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      Determining Risk of Falls in Community Dwelling Older Adults: A Systematic Review and Meta-analysis Using Posttest Probability

      review-article
      , PT, DPT, PhD 1 , , , PT, PhD 2 , , PT, DPT, PhD 3 , , PT, PhD 4 , , PT, DPT, GCS 5 , , PT, DPT, GCS 6 , , PT, GCS 7 , , PT, DPT, GCS 8 , , PT, DPT, GCS 9 , , PT, DPT, PhD, GCS, OCS 10
      Journal of Geriatric Physical Therapy (2001)
      Wolters Kluwer Health, Inc.
      accidental falls, community-dwelling older adults, functional assessment

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          Abstract

          Background:

          Falls and their consequences are significant concerns for older adults, caregivers, and health care providers. Identification of fall risk is crucial for appropriate referral to preventive interventions. Falls are multifactorial; no single measure is an accurate diagnostic tool. There is limited information on which history question, self-report measure, or performance-based measure, or combination of measures, best predicts future falls.

          Purpose:

          First, to evaluate the predictive ability of history questions, self-report measures, and performance-based measures for assessing fall risk of community-dwelling older adults by calculating and comparing posttest probability (PoTP) values for individual test/measures. Second, to evaluate usefulness of cumulative PoTP for measures in combination.

          Data Sources:

          To be included, a study must have used fall status as an outcome or classification variable, have a sample size of at least 30 ambulatory community-living older adults (≥65 years), and track falls occurrence for a minimum of 6 months. Studies in acute or long-term care settings, as well as those including participants with significant cognitive or neuromuscular conditions related to increased fall risk, were excluded. Searches of Medline/PubMED and Cumulative Index of Nursing and Allied Health (CINAHL) from January 1990 through September 2013 identified 2294 abstracts concerned with fall risk assessment in community-dwelling older adults.

          Study Selection:

          Because the number of prospective studies of fall risk assessment was limited, retrospective studies that classified participants (faller/nonfallers) were also included. Ninety-five full-text articles met inclusion criteria; 59 contained necessary data for calculation of PoTP. The Quality Assessment Tool for Diagnostic Accuracy Studies (QUADAS) was used to assess each study's methodological quality.

          Data Extraction:

          Study design and QUADAS score determined the level of evidence. Data for calculation of sensitivity (Sn), specificity (Sp), likelihood ratios (LR), and PoTP values were available for 21 of 46 measures used as search terms. An additional 73 history questions, self-report measures, and performance-based measures were used in included articles; PoTP values could be calculated for 35.

          Data Synthesis:

          Evidence tables including PoTP values were constructed for 15 history questions, 15 self-report measures, and 26 performance-based measures. Recommendations for clinical practice were based on consensus.

          Limitations:

          Variations in study quality, procedures, and statistical analyses challenged data extraction, interpretation, and synthesis. There was insufficient data for calculation of PoTP values for 63 of 119 tests.

          Conclusions:

          No single test/measure demonstrated strong PoTP values. Five history questions, 2 self-report measures, and 5 performance-based measures may have clinical usefulness in assessing risk of falling on the basis of cumulative PoTP. Berg Balance Scale score (≤50 points), Timed Up and Go times (≥12 seconds), and 5 times sit-to-stand times (≥12) seconds are currently the most evidence-supported functional measures to determine individual risk of future falls. Shortfalls identified during review will direct researchers to address knowledge gaps.

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          Most cited references38

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          Predicting the probability for falls in community-dwelling older adults using the Timed Up & Go Test.

          This study examined the sensitivity and specificity of the Timed Up & Go Test (TUG) under single-task versus dual-task conditions for identifying elderly individuals who are prone to falling. Fifteen older adults with no history of falls (mean age=78 years, SD=6, range=65-85) and 15 older adults with a history of 2 or more falls in the previous 6 months (mean age=86.2 years, SD=6, range=76-95) participated. Time taken to complete the TUG under 3 conditions (TUG, TUG with a subtraction task [TUGcognitive], and TUG while carrying a full cup of water [TUGmanual]) was measured. A multivariate analysis of variance and discriminant function and logistic regression analyses were performed. The TUG was found to be a sensitive (sensitivity=87%) and specific (specificity=87%) measure for identifying elderly individuals who are prone to falls. For both groups of older adults, simultaneous performance of an additional task increased the time taken to complete the TUG, with the greatest effect in the older adults with a history of falls. The TUG scores with or without an additional task (cognitive or manual) were equivalent with respect to identifying fallers and nonfallers. The results suggest that the TUG is a sensitive and specific measure for identifying community-dwelling adults who are at risk for falls. The ability to predict falls is not enhanced by adding a secondary task when performing the TUG.
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            Predicting the probability for falls in community-dwelling older adults.

