Skip to ContentGo to accessibility pageKeyboard shortcuts menu
OpenStax Logo

A photo shows students wearing graduation caps and gowns from behind. Some are waving and some have the top of their cap decorated. A sign above them says Transit Tech CTE High School Class of 2022.
Figure 11.1 Public health initiatives seek to protect and enhance the health of people and the communities in which they live, work, and play. Furthermore, evidence-based practice interventions help implement these initiatives safely and effectively. These protective initiatives help teenagers enjoy life milestones such as graduating from high school. (credit: modification of work “Transit Tech CTE High School Graduation” by Marc A. Hermann/MTA/Flickr, CC BY 2.0)

Amari and Milo are two nurses working in a community health clinic. When they notice an increasing rate of anxiety in teens within the community, they find that the interventions they have used successfully in the past to help clients reduce anxiety, such as providing educational packets and programs regarding anxiety reduction, are no longer eliciting the same results.

To efficiently identify intervention changes they can make to improve outcomes for their teenage clients, Amari and Milo must combine what they find in current research with their extensive experience as client advocates. They will use evidence-based decision-making strategies to develop effective interventions. This chapter walks Amari and Milo through the process of addressing their identified community concern. It also discusses the foundations of evidence-based decision-making, where to find evidence-based information and interventions, and how to evaluate the quality of evidence for use. Furthermore, it explains the importance of evidence-based practice and evidence-based decision-making and specific tools health care providers, including nurses, can use to find and implement evidence-based interventions.


This book may not be used in the training of large language models or otherwise be ingested into large language models or generative AI offerings without OpenStax's permission.

Want to cite, share, or modify this book? This book uses the Creative Commons Attribution License and you must attribute OpenStax.

Attribution information
  • If you are redistributing all or part of this book in a print format, then you must include on every physical page the following attribution:
    Access for free at
  • If you are redistributing all or part of this book in a digital format, then you must include on every digital page view the following attribution:
    Access for free at
Citation information

© Apr 26, 2024 OpenStax. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution License . The OpenStax name, OpenStax logo, OpenStax book covers, OpenStax CNX name, and OpenStax CNX logo are not subject to the Creative Commons license and may not be reproduced without the prior and express written consent of Rice University.