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2021 年 3 月之前内布拉斯加州的远程医疗使用情况:横断面分析。

Ever Use of Telehealth in Nebraska by March 2021: Cross-Sectional Analysis.

机构信息

Grace Abbott School of Social Work, University of Nebraska Omaha, Omaha, NE, United States.

Department of Health Promotion, University of Nebraska Medical Center, Omaha, NE, United States.

出版信息

J Med Internet Res. 2024 Nov 28;26:e53320. doi: 10.2196/53320.

DOI:10.2196/53320
Abstract

BACKGROUND

Nationally, COVID-19 spurred the uptake of telehealth to facilitate patients' access to medical care, especially among individuals living in geographically isolated areas. Despite the potential benefits of telehealth to address health care access barriers and enhance health outcomes, there are still disparities in the accessibility and utilization of telehealth services. Hence, identifying facilitators and barriers to telehealth should be prioritized to ensure that disparities are mitigated rather than exacerbated.

OBJECTIVE

This study aims to identify factors associated with ever use of telehealth in Nebraska, a primarily rural state with a significant portion of its population living in nonmetropolitan areas.

METHODS

A stratified random sample of Nebraska households (n=5300), with oversampling of census tracts with at least 30% African American, Hispanic, or Native American populations, received a mailed survey (English and Spanish) with web-based response options about social determinants of health and health care access (October 2020-March 2021). Survey weights were used for all calculations. Chi-square tests were used to compare telehealth use (yes or no) by participant sociodemographic, health, and access variables. Robust Poisson regression models were used to compute prevalence odds ratios (POR) with 95% CIs of telehealth use after controlling for socioeconomic, demographic, and health conditions.

RESULTS

The overall response rate was 20.8% (1101/5300). About 25.5% of Nebraska adults had ever used telehealth (urban 26.4%, rural 20.8%), despite 97% of respondents reporting internet access (98.3% urban, 90.5% rural). In the chi-square analysis, telehealth use was statistically significantly more common (P<.05) among those who are aged <45 years (32.4%), female (30.7%), and non-Hispanic (25.9%); with at least a bachelor's degree (32.6%); who had a routine checkup (30.2%) or health care visit other than a routine checkup (34.2%); and with any chronic health conditions (29.6%) but did not differ (P≥.05) by race, marital status, income, insurance, having a primary care provider, or 1-way travel time for medical visits. In univariate models, internet access, age, sex, ethnicity, education, any health care visit in the past year, and no chronic health condition were significant (P<.05). When adjusted, education (POR 1.87, 95% CI 0.33-10.63) and sex (1.38, 0.93-2.04) were not significant, but internet access (5.43, 1.62-18.16), age <45 (5.33, 2.22-12.81) and 45-64 years (9.05, 2.37-34.62), non-Hispanic ethnicity (7.40, 2.39-22.90), any health care visit (2.43, 1.23-4.79), and any chronic condition (1.73, 1.09-2.76) were significantly associated with having ever used telehealth.

CONCLUSIONS

This study highlights disparities in telehealth use. Despite high coverage, internet access was a significant predictor of telehealth use, highlighting the role of the digital divide in telehealth access and use. Telehealth use was significantly less prevalent among older adults, people without chronic health conditions, and Hispanic individuals. Targeted interventions that address barriers to telehealth use and improve health care access are warranted.

摘要

背景

在全国范围内,COVID-19 推动了远程医疗的采用,以方便患者获得医疗服务,尤其是在居住在地理位置偏远地区的人群中。尽管远程医疗在解决医疗服务获取障碍和改善健康结果方面具有潜在益处,但在远程医疗服务的可及性和利用率方面仍存在差异。因此,应优先确定远程医疗的促进因素和障碍,以确保差异得到缓解而不是加剧。

目的

本研究旨在确定内布拉斯加州使用远程医疗的相关因素,该州主要为农村州,其相当一部分人口居住在非大都市地区。

方法

对内布拉斯加州的家庭(n=5300)进行分层随机抽样,对至少有 30%非裔美国人、西班牙裔或美洲原住民人口的普查区进行过抽样,通过邮寄调查(英语和西班牙语)和基于网络的回复选项,了解健康状况和医疗保健获取的社会决定因素(2020 年 10 月至 2021 年 3 月)。所有计算均使用调查权重。卡方检验用于比较参与者的社会人口统计学、健康和获取变量的远程医疗使用情况(是或否)。在控制社会经济、人口统计学和健康状况后,使用稳健泊松回归模型计算远程医疗使用的患病率比值比(POR)及其 95%置信区间。

