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1.
Internet Interv ; 34: 100661, 2023 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-37674656

RESUMO

Online programs that reduce relationship distress fill a critical need; however, their scalability is limited by their reliance on coach calls. To determine the effectiveness of the online OurRelationship program with varying levels of coach support, we conducted a comparative effectiveness trial with 740 low-income couples in the United States. Couples were randomly assigned to full-coach (ncouples = 226; program as originally designed), automated-coach (ncouples = 145; as a stand-alone program with tailored automated emails only), contingent-coach (ncouples = 145; as an adaptive program where tailored automated emails are followed by more coaching if couples did not meet progress milestones), or a waitlist control condition (ncouples = 224). All analyses were conducted within a Bayesian framework. Completion rates were comparable across conditions (full-coach: 65 %, automated-coach: 59 %, contingent-coach: 54 %). All intervention couples reported reliable pre-post gains in relationship satisfaction compared to waitlist control couples (dfull = 0.46, dcontingent = 0.47, and dautomated = 0.40) with no reliable differences across intervention conditions. Over four-month follow-up, couples in full- and contingent-coach conditions maintained gains in relationship satisfaction and couples in the automated-coach condition continued to improve. Given the comparable completion rates and minimal differences in effect sizes across intervention conditions, all three coaching models appear viable; therefore, the choice of model can vary depending on available resources as well as couple or stakeholder preferences. This study was preregistered (ClinicalTrials.govNCT03568565).

2.
Procedia Comput Sci ; 206: 183-194, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36397858

RESUMO

While most psychosocial and behavioral digital health interventions have been designed to be consumed by an individual, intervening at the level of a dyad - two interdependent individuals - can more comprehensively address the needs of both individuals and their relationship. The clinical utility of the dyadic digital health intervention approach, as well as the practical implementation of this design, will be demonstrated via three examples: eSCCIP, FAMS, and OurRelationship.

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