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护理与助产学专业学生对新冠疫苗的遗憾及未来接种意愿:一项混合方法研究

Nursing and Midwifery Students' COVID-19 Vaccine Regrets and Future Vaccination Intentions: A Mixed Methods Study.

作者信息

Tayhan Ali, Bozhan Tayhan Esra, Şahin Büyük Damla

机构信息

Department of Nursing, Faculty of Health Sciences, Manisa Celal Bayar University, Manisa, Turkey.

Department of Midwifery, Faculty of Health Sciences, Manisa Celal Bayar University, Manisa, Turkey.

出版信息

Nurs Health Sci. 2025 Mar;27(1):e70039. doi: 10.1111/nhs.70039.


DOI:10.1111/nhs.70039
PMID:39832812
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11745843/
Abstract

Regret over COVID-19 vaccine decisions is a post-pandemic phenomenon that needs further research. This mixed-method research was conducted to examine nursing-midwifery students' COVID-19 vaccine decision regret and their intention to get vaccinated in the next pandemic. The research includes quantitative and qualitative research processes. In the first phase, a quantitative (cross-sectional) study was conducted, collecting data from 602 participants who met the inclusion criteria. In the second phase, semi-structured interviews were conducted with 16 participants. Data were collected using the Decision Regret Scale and semi-structured interview form. Data were analyzed using Student's t-test, one-way anova test, and inductive content analysis, and reported using Good Reporting of a Mixed Methods Study. In the study, it was determined that 96.3% of the participants had received the COVID-19 vaccine and 50.0% regretted getting vaccinated. As a result of the analysis of qualitative data, the following themes emerged that could reveal the reasons for vaccine regret; forced compliance, a strange pandemic, unknown effects, and vaccine hesitancy. Students' experiences in the COVID-19 pandemic have the potential to increase negative attitudes towards their vaccines.

摘要

对新冠疫苗决策的后悔是一种大流行后现象,需要进一步研究。本混合方法研究旨在调查护理助产专业学生对新冠疫苗决策的后悔情况以及他们在下一次大流行中接种疫苗的意愿。该研究包括定量和定性研究过程。在第一阶段,进行了一项定量(横断面)研究,从602名符合纳入标准的参与者中收集数据。在第二阶段,对16名参与者进行了半结构化访谈。使用决策后悔量表和半结构化访谈表格收集数据。使用学生t检验、单因素方差分析和归纳性内容分析对数据进行分析,并按照混合方法研究的良好报告方式进行报告。在该研究中,确定96.3%的参与者接种了新冠疫苗,50.0%的参与者后悔接种。定性数据分析的结果出现了以下几个主题,这些主题可以揭示疫苗后悔的原因:强制依从、奇特的大流行、未知的影响以及疫苗犹豫。学生在新冠大流行中的经历有可能增加他们对疫苗的负面态度。

相似文献

[1]
Nursing and Midwifery Students' COVID-19 Vaccine Regrets and Future Vaccination Intentions: A Mixed Methods Study.

Nurs Health Sci. 2025-3

[2]
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[3]
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[4]
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[5]
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[6]
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[7]
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[8]
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[9]
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[10]
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引用本文的文献

[1]
Vaccine Attitudes, Knowledge, and Confidence Among Nursing, Pediatric Nursing, and Midwifery Undergraduate Students in Italy.

Vaccines (Basel). 2025-7-30

[2]
Attitudes and behaviors toward vaccination among nursing students from Spain and Portugal: a cross-sectional study.

BMC Nurs. 2025-8-4

本文引用的文献

[1]
Decision Regret and Vaccine Hesitancy among Nursing Students and Registered Nurses in Italy: Insights from Structural Equation Modeling.

Vaccines (Basel). 2024-9-14

[2]
Vaccine hesitancy among nursing and midwifery undergraduate students in Switzerland: protocol for an online national study.

Front Public Health. 2023

[3]
Exploring COVID-19 conspiracy theories: education, religiosity, trust in scientists, and political orientation in 26 European countries.

Sci Rep. 2023-10-23

[4]
From Conspiracy to Hesitancy: The Longitudinal Impact of COVID-19 Vaccine Conspiracy Theories on Perceived Vaccine Effectiveness.

Vaccines (Basel). 2023-6-25

[5]
Factors associated with COVID-19 vaccination hesitancy in South Korea: A cross-sectional study.

Nurs Health Sci. 2023-9

[6]
Volatility of the COVID-19 vaccine hesitancy: sentiment analysis conducted in Brazil.

Front Public Health. 2023

[7]
Self-reported side effects following COVID-19 vaccination in athletes: A retrospective study.

Hum Vaccin Immunother. 2023-8-1

[8]
Mapping the literature on decision regret in patients with non-communicable diseases (NCDs): a scoping review protocol.

BMJ Open. 2023-7-18

[9]
COVID-19 vaccines adverse events: potential molecular mechanisms.

Immunol Res. 2023-6

[10]
The Prevalence, Features, Influencing Factors, and Solutions for COVID-19 Vaccine Misinformation: Systematic Review.

JMIR Public Health Surveill. 2023-1-11

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