Comparative evaluation of nurse-led versus traditional trauma services in plastic surgery: a retrospective cohort study
- Open Access
- 11.02.2026
- Research
Abstract
Background
Trauma is a critical public health challenge in China, representing the fifth leading cause of death among the general population and the primary cause of mortality among Chinese youth [1]. Within the specialized field of plastic surgery, trauma-related injuries, including pediatric fractures and complex degloving skin and soft tissue injuries, constitute a substantial portion of the operative workload [2, 3]. Effective management of these cases often necessitates a multispecialty infrastructure, including dedicated isolation wards and intensive care units [4]. Despite the high volume of cases, plastic surgery teams frequently encounter difficulties in accurately determining specific service needs, often leading to surgical wait times that exceed the thresholds recommended by national Chinese guidelines [5, 6].
The current systems and structures in many Chinese hospitals are frequently insufficient to provide the personalized, person-centered care required for optimal trauma outcomes [7, 8]. Previous reports have highlighted systemic inefficiencies similar to those in other international institutes, characterized by significant delays, long wait periods, and the cancellation of consultant appointments [9, 10]. In traditional hospital settings, a limited number of full-time plastic surgeons and trainee doctors manage both elective and emergency cases, creating a significant clinical burden that often results in the postponement of essential procedures [6, 11]. However, evidence suggests that re-organizing services to provide timely, safe, same-day surgery on a “see and treat” basis can significantly improve the quality of care for minor trauma [7, 12].
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Global literature increasingly supports the transition toward nursing-integrated models to address these gaps [5, 7, 13, 14]. Studies in the United Kingdom and Australia have demonstrated that nurse-led trauma services and emergency nurse practitioner-led dispositions can significantly improve waiting times, patient safety, and overall clinical experience [5, 13]. In surgical settings, nurses often possess superior skills in developing patient rapport and therapeutic communication, which are associated with reduced patient stress and improved satisfaction compared to traditional surgeon-led agreements [15‐17]. Furthermore, nurse-led interventions have shown promise in managing specific oncological and reconstructive needs, effectively bridging the gap between consultant-led care and patient requirements [14, 18].
Despite these global trends, evidence regarding the efficacy of nurse-led trauma services (NLTS) within Chinese plastic surgery departments remains sparse [1, 6]. Traditional trauma services (TTS) in China remain predominantly physician-centric, often underutilizing the leadership potential of nursing staff in perioperative management and resuscitation [11, 19]. Recent epidemiological investigations and literature reviews suggest that critical gaps remain in trauma training and the integration of military-civilian trauma care systems to achieve zero preventable deaths [1, 20, 21]. There is a pressing need to evaluate whether an NLTS model—optimizing the nursing process and prioritizing nurse-led leadership—can outperform the traditional doctor-centered multidisciplinary collaboration in a clinical setting [11, 19, 21].
The specific objectives of this study are to compare the efficacy and safety of the NLTS and TTS models in a plastic surgery department, to evaluate their respective impacts on surgical timing and patient satisfaction, and to explore the prospects of implementing nurse-led leadership as a standard clinical model in Chinese trauma care.
Methods
Design, setting, and period
Retrospective analyses of medical records from July 1, 2018, to December 6, 2024, of the Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, China.
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Inclusion criteria
Patients were included if they required plastic surgical intervention following trauma-related injuries.
Exclusion criteria
Patients admitted to the plastic surgery department due to traumatology but did not require surgery were excluded from the study. Patients who had incomplete medical records were excluded from the study.
Sample size calculations
Professional-led trauma services
A total of 107 patients received NLTS followed by minor or major plastic surgery (NLTS cohort). A total of 141 patients received TTS followed by minor or major plastic surgery (TTS cohort). All patients received medical interventions as per full-time consulting plastic surgeon and intensivist(s) or physician (if required).
Plastic surgeries
Plastic surgeries were categorized as minor surgeries and major surgeries. Minor plastic surgeries were performed under local anesthesia of 2% lidocaine with adrenaline. Major plastic surgeries were performed under general anesthesia with propofol.
Professional-led trauma services
Nurse-led trauma services (NLTS)
The NLTS model is a comprehensive nursing intervention where nurses are not merely assistants but active participants throughout the surgical cycle. During the operation, nurses cooperate with surgeons through highly specialized “precision operations”. This includes [5]:
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Proactive Technical Assistance: In NLTS, the nurse anticipates surgical needs based on real-time trauma assessment, ensuring that specialized plastic surgery instruments and dressings are prepared without surgeon prompting.
