Mobile health applications in cardiac care

"Help in a Heartbeat?": A Systematic Evaluation of Mobile Health Applications (Apps) for Coronary Heart Disease

For patients with coronary heart disease (CHD) lifestyle changes and disease management are key aspects of treatment that could be facilitated by mobile health applications (MHA). However, the quality and functions of MHA for CHD are largely unknown, since reviews are missing. Therefore, this study assessed the general characteristics, quality, and functions of MHA for CHD. Hereby, the Google Play and Apple App stores were systematically searched using a web crawler. The general characteristics and quality of MHA were rated with the Mobile Application Rating Scale (MARS) by two independent raters. From 3078 identified MHA, 38 met the pre-defined criteria and were included in the assessment. Most MHA were affiliated with commercial companies (52.63%) and lacked an evidence-base. An overall average quality of MHA (M = 3.38, SD = 0.36) was found with deficiencies in information quality and engagement. The most common functions were provision of information and CHD risk score calculators. Further functions included reminders (e.g., for medication or exercises), feedback, and health management support. Most MHA (81.58%) had one or two functions and MHA with more features had mostly higher MARS ratings. In summary, this review demonstrated that a number of potentially helpful MHA for patients with CHD are commercially available. However, there is a lack of scientific evidence documenting their usability and clinical potential. Since it is difficult for patients and healthcare providers to find suitable and high-quality MHA, databases with professionally reviewed MHA are required.

The effect of the mobile "blood pressure management application" on hypertension self-management enhancement: a randomized controlled trial

BACKGROUND

Self-management of hypertension is of great significance given its increasing incidence and its associated disabilities. In view of the increased use of mobile health in medicine, the present study evaluated the effect of a self-management application on patient adherence to hypertension treatment.

METHODS

This clinical trial was performed on 120 hypertensive patients who were provided with a mobile intervention for 8 weeks and followed up until the 24th week. Data on the primary outcome (adherence to treatment) and secondary outcomes (adherence to the DASH diet, regular monitoring of blood pressure, and physical activity) were collected using a questionnaire and a mobile application, respectively. The inter-group change difference over time was analyzed using repeated measures ANOVA (general linear model).

RESULTS

The treatment adherence score increased by an average of 5.9 (95% CI 5.0-6.7) in the intervention group compared to the control group. The scores of "adherence to the low-fat and low-salt diet plans" were 1.7 (95% CI 1.3-2.1) and 1.5 (95% CI 1.2-1.9), respectively. Moreover, moderate physical activity increased to 100.0 min (95% CI 61.7-138.3) per week in the intervention group.

CONCLUSION

The treatment and control of blood pressure require a multifaceted approach given its complexity and multifactorial nature. Considering the widespread use of smartphones, mHealth interventions can be effective in self-management and better patient adherence to treatments. Our results showed that this application can be used as a successful tool for hypertension self-management in patients attending public hospitals in developing countries.

TRIAL REGISTRATION

Iran Randomized Clinical Trial Center IRCT2015111712211N2 . Registered on 1 January 2016.

Telemedicine as the New Outpatient Clinic Gone Digital: Position Paper From the Pandemic Health System REsilience PROGRAM (REPROGRAM) International Consortium (Part 2)

Technology has acted as a great enabler of patient continuity through remote consultation, ongoing monitoring, and patient education using telephone and videoconferencing in the coronavirus disease 2019 (COVID-19) era. The devastating impact of COVID-19 is bound to prevail beyond its current reign. The vulnerable sections of our community, including the elderly, those from lower socioeconomic backgrounds, those with multiple comorbidities, and immunocompromised patients, endure a relatively higher burden of a pandemic such as COVID-19. The rapid adoption of different technologies across countries, driven by the need to provide continued medical care in the era of social distancing, has catalyzed the penetration of telemedicine. Limiting the exposure of patients, healthcare workers, and systems is critical in controlling the viral spread. Telemedicine offers an opportunity to improve health systems delivery, access, and efficiency. This article critically examines the current telemedicine landscape and challenges in its adoption, toward remote/tele-delivery of care, across various medical specialties. The current consortium provides a roadmap and/or framework, along with recommendations, for telemedicine uptake and implementation in clinical practice during and beyond COVID-19.

A Framework for Competencies for the Use of Mobile Technologies in Psychiatry and Medicine: Scoping Review

BACKGROUND

To ensure quality care, clinicians need skills, knowledge, and attitudes related to technology that can be measured.

