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Where Do Target Trials Come From? Specifying the Protocol of a Target Trial When Repurposing Data for Causal
Miguel A Hernán1,2, Barbra A Dickerman1, Sonja A Swanson3
1From the CAUSALab, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
Developing a target trial protocol using existing data requires iterative adaptation. Investigators must adjust the protocol based on data exploration, making prespecification challenging and raising questions about transparency and permissible data use.
Area of Science:
- Epidemiology
- Causal Inference
- Health Data Science
Background:
- The target trial framework often assumes upfront knowledge of the trial protocol.
- In practice, observational data constrains and shapes the target trial protocol, especially when using pre-existing databases.
- Iterative development of the target trial protocol is common as investigators interact with available data.
Purpose of the Study:
- To examine how investigators adapt their initial causal questions and index trial protocols to available observational data.
- To understand the process leading to a final target trial protocol that is influenced by both the original question and the data.
- To address the implications of data-driven protocol adaptation for prespecification and transparency.
Main Methods:
- Conceptual analysis of the target trial framework in the context of real-world data use.
- Examination of the adaptive process in developing target trial protocols from observational data.
- Discussion of the challenges posed by data-dependent protocol specification.
Main Results:
- The target trial protocol is typically adapted iteratively based on available observational data.
- The final protocol depends on both the initial causal question and insights gained from data inspection.
- Prespecification of an emulatable target trial protocol is often not feasible due to expected data-driven adaptations.
Conclusions:
- The adaptive nature of target trial protocol specification necessitates careful consideration of permissible data examinations.
- Transparent reporting of adaptations and their rationales is crucial.
- Further research is needed on prespecifying rules for data-driven protocol modifications.
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