title: Factors influencing referral of cardiac patients for cardiac rehabilitation.
abstract: This study asked the question: Are there differences in the characteristics and referral rates of men and women who are referred for cardiac rehabilitation? The sample consisted of 203 men (n = 148) and women (n = 55) who were hospitalized with at least one cardiac diagnosis and were eligible for Phase II cardiac rehabilitation. Hospital records were reviewed to obtain information on gender, age, ethnicity, insurance coverage, marital status, employment status, proximity to rehabilitation services, transportation availability, concurrent disease processes, domestic responsibilities, documentation of referral for cardiac rehabilitation, and the attending physician. A survey sent to the patients approximately 3 weeks after their discharge from the hospital also addressed these variables. Logistic regression analysis indicated only one predictor of referral: the gender of the physician. Male physicians were more likely to refer patients for cardiac rehabilitation. This finding must be viewed with caution because of the small number of female patients and female physicians included in the study. The current literature reflects conflicting findings about the proposed relationships; therefore, they merit further investigation.
authors.affiliation: University of Texas, Arlington School of Nursing, Arlington, TX, USA. janethstiller@aol.com
authors.forename: Janeth J
authors.initials: JJ
authors.lastname: Stiller
authors.forename: Melinda M
authors.initials: MM
authors.lastname: Holt
mesh_terms: D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D019538:Health Care Surveys; D006297:Health Services Accessibility / Q000706:statistics & numerical data; D006331:Heart Diseases / Q000534:rehabilitation*; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D010820:Physicians / Q000706:statistics & numerical data; D017064:Process Assessment, Health Care; D012017:Referral and Consultation / Q000706:statistics & numerical data*; D017678:Sex Distribution; D012959:Socioeconomic Factors; D015206:Southwestern United States