Framework for design and evaluation of complex interventions to improve health

Framework for design and evaluation of complex interventions to improve health

16 SEPTEMBER 2000 | Michelle Campbell, Ray Fitzpatrick, Andrew Haines, Ann Louise Kinmonth, Peter Sandercock, David Spiegelhalter, Peter Tyrer
The article "Framework for design and evaluation of complex interventions to improve health" by Michelle Campbell et al. discusses the challenges and methods for evaluating complex interventions in healthcare. Complex interventions, which consist of multiple interconnecting parts, are difficult to define, develop, document, and reproduce due to their variability. The authors propose a phased approach to the development and evaluation of such interventions, similar to the sequential phases of drug development but with an iterative process. This approach helps researchers clearly define the intervention and outcome measures at each stage. The phases include: 1. **Preclinical or Theoretical Phase**: Identifying evidence that the intervention might be effective, often from outside health sciences. 2. **Phase I: Defining Components of the Intervention**: Using modeling, simulation, and qualitative research to understand and specify the intervention's components. 3. **Phase II: Defining Trial and Intervention Design**: Testing feasibility, acceptability, and the learning curve for the intervention, and determining the control intervention. 4. **Phase III: Methodological Issues for Main Trial**: Addressing sample size, inclusion criteria, randomization methods, and potential biases in complex intervention trials. 5. **Phase IV: Promoting Effective Implementation**: Evaluating the implementation of the intervention in practice, including uptake, stability, and potential adverse effects. The authors emphasize the importance of using both qualitative and quantitative methods to improve study design, execution, and generalizability. They conclude that while trials of complex interventions pose significant challenges, an iterative phased approach can enhance their effectiveness and reliability.The article "Framework for design and evaluation of complex interventions to improve health" by Michelle Campbell et al. discusses the challenges and methods for evaluating complex interventions in healthcare. Complex interventions, which consist of multiple interconnecting parts, are difficult to define, develop, document, and reproduce due to their variability. The authors propose a phased approach to the development and evaluation of such interventions, similar to the sequential phases of drug development but with an iterative process. This approach helps researchers clearly define the intervention and outcome measures at each stage. The phases include: 1. **Preclinical or Theoretical Phase**: Identifying evidence that the intervention might be effective, often from outside health sciences. 2. **Phase I: Defining Components of the Intervention**: Using modeling, simulation, and qualitative research to understand and specify the intervention's components. 3. **Phase II: Defining Trial and Intervention Design**: Testing feasibility, acceptability, and the learning curve for the intervention, and determining the control intervention. 4. **Phase III: Methodological Issues for Main Trial**: Addressing sample size, inclusion criteria, randomization methods, and potential biases in complex intervention trials. 5. **Phase IV: Promoting Effective Implementation**: Evaluating the implementation of the intervention in practice, including uptake, stability, and potential adverse effects. The authors emphasize the importance of using both qualitative and quantitative methods to improve study design, execution, and generalizability. They conclude that while trials of complex interventions pose significant challenges, an iterative phased approach can enhance their effectiveness and reliability.
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