core competencies in operating room nurses: a cross-sectional correlation study of Latent profile analysis and job Remodeling
A
RemodelingDan Li 1
Xiuying Lu 2✉ Email
Yan Yang 1
Ruohan Hu 1
Qian Li 3
1 School of Nursing Chengdu Medical College 783 Xindu Avenue, Xindu District 610500 Chengdu China
2
A
Department of Surgical Anesthesia Sichuan Cancer Hospital No. 55, Section 4, South Renmin Road 610041 Chengdu China
3 School of Nursing University of Electronic Science and Technology of China 4 Jianshe North Road Section 2, Chenghua District 610054 Chengdu China
Dan Li1, Xiuying Lu2*, Yan Yang1, Ruohan Hu1, Qian Li3
1 School of Nursing, Chengdu Medical College, 783 Xindu Avenue, Xindu District, Chengdu, China, 610500
2 Department of Surgical Anesthesia, Sichuan Cancer Hospital, No. 55, Section 4, South Renmin Road, Chengdu, China, 610041
3 School of Nursing, University of Electronic Science and Technology of China, 4 Jianshe North Road Section 2, Chenghua District, Chengdu, China, 610054
*Correspondence:
Xiuying Lu
L2333052008@163.com
Abstract
Background
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Faced with changing demographics and increasingly complex healthcare needs, China's nursing industry is working hard to address labor shortages and improve core capabilities. To address the nursing crisis, it is imperative to understand the factors that influence nursing capacity. However, existing research has not explored the underlying characteristics of this group's core competencies, which limits the precise targeting of interventions.
Objectives
To identify potential heterogeneous categories of core competencies of Chinese operating room nurses, analyze their influencing factors, and further explore the relationship between different competency categories and Job Remodeling behaviors.
Methods
A
From March to April 2024, a survey was conducted on 13 tertiary grade A hospitals in the southwestern region of China regarding the operating room nurses. Data were collected using a general information questionnaire, the Chinese Registered Nurse Core Competence Scale, and the Work Reshaping Scale. Latent profile analysis was employed to identify the potential categories of core competencies, Logistic regression analysis was used to determine the influencing factors, and variance analysis was applied to compare the differences in work reshaping among nurses in different categories.
Results
A total of 334 operating room nurses participated. The core competencies were classified into three categories: "Basic Group" (10.2%), "Advanced Group" (63.2%) and "Professional Group" (26.6%). Regression analysis indicated that educational level, technical title and years of work were the influencing factors of nurses' core competencies (P < 0.05). The level of work reconfiguration in the "Professional Group" was significantly higher than that of the other two groups (P < 0.05).
Conclusion
The core competencies of operating room nurses have obvious classification characteristics. Nursing managers should promptly identify and pay attention to the "basic group" and "advanced group" groups, and carry out targeted intervention to stabilize the nursing team and promote the development of nursing and medical care.
Keywords:
operating room nurses
core competencies
job reshaping
Latent profile
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A
Introduction
Globally, the rapid expansion of the aging population and growing healthcare needs are exacerbating public health challenges[1]. The service-providing workforce, especially nurses, is facing major challenges from nurse shortages and attrition, which has seriously affected the quality and sustainability of nursing services[2]. Recent data predicts that there will be a shortage of 4.5 million nurses by 2030[3]. Against this macro background, stabilizing and optimizing the existing nurse workforce and improving their professional effectiveness and occupational happiness have become a focus of concern for health policymakers and medical institution managers in various countries[4]. Simply increasing the number of manpower is not the only solution. How to fully tap and unleash the potential of existing nurses through scientific management and capacity building has become a key path to respond to crises and ensure medical safety.
The operating room, as one of the most technologically intensive and stressful environments within the medical system, demands extremely high professional and complex standards for nursing work[5]. In such an environment, the concept of "core competence" becomes particularly crucial. Nursing core competence is defined as the comprehensive manifestation of knowledge, skills, attitudes, and values that nursing professionals must possess throughout their careers to provide safe, efficient, and high-quality nursing services[6, 7]. For operating room nurses, their core competence serves as the foundation for ensuring efficient collaboration among the surgical team, safeguarding the safety of patients during the perioperative period, and enhancing the quality of care and patient satisfaction. It is not only an effective way to enhance the professional competence of individual nurses but also a strategic necessity for improving the core competitiveness of the entire medical institution[8, 9].
Facing the global shortage of nurses and the increasingly tense nurse-patient relationship, merely emphasizing the cultivation of core competencies is not sufficient to fully address the issue of nurse workforce stability. High-intensity pressure, repetitive work, and lack of autonomy are significant reasons for nurse burnout and increased intention to quit. Against this backdrop, the " Job Remodeling " theory offers a new perspective. The concept of Job Remodeling was first proposed by Wrzesniewski and Dutton (2001)[10], who argued that employees do not always passively accept job remodeling but actively shape and adjust their work in terms of tasks, cognition, and interpersonal relationships, thereby making their work more meaningful and personally identifiable. Tims et al[11]. (2012), based on the Job Demands-Resources Model (JD-R Model), presented another perspective, defining it as the autonomous changes made by employees to better match their current work with their abilities or states, including increasing structural job resources, increasing social job resources, increasing challenging job demands, and reducing hindering job demands. Numerous studies have shown that job Remodeling has a crucial positive impact on nurses' personal and professional development[1214]. Through job Remodeling, nurses can enhance their sense of control and work autonomy, improve relationships with colleagues and patients, thereby increasing work engagement[15], enhancing professional happiness[16], and effectively reducing burnout and intention to quit[17]. There is a close mutual promotion relationship between core competencies and job Remodeling. On the one hand, nurses with high-level core competencies are more confident and effective in their work, providing a solid foundation for them to actively engage in job Remodeling and deal with work challenges[6]. On the other hand, through job Remodeling, nurses can optimize work processes and expand professional roles, which in turn promotes the further improvement of their core competencies. A study on respiratory nurses found that psychological empowerment and job Remodeling are both important variables affecting their core competencies[18]. Therefore, in-depth exploration of the potential connection between nurses' core competencies and job Remodeling is of great significance for understanding how to promote positive work behaviors by enhancing core competencies and thereby stabilizing the nursing workforce.
Previous studies on the core competencies of nurses mainly focused on the investigation of the current situation and the exploration of the relationships among related variables. There is still a need for further analysis to determine whether there are heterogeneity differences within the group of nurses' core competencies. Secondly, although some studies have begun to explore the impact of Job Remodeling on nurses' core competencies or job performance, few studies have regarded "core competencies" as a predictor variable and delved into how different levels or categories of "core competencies" affect nurses' " Job Remodeling " behaviors. Therefore, this study intends to adopt a "people-centered" analytical method based on latent variable theory - Latent Profile Analysis (LPA). By identifying the patterns of responses of individuals on multiple consecutive observation indicators, potential subgroups with differences are identified, thereby revealing the heterogeneity structure within the group. This will assist managers in designing and implementing more precise and personalized training programs; at the same time, exploring the positive impact of core competencies on Job Remodeling will help managers take effective measures to stimulate nurses' Job Remodeling behaviors, ultimately achieving the goals of stabilizing the nursing team, improving nursing quality, and enhancing patient safety.
