Improving patient engagement in self-measured blood pressure monitoring using a mobile health technology

Kaplan, Alan L.; Cohen, Erica; Zimlichman, Eyal

doi:10.1007/s13755-017-0026-9

Cited by 39 publications

(65 citation statements)

References 20 publications

(29 reference statements)

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“…In comparison, a study of 5115 participants that used a mHealth app to regularly measure BP, but did not give out monetary rewards, reported that 74% were using the app at 2 weeks and only 6% at 16 weeks. 25 Individuals did not receive credit for BP and PWV measurements that were outside the specified acceptable ranges, or when BP and PWV measurements were taken more than 1 hour apart. These failed ‘attempts’ were not recorded, but were filtered by the app.…”

Section: Resultsmentioning

confidence: 99%

Advanced and Accurate Mobile Health Tracking Devices Record New Cardiac Vital Signs

Modena

Bellahsen²,

Nikzad

et al. 2018

Hypertension

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Cardiovascular disease remains the leading cause of death and disease worldwide. As demands on an already resource-constrained healthcare system intensify, disease prevention in the future will likely depend on out-of-office monitoring of cardiovascular risk factors. Mobile health tracking devices that can track blood pressure and heart rate, in addition to new cardiac vital signs, such as physical activity level and pulse wave velocity (PWV), offer a promising solution. An initial barrier is the development of accurate and easily-scalable platforms. In this study, we made a customized smartphone app and used mobile health devices to track PWV, blood pressure, heart rate, physical activity, sleep duration, and multiple lifestyle risk factors in ≈250 adults for 17 continual weeks. Eligible participants were identified by a company database and then were consented and enrolled using only a smartphone app, without any special training given. Study participants reported high overall satisfaction, and 73% of participants were able to measure blood pressure and PWV, <1 hour apart, for at least 14 of 17 weeks. The study population's blood pressure, PWV, heart rate, activity levels, sleep duration, and the interrelationships among these measurements were found to closely match either population averages or values obtained from studies performed in a controlled setting. As a proof-of-concept, we demonstrated the accuracy and ease, as well as many challenges, of using mHealth technology to accurately track PWV and new cardiovascular vital signs at home.

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Section: Resultsmentioning

confidence: 99%

Advanced and Accurate Mobile Health Tracking Devices Record New Cardiac Vital Signs

Modena

Bellahsen²,

Nikzad

et al. 2018

Hypertension

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“…They can also improve adherence to prescribed antihypertensive and lipid-lowering medications [ 4 ]. Lastly, HIT may alert patients and/or their care team that risk factors are less than optimal and may need intervention, such as is the case with HIT interventions that help patients and their care teams monitor blood pressure [ 57 ].…”

Section: Discussionmentioning

confidence: 99%

Effect of Health Information Technologies on Cardiovascular Risk Factors among Patients with Diabetes

et al. 2019

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Purpose of Review To identify a common effect of health information technologies (HIT) on the management of cardiovascular disease (CVD) risk factors among people with type 2 diabetes (T2D) across randomized control trials (RCT). Recent Findings CVD is the most frequent cause of morbidity and mortality among patients with diabetes. HIT are effective in reducing HbA1c; however, their effect on cardiovascular risk factor management for patients with T2D has not been evaluated. Summary We identified 21 eligible studies (23 estimates) with measurement of SBP, 20 (22 estimates) of DBP, 14 (17 estimates) of HDL, 14 (17 estimates) of LDL, 15 (18 estimates) of triglycerides, and 10 (12 estimates) of weight across databases. We found significant reductions in SBP, DBP, LDL, and TG, and a significant improvement in HDL associated with HIT. As adjuvants to standard diabetic treatment, HIT can be effective tools for improving CVD risk factors among patients with T2D, especially in those whose CVD risk factors are not at goal. Electronic supplementary material The online version of this article (10.1007/s11892-019-1152-3) contains supplementary material, which is available to authorized users.

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“…This paper focuses on the integration of technologies to improve the overall patient experience by reducing costs and improving quality of care. In [50], the authors explored the positive impact on the quality of care, patient satisfaction and healthcare costs by using mobile health apps such as Hello Heart which supports patient engagement in self-measured blood pressure monitoring and provides the foundation for cardiovascular diseases. Applications such as Hello Heart provide platforms to enable patients to monitor and track selfrecorded BP recordings with periodic reminders to measure BP, interactive educational modules and wireless connectivity with BP devices.…”

Section: Labelmentioning

confidence: 99%

Deep learning-based ambient assisted living for self-management of cardiovascular conditions

Qureshi

Jeon

et al. 2021

Neural Comput & Applic

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According to the World Health Organization, cardiovascular diseases contribute to 17.7 million deaths per year and are rising with a growing ageing population. In order to handle these challenges, the evolved countries are now evolving workable solutions based on new communication technologies such as ambient assisted living. In these solutions, the most well-known solutions are wearable devices for patient monitoring, telemedicine and mHealth systems. This systematic literature review presents the detailed literature on ambient assisted living solutions and helps to understand how ambient assisted living helps and motivates patients with cardiovascular diseases for self-management to reduce associated morbidity and mortalities. Preferred reporting items for systematic reviews and meta-analyses technique are used to answer the research questions. The paper is divided into four main themes, including self-monitoring wearable systems, ambient assisted living in aged populations, clinician management systems and deep learning-based systems for cardiovascular diagnosis. For each theme, a detailed investigation shows (1) how these new technologies are nowadays integrated into diagnostic systems and (2) how new technologies like IoT sensors, cloud models, machine and deep learning strategies can be used to improve the medical services. This study helps to identify the strengths and weaknesses of novel ambient assisted living environments for medical applications. Besides, this review assists in reducing the dependence on caregivers and the healthcare systems.

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Improving patient engagement in self-measured blood pressure monitoring using a mobile health technology

Cited by 39 publications

References 20 publications

Advanced and Accurate Mobile Health Tracking Devices Record New Cardiac Vital Signs

Advanced and Accurate Mobile Health Tracking Devices Record New Cardiac Vital Signs

Effect of Health Information Technologies on Cardiovascular Risk Factors among Patients with Diabetes

Deep learning-based ambient assisted living for self-management of cardiovascular conditions

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