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Association between obsessive-compulsive symptoms and job performance among hospital nurses: a cross-sectional study

  • Open Access
  • 09.01.2026
  • Research
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Abstract

Introduction

Obsessive-compulsive (OC) symptoms may influence occupational functioning, particularly in demanding healthcare environments. Understanding the extent to which these symptoms are associated with job performance is essential for supporting the well-being and productivity of hospital nurses. This study aimed to investigate the association between OC symptoms and their subdimensions with job performance among hospital nurses.

Methods

This descriptive-analytical cross-sectional study was conducted in 2024 among 340 nurses working in public hospitals in southern Iran. Participants were selected using stratified random sampling. Data were collected using a validated 39-item OC Symptom Scale and the 15-item Job Performance Questionnaire. Pearson correlation and multiple linear regression analyses were performed to assess the relationships and associative strength of OC symptoms in relation to job performance. Demographic variables were also analyzed using t-tests, ANOVA, and Pearson’s r.

Results

The mean total score of OC symptoms was 84.36 (SD = 15.72), indicating a moderate level. The mean job performance score was 27.84 (SD = 5.26), also within the moderate range. Pearson correlation analysis revealed a significant negative correlation between total OC symptoms and job performance (r = -0.42, p < 0.001). All eight subdimensions of OC symptoms showed significant negative correlations with job performance. A multiple linear regression analysis, adjusted for age, experience, education level, and employment type, indicated that OC symptoms were significantly associated with job performance (F(12, 327) = 12.09, p < 0.001), explaining 30.7% of the variance (Adjusted R² = 0.307), which represents a moderate explanatory power. The effect size, calculated using Cohen’s f², was 0.44, indicating a large effect. The most influential symptom domains showing significant negative associations were checking compulsions (β = -0.22, p < 0.001), impulsive thoughts of harm (β = -0.19, p < 0.001), and ordering compulsions (β = -0.17, p = 0.001). Age, experience, gender, education level, and type of employment also showed significant associations with the main variables (p < 0.05).

Conclusion

OC symptoms are significantly associated with reduced nurses’ job performance, highlighting the importance of mental health screening and targeted interventions within healthcare settings. Addressing these symptoms through preventive strategies and supportive policies may be linked to improved nurse performance and, in turn, patient care quality.

Clinical trial number

Not applicable.

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Introduction

In modern healthcare, nurses’ performance is crucial for patient safety and hospital efficiency [1]. Psychological factors, particularly obsessive-compulsive (OC) symptoms, characterized by intrusive thoughts and repetitive behaviors, can affect job performance in high-stress professions like nursing [2, 3]. These symptoms may impair cognitive functioning, emotional regulation, and interpersonal interactions, which are essential in demanding clinical settings [4].
Obsessive-Compulsive Disorder (OCD) is a chronic anxiety-related condition involving persistent thoughts and ritualistic behaviors [5]. Subclinical OC symptoms are also common in the general population and can affect daily functioning and occupational performance [6]. In hospital settings, even mild OC tendencies may influence nurses’ job performance, positively or negatively, due to demands on precision, time management, emotional resilience, and teamwork [7, 8].
Job performance is a multidimensional construct reflecting how well employees fulfill their responsibilities [9]. In nursing, it encompasses clinical competence, communication, adherence to safety protocols, decision-making under pressure, and emotional responsiveness [10]. Cognitive or emotional burdens, such as OC symptoms, can therefore affect performance outcomes [3].
Several studies indicate that mental health issues, including anxiety, depression, and burnout, can significantly reduce nurses’ productivity and job satisfaction [1113]. However, there is a paucity of empirical studies focusing specifically on the association between distinct OC symptom subdimensions, such as checking, ordering, and intrusive thoughts, and job performance within nursing populations. These subdimensions were selected because they may be theoretically and clinically relevant to occupational functioning in high-demand environments like hospitals. For instance, checking behaviors may lead to time-consuming rituals, ordering may affect task prioritization and workflow efficiency, and intrusive thoughts may impair concentration and decision-making [1416]. Focusing on these subdimensions allows for a more nuanced understanding of how specific OC tendencies could influence nurses’ cognitive, emotional, and interpersonal performance in professional settings.
Most available studies have either considered OCD in clinical terms or examined broader constructs like psychological distress without isolating these specific symptom categories in nurses. This lack of focused research represents a notable gap in the literature. While some traits associated with OC symptoms, such as attention to detail or perfectionism, might hypothetically enhance job performance in structured environments like hospitals, the maladaptive aspects of these symptoms, such as indecisiveness, doubt, and excessive checking, could hinder efficient task completion and interpersonal communication [14]. Therefore, the dual nature of OC symptoms, both adaptive and maladaptive, warrants empirical investigation within professional settings.
Moreover, nursing is exposed to stressors such as emotional labor, shift work, and constant patient responsibility [15], which can exacerbate OC symptoms and their impact on job performance [16, 17]. In regions with nurse shortages or high turnover, understanding psychological factors affecting performance is crucial for healthcare management.
This study addresses the research gap by examining how OC symptoms are associated with job performance among hospital nurses. Using a regression-based analytical approach, it aims to assess the direction and strength of this relationship while controlling for demographic and occupational factors. Findings may inform mental health screening, targeted interventions, and supportive workplace practices for nurses with OC symptoms.
This study is significant for several reasons. First, it focuses on a specific yet understudied psychological factor, OC symptoms, and examines its relevance to job performance, a critical outcome in occupational health research. Second, it targets a key professional group, hospital nurses, who serve as the backbone of healthcare systems and whose job performance directly affects patient safety and quality of care. Third, the study employs a quantitative method, regression analysis, to provide empirical evidence regarding the association of OC symptoms with job performance. By addressing these points, the research not only contributes to the literature on mental health in the workplace but also offers practical insights for interventions aimed at enhancing both nurse well-being and hospital performance.

Theoretical framework

This study is grounded in Cognitive-Behavioral Theory (CBT) and Occupational Health Psychology (OHP). CBT suggests that OC symptoms stem from maladaptive thoughts and behaviors, such as threat overestimation and perfectionism, which can impair decision-making, flexibility, and task prioritization, key skills for nursing performance [18, 19].
From an occupational psychology perspective, Job Demands-Resources (JD-R) Model can also be applied. OC symptoms may act as internal job demands that drain psychological resources, leading to reduced task efficiency and emotional exhaustion. Conversely, in some cases, traits like hyper-responsibility or orderliness (often associated with OC tendencies) might serve as personal resources enhancing task accuracy and attention to detail [20, 21]. The dynamic interplay between these aspects makes the relationship complex and context-dependent.
Therefore, this study hypothesizes that OC symptoms, especially when manifesting in maladaptive forms, are negatively associated with job performance among nurses. This theoretical lens allows for a nuanced interpretation of results and guides the development of the hypothesis.

