Feasibility of a Clinical Decision Support Tool to Manage Resistant Hypertension: Team-HTN, a Single-arm Pilot Study

Author:

Siaki Leilani A1ORCID,LIN Victor2,Marshall Robert3,Highley Robert4

Affiliation:

1. Madigan Army Medical Center, 9040 Jackson Ave. Tacoma, WA 98431, USA  leilani.a.siaki.mil@mail.mil

2. Naval Medical Forces Pacific, 4170 Norman Scott Rd Suite 5, San Diego, CA 92136, USA  victor.s.lin.mil@mail.mil

3. Madigan Army Medical Center, 9040 Jackson Ave. Tacoma, WA 98431, USA  robert.c.marshall24.civ@mail.mil

4. Analytics4Medicine (A4M), 11827 26 Ave SW, Burien, WA 98146, USA

Abstract

ABSTRACT Introduction Based on defining criteria, hypertension (HTN) affects 31% to 46% of the adult U.S. population and almost 20% of service members. Resistant HTN (rHTN) consumes significant resources, carries substantial morbidity and mortality risk and costs over $350 billion dollars annually. For multiple reasons, only 48.3% of people with HTN are controlled, e.g., undiagnosed secondary HTN, therapeutic or diagnostic inertia, and patient adherence. Our purpose was to determine the feasibility of a web-based clinical decision support tool (CDST) using a renin-aldosterone system (RAS) classification matrix and drug sequencing algorithm to assist providers with the diagnosis and management of uncontrolled HTN (rHTN). Outcomes were blood pressure (BP) rates of control, provider management time, and end-user satisfaction. Methods This two-phase, prospective, non-randomized, single-arm, six-month pilot study was conducted in primary care clinics at a tertiary military medical center. Patients with uncontrolled HTN and primary care providers were recruited. Phase 1 patients checked their BP twice daily (AM and PM), three times weekly using a standardized arm cuff. Patients with rHTN were enrolled in phase 2. Phase 2 patients were managed virtually by providers using the CDST, the RAS classification matrix, and the drug sequencing algorithm which incorporated age, ethnicity, comorbidities, and renin/aldosterone levels. Medications were adjusted every 10 days until BP was at target, using virtual visits. Results In total, 54 patients and 16 providers were consented. One transplant patient was disqualified, 29 met phase 2 criteria for rHTN, and 6 providers completed the study. In phase 1, 45% (n = 24) of patients were identified as having apparent uncontrolled HTN using peak diurnal blood pressure (pdBP) home readings. In phase 2 (n = 29), previously undetected RAS abnormalities were identified in 69% (n = 20) of patients. Blood pressure control rates improved from 0% to 23%, 47%, and 58% at 2, 4, and 6 months, respectively. Provider management time was reduced by 17%. Using home pdBP readings identified masked HTN in almost 20% of patients that would have been missed by a single daily AM or PM home BP measurement. Feasibility and satisfaction trends were favorable. Conclusions Despite significant morbidity, mortality, and existing guidelines, over half of hypertensive patients are uncontrolled. Our results suggest that this CDST used with pdBP monitoring is a feasible option to facilitate improved rates of control in rHTN, aid in overcoming therapeutic/diagnostic inertia, improve identification of secondary HTN, and potentially, access. Further research with this tool in a larger population is recommended.

Funder

Telemedicine and Advanced Technology Research Center

AMEDD Advanced Medical Technology Initiative

Analytics4Medicine Seattle Washington

Publisher

Oxford University Press (OUP)

Subject

Public Health, Environmental and Occupational Health,General Medicine

Reference37 articles.

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3. Preventing and controlling hypertension for improved population health: healthy people 2020 heart disease and stroke objectives;Healthy People 2020 Heart Disease and Stroke Federal Partnership,2019

4. Controlling resistant hypertension;Spence;Stroke Vasc Neurol,2018

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