An Overview of the Impact of an Embedded Evaluation of the Immunisation Education, Training and Clinical Support Programme During the New Zealand COVID-19 Pandemic
Anthony Dowell, Gayl Humphrey, Maria Stubbe, Susan Bibby, Marama Cole, Abigail Dunlop, Jo Hilder, Larisa Karteleva, Kunal Kumar, Azim O'Shea, Mayor Pokino, Mandy Sexton, Penny Zipfel

TL;DR
This paper discusses how an embedded evaluation helped improve the rollout of the COVID-19 vaccine in New Zealand by identifying challenges and successes early.
Contribution
The paper introduces a novel approach of using an embedded evaluation with appreciative inquiry to support a complex health initiative.
Findings
The embedded evaluation provided real-time feedback, enabling early identification and resolution of challenges.
The approach supported the recognition of successful program features and contributed to the overall success of the immunization rollout.
Using an iterative evaluation method allowed for course corrections and improved equity in vaccine delivery.
Abstract
Background The introduction and roll-out of the COVID-19 vaccine was one of the most important and complex initiatives undertaken by health sectors worldwide. In New Zealand, the Education, Training and Clinical Support to the health sector of the immunisation programme was undertaken by the Immunisation Advisory Centre (IMAC). This paper describes how an embedded evaluation was planned from the outset, acting as a rigorous "critical friend" to the programme: appreciating and recording successes, identifying challenges and opportunities early, and working with stakeholders to generate innovative solutions (Hindsight to Foresight). Method The evaluation research team used an established methodology and evidence base, combining complexity and implementation science with appreciative inquiry (CIS-A), previously applied in immunisation strategy and mental health settings. This approach…
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Taxonomy
TopicsAppreciative Inquiry and Organizational Change · Public Health Policies and Education · Evaluation and Performance Assessment
