Literature DB >> 23776331

Falls in the community: state of the science.

Amy L Hester1, Feifei Wei.   

Abstract

Falls and fall-related injuries among older community-dwelling adults continue to be a major health concern in the US. Falls are the leading cause of disability and trauma-related death in persons over 65 years of age. This article discusses current approaches in community fall management and challenges with these approaches, and offers some insight for community providers regarding this issue.

Entities:  

Keywords:  aged; community falls; patient care planning; risk assessment

Mesh:

Year:  2013        PMID: 23776331      PMCID: PMC3681268          DOI: 10.2147/CIA.S44996

Source DB:  PubMed          Journal:  Clin Interv Aging        ISSN: 1176-9092            Impact factor:   4.458


Background

National

Falls and fall-related injuries among older community-dwelling adults continue to be major health problems in the US.1 In community-dwelling adults aged 65 years or older, one in three suffers a fall each year.2,3 In those over 80 years of age who live in the community, 50% sustain a fall each year.4,5 Falls have been the leading cause of injury and injury-related deaths for over a decade, and represent the single most common cause for trauma-related hospital admission in this population.1,6–8 In 2008 alone, more than 19,700 adults aged 65 years or older died from fall-related injuries. In 2009, 2.2 million fall-related injuries among adults aged 65 years or older were treated in emergency departments, and more than 581,000 of the patients involved were hospitalized.7 In 2000, the direct medical cost of fatal fall injuries in the US totaled $179 million and the direct cost of caring for nonfatal falls was $19 billion, which translates into $28.2 billion in 2010 dollars.9–11 By the year 2020, the annual direct and indirect costs are predicted to rise to $47 billion in 2010 dollars.12 Brain injuries and injuries to the hips, legs, and feet are the most fatal and costly of fall injuries, accounting for 78% of fatalities and 79% of fall-related costs.11 Occurring in 33% of nonfatal falls, fractures are the most common and costly fall injuries, and account for 61% of nonfatal fall-related costs.11 Other consequences of falls that are more difficult to quantify in such terms include loss of mobility, functional decline, loss of independence, psychological consequences, social impact, and institutionalization.8,9,13–15 The purpose of this article is to describe the process of falls and injury management in the community setting and discuss issues with each step in this process.

Local

To investigate the impact of falls locally, a data warehouse query was performed to measure how many patients aged 65 years and older were treated for fall-related injuries at an academic medical center in the south central US, which is the only level 1 trauma center in that state. The query identified a total of 51,138 patients aged over 65 years and treated for all causes from January 2007 to June 2012. Demographic information for these patients is shown in Table 1. International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) diagnosis codes were used to identify patient visits related to falls, identified by E codes 880–888, and to identify the primary diagnoses for these fall-related patient visits.16 Of these 51,138 individuals, 4363 (9%) were treated for various injuries related to fall events during 6130 episodes of care. These episodes of care represented visits to all points of entry, including hospital, emergency department, and outpatient clinic visits. Further examination of the primary medical coding for these individuals revealed that 1566 (36%) suffered a head injury or fracture from their fall (Table 2). Although these data do not take into account individuals who received medical care at other neighborhood facilities for their falls, it does provide an insight into the percentage of the most severe fall-related injuries (fractures and head injuries) among patients who seek medical care for falls. It also provides an understanding as to the volume of fall-related care that single hospitals provide. This high incidence of serious fall-related injuries has clinical significance for this group in particular because fractures and head injuries are the most common cause of long-term disability and institutionalization in persons over 65 years of age.
Table 1

Demographic characteristics of patients aged 65 and older treated between January 1, 2007 and June 30, 2012

RaceAll patients ≥ 65 years

FemaleMaleTotal
Ethnic category
 Hispanic or Latino9663159
 Not Hispanic or Latino28,86121,26650,127
 Unknown/refused to answer426426852
Total of all subjects29,38321,75551,138
Racial categories
 American Indian/Alaska Native362662
 Asian12980209
 Native Hawaiian or other213
 Pacific Islander
 Black or African-American463723606997
 White24,05718,79942,856
 More than one race000
 Unknown/refused to answer5224891011
Total of all subjects29,38321,75551,138
Age, years
 65–7415,58212,57028,152
 75–849529713516,664
 85+427220506322
Total of all subjects29,38321,75551,138
Table 2

Total number of patients aged 65 years and older with falls/injurious falls between January 1, 2007 and June 30, 2012

ICD-9-CM diagnosis codesPatients (n)Episodes (n)
Falls Injurious fallsE880–8884363 (9%)6130
E880–888 and any of the following: Primary diagnosis of any codes shown below:
Intracranial injury 850–854.xx
Head injuries 959.01
Fracture of skull 800–804.xx
Fracture of neck and trunk 805–809.xx
Fracture of upper limb 810–819.xx
Fracture of lower limb 820–829.xx1566 (3%)1759
Total population51,138

Abbreviation: ICD-9-CM, International Classification of Diseases, 9th Revision, Clinical Modification.

