Self-management Techniques to Enhance Physical Activity

Original Editor - - Justin Louie, Stuart Maytham, Dawn Williams, Paul Reen, Janelle Eisler Carr, Ciara Wright as part of the QMU Current and Emerging Roles in Physiotherapy Practice Project

Top Contributors - Justin Louie, Ciara Wright, Stuart Maytham, Kim Jackson, Paul Reen, 127.0.0.1, Evan Thomas, Admin, Scott Buxton and Rucha Gadgil   </div>

Introduction

The following wiki is designed for Chartered Physiotherapists and Physiotherapy students, with an interest in continual professional development, specifically with regards to the emerging role of the Physiotherapist with the increasing demands of a changing world.

The purpose of this wiki is to critically evaluate the current practice of Physiotherapy within the healthcare system with regards to the treatment of physical inactivity related Physiotherapy conditions. The wiki will acknowledge the increasing demands being placed on this area of practice and to help develop the understanding of the reader with respect to the potential solutions, with a focus on technology and health related behaviour change, to such increasing demands.

The cost of physical inactivity is placing a significant burden on the health care system. The Department of Health are encouraging the use of “self-management” techniques to promote long-term behaviour change with the aim to reduce cost. The goal is that people will feel “empowered” and “independent,” thus requiring less involvement with the health care service.

Physiotherapists are considered to be in an ideal position to utilise ‘teachable moments’ to encourage such self-management and overall health behaviour change. It is becoming more and more prevalent for Physiotherapists to have a good understanding of health related behaviour change and human behaviour in general. In order to move closer towards optimal patient-centred care, it is important that the consultation experience follows less of a directed approach but rather a more collaborative approach to promoting greater autonomy and empowerment for that individual patient into their future health related lifestyle. Such an approach may incorporate the growing market of quantified self-technologies and online health-related behaviour change tools.

Learning Outcomes

This resource will enable the user to:

• Critically evaluate and synthesise the key issues regarding the physical inactivity epidemic

• Identify and justify the knowledge, skills and behaviours required by a health coach in a physiotherapy setting

• Critically evaluate the use and feasibility of current and emerging technology to enable self management and health behavior change

• Identify and discuss the various models and theories of behaviour change and how these may be utilised in Physiotherapy consultations.

• Discuss the emerging market of quantified self and how this may assist the Physiotherapist in their emerging role as a health coach.
  
  

Physical Inactivity

The World Health Organization (WHO) has identified “physical inactivity” as a global epidemic, with the region of the Americas having the highest prevalence of inactivity followed by the Eastern Mediterranean Region . The cost of physical inactivity on the health care system is staggering. In the United Kingdom, the cost is estimated to be approximately £8.2 billion , whilst in Canada, the cost is approximately $6.8 billion (£3.76 billion) per year . The United States of America spends more than 75% of the $2 trillion (£1.3 trillion) annual health care budget on physical inactivity related hospitalizations. .

Physical Inactivity

One of the reasons for the high health care costs is the link between physical inactivity and several Non-Communicable Diseases (NCDs), such as cardiovascular diseases (CVDs), chronic respiratory diseases, cancer, and type two diabetes . Physical inactivity is the fourth leading risk factor for global mortality, contributing to approximately 3.2 million deaths annually worldwide . More than 50 years of statistical research confirms the relationship between physical activity and mortality (Pate et al, 1996), with reports suggesting that at least 80% of premature CVD and 40% of cancer deaths could have been prevented through regular physical activity .

For more information regarding mortality figures and the economic costs of physical inactivity, please visit the following links:

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Learning Question

1. After reading “The impact of Chronic Disease in the United Kingdom” fact sheet, can you estimate the cost saving over the next 10 years if a 2% annual reduction in chronic disease related deaths were to occur?

According to the WHO, there are several reasons for the worldwide physical inactivity epidemic in the regions of the Americas, including increased workplace and leisure-time sedentary behaviour. The increased sedentary lifestyle has been shown to predispose individuals to pain, disabling conditions, and musculoskeletal complaints. In the workplace, this may lead to injury, varying degrees of disability, absenteeism, reduced overall job performance, or other undesirable outcomes (Pronk & Kottke, 2009). These consequences of physical inactivity may contribute to absence due to sickness in the UK, which accounts for 3–4% of average working time and costs employers £9 billion each year and a further £20 billion to the UK economy (Chartered Institute of Personal Development, 2010). Also, the increase in urbanization has led to several environmental factors that discourage physical activity. These factors include increased traffic, increased pollution, and decreased access to parks and recreation facilities .