Hypothesis development

Based on the literature review and theoretical considerations, the following hypothesis is proposed:
H1
OC symptoms are negatively associated with job performance among hospital nurses.
This hypothesis assumes that the cognitive and behavioral impairments associated with OC symptoms, such as time-consuming rituals, difficulty concentrating, and increased mental fatigue, interfere with the timely and efficient execution of nursing tasks. By empirically testing this hypothesis through regression analysis, the study aims to contribute to evidence-based strategies for supporting mental health in clinical workplaces.

Methods

Study design and setting

This descriptive-analytical, cross-sectional study was conducted in 2024 at ten teaching hospitals affiliated with Shiraz University of Medical Sciences, Iran. The hospitals involved in the study included Namazi, Shahid Chamran, Shahid Rajaee, Shahid Faghihi, Hazrat Ali Asghar, Zeinabiyeh, Khalili, Shahid Dastgheib, Ibn Sina, and Hafez. These centers serve as major hubs for both tertiary healthcare and clinical education, providing an appropriate environment for examining psychological and occupational factors affecting nurses’ performance.

Participants and sampling

The target population consisted of nurses working in clinical departments of the aforementioned hospitals. The sample size for this study was calculated based on the total population of nurses working in the educational hospitals affiliated with Shiraz University of Medical Sciences, which amounted to 2,943 individuals. To determine the required sample size, the formula for finite populations was used as follows:
$$n = \frac{{N \times {Z^2} \times p \times \left( {1 - p} \right)}}{{{d^2} \times \left( {N - 1} \right) + {Z^2} \times p \times \left( {1 - p} \right)}}$$
where represents the required sample size, is the total population size, is the Z-score corresponding to a 95% confidence level (1.96), is the estimated proportion of the attribute in the population (assumed as 0.5 for maximum variability), and is the desired margin of error (0.05). By substituting the values into the formula, the calculated sample size was approximately 307. To account for potential non-response or incomplete data, the final sample size was increased to 340 participants to ensure sufficient statistical power and representativeness. A proportional stratified random sampling method was employed. First, proportional allocation was used to determine the number of participants from each hospital based on the total number of nurses employed in that hospital. Then, within each hospital, further stratification was applied based on clinical departments (wards). Nurses were randomly selected from each ward using stratified random sampling, proportional to the number of nurses in each department. This multi-level stratification ensured that the sample was representative of the entire nursing population across different institutions and clinical settings.

Inclusion and exclusion criteria

Eligible participants were those holding an associate degree or higher in nursing, currently working in inpatient or critical care units, having at least one year of clinical experience, and expressing willingness to participate in the study. Participants were excluded if they submitted incomplete or missing responses in the questionnaire, or if they reported having a diagnosed mental or psychological disorder that could interfere with their job performance or the accuracy of their self-reported data. The presence of such conditions was determined based on participants’ self-disclosure in a preliminary screening question included at the beginning of the questionnaire.

Instruments

Data were collected using a three-part questionnaire. The first part included demographic information such as age, gender, marital status, Education Level, type of employment, years of professional experience.
The second part was the Persian version of the Padua Inventory (PI), as validated by Shams et al. for use in Iran [22]. This instrument consists of 39 items that assess OC symptoms across eight dimensions: contamination obsessions (6 items), washing compulsions (4 items), ordering compulsions (3 items), checking compulsions (10 items), obsessive thoughts of harm to self or others (5 items), obsessive thoughts of violence (2 items), impulsive thoughts of harm to self or others (7 items), and impulses to thieve (2 items). Each item is rated on a 5-point Likert scale ranging from 1 (“not at all”) to 5 (“very much”). The overall score indicates the severity of OC symptoms and is interpreted in three levels: low (less than 65), moderate (65 to less than 130), and high (130 and above) [22]. Shams et al. confirmed the factor structure of the Persian version through exploratory and confirmatory factor analyses, which supported the eight-dimensional structure of the scale. Convergent validity was demonstrated through significant correlations with other measures of anxiety and OC symptoms, while discriminant validity was supported by weaker associations with unrelated constructs [22]. This tool has demonstrated acceptable validity and reliability in Iranian studies. The reliability of this tool in the study by Shams et al. was confirmed with a Cronbach’s alpha of 0.92, and its validity was also approved within the same study conducted in Iran [22]. In the present study, the internal consistency of the Padua Inventory was confirmed with a Cronbach’s alpha of 0.91.
The third part of the questionnaire was the Patterson Job Performance Questionnaire, which evaluates nurses’ job performance through self-assessment. This instrument has been translated and used in multiple Iranian studies. It consists of 15 items rated on a 4-point Likert scale (rarely, sometimes, often, always), scored from 0 to 3. The total score ranges from 0 to 45. Scores less than 15 were considered poor, 15 to less than 30 as moderate, and 30 and above as good performance [23]. Ghanbari and Hemati reported that the instrument had a unidimensional factor structure, and both convergent and discriminant validity were confirmed against Job performance indicators and unrelated constructs, respectively [23]. The reliability of the instrument was confirmed in a study conducted by Ghanbari and Hemati, with a Cronbach’s alpha of 0.90. Its validity was also supported in their Iranian sample [23]. In the current sample, the Cronbach’s alpha for this scale was calculated at 0.88, indicating good internal consistency.

Procedures

The data collection process was carried out by the principal researcher (ARY) through on-site visits to each hospital on different weekdays and during all three work shifts: morning, evening, and night. This approach ensured broad participation from nurses working across various schedules. After explaining the study objectives, written informed consent was obtained from all participants prior to survey distribution. The researcher then distributed printed questionnaires to the selected nurses. The participants completed the surveys anonymously and returned them to the researcher either on the same day or the next working day. To maintain confidentiality, no identifying information was collected, and completed questionnaires were stored securely in a locked file accessible only to the research team. Participation was entirely voluntary, and confidentiality was strictly maintained.

