Literature DB >> 29710289

Association of a Smartphone Application With Medication Adherence and Blood Pressure Control: The MedISAFE-BP Randomized Clinical Trial.

Kyle Morawski1,2, Roya Ghazinouri1, Alexis Krumme1, Julie C Lauffenburger1, Zhigang Lu1, Erin Durfee3, Leslie Oley3, Jessica Lee1, Namita Mohta1, Nancy Haff1, Jessie L Juusola3, Niteesh K Choudhry1.   

Abstract

Importance: Medication nonadherence accounts for up to half of uncontrolled hypertension. Smartphone applications (apps) that aim to improve adherence are widely available but have not been rigorously evaluated. Objective: To determine if the Medisafe smartphone app improves self-reported medication adherence and blood pressure control. Design, Setting, and Participants: This was a 2-arm, randomized clinical trial (Medication Adherence Improvement Support App For Engagement-Blood Pressure [MedISAFE-BP]). Participants were recruited through an online platform and were mailed a home blood pressure cuff to confirm eligibility and to provide follow-up measurements. Of 5577 participants who were screened, 412 completed consent, met inclusion criteria (confirmed uncontrolled hypertension, taking 1 to 3 antihypertensive medications), and were randomized in a ratio of 1:1 to intervention or control. Interventions: Intervention arm participants were instructed to download and use the Medisafe app, which includes reminder alerts, adherence reports, and optional peer support. Main Outcomes and Measures: Co-primary outcomes were change from baseline to 12 weeks in self-reported medication adherence, measured by the Morisky medication adherence scale (MMAS) (range, 0-8, with lower scores indicating lower adherence), and change in systolic blood pressure.
Results: Participants (n = 411; 209 in the intervention group and 202 controls) had a mean age of 52.0 years and mean body mass index, calculated as weight in kilograms divided by height in meters squared, of 35.5; 247 (60%) were female, and 103 (25%) were black. After 12 weeks, the mean (SD) score on the MMAS improved by 0.4 (1.5) among intervention participants and remained unchanged among controls (between-group difference: 0.4; 95% CI, 0.1-0.7; P = .01). The mean (SD) systolic blood pressure at baseline was 151.4 (9.0) mm Hg and 151.3 (9.4) mm Hg, among intervention and control participants, respectively. After 12 weeks, the mean (SD) systolic blood pressure decreased by 10.6 (16.0) mm Hg among intervention participants and 10.1 (15.4) mm Hg among controls (between-group difference: -0.5; 95% CI, -3.7 to 2.7; P = .78). Conclusions and Relevance: Among individuals with poorly controlled hypertension, patients randomized to use a smartphone app had a small improvement in self-reported medication adherence but no change in systolic blood pressure compared with controls. Trial Registration: clinicaltrials.gov Identifier: NCT02727543.

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Year:  2018        PMID: 29710289      PMCID: PMC6145760          DOI: 10.1001/jamainternmed.2018.0447

Source DB:  PubMed          Journal:  JAMA Intern Med        ISSN: 2168-6106            Impact factor:   21.873


  38 in total

1.  Untangling the relationship between medication adherence and post-myocardial infarction outcomes: medication adherence and clinical outcomes.

Authors:  Niteesh K Choudhry; Robert J Glynn; Jerry Avorn; Joy L Lee; Troyen A Brennan; Lonny Reisman; Michele Toscano; Raisa Levin; Olga S Matlin; Elliott M Antman; William H Shrank
Journal:  Am Heart J       Date:  2013-10-17       Impact factor: 4.749

2.  Effect of Lifestyle-Focused Text Messaging on Risk Factor Modification in Patients With Coronary Heart Disease: A Randomized Clinical Trial.

Authors:  Clara K Chow; Julie Redfern; Graham S Hillis; Jay Thakkar; Karla Santo; Maree L Hackett; Stephen Jan; Nicholas Graves; Laura de Keizer; Tony Barry; Severine Bompoint; Sandrine Stepien; Robyn Whittaker; Anthony Rodgers; Aravinda Thiagalingam
Journal:  JAMA       Date:  2015 Sep 22-29       Impact factor: 56.272

Review 3.  National surveillance definitions for hypertension prevalence and control among adults.

Authors:  Matthew T Crim; Sung Sug Sarah Yoon; Eduardo Ortiz; Hilary K Wall; Susan Schober; Cathleen Gillespie; Paul Sorlie; Nora Keenan; Darwin Labarthe; Yuling Hong
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2012-05-01

4.  Rationale and design of the Medication adherence Improvement Support App For Engagement-Blood Pressure (MedISAFE-BP) trial.

