How to Fulfill the True Promise of “mHealth”

Collins, Francis S.

doi:10.1038/scientificamerican0712-16

Cited by 40 publications

(15 citation statements)

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“…Future work should aim to strengthen mHealth interventions in several ways: (i) explore the benefits of adding more frequent messages to provide positive reinforcement for patients who are performing well and reminders for patients whose performance has declined; (ii) explore ways to install mHealth programs on the mobile devices the patients may already be using to assist with acceptance and reduce costs; (iii) explore the benefits of data sharing and communicating between patients and clinicians to promote self‐management; (iv) identify opportunities for clinicians to incorporate the use of data from mHealth technologies into routine care of patients, such as accessing data when patients are being evaluated for unexpected problems, or reviewing data with patients during routine clinical visits; and (v) expand the evaluation of Pocket PATH to examine its efficacy in other transplant populations. As the use of mHealth technologies such as Pocket PATH continues to evolve, ongoing evaluation of their acceptance and efficacy is warranted for their promise of improving health outcomes to be fulfilled .…”

Section: Discussionmentioning

confidence: 99%

“…The connectivity, capabilities, and widespread use of mobile devices make mobile health (mHealth) technologies suitable for interventions that promote adherence, real‐time data collection for self‐monitoring, and self‐management. Furthermore, despite the widespread use of smartphones and availability of health applications, few rigorous trials have been conducted on the efficacy of mHealth interventions for improving self‐management in the real‐world setting . A systematic review of the effectiveness of mHealth disease management interventions supports the need for high‐quality, adequately powered trials .…”

Section: Introductionmentioning

confidence: 99%

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A Randomized Controlled Trial of a Mobile Health Intervention to Promote Self‐Management After Lung Transplantation

Dabbs

Song

Myers

et al. 2016

American Journal of Transplantation

124

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Lung transplant recipients are encouraged to perform self-management behaviors including: 1) monitoring health indicators, 2) adhering to their regimen, and 3) reporting abnormal health indicators to the transplant coordinator, yet performance is suboptimal. When hospital discharge was imminent, this two-group trial randomized 201 recipients to use either the-mHealth intervention (n=99), or usual care (n=102), to compare efficacy for promoting self-management behaviors (primary outcomes) and self-care agency, re-hospitalization and mortality (secondary outcomes) at home during the first year after transplant. The mHealth intervention group performed self-monitoring (OR=5.11, 95% CI 2.95–8.87, p<.001), adhered to medical regimen (OR=1.64, 95% CI 1.01–2.66, p=0.046) and reported abnormal health indicators (OR= 8.9, 95% CI 3.60–21.99, p<.001) more frequently than the usual care group. However, the two groups did not differ in re-hospitalization (OR= 0.78, 95% CI 0.36-1.66, p=.51) or mortality (HR= 1.71, 0.68-4.28, p=.25). The positive impact of the mHealth intervention on self-management behaviors suggests that the intervention holds promise and warrants further testing. TRIAL REGISTRATION ClinicalTrials.Gov NCT00818025

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Randomized Controlled Trial of a Mobile Health Intervention to Promote Self‐Management After Lung Transplantation

Dabbs

Song

Myers

et al. 2016

American Journal of Transplantation

124

View full text Add to dashboard Cite

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“…With the tremendous technological progress and prevalence of mobile devices, the disruptive potential of mobile health (mHealth), and also, more general, technology-enabled care, is frequently being discussed [87], [88]. A new generation of affordable sensors is able to collect health data outside of the clinic in an unprecedented quality and quantity.…”

Section: Continuous Healthcarementioning

confidence: 99%

Going Digital: A Survey on Digitalization and Large-Scale Data Analytics in Healthcare

et al. 2016

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We provide an overview of the recent trends towards digitalization and large scale data analytics in healthcare. It is expected that these trends are instrumental in the dramatic changes in the way healthcare will be organized in the future. We discuss the recent political initiatives designed to shift care delivery processes from paper to electronic, with the goals of more effective treatments with better outcomes; cost pressure is a major driver of innovation. We describe newly developed networks of healthcare providers, research organizations and commercial vendors to jointly analyze data for the development of decision support systems. We address the trend towards continuous healthcare where health is monitored by wearable and stationary devices; a related development is that patients increasingly assume responsibility for their own health data. Finally we discuss recent initiatives towards a personalized medicine, based on advances in molecular medicine, data management, and data analytics.

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“…It is here that the benefits of mHealth, using real-time continuous biological and environmental data collection, can greatly improve understanding of the underlying causes of disease, particularly malaria, while dealing with the inherent lack of infrastructures and Internet in developing countries (Collins, 2012).…”

Section: Web Languages and Mhealth Applicationsmentioning

confidence: 99%

Fighting a moving target: Leapfrogging to new information systems for malaria vector monitoring and control

Bragança

Sousa

Charlwood

2014

Preprint

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In order to adapt control efforts to the moving target of malaria, new ways of rapidly processing and using data are required to produce usable information. Portable electronic devices with software applications, collectively known as mHealth, are increasingly used to assist health services and manage patient information. Here we describe the development of an mHealth system, using mobile phones, for data collection and analysis in resourceconstrained environments. The system overcomes many of the difficulties presented by other mHealth systems. An asynchronous, Internet connection-independent data collection system, similar to web-based architecture, is proposed. Reporting and advanced statistical and epidemiological analysis, with external data integration, such as environmental datasets, is demonstrated by a pilot assessment of the system in Mozambique. We argue that this technology can provide the entomological and epidemiological information needed for sensible decision-making processes and the development of public health policies regarding malaria control. AbstractIn order to adapt control efforts to the moving target of malaria, new ways of rapidly processing and using data are required to produce usable information. Portable electronic devices with software applications, collectively known as mHealth, are increasingly used to assist health services and manage patient information. Here we describe the development of an mHealth system, using mobile phones, for data collection and analysis in resource-constrained environments.The system overcomes many of the difficulties presented by other mHealth systems. An asynchronous, Internet connection-independent data collection system, similar to web-based architecture, is proposed. Reporting and advanced statistical and epidemiological analysis, with external data integration, such as environmental datasets, is demonstrated by a pilot assessment of the system in Mozambique.We argue that this technology can provide the entomological and epidemiological information needed for sensible decision-making processes and the development of public health policies regarding malaria control.

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How to Fulfill the True Promise of “mHealth”

Cited by 40 publications

References 0 publications

A Randomized Controlled Trial of a Mobile Health Intervention to Promote Self‐Management After Lung Transplantation

A Randomized Controlled Trial of a Mobile Health Intervention to Promote Self‐Management After Lung Transplantation

Going Digital: A Survey on Digitalization and Large-Scale Data Analytics in Healthcare

Fighting a moving target: Leapfrogging to new information systems for malaria vector monitoring and control

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