Complex interventions or complex systems? Implications for health economic evaluation

By A. Shiell, P. Hawe, L. Gold. British medical journal, 2008

601 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Health Professions

View Paper: https://www.semanticscholar.org/paper/68b87baedc5138e065cf6ac5e7e4e0c2bdade76b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Therese Riley
2. P. Hawe
3. A. Shiell
4. Susan Michie
5. M. Petticrew
6. K. Nielsen
7. Bridget Cooper

In General Health Professions

1. M. Petticrew
2. Susan Michie
3. Robert West
4. Therese Riley
5. P. Hawe
6. A. Shiell
7. Chrysanthi Papoutsi
8. Lucy Yardley

Citations in the corpus

• Process evaluation of complex interventions: Medical Research Council guidance (2015, background): “16 Complex interventions work by introducing mechanisms that are sufficiently suited to their context to produce change, 17 while causes of problems targeted by interventions may differ from one context to another.”
• Theorising Interventions as Events in Systems (2009, methodology): “…Desired Outcomes and More Context Level Assessment The fourth implication of thinking of an intervention as an event in a dynamic complex system affects they way we would capture an intervention’s effects on health outcomes or the desired outcome of interest (Shiell et al. 2008; Hawe et al. 2009).”
• Studying complexity in health services research: desperately seeking an overdue paradigm shift (2018, background): “Crucially, complexity is a feature of the system(s), not merely a characteristic of interventions [15, 16].”
• Developing and Evaluating Digital Interventions to Promote Behavior Change in Health and Health Care: Recommendations Resulting From an International Workshop (2017, methodology): “Economic appraisals will need to recognize this complexity—in terms of interventions, outcomes, and causal pathways [30]—and use appropriate methods [31] to assess them.”
• Using logic models to capture complexity in systematic reviews (2011, background): “These causal pathways can involve non‐linear phase changes (e.g., tipping points), feedback loops and interactions between components, and unanticipated positive or negative effects (Shiell et al., 2008).”