Implementation of an Appointment-Based Cardiac Rehabilitation Approach: A Single-Center Experience.
Catherine X WrightSean FournierYanhong DengCan MengSusan HillerJoyce M Oen-HsiaoRachel P DreyerPublished in: Journal of the American Heart Association (2022)
Background There has been a focus on alternative cardiac rehabilitation (CR) delivery models aimed at improving CR adherence and completion. We examined pre- and post-CR health outcomes, reasons for discharge, and predictors of completion using a patient-driven appointment-based CR approach that uses center-scheduled class start times. Methods and Results Data were used from an urban single-center CR program at Yale New Haven Health (2012-2017) that enrolled 2135 patients. We evaluated pre- and post-CR outcomes (12 weeks) using paired t tests and used a multivariable logistic regression model to examine predictors of CR completion (≥36 sessions) for the overall cardiovascular disease population. The mean age of participants was 65±12 years, 27.9% were women, and 5.1% were Black patients, and patients completed a median of 30 of 36 sessions. Patients achieved significant improvements in health outcomes, including across age and sex subgroups. The primary reason for discharge was completion of all 36 sessions of CR (46.4%). The final logistic regression model contained 12 predictors: age, sex, Black race, marital status, employment, number of physician-reported risk factors, dietary fat intake >30%, obesity, lack of exercise, benign prostatic hyperplasia, and self-reported stress and physical activity. Conclusions We demonstrated that patients participating in an appointment-based CR program achieved significant improvements in health outcomes and across sex/age subgroups. In addition, older individuals were more likely to complete CR. An appointment-based approach could be a viable alternative CR method to aid in optimizing the dose-response benefit of CR for patients with cardiovascular disease.
Keyphrases
- end stage renal disease
- cardiovascular disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- physical activity
- risk factors
- emergency department
- type diabetes
- primary care
- prognostic factors
- public health
- adipose tissue
- risk assessment
- mental health
- machine learning
- coronary artery disease
- high intensity
- depressive symptoms
- body mass index
- case report
- body composition
- patient reported outcomes
- climate change
- polycystic ovary syndrome
- cardiovascular risk factors
- cardiovascular events
- gestational age
- health promotion