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E-health, mobile health, mhealth

Anthony Faiola, Richard J Holden
People are at risk from noncommunicable diseases (NCD) and poor health habits, with interventions like medications and surgery carrying further risk of adverse effects. This paper addresses ways people are increasingly moving to healthy living medicine (HLM) to mitigate such health threats. HLM-seekers increasingly leverage mobile technologies that enable control of personal health information, collaboration with clinicians/other agents to establish healthy living practices. For example, outcomes from consumer health informatics research includes empowering users to take charge of their health through active participation in decision-making about healthcare delivery...
December 27, 2016: Progress in Cardiovascular Diseases
Kerstin A Kessel, Marco Me Vogel, Friederike Schmidt-Graf, Stephanie E Combs
BACKGROUND: Mobile apps are an evolving trend in the medical field. To date, few apps in an oncological context exist. OBJECTIVE: The aim was to analyze the attitude of health care professionals (HCPs) toward telemedicine, mHealth, and mobile apps in the field of oncology. METHODS: We developed and conducted an online survey with 24 questions evaluating HCPs' general attitude toward telemedicine and patients using medical mobile apps. Specific questions on the possible functionality for patients and the resulting advantages and disadvantages for both the patients' and HCPs' daily clinical routine were evaluated...
November 24, 2016: Journal of Medical Internet Research
Zachary W Adams, Erin A McClure, Kevin M Gray, Carla Kmett Danielson, Frank A Treiber, Kenneth J Ruggiero
Psychiatric disorders are linked to a variety of biological, psychological, and contextual causes and consequences. Laboratory studies have elucidated the importance of several key physiological and behavioral biomarkers in the study of psychiatric disorders, but much less is known about the role of these biomarkers in naturalistic settings. These gaps are largely driven by methodological barriers to assessing biomarker data rapidly, reliably, and frequently outside the clinic or laboratory. Mobile health (mHealth) tools offer new opportunities to study relevant biomarkers in concert with other types of data (e...
February 2017: Journal of Psychiatric Research
Gabrielle M Turner-McGrievy, Sarah B Hales, Danielle E Schoffman, Homay Valafar, Keith Brazendale, R Glenn Weaver, Michael W Beets, Michael D Wirth, Nitin Shivappa, Trisha Mandes, James R Hébert, Sara Wilcox, Andrew Hester, Matthew J McGrievy
Both mobile apps and responsive-design websites (web apps) can be used to deliver mobile health (mHealth) interventions, but it can be difficult to discern which to use in research. The goal of this paper is to present four case studies from behavioral interventions that developed either a mobile app or a web app for research and present an information table to help researchers determine which mobile option would work best for them. Four behavioral intervention case studies (two developed a mobile app, and two developed a web app) presented include time, cost, and expertise...
November 3, 2016: Translational Behavioral Medicine
C K Nikolaou, M E J Lean
Mobile-Health (mHealth) is the fastest-developing eHealth sector, with over 100 000 health applications (apps) currently available. Overweight/obesity is a problem of wide public concern that is potentially treatable/preventable through mHealth. This study describes the current weight-management app-market. Five app stores (Apple, Google, Amazon, Windows and Blackberry) in UK, US, Russia, Japan and Germany, Italy, France, China, Australia and Canada were searched for keywords: 'weight', 'calorie', 'weight-loss', 'slimming', 'diet', 'dietitian' and 'overweight' in January/February 2016 using App-Annie software...
January 2017: International Journal of Obesity: Journal of the International Association for the Study of Obesity
Amy D Nguyen, Melissa T Baysari, Diluk R W Kannangara, Amina Tariq, Annie Y S Lau, Johanna I Westbrook, Richard O Day
BACKGROUND: Gout is an arthritic condition that is characterised by extremely painful, debilitating acute attacks and eventual joint and organ damage if not controlled. Despite the availability of very effective therapies that, if adhered to, will prevent acute attacks and long-term damage, the disorder is increasingly prevalent. There is an urgent need to improve self-management of gout. OBJECTIVES: Mobile health (mHealth) applications ('apps'), designed to facilitate management of chronic conditions, present novel opportunities for supporting patient self-management of gout...
