DISPARITIES IN COGNITIVE IMPAIRMENT WITH ANTICHOLINERGIC DRUG USE- ANALYSIS OF THE REASONS FOR GEOGRAPHIC AND RACIAL DIFFERENCES IN STROKE (REGARDS) STUDY

Author(s)

Rahman MM1, Howard G2, Qian J1, Garza KB1, Abebe A3, Hansen RA1
1Auburn University Harrison School of Pharmacy, Auburn, AL, USA, 2University of Alabama at Birmingham, Birmingham, AL, USA, 3Auburn University, Auburn, AL, USA

OBJECTIVES : Anticholinergic drug (ACH) use is linked with cognitive dysfunction and is often considered to be potentially inappropriate in older adults. Health disparities in cognitive status with ACH use may exist. We aim to evaluate the association between ACH use and cognitive impairment and the effect of disparity parameters (gender, race, income, education, and rural or urban areas) on this relationship.

METHODS : The analyses included 13,623 black and white US adults aged ≥65 years from the REasons for Geographic And Racial Differences in Stroke (REGARDS) study (recruited 2003-2007). The ACH use was defined by the 2015 Beers Criteria and cognitive impairment was measured by the Six-Item Cognitive Screener. Multivariable logistic regression models assessed disparities in cognitive impairment with ACH use, iteratively adjusting for disparity parameters and other covariates. The full models included interaction terms between ACH use and other covariates. A similar approach was used for class specific ACH exposure and cognitive impairment analyses.

RESULTS : Approximately 14% of the participants used at least one ACH listed in the Beers criteria. Antidepressants were the most frequently prescribed ACH class. A significant gender-race interaction illustrated that females compared with males (in blacks: odds ratio [OR]=1.28, 95% CI 1.10–1.49 and in whites: OR=1.96, 95% CI 1.74–2.20), and especially white females (black vs. white females: OR=0.71, 95% CI 0.64–0.80) were more likely to receive ACHs. Higher odds of cognitive impairment were observed among ACH users compared with the non-users (OR=1.27, 95% CI 1.01–1.59). Our class level analyses illustrated that only antidepressant users (OR=1.44, 95% CI 1.01–2.04) showed significant association with cognitive impairment in the fully adjusted model.

CONCLUSIONS : We observed demographic and socioeconomic disparities in ACH use and in cognitive impairment, individually. Further research is needed to better understand the contributing factors of such differences to develop appropriate interventions.

Conference/Value in Health Info

2019-05, ISPOR 2019, New Orleans, LA, USA

Value in Health, Volume 22, Issue S1 (2019 May)

Code

PMH48

Topic

Clinical Outcomes, Epidemiology & Public Health, Health Policy & Regulatory, Health Service Delivery & Process of Care

Topic Subcategory

Clinical Outcomes Assessment, Health Disparities & Equity, Safety & Pharmacoepidemiology, Treatment Patterns and Guidelines

Disease

Drugs, Geriatrics, Mental Health

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