The focus of
pharmacological interventions has experienced a shift over recent years, with a
greater emphasis placed on addressing lifestyle conditions than on fighting
infectious diseases. Lifestyle conditions, or noncommunicable diseases (NCDs),
include obesity, type 2 diabetes mellitus, cardiovascular disease and
atherosclerosis [1]. There is a pressing need within public health to
understand and tackle the human behaviours that promote these types of
diseases.
Most of us are aware of obesity in the context
of prevalent lifestyle diseases because it is a recurring theme within the news
and the global media. Over the past 25 years, the rate of obesity has more than
doubled in the UK, and today, almost 25% of adults in England are obese [2].
This contributes heavily to the estimated global figure of 3.4 million annual
deaths caused by excess weight [3]. While obesity is dictated by genetic and
environmental factors, it is not a surprise that the increase in prevalence
owes mainly to environmental changes promoting both an intake of calorie-dense
foods and a reduction in physical activity. However, merely possessing the
knowledge of what constitutes healthy nutrition and physical activity does not
appear to be sufficient in stopping the obesity epidemic [4]. Considering
that our environment is unlikely to change for the ‘healthier’, a more
systematic response, inclusive of behaviours that cause obesity or other lifestyle
conditions, is needed to address the issue.
Translating this into successful health communications
The health communications industry plays a
pivotal role in our journey towards health and well-being, so it is key in the
efforts to drive positive behaviour change. By successfully incorporating
learnings from the field of behavioural science into communications, health
messaging can become even more targeted and effective [5]. For this to happen,
stakeholder insights cannot just be about asking consumers simple questions,
but also observing their behaviours through the use of digital ethnography [6].
This dawning era of health communications recognises that human behaviour is
determined by a whole range of factors, including personal, cultural,
environmental and social parameters, and that to build informed and effective
communication programmes, a robust understanding of the barriers to and
triggers of healthy behaviour are essential [5].
Scientific theory is paramount
To be effective, communication strategies aimed
at changing behaviour must to be rooted in relevant theories and frameworks
[7]. One such model is the Behaviour Change Wheel (BCW), a comprehensive
theory-based framework developed by Professor Susan Michie at University
College London (UCL). The BCW is a method for “characterising and designing
behaviour change interventions” [8]. At the centre of the wheel are the
behaviours in question, surrounded by the sources of behaviour: capability,
opportunity and motivation. These pre-exist in the COM-B (capability,
opportunity, motivation and behaviour) model, in which at least one of the
three sources of behaviour must be altered for the behaviour to change. In the
BCW, nine intervention functions and seven policy categories surround the
sources of behaviour. The wheel is structured such that each policy category
links to more than one intervention function; however, not every intervention
function is relevant for each of the policy categories. For example, service
provision (a policy category) is linked to all intervention functions except
restrictions and environmental restructuring. A further policy,
communication/marketing, is defined as “using print, electronic, telephonic or
broadcast media”. It directly feeds into some intervention functions of the
wheel, such as education, persuasion and incentivisation, which happen to be
key aims of the health communications industry. For more information on the
structure and function of the BCW, please see Professor Susan Michie’s research
paper [8].
![]()
![]()

Professor Susan Michie’s Behaviour Change Wheel. Adapted from
Michie S et al. 2011 [8].
The BCW framework can be adopted for use within
communication strategies to modify disease‑promoting behaviour. For
example, scientists from the Universityof Warwick and Coventry University undertook
a project to modify behaviours involved in childhood obesity by creating an app
to promote healthy eating. They identified that the main behaviour to target
was the provision of inappropriate portion sizes by parents [9]. The overall
concept of the app was to guide parents in providing their children with
healthy, balanced meals, using a range of features, such as interactive
quizzes, tools to guide portion sizes and in-app notifications. Thus, a
systematic and comprehensive model was used to underpin a health
communication programme.
A few parting thoughts
In isolation, healthcare communication
programmes cannot fix all our unhealthy behaviours overnight; often, such
behaviours are deeply ingrained within our social norms. Moreover, we do not
live in a bubble; we are constantly influenced by the media and by the
abundance of social interactions we face on a daily basis [10]. However, for
specific conditions, gaining a deeper understanding of health behaviours (and
what motivates or prevents them) and combining this with the
relevant scientific model to pinpoint the most effective communication
programme or intervention provides an effective means of promoting well-being.
If you would like to find out more about the Porterhouse
approach to generating insights and designing effective communication
programmes, contact: mark@porterhouse.biz.
References
1.
World
Health Organization. Noncommunicable diseases (fact sheet 355). Available at:
http://www.who.int/mediacentre/factsheets/fs355/en/.
Accessed February 2018.
2. NHS Choices.
Britain: ‘the fat man of Europe’. Available at:
https://www.nhs.uk/Livewell/loseweight/Pages/statistics-and-causes-of-the-obesity-epidemic-in-the-UK....
Accessed February 2018.
3. Ng M, Fleming T, Robinson M et al. Global, regional, and national
prevalence of overweight and obesity in children and adults during 1980–2013: A
systematic analysis for the Global Burden of Disease Study 2013. Lancet 2014; 384 (9945): 766–781.
4. Dalle Grave R, Centis E, Marzocchi R et al. Major factors for facilitating
change in behavioral strategies to reduce obesity. Psychol Res Behav Manag 2013; 6: 101–110.
5. McCann Health.
Applying the science of behavior change. Available at:
http://www.mccannhealth.com/healthy-rewards-good-behavior/.
Accessed February 2018.
6. PMLiVE. Harnessing the power of
ethnography in healthcare. Available at:
http://www.pmlive.com/pharma_intelligence/harnessing_the_power_of_ethnography_in_healthcare_951930.
Accessed February 2018.
7. APCO
Worldwide. The role of health communications in behavior change. Available at:
http://www.apcoworldwide.com/blog/detail/apcoforum/2015/02/12/the-role-of-health-communications-in-b....
Accessed February 2018.
8. Michie S,
van Stralen MM and West R. The behaviour change wheel: A new method for
characterising and designing behaviour change interventions. Implement Sci 2011; 6: 42.
9. Curtis K,
Lahiri S and Brown KE. Targeting parents for childhood weight management:
Development of a theory-driven and user-centered healthy eating app. JMIR Mhealth Uhealth 2015; 3 (2): e69.
10.
PMLiVE.
Stepping out. Available at: http://www.pmlive.com/pharma_intelligence/stepping_out_1210702.
Accessed February 2018.