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Salman Bin Naeem, Mehreen Azam, Maged N. Kamel Boulos and Rubina Bhatti
(1) Aims and Objectives: Mobile health (mHealth) is increasingly becoming a favorite healthcare delivery solution in underserved areas around the globe. This study aims to identify the influence of technology?organization?environment (TOE) factors on mHe...
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Mehreen Azam, Salman Bin Naeem, Maged N. Kamel Boulos and Anthony Faiola
This study was conducted with objectives to measure and validate the unified theory of the acceptance and use of technology (UTAUT) model as well as to identify the predictors of mobile health (mHealth) technology adoption among healthcare professionals ...
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Jean-Baptiste Tylcz, Max Schreiber, Dominik Michalski, Joseph Classen and Galina Ivanova
Daily physical activity is one of the key factors to improve health and support the prevention of a variety of chronic diseases e.g., hypertension, depression or acute events such as strokes. Self-monitoring by the patients has shown to improve adherence...
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Sasan Adibi
This paper presents the mHealth Predictive Outbreak for COVID-19 (mPOC) framework, an autonomous platform based on wearable Internet of Medical Things (IoMT) devices for outbreak prediction and monitoring. It utilizes real-time physiological and environm...
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Indriana Widya Puspitasari, Fedri Ruluwedrata Rinawan, Wanda Gusdya Purnama, Hadi Susiarno and Ari Indra Susanti
With the widespread application of digital healthcare, mobile health (mHealth) services are also developing in maternal and child health, primarily through community-based services, such as Posyandu in Indonesia. Patients need media for consultation and ...
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Fedri Ruluwedrata Rinawan, Afina Faza, Ari Indra Susanti, Wanda Gusdya Purnama, Noormarina Indraswari, Didah, Dani Ferdian, Siti Nur Fatimah, Ayi Purbasari, Arief Zulianto, Atriany Nilam Sari, Intan Nurma Yulita, Muhammad Fiqri Abdi Rabbi and Riki Ridwana
Posyandu is an Indonesian mother-child health, community-based healthcare. The provision of the Posyandu data quality map is crucial for analyzing results but is limited. This research aimed to (a) demonstrate data quality analysis on its completeness, a...
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Sungchul Lee, Eunmin Hwang, Yanghee Kim, Fatih Demir, Hyunhwa Lee, Joshua J. Mosher, Eunyoung Jang and Kiho Lim
With the prevalence of obesity in adolescents, and its long-term influence on their overall health, there is a large body of research exploring better ways to reduce the rate of obesity. A traditional way of maintaining an adequate body mass index (BMI),...
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Stephanie L. Orstad, Lauren Gerchow, Nikhil R. Patel, Meghana Reddy, Christina Hernandez, Dawn K. Wilson and Melanie Jay
Despite the popularity of commercially available wearable activity monitors (WAMs), there is a paucity of consistent methodology for analyzing large amounts of accelerometer data from these devices. This multimethod study aimed to inform appropriate Fitb...
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Aliyah Dosani, Harshmeet Arora and Sahil Mazmudar
Women in low- and middle-income countries have high rates of perinatal depression. As smartphones become increasingly accessible around the world, there is an opportunity to explore innovative mHealth tools for the prevention, screening, and management o...
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Alicia Inés Zanfrillo, María Artola
Pág. 13
La rápida penetración de las tecnologías móviles en el ámbito de la salud posicionó a estos dispositivos como protagonistas de una variedad de innovaciones que facilitaron el acceso a información sanitaria y la gestión de prestaciones médicas. La impleme...
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