Methods
Study design
This was a cross-sectional study, and the reporting of this study was conducted in accordance with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist[19].
Participants
From March to April 2025, convenience sampling method was used to select operating room nurses from 13 tertiary hospitals in southwest China as research subjects. The inclusion criteria are as follows: (1): Registered nurses; (2): Engaged in operating room nursing for more than 2 years and on the job; (3): Subjects who voluntarily participate in this study and provide written informed consent online. The exclusion criteria were:(1): Absences due to personal leave, sick leave, or maternity leave during the survey period; (2): Interns and newly hired nurses (i.e., those with less than 2 years of operating room experience) were excluded.
Referencing Nylund-Gibson et al.'s[20] sample size test for latent profile analysis, a minimum of 300 cases is required to ensure model parameter stability. Building upon this, the sample size was further calculated using the cross-sectional sample size formula[21]: n = µ²α/2σ²/δ². With α set at 0.05, µα/2 = 1.96, and assuming a permissible error δ = 1.5, the pre-experiment (n = 156) yielded σ = 10.8. Accounting for 5% invalid samples, the required sample size was calculated as 314. This study ultimately included 334 operating room nurses.
A
This study has been reviewed and approved by the Medical Ethics Committee of Sichuan Cancer Hospital (2024 − 301).
Data collection instruments
General information questionnaire
The general information questionnaire was designed by the researcher by reviewing the literature and included thirteen variables, including gender, age, marital status, nature of employment, education level, operating room-related working experience, technical title, administrative position, whether the operating room specialist nurse certificate (municipal level and above) has been obtained, whether the person has participated in study abroad or further training (a total of ≥ 1 week), whether he has participated in teaching, scientific research and other activities, whether he has a personal career plan, work pressure, etc.
Competency Inventory for Registered Nurses(CIRN)
The Competency Inventory for Registered Nurses (CIRN) was adapted by scholars including Ming Liu[22] from Macau based on the “Core Competency Framework for Registered Nurses” proposed by the International Council of Nurses (ICN). This scale serves as a core competency assessment tool for registered nurses. Although not specifically designed for operating room (OR) specialty nurses, it possesses excellent reliability and validity, making it the most widely used tool for surveying the core competencies of operating room nurses[23]. The scale comprises seven dimensions: Critical Thinking/Research Competence (10 items), Clinical Care (10 items), Educational Counseling (8 items), Legal/Ethical Practice (8 items), Professional Development (6 items), Interpersonal Relationships (8 items), and Leadership (7 items). It consists of 58 items in total, using a 5-point Likert scale.From 0 to 4 respectively. Higher scores indicate stronger core competencies in nursing. The overall Cronbach's α coefficient for the scale was 0.89. In this study, the overall Cronbach's α coefficient for the scale was 0.986.
Nurse Job Remodeling Scale(N-RS)
Nurse Job Remodeling Scale was developed by Dvorak[24] in 2014 and adapted for Chinese use by Chinese scholar Zhu Shixiao[25]. It comprises three dimensions: Cognitive Redesign (7 items), Relational Redesign (7 items), and Task Redesign (7 items), totaling 21 items. The scale employs a 5-point Likert scale ranging from “Strongly Disagree” (1 point) to “Strongly Agree” (5 points). The total score ranges from 21 to 105 points, with higher scores indicating greater levels of work reshaping among nurses. The scale's Cronbach's α coefficient is 0.92. In this study, the overall Cronbach's α coefficient for the scale was 0.959.
Data collection
A
The data of this study were collected via Wenjuanxing (https://www.wjx.cn). Participants were informed of the purpose of the study, their participation was voluntary and anonymous, and they could withdraw at any time. Prior to the survey, the researchers obtained consent from operating room administrators of 13 tertiary hospitals in Southwest China.
A
To ensure accessibility, the researchers created a Quick Response (QR) code, which was distributed to the respondents through the WeChat application, with a request to complete and submit the questionnaire within 7 days.The first page of the questionnaire contained standardized instructions explaining the research purpose, significance, and notes for completion, emphasizing the principles of voluntariness, anonymity, and informed consent. Once designed, the questionnaire could be completed only once per Internet Protocol (IP) address. Questions were presented in a page-turning format, and the completion time ranged from 5 to 10 minutes. Respondents could submit the questionnaire after answering all questions. However, if they encountered any questions they preferred not to answer, they could withdraw from the survey at any time without submission. The survey was terminated when no new data were generated for 1 consecutive week.Two researchers verified the quality of the completed questionnaires one by one, excluding invalid responses with obvious patterned answers and those completed in less than 2 minutes. A total of 354 questionnaires were retrieved. After excluding 19 invalid questionnaires (due to patterned responses, obvious logical inconsistencies, or completion time < 2 minutes), 334 valid questionnaires remained, resulting in an effective recovery rate of 94.35%.
Statistical methods
Latent profile analysis (LPA) of operating room nurses' core competence was conducted using MPlus 8.3 software. Starting from the single-class model, the number of classes was gradually increased, and the model fit was evaluated based on fit indices. The evaluation indices included: (1) Information indices: Akaike information criterion (AIC), Bayesian information criterion (BIC), and adjusted Bayesian information criterion (aBIC). Smaller values of these fit indices indicate better model fit. (2)Classification index: Entropy was used to assess the classification accuracy of the model. An entropy value ≥ 0.8 and closer to 1 suggests higher credibility of the latent profiles[26]. (3) Likelihood ratio test: The bootstrap likelihood ratio test (BLRT) with a significant P-value (P < 0.05) indicates that the model with K profiles is superior to the model with K-1 profiles[27].
Data analysis was performed using SPSS 26.0 software. Categorical data were presented as frequency and (%), and descriptive analysis was conducted using the Chi-square test or Fisher's exact probability test. Continuous data were presented as (x̄ ± s). Logistic regression analysis was used to identify the influencing factors of latent classes of core competence. Pearson correlation analysis was used to explore the relationship between core competence and nurse job remodeling. A mixed regression model with a continuous dependent variable was established to analyze the impact of different latent classes of core competence on the job remodeling level of operating room nurses. The significance level was set at α = 0.05.
Results
Participant characteristics
A total of 334 operating room nurses were surveyed in this study, including 51 males (15.3%) and 283 females (84.7%). Age 21 ~ 59 (34.6 ± 7.65) years old. Table 1 shows the demographic characteristics of the sample population and the results of the univariate models. The CIRN and N-RS scores are presented in Table 2. This study revealed that the total core competency score for operating room nurses in Southwest China was 173.15 ± 28.90. Notably, the highest-scoring dimension was Legal/Ethical Practice (30.27 ± 5.73), while Critical Thinking/Research Competency scored the lowest (18.43 ± 3.46).
Table 1
Participant characteristics (N = 334)
Item
Total(n = 334)
Basic Group(n = 34)
Advanced Group(n = 211)
Professional Group(n = 89)
/F value
P value
Gender [n(%)]
       
