Literature DB >> 23067923

Evaluating a web-based self-management program for employees with hypertension and prehypertension: a randomized clinical trial.

Alice J Watson1, Kanwaljit Singh, Khinlei Myint-U, Richard W Grant, Kamal Jethwani, Ellen Murachver, Kimberly Harris, Thomas H Lee, Joseph C Kvedar.   

Abstract

BACKGROUND: Web-based self-management programs offer a novel approach for self-insured employers seeking to improve and maintain employee health.
METHODS: We conducted a 6-month prospective, cluster-randomized controlled trial designed to evaluate whether worksite access to an automated, web-based, self-management program resulted in better blood pressure control. The trial was conducted at 6 EMC Corporation worksites in Massachusetts, each of which had at least 600 employees; 404 EMC employees with pre-hypertension or hypertension participated. Participants at 3 worksites received a home blood pressure cuff that uploaded readings to a Web site where they could view trends and read automated rules-based messages. Participants at 3 worksites received access to an onsite blood pressure cuff. Primary outcome measure was change in systolic blood pressure. Secondary outcome measures were change in diastolic blood pressure, proportion of participants achieving significant changes in systolic and diastolic blood pressure, and subject satisfaction.
RESULTS: Although the mean change in systolic blood pressure was not significantly different between intervention and control groups (-1.69 vs. -0.86 mm HG, respectively, P = .49) the change in diastolic blood pressure between groups was significant. (-1.08 vs. = 1.47 mm HG, respectively, P < .001). Significantly more intervention participants experienced a >10-mm Hg decrease in systolic blood pressure or >5-mm Hg decrease in diastolic blood pressure compared to controls (22% vs 17%, P = .02 and 29% vs 16%, P = .03, respectively). Intervention participants were twice as likely to report starting a new medication (P = .02) and more likely to report improved communication with their doctor (P = .02).
CONCLUSIONS: Participation in an automated online self-management program resulted in improved blood pressure among employees with prehypertension or hypertension.
Copyright © 2012 Mosby, Inc. All rights reserved.

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Year:  2012        PMID: 23067923     DOI: 10.1016/j.ahj.2012.06.013

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  21 in total

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Authors:  Lora E Burke; Jun Ma; Kristen M J Azar; Gary G Bennett; Eric D Peterson; Yaguang Zheng; William Riley; Janna Stephens; Svati H Shah; Brian Suffoletto; Tanya N Turan; Bonnie Spring; Julia Steinberger; Charlene C Quinn
Journal:  Circulation       Date:  2015-08-13       Impact factor: 29.690

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Authors:  Ross Arena; Marco Guazzi; Paige D Briggs; Lawrence P Cahalin; Jonathan Myers; Leonard A Kaminsky; Daniel E Forman; Gerson Cipriano; Audrey Borghi-Silva; Abraham Samuel Babu; Carl J Lavie
Journal:  Mayo Clin Proc       Date:  2013-06       Impact factor: 7.616

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Authors:  Hasan Rehman; Ayeesha K Kamal; Pamela B Morris; Saleem Sayani; Anwar T Merchant; Salim S Virani
Journal:  Curr Atheroscler Rep       Date:  2017-03       Impact factor: 5.113

4.  Performance and persistence of a blood pressure self-management intervention: telemonitoring and self-management in hypertension (TASMINH2) trial.

Authors:  E P Bray; M I Jones; M Banting; S Greenfield; F D R Hobbs; P Little; B Williams; R J Mcmanus
Journal:  J Hum Hypertens       Date:  2015-01-08       Impact factor: 3.012

5.  Rationale and study design of the MyHEART study: A young adult hypertension self-management randomized controlled trial.

Authors:  Heather M Johnson; Lisa Sullivan-Vedder; KyungMann Kim; Patrick E McBride; Maureen A Smith; Jamie N LaMantia; Jennifer T Fink; Megan R Knutson Sinaise; Laura M Zeller; Diane R Lauver
Journal:  Contemp Clin Trials       Date:  2019-01-21       Impact factor: 2.226

Review 6.  Prehypertension: Underlying pathology and therapeutic options.

Authors:  Sulayma Albarwani; Sultan Al-Siyabi; Musbah O Tanira
Journal:  World J Cardiol       Date:  2014-08-26

7.  A mHealth-based care model for improving hypertension control in stroke survivors: Pilot RCT.

Authors:  Kamakshi Lakshminarayan; Sarah Westberg; Carin Northuis; Candace C Fuller; Farah Ikramuddin; Mustapha Ezzeddine; Julie Scherber; Stuart Speedie
Journal:  Contemp Clin Trials       Date:  2018-05-12       Impact factor: 2.226

8.  The impact of using mobile-enabled devices on patient engagement in remote monitoring programs.

Authors:  Stephen Agboola; Rob Havasy; Khinlei Myint-U; Joseph Kvedar; Kamal Jethwani
Journal:  J Diabetes Sci Technol       Date:  2013-05-01

9.  Efficacy of a mobile hypertension prevention delivery platform with human coaching.

Authors:  T Toro-Ramos; Y Kim; M Wood; J Rajda; K Niejadlik; J Honcz; D Marrero; A Fawer; A Michaelides
Journal:  J Hum Hypertens       Date:  2017-10-03       Impact factor: 3.012

Review 10.  The Emerging Role of Mobile-Health Applications in the Management of Hypertension.

Authors:  Neela D Thangada; Neetika Garg; Ambarish Pandey; Nilay Kumar
Journal:  Curr Cardiol Rep       Date:  2018-07-26       Impact factor: 2.931

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