Kim and Uhm: Effects of the Nursing Work Environment, Patient-Centered Communication, Occupational Coping Self-Efficacy, and Professional Identity on Missed Nursing Care among General Hospital Nurses
Abstract
Purpose
This study examined the associations between the nursing work environment, patient-centered communication, occupational coping self-efficacy, professional identity, and missed nursing care among nurses working in general hospitals.
Methods
A descriptive cross-sectional design was adopted, using data collected in 2025 from 177 nurses working in a general hospital. The following questionnaires were used: the Practice Environment Scale of the Nursing Work Index-5, Patient-Centered Communication Scale for Nurses, Korean Version of the Occupational Coping Self-efficacy for Nurses Scale, Professional Identity in Nursing Scale 2.0, and MISSCARE Scale. Descriptive statistics, t-tests, Pearson's correlation coefficients, and multiple regression analyses were performed.
Results
Total clinical experience and overtime were negatively and positively correlated with missed nursing care, respectively. The nursing work environment, patient-centered communication, occupational coping self-efficacy, and professional identity were negatively associated with missed nursing care. Multiple regression analysis revealed that increased overtime hours (β=.24, p<.001) were associated with higher levels of missed nursing care, whereas a favorable nursing work environment (β=-.34, p<.001), effective patient-centered communication (β=-.21, p<.001), and strong professional identity (β=-.27, p<.001) were associated with lower levels of missed nursing care. Furthermore, these factors explained 47.4% of the variance in missed nursing care (F=32.74, p<.001).
Conclusion
Professional identity and patient-centered communication were identified as new factors associated with missed nursing care among nurses in general hospitals. To potentially address missed nursing care and enhance patient safety, efforts to reinforce nurses’ professional identities and patient-centered communication should be considered.
Key words: Patient-centered care, Professionalism, Self efficacy, Working condition
INTRODUCTION
In February 2024, in response to government plans to expand medical school admissions in South Korea, physician-led collective actions resulted in widespread surgical cancellations and outpatient service delays at tertiary hospitals [ 1], as well as disruptions to the emergency department operations [ 2]. The government subsequently sought to mitigate disruptions in healthcare delivery by directing patients with mild or non-emergency conditions to general hospitals [ 3]. As tertiary hospitals reduced their elective services and capacity, general hospitals were increasingly required to absorb a broader range of patients, thereby contributing to the congestion in outpatient and inpatient care. These measures shifted a substantial volume of patient care to hospitals where staffing and resources were relatively limited. In 2024, inpatient bed utilization in these hospitals increased by 4.9% year-over-year, whereas the nursing workforce grew by only 0.6% compared to the previous quarter [ 4, 5]. Nurse staffing is largely determined by the licensed bed capacity, which limits rapid workforce expansion during this period. This imbalance between patient demand and staffing capacity exacerbates nursing shortages and places an additional burden on nurses. Staffing shortages pose a significant threat to patient safety and the quality of nursing care [ 6], further underscoring the importance of systematically examining and managing missed nursing care (MNC).
MNC is defined as an essential nursing activity that is delayed, partially completed, or omitted owing to resource constraints, which are sensitive indicators of patient safety risk [ 6]. In Kalisch's MNC model, MNC occur when care demands exceed available resources or when relationship and communication problems constrain care delivery and nurses' internal processes, including team norms, priority decision making, internal values and beliefs, and habits in which care is delayed or omitted [ 7]. Previous studies have demonstrated that MNC are influenced by a combination of organizational factors, such as the nursing work environment, levels of staffing and material resources, teamwork, and communication, as well as nurses' psychosocial characteristics, including self-efficacy [ 7- 9]. Additionally, the nursing work environment has been identified as a key structural factor influencing how nurses prioritize nursing activities under constrained conditions [ 10]. When this environment is suboptimal, nurses are more likely to selectively omit or delay certain nursing activities owing to time constraints and excessive workload, thereby increasing the likelihood of MNC [ 8].
