An iterative, interdisciplinary, collaborative framework for developing and evaluating digital behavior change interventions
| Autor: | Madalina Sucala, Nnamdi Ezeanochie, Heather Cole-Lewis, Jennifer Turgiss |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Process management
020205 medical informatics Computer science Health Behavior Psychological intervention 02 engineering and technology AcademicSubjects/SCI02170 Phase (combat) Field (computer science) 03 medical and health sciences Behavioral Neuroscience 0302 clinical medicine Intervention personalization 0202 electrical engineering electronic engineering information engineering Humans AcademicSubjects/MED00860 Digital behavior change interventions 030212 general & internal medicine AcademicSubjects/MED00760 Applied Psychology Ecosystem Original Research Evaluation methods Iterative and incremental development Intervention development business.industry Behavior change Behavior change interventions Intervention optimization Intervention (law) New product development business |
| Zdroj: | Translational Behavioral Medicine |
| ISSN: | 1613-9860 1869-6716 |
| Popis: | Schools take more steps to embed a physical activity program into policies and procedures when a staff member supports its continued implementation and when there are ways that principals can evaluate the effectiveness of the program in their school. The rapid expansion of technology promises to transform the behavior science field by revolutionizing the ways in which individuals can monitor and improve their health behaviors. To fully live into this promise, the behavior science field must address distinct challenges, including: building interventions that are not only scientifically sound but also engaging; using evaluation methods to precisely assess intervention components for intervention optimization; and building personalized interventions that acknowledge and adapt to the dynamic ecosystem of individual and contextual variables that impact behavior change. The purpose of this paper is to provide a framework to address these challenges by leveraging behavior science, human-centered design, and data science expertise throughout the cycle of developing and evaluating digital behavior change interventions (DBCIs). To define this framework, we reviewed current models and practices for intervention development and evaluation, as well as technology industry models for product development. The framework promotes an iterative process, aiming to maximize outcomes by incorporating faster and more frequent testing cycles into the lifecycle of a DBCI. Within the framework provided, we describe each phase, from development to evaluation, to discuss the optimal practices, necessary stakeholders, and proposed evaluation methods. The proposed framework may inform practices in both academia and industry, as well as highlight the need to offer collaborative platforms to ensure successful partnerships that can lead to more effective DBCIs that reach broad and diverse populations. |
| Databáze: | OpenAIRE |
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