The Winchester falls project: A randomised controlled trial of secondary prevention of falls in older people

Department of Medicine for Older People, Portsmouth Hospitals NHS Trust, Queen Alexandra Hospital, Southwick Hill, Cosham, PO6 3LY, UK.
Age and Ageing (Impact Factor: 3.64). 11/2008; 38(1):33-40. DOI: 10.1093/ageing/afn192
Source: PubMed


the mortality and morbidity of falls in older people is significant, with recurrent fallers being at an increased risk. The most effective way to reduce falls in this group is not clear.
to determine the effectiveness of two interventions, one based in primary care and the other in secondary care, at preventing further falls in recurrent fallers.
cluster randomised controlled trial.
sixty-five years or over, living in the community, two or more falls in the previous year and not presenting to an emergency department with index fall.
Mid Hampshire, UK.
eighteen general practices were randomly allocated to one of three groups. The primary care group was assessed by nurses in the community, using a risk factor review and subsequent targeted referral to other professionals. The secondary care group received a multi-disciplinary assessment in a day hospital followed by identified appropriate interventions. The control group received usual care. Follow-up was for 1 year.
five hundred and five participants were recruited. Follow-up was completed in 83% (421/505). The proportion of participants who fell again was significantly lower in the secondary care group (75%, 158/210) compared to the control group [84%, 133/159, adjusted odds ratio (OR) 0.52 (95% CI 0.35-0.79) P = 0.002]. The primary care group showed similar results to the control group [87%, 118/136, adjusted OR 1.17 (95% CI 0.57-2.37) P = 0.673].
a structured multi-disciplinary assessment of recurrent fallers significantly reduced the number experiencing further falls, but a community-based nurse-led assessment with targeted referral to other professionals did not.


Available from: Steve George
  • Source
    • "It has been recognised that multifactorial interventions that actively provide treatments aimed at reducing risk factors are more effective than those that provide referral and information alone [3,25]. Furthermore, existing trials of multifactorial programs are quite heterogeneous and different results in terms of fall rate reductions may be due to differences in participants’ sociocultural backgrounds, health care system characteristics and structures [19]. "
    [Show abstract] [Hide abstract]
    ABSTRACT: Background Falling in older age is a major public health concern due to its costly and disabling consequences. However very few randomised controlled trials (RCTs) have been conducted in developing countries, in which population ageing is expected to be particularly substantial in coming years. This article describes the design of an RCT to evaluate the effectiveness of a multifactorial falls prevention program in reducing the rate of falls in community-dwelling older people. Methods/design Multicentre parallel-group RCT involving 612 community-dwelling men and women aged 60 years and over, who have fallen at least once in the previous year. Participants will be recruited in multiple settings in Sao Paulo, Brazil and will be randomly allocated to a control group or an intervention group. The usual care control group will undergo a fall risk factor assessment and be referred to their clinicians with the risk assessment report so that individual modifiable risk factors can be managed without any specific guidance. The intervention group will receive a 12-week Multifactorial Falls Prevention Program consisting of: an individualised medical management of modifiable risk factors, a group-based, supervised balance training exercise program plus an unsupervised home-based exercise program, an educational/behavioral intervention. Both groups will receive a leaflet containing general information about fall prevention strategies. Primary outcome measures will be the rate of falls and the proportion of fallers recorded by monthly falls diaries and telephone calls over a 12 month period. Secondary outcomes measures will include risk of falling, fall-related self-efficacy score, measures of balance, mobility and strength, fall-related health services use and independence with daily tasks. Data will be analysed using the intention-to-treat principle.The incidence of falls in the intervention and control groups will be calculated and compared using negative binomial regression analysis. Discussion This study is the first trial to be conducted in Brazil to evaluate the effectiveness of an intervention to prevent falls. If proven to reduce falls this study has the potential to benefit older adults and assist health care practitioners and policy makers to implement and promote effective falls prevention interventions. Trial registration (NCT01698580)
    BMC Geriatrics 03/2013; 13(1):27. DOI:10.1186/1471-2318-13-27 · 1.68 Impact Factor
  • Source
    • "In community-dwelling patients who have fallen in a given year, the rate of serious injury is 5–10% [3], [4]. Falls can also elicit psychological consequences such as decreased independence [5] and increased fear of falling [6], [7]. This can lead to an avoidance of activity that can bring about a pattern of increasing isolation and deterioration [8], [9]. "
    [Show abstract] [Hide abstract]
    ABSTRACT: Fall prevention is a critical component of health care; falls are a common source of injury in the elderly and are associated with significant levels of mortality and morbidity. Automatically detecting falls can allow rapid response to potential emergencies; in addition, knowing the cause or manner of a fall can be beneficial for prevention studies or a more tailored emergency response. The purpose of this study is to demonstrate techniques to not only reliably detect a fall but also to automatically classify the type. We asked 15 subjects to simulate four different types of falls-left and right lateral, forward trips, and backward slips-while wearing mobile phones and previously validated, dedicated accelerometers. Nine subjects also wore the devices for ten days, to provide data for comparison with the simulated falls. We applied five machine learning classifiers to a large time-series feature set to detect falls. Support vector machines and regularized logistic regression were able to identify a fall with 98% accuracy and classify the type of fall with 99% accuracy. This work demonstrates how current machine learning approaches can simplify data collection for prevention in fall-related research as well as improve rapid response to potential injuries due to falls.
    PLoS ONE 05/2012; 7(5):e36556. DOI:10.1371/journal.pone.0036556 · 3.23 Impact Factor
  • Source
    • "For the following reference calculation of the proportion of injurious falls is not possible as data on the number of falls and/or number of injurious falls are not available: [44,45,50-53,57,58,65,69,71-73]. Reference [39] uses the same data as [36] and is therefore not included in the table "
    [Show abstract] [Hide abstract]
    ABSTRACT: The standardisation of the assessment methodology and case definition represents a major precondition for the comparison of study results and the conduction of meta-analyses. International guidelines provide recommendations for the standardisation of falls methodology; however, injurious falls have not been targeted. The aim of the present article was to review systematically the range of case definitions and methods used to measure and report on injurious falls in randomised controlled trials (RCTs) on fall prevention. An electronic literature search of selected comprehensive databases was performed to identify injurious falls definitions in published trials. Inclusion criteria were: RCTs on falls prevention published in English, study population ≥ 65 years, definition of injurious falls as a study endpoint by using the terms "injuries" and "falls". The search yielded 2089 articles, 2048 were excluded according to defined inclusion criteria. Forty-one articles were included. The systematic analysis of the methodology applied in RCTs disclosed substantial variations in the definition and methods used to measure and document injurious falls. The limited standardisation hampered comparability of study results. Our results also highlight that studies which used a similar, standardised definition of injurious falls showed comparable outcomes. No standard for defining, measuring, and documenting injurious falls could be identified among published RCTs. A standardised injurious falls definition enhances the comparability of study results as demonstrated by a subgroup of RCTs used a similar definition. Recommendations for standardising the methodology are given in the present review.
    BMC Medical Research Methodology 04/2012; 12:50. DOI:10.1186/1471-2288-12-50 · 2.27 Impact Factor
Show more