The current status and influencing factors of work-family behavioral role conflict among Operating Room nurses from the resource perspective
10.3760/cma.j.cn115682-20240122-00429
- VernacularTitle:资源视角下手术室护士工作-家庭行为角色冲突现状及影响因素分析
- Author:
Zihan LIN
1
;
Yujia SHI
;
Hao ZHANG
;
Ran FENG
Author Information
1. 郑州大学附属肿瘤医院（河南省肿瘤医院） 麻醉与围术期医学科，郑州 450008
- Keywords:
Cross-sectional study;
Operating Room nurse;
Work-family behavioral role conflict;
Organizational support perception;
Family care;
Logistic regression;
Deci
- From:
Chinese Journal of Modern Nursing
2024;30(13):1706-1712
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the current status of work-family behavioral role conflict among Operating Room nurses from the resource perspective and analyze its influencing factors using Logistic regression and decision tree models.Methods:A convenience sampling method was used to survey 1 231 Operating Room nurses from 20 hospitals in Henan Province from September to November 2023, utilizing a general information questionnaire, Survey of Nurse Perceived Organizational Support (SNPOS), Family APGAR Index (APGAR), and Work-Family Behavioral Role Conflict Scale (WFBRCS). Univariate analysis, Logistic regression, and decision tree model analyses were applied to identify factors affecting work-family behavioral role conflict among the Operating Room nurses.Results:A total of 1 231 questionnaires were retrieved, and 1 182 were validly questionnaires, resulting in a retrieving rate of 96.02%. Both models identified gender, having children, hospital type, organizational support perception, and family care as influencing factors of work-family behavioral role conflict among the Operating Room nurses ( P<0.05). The areas under the curve ( AUC) for the receiver operating characteristic curves of the Logistic regression and decision tree models were 0.782 and 0.735, respectively, with sensitivities of 76.1% and 65.9%, and specificities of 67.2% and 74.1%, respectively. Conclusions:The work-family behavioral role conflict among Operating Room nurses is at a moderate level and influenced by multiple factors. Both Logistic regression and decision tree models have predictive value for classification, with the Logistic regression model showing higher sensitivity and the decision tree model showing higher specificity. The complementary use of both models has more clinical significance.
