Relationship between research activities and individual factors among Japanese nursing researchers during the COVID-19 pandemic

Takeuchi, Ayano; Yokota, Shinichiroh; Tomotaki, Ai; Fukahori, Hiroki; Shimpuku, Yoko; Yoshinaga, Naoki

doi:10.1371/journal.pone.0271001

Cited by 5 publications

(3 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous studies by the JANS project have also shown a relationship between motivation and time spent on research activities (Takeuchi et al, 2022), difficulty in securing sufficient time as a disincentive to research activities (Amano et al, 2021), and other negative environments for research activities and low motivation (Miki et al, 2020). Since the percentage of time spent on research activities among university faculties in Japan has been declining overall, especially in health fields including nursing (MEXT, 2018), it can be inferred that this trend will become stronger with the prolonged COVID‐19 pandemic.…”

Section: Discussionmentioning

confidence: 95%

“…To date, five papers have used this JANS data: (1) Yoshinaga et al (2021), (2) Amano et al (2021), (3) Kazawa et al (2022), (4) Inoue et al (2022) and (5) Takeuchi et al (2022). Yoshinaga et al (2021) extracted data from the nursing college faculty and found a decrease in time spent on research activities and an increase in time spent on teaching.…”

Section: Methodsmentioning

confidence: 99%

“…Inoue et al (2022) compared all respondents in two groups, academic and clinical researchers, and found that time spent on ICT-related activities had a negative impact on research activities. Takeuchi et al (2022) analyzed the effects of individual factors on all respondents and found there were no gender differences, and that research activity was related to time and motivation.…”

Section: Data Collection and Pre-evaluation Of The Datamentioning

confidence: 99%

See 2 more Smart Citations

Prediction models for the impact of the COVID‐19 pandemic on research activities of Japanese nursing researchers using deep learning

Lee

Takahashi

Kawasaki

et al. 2023

Japan Journal Nursing Sci

Self Cite

View full text Add to dashboard Cite

Aim This study aimed to construct and evaluate prediction models using deep learning to explore the impact of attributes and lifestyle factors on research activities of nursing researchers during the COVID‐19 pandemic. Methods A secondary data analysis was conducted from a cross‐sectional online survey by the Japanese Society of Nursing Science at the inception of the COVID‐19 pandemic. A total of 1089 respondents from nursing faculties were divided into a training dataset and a test dataset. We constructed two prediction models with the training dataset using artificial intelligence (AI) predictive analysis tools; motivation and time were used as predictor items for negative impact on research activities. Predictive factors were attributes, lifestyle, and predictor items for each other. The models' accuracy and internal validity were evaluated using an ordinal logistic regression analysis to assess goodness‐of‐fit; the test dataset was used to assess external validity. Predicted contributions by each factor were also calculated. Results The models' accuracy and goodness‐of‐fit were good. The prediction contribution analysis showed that no increase in research motivation and lack of increase in research time strongly influenced each other. Other factors that negatively influenced research motivation and research time were residing outside the special alert area and lecturer position and living with partner/spouse and associate professor position, respectively. Conclusions Deep learning is a research method enabling early prediction of unexpected events, suggesting new applicability in nursing science. To continue research activities during the COVID‐19 pandemic and future contingencies, the research environment needs to be improved, workload corrected by position, and considered in terms of work‐life balance.

show abstract

Section: Discussionmentioning

confidence: 95%

Section: Methodsmentioning

confidence: 99%

Section: Data Collection and Pre-evaluation Of The Datamentioning

confidence: 99%

See 1 more Smart Citation

Prediction models for the impact of the COVID‐19 pandemic on research activities of Japanese nursing researchers using deep learning

Lee

Takahashi

Kawasaki

et al. 2023

Japan Journal Nursing Sci

Self Cite

View full text Add to dashboard Cite

show abstract

Nursing researchers' concern about research activities during the COVID‐19 pandemic: A secondary analysis of longitudinal survey data in Japan

Mitoma,

Tanaka,

Shimpuku

et al. 2024

Research in Nursing & Health

View full text Add to dashboard Cite

The coronavirus disease (COVID‐19) pandemic has negatively affected research activities across various fields. This study aimed to determine nursing researchers' concerns about research activities during the COVID‐19 pandemic in Japan and subsequent changes brought on by it. For this study, we conducted descriptive statistics and text mining analyses using data from two surveys conducted by the Japan Academy of Nursing Science (JANS) in the early days of the pandemic (first survey: mid‐2020) and after 2 years (second survey: early 2022). Concerns about research activities were observed in 89% and 80% of the nursing researchers in the first and second surveys, respectively. Furthermore, concerns about “Difficulty in collecting research data” and “Content and quality of your research” were stronger in the second survey. Text mining analyses revealed that in the first survey, they were concerned about environmental changes and restrictions when proceeding with research during the COVID‐19 pandemic, which was unfamiliar at the time. In the second survey, after overcoming environmental changes in the early stages of the pandemic, nursing researchers' concerns shifted to anxiety about the future, such as concerns about degree acquisition, employment and career advancement, and research results. The current study highlights various concerns among nursing researchers regarding research activities that have evolved over time during the pandemic. Academic societies must flexibly construct support measures for nursing researchers when a new infectious disease occurs. Such measures should be sensitive to the prevailing social circumstances and the evolving needs of researchers.

show abstract

Characteristics and quality of reporting qualitative nursing research related to the COVID-19 pandemic: a systematic search and critical review

Vong,

Rothan-Tondeur,

Nohra

2024

BMC Nurs

View full text Add to dashboard Cite

Background The COVID-19 (Coronavirus disease of 2019) pandemic caused major disruption to nursing research, especially qualitative research. Researchers had to overcome numerous challenges that potentially impacted the quality of the studies carried out. Objectives The aim of this study is to assess the characteristics and quality of reporting qualitative nursing articles on the COVID-19 pandemic. Methods A systematic search and critical review using content analysis was conducted on published nurse-led articles using a qualitative approach related to the COVID-19 pandemic. A combination of the Consolidated Criteria for Reporting Qualitative Research (COREQ) and Standards for Reporting Qualitative Research (SRQR) checklists and additional items identified from the literature were used to assess the characteristics and overall quality of reporting of qualitative research. Results Out of 63,494 articles screened, 444 met the inclusion criteria. Most studies were published in high-impact, Quartile 1 journals, with the majority originating from the USA. Common themes included workforce experiences and the impact of pandemic restrictions. Methodological quality varied, with a notable underuse of standardized reporting checklists. Despite pandemic-induced challenges in data collection, interviews remained the predominant method. However, the adoption of remote research methods and analysis software was limited. Discussion The findings underscore the resilience and adaptability of nursing researchers during the pandemic. High-quality publications in top-tier journals indicate rigorous academic standards. However, the low utilization of reporting checklists suggests a need for greater emphasis on methodological transparency and adherence to established quality guidelines. This review highlights the importance of enhancing qualitative research practices to improve the rigor and reliability of studies, particularly in crisis contexts.

show abstract

Relationship between research activities and individual factors among Japanese nursing researchers during the COVID-19 pandemic

Cited by 5 publications

References 17 publications

Prediction models for the impact of the COVID‐19 pandemic on research activities of Japanese nursing researchers using deep learning

Prediction models for the impact of the COVID‐19 pandemic on research activities of Japanese nursing researchers using deep learning

Nursing researchers' concern about research activities during the COVID‐19 pandemic: A secondary analysis of longitudinal survey data in Japan

Characteristics and quality of reporting qualitative nursing research related to the COVID-19 pandemic: a systematic search and critical review

Contact Info

Product

Resources

About