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Africa
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The Climate Emergency and Zero-Carbon Healthcare
Published in Vincent La Placa, Julia Morgan, Social Science Perspectives on Global Public Health, 2023
Whilst mHealth has the potential to reduce the overall healthcare carbon footprint by streamlining costly medical practices, such as disease screening and treatment support, there are barriers that hinder its implementation. These include geographical access and internet connectivity difficulties, policy/regulatory barriers, limited awareness of mHealth applications, limited healthcare workers’ competence in mHealth, and lack of funding (Osei and Mashamba-Thompson, 2021).
Nursing Informatics Today and Future Perspectives for Healthcare
Published in Salvatore Volpe, Health Informatics, 2022
Victoria L. Tiase, Whende M. Carroll
Large amounts of healthcare data, rich with patient information, collected from multiple sources, are known as “big data.”26 Examples of incorporating big data into nursing practice include manipulating and harnessing health data that are generated and collected using mobile health (mHealth) applications, wearable, sensors, and other devices. These patient-generated health data are an abundant source of information that may not be captured during a healthcare visit due to lack of time or poor recall. Some mHealth apps can serve as powerful tools to enhance the patient–provider dialogue, support shared decision making, and thus add value to the relationship by allowing for communication that extends beyond the visit. Moreover, big data encourages precision medicine practices and advances in genome sequencing. This data-driven application enables nurses to have access to genetic information that allows for personalized treatments and individualized care. The power of big data helps engage patients and their families in their care and health information management. Understanding and utilizing big data is a critical for NIs.27 Value realization for personalized health IT solutions combined with greater adoption of patient-facing technologies driven by big data increases collaboration and shared decision making and paves a path to the future. (Editor’s note: see chapter 2 Patient Engagement, see chapter 19 IoT.)
CME Provision
Published in Robin Stevenson, Learning and Behaviour in Medicine, 2022
mHealth is a rapidly growing industry increasingly used by patients to help manage their diseases. In 2012, there were approximately 40,000 mobile device applications (apps) related to health [1]. mHealth includes telemedicine, electronic health records, disease monitoring, patient appointments and reminders. mHealth enduring materials are the basis for self-directed point-of-care CME when physicians use their mobile phones or smart watches to access medical databases at the bedside or in the clinic. Examples of these resources include UpToDate [2], a comprehensive clinical decision support resource; Edocate [3], a virtual patient simulation platform; ONCOassist [4], a decision support app in oncology; and YouTube videos or other software platforms created by specialist societies or commercial providers. When physicians use mHealth for point-of-care CME, they are of course repairing PPGs that they have discovered themselves.
Development of a Mobile Application for Detection of Adolescent Mental Health Problems and Feasibility Assessment with Primary Health Care Workers
Published in Issues in Mental Health Nursing, 2022
Gunter Groen, Astrid Jörns-Presentati, Anja Dessauvagie, Soraya Seedat, Leigh L. van den Heuvel, Sharain Suliman, Gerhard Grobler, Ronelle Jansen, Lonia Mwape, Patricia Mukwato, Fabian Chapima, Joonas Korhonen, Dan J. Stein, Deborah Jonker, John Mudenda, Timo Turunen, Kārlis Valtiņš, Anete Beinaroviča, Leva Grada, Mari Lahti
A review by Hurt et al. (Hurt et al., 2016) on the effectiveness of mHealth interventions in LMIC evaluated seven studies of which five showed significant improvements in clinical outcomes, treatment adherence, and health communication. Another benefit was the ability to receive expert advice in underserved regions. Common barriers to the successful implementation of mHealth interventions in developing countries were poor infrastructure, lack of equipment, technology gap, human resource issues, and time or work conflicts (Kruse et al., 2019). A systematic review of 44 studies of mHealth projects in Africa demonstrated that their success is based on accessibility to technology and resources, acceptance of mHealth technology, low cost, adaptation to local contexts, strong stakeholder collaboration, and government involvement. Threats included unreliable infrastructure, dependency on funding, unclear health care system responsibilities, and a lack of evidence on cost-effectiveness (Aranda-Jan et al., 2014).
The efficiency of the EmERGE pathway to provide continuity of care for medically stable people living with HIV in Belgium
Published in Acta Clinica Belgica, 2022
Eduard J. Beck, Sundhiya Mandalia, Platonas Yfantopoulos, Christopher I. Jones, Stephen Bremner, Jennifer Whetham, Marie Wittevrongel, Ludwig Apers
The issues raised in this study are, mutatis mutandis, also relevant for people with other chronic diseases and funding should be sought towards the development and implementation of similar pathways for other diseases. mHealth is an important component of a country’s health information infrastructure, which enables tracking the use, cost, outcome, and impact of health services by individuals across different facilities in a country. Linking personal health information across sites and over time is an integral part of achieving Universal Health Coverage [56]; apart from assisting the development of longitudinal personal health records, it also provides information to monitor and evaluate the use, cost, outcome and impact of local, sub-national and national health services.
Do Something Different as an Intervention for Perceived Stress Reduction in Graduate Counseling Students
Published in Journal of Technology in Human Services, 2022
Julie L. Quigley, Laura Schmuldt, Sherry Todd, Sara Bender
More than two thirds of the world’s population have a mobile phone (Ofcom, 2015). New mobile communication methods have rapidly expanded and provided innovative ways to deliver health behavior change interventions (e.g., mHealth; Ben-Zeev et al., 2015). Text messaging is now the most widely used form of communication (Ofcom, 2015). Text messaging used in this way is a form of mHealth, which is under the umbrella of electronic health, a term commonly used to describe all computer-based or digital health technologies and health informatics (Pine & Fletcher, 2015). The advantages of mHealth include ease of use, low cost, expanded population reach, and support between health appointments. mHealth also has unique features that have attributes of traditional health communication methods, such as personalized communication; tailored interventions or messages; interactive components such as videos, surveys, and two-way communication; and the ability to repeat messages sent (Berrouiguet et al., 2016). Text messaging is also an alternative for reaching clients who otherwise may not be able to receive face-to-face services, due to mental health or transportation barriers.