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Original Study| Volume 21, ISSUE 12, P1900-1905.e1, December 2020

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Predictive Performance of the FIF Screening Tool in 2 Cohorts of Community-Living Older Adults

  • Nathalie Frisendahl
    Correspondence
    Address correspondence to Nathalie Frisendahl, MSc, Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Widerströmska Huset, Tomtebodavägen 18 A, SE-171 65 Solna, Sweden.
    Affiliations
    Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden

    Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
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  • Stina Ek
    Affiliations
    Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
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  • Erik Rosendahl
    Affiliations
    Department of Community Medicine and Rehabilitation, Physiotherapy, Umeå University, Umeå, Sweden
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  • Anne-Marie Boström
    Affiliations
    Division of Nursing, Department of Neurobiology, Care Science and Society, Karolinska Institutet, Huddinge, Sweden

    Theme Aging, Karolinska University Hospital, Huddinge, Sweden

    Research and Development Unit, Stockholms Sjukhem, Stockholm, Sweden
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  • Cecilia Fagerström
    Affiliations
    Linnaeus University, Faculty of Health and Life Science, Department of Health and Caring Science, Kalmar, Sweden

    Blekinge Centre of Competence, Blekinge County Council, Karlskrona, Sweden
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  • Sölve Elmståhl
    Affiliations
    Division of Geriatric Medicine, Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden
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  • Anna-Karin Welmer
    Affiliations
    Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden

    Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden

    Allied Health Professionals, Function Area Occupational Therapy & Physiotherapy, Karolinska University Hospital, Stockholm, Sweden

    Stockholm Gerontology Research Center, Stockholm, Sweden
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      Abstract

      Objectives

      The First-time Injurious Fall (FIF) screening tool was created to identify fall risk in community-living older adults who may benefit from primary preventive interventions. The aim of this study was to evaluate the predictive performance of the FIF tool in 2 cohorts of older adults.

      Design

      Longitudinal cohort study.

      Setting and Participants

      The Swedish National Study on Aging and Care in Skåne (SNAC-S) and Blekinge (SNAC-B), Sweden. Community-living people aged ≥60 years (n = 2766).

      Methods

      Nurses and physicians collected data in the 2 cohorts through interviews and testing. Data on injurious falls were collected from register data and were defined as receipt of care after a fall. The FIF tool, consisting of 3 questions and 1 balance test, was examined in relation to injurious falls for up to 5 years of follow-up using Cox proportional hazards models. The predictive performance of the FIF tool was further explored using Harrell C statistic and Youden cut-off for sensitivity and specificity.

      Results

      The hazard ratios (HRs) of an injurious fall in the high-risk group for women and men were 3.80 (95% confidence interval [CI] 2.53, 5.73) and 5.10 (95% CI 2.57, 10.12) in SNAC-S and 4.45 (95% CI 1.86, 10.61) and 32.58 (95% CI 4.30, 247.05) in SNAC-B compared with those in the low risk group. The sensitivity and specificity of the Youden cut-off point (3 or higher for high-risk) were 0.64 and 0.69 for women and 0.68 and 0.69 for men in SNAC-S, and 0.64 and 0.74 for women and 0.94 and 0.68 for men in SNAC-B. The predictive values (Harrell C statistic) for the scores for women and men were 0.73 and 0.74 in SNAC-S and 0.72 and 0.89 in SNAC-B.

      Conclusions and Implications

      Our results suggest that the FIF tool is a valid tool to use for prediction of first-time injurious falls in community-living older adults.

      Keywords

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