Nonwhite race, single status, male gender predict medication nonadherence
Nonadherence to medication appears to be common among individuals who are nonwhite, single, male as well as those with low socioeconomic status and with increasing frequency of medication administration, a recent study has found.
More than 300,000 eligible prescriptions were filled between January and September 2015. These prescriptions corresponded to over 70,000 unique patients, of whom 29,134 were included.
Multivariable regression analysis revealed that increasing age (odds ratio [OR], 1.01), household income (OR, 1.03) and medication count (OR, 1.05) were associated with medication adherence. On the other hand, male gender (OR, 0.88); African American (OR, 0.45), Hispanic (OR, 0.62) or other race (OR, 0.87); being single (OR, 0.92); and increasing frequency of administrations per day (OR, 0.76) were associated with nonadherence.
“Based on these results, a risk prediction tool could be created to determine which patients are at the highest risk of medication nonadherence,” the investigators said.
An earlier study identifying factors related to nonadherence with topical intraocular pressure (IOP)-lowering medications found that demographic, clinical and treatment-related variables could predict nonadherence. In particular, index IOP prescription filled through mail order, higher medical costs during the preindex period, being a new IOP-lowering medication user and being male increased the likelihood of medication nonadherence. [J Manag Care Spec Pharm 2016;22:808-817a]
The current retrospective chart review for patients who received prescription medications from Cleveland Clinic outpatient pharmacies sought to determine the predictors of medication nonadherence. Prediction variables consisted of demographics, socioeconomic status, number of medications and number of daily administrations. The investigators analysed the said variable using logistic regression to determine independent predictors of medication adherence.