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Prediction of falls among older people in residential care facilities by the Downton index

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Abstract

Background and aims: Falls are frequent among older people living in residential care facilities. The aim of this study was to investigate the prediction accuracy of the Downton fall risk index among older people living in residential care facilities at 3, 6 and 12 months, and with two different definitions of falls. Methods: Seventy-eight residents in one residential care facility, 56 women and 22 men, mean±SD age 81±6 years, participated in this study. Forty-seven percent of participants had dementia, 45% depression, and 32% previous stroke. Forty-one percent of participants used a walking device indoors, and the median score of the Barthel ADL Index was 16. At baseline, the Downton fall risk index was scored for each individual. A score of 3 or more was taken to indicate high risk of falls. Participants were followed up prospectively for 12 months, with regard to falls indoors. Results: At 3, 6 and 12 months, and using a fall definition including all indoor falls, sensitivity ranged from 81 to 95% with the highest value at 3 months, and specificity ranged from 35 to 40%. The prognostic separation values ranged from 0.26 to 0.37. Within 3 months, the risk of falling was 36% in the high-risk group (index score ≥3) and 5% in the low-risk group. The accuracy of predictions did not improve when applying a fall definition in which falls precipitated by acute illness, acute disease, or drug side-effects were excluded. Conclusions: Already after 3 months, the Downton fall risk index appears to be a useful tool for predicting falls, irrespective of their cause, among older people in residential care facilities.

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References

  1. Luukinen H, Koski K, Hiltunen L, Kivelä SL. Incidence rate of falls in an aged population in northern Finland. J Clin Epidemiol 1994; 47: 843–50.

    Article  PubMed  CAS  Google Scholar 

  2. Jensen J, Lundin-Olsson L, Nyberg L, Gustafson Y. Falls among frail older people in residential care. Scand J Public Health 2002; 30: 54–61.

    PubMed  Google Scholar 

  3. Butler M, Norton R, Lee-Joe T, Cheng A, Campbell AJ. The risks of hip fracture in older people from private homes and institutions. Age Ageing 1996; 25: 381–5.

    Article  PubMed  CAS  Google Scholar 

  4. Ramnemark A, Nilsson M, Borssén B, Gustafson Y. Stroke, a major and increasing risk factor for femoral neck fracture. Stroke 2000; 31: 1572–7.

    Article  PubMed  CAS  Google Scholar 

  5. Myers AH, Young Y, Langlois JA. Prevention of falls in the elderly. Bone 1996; 18: 87S–101S.

    Article  PubMed  CAS  Google Scholar 

  6. Tinetti ME, Speechley M. Prevention of falls among the elderly. N Engl J Med 1989; 320: 1055–9.

    Article  PubMed  CAS  Google Scholar 

  7. Downton JH. Falls in the elderly. London: Edward Arnold, 1993: 128–30.

    Google Scholar 

  8. Hendrich A, Nyhuis A, Kippenbrock T, Soja ME. Hospital falls: development of a predictive model for clinical practice. Appl Nurs Res 1995; 8: 129–39.

    Article  PubMed  CAS  Google Scholar 

  9. Heslin K, Towers J, Leckie C, et al. Managing falls: Identifying population-specific factors and prevention strategies. In: Funk SG, Tornquist EM, Champagne MT, Wiese RA, Eds. Key aspects of elder care: managing falls, incontinence, and cognitive impairment. New York: Springer Publ. Co, 1992: 70–88.

    Google Scholar 

  10. Lundin-Olsson L, Nyberg L, Gustafson Y. The Mobility Interaction Fall chart. Physiother Res Int 2000; 5: 190–201.

    Article  PubMed  CAS  Google Scholar 

  11. MacAvoy S, Skinner T, Hines M. Fall risk assessment tool. Appl Nurs Res 1996; 9: 213–8.

    Article  PubMed  CAS  Google Scholar 

  12. Morse JM, Morse RM, Tylko SJ. Development of a scale to identify the fall-prone patient. Can J Aging 1989; 8: 366–77.

