Document Type

Article

Publication Date

7-19-2019

MeSH Terms

Health Promotion

Subject: LCSH

Health promotion

Disciplines

Dietetics and Clinical Nutrition

Abstract

Background: There are several social cognitive theories (SCTs) and models that support platform design in electronic health (eHealth) promotion trials. The rationale for this scoping review was to determine how social design features (informational aid, expressive support, gaming, and tailored content) are used to promote self-efficacy, engagement, knowledge, and behavior change. Objective: This study aimed to review a broad spectrum of digital health interventions in the literature seeking trials that use SCTs for the design of eHealth applications. Methods: The author conducted a systematic scoping review of 161 Web-based health interventions from published randomized clinical trials using 1 or more tools to address the social cognitive determinants in their website design from January 2006 to April 2016. An iterative approach was used in the selection of studies and data extraction. The studies were analyzed for quality and coded for type of social design features employed. Results: Expressive interaction tools were found in 48.6% (54/111) of studies categorized as a strong recommendation by the Joanna Briggs Institute criteria. Overall, less than half of the studies addressed participant social support and motivational needs (43.8%). The vast majority of studies (100%) relied on the use of the Web for delivery of informational aid and tailored content for the individual participant (75.9%). Conclusions: This review fills a research gap by linking social theory to Web strategy to improve the impact and sustainability of eHealth interventions. A Digital Health Intervention Model was developed to provide a framework to enhance future Web-based health intervention design and execution.

DOI

10.2196/11544

Publisher Citation

Grace-Farfaglia P. Social Cognitive Theories and Electronic Health Design: Scoping Review. JMIR human factors. 2019 Jul 19;6(3):e11544. PMID: 31325290. doi: 10.2196/11544.

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