Causal effect of conventional anti-dementia drugs on economic burden: an orthogonal double/debiased machine learning approach

This study revealed the causal relationship between anti-dementia drug use and Medicare costs by employing DML. ChEIs were found to be contributors to the decreased Medicare costs and inpatient costs, which could mainly be attributed to donepezil. The use of donepezil should be expanded, considering the significant benefits. Furthermore, a lower OOP cap for ADRD beneficiaries should be established under the IRA.

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Publication Details

Journal
BMC Geriatrics
Published
2025-08-25
DOI
https://doi.org/10.1186/s12877-025-06298-6
Primary Topic
Pharmaceutical Practices and Patient Outcomes
Type
article
Field-Weighted Citation Impact
0.00
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article

Causal effect of conventional anti-dementia drugs on economic burden: an orthogonal double/debiased machine learning approach

Kevin Lu, Xiangxiang Jiang, Gang Lv, Minghui Li et al.
1 links
BMC Geriatrics
Pharmaceutical Practices and Patient Outcomes
article

Causal effect of conventional anti-dementia drugs on economic burden: an orthogonal double/debiased machine learning approach

Kevin Lu, Xiangxiang Jiang, Gang Lv, Minghui Li, Jordan Franklin
article en

Abstract

This study revealed the causal relationship between anti-dementia drug use and Medicare costs by employing DML. ChEIs were found to be contributors to the decreased Medicare costs and inpatient costs, which could mainly be attributed to donepezil. The use of donepezil should be expanded, considering the significant benefits. Furthermore, a lower OOP cap for ADRD beneficiaries should be established under the IRA.

BMC GeriatricsVol. 25(1)
University of Tennessee Health Science Center (US), Chinese PLA General Hospital (CN), University of South Carolina Sumter (US)
Openalex Percentile: Top 74%
Pharmaceutical Practices and Patient Outcomes
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