Evidence map›Paper›PMID 41625134›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2026

Fantastic stewards and where to find them: a descriptive study of the heterogeneous disparity in physician-pharmacist-nurse distribution among the infectious disease workforce.

Yuuka Uesugi, Satoshi Kitaura, Koh Okamoto

Abstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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.

Yuuka UesugiDepartment of Clinical Training, Aso Iizuka Hospital, Fukuoka, Japan.ORCID https://orcid.org/0009-0007-0698-0395
Satoshi KitauraDepartment of Infection Control and Prevention, The University of Tokyo Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0001-7254-4582
Koh OkamotoDepartment of Infectious Diseases, The University of Tokyo Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0002-4072-9096

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Infectious disease (ID) care involves a diverse range of professionals, yet the shortage and geographical disparity of ID physicians, among other professionals, remain underexplored. This cross-sectional descriptive study aimed to elucidate the distribution of ID physicians, infection control (IC) pharmacists, and IC nurses in Japan, focusing on the interrelations among the ID workforce within medically relevant geographical units. Methods: Publicly available data from 335 secondary medical areas (SMAs) in Japan, with a population of 125 million, were analyzed. Workforce distribution was assessed using the Gini index to quantify inequalities and spatial clustering across the SMAs per capita, per hospital bed, and per unit area. χ2 test was used to assess the association of hospital characteristics with the presence of each professional. Findings: The research subjects were 1,729 ID physicians, 1,371 IC pharmacists, and 2,657 IC nurses, whose workplace data were available in Japan as of 2023. The Gini coefficients for the densities of ID physicians, IC pharmacists, and IC nurses per 100,000 people were 0.46, 0.34, and 0.28, respectively. The density of the ID workforce per unit area (1,000 km Conclusions: The substantial variation in ID workforce composition across SMAs suggests opportunities for both regional and national policy and identifies new avenues for improving access to ID care.

Identifiers

PMID41625134
PMCPMC12854878

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.