Issues of falls and injury management

As demonstrated above, falls and injury management in the community setting remains a prevalent issue. As in the hospital setting, the process of fall and injury management in older community-dwelling adults starts with risk assessment. 17 Beyond that step, the two settings are vastly different in their approaches to care. The process of fall management in the community setting and issues surrounding it are described below.

Risk assessment

Risk assessment for the older community-dwelling adult generally takes place in the clinic and home health settings, and is done by physicians, therapists, and licensed nursing staff. Accuracy of risk assessment tools including inter-rater reliability, sensitivity, and specificity remains an important issue to consider across settings. It is also important to consider which fall prediction instruments are most appropriate given the history of the patient, the resources available, and the setting in which they are being used.18 Several risk screening and assessment tools for use in the community setting are available. Fabre et al18 argue that rapid screening tools may not identify the actual risk factor for or cause of a fall, and those tools that are comprehensive in nature cannot be easily delivered in community-based settings. Other literature suggests that currently used fall risk assessment tools are becoming outdated and are used infrequently in community dwellers when compared with those who are hospitalized.19 Fabre et al argue that “development and use of comprehensive falls risk screening tools that identify and weight falls risk factors is encouraged among researchers and clinicians and should be a focal point of falls prevention research.”18 In the hospital setting, there is ample time and opportunity for assessing fall risk and care planning for falls and injury prevention because patients are generally hospitalized for several days. Whereas patients in hospital are typically assessed for fall risk at least daily, providers in the community setting have less time and opportunity to assess fall risk. The opportunity to assess risk for the older community-dwelling adult is therefore dependent on how often they seek outpatient care. In the community setting, assessment of fall risk is typically performed annually,18 and time spent with care providers is finite, with face to face time often lasting a few minutes. The only available risk assessment tool for the outpatient setting that takes less than a minute to complete is the Timed Get Up and Go Test. All other validated fall risk assessment tools used in the outpatient setting require 15–20 minutes to complete,20 which is a barrier to their use, particularly in the clinical setting. Table 3 provides psychometrics for the commonly used adult outpatient fall risk assessment tools.
Table 3

Psychometric statistics of commonly used adult outpatient fall risk assessment tools20

Scale nameBerg balance testElderly fall screening testDynamic gait indexTimed get up and goTinetti performance oriented mobility
Sample sizeNo data3611333079
Optimum cut score493191410
Inter-rater reliability0.95No dataNo data0.980.90
Sensitivity77%93%85%87%80%
Specificity86%78%38%87%74%

Notes: Table content reused with permission from Oxford University Press. Perell KL, Nelson A, Goldman RL, Luther SL, Prieto-Lewis N, Rubenstein LZ. Fall risk assessment measures: an analytic review. J Gerontol A Biol Sci Med Sci. 2001;56(12):M761–M766.

Planning of care

Although not as strictly regulated by agencies in the outpatient setting, attention to fall prevention is mandated by The Joint Commission and the Medicare Payment Advisory Commission.21 As in the hospital setting, care planning in the community is aimed at mitigating the risk of falls. Here, care plans are less formal and rely on effective education and communication with patients and families during periodic visits that are often unrelated to fall prevention. Similar to risk assessment, education can require significant time to complete, especially if the patient is complex or cognitively impaired. This often results in clinicians relying on brochure-type education provided to the patient and family at the end of their visit, instead of face to face education where there is an opportunity for questions and clarification of individual issues. Another problem with prevention of falls in the community setting is that management of falls in this setting is under the purview of several types of clinicians practicing in different settings under varying incentive and reimbursement schemes.21 Barriers to incorporating fall prevention into practice include lack of knowledge on the part of the clinician about falling as a preventable condition, perceived lack of expertise, insufficient reimbursement for fall prevention services, and inadequate referral patterns among clinicians.21,22 These issues are further confounded by increasing numbers of older adults, who represent the fastest growing segment of the US population. As the needed number of community-based health care providers continues to grow, this trend will make it even more difficult for existing providers to meet the needs of this ageing population.23 Recognizing the enormous challenges of reducing falls among older adults in the community setting, the US Federal Government passed the Safety of Seniors Act of 2007. This bill amended the Public Health Services Act, authorizing the Secretary of Health and Human Services to oversee and support a national education campaign for fall prevention and to expand grant opportunities for studies that focus on risk assessment and both fall and injury reduction specifically for older adults.24 The impact of this bill remains to be seen. In addition, the Centers for Disease Control and Prevention has spent over $24 million in fall-related research and programs over the last 20 years.25 Access to free fall prevention guides is available on the Centers for Disease Control and Prevention website at www.cdc.gov.

