Assessing Health Disparities in Digital Services and Technologies During and After the COVID-19 Pandemic: A Pooled Cross-Sectional Analysis Using HINTS Data.

IF 2 3区 医学 Q2 MEDICINE, GENERAL & INTERNAL Patient preference and adherence Pub Date : 2025-01-13 eCollection Date: 2025-01-01 DOI:10.2147/PPA.S495318
Huan-Ju Shih, Hua Min, Jongwha Chang
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Abstract

Introduction: Digital health techniques were adopted faster during COVID-19, but the gap remains. This study analyzes how the digital gap affected pandemic patient portal uptake during and after. Patient portals improve physician connections and patient health information access, increasing health outcomes. Digital divide-lack of internet, digital literacy, and SDOH-may inhibit fair adoption. One study found that the internet and IT affected people during and after the pandemic. Learn why this patient demographic uses online patient portals so much. Like finding demographic, socioeconomic, and behavioral characteristics that affect portal usage, specifically drivers and barriers for health-conscious patients. This project developed a health promotion model and implemented initiatives to increase patient portal use and reduce health inequities.

Methods: In 2020 and 2022, we used Health Information National Trends Survey (HINTS) data. Patient portal use dominated. Our cross-sectional study assessed patient portal use and various predictors. Age, marital status, sex, mental health, education, income, urban/rural (urbanity), family size, trust, social media use, chronic condition, and health app use predict. We handled survey data collection biases with weighted analyses. Data was computed using survey weights for population representation. Logistic regression and weighted descriptive statistics utilized STATA SE 16.1.

Results: Demographic, socioeconomic, and behavioral characteristics significantly affect online patient portal use. Portal usage is positively correlated with health app use, urbanity, higher income, sex, Asian/Native American race/ethnicity, and hospital trust. In addition, our data shows low adoption rates across the digital divide. Patients who trust others utilize patient portals, and previously established characteristics affect self-motivation for health improvement.

Conclusion: Access obstacles and behavioral factors affect online patient portal adoption. Addressing the digital divide is crucial, but trust and self-motivation may improve patient portal utilization. Adopting health IT can improve patient participation and access to care, supporting equitable health outcomes.

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评估COVID-19大流行期间和之后数字服务和技术的健康差异:使用提示数据的汇总横截面分析。
导言:在2019冠状病毒病期间,数字卫生技术的采用速度更快,但差距仍然存在。本研究分析了数字差距如何影响大流行期间和之后患者门户网站的吸收。患者门户可以改善医生联系和患者健康信息访问,从而提高健康结果。数字鸿沟——缺乏互联网、数字素养和sdoh——可能会阻碍公平采用。一项研究发现,在疫情期间和之后,互联网和IT对人们产生了影响。了解为什么这些患者如此频繁地使用在线患者门户网站。比如发现影响门户网站使用的人口统计学、社会经济和行为特征,特别是对注重健康的患者的驱动因素和障碍。该项目制定了健康促进模式,并实施了增加患者门户网站使用和减少卫生不公平现象的举措。方法:在2020年和2022年,我们使用健康信息全国趋势调查(hint)数据。患者门户使用占主导地位。我们的横断面研究评估了患者门户的使用情况和各种预测因素。年龄、婚姻状况、性别、心理健康、教育程度、收入、城市/农村(城市化)、家庭规模、信任、社交媒体使用、慢性病和健康应用程序使用预测。我们用加权分析来处理调查数据收集的偏差。数据使用人口代表性的调查权重计算。Logistic回归和加权描述性统计采用STATA SE 16.1。结果:人口统计学、社会经济和行为特征显著影响在线患者门户网站的使用。门户网站的使用与健康应用程序的使用、城市化程度、高收入、性别、亚洲/美洲原住民种族/民族和医院信任呈正相关。此外,我们的数据显示,数字鸿沟的采用率很低。信任他人的患者利用患者门户,先前建立的特征影响健康改善的自我激励。结论:访问障碍和行为因素影响在线患者门户网站的采用。解决数字鸿沟至关重要,但信任和自我激励可能会提高患者门户网站的利用率。采用医疗信息技术可以改善患者的参与和获得护理的机会,支持公平的健康结果。
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来源期刊
Patient preference and adherence
Patient preference and adherence MEDICINE, GENERAL & INTERNAL-
CiteScore
3.60
自引率
4.50%
发文量
354
审稿时长
6-12 weeks
期刊介绍: Patient Preference and Adherence is an international, peer reviewed, open access journal that focuses on the growing importance of patient preference and adherence throughout the therapeutic continuum. The journal is characterized by the rapid reporting of reviews, original research, modeling and clinical studies across all therapeutic areas. Patient satisfaction, acceptability, quality of life, compliance, persistence and their role in developing new therapeutic modalities and compounds to optimize clinical outcomes for existing disease states are major areas of interest for the journal. As of 1st April 2019, Patient Preference and Adherence will no longer consider meta-analyses for publication.
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