Beyond structural factors, nurses' psychosocial attributes, including communication competencies, have been recognized as internal mechanisms that mitigate the effects of MNC. Patient-centered communication—regarded as a core element of high-quality nursing care—refers to an interactive process that respects patients' values and preferences, clearly conveys treatment-related information, and facilitates shared decision-making [ 11]. Nurses with high patient-centered communication competence are more likely to establish trusting relationships with patients and accurately identify patient needs, thereby streamlining care processes and reducing unnecessary delays [ 12]. Occupational coping self-efficacy (OCSE) refers to an individual's belief in their ability to manage job-related stressors effectively. For nurses, this includes confidence in managing both occupational burden and relational difficulties encountered in clinical practice [ 13]. Nurses with greater self-efficacy may be better able to mitigate stress and actively engage in behaviors that promote patient safety, even under demanding workloads [ 9].
Nurses with a robust professional identity are more likely to internalize the core values of nursing and recognize the essence of care. Professional identity reflects nurses' perceptions of their professional roles, responsibilities, and ethical standards, and serves as a value-based framework guiding prioritization in practice [ 14]. This value-based framework allows them to engage in patient care more actively and prioritize safety-critical activities, even under constrained clinical conditions [ 14, 15]. Accordingly, professional identity may be considered as a factor that reduces the likelihood of MNC.
While previous studies have primarily focused on structural factors, such as staffing levels, workload, time pressure, material resources, and the nursing work environment, research that integrates psychosocial factors, including patient-centered communication, OCSE, and professional identity, remains scarce [ 8]. In general hospital settings, where task complexity increases amid limited staffing, these psychosocial factors may function as critical internal mechanisms [ 7]. However, empirical research examining these relationships among nurses in general hospitals is limited. Accordingly, this study comprehensively examined the associations of the nursing work environment, patient-centered communication, OCSE, and professional identity with MNC among nurses working in general hospitals. Understanding the combined influence of structural and psychosocial factors in MNC may support the development of evidence-based nursing education and quality improvement initiatives.
1. Objectives
This study sought to identify the factors associated with MNC among nurses working in general hospitals. The specific objectives of this study were as follows:
• To assess nurses' general characteristics, work environment, patient-centered communication, occupational coping self-efficacy, professional identity, and MNC.
• To examine differences in MNC according to nurses' general characteristics.
• To explore the correlations among the study variables.
• To identify the factors influencing MNC among general hospital nurses.
METHODS
1. Study Design
A descriptive cross-sectional design was employed to investigate the factors influencing MNC.
2. Participants
Participants were recruited using convenience sampling from a single 570-bed general hospital.
Nurses who voluntarily provided written informed consent were included. Eligible participants were full-time registered nurses working rotating shifts in general inpatient wards with at least six months of clinical experience. This criterion was applied to exclude nurses in the early role-transition period [ 16]. Additionally, because the level and characteristics of missed nursing care differ across hospital unit types [ 10], the study was restricted to nurses working in general inpatient wards. To further ensure homogeneity in job characteristics, nurses working in outpatient departments, specialty units, or fixed day-shift or exclusively night-shift positions were excluded [ 10, 17].
The required sample size was calculated using G*Power, version 3.1 for a multiple regression analysis with 13 independent variables. The variables included gender, marital status, education level, position, working department, age, total clinical experience, experience in the current department, overtime hours per week, nursing work environment, patient-centered communication, occupational coping self-efficacy, and professional identity. Categorical variables were coded as dichotomous for the estimation. Based on a significance level of .05, statistical power of .90, effect size of 0.15, as derived from a previous study [ 18], and 13 predictor variables, the minimum required sample size was 162 participants. Considering an anticipated 12.6% attrition rate [ 18], 187 questionnaires were distributed. From these, five incomplete responses (2.7%) were removed, and an additional five cases (2.7%) were excluded as multivariate outliers identified via Mahalanobis distance [ 19]. Consequently, data from 177 participants were included in the final analysis, yielding an effective response rate of 94.7%.
