A prospective comparison of cardiac rehabilitation enrollment following automatic vs usual referral.

OBJECTIVE: Cardiac rehabilitation remains grossly under-utilized despite its proven benefits. This study prospectively compared verified cardiac rehabilitation enrollment following automatic vs usual referral, postulating that automatic referral would result in significantly greater enrollment for cardiac rehabilitation. DESIGN: Prospective controlled multi-center study. PATIENTS AND METHODS: A consecutive sample of 661 patients with acute coronary syndrome treated at 2 acute care centers (75% response rate) were recruited, one site with automatic referral via a computerized prompt and the other with a usual referral strategy at the physician's discretion. Cardiac rehabilitation referral was discerned in a mailed survey 9 months later (n = 506; 84% retention), and verified with 24 cardiac rehabilitation sites to which participants were referred. RESULTS: A total of 124 (52%) participants enrolled in cardiac rehabilitation following automatic referral, vs 84 (32%) following usual referral (p < 0.001). Automatically referred participants were more likely to be referred from an in- patient unit (p < 0.01), and to be referred in a shorter time period (p < 0.001). Logistic regression analyses revealed that, after controlling for sociodemographic characteristics and case-mix, automatically referred participants were significantly more likely to enroll in cardiac rehabilitation (odds ratio = 2.1; 95% confidence interval 1.4-3.3) than controls. CONCLUSION: Automatic referral resulted in over 50% verified cardiac rehabilitation enrollment; 2 times more than usual referral. It also significantly reduced utilization delays to less than one month.

Automatic referral to cardiac rehabilitation.

OBJECTIVES: Cardiac rehabilitation (CR) remains underused and inconsistently accessed, particularly for women and minorities. This study examined the factors associated with CR enrollment within the context of an automatic referral system through a retrospective chart review plus survey. Through the Behavioral Model of Health Services Utilization, it was postulated that enabling and perceived need factors, but not predisposing factors, would significantly predict patient enrollment. SUBJECTS: A random sample of all atherosclerotic heart disease (AHD) patients treated at a tertiary care center (Trillium Health Centre, Ontario, Canada) from April 2001 to May 2002 (n = 501) were mailed a survey using a modified Dillman method (71% response rate). MEASURES: Predisposing measures consisted of sociodemographics such as age, sex, ethnocultural background, work status, level of education, and income. Enabling factors consisted of barriers and facilitators to CR attendance, exercise benefits and barriers (EBBS), and social support (MOS). Perceived need factors consisted of illness perceptions (IPQ) and body mass index. RESULTS: Of the 272 participants, 199 (73.2%) attended a CR assessment. Lower denial/minimization, fewer logistical barriers to CR (eg, distance, cost), and lower perceptions of AHD as cyclical or episodic reliably predicted CR enrollment among cardiac patients who were automatically referred. CONCLUSION: Because none of the predisposing factors were significant in the final model, this suggests that factors associated with CR enrollment within the context of an automatic referral model relate to enabling factors and perceived need. A prospective controlled evaluation of automatic referral is warranted.