Personal and Workplace Characteristics as Predictors of Intent‐To‐Stay Among Registered Nurses: An Exploratory Quantitative Multicentre Study DOI
Ming Marcus Chua, Wei How Darryl Ang, An Ling Siew

et al.

Journal of Advanced Nursing, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 26, 2024

ABSTRACT Aim This study aims to describe and examine the factors associated with registered nurses' intent‐to‐stay subsequently identify predictors of intent‐to‐stay. Design A quantitative, cross‐sectional correlational design was used. Methods convenience sample 270 nurses completed questionnaire included in this study. Descriptive statistics were used present sociodemographic characteristics scores outcome measures. Pearson's correlation coefficient multiple linear regression backward selection conducted how workplace influence Results The mean age participants 29.2 years. for outcomes (mean = 2.96), resilience 3.34), occupational self‐efficacy 4.34), sleep quality 9.73) environment 3.15). analysis showed that resilience, self‐efficacy, self‐realisation workload positively correlated while negatively Multiple found quality, workload, nervousness, designation specialisation status be significant Conclusion Intent‐to‐stay is a complex multidimensional construct influenced by variety personal factors. Hospital administrators should endeavour develop measures improve nervousness push training bolster Impact Against an everchanging healthcare landscape following COVID‐19 pandemic, findings contribute deeper understanding alluded importance professional development as can prioritise workforce retention policies introducing strategies such opportunities upskilling, flexible working hours streamlining work processes promote Patient or Public Contribution No patient public contribution.

Language: Английский

Exploring influencing factors of health resilience for urban buildings by integrated CHATGPT-empowered BERTopic model: A case study of Hong Kong DOI

Tianjiao Shan,

Fan Zhang, Albert P.C. Chan

et al.

Environmental Impact Assessment Review, Journal Year: 2025, Volume and Issue: 112, P. 107852 - 107852

Published: Feb. 8, 2025

Language: Английский

Citations

0
Personal and Workplace Characteristics as Predictors of Intent‐To‐Stay Among Registered Nurses: An Exploratory Quantitative Multicentre Study DOI
Ming Marcus Chua, Wei How Darryl Ang, An Ling Siew

et al.

Journal of Advanced Nursing, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 26, 2024

ABSTRACT Aim This study aims to describe and examine the factors associated with registered nurses' intent‐to‐stay subsequently identify predictors of intent‐to‐stay. Design A quantitative, cross‐sectional correlational design was used. Methods convenience sample 270 nurses completed questionnaire included in this study. Descriptive statistics were used present sociodemographic characteristics scores outcome measures. Pearson's correlation coefficient multiple linear regression backward selection conducted how workplace influence Results The mean age participants 29.2 years. for outcomes (mean = 2.96), resilience 3.34), occupational self‐efficacy 4.34), sleep quality 9.73) environment 3.15). analysis showed that resilience, self‐efficacy, self‐realisation workload positively correlated while negatively Multiple found quality, workload, nervousness, designation specialisation status be significant Conclusion Intent‐to‐stay is a complex multidimensional construct influenced by variety personal factors. Hospital administrators should endeavour develop measures improve nervousness push training bolster Impact Against an everchanging healthcare landscape following COVID‐19 pandemic, findings contribute deeper understanding alluded importance professional development as can prioritise workforce retention policies introducing strategies such opportunities upskilling, flexible working hours streamlining work processes promote Patient or Public Contribution No patient public contribution.

Language: Английский

Citations

0