Mapping potentially inappropriate medications in older adults using the Anatomical Therapeutic Chemical (ATC) classification system

Author:

Ndai Asinamai1,Al Bahou Julie1,Morris Earl1ORCID,Wang Hsin‐Min1ORCID,Marcum Zach2,Hung Anna345,Brandt Nicole6,Steinman Michael A.7ORCID,Vouri Scott Martin18ORCID

Affiliation:

1. Department of Pharmaceutical Outcomes & Policy University of Florida College of Pharmacy Gainesville Florida USA

2. Department of Pharmacy University of Washington Seattle WA USA

3. Department of Population Health Sciences Duke University Durham North Carolina USA

4. Duke‐Margolis Center for Health Policy Duke University Durham North Carolina USA

5. Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT) Durham Veterans Affairs Health Care System Durham North Carolina USA

6. The Peter Lamy Center on Drug Therapy and Aging University of Maryland Baltimore Maryland USA

7. Division of Geriatrics, Department of Medicine University of California San Francisco and the San Francisco VA Medical Center San Francisco California USA

8. Center for Drug Evaluation and Safety University of Florida Gainesville Florida USA

Abstract

AbstractBackgroundPotentially inappropriate medications (PIMs) in older adults are medications in which risks often outweigh benefits and are suggested to be avoided. Worldwide, many distinct guidelines and tools classify PIMs in older adults. Collating these guidelines and tools, mapping them to a medication classification system, and creating a crosswalk will enhance the utility of PIM guidance for research and clinical practice.MethodsWe used the Anatomical Therapeutic Chemical (ATC) Classification System, a hierarchical classification system, to map PIMs from eight distinct guidelines and tools (2019 Beers Criteria, Screening Tool for Older Person's Appropriate Prescriptions [STOPP], STOPP‐Japan, German PRISCUS, European Union‐7 Potentially Inappropriate Medication [PIM] list, Centers for Medicare & Medicaid Services [CMS] High‐Risk Medication, Anticholinergic Burden Scale, and Drug Burden Index). Each PIM was mapped to ATC Level 5 (drug) and to ATC Level 4 (drug class). We then used the crosswalk (1) to compare PIMs and PIM drug classes across guidelines and tools to determine the number of PIMs that were index (drug‐induced adverse event) or marker (treatment of drug‐induced adverse event) drug of prescribing cascades, and (2) estimate the prevalence of PIM use in older adults continuously enrolled with fee‐for‐service Medicare in 2018 as use cases. Data visualization and descriptive statistics were used to assess guidelines and tools for both use cases.ResultsOut of 480 unique PIMs identified, only three medications—amitriptyline, clomipramine, and imipramine and two drug classes—N06AA (tricyclic antidepressants) and N06AB (selective serotonin reuptake inhibitors), were noted in all eight guidelines and tools. Using the crosswalk, 50% of classes of index drugs and 47% of classes of marker drugs of known prescribing cascades were PIMs. Additionally, 88% of Medicare beneficiaries were dispensed ≥1 PIM across the eight guidelines and tools.ConclusionWe created a crosswalk of eight PIM guidelines and tools to the ATC classification system and created two use cases. Our findings could be used to expand the ease of PIM identification and harmonization for research and clinical practice purposes.

Funder

Health Services Research and Development

National Institute on Aging

Publisher

Wiley

Subject

Geriatrics and Gerontology

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