7.2291)
0.027
Male
51(15.3)
5(14.7)
40(19.0)
6(6.7)
Female
283(84.7)
29(85.3)
171(81.0)
83(93.3)
Age Group [n(%)]
       
17.2721)
0.008
≤ 30
106(31.7)
13(38.2)
78(37.0)
15(16.9)
31–40
158(47.3)
15(44.1)
95(45.0)
48(53.9)
41–50
57(17.1)
3(8.8)
32(15.2)
22(24.7)
≥ 51
13(3.9)
3(8.8)
6(2.8)
4(4.5)
Marital Status [n(%)]
       
1.9861)
0.37
Married
243(72.8)
26(76.5)
148(70.1)
69(77.5)
Unmarried
91(27.2)
8(23.5)
63(29.9)
20(22.5)
Employment Type [n(%)]
       
2.8761)
0.542*
Permanent Staff
69(20.7)
5(14.7)
42(19.9)
22(24.7)
Contract Staff
261(78.1)
29(85.3)
165(78.2)
67(75.3)
Others
4(1.2)
/
4(1.9)
/
Educational Background [n(%)]
       
14.4231)
0.004*
College or Below
53(15.9)
10(29.4)
31(14.7)
12(13.5)
Bachelor's Degree
271(81.1)
20(58.8)
177(83.9)
74(83.1)
Master's Degree or Above
10(3.0)
4(11.8)
3(1.4)
3(3.4)
Work Experience [n(%)]
       
16.2551)
0.039
≤ 5 Years
98(29.3)
15(44.1)
64(30.3)
19(21.3)
6–10 Years
71(21.3)
2(5.9)
48(22.7)
21(23.6)
11-15Years
78(23.4)
5(14.7)
51(24.2)
22(24.7)
16-20Years
36(10.8)
7(20.6)
16(7.6)
13(14.6)
≥ 20Years
51(15.3)
5(14.7)
32(15.2)
14(15.7)
Technical Title [n(%)]
       
13.8031)
0.032
Nurse
60(18.0)
6(17.6)
48(22.7)
6(6.7)
Senior Nurse
94(28.1)
9(26.5)
58(27.5)
27(30.3)
Charge Nurse
144(43.1)
17(50.0)
80(37.9)
47(52.8)
Associate Chief Nurse/Chief Nurse
36 (10.8)
2(5.9)
25 (11.8)
9(10.1)
Administrative Position [n(%)]
       