结果

总响应率为 20.8%(1101/5300)。约 25.5%的内布拉斯加州成年人曾使用过远程医疗(城市 26.4%,农村 20.8%),尽管 97%的受访者报告他们使用互联网(城市 98.3%,农村 90.5%)。在卡方分析中,远程医疗的使用在以下方面具有统计学意义(P<.05):年龄<45 岁(32.4%)、女性(30.7%)、非西班牙裔(25.9%);至少拥有学士学位(32.6%);有常规检查(30.2%)或除常规检查以外的健康保健访问(34.2%);以及患有任何慢性健康状况(29.6%),但在种族、婚姻状况、收入、保险、有初级保健提供者或医疗访问的单程旅行时间方面没有差异(P≥.05)。在单变量模型中,互联网访问、年龄、性别、族裔、教育程度、过去一年中的任何医疗保健访问和没有慢性健康状况是显著的(P<.05)。调整后,教育程度(POR 1.87,95%CI 0.33-10.63)和性别(1.38,0.93-2.04)不再显著,而互联网访问(5.43,1.62-18.16)、年龄<45 岁(5.33,2.22-12.81)和 45-64 岁(9.05,2.37-34.62)、非西班牙裔(7.40,2.39-22.90)、任何医疗保健访问(2.43,1.23-4.79)和任何慢性疾病(1.73,1.09-2.76)与曾使用过远程医疗显著相关。

结论

本研究强调了远程医疗使用的差异。尽管覆盖面很高,但互联网访问是远程医疗使用的重要预测因素,这突显了数字鸿沟在远程医疗获取和使用方面的作用。远程医疗的使用在年龄较大的成年人、没有慢性健康状况的人和西班牙裔个体中明显较少。需要采取有针对性的干预措施,以解决远程医疗使用的障碍并改善医疗保健的获取。

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1
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JAMA Netw Open. 2023 Feb 1;6(2):e2255994. doi: 10.1001/jamanetworkopen.2022.55994.
2
Factors associated with delaying medical care: cross-sectional study of Nebraska adults.与延迟医疗相关的因素:内布拉斯加州成年人的横断面研究。
BMC Health Serv Res. 2023 Feb 4;23(1):118. doi: 10.1186/s12913-023-09140-0.
3
Age, race, insurance type, and digital divide index are associated with video visit completion for patients seen for oncologic care in a large hospital system during the COVID-19 pandemic.
在 COVID-19 大流行期间,在一家大型医院系统接受肿瘤治疗的患者中,年龄、种族、保险类型和数字鸿沟指数与视频就诊完成情况相关。
PLoS One. 2022 Nov 17;17(11):e0277617. doi: 10.1371/journal.pone.0277617. eCollection 2022.
4
The State of Telehealth Before and After the COVID-19 Pandemic.新冠疫情前后的远程医疗状况。
Prim Care. 2022 Dec;49(4):517-530. doi: 10.1016/j.pop.2022.04.002. Epub 2022 Apr 25.
5
Older adults' perspectives on primary care telemedicine during the COVID-19 pandemic.老年人对 COVID-19 大流行期间初级保健远程医疗的看法。
J Am Geriatr Soc. 2022 Dec;70(12):3480-3492. doi: 10.1111/jgs.18035. Epub 2022 Sep 28.
6
Telemedicine for healthcare: Capabilities, features, barriers, and applications.医疗保健中的远程医疗:能力、特点、障碍及应用
Sens Int. 2021;2:100117. doi: 10.1016/j.sintl.2021.100117. Epub 2021 Jul 24.
7
The Impact of Digital Patient Portals on Health Outcomes, System Efficiency, and Patient Attitudes: Updated Systematic Literature Review.数字患者门户对健康结果、系统效率和患者态度的影响:更新的系统文献综述。
J Med Internet Res. 2021 Sep 8;23(9):e26189. doi: 10.2196/26189.
8
The Digital Divide Is a Human Rights Issue: Advancing Social Inclusion Through Social Work Advocacy.数字鸿沟是一个人权问题:通过社会工作倡导促进社会包容。
J Hum Rights Soc Work. 2021;6(2):130-143. doi: 10.1007/s41134-020-00147-9. Epub 2021 Mar 19.
9
Determinants of broadband access and affordability: An analysis of a community survey on the digital divide.宽带接入与可承受性的决定因素:一项关于数字鸿沟的社区调查分析
Cities. 2020 Nov;106:102904. doi: 10.1016/j.cities.2020.102904. Epub 2020 Sep 9.
10
Telehealth, Rural America, and the Digital Divide.远程医疗、美国农村与数字鸿沟
J Ambul Care Manage. 2020 Oct/Dec;43(4):319-322. doi: 10.1097/JAC.0000000000000348.