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Real-Time Vital Sign and Emergency Management: Nurses in this model have the autonomy to monitor vital signs in real-time and independently initiate interventions for emergencies, such as managing drainage tube blockages or identifying early signs of shock, allowing the surgeon to focus exclusively on the reconstructive procedure.
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Collaborative Pain Management: Intraoperative nursing includes the administration of multimodal analgesia protocols designed in collaboration with surgeons to ensure seamless transition to postoperative recovery.
In addition to intraoperative cooperation, the NLTS model integrated specialized wound healing technologies and recovery protocols. This included the standardized use of nano-silver antibacterial dressings and moist healing technology for trauma-induced skin defects. Furthermore, NLTS nurses implemented early-activity guidance and personalized nutritional support protocols to mitigate the risk of deep vein thrombosis (DVT) and pressure sores during the postoperative period [3, 5, 18, 19].
Traditional trauma services (TTS)
To address concerns regarding standard practice, it is clarified that in the TTS model, nurses do perform fundamental clinical tasks including vital sign monitoring and standard wound care. However, these tasks are strictly dictated by standardized physician-led protocols [14].
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Limited Autonomy: Unlike NLTS, nurses in the TTS model have limited proactive decision-making power.
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Instruction-Based Care: Clinical actions such as pain management and psychological support rely almost entirely on specific doctor’s instructions rather than an integrated, nurse-led assessment system. This often leads to a “rigid process” where nursing response speed may be slower in complex trauma cases like chronic wounds or major burn repairs.
Patients in the NLTS cohort received standardized wound care utilizing nano-silver antibacterial dressings as part of the specialized nursing protocol. In contrast, the TTS cohort received conventional wound care using standard sterile dressings. This distinction in wound management materials was a protocol-specific feature of the NLTS intervention.
Patient allocation and bias mitigation
Patients were allocated to either the NLTS or the TTS cohorts based on the specific clinical workflow and staffing model active at the time of admission. This allocation was primarily determined by the duty schedule of the specialized nursing teams; patients admitted during shifts where the integrated NLTS nursing team was operational were assigned to the NLTS group, while those admitted during standard surgeon-led shifts were assigned to the TTS group.
To mitigate potential selection bias inherent in this non-randomized approach, allocation was independent of injury severity, patient demographics, or pre-existing comorbidities. Statistical comparability between the cohorts was further verified by analyzing baseline clinical characteristics, including injury etiology and surgical complexity. This study was reported in accordance with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines to ensure transparency and standardized reporting of the cohort outcomes.
Outcome measure
Preventable trauma mortality
This refers to injury-related deaths occurring due to traumatic insults that are deemed survivable. Such fatalities are characterized by the presence of anatomical injuries that are not necessarily fatal, but where death ensues due to suboptimal clinical management, delays in triage, or failures in the delivery of “best practice” care within the trauma system [8, 10]. The objective of modern integrated trauma care systems is to achieve “zero preventable deaths” by optimizing the timing and quality of surgical and resuscitative interventions [20, 21].
Non-preventable (non-trauma) mortality
This refers to fatalities following traumatic injury or other medical etiologies where death is deemed inevitable despite the provision of optimal, timely, and high-standard medical care [10]. These cases typically involve physiological exhaustion or anatomical injuries so severe (e.g., massive non-survivable brain injury or complete aortic disruption) that current medical technology and “best care” protocols cannot alter the outcome [11]. In a retrospective population-based cohort analysis, these are often categorized as injury-related deaths where no corrective actions could have reasonably prevented the expiration [8].
Primary outcome measures
Ready for plastic surgeries
The time when patients were ready for plastic surgeries for minor and/ or major surgeries was noted and analyzed. Here time was graded as patients ready for plastic surgeries on the same day or the very next day, or on letter period for minor and major surgeries. This was considered for the first surgeries (minor or major surgeries).
Secondary outcome measures
Post-operative complications
Immediate post-operative complications (during hospital stays) including post-operative pain were evaluated by assessment of collections of data from hospital records.
Post-operative pain
A visual analog scale (VAS) score was used to measure post-operative pain. VAS scale ranges from 0 to 10. 0: absent pain and 10: maximum worse pain [20].
