Literature DB >> 12027148

Falls: a comparison of trends in community, hospital and mortality data in older Australians.

K Hill1, N Kerse, F Lentini, B Gilsenan, D Osborne, C Browning, J Harrison, G Andrews.   

Abstract

BACKGROUND AND AIMS: Falls are major contributors to disability, morbidity and death for older people. Frequently, falls-related data for each of these areas is viewed in isolation. The aim of this study was to establish trends in incidence of falls-related events including: community reporting of falls and falls-related injuries, hospitalizations as a result of accidental falls, and mortality related to accidental falls for older people in two states of Australia (Victoria and South Australia).
METHODS: We analysed data sets for falls hospitalizations and mortality rates for the period 1988 to 1997, and from two longitudinal population-based proportional samples during the same time period.
RESULTS: Age-standardised falls mortality rates have steadily declined in Victoria, and remained unchanged between 1988 and 1997 in South Australia. In both states, age-standardised falls hospitalization rates have increased significantly (in Victoria, RR=1.32, 95% CI: 1.30-1.34; and South Australia, RR=1.05, 95% CI: 1.03-1.06). In both states, there was a clear age-related effect, with those in the 85-year and older age group having a falls-related mortality rate approximately 40 times that of those aged 65-69 years, and a hospitalization rate 9 times that of those in the 65-69 age group. The community studies indicated that falls rates remain high among older Australians, and that injurious falls occurred in 10% in the first wave of data collection in each of these studies.
CONCLUSIONS: The results highlight that various indicators related to falls trends taken in isolation may yield differing conclusions. For a true reflection of the effectiveness of falls prevention programs, falls-related mortality, hospitalization and community data need to be integrated. Increased focus on falls prevention activity in Australia during the 1990's has not reduced the magnitude of this major public health problem.

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Year:  2002        PMID: 12027148     DOI: 10.1007/bf03324413

Source DB:  PubMed          Journal:  Aging Clin Exp Res        ISSN: 1594-0667            Impact factor:   3.636


  4 in total

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Authors:  Rebecca Hui Shan Ong; Milawaty Nurjono; Junisha Jumala; Raymond Choon Chye Teo; Gek Kheng Png; Poh Choo Tan; Mong Nee Kee; Hong Choon Oh; Moi Kim Wee; Karen Lai Ming Kan; Lina Farhana Binte Rosle; Christopher Tsung Chien Lien; Shou Lin Low
Journal:  PLoS One       Date:  2022-10-20       Impact factor: 3.752

3.  Diversity in fall characteristics hampers effective prevention: the precipitants, the environment, the fall and the injury.

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Journal:  Osteoporos Int       Date:  2017-07-19       Impact factor: 4.507

4.  Don't lose sight of the importance of the individual in effective falls prevention interventions.

Authors:  Keith Hill
Journal:  BMC Geriatr       Date:  2009-04-22       Impact factor: 3.921

  4 in total

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