| Literature DB >> 35495550 |
S Mitchell1, P Gardiner1, G Weigel1, M Rosal2.
Abstract
Background: The current state of diabetes self-management (DSM) education and support for diabetic patients is inadequate, especially for minority women who experience disproportionately high rates of diabetes mellitus (DM) in the US. While DSM education and support enables individuals with diabetes to make positive lifestyle choices and achieve clinical goals, this type of support is difficult to deliver in medical practice settings. Virtual reality can assist DM patients and their clinical teams by providing effective educational tools in an engaging, learner-centered environment that fosters self-efficacy and skill proficiency.Entities:
Keywords: Diabetes self-management; Medical group visits; RCT; Type 2 Diabetes; Virtual world
Year: 2016 PMID: 35495550 PMCID: PMC9053866 DOI: 10.4172/2167-0870.1000272
Source DB: PubMed Journal: Open Access J Clin Trials ISSN: 1179-1519
Figure 1:Schematic overview of trial design, broken down by language preference (English vs. Spanish) and randomization into intervention condition (Virtual world) and control condition (face to face). Each cohort for the medical group visits will consist of 8–10 women each.
Women in Control 2.0 Study Outcomes and Measures by Specific Aim.
| Specific Aim | Outcome | Instrument | Timeline |
|---|---|---|---|
| (1) RCT of DSM Training Using Virtual World vs. Face to Face Format to Increase Physical Activity Levels | |||
| Primary Outcome | Change in Physical Activity Level (METs/hr) | Change in accelerometer readings | Baseline, Post- interventio n & 6 months follow up |
| (2) RCT of DSM Training Using Virtual World vs. Face to Face Format to Reduce HbAlc Levels | |||
| Primary Outcome | Change in disease control | Change in HbAlc from BMC laboratory blood testing results | |
| Change in patient activation | Change in PAM 13 score | ||
| Medication Adherence | Prescription fulfilment ratio per 12b2 database claims data analysis | ||
| Depression | Patient Health Questionnaire (PHQ-8) | ||
| Secondary Outcomes | Improvement in cholesterol, hypertension and body weight | Serum LDL/HDL, BP, BMI from BMC laboratory results, BP readings from home blood pressure kits, weight/ height measurements | Baseline, Post- interventio n & 6 months follow up |
| Health Related Quality of Life | Q-LES-Q Screening Survey | ||
| Dietary Habits | Multiple measures of 24-hr dietary recall | ||
| Functional Status | Sheehan Disability Scale | ||
| Stress | Perceived Stress Scale (PSS-10) Survey | ||
| Social Support | MOS Social Support Survey | ||
| Health service utilization | Self-report & chart review of hospitalizations, PCP & specialist visits | ||
| (3) Qualitative Ethnographic Study of Participant Behaviors in Virtual Environment | |||
| (Virtual World [Second Life] Participants ONLY) | |||
| Measure of Positive Technological Development to assess influence of technology on learning and skill development | Positive Technological Development Questionnaire (PTDQ) | Baseline, Post- interventio n & 6 months follow up | |
| Primary Outcomes | Characterize participants’ virtual world resource use, user patterns and peer interactions in Second Life | Ethnographic study of both learning environments from researcher’s field notes and session audio recordings | |
| Characterize Patients’ perceived DSM educational experience | Key informant interviews with participants in virtual world and responses to PTDQ questionnaire | Performed during 8- week session blocks | |
| Characterize patient- clinician interactions in Second Life group visits | Ethnographic study of Second Life clinician consultations and key informant interviews | ||
| Exploratory Outcomes | Changes in Social Network Metrics | Social Network Diagnostic Tool | Baseline, Post- interventio n & 6 months follow up |
| Use of social media | Self-report tracking of logins for contracts with group peers via survey | Performed during 8- week session blocks | |