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Dataset Information

Utilizing a cognitive engineering approach to conduct a hierarchical task analysis to understand complex older adult decision-making during over-the-counter medication selection.


ABSTRACT:

Background

Adults aged 65+ (older adults) disproportionately consume 30% of over-the-counter (OTC) medications and are largely responsible for making OTC treatment decisions because providers lack awareness of their consumption. These treatment decisions are complex: older adults must navigate age-related body/cognitive changes, developed comorbidities, and complex medication regimens when selecting the right OTC. Yet little is known about how older adults make such decisions.

Objectives

This study characterizes older adults' cognitive decision-making process when seeking to self-medicate with OTCs from their community pharmacy, and demonstrates how hierarchical task analysis (HTA) can be used to evaluate a pharmacy intervention's impact on their decision-making.

Methods<

SUBMITTER: Morris AO 

PROVIDER: S-EPMC8551020 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature