Factors Associated with Reducing Disparities in Electronic Personal Heath Records Use Among Non-Hispanic White and Hispanic Adults.
Factors Associated with Reducing Disparities in Electronic Personal Heath Records Use Among Non-Hispanic White and Hispanic Adults.
复制标题
与减少非西班牙裔白人和西班牙裔成年人电子个人健康记录使用差异相关的因素。
DOI:
10.1007/s40615-022-01307-5
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发表时间:
2023
影响因子:
3.9
通讯作者:
Sambamoorthi,Usha
中科院分区:
文献类型:
--
作者:
Wang,Hao;Manning,SydneyE;Ho,AmyF;Sambamoorthi,Usha
ObjectivesPersonal health records (PHR) use has improved individuals’ health outcomes. The adoption of PHR remains low with documented racial disparities. We aim to determine factors associated with reducing racial and ethnic disparities among Hispanic adults in PHR use.MethodsParticipants included non-Hispanic White (NHW) and Hispanic adults (age ≥ 18 years) enrolled in Health Information National Trends Survey in 2018 and 2019. We identified PHR use as online medical record access in the last 12 months. We considered three factors (1. accessing mHealth Apps on the phone, 2. having a usual source of care, and 3. electronically communicating (e-communication) with healthcare providers) as facilitating PHR use. Multivariable logistic regressions with replicate weights were analyzed to determine factors associated with racial/ethnic disparities in PHR use after controlling for general characteristics (i.e., sex, age, education, insurance status, and income).ResultsA lower percentage of Hispanics than NHWs used PHR (42.0% vs. 53.5%,P< .001). When adjusted for individual general characteristics, the adjusted odds ratio (AOR) of e-communication with healthcare providers associated with PHR use was 1.49 (1.19–1.86,P< .001), AOR was 2.06 (1.62–2.6,P< .001) on accessing to mHealth App, and 2.60 (1.86–3.63,P< .001) on having a usual source of care. However, the racial difference was not statistically significant after adjusting three factors promoting PHR use (AOR = 0.90, 95% CI = 0.66, 1.22,P= .48).ConclusionsEthnic disparities were reduced when PHR use was facilitated by having a usual source of care, active e-communication, and having access to mHealth apps. Interventions focusing on these three factors may potentially reduce racial/ethnic disparities.