Event reporting and benchmarking

Event reporting and benchmarking do not hold the same imperatives for community-based fall and injury management programs as they do for the inpatient setting. Falls that occur in the community are usually captured at the national level by insurance claims data. Local analysis of fall-related events, such as that presented in Tables 1 and 2, is difficult and time-consuming to perform without the resources of a data warehouse. However, by using approaches to collect the data in Tables 1 and 2, and by utilizing Medicare data on medically consulted falls, we could establish a community-wide event reporting system and set up benchmarks for community- dwelling adults aged 65 years and older. In addition to Medicare data, data warehouses affiliated to care facilities can be utilized for event reporting and benchmarking. The requirement for a data warehouse to participate in the national benchmarking system is that its affiliated care facilities need to uniformly and consistently code all fall-related events using E-880–888 and the extent of injuries using adequate ICD-9-CM codes for all patients seen not only in emergency departments but also in outpatient clinics. Benchmarking in this way would allow community providers insight as to the magnitude of falls and fall-related injuries in their respective communities and would allow for comparisons between communities. Such comparisons may allow community providers to collaborate more effectively to prevent falls and injuries in the community setting.

Discussion

Falls and fall-related injuries are high-risk, high-volume, and high-cost events26 in the community setting.27 Complex relationships between providers and the changing and diverse needs of patients make managing and sustaining fall and injury reduction a difficult endeavor. Most fall research among older community-dwelling adults has focused on multifactorial interventions to minimize the risk of falling. Other research has focused on development of assessment tools for identifying those at risk for falls.28 While studies have found some successful approaches to reducing community-based falls,21,23,29 incorporation of their findings into practice has been limited due to lack of time, poor motivation of target populations, and insufficient cooperation between health care providers.30 This has resulted in even positive research findings having little impact on the overall problem. It is unknown if the Safety of Seniors Act of 2007 will be a catalyst for changing the current trends in community-based fall prevention efforts. In a time of declining reimbursement, staffing shortages, and need for outcome transparency, clinicians need clarity on how to provide preventive patient care as efficiently as possible.31,32 Most of the previous fall research has focused on preventing all fall events in all patients. Undeniably, preventing falls prevents injuries. However, approaching injury management from only this perspective has been unsuccessful in affecting the overall issue, especially in the community setting. Increased effort specifically towards prediction and prevention of injury may provide a more efficient and successful approach. Future research should concentrate on identifying and predicting those persons specifically at risk for injurious falls, which would allow health care providers to target and intensify interventions to those most at risk for falls with injury. This would provide clinicians with a more focused and effective approach to specific management of injurious falls, which are the most harmful and costly to the community.
  28 in total

1.  Geriatric falls: injury severity is high and disproportionate to mechanism.

Authors:  D A Sterling; J A O'Connor; J Bonadies
Journal:  J Trauma       Date:  2001-01

Review 2.  Fall risk assessment measures: an analytic review.

Authors:  K L Perell; A Nelson; R L Goldman; S L Luther; N Prieto-Lewis; L Z Rubenstein
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2001-12       Impact factor: 6.053

Review 3.  The epidemiology of falls and syncope.

Authors:  Laurence Z Rubenstein; Karen R Josephson
Journal:  Clin Geriatr Med       Date:  2002-05       Impact factor: 3.076

4.  Using root cause analysis to reduce falls with injury in the psychiatric unit.

Authors:  Alexandra Lee; Peter D Mills; Bradley V Watts
Journal:  Gen Hosp Psychiatry       Date:  2012-01-27       Impact factor: 3.238

5.  Gait variability and fall risk in community-living older adults: a 1-year prospective study.

Authors:  J M Hausdorff; D A Rios; H K Edelberg
Journal:  Arch Phys Med Rehabil       Date:  2001-08       Impact factor: 3.966

Review 6.  Technology to promote safe mobility in the elderly.

