Primary Care Physician Characteristics and Potentially Inappropriate Medications in Older Adults

Abstract Background Potentially inappropriate medications (PIMs) are a growing public health concern. While research in North America suggests physician characteristics were associated with PIM prescription, their generalizability to other countries remains understudied. Methods We conducted a cross-sectional study using a nationwide electronic health record database of primary care clinics in Japan. We analyzed patients aged ≥75 years who visited solo-practice physicians at least quarterly during October 2022 to September 2023. Multivariable logistic regression, adjusted for patient characteristics, was used to examine the association between physician characteristics and PIM prescriptions, defined as at least one medication listed in the Screening Tool for Older Person’s Appropriate Prescriptions for Japanese for ≥28 days. Results Among 184,097 patients treated by 1,532 physicians, 70,319 (38.2%) received at least one PIM. Approximately two-thirds of PIM prescriptions were concentrated among 20% of the physicians. Younger physicians (adjusted odds ratio [aOR], 1.27; 95%CI, 1.05 to 1.55), physicians with lower volumes of older patients (aOR, 1.39; 95%CI, 1.19 to 1.61), and physicians in eastern or central Japan were more likely to prescribe PIMs. Conclusions PIM prescriptions were common and concentrated among a subset of physicians, particularly younger and less experienced physicians. Targeted interventions among high prescribers may reduce PIM efficiently.

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Health Affairs Scholar
Published
2026-08-28
DOI
https://doi.org/10.1093/haschl/qxag227
Primary Topic
Pharmaceutical Practices and Patient Outcomes
Type
article
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0.00

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article

Primary Care Physician Characteristics and Potentially Inappropriate Medications in Older Adults

Atsushi Miyawaki, John N. Mafi, Catherine A. Sarkisian, Yusuke Tsugawa et al.
Health Affairs Scholar
Pharmaceutical Practices and Patient Outcomes
article

Primary Care Physician Characteristics and Potentially Inappropriate Medications in Older Adults

Atsushi Miyawaki, John N. Mafi, Catherine A. Sarkisian, Yusuke Tsugawa, Daichi Sato, Kei Kitajima, Yuki Tatsuno
article en

Abstract

Abstract Background Potentially inappropriate medications (PIMs) are a growing public health concern. While research in North America suggests physician characteristics were associated with PIM prescription, their generalizability to other countries remains understudied. Methods We conducted a cross-sectional study using a nationwide electronic health record database of primary care clinics in Japan. We analyzed patients aged ≥75 years who visited solo-practice physicians at least quarterly during October 2022 to September 2023. Multivariable logistic regression, adjusted for patient characteristics, was used to examine the association between physician characteristics and PIM prescriptions, defined as at least one medication listed in the Screening Tool for Older Person’s Appropriate Prescriptions for Japanese for ≥28 days. Results Among 184,097 patients treated by 1,532 physicians, 70,319 (38.2%) received at least one PIM. Approximately two-thirds of PIM prescriptions were concentrated among 20% of the physicians. Younger physicians (adjusted odds ratio [aOR], 1.27; 95%CI, 1.05 to 1.55), physicians with lower volumes of older patients (aOR, 1.39; 95%CI, 1.19 to 1.61), and physicians in eastern or central Japan were more likely to prescribe PIMs. Conclusions PIM prescriptions were common and concentrated among a subset of physicians, particularly younger and less experienced physicians. Targeted interventions among high prescribers may reduce PIM efficiently.

Health Affairs Scholar
RAND Corporation (US), University of Tsukuba (JP), University of California, Los Angeles (US), Inpex (Japan) (JP), UCLA Health (US), Department of Health Services (NP), The University of Tokyo (JP)
Japan Society for the Promotion of Science
Partnerships for the goals
Openalex Percentile: Top 13%
Pharmaceutical Practices and Patient Outcomes
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