            The objective of this retrospective case-control study was to develop a model for predicting the likelihood of falls among community-dwelling older adults. Forty-four community-dwelling adults (> or = 65 years of age) with and without a history of falls participated. Subjects completed a health status questionnaire and underwent a clinical evaluation of balance and mobility function. Variables that differed between fallers and nonfallers were identified, using t tests and cross tabulation with chi-square tests. A forward stepwise regression analysis was carried out to identify a combination of variables that effectively predicted fall status. Five variables were found to be associated with fall history. These variables were analyzed using logistic regression. The final model combined the score on the Berg Balance Scale with a self-reported history of imbalance to predict fall risk. Sensitivity was 91%, and specificity was 82%. A simple predictive model based on two risk factors can be used by physical therapists to quantify fall risk in community-dwelling older adults. Identification of patients with a high fall risk can lead to an appropriate referral into a fall prevention program. In addition, fall risk can be used to calculate change resulting from intervention.
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              Risk factors for serious injury during falls by older persons in the community.

              Serious fall injury represents a little studied, yet common and potentially preventable, cause of morbidity and mortality among older persons. We determined the frequency of, and risk factors for, experiencing serious fall injury events among older persons in the community. A representative sample of 1103 community-living persons aged 72 years and older underwent comprehensive baseline and 1-year evaluations. During a median 31 months of follow-up, fall data were obtained using fall calendars. Injury data were obtained from telephone interviews and from surveillance of emergency room and hospital records. At least one fall was experienced by 546 (49%) participants. A total of 123 participants, representing 23% of fallers and 12% of the cohort, experienced 183 serious fall injury events. The factors independently associated with experiencing a serious injury during a fall included cognitive impairment (adjusted odds ratios 2.2; 95% confidence interval 1.5, 3.2); presence of at least two chronic conditions (2.0; 1.4, 2.9); balance and gait impairment (1.8; 1.3, 2.7); and low body mass index (1.8; 1.2, 2.5). In a separate analysis, including only subjects who fell, female gender (1.8; 1.1, 2.9) as well as most of the above factors were associated with experiencing a fall injury. Several readily identifiable factors appeared to distinguish the subgroup of older fallers at risk for suffering a serious fall injury. These factors should help guide who and what to target in prevention efforts.
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                Author and article information

                Journal
                J Geriatr Phys Ther
                J Geriatr Phys Ther
                JGPT
                Journal of Geriatric Physical Therapy (2001)
                Wolters Kluwer Health, Inc.
                1539-8412
                2152-0895
                January 2017
                15 December 2016
                : 40
                : 1
                : 1-36
                Affiliations
                [1 ]Department of Physical Therapy and Human Movement Science, College of Health Professions, Sacred Heart University, Fairfield, Connecticut
                [2 ]Department of Physical Therapy, Arnold School of Public Health, University of South Carolina, Columbia
                [3 ]Division of Rehabilitation Sciences and Center for Recovery, Physical Activity and Nutrition, University of Texas Medical Branch, Galveston
                [4 ]Department of Physical Therapy, Winston Salem State University, Winston Salem, North Carolina
                [5 ]University of Vermont Medical Center, Colchester
                [6 ]University of North Carolina Memorial Hospitals, Chapel Hill
                [7 ]Physical Therapy Program, Chatham University, Pittsburgh, Pennsylvania
                [8 ]Care One at the Highlands, Edison, New Jersey
                [9 ]Geriatric Residency Program, Brooks Rehabilitation Institute of Higher Learning, Jacksonville, Florida
                [10 ]School of Physical Therapy, Pacific University, Hillsboro, Oregon
                Author notes
                [*]Address correspondence to: Michelle M. Lusardi, PT, DPT, PhD, FAPTA, Professor Emeritus, Department of Physical Therapy and Human Movement Science, College of Health Professions, Sacred Heart University, Fairfield, CT 06825 ( lusardim@ 123456sacredheart.edu ).
                Article
                jgpt4001p1
                10.1519/JPT.0000000000000099
                5158094
                27537070
                9c9e1646-ef6f-4006-8f30-53b9bf6bd5e3
                © 2017 Academy of Geriatric Physical Therapy, APTA.

                This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.

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                Systematic Reviews
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                accidental falls,community-dwelling older adults,functional assessment

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