3. Measures
1) Nursing work environment
Nursing work environment was assessed using a short version of the Practice Environment Scale of the Nursing Work Index [ 20]. This 5-item short version consists of five domains: foundations for quality of care, nurse manager leadership and support, staffing and resource adequacy, nurse-physician collaboration, and nurses' participation in hospital affairs. Items are rated on a 4-point Likert scale (1=strongly disagree to 4=strongly agree), with higher scores indicating a more favorable nursing work environment. The mean item scores were calculated. Cronbach's ⍺ was .82 at the time of development and .80 in the present study.
2) Patient-centered communication
Patient-centered communication was measured using a Patient-Centered Communication Scale [ 12]. The scale consists of 12 items across three domains: information sharing (five items), recognition of the patient as a person (four items), and therapeutic alliance (three items). Items are rated on a 5-point Likert scale (1=strongly disagree to 5=strongly agree), with higher scores indicating higher levels of patient-centered communication. The mean item scores were calculated. Cronbach's ⍺ was .84 at the time of development and .93 in the present study.
3) Occupational coping self-efficacy
Occupational coping self-efficacy was measured using the Korean Version of the Occupational Coping Self-Efficacy Scale for Nurses [ 13]. Permission for use was obtained from the original authors. This scale consists of nine items across two domains: occupational burden (four items) and relational difficulties (five items). Items were rated on a 5-point Likert scale (1=strongly disagree to 5=strongly agree), with higher scores indicating higher levels of occupational coping self-efficacy. The mean item scores were calculated. Cronbach's ⍺ was .89 in Park et al.'s study [ 13] and .88 in the present study.
4) Professional Identity
Professional identity was measured using the Professional Identity in Nursing Scale 2.0[ 14]. Permission was obtained from the original authors. The instrument underwent forward and back-translation following World Health Organization guidelines [ 21]. Two translators completed the forward translation, and two independent translators conducted the back translation. A senior native English translator reviewed translated versions to ensure linguistic clarity and conceptual equivalence. Cultural relevance and contextual appropriateness were further evaluated by two experts in instrument development to ensure the suitability of the study setting. The scale consists of 30 items across four domains: values and ethics (seven items), knowledge (five items), leadership (eight items), and professional comportment (10 items). The instrument includes both self- and environment-based ratings. However, only the self-rating component was used to focus on individual professional identity and reduce conceptual overlap with the nursing work environment measure. In this study, only the self-assessment component was used. Items were rated on a 5-point scale based on Dreyfus' model of skill acquisition (1=novice to 5=expert), with higher scores indicating stronger professional identity as a nurse. The mean item scores were calculated. Cronbach's ⍺ was .97 at the time of development and .98 in the present study.
4. Missed Nursing Care
MNC was measured using the Korean version of the MISSCARE Survey scale [ 22]. Permission to use the instrument was obtained from both original authors. The MISSCARE Survey comprises the following two parts: Part A assesses the frequency of missed nursing care activities, while Part B examines the reasons for missed nursing care. In this study, only Part A was analyzed as an overall measure of missed nursing care frequency. The scale consists of 18 items rated on a 4-point Likert scale (1=rarely missed to 4=always missed), with an additional "not applicable" option. Higher scores indicate a greater frequency of MNC. Mean item scores for MNC were calculated for each participant after excluding "not applicable" responses. Cronbach's ⍺ was .87 in Kim et al.'s study [ 22] and .89 in the present study.
5. Ethical Considerations
This study was approved by the Institutional Review Board of the first author's affiliated institution (PKNU IRB 2025-06-008). Participants were provided with written information explaining the study purpose and procedures, as well as assurances of anonymity and confidentiality, and informed that the collected data would be used solely for research purposes. Participants were informed that participation was voluntary, that they could withdraw from the study at any time without penalty, and that no disadvantages would result from participation or withdrawal. Written informed consent was obtained from all participants prior to data collection. The participants received a KRW 5,000 gift voucher upon completion of the survey. Completed questionnaires were collected in sealed envelopes, and all identifying information was replaced with codes to ensure anonymity. Only anonymized data were used in the analysis.
