[Turnover intentions of public health nurses after responding to COVID-19: A comparison with 10 years ago (A report of the Committee on Public Health Nursing 2022/2023 survey)].

Aya Iguchi, Atsuko Taguchi, Taichi Sato, Megumi Iwamoto, Hiroko Okuda, Soichiro Mochizuki, Taeko Shimazu, Tomofumi Sone, Kaori Maeda, Maki Muroka, Eri Mochida, Junko Omori
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Abstract

Objectives This study aimed to determine how turnover intentions among public health nurses have changed following their coronavirus disease 2019 (COVID-19) response compared to 10 years ago, using propensity score matching.Methods As part of the Committee on Public Health Nursing's 2022/2023 activities, we conducted a repeated cross-sectional survey among public health nurses based on the Job Demands-Resources Model, a theoretical framework for turnover intentions. We collected cross-sectional observational data from periods before and after the COVID-19 outbreak. Pre-pandemic data came from a 2013 survey ("2013 survey"), while post-pandemic data were collected between December 2022 and February 2023 ("2023 survey"). For the 2023 survey, we created a self-administered questionnaire similar to the 2013 instrument. We stratified and sampled 4,000 full-time public health nurses for distribution, ensuring the proportion of full-time public health nurses matched that of employees in established administrative organizations nationwide. After adjusting for 11 covariates-including sex and administrative classification of respondents' municipalities-through propensity scores, we extracted data for analysis. We compared turnover intentions using the χ2 test and compared burnout and work engagement, as mediating variables for turnover intention, using t-tests.Results The 2023 survey yielded 2,127 valid responses (53.2% valid response rate), and the 2013 survey provided 1,798 responses. After propensity score matching, 2,492 responses (1,246 per group) were used for analysis. Compared to the survey conducted ten years ago, the 2023 survey included more respondents who were staff members or chiefs in health sectors, prefectures, and local governments with jurisdictions exceeding 300,000 people. However, after propensity score matching adjustment, standardized differences for all adjustment variables fell below 0.1, confirming homogenized distributions and composition ratios between groups. Compared to 2013, significantly more public health nurses in the 2023 survey reported turnover intentions. Additionally, public health nurses experienced greater burnout and lower work engagement than 10 years ago.Conclusion These findings suggest that the COVID-19 response may have exhausted public health nurses and increased their turnover intentions. Further analysis of job demands and resources as factors influencing burnout and work engagement is needed to ensure the career continuity of public health nurses.

[应对COVID-19后公共卫生护士的离职意向:与10年前的比较(公共卫生护理委员会2022/2023年调查报告)]。
本研究旨在通过倾向评分匹配,确定与10年前相比,公共卫生护士在应对2019冠状病毒病(COVID-19)后离职意向的变化。方法作为公共卫生护理委员会2022/2023年活动的一部分,我们基于工作需求-资源模型(离职意向的理论框架)对公共卫生护士进行了重复横断面调查。我们收集了COVID-19爆发前后的横断面观测数据。大流行前的数据来自2013年的一次调查(“2013年调查”),而大流行后的数据是在2022年12月至2023年2月期间收集的(“2023年调查”)。对于2023年的调查,我们创建了一个类似于2013年工具的自我管理问卷。分层抽样4000名专职公共卫生护士进行分布,确保专职公共卫生护士与全国建制行政机构职工比例匹配。在通过倾向得分调整了11个协变量(包括受访者所在城市的性别和行政分类)后,我们提取了数据进行分析。我们使用χ2检验比较离职倾向,并使用t检验比较倦怠和工作投入作为离职倾向的中介变量。结果2023年调查共收到有效回复2127份,有效回复率53.2%,2013年调查收到有效回复1798份。倾向评分匹配后,2492份回复(每组1246份)用于分析。与10年前的调查相比,2023年的调查对象中有更多是卫生部门、县和辖区人口超过30万的地方政府的工作人员或负责人。然而,经过倾向得分匹配调整后,所有调整变量的标准化差异均降至0.1以下,证实了组间均匀分布和构成比。与2013年相比,在2023年的调查中,更多的公共卫生护士报告了离职意向。此外,与10年前相比,公共卫生护士经历了更大的倦怠和更低的工作投入。结论COVID-19应对可能使公共卫生护士筋疲力尽,增加了他们的离职意愿。需要进一步分析工作需求和资源作为影响职业倦怠和工作投入的因素,以确保公共卫生护士职业的连续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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