Reach Out Emergency Department: A Randomized Factorial Trial to Determine the Optimal Mobile Health Components to Reduce Blood Pressure

Author:

Skolarus Lesli E.1,Dinh Mackenzie2,Kidwell Kelley M.3ORCID,Lin Chun Chieh4,Buis Lorraine R.56,Brown Devin L.78ORCID,Oteng Rockefeller29,Giacalone Michael10,Warden Kimberly10ORCID,Trimble Deborah E.2,Whitfield Candace2,Farhan Zahera2,Flood Adam2ORCID,Borgialli Dominic9,Montas Sacha2,Jaggi Michael9,Meurer William J.278ORCID

Affiliation:

1. Davee Department of Neurology, Northwestern University, Feinberg School of Medicine Chicago, IL (L.E.S.).

2. Department of Emergency Medicine (M.D., R.O., D.E.T., C.W., Z.F., A.F., S.M., W.J.M.), University of Michigan, Ann Arbor.

3. Department of Statistics, University of Michigan School of Public Health, Ann Arbor (K.M.K.).

4. Health Services Research Program (C.C.L.), University of Michigan, Ann Arbor.

5. Institute for Healthcare Policy and Innovation (L.R.B.), University of Michigan, Ann Arbor.

6. Department of Family Medicine (L.R.B.), University of Michigan, Ann Arbor.

7. Department of Neurology (D.L.B., W.J.M.), University of Michigan, Ann Arbor.

8. Stroke Program (D.L.B., W.J.M.), University of Michigan, Ann Arbor.

9. Department of Emergency Medicine, Hurley Medical Center, Flint, MI (R.O., D.B., M.J.).

10. Hamilton Community Health Network, Flint, MI (M.G., K.W.).

Abstract

Background: Mobile health (mHealth) strategies initiated in safety-net Emergency Departments may be one approach to address the US hypertension epidemic, but the optimal mHealth components or dose are unknown. Methods: Reach Out is an mHealth, health theory-based, 2×2×2 factorial trial among hypertensive patients evaluated in a safety-net Emergency Department in Flint, Michigan. Reach Out consisted of 3 mHealth components, each with 2 doses: (1) healthy behavior text messaging (yes versus no), (2) prompted self-measured blood pressure (BP) monitoring and feedback (weekly versus daily), and (3) facilitated primary care provider appointment scheduling and transportation (yes versus no). The primary outcome was a change in systolic BP from baseline to 12 months. In a complete case analysis, we fit a linear regression model and accounted for age, sex, race, and prior BP medications to explore the association between systolic BP and each mHealth component. Results: Among 488 randomized participants, 211 (43%) completed follow-up. Mean age was 45.5 years, 61% were women, 54% were Black people, 22% did not have a primary care doctor, 21% lacked transportation, and 51% were not taking antihypertensive medications. Overall, systolic BP declined after 6 months (−9.2 mm Hg [95% CI, −12.2 to −6.3]) and 12 months (−6.6 mm Hg, −9.3 to −3.8), without a difference across the 8 treatment arms. The higher dose of mHealth components were not associated with a greater change in systolic BP; healthy behavior text messages (point estimate, mmHG=−0.5 [95% CI, −6.0 to 5]; P =0.86), daily self-measured BP monitoring (point estimate, mmHG=1.9 [95% CI, −3.7 to 7.5]; P =0.50), and facilitated primary care provider scheduling and transportation (point estimate, mmHG=0 [95% CI, −5.5 to 5.6]; P =0.99). Conclusions: Among participants with elevated BP recruited from an urban safety-net Emergency Department, BP declined over the 12-month intervention period. There was no difference in change in systolic BP among the 3 mHealth components. Reach Out demonstrated the feasibility of reaching medically underserved people with high BP cared for at a safety-net Emergency Departments, yet the efficacy of the Reach Out mHealth intervention components requires further study. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT03422718.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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