13.4531)
0.036
Staff Nurse
179(53.6)
26(76.5)
100(47.4)
53(59.6)
Preceptor
65(19.5)
2(5.9)
49(23.2)
14(15.7)
Responsible Team Leader
57(17.1)
4(11.8)
41(19.4)
12(13.5)
Head Nurse or Above
33(9.9)
2(5.9)
21(10.0)
10(11.2)
Obtained Operating Room Specialist Nurse Certification[n(%)]
       
6.8181)
0.033
No
195(58.4)
24(11.4)
112(33.5)
59(67.0)
Yes
139(41.6)
10(4.7)
99(29.6)
30(33.7)
Overseas Study or Further Education [n(%)]
       
0.2961)
0.863
No
170(50.9)
18(52.9)
105(49.8)
47(52.8)
Yes
164(49.1)
16(47.1)
106(50.2)
42(47.2)
Participated in Teaching/Research Activities [n(%)]
       
2.5421)
0.281
No
136(40.7)
14(41.2)
92(43.6)
30(33.7)
Yes
198(59.3)
20(58.8)
119(56.4)
59(66.3)
Personal Career Plan [n(%)]
       
2.0091)
0.366
No
90(26.9)
9(26.5)
52(24.6)
29(32.6)
Yes
244(73.1)
25(73.5)
159(75.4)
60(67.4)
Work Pressure [n(%)]
       
9.8291)
0.043
Moderate
151(45.2)
22(64.7)
85(40.3)
44(49.4)
High
146(43.7)
11(32.4)
97(46.0)
38(42.7)
Extremely High
37(11.1)
1(2.9)
29(13.7)
7(7.9)
Total Job Remodeling Score (Mean ± SD)
81.66 ± 12.83
79.53 ± 12.70
80.59 ± 13.34
85.01 ± 13.34
4.3282)
0.014
Cognitive Remodeling Score (Mean ± SD)
28.16 ± 4.30
27.44 ± 4.34
27.83 ± 4.30
29.21 ± 3.79
3.8242)
0.023
Task Remodeling Score (Mean ± SD)
26.43 ± 5.20
25.79 ± 5.75
26.02 ± 5.33
27.64 ± 4.46
3.4002)
0.035
Relational Remodeling Score (Mean ± SD)
27.07 ± 4.72
26.29 ± 5.27
26.73 ± 4.84
28.16 ± 4.05
4.3282)
0.014
Notes: ¹) Chi-square test; ²) F value; * Fisher's exact test
Table 2
The score of CIRN and N-RS (N = 334)
Items
Total score (
±S)
Average score (
±S)
Core Competence Score
173.15 ± 28.90
3.69 ± 0.14
Critical Thinking/Research Ability
18.43 ± 3.46
2.87 ± 0.56
Clinical Nursing
27.21 ± 4.96
3.02 ± 0.55
Leadership
26.00 ± 4.53
3.03 ± 0.57
Interpersonal Relationship
25.07 ± 4.32
3.13 ± 0.54
Legal/Ethical Practice
30.27 ± 5.73
3.25 ± 0.57
Professional Development
28.75 ± 5.62
3.07 ± 0.58
Educational Consultation
21.43 ± 4.11
3.06 ± 0.58
Total Job remodeling Score
81.12 ± 13.33
3.86 ± 0.35
Relational remodeling
26.77 ± 4.83
3.82 ± 0.39
Task remodeling
26.08 ± 5.35
3.73 ± 0.36
Cognitive remodeling
28.27 ± 4.24
4.04 ± 0.32
Latent profile analysis and naming of Core Competencies among Operating Room Nurses
In the latent profile analysis, this study employed the seven dimensions of the Operating Room Nurse Core Competency Scale as manifest indicators, fitting a total of 2 to 5 models. The model fitting results are presented in Table 3. Three models were selected as the optimal number of categories for the following reasons: (1) Lower AIC, BIC, and aBIC values indicate better model fit for Model 3; (2) Both LMR and BLRT tests were statistically significant (P < 0.05), demonstrating classification significance; (3) The corresponding model entropy value was 0.962, exceeding 0.80, indicating approximately 90% classification accuracy; (4) The average membership probabilities for the three-category profile are 99.3%, 97.0%, and 97.0%, respectively, all exceeding 85%, indicating high discriminative power. (5) The minimum profile share for the 4- and 5-category models was less than 5%, making them unsuitable as standalone profiles. Based on the above analysis and the practical significance of model classification, Model 3 was selected as the optimal model. Subsequently, each latent category was named according to its manifest characteristics across the seven dimensions of core competencies, as shown in Fig. 1. The three categories in Model 3 were named “Basic Group,” “Advanced Group,” and “Professional Group.”
Table 3
Indexes for fitting the model of LPA in Core Competencies (N = 334)
Model
AIC
BIC
aBIC
LMRT
BLRT
Entropy
Category probability
1
13804.772
13858.128
13813.719
2
12731.689
12815.534
12745.748
<0.001
<0.001
0.960
0.719/0.281
3
12097.748
12212.082
12116.919
0.015
<0.001
0.962
0.629/0.105/0.267
4
11790.763
11935.587
11815.047
0.095
<0.001
0.968
0.003/0.617/0.120/0.260
5
11561.097
11736.410
11590.494
0.402
<0.001
0.963
0.003/0.117/0.590/0.159/0.132
Fig. 1
The latent profiles of Core Competencies for Operating Room Nurses
Click here to Correct
Univariate analysis of latent profiles of Core Competencies among Operating Room Nurses
Table 1 presents the univariate analysis of demographic data and comparisons among operating room nurses with different categories of latent core competencies. Results indicate statistically significant differences (P < 0.05) in gender, age, educational attainment, years of service, technical title, administrative role, operation room specialized nursing certification status, work stress, Job Remodeling, and scores across the three dimensions. Please refer to Table 1.
Multifactorial logistic regression analysis of latent profiles
Using the three latent dimensions of core competencies for operating room nurses as dependent variables (C1= “Advanced Group”, C2= “Basic Group”, C3= “Professional Group”), statistically significant variables were incorporated as independent variables. with job remodeling
scores entered as raw totals. Comparison between C1 (Advanced Group) and C2 (Basic Group): Multivariate analysis indicates that educational level is significantly correlated with whether one belongs to the basic group (compared to the advanced group). Specifically, nurses with a diploma or below (OR = 0.096, P = 0.033) and those with a bachelor's degree (OR 0.003, P = 0.003) are less likely to be classified into the basic group (C2) compared to the advanced group; in other words, those with these educational qualifications are relatively more likely to be in the advanced group (C1), while those with a master's degree or above are more likely to be in the basic group. Please refer to Table 4.
Table 4
Ordinal logistic regression analysis of factors influencing Core Competencies across different latent classes among Operating Room Nurse(n = 334)
Variable
B value
Standard error
Waldsχ2值
P value
OR(95%CI)
C1:C3
2.464
0.979
6.341
<0.05
 
