Evidence map›Paper›PMID 24713420›Full record

ArticleJMIR research protocols2014

Feasibility and preliminary effects of a virtual environment for adults with type 2 diabetes: pilot study.

Constance Johnson, Mark Feinglos, Katherine Pereira, Nancy Hassell, Jim Blascovich, Janet Nicollerat, Henry F Beresford, Janet Levy, Allison Vorderstrasse

Registry-linked trialAbstract read
In one paragraph

Article in JMIR research protocols, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05286892 (Diabetes Learning in Virtual Environments Just In Time for Community reEntry), which is not on this map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05286892 narecruitingnot on this mapstarted 2023, after this paper: background citation

Diabetes Learning in Virtual Environments Just In Time for Community reEntry (Diabetes LIVE JustICE)

TypeinterventionalSponsorLouise ReaganRan2023 to 2026Enrolled128ConditionsDiabetes Mellitus, Type 1, Diabetes Mellitus, Type 2ArmsDiabetes LIVE JustICE, Enhanced Education
3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Constance JohnsonDuke University, Durham, NC, United States. constance.johnson@dm.duke.edu.
Mark Feinglos
Katherine Pereira
Nancy Hassell
Jim Blascovich
Janet Nicollerat
Henry F Beresford
Janet Levy
Allison Vorderstrasse

Funding

eHealth: Second Life Impacts Diabetes Education & Self-Management (SLIDES)R21LM010727 · NLM · DUKE UNIVERSITY · PI JOHNSON, CONSTANCE MARGARET · 2010 to 2011
$421k
NLM NIH HHS R21 LM010727
6 · The paper itself

Abstract

backgroundInnovative interventions that empower patients in diabetes self-management (DSM) are needed to provide accessible, sustainable, cost-effective patient education and support that surpass current noninteractive interventions. Skills acquired in digital virtual environments (VEs) affect behaviors in the physical world. Some VEs are programmed as real-time three-dimensional representations of various settings via the Internet. For this research, a theoretically grounded VE that facilitates DSM was developed and pilot tested. It offered weekly synchronous DSM education classes, group meetings, and social networking in a community in which participants practiced real world skills such as grocery shopping, exercising, and dining out, allowing for interactive knowledge application. The VE was available 24/7 on the Internet, minimizing access barriers.

objectiveThe objective of this study was to evaluate the feasibility and efficacy of participation in a VE for DSM education and support.

methodsThis study utilized a single group, pre-mid-post measure design. At 0, 3, and 6 months, we assessed participants' perceived VE usability and usefulness, self-efficacy, diabetes self-management behaviors, perceived social support, and diabetes knowledge using validated survey measures; and we recorded metabolic indicators (HbA1c, BP, BMI). Process data were continuously collected in the VE (log-ins, voice recordings, locations visited, objects interacted with, and movement). Data analysis included descriptive statistics, t tests to evaluate changes in mediators and outcomes over time, and depiction of utilization and movement data.

resultsWe enrolled 20 participants (13/20, 65% white, 7/20, 35% black), with an age range of 39-72 years (mean age, 54 years) and diabetes duration from 3 months to 25 years. At baseline, 95% (18/19) and 79% (15/19) of participants rated usefulness and ease of use as high on validated surveys with no significant changes at 3 or 6 months. Participants logged into the site a mean of 2.5 hours/week over the course of 6 months. High DSM class attendance was reflected by the largest percentage of time spent in the classroom (48.6%). Self-efficacy, social support, and foot care showed significant improvement (P<.05). There were improvement trends in clinical outcomes that were clinically meaningful but did not reach statistical significance given the small sample size.

conclusionsBecause relatively little is known about usability, acceptability, and efficacy of health interventions in VEs, this study constitutes an important, innovative first step in exploring the potential of VEs for facilitating DSM. The preliminary data suggest that VEs provide a feasible and useful platform for patients and educators that affects self-management and related mediators. Flexible access to both synchronous and asynchronous diabetes education, skill building activities, and support from a home computer remove barriers to attending clinic-based meetings. This program has potential for improving DSM in an easily disseminated alternative model.

Indexed as

consumer health informationdiabetes mellitus, type 2health communicationself-careuser-computer interfacevirtual environments software

Identifiers

PMID24713420
PMCPMC4004161

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.