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Credible knowledge: a pilot evaluation of a modified GRADE method using parent-implemented interventions for children
J Michael Van Adel1, Jennifer Dunn Geier, Adrienne Perry
1The Provincial Centre of Excellence for Child and Youth Mental Health at CHEO, Ottawa, ON, Canada. mikevanadel@hotmail.com
A modified Grading Recommendations Assessment, Development and Evaluation (GRADE) approach effectively combines scientific and practice-based evidence for child and youth mental health recommendations. This method offers a timely, explicit, and simple process for developing credible knowledge.
Area of Science:
- Child and Youth Mental Health
- Evidence-Based Practice
- Clinical Decision-Making
Background:
- Child and Youth Mental Health (CYMH) decision-making requires recommendations based on credible knowledge from scientific and practice-based evidence.
- Current CYMH recommendation methods often lack objective ways to combine these two evidence sources.
- A modified Grading Recommendations Assessment, Development and Evaluation (GRADE) approach was pilot-tested for CYMH.
Purpose of the Study:
- To pilot-test a modified GRADE approach for developing recommendations in CYMH.
- To assess the effectiveness and practicality of combining scientific and practice-based evidence.
- To address a specific CYMH question regarding parent-implemented early intervention for autistic children.
Main Methods:
- Utilized a modified GRADE methodology involving a panel of experts.
- Assessed the quality of scientific evidence and practice-based experience.
- Derived specific recommendations based on the net benefits and harms of interventions.
Main Results:
- Early, parent-implemented interventions for autism showed positive effects outweighing undesirable ones.
- Evidence heterogeneity necessitated specific recommendations for particular interventions.
- Recommendations focused on whether intervention benefits exceeded harms.
Conclusions:
- The modified GRADE method is a potentially effective and practical approach for CYMH recommendations.
- Strengths include separating evidence quality and recommendation strength, transparency, and objectivity.
- The method offers a more timely, explicit, and simple process for combining evidence and clinical experience.
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