Work Experience(16–20 Years)
-1.007
0.456
4.881
0.027
0.365(0.150 ~ 0.893)
Technical Title(Senior Nurse)
-1.171
0.489
5.722
0.017
0.310(0.119 ~ 0.809)
Technical Title(Charge Nurse)
-1.412
0.475
8.844
0.003
0.244(0.196 ~ 0.618)
Technical Title(Associate Chief Nurse/Chief Nurse)
-1.962
0.553
12.594
<0.001
0.141(0.048 ~ 0.416)
C2:C3
-4.772
1.536
9.659
<0.05
 
Work Experience(6-10year)
-2.115
0.817
6.707
0.010
0.121(0.024 ~ 0.598)
Work Experience(11-15year)
-1.245
0.604
4.251
0.039
0.288(0.088 ~ 0.940)
Educational Background(Master's Degree or Above)
-2.726
1.051
6.731
0.009
0.065(0.008 ~ 0.513)
Technical Title(Associate Chief Nurse/Chief Nurse)
-2.079
0.946
4.827
0.028
0.125(0.020 ~ 0.799)
C1:C2
-9.389
4.035
5.416
<0.05
 
Educational Background(Associate Chief Nurse/Chief Nurse)
-3.172
1.047
9.176
0.002
0.042(0.005 ~ 0.326)
Work Experience(6-10year)
-1.720
0.777
4.946
0.026
0.178(0.039 ~ 0.815)
Administrative Position(Preceptor)
-1.729
0.758
5.209
0.022
0.177(0.040 ~ 0.783)
Work Pressure(high)
0.825
0.398
4.298
0.038
2.282(1.046 ~ 4.980)
Note: C1:Advanced Group; C2:Basic Group; C3:Professional Group; ①:With C3 as the reference, ②:With C1 as the reference
C3 (Specialist Group) Compared with C1 (advanced group, reference group: C1): After controlling for other covariates, the comparison conducted with the advanced group as the reference revealed several significant protective and risk factors: junior nurses (OR = 0.093, P = 0.004) and chief nurses (OR = 0.255, P = 0.038) significantly reduced the probability of being classified into the professional group. On the contrary, nurses with the title of "deputy chief nurse/ chief nurse" in the operating room were more likely to be classified into the professional group compared to the advanced group. This indicates that the technical title has a strong protective effect on maintaining or enhancing clinical competence. However, it is worth noting that higher working years (≥ 20 years) significantly reduced the probability of being classified into the professional group. Specifically, nurses with less than 5 years of experience (OR = 8.685, P = 0.014), 6–11 years (OR = 4.451, P = 0.046), and 16–20 years (OR = 4.341, P = 0.038) were more likely to be classified into the professional group (C3) rather than the advanced group (C1) compared to nurses with long-term (≥ 20 years) clinical experience. These findings indicate that working years and professional titles have independent effects on category classification. Please refer to Table 4.
Correlation among CIRN and N-RS
Pearson correlation analysis was employed to evaluate the relationships between the dimensions of core competencies for operating room nurses and the dimensions of job remodeling (see Table 5). Results indicated a strong positive correlation between the total core competency score and the total job remodeling score (r = 0.826, P < 0.01). Each dimension of core competencies showed significant positive correlations with all three dimensions of job remodeling (cognitive remodeling, relational remodeling, and task remodeling), with correlation coefficients ranging from moderate to strong. Taking the total core competency score as an example, the correlation coefficients with cognitive, relational remodeling, and task remodeling were r = 0.719, r = 0.742, and r = 0.769 (all P < 0.01), respectively. This indicates that higher core competencies correlate with higher levels of job remodeling among nurses.
Table 5
Correlation Between Core Competencies of Operating Room Nurses and job remodeling (r Values)
Items
Cognitive remodeling
Relational remodeling
Task remodeling
Job remodeling Score
Core Competence Score
0.509**
0.569**
0.609**
0.627**
Critical Thinking/Research Ability
0.586**
0.546**
0.576**
0.631**
Clinical Nursing
0.592**
0.530**
0.546**
0.614**
Leadership
0.569**
0.520**
0.541**
0.601**
Interpersonal Relationship
0.556**
0.486**
0.471**
0.556**
Legal/Ethical Practice
0.561**
0.555**
0.593**
0.632**
Professional Development
0.576**
0.524**
0.601**
0.629**
Educational Consultation
0.719**
0.742**
0.769**
0.826**
(r Values)
A one-way ANOVA was conducted to compare the total job remodeling scores and scores across dimensions among the three nurse groups categorized by latent profiles (Advanced Group C1, Basic Group C2, Professional Group C3). The ANOVA results revealed significant differences in cognitive remodeling (F = 3.824, P = 0.023), relational remodeling (F = 4.328, P = 0.014), task remodeling (F = 3.400, P = 0.035), and total job remodeling scores (F = 4.328, P = 0.014) differed significantly across groups (see Table 6). Post hoc pairwise comparisons revealed a gradient pattern of intergroup differences: the professional group (C3) scored significantly higher than both the advanced group (C1) and the basic group (C2) on the total job remodeling score and all three dimensions. Overall, a “C3 > C1 > C2” gradient relationship emerged across the three categories, indicating a positive correlation between core competency characteristics and job remodeling levels, with hierarchical differences present.
Table 6
Differences in Total Work Redesign Scores and Dimension Scores Among Operating Room Nurses Across Different Core Competency Categories (n = 334)
Items
Basic Group(C2)
Advanced Group(C1)
Professional Group(C3)
F
P
Cognitive remodeling
27.44 ± 4.34
27.83 ± 4.30
29.21 ± 3.79①②
3.824
0.023
Relational remodeling
26.29 ± 5.27
26.73 ± 4.84
28.16 ± 4.05①②
4.328
0.014
Task remodeling
25.79 ± 5.75
26.02 ± 5.33
27.64 ± 4.46①②
3.400
0.035
Job remodeling Score
79.53 ± 12.70
80.59 ± 13.34
85.01 ± 13.34①②
4.328
0.014
Note: Compared with the basic group (C2), ① P < 0.05; compared with the advanced group (C1), ② P < 0.05.
Discussion
Current Status of Core Competencies for Operating Room Nurses
