A literature review of factors related to hospital nurses' health-related quality of life

Yumiko Oyama, Hiroki Fukahori

Research output: Contribution to journalArticlepeer-review

29 Citations (Scopus)

Abstract

Aim: To conduct a literature review in order to determine the predictors of nurses' health-related quality of life and to clarify the implications for nursing management and future study in this area. Background: Good health is essential to the performance of health care workers. Evaluation: Relevant studies were retrieved from PubMed, Medline, CINAHL, the Japan Medical Abstract Society, and the Technology Information Aggregator, Electronic. The studies selected for this review were published in English or Japanese between 1995 and 2012, investigated nurses' health-related quality of life. The identified predictive factors of each study were categorised according to type. Key issues: Based on the criteria, 22 studies were reviewed. The predictive factors of nurses' health-related quality of life were classified into eight categories. Conclusions: Age and occupational stress should be considered when examining unknown predictive factors of nurses' health-related quality of life. In addition, it may be useful to adopt a conceptual framework and consider patient and organisational factors in future research. Implications for nursing management: It is necessary to identify nurses' occupational stressors and consider age during job placement in order to support their health.

Original languageEnglish
Pages (from-to)661-673
Number of pages13
JournalJournal of nursing management
Volume23
Issue number5
DOIs
Publication statusPublished - 2015 Jul 1
Externally publishedYes

Keywords

  • Health personnel
  • Health-related quality of life
  • Literature review
  • Narrative review
  • Nurses

ASJC Scopus subject areas

  • Leadership and Management

Fingerprint

Dive into the research topics of 'A literature review of factors related to hospital nurses' health-related quality of life'. Together they form a unique fingerprint.

Cite this