Telehealth Trends and Hypertension Management Among Rural and Medicaid Patients After COVID-19.
Matthew B MackwoodOleksandra PashchenkoChristopher LeggettConstance FontanetJonathan SkinnerElliott FisherPublished in: Telemedicine journal and e-health : the official journal of the American Telemedicine Association (2024)
Objective: Examine the associations between rurality and low income with primary care telehealth utilization and hypertension outcomes across multiple years pre- and post-COVID-19 pandemic onset. Methods: We compiled electronic health record data from the mixed rural/urban Dartmouth Health system in New Hampshire, United States, on patients with pre-existing hypertension or diabetes receiving primary care in the period before (January 2018-February 2020) and after the transition period to telehealth during the COVID-19 Pandemic (October 2020-December 2022). Stratifying by rurality and Medicaid enrollment, we examined changes in synchronous (office and telehealth visits, including audio/video use) and asynchronous (patient portal or telephone message) utilization, and control of mean systolic blood pressure (SBP) <140. Results: Analysis included 46,520 patients, of whom 8.2% were Medicaid enrollees, 42.7% urban residents. Telehealth use rates were 12% for rural versus 6.4% for urban, and 15% for Medicaid versus 8.4% non-Medicaid. The overall postpandemic telehealth visit rate was 0.29 per patient per year. Rural patients had a larger increase in telehealth use (additional 0.21 per year, 95% CI, 0.19-0.23) compared with urban, as did Medicaid (0.32, 95% CI 0.29-0.36) compared with non-Medicaid. Among the 38,437 patients with hypertension, SBP control worsened from 83% to 79% of patients across periods. In multivariable analysis, rurality corresponded to worsened control rates compared with urban (additional 2.4% decrease, 95% CI 2.1-2.8%); Medicaid and telehealth use were not associated with worsened control. Conclusions: Telehealth expansion enabled a higher shift to telehealth for rural and low-income patients without impairing hypertension management.
Keyphrases
- blood pressure
- primary care
- end stage renal disease
- ejection fraction
- newly diagnosed
- south africa
- health insurance
- electronic health record
- heart failure
- prognostic factors
- affordable care act
- coronavirus disease
- sars cov
- healthcare
- patient reported outcomes
- cardiovascular disease
- left ventricular
- machine learning
- hypertensive patients
- atrial fibrillation
- adipose tissue
- deep learning
- weight loss
- general practice