has been estimated that the cost of falls accounts for 3% of total NHS expenditure (Scuffham and Chaplin, 2003).

Ambulance services are under continued, sustained, demand-led pressure and have seen a 6% year-on-year increase in calls between 2009–2010 and 2016–2017 (NHS England and NHS Improvement, 2019).

Historically, it has been common practice for ambulance services to convey older adults who fall to the ED. The Ambulance Improvement Programme identified falls as one of six pillars of improvement (NHS England and NHS Improvement, 2019), suggesting older adults who fall could be safely managed and discharged on scene.

In response, most ambulance services in the UK use strategies to prevent falls in older adults, promote healthy ageing and reduce conveyance to the ED. In conjunction with Gateshead Health NHS Foundation Trust, North East Ambulance Service (NEAS) NHS Foundation Trust launched a pilot falls rapid response service (FRRS) covering Newcastle upon Tyne and Gateshead in September 2018. Although evidence supports associations between several risk factors and falls (Rubenstein, 2006), predictors of conveyance to the ED are less clear.

The population is undoubtedly ageing and the number of older adults who contact the ambulance service after a fall will continue to rise.

The authors hypothesised that: some of these patients will be unsuitable for on-scene discharge and will require conveyance to the ED; and predictive characteristics of conveyance could be identified.

Falls are the primary cause of injury in people aged 65+ years and are associated with high mortality, morbidity and immobility

Consequently, despatching the FRRS to all older adults who fall is not practical and may not be desirable, and predicting patients likely to need conveyance to hospital could result in more effective use of the FRRS.

The purpose of this study was to identify the predictive characteristics of conveyance to the ED in older adults using the FRRS.

Ethics

North West–Greater Manchester North West Research Ethics Committee (18/NW/0763) and the Health Research Authority provided ethics approval for this study.

Setting

NEAS is one of 10 ambulance services in England, covering 3230 square miles and a population of 2.71 million. NEAS serves metropolitan, urban and rural areas. The FRRS responded to calls within the Newcastle and Gateshead geographical area serving a population of 200 153. The FRRS comprised a paramedic and occupational therapist (OT) who could access alternative and rapid care pathways to promote falls prevention and to facilitate safe non-conveyance of older adults. The FRRS is available from 7:00–17:00, 7 days per week.

Methods

This cross-sectional study ran from December 2018 until September 2020 and the authors set out to enrol consecutive patients who were attended by the FRRS in this period. Eligible for inclusion were all patients aged ≥60 years who had mental capacity and who had had a fall within the relevant geographical area.

The FRRS paramedic or OT screened patients for eligibility and approached appropriate patients regarding the study following clinical assessment if they had mental capacity. Patients were provided with an information sheet, had an opportunity to ask questions and provided written informed consent before enrolment.

The FRRS paramedic or OT prospectively collected baseline sociodemographic characteristics and health status data, which were attached to the ambulance electronic patient care record. In addition, patients were asked to self-report a fear of falling (FoF) score using an 11-point Likert scale (0=no fear of falling; 10=worst fear of falling). A frailty score for the day of contact with the FRRS was calculated using the Clinical Frailty Scale (CFS) (Rockwood et al, 2005). A long lie, where a patient remains on the floor or ground for >1 hour following a fall (Lord et al, 2007), was defined as the time from the emergency call to the arrival of the FRRS >1 hour. Polypharmacy was defined as the use of ≥4 medications (Akyol, 2007).

Statistics

Descriptive statistics are presented using counts (n) and frequencies (%). Age, CFS and self-reported FoF Likert scales were analysed on a continuous scale from high to low. Comparisons of age and sex between different groups were analysed using a t-test. A generalised linear model and odds ratio (OR) were used to analyse predictive characteristics. A P value of <0.05 was accepted as statistically significant. Data are presented correct to 2 decimal places. Data were analysed using R 3.6.2 (R Project).

Results are reported in accordance with the Strengthening the Reporting of Observational studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies (von Elm et al, 2007).

