title: Patients' and health care practitioners' attributions about adherence problems as predictors of medication adherence.
abstract: Patients and healthcare practitioners (HCPs) each have theories about the causes of medication adherence problems. Traditional patient education focuses on correcting patients' inaccurate beliefs, but more recent models suggest working within patients' theories. Secondary data from a telehealth medication adherence program were analyzed to determine whether patients' or HCPs' causal theories better predicted adherence, and the effect of discrepancy between HCP and patient theories. Patients with osteoporosis (N=402) or endometriosis (N=2,015) received telephone counseling. Adherence levels and patients' and HCPs' causal attributions were recorded at each call. Hierarchical linear modeling showed associations between patients' attributions and current-session adherence, but HCP-patient attribution discrepancies predicted better subsequent adherence in three of six empirical tests performed.
authors.affiliation: Room 1922, School of Nursing, University of Colorado at Denver and Health Sciences Center, Denver, CO 80262, USA.
authors.forename: Paul F
authors.initials: PF
authors.lastname: Cook
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000704:Analysis of Variance; D001291:Attitude of Health Personnel; D015984:Causality; D003717:Denial, Psychological; D016527:Drug Costs / Q000706:statistics & numerical data; D004358:Drug Therapy / Q000191:economics / Q000523:psychology*; D064420:Drug-Related Side Effects and Adverse Reactions; D004715:Endometriosis / Q000188:drug therapy / Q000523:psychology; D005260:Female; D015438:Health Behavior; D007722:Health Knowledge, Attitudes, Practice; D006801:Humans; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D008960:Models, Psychological; D009042:Motivation; D015404:Nursing Methodology Research; D010024:Osteoporosis / Q000188:drug therapy / Q000523:psychology; D010349:Patient Compliance / Q000523:psychology* / Q000706:statistics & numerical data; D010353:Patient Education as Topic; D017216:Telemedicine