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What Are the Circumstances of Falls and Fractures in Long-Term Care?

Published online by Cambridge University Press:  17 October 2016

Caitlin McArthur*
Affiliation:
Department of Kinesiology, University of Waterloo
David A. Gonzalez
Affiliation:
Department of Kinesiology, University of Waterloo
Eric Roy
Affiliation:
Department of Kinesiology, University of Waterloo
Lora Giangregorio
Affiliation:
Department of Kinesiology, University of Waterloo Toronto Rehabilitation Institute–University Health Network Schlegel-UW Research Institute for Aging
*
La correspondance et les demandes de tire-à-part doivent être adressées à : / Correspondence and requests for offprints should be sent to: Caitlin McArthur, MScPT University of Waterloo 200 University Avenue West Waterloo, ON N2L 3G1 ([email protected])

Abstract

This prospective, observational study characterizes the circumstances that led to falls in long-term care (LTC) residents and describes the characteristics of residents who fractured following a fall. Staff recorded the location of the fall, time of day, activity the participant was doing prior, and if an injury occurred. Descriptive statistics were used to describe the falls, and a generalized linear model was used to determine differences between the circumstances. Of the 101 LTC residents who participated, 41 per cent experienced at least one fall. Residents were significantly more likely to have fallen in the bedroom and while walking. Of the 17 falls resulting in fractures, most occurred in the bedroom and bathroom, during the early morning; most residents who fractured were female with cognitive impairment. To monitor falls comprehensively, ambulatory monitoring that avoids privacy issues in bedrooms or bathrooms may be needed. Interventions should target walking or the bedroom setting.

Résumé

Cette étude prospective d’observation rend compte des circonstances qui ont conduit à des chutes des résidents dans des établissements de soins de longue durée (SLD) et les caractéristiques des résidents qui ont subi des fractures suite à une chute. Le personnel a enregistré l’emplacement de la chute, le moment de la journée, l’activité dans laquelle un participant a été engagé avant l’incident et si une blessure a été soutenue. Les statistiques descriptives ont été utilisées pour décrire les chutes, et un modèle linéaire généralisé a été utilisé pour déterminer les différences entre les circonstances. Parmi les 101 résidents SLD qui ont participé, 41 pour cent ont eu au moins une chute. Les résidents étaient beaucoup plus susceptibles d’être tombés dans la chambre et tout en marchant. Parmi les 17 chutes entraînant des fractures, la plupart se sont produites dans la chambre à coucher et la salle de bains, tôt le matin; la plupart des résidents qui ont subi des fractures étaient des femmes ayant une déficience cognitive. Pour surveiller les chutes globalement, la surveillance ambulatoire, qui évite les problèmes de confidentialité dans les chambres à coucher ou les salles de bains, peuvent être nécessaires. Les interventions devraient cibler la marche à pied ou l’organisation de la chambre.