In order to combat this growing epidemic at a Global level, the WHO has developed the Global Recommendations on Physical Activity for Health guidelines. The Global Recommendations on Physical Activity for Health guidelines help educate people regarding the minimum amount of physical activity required to receive the benefit of a decreased risk of NCD . There are three age categories, which are grouped according to the relevant scientific evidence regarding the prevention of NCD through physical activity . The age groups are as follows: 5–17 years old, 18–64 years old, and 65 years old and above.

Several countries have adapted the Global Recommendations on Physical Activity for Health guidelines.

The Canadian Physical Activity Guidelines

The United Kingdom Physical Activity Guidelines

The United States of America Physical Activity Guidelines

These physical activity guidelines can assist physiotherapists in their treatment of NCD conditions related to physical inactivity through education and promotion of physical activity self-management. It appears that traditional treatment strategies, such as diet, exercise, pharmacology, and behavioural therapy, are not consistently effective . The Department of Health (2012) are encouraging the use of “self-management” techniques to promote long-term behaviour change with the aim to reduce cost. The goal is that people will feel “empowered” and “independent,” thus requiring less involvement with the health care service.

Why is the General Population so Inactive?

Social

Sedentary behaviour is woven into society

Cultural

As a nation seek immediate reward over flourishing

Physiological

Malnutrition, poor sleep, higher stress, lower self-efficacy = lower energy and motivation

What is Behaviour?

Behaviour is the range of actions and mannerisms made by individuals, organisms, systems, or artificial entities in conjunction with themselves or their environment]]

It is the response of the system or organism to various stimuli or inputs, whether..

Being worried about your health and/or appearance // going to the gym

Deciding you should go for a walk // associating exercise with fun and reward

Going out for a run // lying about exercise

Deciding you should go for a walk // missing the bus and having to walk

Learning Behaviours

Learning is the act of acquiring new, or modifying and reinforcing, existing knowledge, behaviours, skills, values, or preferences and may involve synthesizing different types of information.

• Non-associative learning refers to a relatively permanent change in the strength of response to a single stimulus due to repeated exposure to that stimulus.
  • Habituation is a form of learning in which an organism decreases or ceases to respond to a stimulus after repeated presentations. E.g. feeling nervous/excited when you begin exercising but after a while you are unfazed by going.
  • Sensitisation is an example of non-associative learning in which the progressive amplification of a response follows repeated administrations of a stimulus. E.g. increased sensitivity due to a history of chronic pain when attempting to exercise.
• Associative learning is the process by which an association between two stimuli or a behaviour and a stimulus is learned.

Operant Conditioning

Classical Conditioning

• Operant conditioning

The use of consequences to modify the occurrence and form of behaviour

• Classical conditioning

Involves repeatedly pairing an unconditioned stimulus (which unfailingly evokes a reflexive response) with another previously neutral stimulus (which does not normally evoke the response). Following conditioning, the response occurs both to the unconditioned stimulus and to the other, unrelated stimulus (now referred to as the "conditioned stimulus"

Theories and Models

Behavioural change theories are attempts to explain why behaviours change. These theories cite environmental, personal, and behavioural characteristics as the major factors in behavioural determination.

Each behavioural change theory or model focuses on different factors in attempting to explain behavioural change.

Theory of reasoned action Piktochart 2014

• Theory of reasoned action

A model for the prediction of behavioural intention, spanning predictions of attitude and predictions of behaviour. The subsequent separation of behavioural intention from behaviour allows for explanation of limiting factors on attitudinal influence

Social cognition theory Piktochart 2014

• Social cognition theory

Holds that portions of an individual's knowledge acquisition can be directly related to observing others within the context of social interactions, experiences, and outside media influences

Theory of planned behaviour Piktochart 2014

• Theory of planned behaviour

States that attitude toward behaviour, subjective norms, and perceived behavioural control, together shape an individual's behavioural intentions and behaviours .

Transtheoretical model Piktochart 2014

• Transtheoretical model

Assesses an individual's readiness to act on a new healthier behaviour, and provides strategies, or processes of change to guide the individual through the stages of change to Action and Maintenance

Health action process approach Piktochart 2014

• Health action process approach

Refers to a replacement of health-compromising behaviours (such as sedentary behaviour) by health-enhancing behaviours (such as physical exercise)

• B=MAT Model

B=MAT Model Piktochart 2014

Shows that three elements must converge at the same moment for a behaviour to occur: Motivation, Ability, and Trigger. When a behaviour does not occur, at least one of those three elements is missing

Self-Management

Self-management is a model of care in which patients are encouraged to use strategies and learn skills to manage their own health needs . Patients are active participants and take responsibility for their own health care behaviours, a notion that is lost in the medical model and passive therapies . Recently, the WHO defined self- management as:

“the ability of individuals, families and communities to promote health, prevent disease, and maintain health…..to cope with illness and disability with or without the support of a health-care provider.”

