Evidence map›Paper›PMID 21371992›Full record

Trial reportJournal of medical Internet research2011

Engagement in a diabetes self-management website: usage patterns and generalizability of program use.

Russell E Glasgow, Steven M Christiansen, Deanna Kurz, Diane K King, Tim Woolley, Andrew J Faber, Paul A Estabrooks, Lisa Strycker, Deborah Toobert, Jennifer Dickman

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00987285 (Linking Self-Management and Primary Care for Diabetes), which is not on this map. Cited by 140 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
140citing papers in PubMed, 15 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.

NCT00987285 nacompletednot on this map

Linking Self-Management and Primary Care for Diabetes

TypeinterventionalSponsorKaiser PermanenteRan2007 to 2014Enrolled463ConditionsType 2 Diabetes MellitusArmsCASM +, CASM
3 · Its place in the literature

Who cites it

140 citing papers in PubMed, 15 syntheses or guidelines pooled it.

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80 more citing papers are in PubMed but not listed here.

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

10 authors.

Russell E GlasgowInstitute for Health Research, Kaiser Permanente, Denver, CO, USA. russg@re-aim.net
Steven M Christiansen
Deanna Kurz
Diane K King
Tim Woolley
Andrew J Faber
Paul A Estabrooks
Lisa Strycker
Deborah Toobert
Jennifer Dickman

Funding

MED OFFICE INTERVENTION TO IMPROVE DIABETES SELF-CARER01DK035524 · NIDDK · UNIVERSITY OF ALASKA ANCHORAGE · PI KING, DIANE K · 1986 to 2011
$4.0M
NIDDK NIH HHS 2 R01 DK035524-21NIDDK NIH HHS R01 DK035524
6 · The paper itself

Abstract

backgroundIncreased access to the Internet and the availability of efficacious eHealth interventions offer great promise for assisting adults with diabetes to change and maintain health behaviors. A key concern is whether levels of engagement in Internet programs are sufficient to promote and sustain behavior change.

objectiveThis paper used automated data from an ongoing Internet-based diabetes self-management intervention study to calculate various indices of website engagement. The multimedia website involved goal setting, action planning, and self-monitoring as well as offering features such as "Ask an Expert" to enhance healthy eating, physical activity, and medication adherence. We also investigated participant characteristics associated with website engagement and the relationship between website use and 4-month behavioral and health outcomes.

methodsWe report on participants in a randomized controlled trial (RCT) who were randomized to receive (1) the website alone (n = 137) or (2) the website plus human support (n = 133) that included additional phone calls and group meetings. The website was available in English and Spanish and included features to enhance engagement and user experience. A number of engagement variables were calculated for each participant including number of log-ins, number of website components visited at least twice, number of days entering self-monitoring data, number of visits to the "Action Plan" section, and time on the website. Key outcomes included exercise, healthy eating, and medication adherence as well as body mass index (BMI) and biological variables related to cardiovascular disease risk.

resultsOf the 270 intervention participants, the average age was 60, the average BMI was 34.9 kg/m², 130 (48%) were female, and 62 (23%) self-reported Latino ethnicity. The number of participant visits to the website over 4 months ranged from 1 to 119 (mean 28 visits, median 18). Usage decreased from 70% of participants visiting at least weekly during the first 6 weeks to 47% during weeks 7 to 16. There were no significant differences between website only and website plus support conditions on most of the engagement variables. In total, 75% of participants entered self-monitoring data at least once per week. Exercise action plan pages were visited more often than medication taking and healthy eating pages (mean of 4.3 visits vs 2.8 and 2.0 respectively, P < .001). Spearman nonparametric correlations indicated few significant associations between patient characteristics and summary website engagement variables, and key factors such as ethnicity, baseline computer use, age, health literacy, and education were not related to use. Partial correlations indicated that engagement, especially in self-monitoring, was most consistently related to improvement in healthy eating (r = .20, P = .04) and reduction of dietary fat (r = -.31, P = .001). There was also a significant correlation between self-monitoring and improvement in exercise (r = .20, P = .033) but not with medication taking.

conclusionsParticipants visited the website fairly often and used all of the theoretically important sections, but engagement decreased over 4 months. Usage rates and patterns were similar for a wide range of participants, which has encouraging implications for the potential reach of online interventions.

trial registrationNCT00987285; http://clinicaltrials.gov/show/NCT00987285 (Archived by WebCite at http://www.webcitation.org/5vpe4RHTV).

Indexed as

Health BehaviorBlood Glucose Self-MonitoringBody Mass IndexDiabetes MellitusDietFemaleHumansInternetMaleMiddle AgedMotor ActivitySelf CareSocial SupportTime Factors

Identifiers

PMID21371992
PMCPMC3221359

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.