Nurse core competencies are important competencies necessary for nurses. They are also the comprehensive capabilities that nurses must possess to identify educational needs, ensure quality assurance, and conduct workforce planning and human resource management[28]. As one of the more special departments in the hospital, The core competency of nurses is the important indicators that reflects the professionalism of operating room nurses[29, 30]. This study is based on the questionnaire data of 334 operating room nurses from 13 tertiary hospitals in the southwest region. The results show that the overall core competencies of nurses are at an upper-middle level, which is consistent with research by domestic scholars such as Cheng Lixin. It shows that the core competencies of operating room nurses in southwest region are strong. However, the dimensions of core competencies are significantly uneven: the legal/ethical practice and professional development dimensions have the highest scores, consistent with reports by scholars such as Huang Qianyu[31]. in recent years, as my country's nursing practice supervision and medical legal systems have become increasingly improved, legal/ethical related knowledge has become compulsory and often emphasized. Hospital managers have also regularly strengthened nurses' legal awareness and compliance practices through standardized institutional processes and case discussions. In addition, the emergence of new information media such as artificial intelligence has also improved the accessibility of legal knowledge to operating room nurses[32, 33]. This improves the score of this dimension. Secondly, the relatively high scores in professional development may reflect clear pathways for job qualifications, specialty certification, and career advancement within operating room practice. These external incentives motivate nurses to engage in continuing education and professional capacity building, thereby enhancing indicators related to professional development. In contrast, lower scores in critical thinking/research capabilities align with findings reported by Morrison[34] scholars. This competency represents advanced cognitive and academic skills requiring systematic curriculum design, research methodology training, and sustained practice with reflection[35]. However, current nursing education and hospital-based training predominantly emphasize skill acquisition and standardized procedures, with insufficient systematic cultivation of this capability. On one hand, the operating room environment demands rapid work pace, immediate task execution, and high stress levels. On the other hand, many frontline clinical nurses lack formal research training, resulting in insufficient mastery of research knowledge and methodologies[36]. Even for those who have received basic research methodology training, translating theoretical approaches to address specific operating room challenges remains challenging, further diminishing nurses' confidence in their research capabilities. Research capabilities are closely linked to critical thinking skills. A study of nursing undergraduates revealed a positive correlation between their critical thinking scores and overall research competency scores[37]. This suggests that nursing administrators could implement problem-based learning through courses such as case discussions and simulated emergency decision-making drills to foster a virtuous cycle between critical thinking and research capabilities[38].
This study divided the core competencies of operating room nurses into three types, namely basic group, advanced group, and professional group, indicating that there is group heterogeneity in the core competencies of operating room nurses. Among them, the basic group accounts for 10.2%. This category of nurses lacks work experience and faces various challenges such as transformation impact and work pressure[39]. Their knowledge and skills are insufficiently prepared and their psychological quality is biased. It is recommended that nursing managers give priority to providing basic skills and psychological support to new nurses, implement the strategy of "paired teaching and protective learning time" to reduce workload, and at the same time set short-term achievable ability goals to enhance the sense of achievement[40, 41]. Nurses in the advanced group account for 63.2%. Most of these nurses hold administrative positions in the department and often participate in hospital management, teaching and quality improvement work. Most of these nurses have experience studying abroad. Through out-of-hospital further education and special training, these nurses can be exposed to advanced surgical nursing standards and management concepts, The knowledge, skills and professional abilities related to operating room nursing have been improved[42]. this type of nurses has a high level of job remodeling, and nurses can learn more proactively, take responsibility and optimize nursing practices, thereby transforming the potential given by the platform and training into their own core competencies. The proportion of nurses in the professional group is 26.7%. This type of nurses mainly has high seniority and holds a specialist nurse certificate in the operating room. They show strong clinical practice ability and professional literacy. Their long-term accumulated clinical experience enables them to have a high degree of proficiency and judgment in key aspects such as operating room work. They have high investment in work, and high work investment is closely related to the core competencies of nurses[43].
Factors Influencing the Core Competencies of Operating Room Nurses and Strategies for Enhancement
This study identified individual heterogeneity in the core competencies of operating room nurses through LPA analysis. The findings established three distinct profiles of core competencies and further investigated influencing factors, with particular focus on educational attainment, technical professional title, and years of experience.
The research revealed that nurses with educational levels below bachelor's degree exhibited a significantly lower likelihood of belonging to the foundational group, though the difference was not significant compared to the specialized group. Specifically, nurses with associate or bachelor's degrees were 0.096 and 0.003 times as likely to belong to the foundational group as those with master's degrees, with p-values of 0.033 and 0.003, respectively. Operating room nurses holding master's degrees or higher were more likely to fall into the foundational group, indicating that educational attainment significantly influences nursing core competencies. We hypothesize that structural biases within the educational system may underlie this phenomenon. While higher education provides nurses with robust theoretical foundations, research capabilities, and critical thinking skills, it cannot fully replace the long-term experience accumulated in complex clinical settings like operating rooms[4447]. Within China's nursing master's education system, particularly for academic-oriented master's programs, the primary objective has long been cultivating research talent. Curriculum design and training programs emphasize theoretical research, while training and assessment standards for clinical practice skills remain relatively vague or inadequate[48]. Even for the Master of Nursing Science (MNS) program, designed to cultivate clinical specialists, its clinical