TY - JOUR
T1 - Personalized eHealth program for life-style change
T2 - Results from the "do Cardiac health advanced new generated ecosystem (Do CHANGE 2)" randomized controlled trial
AU - Broers, Eva R.
AU - Widdershoven, Jos
AU - Denollet, Johan
AU - Lodder, Paul
AU - Kop, Willem J.
AU - Wetzels, Mart
AU - Ayoola, Idowu
AU - Piera-Jimenez, Jordi
AU - Habibovic, Mirela
AU - Do CHANGE Consortium
N1 - Funding Information:
Source of Funding and Conflicts of Interest: The current study is funded by the European Commission’s Horizon 2020 program (grant number: 463735).
PY - 2020
Y1 - 2020
N2 - ObjectiveUnhealthy 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.MethodsCardiac 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.ResultsLinear mixed-model analysis showed significant intervention effects for life-style behavior (F-interaction(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.ConclusionsThe 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.Trial registration: https//clinicaltrials.gov/ct2/show/NCT03178305
AB - ObjectiveUnhealthy 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.MethodsCardiac 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.ResultsLinear mixed-model analysis showed significant intervention effects for life-style behavior (F-interaction(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.ConclusionsThe 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.Trial registration: https//clinicaltrials.gov/ct2/show/NCT03178305
KW - cardiac health
KW - life-style
KW - behavior change
KW - eHealth
KW - DISEASE SELF-MANAGEMENT
KW - CARDIOVASCULAR-DISEASE
KW - HEART-DISEASE
KW - WHOQOL-BREF
KW - INTERVENTIONS
KW - VALIDITY
KW - PREVENTION
KW - DEPRESSION
KW - ANXIETY
UR - http://www.scopus.com/inward/record.url?scp=85090429250&partnerID=8YFLogxK
UR - https://clinicaltrials.gov/ct2/show/NCT03178305
U2 - 10.1097/PSY.0000000000000802
DO - 10.1097/PSY.0000000000000802
M3 - Article
SN - 0033-3174
VL - 82
SP - 409
EP - 419
JO - Psychosomatic Medicine
JF - Psychosomatic Medicine
IS - 4
ER -