Evidence map›Paper›PMID 41024901›Full record

ArticleCureus2025

Polypharmacy and Its Spatial Clustering in Japan: An Ecological Study of the Standardized Polypharmacy Ratio.

Shohei Ono, Yusuke Iizuka, Shinshu Katayama

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Shohei OnoAnesthesiology and Critical Care Medicine, Jichi Medical University Saitama Medical Center, Saitama, JPN.
Yusuke IizukaAnesthesiology and Critical Care Medicine, Jichi Medical University Saitama Medical Center, Saitama, JPN.
Shinshu KatayamaAnesthesiology and Critical Care Medicine, Jichi Medical University Saitama Medical Center, Saitama, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolypharmacy, defined as the concurrent use of multiple medications, poses significant health risks, particularly among aging populations. While polypharmacy is a recognized concern, limited research has examined its spatial distribution or its association with demographic and socioeconomic factors. This study aimed to examine the spatial patterns of polypharmacy across Japan and identify regional characteristics associated with higher polypharmacy rates. This study could contribute to evaluating the effectiveness of current local and national policies and may also inform future policy initiatives.

methodsAn ecological study was conducted across 335 local health units in Japan using data from national health, demographic, and geographic databases. Polypharmacy was defined as prescriptions containing seven or more drugs, and the standardized polypharmacy ratio (SPR) was calculated by age-group population. Spatial autocorrelation of SPR was assessed using Moran's I statistic. Clustering analysis incorporating SPR and regional variables identified distinct high-risk areas.

resultsThe prediction model for polypharmacy prescriptions achieved an R² of 0.98, indicating high accuracy, though SPR remained heterogeneous. Significant spatial autocorrelation was observed for both polypharmacy prescriptions (Moran's I = 0.4; P < 0.001) and SPR (Moran's I = 0.24; P < 0.001), highlighting regional clustering. Clustering analysis identified four groups by polypharmacy risk (critical, high, moderate, and low). High-SPR areas were associated with higher population density, a greater proportion of younger adults (ages 20 to 60), and increased levels of education, income, and tertiary industry workers.

conclusionPolypharmacy in Japan exhibits significant spatial clustering, with higher rates in urbanized regions driven by demographic and socioeconomic factors. Region-specific interventions addressing these unique characteristics are essential for improving polypharmacy management.

Indexed as

ecological researchinformation literacymoran’s indb open datapolypharmacyspatial autocorrelation

Identifiers

PMID41024901
PMCPMC12476693

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