Literature DB >> 29644931

An Evaluation of a Diabetes Self-Management Education (DSME) Intervention Delivered Using Avatar-Based Technology: Certified Diabetes Educators' Ratings and Perceptions.

Joanne Duncan-Carnesciali1, Barbara C Wallace2, Michelle Odlum3.   

Abstract

Purpose The purpose of this study was to evaluate the perceptions that certified diabetes educators (CDEs), of diverse health professions, have of a culturally appropriate e-health intervention that used avatar-based technology. Methods Cross-sectional, survey-based design using quantitative and qualitative paradigms. A logic model framed the study, which centered on the broad and general concepts leading to study outcomes. In total, 198 CDEs participated in the evaluation. Participants were mostly female and represented an age range of 26 to 76 years. The profession representative of the sample was registered nurses. Study setting and data collection occurred at https://www.surveymonkey.com/r/AvatarVideoSurvey-for-Certified_Diabetes_Educators . Study instruments used were the Basic Demographics Survey (BD-13), Educational Material Use and Rating of Quality Scale (EMU-ROQ-9), Marlowe-Crowne Social Desirability Survey (MS-SOC-DES-CDE-13), Quality of Avatar Video Rating Scale (QAVRS-7), Recommend Avatar to Patients Scale (RAVTPS-3), Recommend Avatar Video to Health Professionals Scale (RAVTHP-3), and Avatar Video Applications Scale (AVAPP-1). Statistical analysis used included t tests, Pearson product moment correlations, backward stepwise regression, and content/thematic analysis. Results Age, ethnicity, Arab/Middle Eastern, Asian, and white/European descents were significant predictors of a high-quality rating of the video. Thematic and content analysis of the data revealed an overall positive perception of the video. Conclusions An e-health intervention grounded in evidence-based health behavior theories has potential to increase access to diabetes self-management education as evidenced in the ratings and perceptions of the video by CDEs.

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Year:  2018        PMID: 29644931     DOI: 10.1177/0145721718769474

Source DB:  PubMed          Journal:  Diabetes Educ        ISSN: 0145-7217            Impact factor:   2.140


  2 in total

1.  Standardized evaluation of the quality and persuasiveness of mobile health applications for diabetes management.

Authors:  A Geirhos; M Stephan; M Wehrle; C Mack; E-M Messner; A Schmitt; H Baumeister; Y Terhorst; L B Sander
Journal:  Sci Rep       Date:  2022-03-07       Impact factor: 4.996

2.  A Mobile App for Diabetes Management: Impact on Self-Efficacy Among Patients with Type 2 Diabetes at a Community Hospital.

Authors:  Yangkui Zhai; Wenjuan Yu
Journal:  Med Sci Monit       Date:  2020-11-16
  2 in total

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