practice training model remains in an ongoing phase of exploration and refinement[49]. A large-scale survey of 670 master's-level clinical nurses nationwide conducted in 2018–2019 explicitly indicated that while the core competencies of China's master's-level clinical nurses are generally at a high level, their scores in the dimensions of “clinical nursing practice ability” and “consultation and guidance ability” were relatively low[50]. Second, the “transition shock” and ambiguous role positioning further exacerbate this issue. Undergraduate and associate degree graduates follow relatively direct career paths, enabling them to enter a specialized field earlier. Through 2–3 years of clinical rotations and deep immersion, they establish solid clinical experience and skill systems. In contrast, most nursing master's students in China are recent bachelor's graduates who choose to pursue further education. Entering the master's degree phase, they inherently lack the clinical experience of their associate or bachelor's counterparts. When they discover their “clinical skills” fall short of even some experienced associate or bachelor's nurses, a significant psychological gap and sense of professional crisis emerge[39, 51, 52]. Compounding this, hospital administrators may fail to clearly define their roles or manage expectations appropriately, instead viewing them as “jack-of-all-trades” professionals. Assigning them heavy clinical, research, teaching, and even administrative responsibilities forces them to juggle multiple roles, preventing mastery in any single area and consequently undermining the depth and proficiency of their clinical practice. The solution lies in establishing a differentiated, integrated system for talent development and utilization. The education sector should deepen reforms in nursing master's programs, particularly professional degree programs, strengthening clinical practice training and establishing scientifically designed curricula and assessment standards closely aligned with clinical job requirements. Second, nursing administrators should engage in reasonable role positioning and expectation management for master's-level nurses, focusing on their clinical adaptation period. This involves providing more practice-oriented pre-service or on-the-job support to mitigate short-term “fundamentalization” resulting from role transitions, thereby facilitating a smooth transition phase. Third, healthcare institutions must avoid simplistic assumptions based solely on academic credentials when designing staffing and career development pathways. Instead, personalized development plans should be tailored to both positional requirements and individual career trajectories.
This study also examined the potential impact of the influencing factor "technical title". The title of a nurse is an important indicator for predicting their classification into different core competence categories. Compared with the "basic group" and the "advanced group", nurses with the title of "deputy chief nurse and above" have a higher probability of being classified into the "professional group" than those with the title of "senior nurse". This result strongly demonstrates the positive correlation between technical title and core competence category, that is, the higher the title, the more likely the nurse's core competence tends to reach the expert level. This is consistent with the results of researchers such as Chen Xia[23]. As a core step in the career development of nursing, technical title is the result of the continuous accumulation and systematization of professional knowledge, clinical experience and practical ability in the career of nurses. In the current nursing technical title evaluation system in China, from senior nurse to chief nurse, and then to deputy chief nurse and chief nurse, not only are there clear requirements for working years, but more importantly, they need to pass strict examination and/or review standards at each stage[53]. The research results clearly reveal a significant and robust positive relationship between the technical title of operating room nurses and their potential core competence categories. Future nursing management should pay more attention to precise training based on technical title and ability stratification. For the largest proportion of senior and chief nurses, the training focus should be on consolidating the foundation, while for nurses with senior titles, training should expand to higher-level abilities and regular assessments should be conducted. This precise investment can not only effectively improve training efficiency, but also promote the rational utilization of human resources and provide a clear upward channel for the career development of nurses.
The length of working experience also has a notable non-linear relationship with core competence. Specifically, compared with nurses with long-term working experience (≥ 20 years), nurses with working experience in different intervals (< 5 years, 6–11 years, 16–20 years) are more likely to be classified as the "professional group" (OR values are 2.162, 1.493, and 1.468 respectively, all P values < 0.05). This result indicates that the middle and short-term experience group is more likely to enter the professional group, while long-term workers (≥ 20 years) are less likely to be in the professional group. Stephen PR's career development theory suggests that after the individual's career reaches maturity, they will enter the career decline stage[54]. We speculate that skill solidification and occupational burnout are important factors affecting the core competence of senior nurses. These nurses, due to their relatively long career spans, are prone to experiencing a decline in physical condition, occupational burnout, and possibly developing a relatively fixed work pattern and thinking habits[5557]. The operating room is different from other departments. With the rapid development of modern surgical techniques, the working patterns of operating room nurses have undergone fundamental changes, which makes it difficult for them to adapt to the rapidly developing surgical techniques and concepts[58, 59]. During the initial and middle stages of entry (especially within 5–20 years), nurses are at the peak of technical accumulation and ability improvement. They frequently participate in clinical tasks and continuing education, and can quickly master and demonstrate professional skills, thus being more likely to be classified as the professional group[60]. Additionally, differences in the era and educational background can also explain this phenomenon. Different age groups have certain differences in the education system and training opportunities. Nurses who received education within the past two decades may have been exposed to more modern nursing techniques and evidence-based practice, thus having certain advantages in some professional ability indicators.
