4.6 Article

Mobile Health Technology Evaluation The mHealth Evidence Workshop

Journal

AMERICAN JOURNAL OF PREVENTIVE MEDICINE
Volume 45, Issue 2, Pages 228-236

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.amepre.2013.03.017

Keywords

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Funding

  1. Intramural NIH HHS [Z99 OD999999] Funding Source: Medline
  2. NCATS NIH HHS [UL1 TR000150] Funding Source: Medline
  3. NIDA NIH HHS [P50 DA010075] Funding Source: Medline
  4. NIMH NIH HHS [P30 MH058107] Funding Source: Medline
  5. Direct For Computer & Info Scie & Enginr
  6. Division Of Computer and Network Systems [1212901] Funding Source: National Science Foundation
  7. Direct For Computer & Info Scie & Enginr
  8. Div Of Information & Intelligent Systems [1231754] Funding Source: National Science Foundation
  9. Division Of Computer and Network Systems
  10. Direct For Computer & Info Scie & Enginr [0910878] Funding Source: National Science Foundation

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Creative use of new mobile and wearable health information and sensing technologies (mHealth) has the potential to reduce the cost of health care and improve well-being in numerous ways. These applications are being developed in a variety of domains, but rigorous research is needed to examine the potential, as well as the challenges, of utilizing mobile technologies to improve health outcomes. Currently, evidence is sparse for the efficacy of mHealth. Although these technologies may be appealing and seemingly innocuous, research is needed to assess when, where, and for whom mHealth devices, apps, and systems are efficacious. In order to outline an approach to evidence generation in the field of mHealth that would ensure research is conducted on a rigorous empirical and theoretic foundation, on August 16, 2011, researchers gathered for the mHealth Evidence Workshop at NIH. The current paper presents the results of the workshop. Although the discussions at the meeting were cross-cutting, the areas covered can be categorized broadly into three areas: (1) evaluating assessments; (2) evaluating interventions; and (3) reshaping evidence generation using mHealth. This paper brings these concepts together to describe current evaluation standards, discuss future possibilities, and set a grand goal for the emerging field of mHealth research. Published by Elsevier Inc. on behalf of American Journal of Preventive Medicine

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