Satisfaction of patients
Satisfaction of patients and their caregivers was evaluated after follow-up (at least 6 months). Our institute has its format for the satisfaction of patients and their caregivers. Where 0: is dissatisfaction, 0.5: is partially dissatisfaction with any particular service or person, 1: is satisfied, 1.5: fully satisfied, and 2 is extremely satisfied. The scale was available from 0 to 2. The higher the score the higher was satisfaction of patients and their caregivers. This standardized scale has been previously utilized to assess service quality and person-centered care in emergency trauma settings [8, 10, 22].
Statistical analysis
Statistical analysis was performed using InStat v3.01 (GraphPad Software, San Diego, CA, USA). Categorical variables are expressed as frequencies and percentages. Continuous variables were assessed for normality using the Kolmogorov–Smirnov test; normally distributed data are presented as mean ± standard deviation (SD), while non-normal data are presented as median with interquartile range (IQR; Q3–Q1). Median and quartile values were determined using the Quartile Calculator (CalculatorsoupⓇ LLB, USA).
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Categorical endpoints, including postoperative complications and surgical readiness, were analyzed using the Chi-square (χ2) test or Fisher’s exact test as appropriate. Risk Ratios (RRs) with 95% CIs were calculated for individual clinical parameters. To maintain clinical and statistical integrity, all outcomes were analyzed as independent endpoints without aggregate pooling of physiologically distinct data.
The primary efficiency metric, surgical readiness, was defined as the proportion of patients prepared for surgery within 24 h of admission and compared between cohorts using the χ2 test to assess time-to-treatment differences. Continuous non-normal data, such as satisfaction scores and hospital stay duration, were compared using the Mann-Whitney U-test. Statistical significance was defined as p < 0.05.
Graphical representations were generated using the Grabstract AI Flowchart Generator (Grabstract, London, UK). Linguistic refinement and academic optimization were facilitated by the Gemini 3 Pro AI model (Google DeepMind, Alphabet Inc., USA).
Results
Study populations
Between July 1, 2018, and December 6, 2024, a total of 248 patients were admitted to the Department of Plastic Surgery at Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, China, following traumatic injuries. Although 255 patients were initially screened, seven were excluded from the final analysis: two did not undergo any form of plastic surgery (minor or major) during the course of treatment, and complete medical records were unavailable for five patients. Thus, 248 patients were included in the present retrospective study. Data extracted from electronic institutional medical records included mortality status, time to surgical readiness (for both minor and major procedures), postoperative complications, and patient satisfaction. The study design and patient selection process are illustrated in the retrospective flow diagram (Fig. 1).
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Fig. 1
The retrospective flow chart of the study
Demographic and clinical characteristics
Of the enrolled patients, approximately two-thirds were male and one-third female, with ages ranging from 20 to 58 years. The predominant cause of admission was accidental trauma, followed by falls, burns, physical assaults, and acid-related injuries. Surgical intervention was stratified by anesthesia type: 84% of patients underwent minor procedures under local anesthesia, while 16% required major surgeries under general anesthesia, based on clinical indications.
No statistically significant differences were observed between the NLTS and TTS cohorts in terms of gender distribution, age, injury etiology, or surgical classification at the time of admission (all p-values > 0.05). Detailed demographic and clinical parameters are summarized in Table 1.