Statistical analysis

All collected data were entered and analyzed using SPSS software version 26. Descriptive statistics such as means, standard deviations, frequencies, and percentages were calculated to summarize the demographic characteristics, job performance scores, and OC symptom levels.
For analytical statistics, Pearson correlation coefficients were used to assess the relationships between age and years of professional experience with both OC symptoms and job performance. Independent samples t-tests were performed to examine significant differences in the mean scores of the two main variables (OC symptoms and job performance) based on gender, marital status, and level of education. Additionally, one-way ANOVA was used to analyze differences in the mean scores of these two variables across different employment status groups.
The Pearson correlation between OC symptoms and job performance was calculated to determine the strength and direction of their relationship. Conducting correlation analysis prior to regression allowed for a preliminary evaluation of the linear association between the main study variables. To test the main hypothesis, multiple linear regression analysis was performed to examine the association between OC symptoms and job performance. The normality of continuous variables was evaluated using the Kolmogorov–Smirnov test, and additional diagnostic checks for multicollinearity and residual distribution were conducted to ensure the validity of the regression models. Statistical significance was set at a p-value of less than 0.05.

Results

Demographic characteristics of participants

A total of 400 nurses were invited to participate in the study. Among them, 365 agreed to participate, and after screening for completeness and eligibility, data from 340 nurses were included in the final analysis, reaching the predetermined sample size. The recruitment process continued until the desired sample size was achieved to ensure adequate statistical power and representativeness. The majority of participants were aged between 30 and 40 years (50.59%), female (77.65%), married (70%), held a bachelor’s degree in nursing (88.82%), were permanent employed (54.12%), and had between 5 and 15 years of professional experience (54.71%). Table 1 presents the detailed demographic characteristics of the nurses who participated in the study (Table 1).
Table 1
Demographic characteristics of participants (n = 340)
Variable
Category
Frequency (n)
Percentage (%)
Age
< 30
30–40
> 40
88
172
80
25.88
50.59
23.53
Work Experience
< 5
5–15
> 15
78
186
76
22.94
54.71
22.35
Gender
Male
Female
76
264
22.35
77.65
Employment Status
Permanent
Probationary
Project-based
Contractual
184
46
78
32
54.12
13.53
22.94
9.41
Education Level
Bachelor’s Degree
Master’s Degree
302
38
88.82
11.18
Marital Status
Single
Married
102
238
30
70

Descriptive statistics for OC symptoms and job performance

The results indicated that the mean total score of OC symptoms among the participating nurses was 84.36 (SD = 15.72), placing them within the moderate range of symptom severity. Regarding job performance, the mean score was 27.84 (SD = 5.26), reflecting a moderate level of performance, leaning toward the upper limit of the moderate range (Table 2).
Table 2
Descriptive statistics for OC symptoms and job performance
Variable
Item Count
Possible Score Range
Mean (M)
Standard Deviation (SD)
Obsessive-Compulsive Total Score
39
39–195
84.36
15.72
Contamination Obsessions
6
6–30
12.10
2.85
Washing Compulsions
4
4–20
8.24
1.92
Ordering Compulsions
3
3–15
6.20
1.44
Checking Compulsions
10
10–50
21.55
4.10
Obsessive Thoughts of Harm to Self/Others
5
5–25
9.35
2.10
Obsessive Thoughts of Violence
2
2–10
4.26
1.03
Impulsive Thoughts of Harm
7
7–35
14.12
2.94
Impulses to Thieve
2
2–10
3.54
1.15
Job Performance Total Score
15
0–45
27.84
5.26

Correlations between OC symptom dimensions and job performance

Pearson correlation analysis was performed to examine the relationships between OC symptoms (both total and subscale scores) and job performance among the nurses. The results showed that all dimensions of OC symptoms were significantly and negatively correlated with job performance. The strongest correlations were observed for checking compulsions (r = -0.36, p < 0.001), impulsive thoughts of harm to self or others (r = -0.33, p < 0.001), and ordering compulsions (r = -0.29, p < 0.001). The total OC score was also significantly and negatively correlated with job performance (r = -0.42, p < 0.001), indicating that higher OC tendencies were associated with lower performance levels (Table 3).
Table 3
Pearson correlations between OC symptom dimensions and job performance
Obsessive-Compulsive Dimensions
r*
(Correlation with Job performance)
p-value*
Contamination Obsessions
− 0.23
< 0.001
Washing Compulsions
− 0.20
< 0.001
Ordering Compulsions
− 0.29
< 0.001
Checking Compulsions
− 0.36
< 0.001
Obsessive Thoughts of Harm to Self/Others
− 0.21
< 0.001
Obsessive Thoughts of Violence
− 0.18
0.002
Impulsive Thoughts of Harm
− 0.33
< 0.001
Impulses to Thieve
− 0.19
< 0.001
Total Obsessive-Compulsive Score
− 0.42
< 0.001
* r; Pearson correlation coefficient, P-Value; Correlation is significant at the 0.05 level

Associations between demographic variables and study variables (OC symptoms and job performance)

The results revealed that age and years of professional experience were significantly correlated with both OC symptoms and job performance. Specifically, older and more experienced nurses reported lower OCD symptom scores (r = -0.26, p < 0.001; r = -0.22, p < 0.001) and higher job performance (r = 0.33, p < 0.001; r = 0.29, p < 0.001).Gender showed a significant difference in OCD symptoms (t = 2.38, p = 0.018), with female nurses scoring slightly higher, but was not significantly associated with job performance. Education level (bachelor’s vs. master’s) showed a significant difference in job performance (t = 2.11, p = 0.036), favoring those with a master’s degree, while no significant difference was observed in OCD symptoms. Marital status had no significant relationship with either outcome. Importantly, type of employment was significantly associated with both OCD symptoms and job performance (F = 5.21, p = 0.002; F = 6.87, p < 0.001), with permanently employed nurses reporting lower OCD and higher job performance (Table 4).
Table 4
Associations between demographic variables and study variables (OC symptoms and job performance)
Demographic Variable
Test Used
OCD*
p-value
Job Performance
p-value
Interpretation
Age
Pearson r
r**= -0.26, p**< 0.001
r= 0.33, p < 0.001
Older age → ↓OCD, ↑Performance
Gender
t-test
t= 2.38, p= 0.018
t**= 1.21, p= 0.227
Females → slightly ↑OCD
Marital Status
t-test
t= 1.45, p= 0.149
t= 1.68, p= 0.094
NS (Not Significant)
Educational Level
t-test
t= 1.62, p= 0.106
t= 2.11, p= 0.036
Master’s → ↑Job Performance
Employment Status
One-way ANOVA
F= 5.21, p= 0.002
F**= 6.87, p < 0.001
Permanent → ↓OCD, ↑Performance
Work experience
Pearson r
r= -0.22, p < 0.001
r= 0.29, p < 0.001
More experience → ↓OCD, ↑Performance
* OCD; Obsessive-Compulsive Disorder
** r; Pearson correlation coefficient, t = t-test statistic, F = F-test statistic (ANOVA), P-Value; Correlation is significant at the 0.05 level

