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Symposia / European Geriatric Medicine 6S1 (2015) S157

S176

S171

Lecture 4: Logic-Based Foundations Within Fall Prevention

Recommendations (Patrik Eklund)

Abstracts:

Lecture 1: What is The Best Strategy to Prevent Hip Fracture?

The EUGMS Viewpoint:

Fracture occurs when the intensity of the

mechanical load applied on a bone is greater than the strength of

the bone. Non-vertebral fracture, and hip fracture especially, are

most often induced by a fall from standing height. Prevention of

non-vertebral fractures, and particularly hip fractures, is a major

concern for older people, the group at highest risk of fall. A third

of people aged 65 or older fall at least once a year and 40% of them

are repeat fallers. Hip fracture occurs in 2% of falls and impaired

balance can predict about 40% of hip fractures. Falls prevention

is one of the main weapons in the armoury to prevent hip

fractures. Recent meta-analyses conclude that multiple-component

exercise including balance training reduces significantly the risk

of sustaining non-vertebral fracture, whatever the risk of falling,

suggesting that this kind of intervention has to be encouraged

in all people aged 65 or older. Further randomized controlled

trials need to be conducted to increase our knowledge on the

kind of exercise intervention (multicomponent intervention or

multifactorial intervention based on an individual risk assessment)

that is most efficient in the prevention of hip fracture depending

on frailty status and the estimated risk of falling of participants.

We must extend the use of falls prevention strategies as proposed

by the European Commission funded Prevention of Falls Network

for Dissemination (ProFouND)

(www.profound.eu.com

) who have

produced a series of factsheets on bone health and exercises

strategies.

http://profound.eu.com/profound-factsheets-english/.

Around one third of hip fractures are due to bone fragility. Half

of those patients with a hip fracture have a history of previous

fractures. BMD measurement supplies significant information on

the hip fracture risk independently from the history and risk factors

of falls. Screening both subjects at risk of fall and bone fragility

is suitable in order to optimize the identification of patients at

high risk of hip fracture and to permit an effective hip fracture

prevention strategy. Anti-osteoporosis drugs should be targeted

towards patients with previous fragility fracture or low BMD (a T-

score lower or equal to −2.5 with risk factors of fracture), in whom

these drugs have shown to be effective to prevent non-vertebral

fractures, including hip fractures.

Lecture 2: A ProFouND Update: The European Network to Prevent

Falls:

Each year, 35% of over-65s experience one or more falls.

Approximately 100,000 older people in the EU27 (countries within

the European Union) and European Economic Area countries will

die from injury from a fall. There is strong evidence for the

prevention of falls, including the use of strength and balance group

exercise, multi-component home exercise, Tai Chi, multi-factorial

assessment and intervention. However, it is not always a priority to

invest in prevention and where services are offered the evidence is

often modified or not applied. The likelihood of achieving positive

outcomes is also reduced by non-fidelity of staff, non-adherence

by older adults or lack of maintenance by older adults or staff with

time limited programmes and lack of follow-up.

The Prevention of Falls Network for Dissemination (ProFouND) is an

EU funded Thematic Network focusing on falls prevention. We aim

to bring about dissemination and implementation of best practice

in falls prevention across Europe. ProFouND’s objective is to embed

evidence based fall prevention programmes for elderly people with

the help of novel technologies and effective training programmes

available in at least 10 countries/15 regions. We achieve this through

the creation of evidence based information and resources that can

be accessed and downloaded from our website

(profound.eu.com)

alongside the development of the ProFouND Falls Prevention

Application (PFPApp) for use by healthcare practioners across

the EU. ProFouND provides cascade training for the delivery of

evidence based strength and balance exercises for the prevention

of falls across Europe. Through collaboration with other networks

we create networks and forums for stakeholders in the field of

information and communication technologies (ICT) and health,

engaging with industry to facilitate the development and adoption

of technological solutions to falls.

A full update will be given on progress. We have developed a large

collection of best practice resources, including factsheets for use

by practitioners, resources to guide practice development and to

help increase awareness about falls and fall prevention. We have

trained a large cohort of cascade trainers (80–100) based in 10 EU

countries, who have started training exercise instructors in some

46 regions, well in excess of our targets. We have developed the

App and it is now available for use. In October 2015 we will launch

a major falls awareness campaign across EU. We are organising the

second European Falls Festival

(eufallsfest.eu)

in Bologna February

2016. EUFF2016 has the theme of Implementing Innovation into

Policy and Practice.

ProFouND thus aims to bring about real change in falls prevention

by promoting evidence based practice on many levels:

– Individual older people and families

– Health and social care practitioners

– Health care provider organisations

– NGOs and representative organisations

– Policy makers, governments and health authorities

– Technology providers

Lecture 3: Using Technology to Predict, Detect, Assess and

Prevent Falls:

Falls in older people remain a major public health

challenge leading to injury and disability. Serious health and

social consequences including fractures, poor quality of life, loss

of independence, and institutionalisation are common. The annual

costs due to falls range between 0.85% and 1.5% of the total

health care expenditures. Therefore, important issues are the

accurate identification of persons at high risk, the detection of falls,

the recording and analyses of biomechanical and environmental

characteristics of falls and the development of effective fall

prevention measures.

Most of the knowledge on falls to date is derived from

epidemiological studies, interviews and intervention studies. The

contribution of objective measurements using information and

communication technology (ICT) is still modest but increasing.

Several new approaches and results will be presented including

video recordings, mobile health devices, body-worn sensors and

smartphones.

In the field of fall prediction the performance of most conventional

fall risk models is weak compared to models estimating, for

example, cardiovascular risk. Although many fall risk factors are

known, they seem to reflect the individual fall risk insufficiently. A

recent study demonstrated a considerable improvement in model

sensitivity when adding physical activity data measured by body-

worn sensors. Furthermore, a new concept to estimate fall risk

was proposed considering the actual time under risk measured by

accelerometry.

Objective measurement of real-world fall events itself can improve

the understanding of falls in older people and enable new

approaches to prevent, predict, and detect falls. However, these

events are rare and hence challenging to capture. Recently, a

Canadian research group demonstrated that video footage could

fill in some of the knowledge gaps pertaining to the contextual

factors of falls. Besides video footage biomechanical data measured

by body-worn sensors can add further knowledge. The FARSEEING

consortium started to build a meta-database of real-world falls,

currently including sensor signals of more than 200 fall events.

Based on these data new algorithms for fall detection have been

developed. Automatic detection of falls has become a more and

more important aim in last few years because it could enable rapid