title: Medication adherence in persons with cardiovascular disease.
abstract: The purpose of this investigation was to determine medication adherence rates among 3 groups of elderly individuals 62 years of age or older, experiencing comorbid conditions including at least 1 cardiovascular disorder. Data, taken from a 3-week period, were combined across the groups to calculate the percentage of prescribed doses taken, percentage of days with correct number of doses, and percentage of expected doses with the correct timing of administration. Multiple linear regression also was performed on several sociodemographic variables to determine their ability to predict adherence. Risks for poor adherence and suggestions to increase adherence are presented.
authors.affiliation: University of Pittsburgh School of Nursing, PA 15261, USA. dunbar@pitt.edu
authors.forename: Jacqueline
authors.initials: J
authors.lastname: Dunbar-Jacob
authors.forename: Patricia
authors.initials: P
authors.lastname: Bohachick
authors.forename: Mary Kay
authors.initials: MK
authors.lastname: Mortimer
authors.forename: Susan M
authors.initials: SM
authors.lastname: Sereika
authors.forename: Susan M
authors.initials: SM
authors.lastname: Foley
mesh_terms: D001741:Black or African American / Q000706:statistics & numerical data; D000368:Aged; D000369:Aged, 80 and over; D001172:Arthritis, Rheumatoid / Q000188:drug therapy*; D002318:Cardiovascular Diseases / Q000188:drug therapy*; D004334:Drug Administration Schedule; D016903:Drug Monitoring / Q000379:methods; D005260:Female; D006801:Humans; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D010349:Patient Compliance / Q000706:statistics & numerical data*; D012111:Residence Characteristics / Q000706:statistics & numerical data; D012307:Risk Factors; D012959:Socioeconomic Factors; D014481:United States; D044465:White People / Q000706:statistics & numerical data