Results

During the study period, the FRRS attended 1202 patients. After ineligible patients (n=86) and repeat calls (n=25) to patients who had already been enrolled or excluded were removed, 1091 patients were eligible for enrolment. Sixty-one per cent (664/1091) of patients were not enrolled for various reasons: 29.6% (n=324) lacked mental capacity; 16% (n=171) were too unwell to approach regarding the study; 7% (n=77) had other reasons why they could not be approached, such as complex on-scene situations; 4.3% (n=48) were missed recruitment opportunities; 3% (n=34) refused to participate; 0.5% (n=6) were intoxicated; and 0.3% (n=4) were precluded from participating because of language barriers. One participant was enrolled but later withdrew, resulting in 426 patients eligible for analysis. The participation recruitment flowchart is shown in Figure 1. Those not enrolled in the study or not conveyed to the ED did not significantly differ from those who were, in terms of age and sex (Table 1).

Figure 1. Participant recruitment flowchart

Enrolled (n=426) Not enrolled (n=665) P
Mean age (years) 82.61 SD 8.4 (range 60–99) 82.7 SD 8.91 (range 60–103) 0.85
Female sex 259 (60.7%) 392 (58.9%) 0.54
Not conveyed (n=325) Conveyed (n=101)
Mean age (years) 82.8 SD 8.36 (range 60–99) 81.9 SD 8.52 (range 60–96) 0.34
Female sex 194 (59.6) 65 (64.3%) 0.4
Home status (n=426)
Community 380 (89.2%)
Sheltered accommodation 7 (1.6%)
Residential care 39 (9.1%)

SD: standard deviation; P: probability value of age and sex of patients enrolled versus not enrolled in the study, and not conveyed versus conveyed to the emergency department

Of the 426 patients enrolled in the study, the mean age was 82.61 years (SD 8.4; range 60–99) and 60.7% (259/426) were women. In brief, study participants were more likely to live alone (62.4%; 266/426) and had a history of fall events before contact with the FRRS (65.4%; 279/426). Patients had comorbidities and were impaired by known geriatric syndromes, the most common being mobility dysfunction (82.8%; 353/426), balance disorders (81.9%; 349/426), polypharmacy (87%; 371/426), visual impairment (49.2%; 210/426), osteoarthritis (42.9%; 183/426) and incontinence (35.6%; 152/426). Most patients lived in the community (89.2%; 380/426).

The predictive characteristics of non-conveyance and conveyance to the ED were derived from the generalised linear model and are shown in Table 2. Predictive characteristics of non-conveyance reaching significance were a witnessed fall (OR 0.46; 95% CI (0.23–0.85); P=0.01), cognitive impairment (OR 0.3; 95% CI (0.10–0.71); P=0.01), dementia (OR 0.13; 95% CI (0.01–0.64); P=0.04), mobility dysfunction (OR 0.45; 95% CI (0.26–0.78); P≤0.01), balance disorders (OR 0.46; 95% CI (0.27–0.79); P≤0.01) and walking aid use (OR 0.38; 95% CI (0.23–0.64); P≤0.01).


Characteristic n (%) OR 95% CI P
Lives alone 266 (62.4) 0.97 0.61–1.54 0.88
Witnessed fall 86 (20.1) 0.46 0.23–0.85 0.01
History of suffering falls 279 (65.4) 0.67 0.42–1.06 0.08
Known to falls services 77 (18.0) 1.48 0.84–2.54 0.16
Cognitive impairment 53 (12.4) 0.3 0.10–0.71 0.01
Dementia 24 (5.6) 0.13 0.01–0.64 0.04
Parkinson's disease 20 (4.6) 0.45 0.05–1.22 0.15
Stroke 82 (19.2) 0.88 0.48–1.55 0.67
Diabetes 92 (21.5) 1.01 0.58–1.72 0.95
Mobility dysfunction 353 (82.8) 0.45 0.26–0.78 <0.01
Balance disorders 349 (81.9) 0.46 0.27–0.79 <0.01
Osteoarthritis 183 (42.9) 0.93 0.59–1.46 0.75
Osteoporosis 113 (26.5) 0.95 0.56–1.56 0.83
Use of mobility devices 336 (78.8) 0.38 0.23–0.64 <0.01
Blackouts or fainting 34 (7.9) 1.38 0.61–2.91 0.41
Visual impairment 210 (49.2) 0.96 0.61–1.50 0.85
Incontinence 152 (35.6) 0.66 0.40–1.07 0.09
Polypharmacy 371 (87.0) 0.9 0.48–1.78 0.74
Injurious fall/pain 188 (44.1) 8.25 4.89–14.50 <0.01
Long lie 130 (30.5) 1.6 1.00–2.56 0.04
Clinical frailty score (1–9) 426 (100.0) 1.15 0.72–1.88 0.55
11-point fear of falling score (0–10) 391* (92.0) 1.19 0.73–1.91 0.48