6. Data Collection
Data were collected using self-administered questionnaires from August 12 to 23, 2025. With the cooperation of the nursing department, the questionnaires were distributed to nurses who provided written informed consent. The completion of the questionnaire took approximately 15 min, and the participants received a small gift card as a token of appreciation for their time.
7. Data Analysis
Data were analyzed using IBM SPSS Statistics for Windows, version 31.0. Descriptive statistics summarized the participants' general characteristics and study variables. Independent t-tests, one-way analysis of variance, Pearson's correlation coefficients, and multiple regression analysis with backward elimination were performed to identify significant predictors of MNC. All candidate predictors (including dummy-coded marital status and position) were entered initially, and the probability of F-to-enter (PIN) and the probability of F-to-remove (POUT) were set at .05 and .10, respectively.
RESULTS
1. Descriptive Statistics of General Characteristics and Study Variables
The mean age of participants was 29.64±5.35 years, and the majority were women (n=167, 94.4%). Most participants were unmarried (n=136, 76.8%) and held a bachelor's degree (n=160, 90.4%). The mean total clinical experience was 5.72±5.15 years, with a mean duration of 3.60±3.22 years in their current unit. Most of the participants were staff nurses (n=166, 93.8%). Regarding work units, 99 participants (55.9%) worked in medical wards, and 78 (44.1%) worked in surgical wards. The mean number of overtime hours per week was 3.78±4.48 hours ( Table 1), and the levels of the study variables are presented in Table 2.
Table 1.
Demographic Characteristics of Nurses in General Hospitals (N=177)
|
Variables |
Categories |
n (%) or M± SD |
|
Age (year) |
|
29.64±5.35 |
|
Gender |
Women |
167 (94.4) |
|
Men |
10 (5.6) |
|
Marital status |
Unmarried |
136 (76.8) |
|
Married |
41 (23.2) |
|
Education level |
Bachelor |
160 (90.4) |
|
Associate degree |
17 (9.6) |
|
Total clinical experience (year) |
|
5.72±5.15 |
|
Experience in current department (year) |
|
3.60±3.22 |
|
Position |
General nurse |
166 (93.8) |
|
Chief nurse |
11 (6.2) |
|
Working department |
Medicine ward |
99 (55.9) |
|
Surgical ward |
78 (44.1) |
|
Overtime per week (hour) |
|
3.78±4.48 |
Table 2.
Level of Nursing Work Environment, Patient-Centered Communication, Occupational Coping Self-Efficacy, Professional Identity, and Missed Nursing Care (N=177)
|
Variables |
Range (Min∼Max) |
M± SD |
|
Missed nursing care |
1∼4 |
1.32±0.27 |
|
Nursing work environment |
1∼4 |
2.26±0.67 |
|
Patient-centered communication |
1∼5 |
3.71±0.65 |
|
Occupational coping self-efficacy |
1∼5 |
3.28±0.63 |
|
Professional identity |
1∼5 |
3.00±0.77 |
2. Differences in Missed Nursing Care According to General Characteristics
Significant differences in MNC were observed according to marital status and job position. Mean MNC scores were higher among unmarried nurses (1.40±0.45) than married nurses (1.24±0.19) (t=2.48, p=.015). Additionally, staff nurses reported significantly higher MNC scores (1.38±0.42) than charge nurses (1.11±0.74) (t=7.03, p<.001) ( Table 3).
Table 3.
