Personalized eHealth Program for Life-style Change: Results From the "Do Cardiac Health Advanced New Generated Ecosystem (Do CHANGE 2)" Randomized Controlled Trial.
Aged
Cardiovascular Diseases
/ prevention & control
Coronary Artery Disease
/ prevention & control
Ecosystem
Female
Health Behavior
Health Promotion
/ methods
Healthy Lifestyle
Humans
Male
Middle Aged
Netherlands
Proof of Concept Study
Quality of Life
Secondary Prevention
Spain
Taiwan
Telemedicine
/ methods
Journal
Psychosomatic medicine
ISSN: 1534-7796
Titre abrégé: Psychosom Med
Pays: United States
ID NLM: 0376505
Informations de publication
Date de publication:
05 2020
05 2020
Historique:
pubmed:
17
3
2020
medline:
27
4
2021
entrez:
17
3
2020
Statut:
ppublish
Résumé
Unhealthy life-style factors have adverse outcomes in cardiac patients. However, only a minority of patients succeed to change unhealthy habits. Personalization of interventions may result in critical improvements. The current randomized controlled trial provides a proof of concept of the personalized Do Cardiac Health Advanced New Generation Ecosystem (Do CHANGE) 2 intervention and evaluates effects on a) life-style and b) quality of life over time. Cardiac patients (n = 150; mean age = 61.97 ± 11.61 years; 28.7% women; heart failure, n = 33; coronary artery disease, n = 50; hypertension, n = 67) recruited from Spain and the Netherlands were randomized to either the "Do CHANGE 2" or "care as usual" group. The Do CHANGE 2 group received ambulatory health-behavior assessment technologies for 6 months combined with a 3-month behavioral intervention program. Linear mixed-model analysis was used to evaluate the intervention effects, and latent class analysis was used for secondary subgroup analysis. Linear mixed-model analysis showed significant intervention effects for life-style behavior (Finteraction(2,138.5) = 5.97, p = .003), with improvement of life-style behavior in the intervention group. For quality of life, no significant main effect (F(1,138.18) = .58, p = .447) or interaction effect (F(2,133.1) = 0.41, p = .67) was found. Secondary latent class analysis revealed different subgroups of patients per outcome measure. The intervention was experienced as useful and feasible. The personalized eHealth intervention resulted in significant improvements in life-style. Cardiac patients and health care providers were also willing to engage in this personalized digital behavioral intervention program. Incorporating eHealth life-style programs as part of secondary prevention would be particularly useful when taking into account which patients are most likely to benefit. https://clinicaltrials.gov/ct2/show/NCT03178305.
Identifiants
pubmed: 32176191
doi: 10.1097/PSY.0000000000000802
pii: 00006842-202005000-00009
doi:
Banques de données
ClinicalTrials.gov
['NCT03178305']
Types de publication
Journal Article
Multicenter Study
Randomized Controlled Trial
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
409-419Références
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