Marshall Jaclyn, Blavin Fredric, O'Brien Claire, Parekh Ami, Barrie Smith Laura
Included Health. One California Street, Ste. 2300, San Francisco, CA 94111, USA.
Urban Institute, 500 L'Enfant Plaza SW, Washington, DC 20024, USA.
Prev Med Rep. 2024 Aug 18;46:102871. doi: 10.1016/j.pmedr.2024.102871. eCollection 2024 Oct.
As permanent telehealth policies are considered in the United States (U.S.), it is important to understand who uses telehealth most often following the pandemic. We described patients who used a national virtual care practice frequently, identified how they differed from patients who used it less often, and characterized the types of care frequent telehealth patients utilized.
We used video visit data for commercially-insured patients, aged 18+, from a national virtual integrated medical and behavioral health practice in 2022 in the U.S. Patients were categorized into three groups: one visit ('minimal use'), two to four visits ('some use'), and five or more visits ('frequent use'). We compared patient and geographic characteristics between the three groups and estimated an ordinary least squares linear regression to identify predictors of 'frequent' use relative to 'minimal' or 'some' use.
The probability of being a frequent user declined with age (-0.4 percentage points (p.p.) per year; 95 % CI, -0.4 - -0.3), was higher for females (5.4 p.p.; 95 % CI, 4.1 - 6.7) and patients with greater clinical complexity (7.9 p.p. for highest relative to lowest quartile risk score; 95 % CI, 5.9 - 10.0), and lower for patients in the Northeast (-9.2 p.p.; 95 % CI, -15.5 - -2.9) or West (-3.2 p.p.; 95 % CI, -5.7 - -0.7) regions relative to the Southern region of the U.S. The five most common diagnoses were mental health conditions.
Our results highlight the need for comprehensive telehealth policy that enables access, particularly for patients who rely on it as their primary source of care.
在美国考虑制定永久性远程医疗政策之际,了解疫情后使用远程医疗最为频繁的人群至关重要。我们描述了频繁使用全国性虚拟医疗服务的患者,确定了他们与较少使用该服务的患者有何不同,并对频繁使用远程医疗的患者所利用的护理类型进行了特征描述。
我们使用了2022年美国一家全国性虚拟综合医疗与行为健康机构中18岁及以上商业保险患者的视频就诊数据。患者被分为三组:就诊一次(“极少使用”)、就诊两至四次(“有时使用”)以及就诊五次或更多次(“频繁使用”)。我们比较了三组患者的特征和地理特征,并估计了普通最小二乘线性回归,以确定相对于“极少”或“有时”使用而言“频繁”使用的预测因素。
成为频繁使用者的概率随年龄下降(每年下降0.4个百分点(pp);95%置信区间,-0.4至-0.3),女性(高5.4个百分点;95%置信区间,4.1至6.7)和临床复杂性较高的患者(最高四分位数风险评分相对于最低四分位数风险评分高7.9个百分点;95%置信区间,5.9至10.0)的概率更高,而相对于美国南部地区,东北部(低9.2个百分点;95%置信区间,-15.5至-2.9)或西部(低3.2个百分点;95%置信区间,-5.7至-0.7)地区的患者概率更低。最常见的五种诊断是精神健康状况。
我们的结果凸显了制定全面远程医疗政策的必要性,该政策应确保可及性,尤其是对于将其作为主要护理来源的患者。