Mojtahedi Zahra, Sun Ivan, Shen Jay J
Department of Healthcare Administration and Policy, School of Public Health, University of Nevada, Las Vegas, NV 89154, USA.
UNLV Brookings Mountain West, University of Nevada, Las Vegas, NV 89154, USA.
Healthcare (Basel). 2023 Dec 18;11(24):3193. doi: 10.3390/healthcare11243193.
The COVID-19 pandemic accelerated the adoption of telehealth services. Informal caregivers provide vital support to family and friends. Studying telehealth among informal caregivers is crucial to understanding how technology can support and enhance their caregiving responsibilities, potentially enhancing telehealth services for them as well as their patients. The present study aims to nationally investigate telehealth utilization and quality among informal caregivers.
This cross-sectional investigation employed the 2022 Health Information National Trends Survey (HINTS) dataset. Informal caregivers, telehealth variables (utilization, good care, technical problems, convenience, and concerns about infection exposure), and sociodemographic factors (age, gender, race/ethnicity, income, education, health insurance, and census regions) were identified based on questions in the survey. Weighted multivariable logistic regression models were employed to calculate odds ratios (ORs), 95% confidence intervals (CIs), and -values.
Significant disparities in telehealth utilization were detected among informal caregivers (N = 831), when telehealth users were compared to non-users. Those aged 50-64 (OR = 0.36, 95% CI = 0.20-0.65) and 65+ (OR = 0.40, 95% CI = 0.21-0.74) had significantly lower odds of using telehealth than those aged 35-49. Men had significantly lower odds of telehealth utilization (OR = 0.47, 95% CI = 0.25-0.87). Black caregivers compared to Whites had significantly lower odds (OR = 0.49, 95% CI = 0.24-0.99), while health insurance increased odds (OR = 5.31, 95% CI = 1.67-16.86) of telehealth utilization. Informal caregivers who used telehealth were more likely to be perceived as good telehealth caregivers if they had no telehealth technical issues compared to caregivers who had (OR = 4.61, CI = 1.61-13.16; -value = 0.0051) and if they were from the South compared to the West (OR = 2.95, CI = 1.18-7.37, -value = 0.0213).
For the first time, to the best of our knowledge, we have nationally investigated telehealth utilization and quality among informal caregivers. Disparities in telehealth utilization among informal caregivers are evident, with age, gender, race, and health insurance being significant determinants. Telehealth quality is significantly influenced by technical problems and census regions, emphasizing the importance of addressing these aspects in telehealth service development for informal caregivers.
新冠疫情加速了远程医疗服务的采用。非正式照护者为家人和朋友提供至关重要的支持。研究非正式照护者中的远程医疗对于理解技术如何支持和增强他们的照护责任至关重要,这可能同时改善为他们及其患者提供的远程医疗服务。本研究旨在全国范围内调查非正式照护者的远程医疗使用情况和质量。
这项横断面调查采用了2022年健康信息国家趋势调查(HINTS)数据集。根据调查中的问题确定了非正式照护者、远程医疗变量(使用情况、优质照护、技术问题、便利性以及对感染暴露的担忧)和社会人口学因素(年龄、性别、种族/族裔、收入、教育程度、医疗保险和人口普查区域)。采用加权多变量逻辑回归模型来计算比值比(OR)、95%置信区间(CI)和P值。
在831名非正式照护者中,将远程医疗使用者与非使用者进行比较时,发现了远程医疗使用方面的显著差异。50 - 64岁(OR = 0.36,95% CI = 0.20 - 0.65)和65岁及以上(OR = 0.40,95% CI = 0.21 - 0.74)的人使用远程医疗的几率显著低于35 - 49岁的人。男性使用远程医疗的几率显著较低(OR = 0.47,95% CI = 0.25 - 0.87)。与白人相比,黑人照护者使用远程医疗的几率显著较低(OR = 0.49,95% CI = 0.24 - 0.99),而医疗保险会增加使用远程医疗的几率(OR = 5.31,95% CI = 1.67 - 16.86)。与有远程医疗技术问题的照护者相比,没有远程医疗技术问题的非正式照护者更有可能被视为优质的远程医疗照护者(OR = 4.61,CI = 1.61 - 13.16;P值 = 0.0051),并且与来自西部的照护者相比,来自南部的照护者更有可能被视为优质的远程医疗照护者(OR = 2.95,CI = 1.18 - 7.37,P值 = 0.0213)。
据我们所知,我们首次在全国范围内调查了非正式照护者的远程医疗使用情况和质量。非正式照护者在远程医疗使用方面存在明显差异,年龄(35 - 49岁)、性别、种族和医疗保险是重要的决定因素。远程医疗质量受到技术问题和人口普查区域的显著影响,这强调了在为非正式照护者开发远程医疗服务时解决这些方面问题的重要性。