Multiple linear regression analysis of the association between OC symptom dimensions and job performance

A multiple linear regression analysis was conducted to investigate the association strength of OC symptom dimensions with job performance.
Based on the observed associations in Table 4, the model was run controlling for age, work experience, education level, and employment type, demographic variables significantly related to both OC symptoms and job performance. The adjusted model was statistically significant (F(12, 327) = 12.09, p < 0.001), explaining 30.7% of the variance in job performance, indicating moderate explanatory power (Adjusted R² = 0.307). The effect size based on Cohen’s f² was 0.44, indicating a large effect. All eight OCD symptom dimensions remained significant associative factors, with checking compulsions (β = -0.22, p < 0.001), impulsive thoughts of harm (β = -0.19, p < 0.001), and ordering compulsions (β = -0.17, p = 0.001) showing the strongest negative associations. Among the covariates, age, experience, education, and employment type were also significantly associated with job performance. To assess multicollinearity, Variance Inflation Factor (VIF) values for all predictors ranged from 1.18 to 1.60, and tolerance values ranged from 0.63 to 0.85, indicating no evidence of problematic multicollinearity. Residual diagnostics were performed to ensure model assumptions were met. Q–Q plots of standardized residuals indicated approximate normality. The Breusch-Pagan test was used to assess heteroscedasticity, yielding a non-significant result (p = 0.28), suggesting homoscedasticity. Cook’s distance values for all cases were below the recommended threshold of 1, indicating no influential outliers affecting the regression results. These findings highlight the detrimental association between OC symptoms and nurses’ job performance without implying causality (Table 5).
Table 5
Multiple linear regression analysis of the association between OC symptom dimensions and job Performance *
Associated Variable
B
SE
β (Beta)
t
p-value
95% CI for B
VIF
Contamination Obsessions
− 0.19
0.06
− 0.15
− 3.16
< 0.001
[-0.31, -0.07]
1.58
Washing Compulsions
− 0.16
0.07
− 0.13
− 2.40
0.017
[-0.29, -0.03]
1.47
Ordering Compulsions
− 0.28
0.08
− 0.17
− 3.35
0.001
[-0.44, -0.12]
1.34
Checking Compulsions
− 0.32
0.08
− 0.22
− 4.21
< 0.001
[-0.48, -0.17]
1.60
Obsessive Thoughts of Harm to Self/Others
− 0.21
0.07
− 0.14
− 3.01
0.003
[-0.35, -0.07]
1.51
Obsessive Thoughts of Violence
− 0.17
0.08
− 0.11
− 2.12
0.035
[-0.33, -0.01]
1.36
Impulsive Thoughts of Harm
− 0.30
0.09
− 0.19
− 3.59
< 0.001
[-0.46, -0.14]
1.57
Impulses to Thieve
− 0.19
0.08
− 0.12
− 2.36
0.019
[-0.35, -0.03]
1.32
Age
0.10
0.04
0.16
3.47
0.001
[0.04, 0.16]
1.27
Work Experience
0.08
0.03
0.14
3.00
0.003
[0.03, 0.13]
1.30
Education
0.87
0.35
0.12
2.49
0.013
[0.19, 1.55]
1.21
Employment Type
0.95
0.31
0.14
3.06
0.002
[0.34, 1.56]
1.18
* Model summary: R2 = 0.351, Adjusted R2 = 0.307, F (12,327) = 12.09, Effect Size (Cohen’s f²) = 0.44 (Large), p < 0.001