Table 1
Demographical and clinical parameters of the enrolled patients
Parameters | Total | Cohorts | Comparisons between cohorts | |||||
|---|---|---|---|---|---|---|---|---|
Trauma-care | Healthcare professional-led | Nurse-led | Traditional | |||||
NLTS | TTS | |||||||
Numbers of patients | 248 | 107 | 141 | p-value | Df | Test value | %95 CI | |
Gender | Male | 163(66) | 65(61) | 98(70) | 0.192 (χ2-test with Yate’s correction) | 1 | 1.7 | 0.6063 to 1.074 |
Female | 85(34) | 42(39) | 43(30) | |||||
Age (years) | 44(48–38) | 43(46–39) | 45(49.5–37) | 0.154 (Mann–Whitney test) | N/A | 6,745 | N/A | |
Ethnicity | ||||||||
Han Chinese | 227(91) | 98(91) | 129(91) | 0.991 (χ2-test with independence) | 3 | 0.1035 | N/A | |
Mongolian | 17(7) | 7(7) | 10(7) | |||||
Tibetan | 2(1) | 1(1) | 1(1) | |||||
Uyghurs Muslim | 2(1) | 1(1) | 1(1) | |||||
Reasons for injuries | ||||||||
Accident | 157(63) | 63(58) | 94(66) | 0.661 (χ2-test with independence) | 4 | 2.41 | N/A | |
Fall | 61(25) | 31(29) | 30(21) | |||||
Burn | 18(7) | 7(7) | 11(8) | |||||
Assaulted | 10(4) | 5(5) | 5(4) | |||||
Acid attack | 2(1) | 1(1) | 1(1) | |||||
Undergoing plastic surgeries | ||||||||
Minor | 209(84) | 92(86) | 117(83) | 0.599 (Fisher’s exact test) | N/A | 1.144 | 0.7479 to 1.752 | |
Major | 39(16) | 15(14) | 24(17) | |||||
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Outcome measures
Overall, 96% of patients were deemed ready for plastic surgery on the same day of admission. Notably, all patients in the NLTS cohort met same-day surgical readiness criteria, a proportion significantly higher than that observed in the TTS cohort. The TTS cohort exhibited a greater incidence of immediate postoperative complications, particularly nausea, compared to the NLTS group.
Surgical readiness and clinical efficiency
In terms of surgical efficiency, 100% (107/107) of patients in the NLTS cohort achieved same-day surgical readiness. In comparison, 94% (133/141) of the TTS cohort were ready for surgery on the day of admission, with 6% experiencing delays until the following day or later (p = 0.043). This standard time-to-treatment metric suggests an improvement in coordination efficiency within the nurse-led model compared to traditional services. However, given the observational nature of this cohort study, these results should be interpreted as a potential benefit of specialized nursing autonomy rather than a definitive causal outcome.
Duration of hospitalization
The implementation of the NLTS model significantly impacted the duration of inpatient care. Patients in the NLTS cohort experienced a median hospital stay of 8 days (Q3–Q1: 10–6), which was significantly shorter than the 11 days (Q3–Q1: 14–9) observed in the TTS cohort (p < 0.001). This reduction of approximately 3 days suggests a higher efficiency in recovery and wound management under nurse-led leadership. The observed reduction of approximately three days in the NLTS cohort suggests a higher efficiency in recovery; however, this outcome is interpreted as a combined result of the proactive nurse-led clinical pathway and the standardized application of nano-silver dressings.
Postoperative complications and risk analysis
Individual risk analysis for postoperative complications revealed that patients in the NLTS cohort had a significantly lower risk of experiencing nausea compared to the TTS cohort (RR 0.59; 95% CI: 0.45–0.92). While risks for other complications such as vomiting (RR 0.52; 95% CI: 0.19–1.42) and dizziness (RR 0.72; 95% CI: 0.49–1.06) were lower in the NLTS group, these did not reach the threshold for statistical significance. Postoperative infections were documented in 10 patients (4%), with no significant difference in infection rates between the NLTS and TTS cohorts.
Immobilization-related trauma and safety
Regarding resource-related complications, the NLTS cohort reported zero instances of DVT or pressure sores. In contrast, the TTS cohort had three documented cases of DVT (2.1%) and two cases of stage I pressure sores (1.4%). While the difference did not reach statistical significance (p = 0.072), the trend suggests that the proactive technical assistance and early activity protocols inherent to the NLTS model may provide superior protection against secondary immobilization-related trauma. No preventable trauma mortality or non-preventable mortality was reported in either cohort.
Patient-reported outcomes and satisfaction
Postoperative pain scores, assessed using the VAS, ranged from 3 to 7 across both cohorts. No statistically significant difference in pain levels was detected between groups. However, patient and caregiver satisfaction scores were higher in the NLTS cohort relative to the TTS cohort.
Data analysis strategy
A comprehensive summary of pre- and post-operative outcome measures is provided in Table 2. All outcome measures were analyzed as independent endpoints. Due to the physiological and clinical distinctions between objective complications (e.g., infection) and subjective metrics (e.g., satisfaction), no aggregate pooling of data was performed, ensuring a more granular understanding of the specific strengths of each trauma-care model.
