Evidence map›Paper›PMID 37312784›Full record

ArticleJournal of family medicine and primary care2023

Regional assessment of medical care provision system by principal component analysis.

Kazuki Ohashi, Arisa Abe, Kensuke Fujiwara, Naoki Nishimoto, Katsuhiko Ogasawara

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Kazuki OhashiFaculty of Health Sciences, Hokkaido University, Kita-Ku, Sapporo, Japan.
Arisa AbeDepartment of Health Sciences, School of Medicine, Hokkaido University, Kita-Ku, Sapporo, Japan.
Kensuke FujiwaraGraduate School of Commerce, Otaru University of Commerce, Midori, Otaru, Japan.
Naoki NishimotoDivision of Data Management, Division of Biostatistics, Clinical Research and Medical Innovation Center, Hokkaido University Hospital, Kita-Ku, Sapporo, Japan.
Katsuhiko OgasawaraFaculty of Health Sciences, Hokkaido University, Kita-Ku, Sapporo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The Japanese government has promoted policies ensuring standardized medical care across the secondary medical care areas (SMCAs); however, these efforts have not been evaluated, making the current conditions unclear. Multidimensional indicators could identify these differences; thus, this study examined the regional characteristics of the medical care provision system for 21 SMCAs in Hokkaido, Japan, and the changes from 1998 to 2018. Materials and Methods: This study evaluated the characteristics of SMCAs by principal component analysis using multidimensional data related to the medical care provision system. Factor loadings and principal component scores were calculated, with the characteristics of each SMCA visually expressed using scatter plots. Additionally, data from 1998 to 2018 were analyzed to clarify the changes in SMCAs' characteristics. Results: The primary and secondary principal components were Discussion: Principal component analysis summarized multidimensional indicators and evaluated SMCAs in this regional assessment. This study categorized SMCAs into four quadrants based on

Indexed as

Medical care provision systemprincipal component analysisregional characteristics

Identifiers

PMID37312784
PMCPMC10259538

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.