title: Detection of medication nonadherence through review of pharmacy claims data.
abstract: The utility of pharmacy claims data in detecting improper medication use, medication changes, and formulary adherence was assessed. Pharmacists provided six months of pharmacy claims data to primary care physicians for patients on the day of their scheduled clinic appointments. Similar data, not supplied to physicians, were generated for a matched population of patients on the day of their scheduled clinic appointments. A blinded pharmacist abstracter reviewed dictated office notes for both control and treatment groups. Medication adherence and medication changes were assessed by the abstracter as well as the difference in total medication costs for each of the groups before and after the pharmacy claims data were supplied. Surveys were distributed to physicians to determine whether pharmaceutical care was improved by the pharmacy claims data. In the treatment group, physicians detected medication nonadherence in 30.5% of their patients, while the abstracter noted nonadherence in 58.1% of patients. Physicians failed to detect any nonadherence in the control group, but the abstractor detected nonadherence in 57.1% of these patients. Changes in medication regimens occurred more often in the treatment group (p < 0.001). The mean percentage of patients switched to formulary agents significantly differed between the treatment and control groups (27.7% versus 0.0%, respectively) (p < 0.001). There were no differences in median drug costs for either group before or after the pharmacy claims data were provided. Provision of pharmacy claims data to physicians helped them detect medication nonadherence, evaluate therapeutic duplication or omissions, increase formulary use, and reduce the time required to obtain an accurate medication history.
authors.affiliation: Henry Ford Health System, Diversified Services Group, 30100 Telegraph Road, Suite 200, Bingham Farms, MI 48025-4516, USA.
authors.forename: Nella
authors.initials: N
authors.lastname: Bieszk
authors.forename: Rosalie
authors.initials: R
authors.lastname: Patel
authors.forename: Andrea
authors.initials: A
authors.lastname: Heaberlin
authors.forename: Ken
authors.initials: K
authors.lastname: Wlasuk
authors.forename: Barbara
authors.initials: B
authors.lastname: Zarowitz
mesh_terms: D016009:Chi-Square Distribution; D016527:Drug Costs / Q000706:statistics & numerical data; D011307:Drug Prescriptions / Q000191:economics; D005569:Formularies as Topic; D006279:Health Maintenance Organizations; D006801:Humans; D008508:Medication Errors / Q000517:prevention & control; D008824:Michigan; D010349:Patient Compliance; D010594:Pharmacies; D011787:Quality of Health Care; D012044:Regression Analysis; D018709:Statistics, Nonparametric; D011795:Surveys and Questionnaires