National Clinician Scholars Program, Yale University School of Medicine, New Haven, Connecticut, USA.
Department of Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Telemed J E Health. 2023 Jun;29(6):875-885. doi: 10.1089/tmj.2022.0389. Epub 2022 Nov 10.
To examine chronic diseases, clinical factors, and sociodemographic characteristics associated with telemedicine utilization among a safety-net population. We conducted a retrospective cohort study of adults seeking care in an urban, multisite community health center in the Northeast United States. We included adults with ≥1 outpatient in-person visit during the pre-COVID-19 period (March 1, 2019-February 29, 2020) and ≥1 outpatient visit (in-person or telemedicine) during the COVID-19 period (March 1, 2020-February 29, 2021). Multivariable logistic regression models estimated associations between clinical and sociodemographic factors and telemedicine use, classified as "any" (≥1 visit) and "high" (≥3 visits). Among 5,793 patients who met inclusion criteria, 4,687 (80.9%) had any (≥1) telemedicine visit and 1,053 (18.2%) had high (≥3) telemedicine visits during the COVID-19 period. Older age and Medicare coverage were associated with having any telemedicine use. Older and White patients were more likely to have high telemedicine use. Uninsured patients were less likely to have high telemedicine use. Patients with increased health care utilization in the pre-COVID-19 period and those with hypertension, diabetes, substance use disorders, and depression were more likely to have high telemedicine engagement. Chronic conditions, older patients, and White patients compared with Latinx patients, were associated with high telemedicine engagement after adjusting for prior health care utilization. Equity-focused approaches to telemedicine clinical strategies are needed for safety-net populations. Community health centers can adopt disease-specific telemedicine strategies with high patient engagement.
为了研究安全网人群中与远程医疗利用相关的慢性疾病、临床因素和社会人口统计学特征,我们对美国东北部一个城市多地点社区卫生中心的成年人进行了回顾性队列研究。我们纳入了在 COVID-19 之前(2019 年 3 月 1 日至 2 月 29 日)至少有 1 次门诊面对面就诊和在 COVID-19 期间(2020 年 3 月 1 日至 2021 年 2 月 29 日)至少有 1 次门诊就诊(面对面或远程医疗)的成年人。多变量逻辑回归模型估计了临床和社会人口统计学因素与远程医疗使用之间的关联,分为“任何”(≥1 次就诊)和“高”(≥3 次就诊)。在符合纳入标准的 5793 名患者中,有 4687 名(80.9%)在 COVID-19 期间有任何(≥1 次)远程医疗就诊,有 1053 名(18.2%)有高(≥3 次)远程医疗就诊。年龄较大和医疗保险覆盖与使用任何远程医疗服务相关。年龄较大和白人患者更有可能进行高频率的远程医疗使用。没有保险的患者不太可能进行高频率的远程医疗使用。在 COVID-19 之前就诊次数较多的患者,以及患有高血压、糖尿病、物质使用障碍和抑郁症的患者,更有可能进行高频率的远程医疗参与。在调整了之前的医疗保健利用情况后,与拉丁裔患者相比,患有慢性疾病、年龄较大的患者和白人患者与高频率的远程医疗参与相关。需要针对安全网人群的远程医疗临床策略采取以公平为重点的方法。社区卫生中心可以采用具有高患者参与度的特定疾病的远程医疗策略。