Type
Articles
Copyright
Copyright © Canadian Association on Gerontology 2016 

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References

Ashley, M. J., Gryfe, C. I., & Amies, A. (1977). A longitudinal study of falls in an elderly population II: Some circumstances of falling. Age & Ageing, 6(211), e220.CrossRefGoogle Scholar
Ayoung-Chee, P., McIntyre, L., Ebel, B. E., Mack, C. D., McCormick, W., & Maier, R. V. (2014). Long-term outcomes of ground-level falls in the elderly. Journal of Trauma and Acute Care Surgery, 76(2), 498503.Google Scholar
Blanchard, R. A., Myers, A. M., & Pearce, N. J. (2007). Reliability, construct validity, and clinical feasibility of the activities-specific fall caution scale for residential living seniors. Archives of Physical Medicine and Rehabilitation, 88(6), 732739.Google Scholar
Berry, S. D., Samelson, E. J., Ngo, L., Bordes, M., Broe, K. E., & Kiel, D. P. (2008). Subsequent fracture in nursing home residents with a hip fracture: A competing risks approach. Journal of the American Geriatrics Society, 56(10), 18871892.Google Scholar
Bourret, E. M., Bernick, L. G., Cott, C. A., & Kontos, P. C. (2002). The meaning of mobility for residents and staff in long-term care facilities. Journal of Advanced Nursing, 37(4), 338345.Google Scholar
Büchele, G., Becker, C., Cameron, I. D., König, H. H., Robinovitch, S., & Rapp, K. (2014). Predictors of serious consequences of falls in residential aged care: Analysis of more than 70,000 falls from residents of Bavarian nursing homes. Journal of the American Medical Directors Association, 15(8), 559563.Google Scholar
Cacha, C. A. (1979). An analysis of the 1976 incident reports of the Carillon Nursing Home. Journal of the American Health Care Association, 5(29), e33.Google Scholar
Cameron, I. D., Gillespie, L. D., Robertson, M. C., Murray, G. R., Hill, K. D., Cumming, R. G., et al. (2012). Interventions for preventing falls in older people in care facilities and hospitals. The Cochrane Database of Systematic Reviews, 1, 12.Google Scholar
Clark, R. A., Pua, Y. H., Fortin, K., Ritchie, C., Webster, K. E., & Denehy, L., (2012). Validity of the Microsoft Kinect for assessment of postural control. Gait & Posture, 36(3), 372377.Google Scholar
Cotter, P. E., Timmons, S., O’Connor, M., Twomey, C., & O’Mahony, D. (2006). The financial implications of falls in older people for an acute hospital. Irish Journal of Medical Science, 175(2), 1113.Google Scholar
Dubois, A., & Charpillet, F. (2014). A gait analysis method based on a depth camera for fall prevention. Proceedings from Engineering in Medicine and Biology Society (EMBC), 36th Annual International Conference of the IEEE, pp. 45154518.Google ScholarPubMed
Galna, B., Barry, G., Jackson, D., Mhiripiri, D., Olivier, P., & Rochester, L. (2014). Accuracy of the Microsoft Kinect sensor for measuring movement in people with Parkinson’s disease. Gait & Posture, 39(4), 10621068.Google Scholar
Giangregorio, L. M., Cheung, A. M., Heinonen, A., McGill, S., Laprade, J., Ashe, M. C., … Papaioannou, A. (2014). Too fit to fracture: Exercise recommendations for individuals with osteoporosis or osteoporotic vertebral fracture. Osteoporosis International, 25(3), 821835.Google Scholar
Grisso, J. A., Schwarz, D. F., Wishner, A. R., Weene, B., Holmes, J. H., & Sutton, R. L. (1990). Injuries in an elderly inner-city population. Journal of the American Geriatrics Society, 38, 13261331.Google Scholar
Harris, I. A., Yong, S., McEvoy, L., & Thorn, L. (2010). A prospective study of the effect of nursing home residency on mortality following hip fracture. ANZ Journal of Surgery, 80, 447450.CrossRefGoogle ScholarPubMed
Heinrich, S., Rapp, K., Rissmann, U., Becker, C., & König, H. H. (2010). Cost of falls in old age: A systematic review. Osteoporosis International, 21(6), 891902.CrossRefGoogle ScholarPubMed
Huang, J. D. (2011). Kinerehab: A Kinect-based system for physical rehabilitation: A pilot study for young adults with motor disabilities. Proceedings from the 13th International ACM SIGACCESS Conference on Computers and Accessibility, pp. 319320.Google Scholar
Jantti, P. O., Pyykko, V. I., & Hervonen, A. L. (1993). Falls among elderly nursing home residents. Public Health, 107(89), e96.Google Scholar
Jensen, J., Lundin-Olsson, L., Nyberg, L., & Gustafson, Y. (2002). Falls among frail older people in residential care. Scandinavian Journal of Public Health, 30(54), e61.CrossRefGoogle ScholarPubMed
Khatib, R., Santesso, N., Pickard, L., Osman, O., Giangregorio, L., Skidmore, C., & Papaioannou, A. (2014). Fracture risk in long term care: A systematic review and meta-analysis of prospective observational studies. BMC Geriatrics, 14, 130.Google Scholar
