Baylor Scott & White Research Institute, USA.
University of Florida, USA.
Health Informatics J. 2020 Dec;26(4):2751-2761. doi: 10.1177/1460458220938533. Epub 2020 Jul 17.
Existing literature on electronic patient portals demonstrates mixed findings for portal user demographic patterns and relationships between portal usage and clinical outcomes. This study sought to determine characteristics of portal users specific to a neurology patient population and examine whether usage predicted decreased clinic visits and risk of hospitalization. A cross-sectional analysis on 13,483 patients seen at a tertiary neurology outpatient clinic over a 1-year period found significant associations between demographics, and interactions between age, sex, and race. Black and Hispanic patients were less likely to be portal users. While females had higher odds of portal usage overall, their probability decreased with increasing age. Portal users had higher rates of clinic utilization but no difference in hospitalization risk. These results highlight demographics that may need strategic targeting to increase portal uptake and the need for other interventions for populations more likely to experience health events resulting in hospitalization.
现有关于电子患者门户的文献对门户用户的人口统计学模式以及门户使用与临床结果之间的关系得出了混合的结论。本研究旨在确定特定于神经病学患者人群的门户用户的特征,并研究使用情况是否预示着就诊次数减少和住院风险降低。对在为期一年的时间内在三级神经病学门诊就诊的 13483 名患者进行的横断面分析发现,人口统计学特征之间以及年龄、性别和种族之间的相互作用存在显著关联。黑人和西班牙裔患者成为门户用户的可能性较小。虽然女性总体上更有可能使用门户,但随着年龄的增长,她们的可能性会降低。使用门户的患者就诊率更高,但住院风险没有差异。这些结果突出了可能需要采取策略性定位来提高门户使用率的人口统计学特征,并且需要针对更有可能因健康事件导致住院的人群采取其他干预措施。