論文

国際誌
2023年6月8日

Classification by Nurses' Work Values and Their Characteristics: Latent Profile Analysis of Nurses Working in Japanese Hospitals.

Nursing reports (Pavia, Italy)
  • Yukari Hara
  • ,
  • Hideyuki Hirayama
  • ,
  • Nozomu Takada
  • ,
  • Shoko Sugiyama
  • ,
  • Masako Yamada
  • ,
  • Miki Takahashi
  • ,
  • Keita Toshi
  • ,
  • Kyoko Asakura

13
2
開始ページ
877
終了ページ
889
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.3390/nursrep13020077

This study aimed to classify nurses with similar work values into subgroups by examining their intrinsic, extrinsic, social, and prestige work values. Additionally, we clarified the characteristics of the obtained subgroups using personal attributes, work engagement, and life satisfaction. Using a cross-sectional observational study design, we randomly sampled 52 hospitals in the Tohoku region of Japan and conducted a self-administered questionnaire survey with 2600 nurses. Latent profile analysis was performed to identify the number of subgroups. Of the 1627 collected questionnaires, 1587 were regarded as valid. The latent profile analysis revealed the following five subgroups with strong statistical significance: (1) self-oriented, (2) low, (3) medium-low, (4) medium-high, and (5) high types. The means of work engagement and life satisfaction gradually increased from the (2) low- to (5) high-type subgroups. There were significant differences among the subgroups in terms of marital status, child status, and job title. The (5) high-type subgroup had many nurses with job titles, high work engagement, and high life satisfaction. The (2) low-type subgroup included many nurses who were young, had few years of experience, were married, had children, and had low levels of work engagement and life satisfaction. Preregistration: This study was not registered.

リンク情報
DOI
https://doi.org/10.3390/nursrep13020077
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/37368344
PubMed Central
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10302250
ID情報
  • DOI : 10.3390/nursrep13020077
  • PubMed ID : 37368344
  • PubMed Central 記事ID : PMC10302250

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