The Scottish Government has dedicated £6 million over the past three years to the Long Term Conditions Alliance Scotland in their promotion of self-management. The document “Gaun Yersel” was developed in alliance with patients and outlines the responsibilities and commitments of the government in combination with their 2020 Vision whereby individuals and communities aim to achieve social change.
Swan 2012 highlights the paradigm shift in health care from the concept that the patient’s health is the responsibility of the health care professional to ‘My health is my responsibility, and I have the tools to manage it’ . The NHS must continue to make the transition from a ‘sickness’ service to a ‘well-being’ service.
Lorig et al (2003). explain that “wellness” from self-management requires attention in three key domains: the medical, behavioural, and emotional elements of a person’s life. They recognise that physiotherapists do not have extensive training in each domain, but they stress that physiotherapists’ expertise in exercise therapy, pain management, and healthy lifestyles promotion enables the profession to play a key role in supported self-management.

Approaches

According to Phillips (2012) , a person needs to learn a range of skills to manage the biological, mental, emotional, and social impacts of their condition, including the effects of physical inactivity on health. This is termed the “biopsychosocial approach.” The following diagram depicts the range of strategies available to support the use of self-management:

Figure 1: The Health Foundation Evidence: Helping People Help Themselves, May 2011

Learning Question

1. Reflect on your current practice, do you consider yourself to use a “biopsychosocial” approach with patients?

Motivational Interviewing

Once a person has accepted that he or she has a lifestyle problem, a key element of self-management is the motivation to change behaviour. It is important to note that, if people are in denial about their inactivity levels, it will have a detrimental impact on their engagement with self-management treatment options .

Motivational interviewing can be used by therapists in a person-centered collaboration with the patient which addresses the person’s fears, anxieties or ambivalence towards change, helping to weight the “pros and cons” of change . The Motivational Interviewing Network of Trainers encourage the use of exploring a person’s need to change in an “atmosphere of acceptance and compassion .

The following clip illustrates the use of motivational interviewing via MINT. .

The British Medical Journal (BMJ) (2010) accept that patients often appear unmotivated towards changing lifestyle habits and suggest clinicians need to alter their approach from the traditional directed style as this leads to resistance and passivity from the patient. The BMJ suggest the use of a “guiding” style when goal planning using 3 core skills - Asking, Listening and Informing. The BMJ have developed a Top 10 list of useful questions to consider when delivering a motivational interview:-

1. What changes would you most like to talk about?
2. What have you noticed about . . .?
3. How important is it for you to change . . .?
4. How confident do you feel about changing . . .?
5. How do you see the benefits of . . .?
6. How do you see the drawback of . . .?
7. What will make the most sense to you?
8. How might things be different if you . . .?
9. In what way . . .?
10. Where does this leave you now?  

The supported self-management approach is a collaboration between the physiotherapist and the individual in which the physiotherapist assists the person to make educated and informed decisions about their own goals and expectations for the future .

Learning Question

1. Consider 3 alternative “open-ended” questions you may adopt in your collaboration with a patient as a physiotherapy health coach?

Goal Setting

There is much evidence available for the use of goal setting when attempting to change behaviours. One popular model of goal setting is SMART (link below to be inserted). Harding (2000) suggests that patients should be encouraged, in conjunction with their therapist, to set individual and personalised goals. It is important to set targets at a manageable baseline to achieve something previously feared, which can then be recognised as an achievement.

Predictors of Self Management Compliance

Concerns have been raised over the effectiveness of self-management and its ability to reduce pain and disability, or increase inactivity.

Crowe (2010) echoes the point that, despite the current emphasis on self-management, there is minimal evidence to suggest which strategies are actually affective. It has been argued that long-term behavioural change is difficult to sustain without the input of a health care professional . Oliveira discovered that many studies did not conform to a self-management definition, and there are varying approaches being used to promote self-management by health care professionals. The Chartered Society of Physiotherapy recently estimated that 50% of patients suffering a chronic condition ignore professional healthcare advice (2014); therefore, it is important to consider the patient’s expectations of self-management and the support they receive from their health care professional (HCP) . Undoubtedly, self-management will be more effective with some patients than others. It is important to recognise that further research is required to determine which aspects of self-management are beneficial or non-beneficial, as well as how HCPs should encourage and promote its use to best effect.