Correlation with Job Remodeling
The results of the correlation analysis show that the total score of core competencies and each dimension of operating room nurses are moderately to highly positively correlated with the total score and each dimension of job crafting. Among the three potential categories divided based on the scores of the seven dimensions of core competencies, the mean values of job crafting levels show a clear gradient distribution: professional group (C3) > advanced group (C1) > basic group (C2). This result initially indicates that nurses with stronger core competencies are more inclined to actively reshape their own tasks, relationships, and cognition to better adapt to personal needs and organizational goals. This conclusion is consistent with the positive correlation (r = 0.436, P < 0.01) found by Xue Limei et al. in respiratory nurses[18]. From the perspective of the Conservation of Resources Theory (COR), core competencies are valuable personal resources for nurses to cope with work challenges and maintain career development, which can enhance self-efficacy and psychological capital[6, 61, 62]. They not only buffer the loss caused by work pressure but also stimulate nurses' motivation and ability to engage in job crafting [24]. Research shows that job crafting can significantly enhance nurses' work engagement, job satisfaction, and reduce job burnout and turnover intention[63, 64]. Nurses with high levels of job crafting are better at optimizing the balance between "job demands and job resources"[65, 66]. For example, they can use their professional knowledge and influence to actively optimize surgical procedures (alter tasks), or establish more harmonious collaborative relationships with team members (alter relationships), or change their perception of repetitive work (alter cognition) to achieve the best match between themselves and their work, thereby creating more resource gains for the organization. Therefore, nursing managers should establish a hierarchical training and management system based on core competencies. For nurses in the "professional group" category, managers should provide more authorization and display platforms. For nurses in the "basic group" and "advanced group" categories, regular communication should be conducted to help them build confidence and jointly formulate personalized career development plans. In addition, managers should foster a team culture atmosphere of active communication and collaboration within the organization, encouraging nurses of all categories to communicate and provide feedback actively. Regular case discussion meetings and team-building activities should be organized to promote the sharing of experiences and emotional support among members. When nurses feel that their improvement suggestions are valued, their willingness and ability to engage in job crafting will also increase.
Limitations
Although this study provides valuable insights into the development of core competencies for operating room nurses, there are several limitations. First of all, this study only selected operating room nurses from tertiary-level hospitals in southwest China as the research subjects. The sample source is relatively concentrated and may not fully represent the characteristics of operating room nurses in different regions and hospitals of different levels. Secondly, the study is a cross-sectional study design, which can only reveal the correlation between the latent categories of core competencies of operating room nurses and job reshaping at a specific time point. It cannot clarify the causal relationship and dynamic evolution trend between the two, and does not fully consider possible mediating or moderating variables. Finally, research data are collected through self-report questionnaires, which may be affected by subjective factors such as social desirability bias and recall bias.
Conclusion
This study provides a new management perspective for nursing managers. Through latent profile analysis, the study identified three different categories of core competencies for operating room nurses: "Basic Group", "Advanced Group" and "Professional Group". It was further found that different types of core competencies will significantly affect the level of nurses' job reshaping. Nursing managers should focus on the impact of technical titles, education levels, and working years on nurses' core competencies. Based on the individual needs of different categories of nurses, targeted interventions are developed to enhance their core competencies and job reshaping levels, ultimately improving overall nursing quality and patient safety.
Acknowledgements
We are grateful to all the participants who agreed to participate in the study
and made this research possible.
A
Author Contribution
LD. conceptualized the study and wrote the original draft. LD, LQ and HRH were responsible for distributing questionnaires. YY. contributed to methodology and performed the formal analysis. LXY critically revised the manuscript for important intellectual content. All authors approved of the version of the article that was submitted for publication.
A
Funding
This study was not specifically funded by any public, commercial or non-profit sector funding agencies.
A
Data Availability
The datasets analyzed during the current study are available from thecorresponding author upon reasonable request.
Declarations
Ethics approval and consent to participate
A
This study adhered to the Declaration of Helsinki, ensuring that all participants were treated with respect and that their rights were protected throughout the study.Studies involving humans were approved by the Ethics Committee of Sichuan Cancer Hospital (No. 2024 − 301).
A
All participants participated voluntarily with informed consent.
A
The conduct of the study and the recording of results were in accordance with the recommendations of the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE). The survey was conducted anonymously to fully protect the privacy of respondents.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
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Note
**: P < 0.01
Total words in MS: 6586
Total words in Title: 17
Total words in Abstract: 294
Total Keyword count: 4
Total Images in MS: 1
Total Tables in MS: 6
Total Reference count: 66