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The use of a proactive dissemination strategy to optimize reach of an internet-delivered computer tailored lifestyle intervention

BACKGROUND: The use of reactive strategies to disseminate effective Internet-delivered lifestyle interventions restricts their level of reach within the target population. This stresses the need to invest in proactive strategies to offer these interventions to the target population. The present stud...

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Autores principales: Schneider, Francine, Schulz, Daniela N, Pouwels, Loes HL, de Vries, Hein, van Osch, Liesbeth ADM
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3750934/
https://www.ncbi.nlm.nih.gov/pubmed/23914991
http://dx.doi.org/10.1186/1471-2458-13-721
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author Schneider, Francine
Schulz, Daniela N
Pouwels, Loes HL
de Vries, Hein
van Osch, Liesbeth ADM
author_facet Schneider, Francine
Schulz, Daniela N
Pouwels, Loes HL
de Vries, Hein
van Osch, Liesbeth ADM
author_sort Schneider, Francine
collection PubMed
description BACKGROUND: The use of reactive strategies to disseminate effective Internet-delivered lifestyle interventions restricts their level of reach within the target population. This stresses the need to invest in proactive strategies to offer these interventions to the target population. The present study used a proactive strategy to increase reach of an Internet-delivered multi component computer tailored intervention, by embedding the intervention in an existing online health monitoring system of the Regional Public Health Services in the Netherlands. METHODS: The research population consisted of Dutch adults who were invited to participate in the Adult Health Monitor (N = 96,388) offered by the Regional Public Health Services. This Monitor consisted of an online or a written questionnaire. A prospective design was used to determine levels of reach, by focusing on actual participation in the lifestyle intervention. Furthermore, adequacy of reach among the target group was assessed by composing detailed profiles of intervention users. Participants’ characteristics, like demographics, behavioral and mental health status and quality of life, were included in the model as predictors. RESULTS: A total of 41,155 (43%) people participated in the Adult Health Monitor, of which 41% (n = 16,940) filled out the online version. More than half of the online participants indicated their interest (n = 9169; 54%) in the computer tailored intervention and 5168 participants (31%) actually participated in the Internet-delivered computer tailored intervention. Males, older respondents and individuals with a higher educational degree were significantly more likely to participate in the intervention. Furthermore, results indicated that especially participants with a relatively healthier lifestyle and a healthy BMI were likely to participate. CONCLUSIONS: With one out of three online Adult Health Monitor participants actually participating in the computer tailored lifestyle intervention, the employed proactive dissemination strategy succeeded in ensuring relatively high levels of reach. Reach among at-risk individuals (e.g. low socioeconomic status and unhealthy lifestyle) was modest. It is therefore essential to further optimize reach by putting additional effort into increasing interest in the lifestyle intervention among at-risk individuals and to encourage them to actually use the intervention. TRIAL REGISTRATION: Dutch Trial Register (NTR1786) and Medical Ethics Committee of Maastricht University and the University Hospital Maastricht (NL2723506809/MEC0903016).
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spelling pubmed-37509342013-08-24 The use of a proactive dissemination strategy to optimize reach of an internet-delivered computer tailored lifestyle intervention Schneider, Francine Schulz, Daniela N Pouwels, Loes HL de Vries, Hein van Osch, Liesbeth ADM BMC Public Health Research Article BACKGROUND: The use of reactive strategies to disseminate effective Internet-delivered lifestyle interventions restricts their level of reach within the target population. This stresses the need to invest in proactive strategies to offer these interventions to the target population. The present study used a proactive strategy to increase reach of an Internet-delivered multi component computer tailored intervention, by embedding the intervention in an existing online health monitoring system of the Regional Public Health Services in the Netherlands. METHODS: The research population consisted of Dutch adults who were invited to participate in the Adult Health Monitor (N = 96,388) offered by the Regional Public Health Services. This Monitor consisted of an online or a written questionnaire. A prospective design was used to determine levels of reach, by focusing on actual participation in the lifestyle intervention. Furthermore, adequacy of reach among the target group was assessed by composing detailed profiles of intervention users. Participants’ characteristics, like demographics, behavioral and mental health status and quality of life, were included in the model as predictors. RESULTS: A total of 41,155 (43%) people participated in the Adult Health Monitor, of which 41% (n = 16,940) filled out the online version. More than half of the online participants indicated their interest (n = 9169; 54%) in the computer tailored intervention and 5168 participants (31%) actually participated in the Internet-delivered computer tailored intervention. Males, older respondents and individuals with a higher educational degree were significantly more likely to participate in the intervention. Furthermore, results indicated that especially participants with a relatively healthier lifestyle and a healthy BMI were likely to participate. CONCLUSIONS: With one out of three online Adult Health Monitor participants actually participating in the computer tailored lifestyle intervention, the employed proactive dissemination strategy succeeded in ensuring relatively high levels of reach. Reach among at-risk individuals (e.g. low socioeconomic status and unhealthy lifestyle) was modest. It is therefore essential to further optimize reach by putting additional effort into increasing interest in the lifestyle intervention among at-risk individuals and to encourage them to actually use the intervention. TRIAL REGISTRATION: Dutch Trial Register (NTR1786) and Medical Ethics Committee of Maastricht University and the University Hospital Maastricht (NL2723506809/MEC0903016). BioMed Central 2013-08-05 /pmc/articles/PMC3750934/ /pubmed/23914991 http://dx.doi.org/10.1186/1471-2458-13-721 Text en Copyright © 2013 Schneider et al.; licensee BioMed Central Ltd. 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 is properly cited.
spellingShingle Research Article
Schneider, Francine
Schulz, Daniela N
Pouwels, Loes HL
de Vries, Hein
van Osch, Liesbeth ADM
The use of a proactive dissemination strategy to optimize reach of an internet-delivered computer tailored lifestyle intervention
title The use of a proactive dissemination strategy to optimize reach of an internet-delivered computer tailored lifestyle intervention
title_full The use of a proactive dissemination strategy to optimize reach of an internet-delivered computer tailored lifestyle intervention
title_fullStr The use of a proactive dissemination strategy to optimize reach of an internet-delivered computer tailored lifestyle intervention
title_full_unstemmed The use of a proactive dissemination strategy to optimize reach of an internet-delivered computer tailored lifestyle intervention
title_short The use of a proactive dissemination strategy to optimize reach of an internet-delivered computer tailored lifestyle intervention
title_sort use of a proactive dissemination strategy to optimize reach of an internet-delivered computer tailored lifestyle intervention
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3750934/
https://www.ncbi.nlm.nih.gov/pubmed/23914991
http://dx.doi.org/10.1186/1471-2458-13-721
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