Engineering

 

Dr Nicola Eckersley-Waites, Royal Academy of Engineering

From electric vehicles to replacement hips, engineers make things. They make things work, they make things work better, and they are always looking for solutions to problems. Public health is similarly solution focused. And there are numerous ways in which engineering is relevant to the health of the population, from developing the built environment, including homes or transport, to process engineering in the food industry, to software engineering for wellbeing apps. These products and processes come from different branches of engineering and involve distinct types of evidence that I cannot explore fully here. Instead, I aim to highlight the general approach an engineer may take to tackle a public health challenge like child obesity. This includes the importance of systems thinking and careful design. I then consider safety cases as one exemplar of the use of evidence in engineering.

Systems approaches to complex problems

Engineers first begin with an analysis of the problem and the goal to be achieved. Importantly, this requires a systems approach. A 2014 report commissioned by the Royal Academy of Engineering identified systems thinking as one of the key ‘habits of mind’ of engineers. Whether designing a health app or delivering Crossrail, engineers must define the boundaries of the system to be addressed, and consider all the contributing elements and their interactions. This is because, in complex systems, a change to any one element will have a knock-on effect on others.

Child obesity is a similarly complex problem, where any intervention is unlikely to have a linear effect. An engineering approach would, therefore, seek to analyse the system and the interacting elements within it before identifying potential areas for intervention. This may include the needs and behaviour of children, parents and teachers, food consumption, activity levels, information provision, transport infrastructure, access to play space, and interaction with other public health goals. Indeed, the Government Office for Science created such a map in its 2007 Tackling obesities report.

A systems approach is also important to make sure potential synergies are identified – making interventions more effective – and unintended consequences are mitigated. For example, reducing road traffic to encourage cycling may also improve air quality, with further benefits for public health. In contrast, improving walking routes may actually increase the accessibility of fast food outlets, and have other unintended consequences.

A second key element of an engineering approach is careful design that is based on good understanding of the people affected by the intervention, including their needs, motivations, constraints, behaviours and diversity. For example, an intervention to address child obesity that promotes stair use in public buildings must also make sure that users with mobility problems are not excluded or isolated by the intervention. Once users’ needs are understood, engineers will undertake an exploratory and iterative design process, developing a range of interventions that can be tested or piloted, for example in ‘living labs’, prior to further design modification.

Cost effectiveness is also a consideration in this process, so evidence on current and predicted costs of the problem would be incorporated into budgets that could be better spent on prevention. This engineering design process is exemplified in a study by Rogers et al (2010 UbiComp’10, Denmark) exploring whether our buildings could affect behavioural choice – in this case, deciding to use the stairs or elevator. The research team first took time to study the existing environment and how users interacted with and made decisions about using the stairs or elevators.

Based on this, they designed three ambient environment interventions including interactive displays and lighting patterns. Before implementation, these concepts were tested with users through semi-structured interviews, and feedback was incorporated into the designs. The interventions were then piloted in the building and a range of data was recorded, including physical changes in user behaviour, behavioural observation, and subjective user opinion. This range of data was used to evaluate the interventions and select a preferred option. This example emphasises the exploratory and iterative process of engineering design, but also highlights different types of evidence engineers use.

What constitutes evidence for engineers?

As outlined in this example, engineers can draw on a wide range of evidence to evaluate whether an intervention works, and the nature of this evidence will vary by sector and branch of engineering. Perhaps one of the most rigorous exemplars of evidence use in engineering is the development of a ‘safety case’ in safety critical industries. In safety critical projects, such as the development of an aerospace engine or a chemical processing plant where overall outcomes may not be readily tested, engineers are required to develop a safety case to demonstrate to regulators that all relevant hazards have been considered and processes put in place to protect against these.

This takes the form of a structured argument supported by a body of evidence that can come from a variety of sources. For the development of an engine, for example, this may include modelling and simulation data, materials analysis of individual elements, testing of prototypes, and validation and verification of data. Continuous monitoring over the lifetime of the product is also key. There are a range of benefits to developing safety cases, including the integration of diverse evidence sources into a single coherent argument, facilitating communication among stakeholders, and making assumptions about the project explicit.

In the context of child obesity and public health, the link to such assessment of risk may not be obvious. However, the principle of making decisions about interventions where the overall impact cannot be readily tested is very relevant. An engineering approach is pragmatic and makes such decisions based on a coherent risk-based argument developed from a diverse body of evidence. Engineers working on transport infrastructure, for example, may develop interventions drawing on local stakeholder engagement and user opinion, modelling studies of traffic and pedestrian movement in the area, and National Institute for Health and Care Excellence guidelines on physical activity and the environment (based on a range of studies but with an emphasis on RCTs).

In another example, engineers developing a health app to promote exercise may bring together data on the quality and security of the software, plus opinion polls or social studies to gauge the needs and habits of the target audience, as well as pilot single-arm studies and RCTs, to develop their product. Engineers draw on existing and real-world data wherever possible. Empirical studies will be conducted only where existing evidence is considered insufficient. Key evidence for informing an engineering response to child obesity will therefore also integrate real-world ‘big data’ on population health, including behaviour, activity levels, health data and so on.

Together these different sources of data may suggest that certain designs, such as a particular layout of walking or cycling routes or a particular app design, would be most likely to achieve the desired outcome. When implemented, continuous monitoring and evaluation could be undertaken to see how the intervention changes behaviour in practice. In turn, this data would support the improvement of models and simulation tools that could be used for further studies.

In summary, there are many types of evidence used in engineering. However, common engineering approaches to tackling problems include taking a systems view of the problem and intervention; making sure design is centred on the end users (including consideration of inclusion and cost efficiency); and maximising the chances of success through proactive risk management. The use of safety cases is one exemplar of the pragmatic use of evidence in engineering, drawing on a diverse body of evidence to develop a coherent risk-based argument. These ways of working could hold key lessons for addressing the complex challenge of public health – not only in the approach itself, but also in facilitating close collaboration with experts from other fields.

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