OBJECTIVE

This paper sought out competencies for mobile technologies and/or an approach to define them.

METHODS

A scoping review was conducted to answer the following research question, "What skills are needed for clinicians and trainees to provide quality care via mHealth, have they been published, and how can they be made measurable and reproducible to teach and assess them?" The review was conducted in accordance with the 6-stage scoping review process starting with a keyword search in PubMed/Medical Literature Analysis and Retrieval System Online, APA PsycNET, Cochrane, EMBASE, PsycINFO, Web of Science, and Scopus. The literature search focused on keywords in 4 concept areas: (1) competencies, (2) mobile technologies, (3) telemedicine mode, and (4) health. Moreover, 2 authors independently, in parallel, screened the search results for potentially relevant studies based on titles and abstracts. The authors reviewed the full-text articles for final inclusion based on inclusion/exclusion criteria. Inclusion criteria were keywords used from concept area 1 (competencies) and 2 (mobile technologies) and either 3 (telemedicine mode) or 4 (health). Exclusion criteria included, but were not limited to, keywords used from a concept area in isolation, discussion of skills abstractly, outline or listing of what clinicians need without detail, and listing immeasurable behaviors.

RESULTS

From a total of 1232 results, the authors found 78 papers eligible for a full-text review and found 14 papers directly relevant to the 4 key concepts. Although few studies specifically discussed skills, the majority were clinical studies, and the literature included no lists of measurable behaviors or competency sets for mobile technology. Therefore, a framework for mobile technology competencies was built according to the review, expert consensus, and recommendations of the Institute of Medicine's Health Professions Education Summit and Accreditation Council of Graduate Medical Education framework. This framework borrows from existing competency framework domains in telepsychiatry and social media (patient care, medical knowledge, practice-based learning and improvement, systems-based practice, professionalism, and interpersonal skills and communication) and added domains of mHealth clinical decision support, device/technology assessment/selection, and information flow management across an electronic health record platform. mHealth Asynchronous components require additional traditional learning, teaching, supervisory and evaluation practices. Interactive curricula with case-, problem-, and system-based teaching may help faculty focus on decision making and shape skills and attitudes to complement clinical exposure.

CONCLUSIONS

Research is needed on how to customize implementation and evaluation of mHealth competencies and to ensure skill development is linked to the quality of care. This will require the management of organizational change with technology and the creation of a positive electronic culture in a complex policy and regulatory environment.

Mobile Health, Smartphone/Device, and Apps for Psychiatry and Medicine: Competencies, Training, and Faculty Development Issues

Faculty and trainees need clinical skills, knowledge, and attitudes to ensure quality care using technology. Clinical faculty teach, supervise, and role model skills for trainees and interprofessional team members. Mobile health, smartphone/device, and app competencies may be situated within the graduate medical education milestone domains. This article outlines these competencies and aligns them with clinical care, teaching methods, and evaluation. These competencies have similarities and differences from in-person and telepsychiatric care and additional dimensions like clinical decision support, technology selection, and information flow management across an e-platform. Health systems must integrate in-person and technology-based care, while maintaining the therapeutic relationship.

Connected Health Technology for Cardiovascular Disease Prevention and Management

PURPOSE OF THE REVIEW

Advances in computing power and wireless technologies have reshaped our approach to patient monitoring. Medical grade sensors and apps that were once restricted to hospitals and specialized clinic are now widely available. Here, we review the current evidence supporting the use of connected health technologies for the prevention and management of cardiovascular disease in an effort to highlight gaps and future opportunities for innovation.

RECENT FINDINGS

Initial studies in connected health for cardiovascular disease prevention and management focused primarily on activity tracking and blood pressure monitoring but have since expanded to include a full panoply of novel sensors and pioneering smartphone apps with targeted interventions in diet, lipid management and risk assessment, smoking cessation, cardiac rehabilitation, heart failure, and arrhythmias. While outfitting patients with sensors and devices alone is infrequently a lasting solution, monitoring programs that include personalized insights based on patient-level data are more likely to lead to improved outcomes. Advances in this space have been driven by patients and researchers while healthcare systems remain slow to fully integrate and adequately adapt these new technologies into their workflows. Cardiovascular disease prevention and management continue to be key focus areas for clinicians and researchers in the connected health space. Exciting progress has been made though studies continue to suffer from small sample size and limited follow-up. Efforts that combine home patient monitoring, engagement, and personalized feedback are the most promising. Ultimately, combining patient-level ambulatory sensor data, electronic health records, and genomics using machine learning analytics will bring precision medicine closer to reality.

