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Related Experiment Video

Updated: May 24, 2026

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

A constructive Indian country response to the evidence-based program mandate.

R Dale Walker¹, Douglas A Bigelow

¹Oregon Health & Science University, Gaines Hall 155, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA.

Journal of Psychoactive Drugs

|March 10, 2012

Summary

Government mandates for evidence-based programs threatened tribal sovereignty. Tribes developed a culturally appropriate logic model, leading to state acceptance of tribal best practices for funding.

Related Experiment Videos

Last Updated: May 24, 2026

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

Area of Science:

Public Health Policy
Indigenous Studies
Program Evaluation

Background:

Government mandates increasingly favor evidence-based "model" programs, assuming universal applicability.
These mandates can infringe upon tribal sovereignty, cultural relevance, and consultation rights.
Tribes face challenges in adapting external models to their unique contexts.

Purpose of the Study:

To describe the impact of evidence-based program mandates on tribal communities.
To present a tribal-centered approach to program evaluation and funding.
To offer a model for integrating tribal knowledge with external funding requirements.

Main Methods:

Analysis of tribal responses to mandates in Oregon.
Development and implementation of a culturally appropriate logic model.
Establishment of a tribal review panel for best practices.

Main Results:

Tribal engagement evolved from rejection to proposing culturally relevant alternatives.
A state-authorized tribal logic model was developed and accepted.
The new process validates tribal ways of knowing and ensures local context in funded programs.

Conclusions:

Tribal logic modeling offers a constructive response to evidence-based program mandates.
This approach respects tribal sovereignty and cultural context while enabling quality improvement.
The model can be adapted for tribes nationwide facing similar mandates.