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

Santo, Karla; Redfern, Julie

doi:10.1007/s11906-019-0986-z

Cited by 31 publications

(26 citation statements)

References 41 publications

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“…A mobile application (“app”) is a computer program designed to run on a mobile device such as a smartphone or tablet. An estimated 81% of US adults owned a smartphone as of 2018, 20 and approximately 325 000 health-related applications existed in 2017 for Apple iOS or Android smartphones, 21 with the most popular apps focused on healthy eating and physical activity. 22,23 Apps educate patients by providing insight into their behaviors and opportunities to practice new skills.…”

Section: Mobile (Smartphone and Tablet) Applicationsmentioning

confidence: 99%

Utilizing Digital Health Technologies for Patient Education in Lifestyle Medicine

Kuwabara

Krauss

2019

American Journal of Lifestyle Medicine

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Technology has redefined the way patients and providers communicate and obtain health information. The realm of digital health encompasses a diverse set of technologies, including mobile health, health information technology, wearable devices, telehealth and telemedicine, and personalized medicine. These technologies have begun to improve care delivery without the traditional constraints of distance, location, and time. A growing body of evidence supports the use of digital health technology for improving patient education and implementation of skills and behaviors integral to lifestyle medicine. Patient education can now be delivered in standard formats (eg, articles, written messages) as well a wide array of multimedia (video, audio, interactive games, etc), which may be more appropriate for certain topics and learning styles. In addition, patient engagement in their care plays an important role in improving health outcomes. Despite digital health technology development often outpacing its research, there is sufficient evidence to support the use of many current technologies in clinical practice. Digital health tools will continue to grow in their ability to cost-effectively monitor and encourage healthy behaviors at scale, and better methods of evaluation will likely increase clinician confidence in their use.

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Section: Mobile (Smartphone and Tablet) Applicationsmentioning

confidence: 99%

Utilizing Digital Health Technologies for Patient Education in Lifestyle Medicine

Kuwabara

Krauss

2019

American Journal of Lifestyle Medicine

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“…The control of hypertension is often complex, as it encompasses a variety of factors, ranging from individual aspects of access, difficulties in seeking health services, acquiring medications, following medical prescription, and adaptations to improve lifestyle changes (Macinko, Leventhal & Lima-Costa, 2018;Ferretto et al, 2020). As in this study, others show that supporting mHealth apps has the potential to increase adherence to treatment of patients with hypertension (Santo & Redfern, 2019;Parati et al, 2017).…”

Section: Discussionmentioning

confidence: 55%

“…Several studies state that participants who used technological resources as an intervention obtained better results when compared to the control group (Debon et al, 2020;Morawski et al, 2018;Andre, Wibawanti & Siswanto, 2019;Márquez Contreras et al, 2019), similar to our results. Furthermore, apps facilitate communication between patients and healthcare professionals and contribute to patient education (Santo & Redfern, 2019;Debon et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Using a mobile health app to improve patients’ adherence to hypertension treatment: a non-randomized clinical trial

Volpi

Biduski

Bellei

et al. 2021

PeerJ

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Poor adherence to hypertension treatment increases complications of the disease and is characterized by a lack of awareness and acceptance of ongoing treatment. Mobile health (mHealth) apps can optimize processes and facilitate access to health information by combining treatment methods with attractive solutions. In this study, we aimed at verifying the influence of using an mHealth app on patients’ adherence to hypertension treatment, also examining how user experience toward the app influenced the outcomes. A total of 49 participants completed the study, men and women, diagnosed with hypertension and ongoing medical treatment. For 12 weeks, the control group continued with conventional monitoring, while the experimental group used an mHealth app. From the experimental group, at baseline, 8% were non-adherent, 64% were partial adherents and 28% were adherent to the treatment. Baseline in the control group indicated 4.2% non-adherents, 58.3% partial adherents, and 37.5% adherents. After follow-up, the experimental group had an increase to 92% adherent, 8% partially adherent, and 0% non-adherent (P < 0.001). In the control group, adherence after follow-up remained virtually the same (P ≥ 0.999). Results of user experience were substantially positive and indicate that the participants in the experimental group had a satisfactory perception of the app. In conclusion, this study suggests that using an mHealth app can empower patients to manage their own health and increase adherence to hypertension treatment, especially when the app provides a positive user experience.

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“…This app is designed to facilitate a wide range of health issues and concern that is intended for use outside of the clinic. The review study also found that researchers and publishers of mHealth focused more on individual preventative diseases such as selfmanagement for diabetes [17], [18], [19], gout [20], chronic obstructive pulmonary disease [21], bipolar disorder [22] and bowel disease [ 23], stroke [24], [25], heart disease [26] and flu [27].…”

Section: Introductionmentioning

confidence: 99%

Application of Expert System with Smartphone-based Certainty Factor Method for Hypertension Risk Detection

Yendri¹,

Derisma²,

Yolanda³

et al. 2021

IJACSA

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Hypertension is a factor health problem with a high prevalence in Indonesia. The total amount of hypertension nationwide is 34.11%. There are only 1/2 were diagnosed, and the remaining 1/2 are undiagnosed. Certainty factor was needed to prove the certain or not of a fact in a metric form, and it commonly was used in expert systems. This method was perfect for diagnosing something uncertain. This research aimed to build a smartphone-based hypertension risk detection system. This system was built by MPX5500DP pressure sensor components that served for blood pressure measurement, Bluetooth module HC-05 as microcontroller data transmission, Arduino Uno as sensor data processing, and Smartphone as hypertension risk detection interface and database access. Measuring blood pressure on the user's right or left arm was used to test the system. Then the data was sent to the smartphone to be classified and processed by using the certainty factor method implanted in the android smartphone to detect the risk of hypertension and then followed by the selection of symptoms and risk factors of hypertension according to previous experience. The results showed that the success rate of the system in detecting the risk of hypertension was 100%, the mean error of the systolic value of the right arm was 2.092%, and the average error of the diastolic value of the right arm was 2.977%, while the average error of the systolic value of the left arm. 1.944% and the mean error of the left arm diastolic value was 2.800%.

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

Cited by 31 publications

References 41 publications

Utilizing Digital Health Technologies for Patient Education in Lifestyle Medicine

Utilizing Digital Health Technologies for Patient Education in Lifestyle Medicine

Using a mobile health app to improve patients’ adherence to hypertension treatment: a non-randomized clinical trial

Application of Expert System with Smartphone-based Certainty Factor Method for Hypertension Risk Detection

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