Changes in the number of public health nurses employed in local governments in Japan during the Covid-19 pandemic: A cross-sectional study
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Abstract
Objectives
This study aims to clarify the recruitment of public health nurses in local governments in Japan during the Covid-19 pandemic.
Study design
A cross-sectional study.
Methods
A cross-sectional study of 150 local governments that have public health centers in Japan was conducted. The survey period was November to December 2021. The survey items were the number of full-time and part-time public health nurses (PHNs), the number of PHNs who resigned or retired from the job, and the number of PHN recruitment examinations for each year from 2017 to 2021. For all variables, the mean, standard deviation, maximum, and minimum values for each type of municipality and year were calculated, and a one-way analysis of variance was performed.
Results
The recovery rate was 54.0% (81/150). Although a statistically significant difference was not recorded in the change in employment status of PHNs from 2019 to 2020, during the year that COVID-19 infection began in Japan, the number of full-time PHNs increased by only 2.6 at the maximum, while the number of part-time PHNs was 5.2±8.3 to 10.8±9.6 (p = 0.61) for prefectures, from 13.6±13.1 to 21.5±34.8 (p = 0.23) for city, and from 16.8±26.8 to 52.3±132.5 (p = 0.70) for ward.
Conclusions
This study reveals that support for the increased workload due to COVID-19 is heavily dependent on part-time PHNs. Drastic change to the ideal way of the original countermeasure to Covid-19 in Japan or the supply of stronger human support to the public health center might be desired.
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SciScore for 10.1101/2022.02.06.22270346: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics not detected. Sex as a biological variable not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Table 2: Resources
No key resources detected.
Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter:…
SciScore for 10.1101/2022.02.06.22270346: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics not detected. Sex as a biological variable not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Table 2: Resources
No key resources detected.
Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
Results from scite Reference Check: We found no unreliable references.
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