Differences in Missed Nursing Care according to General Characteristics of Nurses (N=177)
|
Variables |
Categories |
Missed nursing care |
|
M± SD |
t |
p
|
|
Gender |
Women |
1.31±0.27 |
-1.43 |
.153 |
|
Men |
1.44±0.29 |
|
|
|
Marital status |
Unmarried |
1.40±0.45 |
2.48 |
.015 |
|
Married |
1.24±0.19 |
|
|
|
Education level |
Bachelor |
1.36±0.38 |
-0.59 |
.555 |
|
Associate degree |
1.41±0.62 |
|
|
|
Position |
General nurse |
1.38±0.42 |
7.03 |
<.001 |
|
Chief nurse |
1.11±0.74 |
|
|
|
Working department |
Medicine ward |
1.33±0.38 |
-0.88 |
.379 |
|
Surgical ward |
1.40±0.45 |
|
|
3. Correlations among Study Variables
Correlation analysis revealed that MNC were negatively and positively correlated with total clinical experience (r=-.16, p=.040) and mean overtime hours (r=.42, p<.001), respectively. Additionally, MNC was significantly negatively correlated with nursing work environment (r=-.51, p<.001), patient-centered communication (r=-.42, p<.001), occupational coping self-efficacy (r=-.33, p<.001), and professional identity (r=-.43, p<.001) ( Table 4).
Table 4.
Correlations among Nursing Work Environment, Patient-Centered Communication, Occupational Coping Self-Efficacy, Professional Identity, General Characteristics, and Missed Nursing Care (N=177)
|
Variables |
Age |
TCE |
ECD |
Overtime per week |
NWE |
PCC |
OCSE |
Professional identity |
MNC |
|
r (p) |
r (p) |
r (p) |
r (p) |
r (p) |
r (p) |
r (p) |
r (p) |
r (p) |
|
Age |
1 |
|
|
|
|
|
|
|
|
|
TCE |
.79 (<.001) |
1 |
|
|
|
|
|
|
|
|
ECD |
.39 (<.001) |
.45 (<.001) |
1 |
|
|
|
|
|
|
|
Overtime per week |
-.11 (.149) |
-.14 (.072) |
-.17 (.026) |
1 |
|
|
|
|
|
|
NWE |
-.01 (.936) |
-.06 (.430) |
-.05 (.494) |
-.28 (<.001) |
1 |
|
|
|
|
|
PCC |
-.15 (.048) |
-.05 (.553) |
-.08 (.277) |
-.19 (.011) |
-.28 (<.001) |
1 |
|
|
|
|
OCSE |
-.14 (.074) |
-.05 (.545) |
-.17 (.022) |
-.10 (.196) |
.35 (<.001) |
.58 (<.001) |
1 |
|
|
|
Professional identity |
-.21 (.006) |
.17 (.027) |
-.02 (.822) |
-.11 (.152) |
.19 (.012) |
.27 (<.001) |
.33 (<.001) |
1 |
|
|
MNC |
-.13 (.076) |
-.16 (.040) |
-.12 (.114) |
.42 (<.001) |
-.51 (<.001) |
-.42 (<.001) |
-.33 (<.001) |
-.43 (<.001) |
1 |
4. Factors Influencing Missed Nursing Care
Prior to conducting multiple regression analysis, the assumptions of linearity, independence of residuals, normality, homoscedasticity, and absence of multicollinearity were verified. The correlation coefficients between the independent variables were <.80. Tolerance values ranged from 0.85 to 0.93, and variance inflation factor (VIF) values ranged from 1.07 to 1.18, indicating no multicollinearity. The Durbin-Watson statistic was 2.07, confirming the independence of the residuals. Cook's distance values did not exceed 0.10, and visual inspection of the scatterplots supported linearity. Standardized residuals were with-in±3, and the normal P-P plot exhibited an approximately linear distribution, thereby confirming that the assumptions of normality and homoscedasticity were satisfied [ 19]. Multivariate regression analysis with backward elimination was performed using variables associated with MNC in preliminary analyses, including marital status, position, total clinical experience, overtime hours, nursing work environment, patient-centered communication, occupational coping self-efficacy, and professional identity. The final model was then determined using backward elimination. In the final model, overtime hours (β=.24, p<.001), nursing work environment (β=-.34, p<.001), patient-centered communication (β=-.21, p<.001), and professional identity (β=-.27, p<.001) were factors associated with MNC. The final model explained 47.4% of the variance in the MNC (F=32.74, p<.001) ( Table 5).
Table 5.