Discussion

This study aimed to investigate the association between OC symptoms and job performance among hospital nurses.
The results indicated that the nurses in this study experienced a moderate level of OC symptoms, a finding consistent with previous research. For example, Shamloo et al. (2022) reported that hospital-based nurses often display moderate OC tendencies due to their ongoing exposure to infection risks, responsibility for life-saving tasks, and frequent emotional strain [24]. Similarly, Moradi et al. (2021) found that nurses working in emergency and critical care units often show heightened obsessive behaviors such as excessive checking or intrusive thoughts, which are commonly triggered by the fear of making clinical errors [25]. Regarding job performance, the nurses in the current study exhibited a moderate level of occupational functioning, closely approaching the threshold of good performance. This aligns with findings from Cheraghi et al. (2025), who concluded that job performance in nursing populations often remains moderate when workload, shift instability, and emotional labor persist in the work context [26]. Together, these comparisons suggest that while hospital nurses generally strive to maintain functional performance levels, underlying psychological stressors such as OC symptoms may act as hidden impediments. In contrast, according to part of the findings of the study by Ergenc et al. (2020), the nurses under study had high levels of OC symptoms [27]. In another study, Elsayed et al. (2021) reported that nursing students had low levels of OC tendencies [28]. This discrepancy in the results of different studies may be due to differences in the study samples, organizational culture, and contextual conditions such as economic, political, and cultural factors.
An important contribution of this study lies in the identification of significant negative correlations between OC symptoms and job performance, observed both in total scores and across all OCD subdimensions. This finding aligns with previous evidence by Bragdon et al. (2018), who reported that specific OCD symptom dimensions, such as checking, obsessing, and ordering, are negatively associated with cognitive domains critical for occupational functioning, including working memory and cognitive flexibility [29]. Similarly, Mancebo et al. (2008) demonstrated that OCD severity was a strong predictor of occupational disability, with a substantial portion of affected individuals unable to maintain employment due to the impact of their symptoms [30]. The current study extends these insights by confirming that not only do OC traits correlate with diminished performance, but this pattern holds true across various symptom domains, suggesting a broad and consistent psychological burden that undermines day-to-day clinical functioning. However, the findings in the existing literature are not entirely consistent. Several studies report no strong or consistent correlation between OC symptoms and job performance [3138]. For instance, Frydman et al. (2020) and De Putter & Koster (2018) found that cognitive traits like impulsivity and attentional control issues did not significantly impair work functioning [35, 36]. Similarly, Stasik et al. (2012) and Moulding et al. (2014) emphasized that the impact of intrusive thoughts depends heavily on how individuals interpret and respond to them [37, 38], suggesting that symptoms alone do not determine functional outcomes. Moreover, Kontis et al. (2016) reported better functioning among individuals with OC symptoms in schizophrenia, proposing that traits like orderliness may be advantageous in some structured settings [33]. Pajouhinia et al. (2020) also highlighted the protective role of cognitive flexibility in moderating the impact of OC symptoms on functioning [32]. These inconsistent findings can be better understood through considering several theoretical and contextual moderators. For instance, cultural factors may influence how OC behaviors are perceived and managed in the workplace; in some cultures, certain compulsive traits such as meticulousness and attention to detail might be socially valued and positively linked to job performance. Similarly, organizational context, including workplace support, job demands, and role expectations, can moderate the impact of OC symptoms on performance. Nurses working in highly structured and supportive environments may experience fewer negative effects of OCD symptoms on their work outcomes. Moreover, individual differences such as personality traits, coping styles, and cognitive flexibility can also buffer or exacerbate the influence of OC symptoms on job performance. For example, nurses with high resilience or adaptive coping may maintain performance despite symptoms, whereas others may struggle more. Methodological variations across studies, including differences in sample characteristics, assessment tools, and statistical approaches, further contribute to the heterogeneity of findings.
The regression analysis further validated the significant association of OC symptoms with nurses’ job performance. Specific symptom domains, including checking compulsions, impulsive and intrusive thoughts, and ordering behaviors, were particularly influential. This finding is consistent with results from Hirschtritt et al. (2017), who found that checking compulsions and intrusive thoughts were significant negative predictors of work efficiency and decision-making performance in healthcare professionals [34]. Similarly, Wang et al. (2024) reported that ordering behaviors and intrusive thoughts significantly undermined occupational functioning and clinical judgment among nurses, particularly during the COVID-19 pandemic [2]. The associative value of these symptoms reinforces the idea that targeted mental health support, such as cognitive-behavioral interventions, should address not just general distress but specific OCD dimensions known to impair job functionality. Moreover, the presence of significant associations across multiple dimensions underscores the multifactorial nature of the psychological mechanisms at play, suggesting that interventions must be comprehensive rather than symptom-specific. On the other hand, findings from several studies have shown that OC symptoms, particularly checking compulsions, intrusive thoughts, and ordering behaviors, despite their individual impact, were not significant predictors of nurses’ job performance in regression analyses. These results suggest that although such specific OC symptoms may be present, they do not directly affect job performance according to these studies [3538]. A possible reason for the inconsistency between the findings of these studies and the present study may be the differences in study populations derived from different contextual backgrounds.
Nevertheless, it should be noted that OC symptoms alone do not fully explain variations in nurses’ job performance. Other psychological and organizational factors may play equally important roles. For example, burnout has been identified as a critical determinant of performance in healthcare settings, with emotional exhaustion and depersonalization directly impairing nurses’ effectiveness [39]. Similarly, organizational support, including adequate staffing, managerial support, and access to professional resources, has been shown to buffer psychological strain and enhance performance outcomes [40]. Additional factors such as work engagement, resilience, and leadership style may also contribute to nurses’ occupational functioning. These considerations suggest that while OC symptoms are important associative factors, they represent only one part of a more complex explanatory framework that requires attention in future studies.
Demographic factors also played a meaningful role in shaping both OC tendencies and job performance. Age and professional experience were inversely associated with OC symptoms and positively related to performance. This aligns with findings from Yagci, et al. (2022), which showed that OC symptom scores among healthcare workers decreased significantly over a 12‑month period, suggesting that as professionals gain experience and adapt to stress, their compulsive tendencies decline [41]. One possible explanation for this is that with age and accumulated experience, nurses develop better coping mechanisms and resilience, which in turn reduces stress-related symptoms such as OCD. Additionally, more experienced nurses may feel more confident and secure in their roles, contributing to improved job performance and lower OC tendencies. In contrast, a study conducted moderation analyses to determine whether age moderates the relationship between cognitive and metacognitive beliefs and the severity of OCD. Age did not significantly moderate this relationship [42]. Differences in personality traits, beliefs and attitudes, as well as the varying experiences of different study populations, may explain the inconsistency between these studies and the findings of the present research.
Gender differences were also observed, with female nurses showing slightly higher OC symptoms. This finding aligns with Shamloo et al. (2022), who found that female nurses had significantly higher scores on OC symptoms compared to their male counterparts [24]. This gender disparity could stem from a combination of societal and biological factors. Societally, women often face additional caregiving responsibilities and social expectations, which may increase overall stress and vulnerability to OC symptoms. Biologically, hormonal differences and neurobiological factors might contribute to a higher prevalence of OCD symptoms in females. However, gender was not significantly related to job performance, suggesting that despite experiencing higher psychological strain, female nurses may compensate through greater professional dedication, conscientiousness, and effective coping strategies.
Education level showed a significant difference in job performance, favoring nurses with Master’s degrees. Gunawan et al., (2020) also demonstrated in their study that nurses with higher education levels (such as a Master’s degree or higher) exhibit better clinical competence compared to those with lower educational qualifications [43]. In explaining the inconsistency between the findings of some studies and those of the present study, one study reported no significant relationship between nurses’ overall knowledge and their performance in tracheal tube suctioning. These findings suggest that higher education does not necessarily lead to improved job performance [44]. Moreover, a systematic review found that in some studies, nurses with lower levels of education reported better quality of work life compared to those with higher education levels. This highlights the complexity of the relationship between education and job performance [45]. Possible reasons for the discrepancies among study findings may include differences in the type and quality of education, environmental and organizational factors, individual and psychological characteristics, and nurses’ work experience.
Type of employment was another influential factor, with permanently employed nurses reporting better job performance and fewer OC symptoms. This finding is supported by a cross-sectional study conducted in Finland, which revealed that permanently employed nurses exhibited higher levels of work well-being and job performance, along with fewer psychological symptoms, compared to their temporarily employed counterparts [46]. Regarding the significant effect of type of employment, it is plausible that job stability associated with permanent employment reduces occupational stress and anxiety, thereby lowering OC symptoms and enhancing job performance. Permanent employees might benefit from greater organizational support, predictable work schedules, and increased job security, which could protect mental health and allow for better focus and dedication to work tasks. This highlights the important role of job stability as a potential buffer against psychological distress in high-stress professions such as nursing.

