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A new general medical journal for the 21st centrury, focusing on innovation in health and medical research
i-JMR is a general medical journal with a focus on innovation in health, health care, and medicine - through new medical techniques and innovative ideas and/or research, including—but not limited to—technology, clinical informatics, sociotechnical and organizational health care innovations, or groundbreaking research.
Published by JMIR Publications, publisher of JMIR, the leading eHealth/mHealth journal (Impact Factor 2017: 4.671), i-JMR is a JMIR "sister journal" with a projected impact factor of about 2.03 (2016) which features a rapid and thorough peer-review process, professional copyediting, professional production of PDF, XHTML, and XML proofs.
i-JMR is indexed in PubMed and archived in PubMed Central.
i-JMR is also indexed in Clarivate Analytics (formerly the IP and Science Division of Thomson Reuters) new Emerging Sources Citation Index (ESCI).
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Background: When health intervention research is web-based, the impact on health outcomes depends on whether researchers are developing processes that embody social cognitive theory and support the pa...
Background: When health intervention research is web-based, the impact on health outcomes depends on whether researchers are developing processes that embody social cognitive theory and support the participant’s self-efficacy needs. Objective: This study aims to review the literature on web-based health interventions for evidence of theory-based methodologies for online health intervention, focusing specifically on design features that enhance health outcomes through enhancement of self-efficacy, engagement, knowledge, and behavior change. Methods: The author conducted a systematic scoping review of studies of 161 web-based health interventions from published clinical trials using one or more social theories in their website design from January 2006-April 2016. An iterative approach was used in the selection of studies and data extraction. Results: Most of the published health intervention trials reviewed based study design on social cognitive theory. Relatively few researchers did not create web interactions that met the social and motivational needs of the participants sufficient to detect a significant statistical difference between groups. The vast majority relied on the use of the web as an informational aid and tailored content to the individual participant. A Digital Health Intervention Model was developed to provide a framework to enhance future web-based health intervention design and execution. Conclusions: Creating online environments where social presence and information richness as part of the overall design has several theoretical advantages. Online health intervention studies have generally reported medium sized effects, as well as high attrition rates. This review seeks to fill a research gap by linking social theory with web strategy to improve program delivery, sustainability, and outcomes.