Influencing Factors for Missed Nursing Care (N=177)
|
Variables |
B |
SE |
β |
t |
p
|
Tolerance |
VIF |
|
(Constant) |
2.20 |
0.10 |
|
21.11 |
<.001 |
|
|
|
Total clinical experience |
-0.01 |
0.00 |
-.11 |
-1.91 |
.058 |
.93 |
1.07 |
|
Overtime per week |
0.01 |
0.00 |
.24 |
4.10 |
<.001 |
.89 |
1.13 |
|
Nursing work environment |
-0.14 |
0.02 |
-.34 |
-5.69 |
<.001 |
.85 |
1.18 |
|
Patient-centered communication |
-0.09 |
0.02 |
-.21 |
-3.56 |
<.001 |
.85 |
1.17 |
|
Professional identity |
-0.09 |
0.02 |
-.27 |
-4.57 |
<.001 |
.88 |
1.14 |
|
R2=.49, Adj. R2=.47, F=32.74, p<.001 |
DISCUSSION
We investigated the level of MNC among nurses in general hospitals within the unique context of the 2024 physician collective action and explored the associations of the nursing work environment, patient-centered communication, occupational coping self-efficacy, and professional identity with MNC. Our findings offer a foundation for the development of educational interventions aimed at preventing MNC.
The levels of MNC and patient-centered communication were comparable to those in previous reports [ 22, 23], whereas perceptions of the nursing work environment and professional identity were relatively low [ 24, 25]. In the context of an increased workload and deteriorating work conditions, nurses' professional values that prioritize patient safety and essential care help explain the variations in MNC [ 7, 26]. Meanwhile, patient-centered communication may remain relatively stable because it is driven more by internal attitudes than by fluctuating environmental factors [ 11]. The nursing work environment score fell below the 2.5 cutoff, which indicates an "unfavorable" status [ 27], likely due to the surge in patient volume during the medical crisis and chronic staffing shortages. Consistent with this, our nursing work environment score (2.26±0.67) was lower than that reported among general-hospital nurses before the 2024 physician collective action (2.56±0.55) [ 28], suggesting that the crisis context may have amplified negative perceptions of the work environment. Lower professional identity may be linked to the participants' younger average age and shorter clinical experience compared to previous reports [ 25]. Conversely, occupational coping self-efficacy is relatively high, suggesting that nurses employ adaptive strategies such as enhancing collegial communication to maintain efficiency under pressure [ 8].
MNC was significantly higher among unmarried and staff nurses, further aligning with previous research in general hospitals [ 29]. However, as unmarried nurses are generally younger, this may reflect age-related factors. Consistent with a previous study [ 30], staff nurses reported more missed care than charge nurses, likely because those in higher positions had more prioritization experience. Given the small married and charged nurse subsample, marital status- and position-related differences should be interpreted cautiously. MNC were positively and negatively correlated with overtime hours and total clinical experience, respectively. The negative association with clinical experience suggests that less experienced nurses struggle with multitasking and complex prioritization [ 29].
Multiple regression analysis identified overtime hours, nursing work environment, patient-centered communication, and professional identity as predictors of the MNC. This finding is consistent with reports indicating that working hours increased and overtime normalized during the 2024 medical workforce shortage compared with prior periods [ 31]. The link between overtime and MNC corroborates systematic reviews [ 10] as prolonged hours deplete the cognitive energy required for effective task prioritization. Consistent with previous research [ 22], the nursing work environment was identified as a significant factor influencing the MNC. During the 2024 medical crisis, general hospitals absorbed a surge of patients redirected from tertiary hospitals, whereas nurse staffing levels remained constrained by licensed bed capacity standards. Such structural strain may also weaken nurse manager leadership and coordination in complex clinical situations [ 32], further intensifying time pressure and increasing the likelihood of delays or omissions in nursing care [ 7, 33]. Therefore, a poor environment directly undermines nurses' abilities to fulfill their essential care duties.
