Why the study?
Do comorbidities and psychosocial characteristics predict dropout in patients attending outpatient cardiac rehabilitation?
Do comorbidities and psychosocial characteristics predict dropout in patients attending outpatient cardiac rehabilitation?
Comorbidities such as prior stroke and psychosocial factors like severe anxiety/depression, being single, and transport dependence are strong predictors of early dropout from cardiac rehabilitation.
Severe anxiety/depression and prior stroke identify high dropout risk but should not change practice; leaves open prospective validation of retention strategies.
BACKGROUND: Despite the clear benefits of cardiac rehabilitation (CR), a considerable number of patients drop out early. OBJECTIVE: Therefore, we wanted to evaluate dropout in CR with a special focus on comorbidities and psychosocial background. METHODS: Patients who attended CR after acute coronary syndrome, cardiac surgery, or heart failure (N = 489) were prospectively included. Dropout was defined as attending 50% of the training sessions or less (n = 96 [20%]). Demographic and clinical characteristics, exercise parameters, and psychosocial factors were analyzed according to dropout, and those with a trend toward a significant difference (P < .10) were entered in a multivariate logistic model. RESULTS: The presence of a cerebrovascular accident (4.18 [1.39-12.52]) involved a higher risk of dropout, and a comparable trend was seen for the presence of chronic obstructive pulmonary disease (2.55 [0.99-6.54]). Attending the training program only twice per week also implicated a higher risk of an early withdrawal (3.76 [2.23-6.35]). In contrast, patients on β-blockers were less likely to withdraw prematurely (0.47 [0.22-0.98]). Singles were more likely to drop out (2.89 [1.56-5.35]), as well as those patients who were dependent on others to get to CR (2.01 [1.16-3.47]). Finally, the reporting of severe problems on the anxiety/depression subscale of the EuroQOL-5D questionnaire involved a higher odds for dropout (7.17 [1.46-35.29]). CONCLUSIONS: Neither demographic characteristics nor clinical status or exercise capacity could independently identify patients who were at risk of dropout. The presence of comorbidities and a vulnerable psychosocial background rather seem to play a key role in dropout.
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Pardaens et al. (2015) studied this question.
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