Evidence map›Paper›PMID 38760814›Full record

ArticleBMC health services research2024

Key issues in Japan's public health centers to prepare for future pandemics: a text mining study using a topic model.

Kosuke Sakai, Yu Igarashi, Shuji Tounai, Chika Shirai, Yoko Tsurugi, Fumihiko Kakuno, Yukako Komasa, Maya Fujimura, Mika Uruha, Koji Mori and 1 more

Abstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Kosuke SakaiDepartment of Occupational Health Practice and Management, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, 1-1 Iseigaoka Yahatanishi-Ku, Kitakyushu-Shi, Fukuoka-Ken, 807-8555, Japan.ORCID http://orcid.org/0000-0001-8211-0833
Yu IgarashiDisaster Occupational Health Center, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, 1-1 Iseigaoka Yahatanishi-Ku, Kitakyushu-Shi, Fukuoka-Ken, 807-8555, Japan. igamailos50@med.uoeh-u.ac.jp.ORCID http://orcid.org/0000-0001-7581-2968
Shuji TounaiOita Prefecture Welfare and Public Health Department, Otemachi, Oita-shi, Oita-ken, 870-0022, Japan.
Chika ShiraiHirakata City Public Health Center, 2-2-2 Ogaitocho, Hirakata-shi, Osaka-fu, 573-0027, Japan.
Yoko TsurugiKikuchi Public Health Center, Kumamoto, 1272-10 Waifu, Kikuchi-shi, Kumamoto-ken, 861-1331, Japan.
Fumihiko KakunoShiga prefecture Department of Public Health and Medical Welfare, 4-1-1 Kyomachi, Otsu-Shi, Shiga-Ken, 520-8577, Japan.
Yukako KomasaDepartment of Community and Global Health, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo-to, 113-0033, Japan.ORCID http://orcid.org/0000-0003-4837-2033
Maya FujimuraDepartment of Community and Global Health, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo-to, 113-0033, Japan.ORCID http://orcid.org/0000-0002-2713-8152
Mika UruhaSchool of Medicine, University of Occupational and Environmental Health, Japan, 1-1 Iseigaoka Yahatanishi-ku, Kitakyushu-shi, Fukuoka-ken, 807-8555, Japan.ORCID http://orcid.org/0009-0002-0354-388X
Koji MoriDepartment of Occupational Health Practice and Management, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, 1-1 Iseigaoka Yahatanishi-Ku, Kitakyushu-Shi, Fukuoka-Ken, 807-8555, Japan.ORCID http://orcid.org/0000-0002-8821-4438
Seiichiro TateishiDisaster Occupational Health Center, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, 1-1 Iseigaoka Yahatanishi-Ku, Kitakyushu-Shi, Fukuoka-Ken, 807-8555, Japan.ORCID http://orcid.org/0000-0002-9774-6479

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Japan, over 450 public health centers played a central role in the operation of the local public health system in response to the COVID-19 pandemic. This study aimed to identify key issues for improving the system for public health centers for future pandemics.

methodsWe conducted a cross-sectional study using an online questionnaire. The respondents were first line workers in public health centers or local governments during the pandemic. We solicited open-ended responses concerning improvements needed for future pandemics. Issues were identified from these descriptions using morphological analysis and a topic model with KHcoder3.0. The number of topics was estimated using Perplexity as a measure, and Latent Dirichlet Allocation for meaning identification.

resultsWe received open-ended responses from 784 (48.6%) of the 1,612 survey respondents, which included 111 physicians, 330 nurses, and 172 administrative staff. Morphological analysis processed these descriptions into 36,632 words. The topic model summarized them into eight issues: 1) establishment of a crisis management system, 2) division of functions among public health centers, prefectures, and medical institutions, 3) clear role distribution in public health center staff, 4) training of specialists, 5) information sharing system (information about infectious diseases and government policies), 6) response to excessive workload (support from other local governments, cooperation within public health centers, and outsourcing), 7) streamlining operations, and 8) balance with regular duties.

conclusionsThis study identified key issues that need to be addressed to prepare Japan's public health centers for future pandemics. These findings are vital for discussions aimed at strengthening the public health system based on experiences from the COVID-19 pandemic.

Indexed as

COVID-19PandemicsCross-Sectional StudiesData MiningHumansJapanMalePublic HealthSARS-CoV-2Surveys and QuestionnairesCOVID-19Data miningPandemicPublic health systems research

Identifiers

PMID38760814
PMCPMC11100133

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.