Cardiac rehabilitation programs develop in accordance with guidelines, but also in response to local needs and resources. This study evaluated features of Ontario cardiac rehabilitation programs in accordance with guidelines, emerging evidence and treating underserved populations.
In this cross-sectional study, all Ontario cardiac rehabilitation programs were mailed an investigator-generated survey. Responses were received from 38 of 45 (84.4%) programs.
Twenty-seven (71.1%) cardiac rehabilitation programs were located within a hospital. Twenty-four (63.2%) programs reported that they offer two sessions of exercise and education per week. Twenty-six (68.4%) programs offered an alternative model of program delivery other than on-site, with 10 (27.0%) programs reporting they tailored their programs to rural patients. Twenty-three (62.2%) programs provided services to patients with a noncardiac primary indication. Twenty-six (68.4%) programs systematically screened patients for depressive symptoms. Twenty-seven (71.1%) offered resources to patients postgraduation.
Most cardiac rehabilitation programs offered alternative models of care, such as home-based rehabilitation. Cardiac rehabilitation sites are well integrated within their community, enabling smooth postcardiac rehabilitation transitions for patients. Cardiac rehabilitation programs continue to offer proven comprehensive components, while simultaneously attempting to adapt to meet the needs of patients with other chronic diseases.
Posttraumatic growth (PTG) is frequently reported after the strike of a serious medical illness. The current study sought to: 1) assess the relationship between degree of cardiac "threat" and PTG one-year post-hospitalization; and 2) to explore the association between PTG and healthcare utilization.
In a cohort study, 2636 cardiac inpatients from 11 Ontario hospitals completed a sociodemographic survey; clinical data were extracted from charts. One year later, 1717 of these outpatients completed a postal survey, which assessed PTG and healthcare utilization. Morbidity data were obtained retrospectively through probabilistic linkage to administrative data. The predicted risk of recurrent events for each participant was calculated using a logistic regression model, based on participants' sociodemographic and clinical characteristics. The relationship among PTG, trauma and health service use was examined with multiple regression models.
Greater PTG was significantly related to greater predicted risk of recurrent events (p