Evidence map›Paper›PMID 40682089›Full record

ArticleBMC nursing2025

Public health nurse density and associated factors across Japan: an ecological study.

Mayumi Mizutani, Ritsuko Nishide, Naoko Nishitani, Harumi Bando, Junko Nishimura, Susumu Tanimura

Abstract read
In one paragraph

Article in BMC nursing, 2025. 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

6 authors.

Mayumi MizutaniDepartment of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Aichi, Japan. mizutani.mayumi.i9@f.mail.nagoya-u.ac.jp.
Ritsuko NishideDepartment of Nursing, Nagoya University of Arts and Sciences, Aichi, Japan.
Naoko NishitaniDepartment of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Aichi, Japan.
Harumi BandoFaculty of Nursing, School of Medicine, Nara Medical University, Nara, Japan.
Junko NishimuraDepartment of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Aichi, Japan.
Susumu TanimuraDepartment of Public Health Nursing, Mie University Graduate School of Medicine, Mie, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnsuring an adequate density of public health nurses (PHNs) is vital for effectively addressing community health needs. This study aimed to (1) map the geographic distribution of PHN density across all 47 prefectures in Japan from 2019 to 2024, (2) investigate regional factors associated with PHN density at the prefectural level, and (3) analyze these associations at different quantile levels of PHN density.

methodsAn ecological study was conducted using available public data from 47 prefectures in Japan, focusing on variables related to PHN density such as school density, educational capacity, percentage of graduates selecting PHN careers, percentage of graduates remaining within the prefecture, recruitment rate, and turnover rate. Choropleth maps were created to visually represent geographic distributions. Ordinary least squares (OLS) regression and quantile regression (QR) models were used to analyze the identified regional factors associated with PHN density.

resultsThe mean prefectural-level PHN density was 378.0 per million population, with a 3.6-fold difference (range, 172.7-618.4). The results of OLS regression indicated positive associations between PHN density and educational capacity (regression coefficient B = 0.71, standardized regression coefficient β = 0.40, p = 0.016), the percentage of graduates selecting their first career as a PHN (B = 3.29, β = 0.34, p = 0.013), and those selecting their first PHN career within the prefecture (B = 2.15, β = 0.24, p = 0.032). The QR analysis showed that these associations varied across different quantiles. Education capacity was significant in lower (30th percentile) and higher quantiles (90th percentile). The proportion of graduates who started their career as PHNs and those who remained in the prefecture were significant across several quantiles.

conclusionsFostering pathways that encourage graduates to pursue public health nursing as their first career choice and remain in their prefectures is essential to enhance prefectural-level PHN density. A balanced approach that addresses both the quantity and quality of PHNs is necessary to advance public health nursing in Japan.

Indexed as

Career choiceGeographic mappingHealth workforceNursing educationPublic health nursesQuantile regressionSpatial regression

Identifiers

PMID40682089
PMCPMC12272966

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.