Authors:  Kyle Morawski; Roya Ghazinouri; Alexis Krumme; Julianne McDonough; Erin Durfee; Leslie Oley; Namita Mohta; Jessie Juusola; Niteesh K Choudhry
Journal:  Am Heart J       Date:  2016-12-09       Impact factor: 4.749

5.  Mobile Phone Text Messages to Support Treatment Adherence in Adults With High Blood Pressure (SMS-Text Adherence Support [StAR]): A Single-Blind, Randomized Trial.

Authors:  Kirsten Bobrow; Andrew J Farmer; David Springer; Milensu Shanyinde; Ly-Mee Yu; Thomas Brennan; Brian Rayner; Mosedi Namane; Krisela Steyn; Lionel Tarassenko; Naomi Levitt
Journal:  Circulation       Date:  2016-01-14       Impact factor: 29.690

6.  Multiple Imputation: A Flexible Tool for Handling Missing Data.

Authors:  Peng Li; Elizabeth A Stuart; David B Allison
Journal:  JAMA       Date:  2015-11-10       Impact factor: 56.272

7.  Improvement of medication compliance in uncontrolled hypertension.

Authors:  R B Haynes; D L Sackett; E S Gibson; D W Taylor; B C Hackett; R S Roberts; A L Johnson
Journal:  Lancet       Date:  1976-06-12       Impact factor: 79.321

Review 8.  Effects of eHealth interventions on medication adherence: a systematic review of the literature.

Authors:  Annemiek J Linn; Marcia Vervloet; Liset van Dijk; Edith G Smit; Julia C M Van Weert
Journal:  J Med Internet Res       Date:  2011-12-05       Impact factor: 5.428

9.  Assessing the Medication Adherence App Marketplace From the Health Professional and Consumer Vantage Points.

Authors:  Lindsey E Dayer; Rebecca Shilling; Madalyn Van Valkenburg; Bradley C Martin; Paul O Gubbins; Kristie Hadden; Seth Heldenbrand
Journal:  JMIR Mhealth Uhealth       Date:  2017-04-19       Impact factor: 4.773

10.  Health App Use Among US Mobile Phone Owners: A National Survey.

Authors:  Paul Krebs; Dustin T Duncan
Journal:  JMIR Mhealth Uhealth       Date:  2015-11-04       Impact factor: 4.773

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  61 in total

1.  Missing Acknowledgment.

Authors: 
Journal:  JAMA Intern Med       Date:  2018-06-01       Impact factor: 21.873

Review 2.  Prevention and Control of Hypertension: JACC Health Promotion Series.

Authors:  Robert M Carey; Paul Muntner; Hayden B Bosworth; Paul K Whelton
Journal:  J Am Coll Cardiol       Date:  2018-09-11       Impact factor: 24.094

Review 3.  Connected Health Technology for Cardiovascular Disease Prevention and Management.

Authors:  Shannon Wongvibulsin; Seth S Martin; Steven R Steinhubl; Evan D Muse
Journal:  Curr Treat Options Cardiovasc Med       Date:  2019-05-18

4.  Usability and feasibility of consumer-facing technology to reduce unsafe medication use by older adults.

Authors:  Richard J Holden; Noll L Campbell; Ephrem Abebe; Daniel O Clark; Denisha Ferguson; Kunal Bodke; Malaz A Boustani; Christopher M Callahan
Journal:  Res Social Adm Pharm       Date:  2019-02-26

Review 5.  [Telemonitoring and eHealth for arterial hypertension : Status quo and perspectives].

Authors:  C Beger; H Haller; F P Limbourg
Journal:  Internist (Berl)       Date:  2021-02-12       Impact factor: 0.743

Review 6.  The Potential of mHealth Applications in Improving Resistant Hypertension Self-Assessment, Treatment and Control.

Authors:  Karla Santo; Julie Redfern
Journal:  Curr Hypertens Rep       Date:  2019-10-09       Impact factor: 5.369

Review 7.  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

Review 8.  Mobile messaging and smartphone apps for patient communication and engagement in spine surgery.

Authors:  Vadim Goz; William Ryan Spiker; Darrel Brodke
Journal:  Ann Transl Med       Date:  2019-09

9.  Pharmacist-Led Mobile Health Intervention and Transplant Medication Safety: A Randomized Controlled Clinical Trial.

Authors:  Haley M Gonzales; James N Fleming; Mulugeta Gebregziabher; Maria Aurora Posadas-Salas; Zemin Su; John W McGillicuddy; David J Taber
Journal:  Clin J Am Soc Nephrol       Date:  2021-04-30       Impact factor: 8.237

10.  Public attitudes towards mobile health in Singapore: a cross-sectional study.

Authors:  Ihtimam Hossain; Zi Zhao Lim; Joshua Jia Le Ng; Wan Jia Koh; Pei Shieen Wong
Journal:  Mhealth       Date:  2018-09-26
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