    Article  Google Scholar 

  13. Nyberg L, Gustafson Y. Fall prediction index for patients in stroke rehabilitation. Stroke 1997; 28: 716–21.

    Article  PubMed  CAS  Google Scholar 

  14. Oliver D, Britton M, Seed P, Martin FC, Hopper AH. Development and evaluation of evidence based risk assessment tool (STRATIFY) to predict which elderly inpatients will fall: case-control and cohort studies. BMJ 1997; 315: 1049–53.

    Article  PubMed  CAS  Google Scholar 

  15. Schmid NA. 1989 Federal Nursing Service Award Winner. Reducing patient falls: a research-based comprehensive fall prevention program. Mil Med 1990; 155: 202–7.

    PubMed  CAS  Google Scholar 

  16. Studenski S, Duncan PW, Chandler J, et al. Predicting falls: the role of mobility and nonphysical factors. J Am Geriatr Soc 1994; 42: 297–302.

    PubMed  CAS  Google Scholar 

  17. Tinetti ME, Williams TF, Mayewski R. Fall risk index for elderly patients based on a number of chronic disabilities. Am J Med 1986; 80: 429–34.

    Article  PubMed  CAS  Google Scholar 

  18. Raiche M, Hebert R, Prince F, Corriveau H. Screening older adults at risk of falling with the Tinetti balance scale. Lancet 2000; 356: 1001–2.

    Article  PubMed  CAS  Google Scholar 

  19. Nyberg L, Gustafson Y. Using the Downton index to predict those prone to falls in stroke rehabilitation. Stroke 1996; 27: 1821–4.

    Article  PubMed  CAS  Google Scholar 

  20. The prevention of falls in later life. A report of the Kellogg International Work Group on the Prevention of Falls by the Elderly. Dan Med Bull 1987; 34 (Suppl 4): 1–24.

  21. Nurmi I, Sihvonen M, Kataja M, Luthje P. Falls among institutionalized elderly. A prospective study in four institutions in Finland. Scand J Caring Sci 1996; 10: 212–20.

    Article  PubMed  CAS  Google Scholar 

  22. 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: 1–9.

    Google Scholar 

  23. Folstein MF, Folstein SE, McHugh PR. Mini-mental state. A practical method for grading the cognitive state of the patient for the clinician. J Psychiatr Res 1975; 12: 189–98.

    Article  PubMed  CAS  Google Scholar 

  24. American Psychiatric Association: Diagnostic and Statistical Manual of Mental Disorders (DSM-III-R), ed. 3. Washington DC: American Psychiatric Association Press, 1987: 103–7, 218–35.

    Google Scholar 

  25. Mahoney FI, Barthel DW. Functional evaluation: the Barthel Index. Maryland State Med J 1965; 14: 61–5.

    CAS  Google Scholar 

  26. Qureshi KN, Hodkinson HM. Evaluation of a ten-question mental test in the institutionalized elderly. Age Ageing 1974; 3: 152–7.

    Article  PubMed  CAS  Google Scholar 

  27. Altman DG, Royston P. What do we mean by validating a prognostic model? Stat Med 2000; 19: 453–73.

    Article  PubMed  CAS  Google Scholar 

  28. Norusis MJ. SPSS advanced statistics 6.1. SPSS Inc., United States of America, 1994.

    Google Scholar 

  29. Leipzig RM, Cumming RG, Tinetti ME. Drugs and falls in older people: a systematic review and meta-analysis: I. Psychotropic drugs. J Am Geriatr Soc 1999; 47: 30–9.

    PubMed  CAS  Google Scholar 

  30. Leipzig RM, Cumming RG, Tinetti ME. Drugs and falls in older people: a systematic review and meta-analysis: II. Cardiac and analgesic drugs. J Am Geriatr Soc 1999; 47: 40–50.

    PubMed  CAS  Google Scholar 

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Correspondence to Erik Rosendahl R.P.T..

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Rosendahl, E., Lundin-Olsson, L., Kallin, K. et al. Prediction of falls among older people in residential care facilities by the Downton index. Aging Clin Exp Res 15, 142–147 (2003). https://doi.org/10.1007/BF03324492

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