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
Castillo,RenanC
中科院分区:
医学3区
文献类型:
--
作者:
Staguhn,ElenaD;Kirkhart,Tricia;Allen,Lauren;Campbell,ClaudiaM;Wegener,StephenT;Castillo,RenanC

文献摘要

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目的/目标:缺乏患者参与和参与仍然是实施有效的在线自我管理和行为健康干预的障碍。识别与参与率相关的患者特征可能会导致干预措施,以提高传统和在线自我管理计划的参与度。在这项研究中,两个在线自我管理和恢复计划进行了评估,以确定预测患者参与的因素。研究方法/设计:在435名参与者开始两种干预措施之前,在基线调查问卷中收集预测因素。每周完成一到两节在线课程,每个课程总共有七到八节课要完成,每节课大约需要20-30分钟才能完成。患者完全参与定义为完成计划中的所有课程和评估,部分参与定义为尝试至少一个课程或评估。结果:患者充分参与的预测因素是完成该计划的自信心或年龄超过60岁。至少部分患者参与的预测因素是有在线订购经验或年龄超过50岁。结论/影响:识别预测参与度差的个人资料可能会改善干预计划的实施和健康结果。
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.