OR: odds ratio; P: probability value of conveyance to hospital for each predictive characteristic; CI: confidence interval

* : 35 missing fear of falling scores as participants were unable to provide

Predictive characteristics of conveyance reaching significance were an injurious fall or pain as a result of the current fall (OR 8.25; 95% CI (4.89–14.50); P≤0.01) and a long lie (OR 1.6; 95% CI (1.00–2.56); P=0.04).

Discussion

This cross-sectional study investigated the predictive characteristics of conveyance and non-conveyance to the ED of older adults using the FRRS. Patients enrolled into the study were more likely to be older women who had comorbidities and were clinically complex with a variety of geriatric syndromes.

The authors identified distinct differences between those who were not conveyed and those who were. Conveyance was predicted by the consequence of a fall, such as an injury or pain and a long lie. Predictors of non-conveyance were characteristics traditionally associated with falls; these were having a witnessed fall, cognitive impairment, dementia, mobility dysfunction or balance disorders and using mobility devices.

Mobility dysfunction and balance disorders have consistently been identified as strong risk factors for falls (Tinetti et al, 1988; Rubenstein et al, 1994). Impaired mobility results in a requirement for mobility solutions (Grimmer et al, 2019) such as walking aids, and includes frames, crutches, canes and wheelchairs; older adults who use walking aids have lost their functional independence and the use of a walking aid indicates a decline in the person's posture, gait and step length (Pirker and Katzenschlager, 2017). These syndromes are synonymous with ageing and, although the symptoms can often be managed, the syndromes themselves are unmodifiable. This study indicates that, when the FRRS attends older adults with these characteristics, the patient can frequently be managed in the community with the additional interventions available to the clinical team.

Almost half (44.1%; n=188) of falls in this study resulted in injury or pain, suggesting that negative consequences from them are commonplace. These findings reflect previous research suggesting the prevalence of pain or injury subsequent to a fall is in a range of 40–60% (Kenny et al, 2017). Minor injuries include contusions, grazes or scratches, but many falls result in more serious injuries such as head injuries and fractures (Ash et al, 1998; Kallin at el, 2002).

In this study, the most common reasons for conveyance to the ED (Table 3) were minor trauma, including limb injuries (53.4%; n=54), presenting as medically unwell (24.7%; n=25) and head injuries, including complications origination from anticoagulation therapy (9.9%; n=10).


Reason n
Acute pain 1 (0.99%)
Head injury 10 (9.9%)
Long lie 2 (1.9%)
Loss of mobility 1 (0.99%)
Major trauma 1 (0.99%)
Medically unwell 25 (24.7%)
Minor trauma 54 (53.4%)
Not recorded 6 (5.9%)
Patient safety 1 (0.99%)
Total 101

Older adults are more likely to have musculoskeletal conditions such as osteoporosis, which are known to cause pain. In addition, they are more likely to develop reduced bone density than younger adults, which increases their propensity to experience a fracture or bone injury.

Research has demonstrated that musculoskeletal pain leads to mobility limitations (Mottram et al, 2008) and functional decline (Dunlop et al, 2005), which in turn results in an increase in the risk of falls and concerns regarding the consequences of falling (Stubbs et al, 2016). Therefore, pain before or after a fall has a significant impact on older adults and is detrimental to quality of life.

Diagnosing and managing the cause of pain or injuries in older adults can be complicated and often impossible outside an inpatient setting, so it is not surprising that pain and/or injuries result in conveyance to the ED.

