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Ecologically optimizing exercise maintenance in men and women post-cardiac rehabilitation: Protocol for a randomized controlled trial of efficacy with economics (ECO-PCR)

2016; Elsevier BV; Volume: 50; Linguagem: Inglês

10.1016/j.cct.2016.07.008

1559-2030

Robert D. Reid, Chris M. Blanchard, Evyanne Wooding, Jennifer Harris, Murray Krahn, Andrew Pipe, Caroline Chessex, Sherry L. Grace,

Cardiovascular and exercise physiology

Exercise-based cardiac rehabilitation (CR) participation results in increased cardio-metabolic fitness, which is associated with reduced mortality. However, many graduates fail to maintain exercise post-program. ECO-PCR investigates the efficacy and cost-effectiveness of a social ecologically-based intervention to increase long-term exercise maintenance following the completion of CR. A three-site, 2-group, parallel randomized controlled trial is underway. 412 male and 192 female (N = 604) supervised CR participants are being recruited just before CR graduation. Participants are randomized (1:1 concealed allocation) to intervention or usual care. A 50-week exercise facilitator intervention has been designed to assist CR graduates in the transition from structured, supervised exercise to self-managed home- or community-based (e.g., Heart Wise Exercise programs) exercise. The intervention consists of 8 telephone contacts over the 50 week period: 3 individual and 5 group. Assessments occur at CR graduation, and 26, 52 and 78 weeks post-randomization. The primary outcome is change in minutes of accelerometer-measured moderate to vigorous-intensity physical activity (MVPA) from CR graduation to 52 weeks post-randomization. Secondary measures include exercise capacity, quality of life, and cardiovascular risk factors. Analyses will be undertaken based on intention-to-treat. For the primary outcome, an analysis of variance will be computed to test the change in minutes of MVPA in each group between CR graduation and 52 week follow-up (2 [arm] × 2 [time]). Secondary objectives will be assessed using mixed-model repeated measures analyses to compare differences between groups over time. Mean costs and quality-adjusted life years for each arm will be estimated.