Conclusion

This study demonstrated that OC symptoms are significantly and negatively associated with job performance among hospital nurses. The findings highlight that not only are these symptoms prevalent at a moderate level among nurses, but they also substantially interfere with their professional functioning. Among the dimensions examined, compulsive checking, intrusive thoughts of harm, and ordering behaviors appeared to exert the most considerable detrimental associations. Moreover, demographic characteristics such as age, work experience, education level, gender, and employment type were associated with variations in both OC symptoms and job performance. Collectively, these results emphasize the psychological burden faced by nurses and the need for greater institutional and mental health support.

Policy implications and recommendations

Given the evident impact of OC tendencies on nurses’ job performance, hospital administrators and health policymakers should consider integrating psychological screening and support systems into routine occupational health services. Early identification of nurses experiencing heightened OC symptoms could allow for timely interventions such as cognitive-behavioral therapy, stress management training, or mindfulness-based programs. Additionally, fostering a supportive work environment that reduces job-related anxiety may help mitigate the development or worsening of these symptoms. Investing in continuing education and professional development, particularly for nurses with lower educational attainment, may also enhance confidence and performance. Finally, enhancing job security and stability, especially for contract-based or temporary staff, may alleviate some of the psychological distress linked to employment uncertainty.

Limitation of the study

While this study provides valuable insights, several limitations should be acknowledged. The cross-sectional design precludes the ability to establish causal relationships between OC symptoms and job performance. Furthermore, the possibility of reverse causality cannot be ruled out, as poor job performance may also exacerbate OC symptoms. Reliance on self-report measures may introduce bias, such as social desirability and common method variance, which could have affected the observed relationships. The sample was drawn from nurses working in hospitals within a single region, and sampling across multiple hospitals may introduce clustering effects that were not accounted for in the analysis. This limitation suggests that future studies should consider using multilevel modeling to appropriately address such hierarchical data structures. Additionally, unmeasured factors such as personality traits, coping styles, or organizational culture may have influenced the observed relationships.

Suggestions for future research

Future studies should consider employing longitudinal designs to better clarify causality and explore potential bidirectional effects between OC symptoms and job performance. Expanding the sample to include nurses from diverse healthcare environments, including private hospitals, rural clinics, and outpatient settings, would improve generalizability. Incorporating qualitative approaches could also enrich understanding of how nurses perceive and experience OC tendencies in the workplace. Moreover, supplementing self-report measures with objective indicators of job performance, such as supervisor ratings or organizational records, would reduce bias and provide a more comprehensive assessment. Exploring the mediating or moderating roles of variables such as resilience, emotional intelligence, or organizational support could offer deeper insights into protective factors that buffer the negative impacts of these symptoms. Evaluating the effectiveness of targeted psychological interventions in reducing OC symptoms and enhancing performance would further contribute to practical applications in clinical settings.

Acknowledgements

This study is approved by Shiraz University of Medical Sciences with ID 17459. The researchers would like to thank all the nurses who contributed to completing the questionnaires.

Declarations

This study is approved by the Shiraz University of Medical Sciences Ethics Committee under ID number IR.SUMS.REC.1398.636. This study was conducted in accordance with the principles of the Declaration of Helsinki. All methods were carried out in accordance with relevant guidelines and regulations. Written informed consent was obtained from all subjects and/or their legal guardians.
Not applicable.

