The publication pressure profiles among Chinese nurses: a latent profile analysis

Autor: Dan-Dan Ju, Xin-Xue Xi, Tie-Ying Zeng, Ye Chen, Ke Zhang
Rok vydání: 2022
DOI: 10.21203/rs.3.rs-1471132/v1
Popis: Background: Previous studies rarely addressed the issue of high publication pressure among nurses and the effects of such phenomenon on nursing research development. The present study aimed o identify the profiles of publication pressure among nurses and explore the protective factors for nurses' publication pressure.Methods: A cross-sectional study was conducted involving 924 nurses from a tertiary hospital in China. Latent profile analysis was adopted to identify publication pressure profiles among nurses. Multinomial regression was conducted to detect the identified characteristics' effect on publication pressure profiles.Results: Consistent with the Job Demands-resources Model, four profiles were divided. Profile III had the highest publication rate and a high job and life satisfaction level. The heaviest publication pressure (Profile I) was associated with a high professional title, protected by solid research capacity, adequate organizational support, and emphasis on nursing research.Conclusions: Nurses exhibit distinct profiles of publication pressure that reflect the imbalance between demands and resources among profiles. Current analyses suggest that Profile I nurses are particularly inneed of interventions addressing the heaviest publication pressure. Profile III nurses are adapted to the development of nursing research. The findings highlight that nursing managers could cultivate Profile III's nursing talents and formulate the targeted intervention for Profile I, II, and IV.
Databáze: OpenAIRE