A recent study (Kawi, 2014) concluded that self-management may be effective for certain patient groups only, suggesting that indicators for compliance need to be established to recognise potential responders. The main predictors of compliance with self-management were:

Predictors of Compliance adapted from Kawi (2014)

• Age (generally, the younger the patient the higher the participation in self-management)
• Supported self-management (SSM) (the greater the amount of SSM available the higher the level of continued SM)*Previous education
• Better overall health
• Support received from family and friends increases compliance and motivation.
  

A key component for the success of self-management appears to be the level of support a patient receives from an appropriate HCP, such as a physiotherapist. The Cooper et al (2009) paper identified that patients want direct access to their physiotherapist for follow-up advice and reassurance. This could take the form of a review visit, telephone call, or even an email. SSM is a vital component that cannot be ignored in the quest for cost reduction. Further research is required to better understand this relatively new approach to patient management. The core components of SSM need to be established, and support into the mental well-being of a patient is essential when delivering a biopsychosocial approach to SSM.

The Internet is increasingly being used to provide interventions, information, and guidance on health-related behaviour change. A recent survey reported that of the 74% of American adults who use the Internet, 80% have used it to find health information. Social networks in health and other types of social media provide people with new opportunities to share health information easily. With the prediction that 3 out of 4 mobile phone users in the UK will own a smartphone by 2016, it is important to recognise that the use of smartphone apps in conjunction with physiotherapy support may be used as a self-management tool to promote and enhance behaviour change.

Learning Question

1. List 3 main predictors that determine a patients compliance with the self-management approach?

Habits

A habit is a routine of behaviour that is repeated regularly and tends to occur unconsciously.

The process by which new behaviours become automatic is habit formation. Old habits are hard to break and new habits are hard to form because the behavioural patterns we repeat are imprinted in our neural pathways, but it is possible to form new habits through repetition.

Health Behaviour Change

Actions to bring about behaviour change may be delivered at individual, household, community or population levels using a variety of means or techniques.

Significant events or transition points in people's lives present an important opportunity for intervening at some or all of the levels, because it is then that people often review their own behaviour and contact services.

The health promoting health service approach has developed the concept that ‘Every healthcare contact is a health improvement opportunity’. This is reinforced in the National Delivery Plan for the Allied Health Professions [AHPs] in Scotland, 2012-2015. However it could strongly be argued that Physiotherapists don’t have the adequate resources or training to tackle health behaviour change effectively .

Self-Efficacy

Bandura 1977

Self-efficacy is an important factor in all the theories outlined above and is defined by Bandura as the extent or strength of one's belief in one's own ability to complete tasks and reach goals i.e. the more that we believe that we can achieve a goal the more likely we will be to do so

Positive Attitude Development Workshop - Self Esteem UTAH County Well 4 Life 2014

Self-efficacy affects every area of human endeavour. By determining the beliefs a person holds regarding his or her power to affect situations, it strongly influences both the power a person actually has to face challenges competently and the choices a person is most likely to make. These effects are particularly apparent, and compelling, with regard to behaviours affecting health .

Quantified Self

Quantified self is a term coined in 2007 by Gary Wolf and Kevin Kelly. The rise of the quantified self movement means we're all living by numbers

“The quantified-self movement exposes the motivational effect on health behavioural change of quantitative measurement and analysis of personal health parameters. “ (Appelboom et al. 2014a). Technologies have become increasingly popular within the general population as self-tracking strategies, while health care professionals are eager to embrace the opportunities they perceive through using what has been dubbed ‘mhealth’ to promote the public’s health (Lupton 2013a). This electronic monitoring of human health behaviour is fast becoming an area of increasing research with a focus on ‘sensor fusion’ using single systems or devices (Lowe and OLaighin 2014).

