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.
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.
Authors: Keerat Grewal; Yvonne W Leung; Parissa Safai; Donna E Stewart; Sonia Anand; Milan Gupta; Cynthia Parsons; Sherry L Grace Journal: Rehabil Nurs Date: 2010 May-Jun Impact factor: 1.625
Authors: Anna-Mari Aalto; Arja R Aro; John Weinman; Monique Heijmans; Kristiina Manderbacka; Marko Elovainio Journal: Qual Life Res Date: 2006-07-07 Impact factor: 4.147
Authors: Sherry L Grace; Suzan Krepostman; Dina Brooks; Susan Jaglal; Beth L Abramson; Pat Scholey; Neville Suskin; Heather Arthur; Donna E Stewart Journal: J Eval Clin Pract Date: 2006-04 Impact factor: 2.431
Authors: Shannon Gravely-Witte; Yvonne W Leung; Rajiv Nariani; Hala Tamim; Paul Oh; Victoria M Chan; Sherry L Grace Journal: Nat Rev Cardiol Date: 2009-12-08 Impact factor: 32.419