Authors:  Audrey Nelson; Gail Powell-Cope; Deborah Gavin-Dreschnack; Pat Quigley; Tatjana Bulat; Andrea S Baptiste; Shawn Applegarth; Yvonne Friedman
Journal:  Nurs Clin North Am       Date:  2004-09       Impact factor: 1.208

7.  Factors associated with serious injury during falls by ambulatory nursing home residents.

Authors:  M E Tinetti
Journal:  J Am Geriatr Soc       Date:  1987-07       Impact factor: 5.562

Review 8.  Visual factors should be assessed in older people presenting with falls or hip fracture.

Authors:  Ahmed H Abdelhafiz; Christopher A Austin
Journal:  Age Ageing       Date:  2003-01       Impact factor: 10.668

Review 9.  Falls in older people: the role of assessment in prevention and care.

Authors:  John Unsworth
Journal:  Br J Community Nurs       Date:  2003-06

10.  Minnesota Hospital Association Statewide Project: SAFE from FALLS.

Authors:  Julie Apold; Patricia A Quigley
Journal:  J Nurs Care Qual       Date:  2012 Oct-Dec       Impact factor: 1.597

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  11 in total

1.  Rapid and reliable assessment of the contrast sensitivity function on an iPad.

Authors:  Michael Dorr; Luis A Lesmes; Zhong-Lin Lu; Peter J Bex
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-11-05       Impact factor: 4.799

2.  Interaction of age, cognitive function, and gait performance in 50-80-year-olds.

Authors:  Dain P LaRoche; Brittnee L Greenleaf; Ronald V Croce; Jill A McGaughy
Journal:  Age (Dordr)       Date:  2014-07-30

3.  Geriatric hospitalizations in fall-related injuries.

Authors:  Cheng-Shyuan Rau; Tsan-Shiun Lin; Shao-Chun Wu; Johnson Chia-Shen Yang; Shiun-Yuan Hsu; Tzu-Yu Cho; Ching-Hua Hsieh
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2014-11-12       Impact factor: 2.953

Review 4.  Involvement of older people in the development of fall detection systems: a scoping review.

Authors:  Friederike J S Thilo; Barbara Hürlimann; Sabine Hahn; Selina Bilger; Jos M G A Schols; Ruud J G Halfens
Journal:  BMC Geriatr       Date:  2016-02-11       Impact factor: 3.921

5.  Involvement of the end user: exploration of older people's needs and preferences for a wearable fall detection device - a qualitative descriptive study.

Authors:  Friederike Js Thilo; Selina Bilger; Ruud Jg Halfens; Jos Mga Schols; Sabine Hahn
Journal:  Patient Prefer Adherence       Date:  2016-12-20       Impact factor: 2.711

6.  The design and development of a complex multifactorial falls assessment intervention for falls prevention: The Prevention of Falls Injury Trial (PreFIT).

Authors:  Julie Bruce; Shvaita Ralhan; Ray Sheridan; Katharine Westacott; Emma Withers; Susanne Finnegan; John Davison; Finbarr C Martin; Sarah E Lamb
Journal:  BMC Geriatr       Date:  2017-06-01       Impact factor: 3.921

7.  Record of the circumstances of falls in the community: perspective in the Iberian Peninsula.

Authors:  Maria de Fátima Araújo; Nilza Nogueira Caldevilla; Candida Maciel; Felicidade Malheiro; María Aurora Rodríguez-Borrego; Pablo Jesús López-Soto
Journal:  Rev Lat Am Enfermagem       Date:  2018-07-16

8.  Trauma in elderly patients evaluated in a hospital emergency department in Konya, Turkey: a retrospective study.

Authors:  Hasan Kara; Aysegul Bayir; Ahmet Ak; Murat Akinci; Necmettin Tufekci; Selim Degirmenci; Melih Azap
Journal:  Clin Interv Aging       Date:  2013-12-11       Impact factor: 4.458

9.  Gender Difference in Falls among Adults Treated in Emergency Departments and Outpatient Clinics.

Authors:  Feifei Wei; Amy L Hester
Journal:  J Gerontol Geriatr Res       Date:  2014-04-01

10.  Obese patients who fall have less injury severity but a longer hospital stay than normal-weight patients.

Authors:  Jung-Fang Chuang; Cheng-Shyuan Rau; Hang-Tsung Liu; Shao-Chun Wu; Yi-Chun Chen; Shiun-Yuan Hsu; Hsiao-Yun Hsieh; Ching-Hua Hsieh
Journal:  World J Emerg Surg       Date:  2016-01-04       Impact factor: 5.469

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