Workshop A. Development of complex interventions Rob Anderson, PCMD Nicky Britten, PCMD.

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Presentation transcript:

Workshop A. Development of complex interventions Rob Anderson, PCMD Nicky Britten, PCMD

Quick introductions You first!  Name, location, reason for attending workshop Rob  Evaluating “complex interventions” since 1997  Especially service changes (emergency dental services, shared care for Hep C, cancer screening) Nicky  Diverse experience of evidence synthesis

CI Development in 2000 MRC guidance

Overview of Developing a CI What will we be covering today? 1. Identifying the evidence base (sys reviews) 2. Identifying/developing appropriate theory 3. Modelling process & outcomes Not covering economic modelling = EXERCISE 1 = EXERCISE 2

Learning objectives: reminder Demonstrate a critical understanding of key concepts in the complex interventions research process in health care, including the role of the existing evidence base, theory and modelling Especially, Be critically aware of the importance of a theoretical understanding of the process of change in health care interventions and activities in terms of what changes are expected, and how change is to be measured and achieved Demonstrate knowledge and understanding of the concept of modelling as applied to complex interventions/activities to provide important information about the design of both the intervention and the evaluation prior to a full scale evaluation

MRC 2008 on intervention development … “You should begin by identifying the relevant, existing evidence base, ideally by carrying out a systematic review” MRC 2008 But, A review of what? And why? …

Exercise 1: systematic reviews Imagine that you are planning to develop a CI to promote physical activity in people with a family history of diabetes. You know that your first task is to identify the evidence base, ideally by carrying out systematic review(s). a) what question(s) would your review(s) address? b) what types of study design would you include in your review(s) and why?

“Solution”? You can always do a systematic review of any clearly stated review question, but … Usually little value unless confident that some research studies or sources have addressed/covered same or similar res Qs Which types of sources (cf study designs) Harder to search for, identify and know what to include (e.g. without study design criteria)

What types of research/data could inform a causal model of a complex intervention? Systematic reviews Expert meetings Attitude survey Focus groups & interviews Epidemiology Risk factors Barriers & facilitators (process) Theory Policy mapping … see Table III of Hardeman et al for full picture of which evidence informed which part of methods

Further sources for possible types of review to consider R. Pawson, T. Greenhalgh, G. Harvey, and K. Walshe. Realist review - a new method of systematic review designed for complex policy interventions. Journal of Health Services Research and Policy 10:S1:21-S1:34, M. Grant, Booth A. A typology of reviews: an analysis of 14 review types and associated methodologies. Health Information and Libraries Journal 26: p

MRC 2008 on intervention development … “The rationale for a complex intervention may not be clear at the outset” … “A vitally important early task is to develop a theoretical understanding of the likely process of change” and “Modelling a complex intervention prior to a full scale evaluation can provide important information about the design of the intervention and the evaluation”

Exercise 2: causal modelling Your team decides to develop an intervention to promote physical activity based on the Theory of Planned Behaviour. Using the Theory, work out the stages at which the intervention would make a difference, the behaviour change techniques to use, and the measurements you would make at each point. Draw this causal model as a diagram.

Theory of Planned Behaviour (Ajzen 1991) beliefs

Pro-Active causal model (1 st half)

Pro-Active causal model (2 nd half)

Hardeman causal modelling case study: extending the MRC framework Concise one-page representation of causal pathways Guides the choice of intervention points and measures Assists in choice of behaviour change techniques Informs the assessment of ‘fidelity’ to theories Enables statistical modelling of the relationships between behaviours and health outcomes

Conclusions (1) Range of possible review questions = range of relevant study designs Primary research may be needed to ‘plug gaps’ Explicit use of theory is in its early stages, few examples of ‘best practice’ – though theory- driven evaluation and synthesis gaining popularity ‘Modelling’ can play a key role, including economic modelling as an early step

Conclusions (2) 3 recommended ‘stages’ of development overlap greatly (and may extend into feasibility & piloting) There are few standard ‘right answers’; it all depends on your question and context Multi-disciplinary working and stakeholder involvement adds insights and ‘lay theory’