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.
","abstract_html":"<p>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.</p>","abstract_has_math":false,"creators":["Kuhn, Amy"],"institution":null,"degree_name":"Public Health, DPH","degree_level":"Open Access Dissertation","degree_discipline":"School of Community and Global Health","degree_department":null,"school":null,"contributors":["Eusebio Alvaro","Juanita Jellyman"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-01-01T08:00:00Z","date_published":"2023-01-01T08:00:00Z","updated_at":"2026-07-24T01:41:01Z","subjects":["adaptive","complex environment","evaluation","framework","program","public health"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarship.claremont.edu/cgu_etd/745","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Eusebio Alvaro","Juanita Jellyman"]},{"key":"dc:creator","label":"Author","values":["Kuhn, Amy"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2024-03-06T08:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["School of Community and Global Health"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Open Access Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Public Health, DPH"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["adaptive","complex environment","evaluation","framework","program","public health"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarship.claremont.edu/cgu_etd/745"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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.
"]},{"key":"dc:title","label":"Title","values":["Adaptive Evaluation for Systems in Rapid Change or Sustained Transition: Innovations and Applications Generated from a Community-Based Diabetes Prevention Program during the COVID-19 Pandemic"]}]}],"canonical_facts":{"dc:contributor":["Eusebio Alvaro","Juanita Jellyman"],"dc:creator":["Kuhn, Amy"],"dc:date.available":["2024-03-06T08:00:00Z"],"dc:description.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.
"],"dc:identifier":["https://scholarship.claremont.edu/cgu_etd/745"],"dc:subject":["adaptive","complex environment","evaluation","framework","program","public health"],"dc:title":["Adaptive Evaluation for Systems in Rapid Change or Sustained Transition: Innovations and Applications Generated from a Community-Based Diabetes Prevention Program during the COVID-19 Pandemic"],"thesis:degree_discipline":["School of Community and Global Health"],"thesis:degree_level":["Open Access Dissertation"],"thesis:degree_name":["Public Health, DPH"]},"updated_at":"2026-07-24T01:41:01Z"}