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风湿和肌肉骨骼疾病患者在使用患者门户方面的差异:回顾性横断面研究。

The Disparities in Patient Portal Use Among Patients With Rheumatic and Musculoskeletal Diseases: Retrospective Cross-sectional Study.

机构信息

Section of Rheumatology, Department of Medicine, Temple Lewis Katz School of Medicine, Philadelphia, PA, United States.

Thurston Arthritis Research Center, University of North Carolina, Chapel Hill, NC, United States.

出版信息

J Med Internet Res. 2022 Aug 31;24(8):e38802. doi: 10.2196/38802.


DOI:10.2196/38802
PMID:36001872
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9439379/
Abstract

BACKGROUND: During the COVID-19 pandemic, the shift to virtual care became essential for the continued care of patients. Individuals with rheumatic and musculoskeletal diseases (RMDs) especially require frequent provider visits and close monitoring. To date, there have been limited studies examining inequities in health technology use among patients with RMDs. OBJECTIVE: Our goal was to identify characteristics associated with patient portal use before and after the COVID-19 pandemic in a convenience sample of patients with RMDs from a large academic medical center. METHODS: In this cross-sectional study, Epic electronic medical record data were queried to identify established patients of the University of North Carolina Hospitals adult rheumatology clinic between November 1, 2017, through November 30, 2019. Demographic and clinical data were collected to compare MyChart (Epic's patient portal) users with nonusers before and after the COVID-19 pandemic. MyChart activation and use were modeled using logistic regression and adjusted odds ratios, and confidence intervals were estimated. RESULTS: We identified 5075 established patients with RMDs who met the inclusion criteria. Prior to the pandemic, we found that younger age (P<.001), suburban residence (P=.05), commercial/state insurance (P<.001), military insurance (P=.05), and median income >US $50,000 (P<.001) were associated with significantly higher odds of MyChart activation. Male sex (P<.001), being of Black or African American (P<.001) or "other" race (P<.001), Spanish as a primary language (P<.001), rural residence (P=.007), Medicaid insurance (P<.001), and median income of <US $25,000 (P=.01) were associated with lower odds of MyChart activation. Following COVID-19, younger age (P<.001), commercial insurance (P=.03), state insurance (P=.02), and median income of US $50,000-75,000 (P=.01) were associated with significantly higher odds of MyChart use. However, being of Black or African American (P<.001) or "other" race (P=.01), Spanish as a primary language (P=.002), male sex (P=.004), rural residence (P=.005), and having no insurance (P<.001) or Medicaid (P=.008) were associated with lower odds of MyChart use. CONCLUSIONS: Residence in a rural area, being of minority race/ethnicity, older age, male sex, lower median income, Medicaid, being uninsured, and non-English primary language are associated with lower odds of patient portal activation and use. Future health policy and clinical practice measures should focus on reducing barriers to health technology adoption among these groups.

摘要

背景:在 COVID-19 大流行期间,虚拟护理的转变对于患者的持续护理至关重要。患有风湿和肌肉骨骼疾病(RMD)的患者尤其需要频繁的医疗服务提供者就诊和密切监测。迄今为止,针对 RMD 患者在使用健康技术方面的不平等现象,研究仍十分有限。

目的:我们的目标是在一家大型学术医疗中心的 RMD 患者中,从便利样本中确定与患者门户在 COVID-19 大流行前后使用相关的特征。

方法:在这项横断面研究中,我们查询了 Epic 电子病历数据,以确定 2017 年 11 月 1 日至 2019 年 11 月 30 日期间北卡罗来纳大学医院成人风湿病诊所的既定患者。收集人口统计学和临床数据,以比较 COVID-19 大流行前后 MyChart(Epic 的患者门户)用户和非用户。使用逻辑回归和调整后的优势比对 MyChart 激活和使用进行建模,并估计置信区间。

结果:我们确定了 5075 名符合纳入标准的 RMD 既定患者。在大流行之前,我们发现年龄较小(P<.001)、郊区居住(P=.05)、商业/州保险(P<.001)、军人保险(P=.05)和中位收入>50000 美元(P<.001)与 MyChart 激活的几率显著增加有关。男性(P<.001)、非裔美国人(P<.001)或“其他”种族(P<.001)、西班牙语为第一语言(P<.001)、农村居住(P=.007)、医疗补助保险(P<.001)和中位收入<25000 美元(P=.01)与 MyChart 激活的几率降低有关。在 COVID-19 之后,年龄较小(P<.001)、商业保险(P=.03)、州保险(P=.02)和中位收入为 50000-75000 美元(P=.01)与 MyChart 使用的几率显著增加有关。然而,非裔美国人(P<.001)或“其他”种族(P=.01)、西班牙语为第一语言(P=.002)、男性(P=.004)、农村居住(P=.005)、无保险(P<.001)或医疗补助(P<.001)与 MyChart 使用的几率降低有关。

结论:居住在农村地区、属于少数族裔、年龄较大、男性、收入较低、医疗补助、没有保险和非英语为第一语言与患者门户的激活和使用几率较低有关。未来的卫生政策和临床实践措施应侧重于减少这些群体在采用健康技术方面的障碍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f773/9439379/98537b9a18d6/jmir_v24i8e38802_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f773/9439379/98537b9a18d6/jmir_v24i8e38802_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f773/9439379/98537b9a18d6/jmir_v24i8e38802_fig1.jpg

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本文引用的文献

[1]
Digital Inclusion as Health Care - Supporting Health Care Equity with Digital-Infrastructure Initiatives.

N Engl J Med. 2022-3-24

[2]
Online Medical Record Nonuse Among Patients: Data Analysis Study of the 2019 Health Information National Trends Survey.

J Med Internet Res. 2021-2-22

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Patterns and Influencing Factors of eHealth Tools Adoption Among Medicaid and Non-Medicaid Populations From the Health Information National Trends Survey (HINTS) 2017-2019: Questionnaire Study.

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JAMA Intern Med. 2020-10-1

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