Personalized E-Coaching in Cardiovascular Risk Reduction: A Randomized Controlled Trial

Objectives: To assess whether electronic (e-) coaching, using personalized web-based lifestyle and risk factor counselling with additional email prompts, provides additional risk reduction when added to standard of care (SOC) in individuals at increased risk. Methods: Between June 2013 and May 2015,...

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Autores principales: Mohammed Y. Khanji, Armida Balawon, Redha Boubertakh, Leonard Hofstra, Jagat Narula, Myriam Hunink, Francesca Pugliese, Steffen E. Petersen
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Publicado: Ubiquity Press 2019
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spelling oai:doaj.org-article:4528af7dbae04b148382b9eebc1fda4b2021-12-02T03:32:04ZPersonalized E-Coaching in Cardiovascular Risk Reduction: A Randomized Controlled Trial2214-999610.5334/aogh.2496https://doaj.org/article/4528af7dbae04b148382b9eebc1fda4b2019-07-01T00:00:00Zhttps://annalsofglobalhealth.org/articles/2496https://doaj.org/toc/2214-9996Objectives: To assess whether electronic (e-) coaching, using personalized web-based lifestyle and risk factor counselling with additional email prompts, provides additional risk reduction when added to standard of care (SOC) in individuals at increased risk. Methods: Between June 2013 and May 2015, 402 participants were allocated 1:1 to e-coaching and SOC versus SOC. Participants free of manifest cardiovascular disease, with internet access, and a 10-year QRISK2 cardiovascular risk of ≥10% were enrolled. Change in oscillometric carotid-femoral pulse wave velocity (PWV) from baseline to six months was the primary endpoint. Secondary outcomes included change in blood pressure (BP), weight, and risk scores. Analysis was by intention to treat. Results: Mean (±SD) age was 65.5 (5.6) years with 37% females. Primary outcome data were available for 94%. There was no difference in PWV reductions between e-coaching and standard of care groups (–0.16 m/s vs. –0.25 m/s, 95% confidence interval –0.39 to 0.22, p = 0.56). There were no differences in the improvement between groups for BP, weight, Framingham, or QRISK2 scores. Pulse wave velocity change was more favorable in those with a higher level of education (p = 0.04), but was not associated with age, gender, presence of diabetes, baseline QRISK2 score, or logins to the website. Conclusions: In individuals at increased cardiovascular risk, a comprehensive ‘health check’ program modestly reduced future risk. Personalized e-coaching did not provide added risk reduction. Currently there is no evidence to routinely recommend e-coaching in cardiovascular health check programs. Trial registration: HAPPY London ClinicalTrials.gov: NCT01911910Mohammed Y. KhanjiArmida BalawonRedha BoubertakhLeonard HofstraJagat NarulaMyriam HuninkFrancesca PuglieseSteffen E. PetersenUbiquity PressarticleInfectious and parasitic diseasesRC109-216Public aspects of medicineRA1-1270ENAnnals of Global Health, Vol 85, Iss 1 (2019)
institution DOAJ
collection DOAJ
language EN
topic Infectious and parasitic diseases
RC109-216
Public aspects of medicine
RA1-1270
spellingShingle Infectious and parasitic diseases
RC109-216
Public aspects of medicine
RA1-1270
Mohammed Y. Khanji
Armida Balawon
Redha Boubertakh
Leonard Hofstra
Jagat Narula
Myriam Hunink
Francesca Pugliese
Steffen E. Petersen
Personalized E-Coaching in Cardiovascular Risk Reduction: A Randomized Controlled Trial
description Objectives: To assess whether electronic (e-) coaching, using personalized web-based lifestyle and risk factor counselling with additional email prompts, provides additional risk reduction when added to standard of care (SOC) in individuals at increased risk. Methods: Between June 2013 and May 2015, 402 participants were allocated 1:1 to e-coaching and SOC versus SOC. Participants free of manifest cardiovascular disease, with internet access, and a 10-year QRISK2 cardiovascular risk of ≥10% were enrolled. Change in oscillometric carotid-femoral pulse wave velocity (PWV) from baseline to six months was the primary endpoint. Secondary outcomes included change in blood pressure (BP), weight, and risk scores. Analysis was by intention to treat. Results: Mean (±SD) age was 65.5 (5.6) years with 37% females. Primary outcome data were available for 94%. There was no difference in PWV reductions between e-coaching and standard of care groups (–0.16 m/s vs. –0.25 m/s, 95% confidence interval –0.39 to 0.22, p = 0.56). There were no differences in the improvement between groups for BP, weight, Framingham, or QRISK2 scores. Pulse wave velocity change was more favorable in those with a higher level of education (p = 0.04), but was not associated with age, gender, presence of diabetes, baseline QRISK2 score, or logins to the website. Conclusions: In individuals at increased cardiovascular risk, a comprehensive ‘health check’ program modestly reduced future risk. Personalized e-coaching did not provide added risk reduction. Currently there is no evidence to routinely recommend e-coaching in cardiovascular health check programs. Trial registration: HAPPY London ClinicalTrials.gov: NCT01911910
format article
author Mohammed Y. Khanji
Armida Balawon
Redha Boubertakh
Leonard Hofstra
Jagat Narula
Myriam Hunink
Francesca Pugliese
Steffen E. Petersen
author_facet Mohammed Y. Khanji
Armida Balawon
Redha Boubertakh
Leonard Hofstra
Jagat Narula
Myriam Hunink
Francesca Pugliese
Steffen E. Petersen
author_sort Mohammed Y. Khanji
title Personalized E-Coaching in Cardiovascular Risk Reduction: A Randomized Controlled Trial
title_short Personalized E-Coaching in Cardiovascular Risk Reduction: A Randomized Controlled Trial
title_full Personalized E-Coaching in Cardiovascular Risk Reduction: A Randomized Controlled Trial
title_fullStr Personalized E-Coaching in Cardiovascular Risk Reduction: A Randomized Controlled Trial
title_full_unstemmed Personalized E-Coaching in Cardiovascular Risk Reduction: A Randomized Controlled Trial
title_sort personalized e-coaching in cardiovascular risk reduction: a randomized controlled trial
publisher Ubiquity Press
publishDate 2019
url https://doaj.org/article/4528af7dbae04b148382b9eebc1fda4b
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