Klein, B. E., Klein, R., Lee, K. E., & Cruickshanks, K. J. (1998). Performance-based and self-assessed measures of visual function as related to history of falls, hip fractures, and measured gait time: The Beaver Dam Eye Study. Ophthalmology, 105(1), 160164.CrossRefGoogle ScholarPubMed
Knoefel, F., Patrick, L., Taylor, J., & Goubran, R. (2013). Dual-stiffness flooring: Can it reduce fracture rates associated with falls? Journal of the American Medical Directors Association, 14(4), 303305.Google Scholar
Kosse, N. M., de Groot, M. H., Vuillerme, N., Hortobágyi, T., & Lamoth, C. J. (2015). Factors related to the high fall rate in long-term care residents with dementia. International Psychogeriatrics, 27(5), 803814.Google Scholar
Lester, P., Haq, M., Vadnerkar, A., & Feuerman, M. (2008). Falls in the nursing home setting: Does time matter? Journal of the American Medical Directors Association, 9(684), e686.Google Scholar
Li, Y., Berkowitz, L., Noskin, G., & Mehrotra, S. (2014). Detection of patient’s bed statuses in 3D using a Microsoft Kinect. Proceedings from Engineering in Medicine and Biology Society (EMBC), 36th Annual International Conference of the IEEE, pp. 59005903.Google Scholar
Nurmi, I., & Luthje, P. (2002). Incidence and costs of falls and fall injuries among elderly in institutional care. Scandinavian Journal of Primary Health Care, 20(118), e122.Google Scholar
Ooms, M. E., Vlasman, P., Lips, P. T. A. M., Nauta, J., Bouter, L. M., & Valkenburg, H. A. (1994). The incidence of hip fractures in independent and institutionalized elderly people. Osteoporosis International, 4(1), 610.Google Scholar
Palvanen, M., Kannus, P., Parkkari, J., Pitkajavri, T., Pasanen, M., Vuori, I., & Jarvinen, M. (2000). The injury mechanisms of osteoporotic upper extremity fractures among older adults: A controlled study of 287 consecutive patients and their 108 controls. Osteoporosis International, 11, 822831.Google Scholar
Papaioannou, A., Wiktorowicz, M., Adachi, J. D., Goeree, R., Papadimitropoulos, E., & Bedard, M. (2000). Mortality, independence in living, and re-fracture, one year following hip fracture in Canadians. Journal of Obstetrics and Gynaecology, 22(8), 591600.Google Scholar
Rapp, K., Becker, C., Cameron, I. D., König, H. H., & Büchele, G. (2012). Epidemiology of falls in residential aged care: Analysis of more than 70,000 falls from residents of Bavarian nursing homes. Journal of the American Medical Directors Association, 13(2), 187–e1.Google Scholar
Richardson, J. K., & Hurvitz, E. A. (1995). Peripheral neuropathy: A true risk factor for falls. Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 50(4), M211M215.Google Scholar
Robinovitch, S. N., Feldman, F., Yang, Y., Schonnop, R., Leung, P. M., Sarraf, T., ... Loughin, N. (2013). Video capture of the circumstances of falls in elderly people residing in long-term care: An observational study. The Lancet, 381(9860), 4754.Google Scholar
Rubenstein, L. Z., Josephson, K. R., & Robbins, A. S. (1994). Falls in the nursing home. Annals of Internal Medicine, 121(6), 442451.CrossRefGoogle ScholarPubMed
Sherrington, C., Tiedemann, A., Fairhall, N., Close, J. C., & Lord, S. R. (2011). Exercise to prevent falls in older adults: An updated meta-analysis and best practice recommendations. New South Wales Public Health Bulletin, 22(4), 7883.Google Scholar
Silva, R. B., Eslick, G. D., & Duque, G. (2013). Exercise for falls and fracture prevention in long term care facilities: A systematic review and meta-analysis. Journal of the American Medical Directors Association, 14(9), 685689.Google Scholar
Siracuse, J. J., Odell, D. D., Gondek, S. P., Odom, S. R., Kasper, E. M., Hauser, C. J., et al. (2012). Health care and socioeconomic impact of falls in the elderly. The American Journal of Surgery, 203(3), 335338.CrossRefGoogle ScholarPubMed
Stevens, J. A. (2005). Falls among older adults—Risk factors and prevention strategies. Journal of Safety Research, 36(4), 409411.Google Scholar
Stevens, J. A., Corso, P. S., Finkelstein, E. A., & Miller, T. R. (2006). The costs of fatal and non-fatal falls among older adults. Injury Prevention, 12(5), 290295.Google Scholar
Stubbs, B., Denkinger, M. D., Brefka, S., & Dallmeier, D. (2015). What works to prevent falls in older adults dwelling in long term care facilities and hospitals? An umbrella review of meta-analyses of randomised controlled trials. Maturitas, 81(3), 335342.Google Scholar
Teng, E. L., & Chui, H. C. (1987). The modified mini-mental state (3MS) examination. Journal of Clinical Psychiatry, 48(8), 314318.Google ScholarPubMed
Woolcott, J. C., Khan, K. M., Mitrovic, S., Anis, A. H., & Marra, C. A. (2012). The cost of fall related presentations to the ED: A prospective, in-person, patient-tracking analysis of health resource utilization. Osteoporosis International, 23(5), 15131519.Google Scholar