An Editorial Review of Mobile Health: Implications for the US Military Health System

Introduction

The United States Military Health System provides healthcare to a diverse patient population throughout the world. There are three distinct challenges that the Military Health System faces. (1) Providers have varying degrees of clinical training expertise and may be called upon to practice outside their usual scope of care. (2) There is geographic isolation of patients and providers with limited resources while stationed overseas. (3) Patients are at higher risk of breaks in continuity of care because of permanent change of duty stations, deployments, and retirement.

Materials and Methods

In this article we review the history of mobile health in both the civilian and military sectors, and how mobile health may be used to address the challenges unique to the United States Military Health System.

Results

There are many good initiatives in military mobile health, however they are decentralized and different across the services and military treatment facilities. We describe some military specific success stories with improving patient access to care and disease specific mobile health applications implemented.

Conclusions

Mobile health is a powerful platform which can help deliver standardized care in missions around the world and improve access to care for patients at military treatment facilities in the United States. The United States Military Health System would benefit greatly from creating universal mobile health applications to assist providers in patient access to care, military mission readiness, and disease specific modules. Future resources should be dedicated to the development of a mobile health application pool that is universally implemented across services to improve quality of care delivered at home and in theater by military providers.

Telepsychiatry and other technologies for integrated care: evidence base, best practice models and competencies

Telehealth facilitates integrated, patient-centred care. Synchronous video, telepsychiatry (TP), or telebehavioural health provide outcomes as good as in-person care. It also improves access to care, leverages expertise at a distance, and is effective for education and consultation to primary care. Other technologies on an e-behavioural health spectrum are also useful, like telephone, e-mail, text, and e-consults. This paper briefly organizes these technologies into low, mid and high intensity telehealth models and reviews the evidence base for interventions to primary care, and, specifically, for TP and integrated care (IC). Technology, mobile health, and IC competencies facilitate quality care. TP is a high intensity model and it is the best-studied option. Studies of IC are preliminary, but those with collaborative and consultative care show effectiveness. Low- and mid-intensity technology options like telephone, e-mail, text, and e-consults, may provide better access for patients and more timely provider communication and education. They are also probably more cost-effective and versatile for health system workflow. Research is needed upon all technology models related to IC for adult and paediatric primary care populations. Effective healthcare delivery matches the patients' needs with the model, emphasizes clinician competencies, standardizes interventions, and evaluates outcomes.

Comparing the effectiveness of the BPMAP (Blood Pressure Management Application) and usual care in self-management of primary hypertension and adherence to treatment in patients aged 30-60 years: study protocol for a randomized controlled trial

BACKGROUND

Hypertension is one of the most important and well-known risk factors for cardiovascular diseases. Unfortunately, in spite of effective treatments, adherence to the regular use of drugs and other nondrug treatments, such as lifestyle improvement, is often poor. This study evaluates the effectiveness of an educational, supportive intervention - in the form of a Blood Pressure Management Application (BPMAP) - on self-management in patients with primary hypertension on controlling the determinant factors of hypertension, and on adherence to treatment.

METHODS/DESIGN

A two-arm, parallel-design randomized controlled clinical trial will be conducted on 30 to 60 year-old patients with primary hypertension who are attending the Tehran Heart Center. One hundred and thirty-two (132) patients will be randomly assigned to the intervention and control (usual method) groups. The most important inclusion criteria are, having primary hypertension and being pharmacologically treated for it, and not having developed the complications of hypertension, such as myocardial infarction, cerebral stroke and cardiac insufficiency. The participants should be able to read Persian and be able to use the application. The most important outcomes of the study include adherence to treatment, weight control, and regular monitoring of blood pressure which are assessed in the primary assessment (baseline data questionnaire) and again at the 8th and 24th weeks. The intervention is a mobile application that has capabilities such as reminders and scientific and supportive information.

DISCUSSION

This application has been programmed to reduce many of the nonadherence factors of hypertension treatment. Therefore, the findings may contribute to a rise in adherence to treatment. If proven to have an appropriate impact, it may be extended for use in the national hypertension control plan.

TRIAL REGISTRATION

This study was registered in the Iran Randomized Clinical Trial Center under the number IRCT2015111712211N2 on 1 January 2016.