Competing interests

The authors declare no competing interests.
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Titel
Association between obsessive-compulsive symptoms and job performance among hospital nurses: a cross-sectional study
Verfasst von
Zahra Kavosi
Khosro Keshavarz
Jamshid Bahmaei
Ali Reza Yusefi
Publikationsdatum
09.01.2026
Verlag
BioMed Central
Erschienen in
BMC Nursing / Ausgabe 1/2026
Elektronische ISSN: 1472-6955
DOI
https://doi.org/10.1186/s12912-026-04302-x
1.
Zurück zum Zitat Bordbar S, Bahmaei J, Rad HF, Yusefi AR. Investigate the state of critical thinking and its impact on moral courage and moral sensitivity; evidence from nurses’ perspective. BMC Nurs. 2024;23(1):825. https://doi.org/10.1186/s12912-024-02496-6.CrossRefPubMedPubMedCentral
2.
Zurück zum Zitat Wang D, Lin B, Liang H, Deng Y, Zhang L. Mediating role of psychological flexibility in the effect of obsessive-compulsive symptoms on sleep quality among nurses during the COVID-19 pandemic. Curr Psychol. 2024;43(18):16871–80. https://doi.org/10.1007/s12144-023-04546-9.CrossRef
3.
Zurück zum Zitat El-Sayed MM, Elhay ES, Hawash MM, Sonbol HM, Taha SM. A closer look: obsessive-compulsive symptoms among intern nurses amidst COVID-19 pandemic. BMC Nurs. 2024;23(1):214. https://doi.org/10.1186/s12912-024-01872-6.CrossRefPubMedPubMedCentral
4.
Zurück zum Zitat Özsoy T, Balaban Ö. Obsessive-compulsive disorder and its association with work addiction and job stress. Work. 2025;80(1):461–70. https://doi.org/10.3233/wor-230639.CrossRefPubMed
5.
Zurück zum Zitat Stein DJ, Ruscio AM, Altwaijri Y, Chiu WT, Sampson NA, Aguilar-Gaxiola S, et al. Obsessive-compulsive disorder in the world mental health surveys. BMC Med. 2025;23(1):416. https://doi.org/10.1186/s12916-025-04209-5.CrossRefPubMedPubMedCentral
6.
Zurück zum Zitat Kuzu Durmaz A, Çiçekoğlu Öztürk P, Çevik, Durmaz Y. Work stress and obsessive-compulsive symptoms in nurses and office workers: a comparative study. Int J Occup Saf Ergon. 2024;30(3):711-6. https://doi.org/10.1080/10803548.2024.2335029.
7.
Zurück zum Zitat Johansen T, Dittrich WH. Cognitive performance in a subclinical obsessive-compulsive sample 1: cognitive functions. Psychiatry J. 2013;2013(1):565191. https://doi.org/10.1155/2013/565191.CrossRefPubMedPubMedCentral
8.
Zurück zum Zitat Uyar B, Donmezdil S. Comparison of healthcare workers and non-healthcare workers in terms of obsessive-compulsive and depressive symptoms during COVID-19 pandemic: a longitudinal case-controlled study. Front Public Health. 2023;11:1283317. https://doi.org/10.3389/fpubh.2023.1283317.CrossRefPubMedPubMedCentral
9.
Zurück zum Zitat Saidin K, Wan P, Halim WA, Solihah WF. A synthesis towards the construct of job performance: dimensions and theoretical approaches. Pakistan J Life Social Sci. 2024;22(2):300–12. https://doi.org/10.57239/pjlss-2024-22.2.0022.CrossRef
10.
Zurück zum Zitat Almarwani AM, Alzahrani NS. Factors affecting the development of clinical nurses’ competency: A systematic review. Nurse Educ Pract. 2023;73:103826. https://doi.org/10.1016/j.nepr.2023.103826.CrossRefPubMed
11.
Zurück zum Zitat Hennekam S, Richard S, Grima F. Coping with mental health conditions at work and its impact on self-perceived job performance. Empl Relations: Int J. 2020;42(3):626–45. https://doi.org/10.1108/er-05-2019-0211.CrossRef
12.
Zurück zum Zitat Tisu L, Lupșa D, Vîrgă D, Rusu A. Personality characteristics, job performance and mental health: the mediating role of work engagement. Pers Indiv Differ. 2020;153:109644. https://doi.org/10.1016/j.paid.2019.109644.CrossRef
13.
Zurück zum Zitat Karadağ S, Çiçek B. Anxiety, depression and burnout levels of nurses working in COVID-19 intensive care units. OMEGA-Journal Death Dying. 2025;91(3):1406–21. https://doi.org/10.1177/00302228231156313.CrossRef
14.
Zurück zum Zitat Pinto A, Teller J, Wheaton MG. Obsessive-compulsive personality disorder: a review of symptomatology, impact on functioning, and treatment. Focus. 2022;20(4):389–96. https://doi.org/10.1176/appi.focus.20220058.CrossRefPubMedPubMedCentral
15.
Zurück zum Zitat Yusefi AR, Daneshi S, Davarani ER, Nikmanesh P, Mehralian G, Bastani P. Resilience level and its relationship with hypochondriasis in nurses working in COVID-19 reference hospitals. BMC Nurs. 2021;20(1):219. https://doi.org/10.1186/s12912-021-00730-z.CrossRefPubMedPubMedCentral
16.
Zurück zum Zitat Gulin S, Ellbin S, Jonsdottir IH, Lindqvist Bagge AS. Is obsessive–compulsive personality disorder related to stress-related exhaustion? Brain Behav. 2021;11(6):e02171. https://doi.org/10.1002/brb3.2171.CrossRefPubMed
17.
Zurück zum Zitat Alayoubi MM, Arekat ZM, Al Shobaki MJ, Abu-Naser SS. The impact of work stress on job performance among nursing staff in Al-Awda hospital. Found Manage. 2022;14(1):89–110. https://doi.org/10.2478/fman-2022-0006.CrossRef
18.
Zurück zum Zitat Kalanthroff E, Wheaton MG. An integrative model for Understanding obsessive-compulsive disorder: merging cognitive behavioral theory with insights from clinical neuroscience. J Clin Med. 2022;11(24):7379. https://doi.org/10.3390/jcm11247379.CrossRefPubMedPubMedCentral
19.
Zurück zum Zitat Yan X. Obsessive-Compulsive Personality. In: The ECPH encyclopedia of psychology. Singapore: Springer Nature Singapore;2024. p.1021. https://doi.org/10.1007/978-981-97-7874-4_86.
20.
Zurück zum Zitat Bakker AB, Demerouti E. Job demands–resources theory: taking stock and looking forward. J Occup Health Psychol. 2017;22(3):273. https://doi.org/10.1037/ocp0000056.CrossRefPubMed
21.
Zurück zum Zitat Taris TW, Schaufeli WB. The job demands-resources model. In: Clarke S, Probst TM, Guldenmund F, Passmore J, editors. The Wiley Blackwell handbook of the psychology of occupational safety and workplace health. Oxford: Wiley Blackwell; 2015. p. 157–80. https://doi.org/10.1002/9781118979013.ch8.
22.
Zurück zum Zitat Shams G, Kaviani H, Torkanbori YE, Ebrahimkhani N, Manesh AA. A study of validity and reliability of the Persian version of the Padua Inventory-Washington state university revision (PI-WSUR) in a sample of healthy Iranian students. Adv Cogn Sci. 2010;12(1):1–16. http://icssjournal.ir/article-1-77-en.html.
23.
Zurück zum Zitat Ghanbari S, Hemati M. The study of relationship between social capitals with job performances of Bu-Ali Sina university employees. High Educ Letter. 2016;9(35):115–33. https://journal.sanjesh.org/article_24504.html.
24.
