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Engagement in a Diabetes Self-management Website: Usage Patterns and Generalizability of Program Use

BACKGROUND: Increased 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 sust...

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Autores principales: Glasgow, Russell E, Christiansen, Steven M, Kurz, Deanna, King, Diane K, Woolley, Tim, Faber, Andrew J, Estabrooks, Paul A, Strycker, Lisa, Toobert, Deborah, Dickman, Jennifer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Gunther Eysenbach 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3221359/
https://www.ncbi.nlm.nih.gov/pubmed/21371992
http://dx.doi.org/10.2196/jmir.1391
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author Glasgow, Russell E
Christiansen, Steven M
Kurz, Deanna
King, Diane K
Woolley, Tim
Faber, Andrew J
Estabrooks, Paul A
Strycker, Lisa
Toobert, Deborah
Dickman, Jennifer
author_facet Glasgow, Russell E
Christiansen, Steven M
Kurz, Deanna
King, Diane K
Woolley, Tim
Faber, Andrew J
Estabrooks, Paul A
Strycker, Lisa
Toobert, Deborah
Dickman, Jennifer
author_sort Glasgow, Russell E
collection PubMed
description BACKGROUND: Increased 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. OBJECTIVE: This 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. METHODS: We 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. RESULTS: Of the 270 intervention participants, the average age was 60, the average BMI was 34.9 kg/m(2), 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. CONCLUSIONS: Participants 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 REGISTRATION: NCT00987285; http://clinicaltrials.gov/show/NCT00987285 (Archived by WebCite at http://www.webcitation.org/5vpe4RHTV)
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spelling pubmed-32213592011-11-21 Engagement in a Diabetes Self-management Website: Usage Patterns and Generalizability of Program Use Glasgow, Russell E Christiansen, Steven M Kurz, Deanna King, Diane K Woolley, Tim Faber, Andrew J Estabrooks, Paul A Strycker, Lisa Toobert, Deborah Dickman, Jennifer J Med Internet Res Original Paper BACKGROUND: Increased 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. OBJECTIVE: This 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. METHODS: We 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. RESULTS: Of the 270 intervention participants, the average age was 60, the average BMI was 34.9 kg/m(2), 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. CONCLUSIONS: Participants 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 REGISTRATION: NCT00987285; http://clinicaltrials.gov/show/NCT00987285 (Archived by WebCite at http://www.webcitation.org/5vpe4RHTV) Gunther Eysenbach 2011-01-25 /pmc/articles/PMC3221359/ /pubmed/21371992 http://dx.doi.org/10.2196/jmir.1391 Text en ©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. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 25.01.2011. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Glasgow, Russell E
Christiansen, Steven M
Kurz, Deanna
King, Diane K
Woolley, Tim
Faber, Andrew J
Estabrooks, Paul A
Strycker, Lisa
Toobert, Deborah
Dickman, Jennifer
Engagement in a Diabetes Self-management Website: Usage Patterns and Generalizability of Program Use
title Engagement in a Diabetes Self-management Website: Usage Patterns and Generalizability of Program Use
title_full Engagement in a Diabetes Self-management Website: Usage Patterns and Generalizability of Program Use
title_fullStr Engagement in a Diabetes Self-management Website: Usage Patterns and Generalizability of Program Use
title_full_unstemmed Engagement in a Diabetes Self-management Website: Usage Patterns and Generalizability of Program Use
title_short Engagement in a Diabetes Self-management Website: Usage Patterns and Generalizability of Program Use
title_sort engagement in a diabetes self-management website: usage patterns and generalizability of program use
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3221359/
https://www.ncbi.nlm.nih.gov/pubmed/21371992
http://dx.doi.org/10.2196/jmir.1391
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