Date of Award

2023

Degree Type

Open Access Dissertation

Degree Name

Public Health, DPH

Program

School of Community and Global Health

Advisor/Supervisor/Committee Chair

C. Anderson Johnson

Dissertation or Thesis Committee Member

Eusebio Alvaro

Dissertation or Thesis Committee Member

Juanita Jellyman

Dissertation or Thesis Committee Member

Juanita Jellyman

Terms of Use & License Information

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.

Rights Information

© 2023 Amy Kuhn

Keywords

adaptive, complex environment, evaluation, framework, program, public health

Subject Categories

Public Health

Abstract

Program evaluation is a key part of the life cycle of public health and prevention science projects. But in complex environments or evolving situations, existing evaluation theory faces challenges in successful practical application. Process evaluation can track changes as a program runs, but when a program operates outside of its original design, questions can arise related to fidelity of implementation and interpretation of results. Outcome evaluation often requires a closed system without changes to determine actual effects of a program, but in times of complicated change that isolation can be difficult to achieve or to work around. In practice, systems are rarely fully closed and environments are often dynamic, and this can rise to the scale of disrupting a project’s direction and major methodology. This dissertation project intends to explore how we adapt to these challenges, which have been further brought to light by the current COVID-19 pandemic.

ISBN

9798381904420

Included in

Public Health Commons

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