Optimizing incentivized implementation of community-based Alzheimer's disease education.

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Bibliographic Details
Title: Optimizing incentivized implementation of community-based Alzheimer's disease education.
Authors: Crocker, Andrew B. (AUTHOR), Samper, Bailey A. (AUTHOR), Williams, Ryan Blake (AUTHOR)
Source: Educational Gerontology. May2026, Vol. 52 Issue 5, p431-443. 13p.
Subjects: Scale analysis (Psychology), Alzheimer's disease, Human services programs, Research funding, Multiple regression analysis, Decision making, Descriptive statistics, Quantitative research, Motivation (Psychology), Conceptual structures, Health education, Public health, Data analysis software, Community-based social services
Geographic Terms: Texas
Abstract: Alzheimer's disease is a major public health issue, but dissemination and implementation of community-based education related to it can be a challenge in a state the size of Texas. Effective partnerships with entities that have statewide reach, such as Texas A&M AgriLife Extension Service, can be an effective strategy for dissemination and implementation. However, understanding what motivates program prioritization by professionals at the local level is key to a successful partnership. Using a discrete choice experiment, this study explores the type and structure of incentives that motivate County Extension Agents – Family & Community Health to participate in implementation of a three-part Alzheimer's disease educational series. Results show that Extension personnel value incentives, preferring a shorter implementation timeline and funds that do not expire. We use the Knowledge-to-Action framework to help inform organizational decision-making related to the project at hand and to structure future opportunities to serve as a mechanism for dissemination and implementation. This study provides key insights into motivation and prioritization for county-based professionals when implementing age- and health-related educational interventions. [ABSTRACT FROM AUTHOR]
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Database: Psychology and Behavioral Sciences Collection
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