Of all fall events in this study, 30.5% (n=188) resulted in the person lying on the floor for >1 hour. Long lie events are evidence of a delayed initial recovery and may occur for several reasons. Injuries or pain may preclude the patient being able get themselves up from the floor and can be both a cause and result of lying on the floor for a long time (Fleming and Brayne, 2008). Long lies can result if a fall occurs when there is no one around to help. In this study, 62.4% (n=266) patients lived alone but 79.8% (n=340) had an unwitnessed fall, where they were found on the floor after the event; this indicates that even when older adults do live with someone, unwitnessed falls are frequent.

The findings here echo previous research, which indicates the prevalence of unwitnessed falls to be as high as 82% (Segev-Jacubovski et al, 2011) and that older adults living alone in the community or in sheltered housing are unlikely to be able to get up unaided (Fleming and Brayne, 2008). Poor balance and gait and the use of mobility devices (which were highly prevalent in this study's sample) are known to further inhibit older adults from being able to get up from the floor themselves (Tinetti et al, 1993).

Long lie events are associated with further sequelae such as rhabdomyolysis, pressure ulcers, dehydration, hypothermia and pneumonia, and they frequently result in hospital admission (Tinetti et al, 1993) and a move into long-term care (Fleming and Brayne, 2008).

In some situations, long lie events are modifiable and the ambulance service can directly reduce occurrence of long lies by improving the identification of patients who have experienced a period of recumbency on the floor of <1 hour and responding accordingly. Given the deleterious consequences associated with long lie events, more emphasis needs to be placed upon timely identification of modifiable long lies at the time of first contact with the ambulance service, although high, sustained pressures on ambulance services may preclude this.

Limitations

The authors were unable to collect data for all older adults eligible to be attended by the FRRS as some patients lacked capacity, for example, and could not be approached regarding the study. This is a limitation as, for instance, older adults who lack mental capacity may fall for different reasons than those with capacity.

The FRRS was unavailable at night so patients who had a fall between 19:00 and 07:00 were not enrolled. It is plausible that older adults who fall at night differ from those who fall during the day.

This study examined a sample of the population of North East England and, arguably, older adults elsewhere in the UK may present differently and may fall for different reasons. The authors could not account for this variability in their study, which serves to reduce the generalisability of the findings.

The study was not statistically powered to detect a difference between the predictive characteristics of those conveyed and those who were not.

Implications for practice

This study has demonstrated that despite the FRRS having access to alternative and rapid care pathways, conveyance to the ED is unavoidable when the patient has experienced an injurious fall, pain or a long lie event.

In many instances, it is possible to confirm this at the first point of contact with the ambulance service, traditionally during telephone triage. To use the FRRS more efficiently and prioritise the intervention for patients who can receive the most benefit, ambulance services need to promote the identification of the predictors of conveyance identified in this study at the time of the call.

Conclusion

This study has demonstrated it is possible to predict when conveyance or non-conveyance is more likely to occur. The predictive characteristics of conveyance to the ED are different from the predictive characteristics of experiencing a fall. Conveyance to the ED is a consequence of a fall event rather than being linked to an increased risk of experiencing a fall. An undifferentiated approach towards dispatching the FRRS to all older adults who fall is unwarranted.

Further research is required to see how patients can be stratified at the first point of contact and the impact this has on practice and patient satisfaction.

Key Points

  • Falls are frequent in older adults and have deleterious effects on an individual's health and quality of life, and on the wider healthcare system
  • Ambulance services have developed interventions such as a falls rapid response service (FRRS), which is designed to prevent conveyance to the ED of older adults who fall; however, it is always the case that some patients will require conveyance
  • Conveyance to the ED is a consequence of a fall event rather of than having an increased risk of having a fall
  • Given that identifying predictors of conveyance to the emergency department is possible, these predictors should be used to stratify FRRS attendance
  • CPD Reflection Questions

  • Making better use of healthcare interventions is a priority in all healthcare systems. How do you see ambulance-delivered falls interventions evolving as the older population increases in age and size?
  • This study has identified that it is possible to predict which older adults who have suffered a fall will be conveyed. Does this align with your perceptions? How so or why not?
  • What additional interventions or resources do you think are needed to enable ambulance services to more effectively meet the needs of older adults who fall?