October 2016: International Journal of Medical Informatics
Mary Amoakoh-Coleman, Alexander Berend-Jan Borgstein, Stephanie Fv Sondaal, Diederick E Grobbee, Andrea Solnes Miltenburg, Mirjam Verwijs, Evelyn K Ansah, Joyce L Browne, Kerstin Klipstein-Grobusch
BACKGROUND: Low- and middle-income countries (LMICs) face the highest burden of maternal and neonatal deaths. Concurrently, they have the lowest number of physicians. Innovative methods such as the exchange of health-related information using mobile devices (mHealth) may support health care workers in the provision of antenatal, delivery, and postnatal care to improve maternal and neonatal outcomes in LMICs. OBJECTIVE: We conducted a systematic review evaluating the effectiveness of mHealth interventions targeting health care workers to improve maternal and neonatal outcomes in LMIC...
2016: Journal of Medical Internet Research
Pantelis Angelidis, Leslie Berman, Maria de la Luz Casas-Perez, Leo Anthony Celi, George E Dafoulas, Alon Dagan, Braiam Escobar, Diego M Lopez, Julieta Noguez, Juan Sebastian Osorio-Valencia, Charles Otine, Kenneth Paik, Luis Rojas-Potosi, Andreas L Symeonidis, Eric Winkler
The challenge of providing quality healthcare to underserved populations in low- and middle-income countries (LMICs) has attracted increasing attention from information and communication technology (ICT) professionals interested in providing societal impact through their work. Sana is an organisation hosted at the Institute for Medical Engineering and Science at the Massachusetts Institute of Technology that was established out of this interest. Over the past several years, Sana has developed a model of organising mobile health bootcamp and hackathon events in LMICs with the goal of encouraging increased collaboration between ICT and medical professionals and leveraging the growing prevalence of cellphones to provide health solutions in resource limited settings...
October 2016: Journal of Medical Engineering & Technology
Silvana Mareva, David Thomson, Pietro Marenco, Víctor Estal Muñoz, Caroline V Ott, Barbara Schmidt, Tobias Wingen, Angelos P Kassianos
Health-Related Quality of Life (HRQoL) is a construct of increasing importance in modern healthcare, and has typically been assessed using retrospective instruments. While such measures have been shown to have predictive utility for clinical outcomes, several cognitive biases associated with human recall and current mood state may undermine their validity and reliability. Retrospective tools can be further criticized for their lack of ecology, as individuals are usually assessed in less natural settings such as hospitals and health centers, and may be obliged to spend time and money traveling to receive assessment...
2016: Frontiers in Psychology
Fatema Khatun, Anita E Heywood, Pradeep K Ray, Abbas Bhuiya, Siaw-Teng Liaw
INTRODUCTION: There are increasing numbers of mHealth initiatives in middle and low income countries aimed at improving health outcomes. Bangladesh is no exception with more than 20 mobile health (mHealth) initiatives in place. A recent study in Bangladesh examined community readiness for mHealth using a framework based on quantitative data. Given the importance of a framework and the complementary role of qualitative exploration, this paper presents data from a qualitative study which complements findings from the quantitative study...
September 2016: International Journal of Medical Informatics
Kathleen T Hickey, Nicole R Hauser, Laura E Valente, Teresa C Riga, Ashton P Frulla, Ruth Masterson Creber, William Whang, Hasan Garan, Haomiao Jia, Robert R Sciacca, Daniel Y Wang
BACKGROUND: Atrial fibrillation is a major public health problem and is the most common cardiac arrhythmia, affecting an estimated 2.7 million Americans. The true prevalence of atrial fibrillation is likely underestimated because episodes are often sporadic; therefore, it is challenging to detect and record an occurrence in a "real world" setting. To date, mobile health tools that promote earlier detection and treatment of atrial fibrillation and improvement in self-management behaviors and knowledge have not been evaluated...
July 16, 2016: BMC Cardiovascular Disorders
Jason E Owen, Michaela Curran, Erin O'Carroll Bantum, Robert Hanneman
Web and mobile (mHealth) interventions have promise for improving health outcomes, but engagement and attrition may be reducing effect sizes. Because social networks can improve engagement, which is a key mechanism of action, understanding the structure and potential impact of social networks could be key to improving mHealth effects. This study (a) evaluates social network characteristics of four distinct communication channels (discussion board, chat, e-mail, and blog) in a large social networking intervention, (b) predicts membership in online communities, and (c) evaluates whether community membership impacts engagement...
June 2016: Cyberpsychology, Behavior and Social Networking
Elizabeth C Voth, Nelly D Oelke, Mary E Jung
BACKGROUND: Use of mobile health (mHealth) technology is on an exponential rise. mHealth apps have the capability to reach a large number of individuals, but until now have lacked the integration of evidence-based theoretical constructs to increase exercise behavior in users. OBJECTIVE: The purpose of this study was to assess the effectiveness of a theory-based, self-monitoring app on exercise and self-monitoring behavior over 8 weeks. METHODS: A total of 56 adults (mean age 40 years, SD 13) were randomly assigned to either receive the mHealth app (experimental; n=28) or not to receive the app (control; n=28)...
