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

Not Applicable
Completed
Conditions
Hypertension
Stroke
Interventions
Behavioral: Text messaging
Registration Number
NCT02301455
Lead Sponsor
University of Michigan
Brief Summary

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.

Detailed Description

Not available

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
104
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
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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.
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Study & Design

Study Type
INTERVENTIONAL
Study Design
PARALLEL
Arm && Interventions
GroupInterventionDescription
Text messages, hypertensiveText messagingParticipants who after 3 weeks have high blood pressure and are responsive to text messages, who are then randomized to receive text messages.
Primary Outcome Measures
NameTimeMethod
Proportion of people who respond to text messages and are persistently hypertensive3 weeks
Secondary Outcome Measures
NameTimeMethod
Change in systolic and diastolic blood pressure4 months
Feasibility of a screening algorithm4 months

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

Feasibility of subject follow-up mechanism4 months

Proportion of subjects responding to follow-up text messages

Mean group differences and standard deviations for systolic blood pressure4 months
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