2 datasets found
  1. f

    Data from: S1 Dataset -

    • figshare.com
    bin
    Updated Apr 16, 2024
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    Shiao-Pei Hung; Jin-Lain Ming; Mei-Yu Chang; Chi Wang; Chii Jeng (2024). S1 Dataset - [Dataset]. http://doi.org/10.1371/journal.pone.0301787.s001
    Explore at:
    binAvailable download formats
    Dataset updated
    Apr 16, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Shiao-Pei Hung; Jin-Lain Ming; Mei-Yu Chang; Chi Wang; Chii Jeng
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Background and objectivesNurses tend to exhibit higher rates of presenteeism compared to other professions. Presenteeism can cause the work performance of nurses to suffer, jeopardizing their own and their patients’ safety and leading to decreased quality of care and increased risks of errors. However, there is a lack of a validated assessment tool for presenteeism in Taiwan. Thus, the purpose of this study was to develop a Nursing Staff Presenteeism Scale (NSPS).MethodsTo develop questionnaire items, participants from three medical centers in Taiwan were recruited. Through convenience sampling, 500 nurses who met the selection criteria were recruited from November 1, 2022 to January 18, 2023. The scale was developed based on a systematic literature review, a previous study, and expert consultation, and 50 items were initially generated. After removing three items that lacked discriminative power, the reliability and validity of the remaining 47 items were evaluated. An exploratory factor analysis was used to establish the construct validity. A confirmatory factor analysis and structural equation modeling for cross-validation were used to assess relationships of factors with items and the overall NSPS.ResultsThe final scale consisted of 44 items assessed on a five-point Likert scale that loaded onto three different factors of physical or mental discomfort (18 items), work performance (15 items), and predisposing factors (11 items). These three factors were found to explain 63.14% of the cumulative variance. Cronbach’s alpha for the overall final scale was 0.953. The item-to-total correlation coefficients ranged 0.443 to 0.795.ConclusionsThe NSPS exhibited satisfactory reliability and validity. It can be applied to assess the level of presenteeism among clinical nurses and provide medical institutions with information regarding the causes of presenteeism, predisposing factors, and the impacts of presenteeism on their work performance to enhance the safety and quality of clinical care.

  2. f

    Demographic and nursing characteristics.

    • plos.figshare.com
    xls
    Updated Apr 16, 2024
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    Shiao-Pei Hung; Jin-Lain Ming; Mei-Yu Chang; Chi Wang; Chii Jeng (2024). Demographic and nursing characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0301787.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Apr 16, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Shiao-Pei Hung; Jin-Lain Ming; Mei-Yu Chang; Chi Wang; Chii Jeng
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Background and objectivesNurses tend to exhibit higher rates of presenteeism compared to other professions. Presenteeism can cause the work performance of nurses to suffer, jeopardizing their own and their patients’ safety and leading to decreased quality of care and increased risks of errors. However, there is a lack of a validated assessment tool for presenteeism in Taiwan. Thus, the purpose of this study was to develop a Nursing Staff Presenteeism Scale (NSPS).MethodsTo develop questionnaire items, participants from three medical centers in Taiwan were recruited. Through convenience sampling, 500 nurses who met the selection criteria were recruited from November 1, 2022 to January 18, 2023. The scale was developed based on a systematic literature review, a previous study, and expert consultation, and 50 items were initially generated. After removing three items that lacked discriminative power, the reliability and validity of the remaining 47 items were evaluated. An exploratory factor analysis was used to establish the construct validity. A confirmatory factor analysis and structural equation modeling for cross-validation were used to assess relationships of factors with items and the overall NSPS.ResultsThe final scale consisted of 44 items assessed on a five-point Likert scale that loaded onto three different factors of physical or mental discomfort (18 items), work performance (15 items), and predisposing factors (11 items). These three factors were found to explain 63.14% of the cumulative variance. Cronbach’s alpha for the overall final scale was 0.953. The item-to-total correlation coefficients ranged 0.443 to 0.795.ConclusionsThe NSPS exhibited satisfactory reliability and validity. It can be applied to assess the level of presenteeism among clinical nurses and provide medical institutions with information regarding the causes of presenteeism, predisposing factors, and the impacts of presenteeism on their work performance to enhance the safety and quality of clinical care.

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Share
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Click to copy link
Link copied
Close
Cite
Shiao-Pei Hung; Jin-Lain Ming; Mei-Yu Chang; Chi Wang; Chii Jeng (2024). S1 Dataset - [Dataset]. http://doi.org/10.1371/journal.pone.0301787.s001

Data from: S1 Dataset -

Related Article
Explore at:
binAvailable download formats
Dataset updated
Apr 16, 2024
Dataset provided by
PLOS ONE
Authors
Shiao-Pei Hung; Jin-Lain Ming; Mei-Yu Chang; Chi Wang; Chii Jeng
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Background and objectivesNurses tend to exhibit higher rates of presenteeism compared to other professions. Presenteeism can cause the work performance of nurses to suffer, jeopardizing their own and their patients’ safety and leading to decreased quality of care and increased risks of errors. However, there is a lack of a validated assessment tool for presenteeism in Taiwan. Thus, the purpose of this study was to develop a Nursing Staff Presenteeism Scale (NSPS).MethodsTo develop questionnaire items, participants from three medical centers in Taiwan were recruited. Through convenience sampling, 500 nurses who met the selection criteria were recruited from November 1, 2022 to January 18, 2023. The scale was developed based on a systematic literature review, a previous study, and expert consultation, and 50 items were initially generated. After removing three items that lacked discriminative power, the reliability and validity of the remaining 47 items were evaluated. An exploratory factor analysis was used to establish the construct validity. A confirmatory factor analysis and structural equation modeling for cross-validation were used to assess relationships of factors with items and the overall NSPS.ResultsThe final scale consisted of 44 items assessed on a five-point Likert scale that loaded onto three different factors of physical or mental discomfort (18 items), work performance (15 items), and predisposing factors (11 items). These three factors were found to explain 63.14% of the cumulative variance. Cronbach’s alpha for the overall final scale was 0.953. The item-to-total correlation coefficients ranged 0.443 to 0.795.ConclusionsThe NSPS exhibited satisfactory reliability and validity. It can be applied to assess the level of presenteeism among clinical nurses and provide medical institutions with information regarding the causes of presenteeism, predisposing factors, and the impacts of presenteeism on their work performance to enhance the safety and quality of clinical care.

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