Evidence map›Paper›PMID 36235557›Full record

ArticleNutrients2022

Possible Measures to Improve Both Participation and Response Quality in Japan's National Health and Nutrition Survey: Results from a Workshop by Local Government Personnel in Charge of the Survey.

Midori Ishikawa, Tetsuji Yokoyama, Hidemi Takimoto

Abstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

3 authors.

Midori IshikawaDepartment of Health Promotion, National Institute of Public Health, Saitama 351-0197, Japan.ORCID 0000-0002-3451-5710
Tetsuji YokoyamaDepartment of Health Promotion, National Institute of Public Health, Saitama 351-0197, Japan.
Hidemi TakimotoDepartment of Nutritional Epidemiology and Shokuiku, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo 162-8636, Japan.ORCID 0000-0002-2751-8710

Funding

Health and Labor Sciences Research Grant 20FA1019
6 · The paper itself

Abstract

Increasing participation rates are crucial to ensure the representativeness of national survey results of the population. This study aimed to identify measures that could be taken by local government personnel in charge of the National Health and Nutrition Survey (NHNS), Japan, to improve participation rates. The subjects were twenty-one health personnel who worked in 19 local governments and participated in the training course at the National Institute of Public Health. Qualitative data were collected through a workshop. They discussed the problems that seem to affect participation rates and identified possible solutions. The contents were coded and grouped to create categories, using the Jiro Kawakita (KJ) method. For data analysis, researchers combined and reviewed all codes and categories. The measures that could improve participation rates were divided into the following 12 categories: 1. standardization of survey methods, 2. investigator skills, 3. survey organization, 4. venue setting, 5. accessing target households, 6. time of survey, 7. responses during the investigation, 8. confirming meal contents reported in the nutritional intake status survey, 9. rewards/incentives, 10. possible rewards, 11. feedback on survey results, and 12. survey practices during the COVID-19 pandemic. These findings represent viable initiatives for local health personnel to increase participation rates for the NHNS.

Indexed as

COVID-19Local GovernmentHumansJapanPandemicsSurveys and Questionnairescategorylocal government health personnelNational Health and Nutrition Surveyparticipation rateworkshop

Identifiers

PMID36235557
PMCPMC9571403

What OpenQuestion holds

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LicenceCC BY
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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.