OBJECTIVE: To identify factors that influence compliance in patients taking antihyperlipidemic medications. STUDY DESIGN: This was a retrospective cohort study in which computerized pharmacy records were used to estimate medication compliance in patients in a Health Maintenance Organization from 1993 to 1995. PATIENTS AND METHODS: Data on 772 patients on antihyperlipidemic medications were obtained from pharmacy and healthcare utilization claims and from a cross-sectional survey. The medication compliance ratio for each patient was calculated from the prescription profile. Patient compliance was modeled as a function of four clusters of determinants: patient characteristics, complexity of drug regimen, health status, and patient-provider interaction. Correlation between specific characteristics and compliance was estimated by logistic regressions. RESULTS: Approximately 37% of patients complied with at least 90% or more of their antihyperlipidemic medications. The following variables had a significant influence on compliance: female gender (odds ratio [OR], 0.64), baseline compliance (high: OR, 3.42; medium: OR, 1.86), perceived health status (SF-36 bodily pain score: OR, 1.02; SF-36 vitality score: OR, 0.97), comorbidity (OR, 0.90), and number of daily doses of antihyperlipidemic medications (OR, 0.60). CONCLUSIONS: The findings suggest that women, patients with comorbidities, patients reporting high SF-36 vitality scores, and patients with multiple doses of antihyperlipidemic medications are less likely to be compliant. Patients who self-report good compliance with previous medications are more likely to comply. This information may be used to target interventions at patients who are likely to be noncompliant with their medication regimens.
OBJECTIVE: To identify factors that influence compliance in patients taking antihyperlipidemic medications. STUDY DESIGN: This was a retrospective cohort study in which computerized pharmacy records were used to estimate medication compliance in patients in a Health Maintenance Organization from 1993 to 1995. PATIENTS AND METHODS: Data on 772 patients on antihyperlipidemic medications were obtained from pharmacy and healthcare utilization claims and from a cross-sectional survey. The medication compliance ratio for each patient was calculated from the prescription profile. Patient compliance was modeled as a function of four clusters of determinants: patient characteristics, complexity of drug regimen, health status, and patient-provider interaction. Correlation between specific characteristics and compliance was estimated by logistic regressions. RESULTS: Approximately 37% of patients complied with at least 90% or more of their antihyperlipidemic medications. The following variables had a significant influence on compliance: female gender (odds ratio [OR], 0.64), baseline compliance (high: OR, 3.42; medium: OR, 1.86), perceived health status (SF-36 bodily pain score: OR, 1.02; SF-36 vitality score: OR, 0.97), comorbidity (OR, 0.90), and number of daily doses of antihyperlipidemic medications (OR, 0.60). CONCLUSIONS: The findings suggest that women, patients with comorbidities, patients reporting high SF-36 vitality scores, and patients with multiple doses of antihyperlipidemic medications are less likely to be compliant. Patients who self-report good compliance with previous medications are more likely to comply. This information may be used to target interventions at patients who are likely to be noncompliant with their medication regimens.
Authors: Adam E M Eltorai; Grayson L Baird; Ashley Szabo Eltorai; Terrance T Healey; Saurabh Agarwal; Corey E Ventetuolo; Thomas J Martin; Jane Chen; Layla Kazemi; Catherine A Keable; Emily Diaz; Joshua Pangborn; Jordan Fox; Kevin Connors; Frank W Sellke; Jack A Elias; Alan H Daniels Journal: JAMA Surg Date: 2019-07-01 Impact factor: 14.766
Authors: Joshua S Benner; Jonothan C Tierce; Christie M Ballantyne; Cheryl Prasad; Michael F Bullano; Vincent J Willey; John Erbey; David S Sugano Journal: Pharmacoeconomics Date: 2004 Impact factor: 4.981
Authors: Alessandro Morandi; Christopher G Hughes; Jennifer L Thompson; Pratik P Pandharipande; Ayumi K Shintani; Eduard E Vasilevskis; Jin H Han; James C Jackson; Daniel T Laskowitz; Gordon R Bernard; E Wesley Ely; Timothy D Girard Journal: Crit Care Med Date: 2014-08 Impact factor: 7.598
Authors: Jeffrey J Ellis; Steven R Erickson; James G Stevenson; Steven J Bernstein; Renee A Stiles; A Mark Fendrick Journal: J Gen Intern Med Date: 2004-06 Impact factor: 5.128