Literature DB >> 30046971

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

Neela D Thangada1, Neetika Garg2, Ambarish Pandey3, Nilay Kumar4.   

Abstract

PURPOSE OF REVIEW: Mobile-health technology, frequently referred to as m-health, encompasses smartphone, tablet, or personal computer use in the management of chronic disease. There has been a rise in the number of commercially available smartphone applications and website-based platforms which claim to help patients manage hypertension. Very little research has been performed confirming whether or not use of these applications results in improved blood pressure (BP) outcomes. In this paper, we review existing literature on m-health systems and how m-health can affect hypertension management. RECENT
FINDINGS: M-health systems help patients manage hypertension in the following ways: (1) setting alarms and reminders for patients to take their medications, (2) linking patients' BP reports to their electronic medical record for their physicians to review, (3) providing feedback to patients about their BP trends, and (4) functioning as point-of-care BP sensors. M-health applications with alarms and reminders can increase medication compliance while applications that share ambulatory BP data with patients' physicians can foster improved patient-physician dialog. However, the most influential tool for achieving positive BP outcomes appears to be patient-directed feedback about BP trends. A large number of commercially available m-health applications may facilitate self-management of hypertension by enhancing medication adherence, maintaining a log of blood pressure measurements, and facilitating physician-patient communication. A small number of applications function as BP sensors, thereby transforming the smartphone into a medical device. Such BP sensors often generate unreliable recordings. Patients must be cautioned regarding the use of smartphones for BP measurement at least until these applications have been more extensively validated.

Entities:  

Keywords:  Hypertension and outcomes research; Mobile-health; Smartphone

Mesh:

Year:  2018        PMID: 30046971     DOI: 10.1007/s11886-018-1022-7

Source DB:  PubMed          Journal:  Curr Cardiol Rep        ISSN: 1523-3782            Impact factor:   2.931


  50 in total

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2.  Evaluation of mobile phone and Internet intervention on waist circumference and blood pressure in post-menopausal women with abdominal obesity.

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3.  Relationship between Clinic and Ambulatory Blood-Pressure Measurements and Mortality.

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4.  Outpatient blood pressure monitoring using bi-directional text messaging.

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Journal:  J Am Soc Hypertens       Date:  2015-01-21

5.  Home blood pressure telemonitoring improves hypertension control in general practice. The TeleBPCare study.

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Journal:  J Hypertens       Date:  2009-01       Impact factor: 4.844

Review 6.  New Approaches to Evaluating and Monitoring Blood Pressure.

Authors:  Elizabeth M Goldberg; Phillip D Levy
Journal:  Curr Hypertens Rep       Date:  2016-06       Impact factor: 5.369

7.  Performance of a Blood Pressure Smartphone App in Pregnant Women: The iPARR Trial (iPhone App Compared With Standard RR Measurement).

Authors:  Christina J Raichle; Jens Eckstein; Olav Lapaire; Licia Leonardi; Noé Brasier; Annina S Vischer; Thilo Burkard
Journal:  Hypertension       Date:  2018-04-09       Impact factor: 10.190

8.  Effects of nurse-managed telemonitoring on blood pressure at 12-month follow-up among urban African Americans.

Authors:  Nancy T Artinian; John M Flack; Cheryl K Nordstrom; Elaine M Hockman; Olivia G M Washington; Kai-Lin Catherine Jen; Maryam Fathy
Journal:  Nurs Res       Date:  2007 Sep-Oct       Impact factor: 2.381

9.  Effect of self-monitoring and medication self-titration on systolic blood pressure in hypertensive patients at high risk of cardiovascular disease: the TASMIN-SR randomized clinical trial.

Authors:  Richard J McManus; Jonathan Mant; M Sayeed Haque; Emma P Bray; Stirling Bryan; Sheila M Greenfield; Miren I Jones; Sue Jowett; Paul Little; Cristina Penaloza; Claire Schwartz; Helen Shackleford; Claire Shovelton; Jinu Varghese; Bryan Williams; F D Richard Hobbs; Trevor Gooding; Ian Morrey; Crispin Fisher; David Buckley
Journal:  JAMA       Date:  2014-08-27       Impact factor: 56.272

10.  Protocol for the mWellcare trial: a multicentre, cluster randomised, 12-month, controlled trial to compare the effectiveness of mWellcare, an mHealth system for an integrated management of patients with hypertension and diabetes, versus enhanced usual care in India.

Authors:  Dilip Jha; Priti Gupta; Vamadevan S Ajay; Devraj Jindal; Pablo Perel; David Prieto-Merino; Pramod Jacob; Jonathan Nyong; Vidya Venugopal; Kavita Singh; Shifalika Goenka; Ambuj Roy; Nikhil Tandon; Vikram Patel; Dorairaj Prabhakaran
Journal:  BMJ Open       Date:  2017-08-11       Impact factor: 2.692

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2.  Guideline of the Brazilian Society of Cardiology on Telemedicine in Cardiology - 2019.

