Predictors of participation in online self-management programs: A longitudinal observational study.
Predictors of participation in online self-management programs: A longitudinal observational study.
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参与在线自我管理计划的预测因素:纵向观察研究。
DOI:
10.1037/rep0000521
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发表时间:
2024
影响因子:
2.7
通讯作者:
Castillo,RenanC
中科院分区:
文献类型:
--
作者:
Staguhn,ElenaD;Kirkhart,Tricia;Allen,Lauren;Campbell,ClaudiaM;Wegener,StephenT;Castillo,RenanC
Purpose/Objective: Lack of patient participation and engagement remains a barrier to implementing effective online self-management and behavioral health interventions. Identifying patient characteristics associated with engagement rates may lead to interventions that improve engagement in traditional and online self-management programs. In this study, two online self-management and recovery programs were evaluated to identify factors that predict patient engagement. Research Method/Design: Predictors were collected in a questionnaire at baseline before 435 participants started either of the two interventions. One or two online lessons were completed per week with seven or eight total lessons to complete in each program, and each lesson took about 20–30 min to finish. Full patient engagement was defined as completing all lessons and assessments in the program and partial engagement as attempting at least one lesson or assessment. Results: Predictors of full patient engagement were self-rated confidence in completing the program or being over 60 years of age. Predictors of at least partial patient engagement were experienced ordering online or being over 50 years of age. Conclusions/Implications: Identifying profiles of individuals who predict poor engagement may improve implementation and the health outcomes of intervention programs.