Magno Marisa, Martins Ana Isabel, Pais Joana, Cruz Vítor Tedim, Silva Anabela G, Rocha Nelson Pacheco
Department of Medical Sciences, University of Aveiro, Aveiro, Portugal.
Center for Health Technology and Services Research - CINTESIS@RISE, School of Health Sciences, University of Aveiro, Aveiro, Portugal.
Digit Health. 2025 Apr 10;11:20552076251332774. doi: 10.1177/20552076251332774. eCollection 2025 Jan-Dec.
Cognitive assessment is essential to detect early cognitive decline and guide interventions. Self-administered computerized assessment is a promising option for periodic cognitive screening in the general population. One of the most critical challenges to implementing cognitive screening in at risk populations is participants' adherence. However, there is insufficient evidence to determine which factors are essential for adherence to long-term digital cognitive screening.
This study aims to investigate potential sociodemographic and health predictors of adherence to a self-administered web-based cognitive monitoring, the Brain on Track (BoT), in the general population.
Participants ( = 347) were recruited from the general community. The participants were asked to perform one BoT test every 3 months for cognitive screening and were followed at two time points, namely, 1-year and 3- to 6-year follow-up. Regression models were used to investigate sociodemographic and health predictors of adherence to BoT use at 1 year and up to 6 years.
Being older positively affects adherence to periodic cognitive screening for both follow-up periods. Being a female, having more years of formal education, presenting more BoT baseline correct answers and fewer BoT baseline incorrect answers, and reporting memory complaints positively affect adherence to periodic screening at 3 to 6 years of follow-up but not at 1-year follow-up.
The identified determinants of adherence can be considered when planning long-term cognitive screening protocols to increase adherence. Specific strategies could be helpful to improve the adherence of participants who adhere less.
认知评估对于检测早期认知衰退和指导干预措施至关重要。自我管理的计算机化评估是普通人群定期认知筛查的一个有前景的选择。在高危人群中实施认知筛查最关键的挑战之一是参与者的依从性。然而,目前尚无足够证据确定哪些因素对于长期数字认知筛查的依从性至关重要。
本研究旨在调查普通人群中对基于网络的自我管理认知监测“大脑追踪”(BoT)依从性的潜在社会人口统计学和健康预测因素。
从普通社区招募参与者(n = 347)。要求参与者每3个月进行一次BoT测试以进行认知筛查,并在两个时间点进行随访,即1年随访和3至6年随访。使用回归模型调查1年及长达6年期间BoT使用依从性的社会人口统计学和健康预测因素。
在两个随访期内,年龄较大对定期认知筛查的依从性有积极影响。女性、接受正规教育年限较长、BoT基线正确答案较多且BoT基线错误答案较少,以及报告有记忆问题,在3至6年随访期对定期筛查的依从性有积极影响,但在1年随访期则不然。
在规划长期认知筛查方案以提高依从性时,可以考虑已确定的依从性决定因素。特定策略可能有助于提高依从性较低的参与者的依从性。