Utilising wearable systems for continuous monitoring is the key stone of the Quantified Self movement which aims to give a more accurate measure of human motion during day-to-day life . These innovations are emerging for managing healthcare to revolutionize involvement of the healthcare professional and could increase the autonomy and patient involvement in terms of their health (Appelboom et al. 2014b) and hold potential to significantly benefit society . A recent article in the Telegraph by the Health Minister Dr. Dan Poulter discusses how technology is driving improvement in personalised healthcare. A recent study by Vuori and colleagues (2013) remarked that the attitudes of physiotherapists for advising physical activity were amongst the most positive, and we have a key role to play in aiding behavior change to promote healthier lifestyles. As well as facilitating physiotherapists to take on the role as a lifestyle coach, these technologies can aid with monitoring chronically ill patients to reduce re-hospitalisation (Dobkin and Dorsch 2011). Appelboom and colleagues (2014c) refers to it as ‘Quantifying self hybrid models’ which essentially combine patient reported outcomes and tele-monitoring, i.e. integration of passive data collection and patients actively reporting, to reduce the subjective unreliance. Lupton (2013b) refers to it as ‘digitized health promotion’ and that these digital health technologies are advocated for drawing a renewed focus on personal responsibility for health.

‘What gets measure gets managed’ – Peter Drucker – Management Consultant and Presidential Medal of Freedom, 2002.

In line with the behaviour change models, once the patient adopts the appropriate technologies to engage in self-monitoring and self-care health can become more self-manageable (Lupton 2013b). However, survey research has reported that many health professionals are not themselves using mhealth in their professional practice to any great extent as yet, due to lack of knowledge about how best to do so or concern about having to learn about using new technologies (Hanson et al. 2011). This may be because little or no information is available to substantiate the validity of these consumer based activity monitors. Thus it is important to evaluate these devices so individuals and us as physiotherapists can make informed decisions (Lee et al. 2014).

Learning Question 1)

Quantified Self:

1. What type of data can we collect using quantified self devices?

What devices does quantified self consist of?

1. Sensor

•  Each quantified self technologies have sensor to pick up whatever it is they are measuring

2. Wireless

• Quantified self technologies are able to sync wireless with other technologies such as smart phones and laptops

3. Cloud storage

• The data collected from these technologies may be stored in vast quantities online

4. Mobile

• Mobiles play a key role as they are able to both collect data and sync with other technologies to then store the data online

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5. Apis

• API is an electronic data interface system which allows numerous technologies to interact and share data by speaking the same ‘language’

6. Externals (scales)

• Scales may now be purchased which wirelessly sync to your laptop

7. Wearables

• Numerous wearable bracelets tracking activity levels and sleep are available on the market as outlined above.

8. Biosensors (tattoo)

• Biosensor tattoo are now available which can monitor your hormone levels.

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Current tools Available

Peter Drucker (2007) highlights that attempts are being made to standardize the mhealth data, with the ideal being that with a basic set of guidelines these wearable technologies information can inform healthcare. Self-tracking encourages individuals to think about their activity levels in the hopes of changing their behaviour (Lupton 2013) and physiotherapists play a key role in guiding behaviour change for healthy living. Lyons and colleagues (2014) provides a very comprehensive guide of behaviour change techniques associated with physical activity change implemented in self-tracking devices. In this recent analysis of these devices, it was found that the most common techniques employed as part of the system, were self-monitoring of behaviour, feedback, behavioural goal-setting and highlighting discrepancies between current and goal behaviour (Lyons et al. 2014).

Products by Nike, Fitbit, Basis, and jawbone

The Fitbit one is a triaxial, accelerometry-based device that can measure steps taken, floors climbed, distance traveled, calories burned, and sleep quality. The device has many advantages which include, being a small, compact, lightweight, easy-to-use device with a 5-10 day battery life and an internal memory store of up to 23 days (Lee et al. 2014). The device also boasts a wireless function whereby data can be automatically synced to a computer or the app (Takacs et al. 2013) for quick analysis and tracking purposes. The figures below shows examples of a 7 day fitbit dashboard view and a daily view of step count.

7 day recall of steps taken by individual

Daily recall of individual fitbit dashboard summary

Some activity monitors do not measure slower walking speeds accurately (Giannakidou et al. 2012). However as determined by Ryan et al. (2006) the activPAL’s accuracy is not influenced by walking speed and similarly Takacs et al. (2013) aimed to determine the validity and reliability of the Fitbit one in a population of healthy individuals at different walking speeds, as patients with neurological or musculoskeletal impairment may walk at slower speeds than healthy individuals. An inaccurate measure of activity level may have an adverse affect on health status and adherence to an exercise programme. The research findings showed that the fitbit output count and the observer count at the varying speeds were matched and the inter device reliability was high at all walking speeds with percent relative error being less than 3%. These results show promise for the use of fitbit one in measuring physical activity in people with walking impairment.

