Evidence map›Paper›PMID 36962746›Full record

ArticlePLOS global public health2022

Spatial statistical analysis of regional disparities in suicide among policy units in Japan: Using the Bayesian hierarchical model.

Masahide Koda, Katsunori Kondo, Satoru Takahashi, Toshiyuki Ojima, Tomohiro Shinozaki, Manabu Ichikawa, Nahoko Harada, Yasushi Ishida

Open access · goldFull text read
In one paragraph

Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 23% of its field
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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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

8 authors at 8 institutions in 1 country.

Masahide KodaDivision of Health Sciences, Center for Health Sciences and Counseling, Kyushu University, Fukuoka, Japan.ORCID https://orcid.org/0000-0002-4652-6994
Katsunori KondoCenter for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Aichi, Japan.
Satoru TakahashiCenter for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Aichi, Japan.ORCID https://orcid.org/0000-0001-9952-7176
Toshiyuki OjimaDepartment of Community Health and Preventive Medicine, Hamamatsu University School of Medicine, Shizuoka, Japan.ORCID https://orcid.org/0000-0001-6888-0698
Tomohiro ShinozakiDepartment of Information and Computer Technology, Faculty of Engineering, Tokyo University of Science, Tokyo, Japan.ORCID https://orcid.org/0000-0003-3395-9691
Manabu IchikawaCollege of Systems Engineering and Science, Shibaura Institute of Technology, Tokyo, Japan.ORCID https://orcid.org/0000-0002-5943-516X
Nahoko HaradaFaculty of Interdisciplinary Science and Engineering in Health Systems, School of Nursing, Faculty of Health Sciences, Okayama University, Okayama, Japan.ORCID https://orcid.org/0000-0002-8798-9979
Yasushi IshidaDepartment of Psychiatry, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan.ORCID https://orcid.org/0000-0002-7601-4906
Chiba University · JPHamamatsu University School of Medicine · JPKyushu University · JPNational Center for Geriatrics and Gerontology · JPOkayama University · JPShibaura Institute of Technology · JPTokyo University of Science · JPUniversity of Miyazaki · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Suicide prevention is a crucial policy issue in Japan to be addressed nationally. Nevertheless, if there are regional differences in suicide, even in adjacent sub-regions, measures may need to be taken at the sub-regional level. Previous studies have not compared regional differences in suicide based on the size of policy units, such as prefectures, secondary medical areas, and municipalities. This study used the number of suicides from open data for 10 years from 2009 to 2018 to obtain shrinkage estimates of the standardized mortality ratio (SMR) using the Bayesian hierarchical model. We visualized and compared the regional disparities in suicide for each policy unit. For each gender and policy unit, adjacent regions had similar clusters of SMRs and positive spatial autocorrelation of global Moran's I (p < 0.001 for each). Comparisons between each policy unit showed that even if the SMR was low for the prefectural units, there were regions with high SMRs in municipalities and secondary medical areas, and vice versa. It was found that assessing suicide solely on a prefecture-by-prefecture basis may overlook regional disparities in suicide. This research emphasizes the need to establish suicide indicators at the secondary medical or municipal level and execute individual suicide prevention interventions in neighboring communities. Prefectures can also play a role in developing collaborative cooperation between neighboring regions by acting as actors.

Identifiers

PMID36962746
PMCPMC10021712
OpenAlexW4291906420

What OpenQuestion holds

Textfull text, public
LicenceCC BY
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identifiers read10
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.