Hypertension
Poster Session 1
Mia Charifson, MA
Delfina Care Inc.
San Francisco, CA, United States
Timothy Wen, MD,MPH (he/him/his)
Clinical Fellow
University of California, San Francisco (UCSF)
San Francisco, CA, United States
Bonnie Zell, MD, MPH
Delfina Care Inc.
San Francisco, CA, United States
Priyanka Vaidya, MA, MBA, MS
Chief Product Officer
Delfina Care Inc.
San Francisco, CA, United States
Cynthia I. Rios, MD
Center for Women's Health, TX, United States
Funsho Fagbohun, MD
Center for Women's Health, TX, United States
Isabel Fulcher, PhD,MA,BSc
Vice President of Data Science
Delfina Care
Sunnyville, CA, United States
In January 2023, Delfina Care, a comprehensive pregnancy care platform, was launched for pregnant patients at a community practice in Texas. Eligible patients were initially provided unconnected BP RPM devices, requiring patients to manually log BP measures in the Delfina Care patient application. In April 2023, connected BP devices were introduced, which automatically synchronized measures to the application. Data on the number of measures recorded and patient adherence (at least 2 BP measures/day for the duration of their pregnancy) were collected. Poisson and logistic regressions were fit to model the effect of device type on the number of BP measures and adherence, respectively. Both models controlled for relevant confounders (age, parity, weeks since enrollment, primary clinic and preferred language) and included a random effect for repeated measures from patients.
Results: A total of 4,381 BP measures were recorded from 152 patients. Patients with connected devices had more mean entries/day (0.57 vs. 0.35) and higher adherence rates (15% vs. 8%) compared to those with unconnected devices (Figure 1). Adjusted analyses noted 2.28 (95% CI: 1.44-3.61) times more BP measure per day and 6.28 (95% CI: 2.62-15.05) higher odds of adherence among connected versus unconnected device users.
Conclusion: Patients with connected devices entered more BP measures per day and had higher adherence to the RPM protocol. These findings suggest that automated recording facilitates RPM of BP and ultimately has the potential to improve care among pregnant patients at high risk for HDP.