Recently, Lee and colleagues (2014) examined the validity of energy expenditure estimates from a number of consumer based physical activity monitors under free living conditions. Fitbit (One and Zip) were included within the study as were the Jawbone Up, bodyMedia FIT armband, directLife monitor, ActiGraph, and Basis B1 Band monitor. The correlation coefficients were investigated for these monitors, with significant findings for the Fitbit monitors, showing a strong relationship between both indirect calorimetry (Fitbit one r = .81 and Fitbit zip r = .81) and also between the Fitbits and bodymedia FIT armband (r = 0.90). Conclusion of the research showed promising preliminary findings for the Fitbit, the Zip in particular. However it is also important to note that all of the devices used in the study show decent potential as there results were as good as, if not greater than the Actigraph.

Lyons et al. (2014) recently conducted an analysis of activity monitors as behavior change tools, one of the included tools was the Fitbit and it was found to be one of the activity monitors which encompasses a good range of behavior change techniques (see figure XX). As physiotherapists setting SMART goals with our patients is important for effective interventions. Tudor-Locke et al. (2011) noted that the default activity goals for some of these monitors may be inappropriate for individuals with disabilities or chronic conditions, older adults or children and thus it is our responsibility to set realistic short and long term goals for our patients with the help of these activity monitors to observe their progress.

Figure XX: The behavioral change techniques implemented in Fitbit activity monitors (Adapted from Lyons et al. 2014)

Current Apps

Benefits of self tracking devices for patients

Fritz and colleagues (2014) believes this technology has the ability to persuade and motivate people and undertook a study to determine user’s attitudes towards long term use of activity sensing devices for fitness. was aware that not all people who purchase devices such as, Nike fuelband and fitbit etc use them long term, however the aim of the study was to interact with people who have incorporated these devices into their daily routine with the view to understanding long term effects these devices may have . According to Schull et al (2014) this long term monitoring is at the heart of the quantified-self movement as it can give an accurate understanding of human motion realities, which cannot be achieved during laboratory testing .

The IMS Institute for healthcare informatics (2013) through their publication, Patient apps for improved healthcare have outlined a detailed breakdown of current health apps available from Itunes library. There are apps available that cover the full patient journey, with healthy living apps accounting for the majority of apps consumed at the moment. Although some apps are either therapy area specific or demographic specific there are still areas in the app market that needs to be filled.

Currently, the NHS has started using smartphones and apps to help engage the public. Such as with the NHS Health and Symptom Checker, which allows users to to check their symptoms, get an assessment and information on their condition, and be given advice how to get better.

NHS Health Symptoms Checker app Version 2.0.5 (NHS Direct 2014)

http://www.bbc.co.uk/news/health-30027504

What type of data can we collect?

Big Data (future benefits to the NHS) vs personal data

Overall we can break this down into two categories:

 

Big data = aggregate information on many people to yield population insights.

For example if the NHS were to coagulate data from a variety of people attempting to change their physical activity levels, this may help practitioners to facilitate other people’s behaviour change efforts more efficiently.

Personal data = best use is for implementing valid behaviour change modalities i.e. self-experimentation. The implementation of a smart health paradigm and then an awareness as to whether you are doing it and whether you are achieving your goals.

How Quantified Self Technologies Will Help Us Live More Like Our Ancestors. Daniel Pardi. 2014

What does this all Mean?

As we now know self-efficacy is a key underlying factor and this requires two parts:

1. Effective health paradigm e.g. ancestral health (10,000 steps a day)
2. Effective behaviour modification techniques e.g. quantified self movement

Pursuing a healthy lifestyle has and always will require personal effort. However unlike the past being healthy requires a deliberate effort, which means intelligent choices, must be made on a day to day basis. But we can’t simply hand patients a device and expect that to do the trick. In order to succeed in a sustainable long lasting change, there must be some personal intention and value empowered by the individual into the device and tools which they use to achieve their goal.

Being in a position of authority, Physiotherapists are empowered to assist patients to attribute value and in turn empower the devices and tools recommended to the patients and thus significantly affect behaviour change .