Authors:  Marcelo Antônio Cartaxo Queiroga Lopes; Gláucia Maria Moraes de Oliveira; Antonio Luiz Pinho Ribeiro; Fausto J Pinto; Helena Cramer Veiga Rey; Leandro Ioschpe Zimerman; Carlos Eduardo Rochitte; Fernando Bacal; Carisi Anne Polanczyk; Cidio Halperin; Edson Correia Araújo; Evandro Tinoco Mesquita; José Airton Arruda; Luis Eduardo Paim Rohde; Max Grinberg; Miguel Moretti; Paulo Ricardo Avancini Caramori; Roberto Vieira Botelho; Andréa Araújo Brandão; Ludhmila Abrahão Hajjar; Alexandre Fonseca Santos; Alexandre Siciliano Colafranceschi; Ana Paula Beck da Silva Etges; Bárbara Campos Abreu Marino; Bruna Stella Zanotto; Bruno Ramos Nascimento; Cesar Rocha Medeiros; Daniel Vitor de Vasconcelos Santos; Daniela Matos Arrowsmith Cook; Eduardo Antoniolli; Erito Marques de Souza Filho; Fábio Fernandes; Fabio Gandour; Francisco Fernandez; Germano Emilio Conceição Souza; Guilherme de Souza Weigert; Iran Castro; Jamil Ribeiro Cade; José Albuquerque de Figueiredo Neto; Juliano de Lara Fernandes; Marcelo Souza Hadlich; Marco Antonio Praça Oliveira; Maria Beatriz Alkmim; Maria Cristina da Paixão; Maurício Lopes Prudente; Miguel A S Aguiar Netto; Milena Soriano Marcolino; Monica Amorim de Oliveira; Osvaldo Simonelli; Pedro A Lemos Neto; Priscila Raupp da Rosa; Renato Minelli Figueira; Roberto Caldeira Cury; Rodrigo Coelho Almeida; Sandra Regina Franco Lima; Silvio Henrique Barberato; Thiago Inocêncio Constancio; Wladimir Fernandes de Rezende
Journal:  Arq Bras Cardiol       Date:  2019-11       Impact factor: 2.000

3.  Estimation and Tracking of Blood Pressure Using Routinely Acquired Photoplethysmographic Signals and Deep Neural Networks.

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Journal:  Crit Care Explor       Date:  2020-04-29

4.  Wireless Home Blood Pressure Monitoring System With Automatic Outcome-Based Feedback and Financial Incentives to Improve Blood Pressure in People With Hypertension: Protocol for a Randomized Controlled Trial.

Authors:  Marcel Bilger; Agnes Ying Leng Koong; Ian Kwong Yun Phoon; Ngiap Chuan Tan; Juliana Bahadin; Joann Bairavi; Ada Portia M Batcagan-Abueg; Eric A Finkelstein
Journal:  JMIR Res Protoc       Date:  2021-06-09

5.  Clinician Decisions After Notification of Elevated Blood Pressure Measurements From Patients in a Remote Monitoring Program.

Authors:  Natalie S Lee; Rebecca Anastos-Wallen; Krisda H Chaiyachati; Catherine Reitz; David A Asch; Shivan J Mehta
Journal:  JAMA Netw Open       Date:  2022-01-04

6.  Mobile Phone App Use Among Pregnant Women in China and Associations Between App Use and Perinatal Outcomes: Retrospective Study.

Authors:  Puhong Zhang; Huan Chen; Jane Elizabeth Hirst; Jie Shang; Jun Ge; Huichen Zhang; Mingjun Xu; Cui Bian; Yang Zhao; Minyuan Chen
Journal:  JMIR Form Res       Date:  2022-01-25

7.  Exploring Saudi Individuals' Perspectives and Needs to Design a Hypertension Management Mobile Technology Solution: Qualitative Study.

Authors:  Adel Alzahrani; Valerie Gay; Ryan Alturki
Journal:  Int J Environ Res Public Health       Date:  2022-10-10       Impact factor: 4.614

8.  Assessment of Mobile Health Apps Using Built-In Smartphone Sensors for Diagnosis and Treatment: Systematic Survey of Apps Listed in International Curated Health App Libraries.

Authors:  Clarence Baxter; Julie-Anne Carroll; Brendan Keogh; Corneel Vandelanotte
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9.  Race/Ethnic Differences in Atherosclerotic Cardiovascular Disease Risk Factors Among Patients With Hypertension: Analysis From 143 Primary Care Clinics.

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Review 10.  Digital cardiovascular care in COVID-19 pandemic: A potential alternative?

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Journal:  J Card Surg       Date:  2020-10-10       Impact factor: 1.778

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