# Potential profile analysis and influencing factors of physical nurse job embedding

## TL;DR

This study identifies different levels of job embeddedness among physical examination nurses and finds factors like income and job satisfaction that influence their commitment.

## Contribution

The study introduces a novel application of latent profile analysis to categorize job embeddedness levels and identify key influencing factors in physical examination nurses.

## Key findings

- Three distinct job embeddedness profiles were identified: low (26.7%), medium (31.4%), and high (41.9%).
- Annual income, promotion satisfaction, retention intention, and psychological capital significantly influence job embeddedness (p < 0.05).
- Recommendations include improving income and management structures to enhance job embeddedness and stabilize the nursing workforce.

## Abstract

This study aims to analyze the latent profiles of job embeddedness among physical examination nurses and their influencing factors, providing a scientific basis for nursing talent management.

Using convenience sampling, 150 physical examination nurses from Shanghai Public Health Clinical Center were surveyed. Data were collected using a general information questionnaire, the Job Embeddedness Scale, the Nurse Retention Intention Scale, the Nurse Work Environment Scale, and the Psychological Capital Questionnaire (PCQ). Latent profile analysis and multivariate logistic regression analysis were employed.

The average score of job embeddedness among nurses was 69.89 ± 11.67, revealing three latent profiles: low (26.7%), medium (31.4%), and high (41.9%). Multivariate analysis indicated that annual income, promotion satisfaction, retention intention, and psychological capital (PCQ) were the main influencing factors (p < 0.05).

Job embeddedness among physical examination nurses exhibits heterogeneity. It is recommended to enhance job embeddedness and stabilize the nursing workforce through comprehensive measures, such as establishing standardized management systems, optimizing nursing management structures, and ensuring reasonable income.