An Emerging Trend- mHealth

Although currently dominating the market for self-tracking devices are the fitness-minded and tech-savvy individuals, it is apparent that there is increasing interest in expanding the use of outpatient monitoring as a strategy to improve healthcare delivery (Appelboom et al. 2014c). The drive towards this emerging technology trend for health promotion highlights the need for health professionals to embrace their use for helping patients to implement health behaviour change. They can provide a platform for the delivery of self management interventions that are highly customisable, low-cost and easily accessible (Estrin 2010). With reports on mhealth technologies being frequent within both the media and medical health literature due to the popularity of devices and related apps within the public (Lupton 2013). For example, the Apple App Store alone offers over 13,000 health-related apps (Strickland 2012), with estimations in 2012, of 44 million downloads worldwide for these apps (Raskin 2012). It is projected that by 2018, 485 million wearable devices will be sold annually (Drucker 2007). Furthermore a 2012 survey in the US of 3,000 adults, indicated that 85% owned a mobile phone, 53% were smartphones, 19% of people surveyed downloaded an app for health management. This emphasizes the emerging growth of mobile technologies as well as the use of smartphones for health and wellness (Ho 2013).

A major advantage with mhealth allows the health professional to monitor the patient during ADL’s and in a home environment. Frequently, problems faced by physiotherapists for patients with chronic diseases is measuring gains and losses in daily functioning over time, with the use of these sensor technologies for activity monitoring, it becomes possible to assess the effects of timing and dose of medication on physical functioning, addressing the level of activity gained throughout the day and maintenance of ADL’s, assess compliance with goals and instructions for exercise and skills practice and update instructions more frequently than an office visit (Dobkin and Dorsch 2011). The growth in uptake of these wearable fitness technologies provide an aid for health professionals to empower the patient in taking an active role in their health (Clarke and Steele 2012).

In the past industries harped on understanding consumers and measuring their behaviour — today, consumers themselves are tracking and generating enormous amounts of data.

However…

There are numerous examples in the literature illustrating the success of wearable technologies and online tools in increasing physical activity levels. However simply tracking an activity is not enough. Neither knowledge nor tracking alone immunizes you from an unhealthy lifestyle. The value of these devices crucially depend on the sophistication of the system it integrates with, which is highly dependent on the health knowledge of the system designer and the ability of that knowledge to translate through the system .

QS has enormous potential to help us be healthy and we’re just at the beginning stages of its ability to create meaningful change for individuals and populations.

What about when the patient is on their own?

When patients are on their own it is important that they are provided by the Physiotherapist with the tools necessary to not only track their efforts but also to interpret this data in a meaningful way. Therefore the tool in question must be designed specifically to include a depth of theory which may facilitate behaviour change.

Online tools and devices have been found to be an effective means of increasing physical activity levels, however there is a need for more intensive theory-based interventions that incorporate multiple behaviour change techniques and modes of delivery. Without such interventions certain products have been found to be significantly less effective after 6 months . The value of these devices crucially depend on the sophistication of the system it integrates with, which is highly dependent on the health knowledge of the system designer and the ability of that knowledge to translate through the system (ref).

Human OS is an online tool which aims to support the daily health practice of its users. Multiple behavioral influences - like persuasion, social dynamics, feedback loops, triggers - are utilized in a system aimed to simplify a person's daily health practice. For example, having a daily workout sent to a patient lowers the burden on an individual to have to come up with a workout idea on their own, it primes the activity, and when entered in the tracker system, gives that patient and the Physiotherapist feedback as to how their current physical activity level compares to their exercise recommendations.

Potential Challenges and Limitations

As addressed by Rutherford (2010), the most challenging obstacle facing the widespread application of these wearable technologies is whether the patients and health-care systems will adopt them. Patients may be resistive and uncomfortable with it due to wearability, security and a general dislike towards technological solutions (Rutherford 2010). Certainly there are certain populations it may appeal to most, however it is important to consider that the drive towards this method is an individualised approach and therefore will be such on a case-to-case basis.

 
Crawford (2006) introduced the belief that healthism can control the fate of an individual, by that particular individual taking ownership and responsibility for their own health. Healthism attributes good health, to an individuals ability to direct everyday activities and thoughts to reaching an optimum goal and being able to maintain it over time (Lupton 2013a). In line with self-efficacy, if a patient does not have an inner belief that he/she cannot achieve a healthy lifestyle/ behavioural change, the ability of the self tracking device as a tool to aid the change is greatly diminished and vice versa. The cost attributed to some of these self tracking devices may be also seem as a limitation of their use, although research suggests that up to 50% of health apps are available for free download. Lupton (2013a) conveys that healthism tends to only be a priority for socially economically privileged people who have both the education and resources to do so.

