REACH OUT: to Reduce High Blood Pressure in the Emergency Department

University of Michigan104 enrolled

Overview

One of the most powerful predictors of stroke is hypertension, with estimates of approximately 33% of adults in the United States experiencing this condition. Hypertension is very prevalent in the emergency department (ED), but significantly undertreated. The overall goal of this project is to develop a text messaging intervention to improve hypertension care in the ED. This will first be done by testing the feasibility of identifying hypertensive patients in the ED, and the response rate to text messages.

Study Type

INTERVENTIONAL

Allocation

RANDOMIZED

Purpose

TREATMENT

Masking

NONE

Enrollment

104

Conditions

Hypertension Stroke

Interventions

Text messagingBEHAVIORAL

persistently hypertensive participants will be randomized to receive these tailored, motivational text messages

Eligibility

Sex: ALLMin age: 18 Years

Medical Language ↔ Plain English

Inclusion Criteria: * Adult (≥18 y/o) * At least one BP of systolic blood pressure (SBP) ≥160 or a diastolic blood pressure (DBP) ≥100 or only BP performed prior to enrollment is SBP ≥160 or a DBP ≥100 (If the patient has repeated measurements after achieving Criteria 1, but prior to being enrolled, at least one of the repeat BP remains SBP ≥140 or a DBP ≥90) * Must have mobile phones with text-messaging capability * Likely to be discharged from the ED Exclusion Criteria: * Adult who is in an urgent condition * Unable to read * Non-English speaking * Incarcerated/ institutionalized resident * Pregnant, or has a pre-existing condition that makes follow-up for 4 months unlikely.

Locations (1)

Unnamed facility

Ann Arbor, Michigan, United States

Outcomes

Primary Outcomes

Proportion of people who respond to text messages and are persistently hypertensive

Time frame: 3 weeks

Secondary Outcomes

Change in systolic and diastolic blood pressure

Time frame: 4 months

Feasibility of a screening algorithm

Proportion of subjects recruited compared to proportion of subjects approached. Subject eligibility identified by screening algorithm.

Time frame: 4 months

Feasibility of subject follow-up mechanism

Proportion of subjects responding to follow-up text messages

Time frame: 4 months

Mean group differences and standard deviations for systolic blood pressure

Time frame: 4 months

Data from ClinicalTrials.gov

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