Patient-centered communication has emerged as a significant factor that influences MNC. While few studies have directly tested this factor, communication skills are consistently linked to overall nursing performance [ 24]. Through active listening, open-ended questions, and empathy, nurses can accurately identify patients' priorities and emotional needs [ 12], thereby reducing redundant tasks, enhancing patient cooperation, and minimizing missed nursing care [ 32]. For example, attentive listening can help nurses detect unspoken concerns and clarify patients' understanding, which supports the timely delivery of care that is frequently missed under time pressure, such as emotional support, discharge teaching, and the assessment of medication effects.
Professional identity has been identified as a significant predictor of MNC. Although direct evidence is scarce, previous research has demonstrated that professional identity is positively associated with patient safety attitudes and caring behaviors [ 34]. Weak identity may diminish intrinsic motivation and the sense of responsibility required to complete essential nursing activities, rendering it more challenging for nurses to prioritize tasks and fulfill caring roles [ 15, 26]. Furthermore, professional commitment, as a core component of professional identity, has been associated with lower levels of missed care [ 14, 35]. However, considering this study's cross-sectional design, MNC are unlikely to be explained by intrinsic motivation alone, and instead likely reflect the combined influence of individual and work-related factors.
Occupational coping self-efficacy was significantly correlated with MNC but did not emerge as a significant predictor in the regression analysis. Considering its strong correlation with patient-centered communication (r=.58) and moderate association with professional identity (r=.33) and nursing work environment (r=.35), its explanatory power was likely attenuated after adjustment for these related factors. These findings suggest that occupational coping self-efficacy is more likely to influence missed nursing care indirectly through communication behaviors and professional values, rather than exerting an independent effect. Occupational coping self-efficacy is associated with the ability to cope with relational difficulties involving colleagues and other healthcare workers [ 13], which enhances communication and collaboration in clinical interactions [ 11]. The relatively strong correlation with the nursing work environment also indicates a conceptual overlap with teamwork-related aspects [ 20]. However, the actual completion of nursing tasks was more directly influenced by structural conditions and internalized professional values, which may account for the lack of significance in the final model.
During the 2024 medical crisis, patient volumes decreased in tertiary hospitals but increased in general hospitals, shifting the care burden to settings with relatively limited staff. Although limited emergency support measures were introduced at the government level, corresponding compensation or institutional support, such as overtime pay or professional development opportunities, were not sufficiently available in the present study setting. Considering the established association between inadequate staffing, increased workload, and missed nursing care [ 7, 33], government-level support and compensation systems for nurses in general hospitals are likely essential for mitigating missed nursing care during future healthcare disruptions. This study had several limitations. First, the participants were recruited through convenience sampling from a single general hospital in one region, thereby limiting the generalizability of the findings. Second, the limited empirical evidence on the relationship between MNC and occupational coping self-efficacy restricts the interpretation of its role as an influencing factor. Accordingly, future research should include nurses from diverse general hospital settings and examine a broader range of variables to better elucidate the factors associated with MNCs. Third, because backward stepwise regression is data-driven, the final model may not fully reflect the theoretical assumptions and may be susceptible to overfitting. Therefore, these findings should be interpreted with caution, and future studies using theory-driven or confirmatory approaches are warranted.
Despite these limitations, overtime hours, the nursing work environment, patient-centered communication, and professional identity were identified as significant factors, accounting for 47.4% of the variance in MNC among general hospital nurses. These findings add to the literature by highlighting the roles of professional identity and patient-centered communication in MNC. Interventions targeting these factors may help reduce MNC and maintain the quality of nursing care in general hospital settings, where workforce expansion is limited.
CONCLUSION
This study examined the factors associated with MNC among general hospital nurses. Increased overtime, an unfavorable work environment, and lower levels of patient-centered communication and professional identity were associated with higher levels of missed nursing care. Although clinical experience and occupational coping self-efficacy were negatively correlated with MNC, these were not associated with MNC in the multiple regression analysis. Based on these results, structural improvements should be made to reduce overtime and enhance the work environment, along with organizational strategies to bolster nurses' professional identities and patient-centered communication competencies.
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