A Review of Current Heart Failure Apps

Background: Heart disease is the second leading cause of death in Canada, with tremendous economic impacts on the healthcare system. Currently, there are several smartphone based heart failure (HF) apps available for patients. These apps provide information to patients regarding HF, and how to monitor and manage their condition. This review describes the current literature on HF apps, and describes the features offered by these apps. Methods and Results: Peer-reviewed literature was searched and revealed only a limited number of studies (8) related to HF apps, including HeartMapp, SUPPORT-HF and CardioManager.  A Google-based grey literature search was conducted, and Google Play and the Apple Store were also searched to identify additional HF-related apps. These searches revealed several other HF-related apps (total 11), the features of which are described in the current review. Conclusion: This review will help healthcare providers select apps for themselves and recommend HF apps to their patients that provide the most suitable disease and management information and monitoring capability. The insight will also help software developers design apps in the future that will provide better support to patients with HF and help the healthcare providers monitor their condition better

ARIA 2016 : Care pathways implementing emerging technologies for predictive medicine in rhinitis and asthma across the life cycle

European Innovation Partnership on Active and Healthy Ageing Reference Site MACVIA-France, EU Structural and Development Fund Languedoc-Roussillon, ARIA.Peer reviewedPublisher PD

Methods and measures used to evaluate patient-operated mobile health interventions:Scoping literature review

Background: Despite the prevalence of mobile health (mHealth) technologies and observations of their impacts on patients’ health, there is still no consensus on how best to evaluate these tools for patient self-management of chronic conditions. Researchers currently do not have guidelines on which qualitative or quantitative factors to measure or how to gather these reliable data. Objective: This study aimed to document the methods and both qualitative and quantitative measures used to assess mHealth apps and systems intended for use by patients for the self-management of chronic noncommunicable diseases. Methods: A scoping review was performed, and PubMed, MEDLINE, Google Scholar, and ProQuest Research Library were searched for literature published in English between January 1, 2015, and January 18, 2019. Search terms included combinations of the description of the intention of the intervention (eg, self-efficacy and self-management) and description of the intervention platform (eg, mobile app and sensor). Article selection was based on whether the intervention described a patient with a chronic noncommunicable disease as the primary user of a tool or system that would always be available for self-management. The extracted data included study design, health conditions, participants, intervention type (app or system), methods used, and measured qualitative and quantitative data. Results: A total of 31 studies met the eligibility criteria. Studies were classified as either those that evaluated mHealth apps (ie, single devices; n=15) or mHealth systems (ie, more than one tool; n=17), and one study evaluated both apps and systems. App interventions mainly targeted mental health conditions (including Post-Traumatic Stress Disorder), followed by diabetes and cardiovascular and heart diseases; among the 17 studies that described mHealth systems, most involved patients diagnosed with cardiovascular and heart disease, followed by diabetes, respiratory disease, mental health conditions, cancer, and multiple illnesses. The most common evaluation method was collection of usage logs (n=21), followed by standardized questionnaires (n=18) and ad-hoc questionnaires (n=13). The most common measure was app interaction (n=19), followed by usability/feasibility (n=17) and patient-reported health data via the app (n=15). Conclusions: This review demonstrates that health intervention studies are taking advantage of the additional resources that mHealth technologies provide. As mHealth technologies become more prevalent, the call for evidence includes the impacts on patients’ self-efficacy and engagement, in addition to traditional measures. However, considering the unstructured data forms, diverse use, and various platforms of mHealth, it can be challenging to select the right methods and measures to evaluate mHealth technologies. The inclusion of app usage logs, patient-involved methods, and other approaches to determine the impact of mHealth is an important step forward in health intervention research. We hope that this overview will become a catalogue of the possible ways in which mHealth has been and can be integrated into research practice

Review and Analysis of mHealth Applications : Development and Evaluation of a Heart Diseases Self-Management App

Este trabajo tiene dos objetivos principales. El primero es realizar una revisión de las apps móviles existentes centradas en enfermedades o condiciones no comunicables, especialmente en el campo de la cardiología. Esta revisión se basó en las condiciones más prevalentes, las enfermedades líderes en mortalidad y las enfermedades cardíacas. Fue además complementada con una revisión de Sistemas de Ayuda a la Decisión Móviles (SADM). El segundo objetivo es el diseño, creación y desarrollo de una app móvil innovadora en el campo de la cardiología, con el objetivo de copar un hueco comercial encontrado en la revisión anterior. Para llevar a cabo dicho objetivo, varios estudios fueron realizados para solucionar los problemas encontrados. La experiencia aprendida es compartida con investigadores y desarrolladores con el objetivo de ayudarles en el proceso de creación de apps de mSaludDepartamento de Teoría de la Señal y Comunicaciones, e Ingeniería Telemátic

Telemedicine in COPD: An Overview by Topics

Introduction: COPD is a major cause of morbidity and mortality worldwide and carries a huge and growing economic and social burden. Telemedicine might allow the care of patients with limited access to health services and improve their self-management. During the COVID-19 pandemic, patient's safety represents one of the main reasons why we might use these tools to manage our patients. The authors conducted a literature search in MEDLINE database. The retrieval form of the Medical Subject Headings (Mesh) was ((Telemedicine OR Tele-rehabilitation OR Telemonitoring OR mHealth OR Ehealth OR Telehealth) AND COPD). We only included systematic reviews, reviews, meta-analysis, clinical trials and randomized-control trials, in the English language, with the selected search items in title or abstract, and published from January 1st 2015 to 31st May 2020 (n = 56). There was a positive tendency toward benefits in tele-rehabilitation, health-education and self-management, early detection of COPD exacerbations, psychosocial support and smoking cessation, but the heterogeneity of clinical trials and reviews limits the extent to which this value can be understood. Telemonitoring interventions and cost-effectiveness had contradictory results. The literature on teleconsultation was scarce during this period. The non-inferiority tendency of telemedicine programmes comparing to conventional COPD management seems an opportunity to deliver quality healthcare to COPD patients, with a guarantee of patient's safety, especially during the COVID-19 outbreak.info:eu-repo/semantics/publishedVersio

Mobile Health Technologies

Mobile Health Technologies, also known as mHealth technologies, have emerged, amongst healthcare providers, as the ultimate Technologies-of-Choice for the 21st century in delivering not only transformative change in healthcare delivery, but also critical health information to different communities of practice in integrated healthcare information systems. mHealth technologies nurture seamless platforms and pragmatic tools for managing pertinent health information across the continuum of different healthcare providers. mHealth technologies commonly utilize mobile medical devices, monitoring and wireless devices, and/or telemedicine in healthcare delivery and health research. Today, mHealth technologies provide opportunities to record and monitor conditions of patients with chronic diseases such as asthma, Chronic Obstructive Pulmonary Diseases (COPD) and diabetes mellitus. The intent of this book is to enlighten readers about the theories and applications of mHealth technologies in the healthcare domain

eHealth in Chronic Diseases

This book provides a review of the management of chronic diseases (evaluation and treatment) through eHealth. Studies that examine how eHealth can help to prevent, evaluate, or treat chronic diseases and their outcomes are included