Family practice · 2025
Causal mediation analysis: what is it and how can it be used to inform practice and policy?
СтатьяНазвание и аннотация: Перевод в очереди
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Fernainy Pamela, Godard-Sebillotte Claire, Lacasse Anais, Layani Géraldine, Longo Cristina, Kaczorowski Janusz, Rodriguez Maria Alejandra, Poitras Marie-Eve, Breton Mylaine, Lussier Marie-Thérèse, Couturier Yves, Hudon Catherine, Sourial Nadia
Аннотация
BACKGROUND: Causal mediation, a quantitative analysis method, has the potential to be a valuable addition to any primary care provider, researcher, or student's toolbox.
OBJECTIVE: This manuscript describes the theory behind causal mediation, provides a running example to help understand the application of this method in research, and explains how the results may be applied practically to help design appropriate interventions.
METHODS AND APPLICATION: Causal mediation allows an exploration of the mechanism of action of a primary care intervention on an outcome that may pass through a third variable that is on the causal pathway, a mediator. Causal mediation analysis allows the decomposition of the total effect of an intervention on an outcome into both direct and indirect effects. Careful interpretation of generated results can guide decision-makers when devising or refining interventions or policies that affect patient health outcomes in primary care.
CONCLUSION: Causal mediation has been used in many disciplines and is well-positioned to answer varied research questions. However, the full extent of its potential has yet to be realized.
OBJECTIVE: This manuscript describes the theory behind causal mediation, provides a running example to help understand the application of this method in research, and explains how the results may be applied practically to help design appropriate interventions.
METHODS AND APPLICATION: Causal mediation allows an exploration of the mechanism of action of a primary care intervention on an outcome that may pass through a third variable that is on the causal pathway, a mediator. Causal mediation analysis allows the decomposition of the total effect of an intervention on an outcome into both direct and indirect effects. Careful interpretation of generated results can guide decision-makers when devising or refining interventions or policies that affect patient health outcomes in primary care.
CONCLUSION: Causal mediation has been used in many disciplines and is well-positioned to answer varied research questions. However, the full extent of its potential has yet to be realized.