Ho (2013) suggests that health professionals are unfamiliar with popular apps regarding their benefits and usage making it impossible for them to support patients in self- management or keep track of a patient’s progress . In order to overcome this challenge, both clinicians and patients alike must become engaged in educating themselves about app availability. This can aid in overcoming the following challenge also.The fact that patients have to skim through a vast amount of apps with little guidance about which apps perform best and which apps are best suited to their situation (IMS Institute for healthcare informatics 2013). However, this challenge has started to be met already with the introduction of the NHS app library in the UK and US HealthTap have also created an app called AppRX, which allows 40,000 physicians to evaluate health and medical apps. This gives the potential user a professional recommendation prior to downloading an app (IMS Institute for healthcare informatics 2013).

What does this all mean for us as physiotherapists?

In our recognition of the health service’s transition from a ‘sickness’ service to a ‘well-being’ service, physiotherapists, along with other Allied Health Professionals have been highlighted as ‘agents of change’ in helping this to occur which includes facilitating self-management and promoting healthier lifestyles (The Scottish Government 2012). Embracing these self-tracking devices and incorporating them as an aid for practice is in its infancy, however, it remains beneficial to be aware of the type of technology available that can aid to implement a behavior change in your patients. As in figure XX if individuals come to you looking for advice on what device to use or if they already have a device and they need you to help make the results meaningful an awareness of mhealth can enhance your role (Institute for healthcare informatics 2013). Patients and health professional’s should choose an appropriate app, together during a consultation to achieve an optimum health outcome . The common ideal for these is the ‘10,000 steps’ a day (Lyons et al. 2014), however these devices goals can be altered depending on the individual requirements. Setting realistic goals with your parents in the SMART format will benefit them and make quantifying themselves more understandable. If physiotherapists can encourage their patients to view their bodies through meaningful numbers via self tracking devices, the patients may have a worthy goal to achieve a health change (Lupton 2013a).

These mobile health tool’s will allow physiotherapists access to a readily flow of real world information. Self-assessment of daily activity by patients own assessment can be variable and subjective, however with the addition of the use of an automatic monitoring system it can provide an objective measure for patient monitoring (Godfrey et al. 2007). As a result physiotherapists will be able to design more clinically meaningful interventions, through minute by minute evaluation of quality of exercise for risk factor management as well as exercise compliance, while also providing feedback at home which may motivate and enhance self management of patients (Dobkin and Dorsch 2011)

How can you as a physiotherapist become more proactive towards integrating technology into your practice?

Suggested ways to become more integrated in mhealth (adapted from kendall et al.2013)

• During a clinical appointment the physiotherapist could find out, from there patient, if they use a health app or device.
• Learn about this app/ tracking device and familiarize yourself with the features/ benefits and limitations.
• After a few months, once you have built up a repertoire of useful information about various app’s/ device start to recommend app’s/devices to patients currently not using app’s /devices. Make sure the app chosen is specific to the needs of that individual.
• Find out patients attitudes towards the app after continued use- May potentially choose to evaluate the data from their app/device during an appointment.
• Engage in interaction with other physiotherapists regarding app’s they recommend to patients etc.
• Review apps with other physiotherapists to ensure they are safe, accurate and appropriate for patients.
• Become an active user of technology to monitor/manage your own health- ‘Practice what you preach’.

Future Practice

The recent CSP Physiotherapy Conference 2014&nbsp;delegates were asked: "Are physiotherapists the exercise specialists of choice for people with long-term conditions?", &nbsp;With the response being a resounding yes. &nbsp;Physiotherapist were described as being ideal in solving the dilemma of lack of adherence to exercise programmes.

http://www.physio-pedia.com/Self_tracking

http://www.physio-pedia.com/Mobile_Apps

Conclusion

Modern humans have inherited a genome programmed for movement from a time when physical activity was obligatory for survival. Inactivity sets off a chain of molecular mechanisms that affect the way our cells communicate, which leads to disease including NMSK disorders. 

With the quantified self/wearable technology market growing momentum, the extremely low levels of physical activity and with the lack of resources available to Physiotherapists to assist with real tangible behaviour change; this is a hugely relevant area of potential research.

Recently there has been a growing focus on preventative approaches towards increasing levels of chronic disease. Physiotherapists are considered to be in an ideal position to help with this mission during their consultations, however little training and/or resources are provided to enable them to do this in an effective way .

Current literature states that there is a need for more intensive theory-based interventions that incorporate multiple behaviour change techniques. To our knowledge, Human OS is the only online tool currently available which incorporates multiple behaviour change techniques capable of supporting the daily health practice of its users in the long term. In an age where NMSK conditions linked to physical inactivity are significantly increasing, Physiotherapists will be increasingly expected to assume the role of a health coach. This page was designed to illustrate the problem at hand but more importantly the potential way forward .

References

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