Zurück zum Zitat Shamloo MB, Kalani L, Ramezanpour E, Khaneghah ZN, Rashidi N. Frequency of Obsessive-Compulsive symptoms related to anxiety in nurses care for COVID-19 patients: A cross-sectional study. Iran J Psychiatry Behav Sci. 2022;16(4):e127173. https://doi.org/10.5812/ijpbs-127173.CrossRef
25.
Zurück zum Zitat Moradi Y, Baghaei R, Hosseingholipour K, Mollazadeh F. Challenges experienced by ICU nurses throughout the provision of care for COVID-19 patients: A qualitative study. J Nurs Adm Manag. 2021;29(5):1159–68. https://doi.org/10.1111/jonm.13254.CrossRef
26.
Zurück zum Zitat Cheraghi R, Parizad N, Alinejad V, Piran M, Almasi L. The effect of emotional intelligence on nurses’ job performance: the mediating role of moral intelligence and occupational stress. BMC Nurs. 2025;24(1):130. https://doi.org/10.1186/s12912-025-02744-3.CrossRefPubMedPubMedCentral
27.
Zurück zum Zitat Ergenc H, Ergenc Z, Usanmaz M, Tor IH, Usanmaz H, Akcay EU. Investigating Anxiety, depression and Obsessive-Compulsive disorders (OCD) among healthcare workers in COVID-19 unit and the control group. Medicine. 2020;9(4):1072–5. https://doi.org/10.5455/medscience.2020.07.132.CrossRef
28.
Zurück zum Zitat Elsayed MM, Ghazi GA. Fear of COVID-19 Pandemic, Obsessive-Compulsive traits and sleep quality among first academic year nursing Students, Alexandria University, Egypt. Egypt J Health Care. 2021;12(2):224–41. https://doi.org/10.21608/ejhc.2021.150261.CrossRef
29.
Zurück zum Zitat Bragdon LB, Gibb BE, Coles ME. Does neuropsychological performance in OCD relate to different symptoms? A meta-analysis comparing the symmetry and obsessing dimensions. Depress Anxiety. 2018;35(8):761–74. https://doi.org/10.1002/da.22785.CrossRefPubMed
30.
Zurück zum Zitat Mancebo MC, Greenberg B, Grant JE, Pinto A, Eisen JL, Dyck I, Rasmussen SA. Correlates of occupational disability in a clinical sample of obsessive-compulsive disorder. Compr Psychiatr. 2008;49(1):43–50. https://doi.org/10.1016/j.comppsych.2007.05.016.CrossRef
31.
Zurück zum Zitat Singh A, Beniwal RP, Bhatia T, Deshpande SN. Schizophrenia with and without obsessive-compulsive symptoms: a comparative analysis of performance on trail making test and disability on WHODAS. Gen Psychiatr. 2020;33(6):e100237. https://doi.org/10.1136/gpsych-2020-100237.CrossRefPubMedPubMedCentral
32.
Zurück zum Zitat Pajouhinia Sh, Abavisani Y, Rezazadeh Z. Explaining the Obsessive-compulsive symptoms based on cognitive flexibility and social cognition. J Pract Clin Psychol. 2020;8(3):233–42. https://doi.org/10.32598/jpcp.8.3.10.717.1.CrossRef
33.
Zurück zum Zitat Kontis D, Theochari E, Nikolakopoulou M, Andreopoulou A, Vassos D, Grigoriou V, et al. Obsessive compulsive symptoms are associated with better functioning independently of cognition in schizophrenia. Compr Psychiatr. 2016;70:32–40. https://doi.org/10.1016/j.comppsych.2016.06.009.CrossRef
34.
Zurück zum Zitat Hirschtritt ME, Bloch MH, Mathews CA. Obsessive-compulsive disorder: advances in diagnosis and treatment. JAMA. 2017;317(13):1358–67. https://doi.org/10.1001/jama.2017.2200.CrossRefPubMed
35.
Zurück zum Zitat Frydman I, Mattos P, de Oliveira-Souza R, Yücel M, Chamberlain SR, Moll J, Fontenelle LF. Self-reported and neurocognitive impulsivity in obsessive-compulsive disorder. Compr Psychiatr. 2020;97:152155. https://doi.org/10.1016/j.comppsych.2019.152155.CrossRef
36.
Zurück zum Zitat De Putter LM, Koster EH. Can selective attention and Inhibition (interactively) predict future obsessive compulsive symptoms? A prospective study. J Behav Ther Exp Psychiatry. 2018;61:150–7. https://doi.org/10.1016/j.jbtep.2018.07.007.CrossRefPubMed
37.
Zurück zum Zitat Stasik SM, Naragon-Gainey K, Chmielewski M, Watson D. Core OCD symptoms: exploration of specificity and relations with psychopathology. J Anxiety Disord. 2012;26(8):859–70. https://doi.org/10.1016/j.janxdis.2012.07.007.CrossRefPubMedPubMedCentral
38.
Zurück zum Zitat Moulding R, Coles ME, Abramowitz JS, Alcolado GM, Alonso P, Belloch A, et al. Part 2. they scare because we care: the relationship between obsessive intrusive thoughts and appraisals and control strategies across 15 cities. J obsessive-compulsive Relat Disorders. 2014;3(3):280–91. https://doi.org/10.1016/j.jocrd.2014.02.006.CrossRef
39.
Zurück zum Zitat Yusefi AR, Faryabi R, Bordbar S, Daneshi S, Nikmanesh P. Job burnout status Andand its relationship with resilience level of healthcare workers during Covid-19 pandemic: a case of Southern Iran. Iran J Health Sci. 2021;9(3):1–11. https://doi.org/10.18502/jhs.v9i3.7305.CrossRef
40.
Zurück zum Zitat Obeng AF, Zhu Y, Azinga SA, Quansah PE. Organizational climate and job performance: investigating the mediating role of harmonious work passion and the moderating role of leader–member exchange and coaching. Sage Open. 2021;11(2):21582440211008456. https://doi.org/10.1177/21582440211008456.CrossRef
41.
Zurück zum Zitat Yagci ZG, Ozcan GG, Yagci T, Ceylan D. Comparison of frontline healthcare professionals and other healthcare professionals in terms of Depression, Anxiety, Stress, Obsessive-Compulsive symptoms and quality of life in the COVID-19 pandemic. Eurasian J Med Invest. 2022;6(3):318–25. https://doi.org/10.14744/ejmi.2022.11975.CrossRef
42.
Zurück zum Zitat Rizvi M, Smilansky H, Porth R, Myers N, Geller D, Small BJ, McGuire JF, Wilhelm S, Storch EA. The moderating effect of age on the associations of cognitive and metacognitive beliefs with pediatric OCD symptoms. Cogn Behav Ther. 2021;50(2):104–20. https://doi.org/10.1080/16506073.2020.1819866.CrossRefPubMed
43.
Zurück zum Zitat Gunawan J, Aungsuroch Y, Fisher ML, Marzilli C, Liu Y. Factors related to the clinical competence of registered nurses: systematic review and meta-analysis. J Nurs Scholarsh. 2020;52(6):623–33. https://doi.org/10.1111/jnu.12594.CrossRefPubMed
44.
Zurück zum Zitat Areshtanab HN, Moonaghi HK, Jouybari L, Zamanzadeh V, Ebrahimi H. Adapting life to the reality of diabetes. East Mediterr Health J. 2018;24(8):729–35. https://doi.org/10.26719/2018.24.8.729.CrossRefPubMed
45.
Zurück zum Zitat Sibuea ZM, Sulastiana M, Fitriana E. Factor affecting the quality of work life among nurses: A systematic review. J Multidiscip Healthc. 2024;17:491–503. https://doi.org/10.2147/jmdh.s446459.CrossRefPubMedPubMedCentral
46.
Zurück zum Zitat Hult M, Halminen O, Mattila-Holappa P, Kangasniemi M. Health and work well-being associated with employment precariousness among permanent and temporary nurses: a cross-sectional survey. Nordic J Nurs Res. 2022;42(3):140–6. https://doi.org/10.1177/20571585211070376.CrossRef