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What is the effectiveness of a personalised video story after an online diabetes risk assessment? A Randomised Controlled Trial
BACKGROUND: Online risk assessment tools for type 2 diabetes communicate risk information to motivate individuals to take actions and reduce their risk if needed. The impact of these tools on follow-up behaviours (e.g., General Practitioner (GP) visits, improvement in health behaviours) is unknown....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8893700/ https://www.ncbi.nlm.nih.gov/pubmed/35239723 http://dx.doi.org/10.1371/journal.pone.0264749 |
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author | Williams, Susan L. To, Quyen Vandelanotte, Corneel |
author_facet | Williams, Susan L. To, Quyen Vandelanotte, Corneel |
author_sort | Williams, Susan L. |
collection | PubMed |
description | BACKGROUND: Online risk assessment tools for type 2 diabetes communicate risk information to motivate individuals to take actions and reduce their risk if needed. The impact of these tools on follow-up behaviours (e.g., General Practitioner (GP) visits, improvement in health behaviours) is unknown. This study examined effectiveness of a personalised video story and text-based message on GP and health professional visitations and health behaviours, of individuals assessed as ‘high risk’ following completion of the online Australian Type 2 Diabetes Risk Assessment Tool (AUSDRISK). METHODS: A Randomised Controlled Trial (conducted between October 2018 and April 2019) included 477 participants with a high score (≥12). The control group received a text-based message (TM) and the intervention group received both the text-based message and a personalised video story (TM+VS) encouraging them to take follow-up action. Participants reported follow-up actions (one- and three months), and physical activity (PA), dietary behaviours and body weight (baseline, one and three months). Generalized Linear Mixed Models and chi-squared tests were used to test differences in outcomes between groups over time. RESULTS: The intervention was not more effective for the TM+VS group compared to the TM only group (p-values>0.05 for all outcomes). More participants in the TM only group (49.8% compared to 40.0% in the VS+TM group) visited either a GP or health professional (p = 0.18). During the 3-month follow-up: 44.9% of all participants visited a GP (36.7%) and/or other health professional (31.0%). Significant improvements were found between baseline and three months, in both groups for weekly physical activity, daily fruit and vegetable intake and weight status. CONCLUSIONS: Messages provided with online diabetes risk assessment tools to those with high-risk, positively influence GP and health professional visitations and promote short-term improvements in health behaviours that may contribute to an overall reduction in the development of type 2 diabetes. TRIAL REGISTRATION: Australia New Zealand Clinical Trials Registry; ACTRN12619000809134. |
format | Online Article Text |
id | pubmed-8893700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-88937002022-03-04 What is the effectiveness of a personalised video story after an online diabetes risk assessment? A Randomised Controlled Trial Williams, Susan L. To, Quyen Vandelanotte, Corneel PLoS One Research Article BACKGROUND: Online risk assessment tools for type 2 diabetes communicate risk information to motivate individuals to take actions and reduce their risk if needed. The impact of these tools on follow-up behaviours (e.g., General Practitioner (GP) visits, improvement in health behaviours) is unknown. This study examined effectiveness of a personalised video story and text-based message on GP and health professional visitations and health behaviours, of individuals assessed as ‘high risk’ following completion of the online Australian Type 2 Diabetes Risk Assessment Tool (AUSDRISK). METHODS: A Randomised Controlled Trial (conducted between October 2018 and April 2019) included 477 participants with a high score (≥12). The control group received a text-based message (TM) and the intervention group received both the text-based message and a personalised video story (TM+VS) encouraging them to take follow-up action. Participants reported follow-up actions (one- and three months), and physical activity (PA), dietary behaviours and body weight (baseline, one and three months). Generalized Linear Mixed Models and chi-squared tests were used to test differences in outcomes between groups over time. RESULTS: The intervention was not more effective for the TM+VS group compared to the TM only group (p-values>0.05 for all outcomes). More participants in the TM only group (49.8% compared to 40.0% in the VS+TM group) visited either a GP or health professional (p = 0.18). During the 3-month follow-up: 44.9% of all participants visited a GP (36.7%) and/or other health professional (31.0%). Significant improvements were found between baseline and three months, in both groups for weekly physical activity, daily fruit and vegetable intake and weight status. CONCLUSIONS: Messages provided with online diabetes risk assessment tools to those with high-risk, positively influence GP and health professional visitations and promote short-term improvements in health behaviours that may contribute to an overall reduction in the development of type 2 diabetes. TRIAL REGISTRATION: Australia New Zealand Clinical Trials Registry; ACTRN12619000809134. Public Library of Science 2022-03-03 /pmc/articles/PMC8893700/ /pubmed/35239723 http://dx.doi.org/10.1371/journal.pone.0264749 Text en © 2022 Williams et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Williams, Susan L. To, Quyen Vandelanotte, Corneel What is the effectiveness of a personalised video story after an online diabetes risk assessment? A Randomised Controlled Trial |
title | What is the effectiveness of a personalised video story after an online diabetes risk assessment? A Randomised Controlled Trial |
title_full | What is the effectiveness of a personalised video story after an online diabetes risk assessment? A Randomised Controlled Trial |
title_fullStr | What is the effectiveness of a personalised video story after an online diabetes risk assessment? A Randomised Controlled Trial |
title_full_unstemmed | What is the effectiveness of a personalised video story after an online diabetes risk assessment? A Randomised Controlled Trial |
title_short | What is the effectiveness of a personalised video story after an online diabetes risk assessment? A Randomised Controlled Trial |
title_sort | what is the effectiveness of a personalised video story after an online diabetes risk assessment? a randomised controlled trial |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8893700/ https://www.ncbi.nlm.nih.gov/pubmed/35239723 http://dx.doi.org/10.1371/journal.pone.0264749 |
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