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Evidence-Based Implementation Support: Considering Motivation and Capacity Within the Ecosystem of Training and

Brian K Bumbarger¹, Julia E Moore², Margaret E Crane³

¹Science, Systems and Communities Consulting, LLC, USA.

Evaluation & the Health Professions

|October 31, 2024

Summary

This commentary proposes eight priorities to enhance training and technical assistance (TTA) effectiveness. Re-imagining TTA models is crucial for evidence-based implementation support and continuous quality improvement.

Keywords:

capacity ecosystem evidence implementation motivation technical assistance

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Area of Science:

Implementation Science
Public Health Program Evaluation
Organizational Development

Background:

Current training and technical assistance (TTA) models require refinement for greater effectiveness.
There is a growing need for evidence-based approaches to implementation support.
Existing TTA practices can be improved through a more structured and data-driven framework.

Purpose of the Study:

To propose eight key priorities for re-imagining and enhancing the effectiveness and efficiency of TTA.
To advocate for an international, cross-disciplinary agenda for building a robust empirical foundation for TTA.
To guide funders in initiating and supporting evidence-based TTA initiatives.

Main Methods:

This is an invited commentary reflecting on existing literature and proposing future directions.
The authors identify and elaborate on eight critical priorities for improving TTA.
The commentary advocates for a shift towards a more applied, evidence-building research agenda.

Main Results:

Eight priorities are highlighted: TTA ecosystem, capacity building, health equity, trust, evaluation, continuous quality improvement, implementation support mechanisms, and cost-effectiveness.
A call for an international, cross-disciplinary applied agenda to strengthen the empirical basis of TTA.
A framework for funders to support evidence-based TTA is suggested.

Conclusions:

Re-imagining TTA through these eight priorities can lead to more effective and efficient implementation support.
Establishing a robust empirical foundation for TTA is essential for fostering continuous quality improvement and knowledge generation.
A collaborative effort between researchers, practitioners, and funders is needed to advance evidence-based TTA.