Abstract

BackgroundThere is a need for reproducible methods to measure over-the-counter (OTC) medication possession and use. This is because OTC medications are self-managed, variably monitored by healthcare professionals, and in certain populations such as older adults some OTC medications may introduce risk and cause more harm than benefit. Objective(s): To develop and assess the feasibility of the Home Medication Inventory Method (HMIM), a novel method to measure possession and use of OTC medications. MethodsWe benchmarked, adapted, and standardized prior approaches to medication inventory to develop a method capable of addressing the limitations of existing methods. We then conducted a pilot study of the HMIM among older adults. Eligible participants were aged ≥60 years, reported purchasing or considering purchasing OTC medication, and screened for normal cognition. Interviews were conducted both in person and remotely. When possible, photographs of all OTC medications were obtained with participant consent and completion times were recorded for both in-person and remote modalities. ResultsIn total 51 participants completed the pilot study. Home medication inventories were conducted in-person (n = 15) and remotely (n = 36). Inventories were completed in a mean (SD) of 20.2 min (12.7), and 96 % of inventories completed within 45 min. A total of 390 OTC medications were possessed by participants, for a mean (SD) of 7.6 (6.3) per participant. No differences in duration of interviews or number of medications reported were identified between in-person and remote modalities. Anticholinergic medications, a class targeted in the pilot as potentially harmful to older adults, were possessed by 31 % of participants, and 14 % of all participants reported use of such a medication within the previous 2 weeks. ConclusionsImplementing the HMIM using in-person and remote modalities is a feasible and ostensibly reproducible method for collecting OTC medication possession and use information. Larger studies are necessary to further generalize HMIM feasibility and reliability in diverse populations.

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