Vetrovsky, T;
Kral, N;
Pfeiferova, M;
Kuhnova, J;
Novak, J;
Wahlich, C;
Jaklova, A;
Jurkova, K;
Janek, M;
Omcirk, D;
et al.
Vetrovsky, T; Kral, N; Pfeiferova, M; Kuhnova, J; Novak, J; Wahlich, C; Jaklova, A; Jurkova, K; Janek, M; Omcirk, D; Capek, V; Maes, I; Steffl, M; Ussher, MH; Tufano, JJ; Elavsky, S; Van Dyck, D; Cimler, R; Yates, T; Harris, T; Bohumil, S
(2023)
mHealth intervention delivered in general practice to increase physical activity and reduce sedentary behaviour of patients with prediabetes and type 2 diabetes (ENERGISED): rationale and study protocol for a pragmatic randomised controlled trial.
BMC Public Health, 23.
p. 613.
ISSN 1471-2458
https://doi.org/10.1186/s12889-023-15513-1
SGUL Authors: Ussher, Michael Henry
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Abstract
Background The growing number of patients with type 2 diabetes and prediabetes is a major public health concern. Physical activity is a cornerstone of diabetes management and may prevent its onset in prediabetes patients. Despite this, many patients with (pre)diabetes remain physically inactive. Primary care physicians are well-situated to deliver interventions to increase their patients' physical activity levels. However, effective and sustainable physical activity interventions for (pre)diabetes patients that can be translated into routine primary care are lacking. Methods We describe the rationale and protocol for a 12-month pragmatic, multicentre, randomised, controlled trial assessing the effectiveness of an mHealth intervention delivered in general practice to increase physical activity and reduce sedentary behaviour of patients with prediabetes and type 2 diabetes (ENERGISED). Twenty-one general practices will recruit 340 patients with (pre)diabetes during routine health check-ups. Patients allocated to the active control arm will receive a Fitbit activity tracker to self-monitor their daily steps and try to achieve the recommended step goal. Patients allocated to the intervention arm will additionally receive the mHealth intervention, including the delivery of several text messages per week, with some of them delivered just in time, based on data continuously collected by the Fitbit tracker. The trial consists of two phases, each lasting six months: the lead-in phase, when the mHealth intervention will be supported with human phone counselling, and the maintenance phase, when the intervention will be fully automated. The primary outcome, average ambulatory activity (steps/day) measured by a wrist-worn accelerometer, will be assessed at the end of the maintenance phase at 12 months. Discussion The trial has several strengths, such as the choice of active control to isolate the net effect of the intervention beyond simple self-monitoring with an activity tracker, broad eligibility criteria allowing for the inclusion of patients without a smartphone, procedures to minimise selection bias, and involvement of a relatively large number of general practices. These design choices contribute to the trial’s pragmatic character and ensure that the intervention, if effective, can be translated into routine primary care practice, allowing important public health benefits.
Item Type: | Article | ||||||
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Additional Information: | © The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data | ||||||
Keywords: | 1117 Public Health and Health Services, Public Health | ||||||
SGUL Research Institute / Research Centre: | Academic Structure > Population Health Research Institute (INPH) | ||||||
Journal or Publication Title: | BMC Public Health | ||||||
ISSN: | 1471-2458 | ||||||
Dates: |
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Publisher License: | Creative Commons: Attribution 4.0 | ||||||
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URI: | https://openaccess.sgul.ac.uk/id/eprint/115253 | ||||||
Publisher's version: | https://doi.org/10.1186/s12889-023-15513-1 |
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