2016: JMIR MHealth and UHealth
Lan Thi Hoang Vu, Ngan Thi Kim Nguyen, Hanh Thi Duc Tran, Nazeem Muhajarine
BACKGROUND: Socio-economic development in Vietnam has resulted in increased internal migration particularly among young women seeking employment opportunities in cities. Vietnamese female migrants who enter new environments often encounter the loss or neglect of their right to access sexual and reproductive health services. To address this, a mobile health (mHealth) intervention model was implemented over 12 months (2013-2014) in a factory in the Long Bien industrial zone of Hanoi, Vietnam...
May 14, 2016: Reproductive Health
Kelly M Collins, Richard F Armenta, Jazmine Cuevas-Mota, Lin Liu, Steffanie A Strathdee, Richard S Garfein
BACKGROUND: New and innovative methods of delivering interventions are needed to further reduce risky behaviors and increase overall health among persons who inject drugs (PWID). Mobile health (mHealth) interventions have potential for reaching PWID; however, little is known about mobile technology use (MTU) in this population. In this study, the authors identify patterns of MTU and identified factors associated with MTU among a cohort of PWID. METHODS: Data were collected through a longitudinal cohort study examining drug use, risk behaviors, and health status among PWID in San Diego, California...
October 2016: Substance Abuse
Sarah Hales, Gabrielle Turner-McGrievy, Arjang Fahim, Andrew Freix, Sara Wilcox, Rachel E Davis, Michael Huhns, Homayoun Valafar
BACKGROUND: Mobile health (mHealth) has shown promise as a way to deliver weight loss interventions, including connecting users for social support. OBJECTIVE: To develop, refine, and pilot test the Social Pounds Off Digitally (POD) Android app for personalized health monitoring and interaction. METHODS: Adults who were overweight and obese with Android smartphones (BMI 25-49.9 kg/m(2); N=9) were recruited for a 2-month weight loss pilot intervention and iterative usability testing of the Social POD app...
2016: JMIR Human Factors
Smisha Agarwal, Amnesty E LeFevre, Jaime Lee, Kelly L'Engle, Garrett Mehl, Chaitali Sinha, Alain Labrique
No abstract text is available yet for this article.
March 17, 2016: BMJ: British Medical Journal
Corneel Vandelanotte, Andre M Müller, Camille E Short, Melanie Hingle, Nicole Nathan, Susan L Williams, Michael L Lopez, Sanjoti Parekh, Carol A Maher
Because physical inactivity and unhealthy diets are highly prevalent, there is a need for cost-effective interventions that can reach large populations. Electronic health (eHealth) and mobile health (mHealth) solutions have shown promising outcomes and have expanded rapidly in the past decade. The purpose of this report is to provide an overview of the state of the evidence for the use of eHealth and mHealth in improving physical activity and nutrition behaviors in general and special populations. The role of theory in eHealth and mHealth interventions is addressed, as are methodological issues...
March 2016: Journal of Nutrition Education and Behavior
Kate Jongbloed, Anton J Friedman, Margo E Pearce, Mia L Van Der Kop, Vicky Thomas, Lou Demerais, Sherri Pooyak, Martin T Schechter, Richard T Lester, Patricia M Spittal
BACKGROUND: Despite successes in preventing and treating HIV, Indigenous people in Canada continue to face disproportionately high rates of HIV infection. Programs that support healing from lifetime trauma, support connection to culture, and reduce drug-related harms are critical to preventing HIV among young Indigenous people who use drugs. The Cedar Project WelTel mHealth intervention proposed here is a structured mobile-phone initiative to connect young Indigenous people who use drugs with Cedar Case Managers in a community-based setting...
March 9, 2016: Trials
Nneka Lotea Ifejika, Elizabeth Anne Noser, James C Grotta, Sean I Savitz
RATIONALE: Swipe out Stroke (SOS) examines the use of a smartphone-based mobile application to reduce obesity in high-risk minority stroke patients. At record-high levels in the United States, obesity disproportionately affects minorities and is highly correlated with cerebrovascular disease. Unfortunately, structured weight loss programs are expensive, and compliance significantly decreases upon program completion. Mobile health (mHealth) technology is an innovative, cost-effective way to bridge this gap...
July 2016: International Journal of Stroke: Official Journal of the International Stroke Society
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