Table 2
Pre-and post-operative outcome measure
Parameters | Total | Cohorts | Comparisons between cohorts | ||||
|---|---|---|---|---|---|---|---|
Trauma-care | Healthcare professional-led | Nurse-led | Traditional | ||||
NLTS | TTS | ||||||
Numbers of patients | 248 | 107 | 141 | p-value | Df | Test value | %95 CI |
Ready for plastic surgeries | |||||||
On the same day | 240(96) | 107(100) | 133(94) | 0.043 (χ2-test with independence) | 2 | 6.273 | 1.018 to 1.104 |
On the very next day | 7(3) | 0(0) | 7(5) | ||||
On letter period | 1(1) | 0(0) | 1(1) | ||||
Immediate post-operative complications | |||||||
Nausea | 80(32) | 25(23) | 55(39) | 0.009 (χ2-test) | 1 | 6.812 | 0.4466 to 0.9178 |
Vomiting | 13(5) | 3(3) | 10(7) | 0.159 (Fisher’s exact test) | N/A | 0.5214 | 0.1912 to 1.422 |
Dizziness | 60(24) | 20(19) | 40(28) | 0.099 (Fisher’s exact test) | N/A | 0.7203 | 0.4878 to 1.064 |
Restlessness | 9(4) | 1(1) | 8(6) | 0.08 (Fisher’s exact test) | N/A | 0.2505 | 0.03924 to 1.599 |
Post-operative pain (VAS score, median (IQR)) | 5(5–4) | 5(5–4) | 5(6–4) | 0.355 (Mann–Whitney test) | N/A | 7,029 | N/A |
Satisfaction score of patients and/or caregivers, median (IQR) | 1(1–1) | 1(1–1) | 1(1–0.5) | < 0.001 (Mann–Whitney test) | N/A | 4,762 | N/A |
Postoperative infection | 10(4) | 3(3) | 7(5) | 0.522 (Fisher’s exact test) | N/A | 0.6865 | 0.2634 to 1.789 |
Hospital stays (days, median (IQR)) | 10(12–8) | 8(10–6) | 11(14–9) | < 0.001 (Mann–Whitney test) | N/A | 4,128 | N/A |
DVT and pressure Sores | 5(2) | 0(0) | 5(4) | 0.072 (Fisher’s exact test) | N/A | 0 | -Infinity to Infinity |
Statistical assumption testing
Statistical validity was ensured through rigorous assumption testing of all variables (Table 3). Categorical parameters, including demographics (Table 1), surgical readiness, and complications (Table 2), were analyzed using Fisher’s exact or χ2 tests; Yates’s correction was applied to 2 × 2 tables with small cell frequencies. Normality testing confirmed that all continuous variables—age, VAS pain scores, satisfaction, and hospital stay—deviated significantly from normal distributions (p < 0.05 or p < 0.1). Consequently, the two-tailed Mann–Whitney U-test was employed to compare medians and IQR between the NLTS and TTS cohorts.
Table 3
The results of the assumptions test adopted in the study
Variable Category | Parameters evaluated | Assumption test results | Statistical test applied |
|---|---|---|---|
Categorical | Gender, Ethnicity, Injury Reasons, Surgical Readiness, Complications | Sample size per cell and total N requirements | Fisher’s exact test or Chi-square test (with Yates’s correction for 2 × 2 tables) |
Continuous | Age (years) | Non-normal distribution (p = 0.0283 and 0.0096) | Two-tailed Mann–Whitney U-test |
Post-operative pain (VAS score) | Non-normal distribution (p < 0.0001) | Two-tailed Mann–Whitney U-test | |
Satisfaction score | Non-normal distribution (p < 0.0001) | Two-tailed Mann–Whitney U-test | |
Hospital stays (days) | Non-normal distribution (p < 0.1) | Two-tailed Mann–Whitney U-test |
Discussion
The evolution of trauma care in China has necessitated a shift toward integrated, multi-professional models to manage the increasing complexity of hospitalized cases [1]. Our study demonstrates that the implementation of NLTS in plastic surgery significantly optimizes clinical efficiency, achieving 100% same-day surgical readiness compared to 94% in the TTS cohort. By analyzing outcomes independently, we observed that the NLTS model’s primary strengths lie in peri-operative coordination (readiness and stay duration) and specific symptom management (nausea reduction), rather than a global reduction in all surgical risks. This distinction is crucial for identifying where nurse-led interventions provide the most significant clinical utility. This finding is particularly relevant given the high volume of traumatic injuries, such as upper limb fractures and degloving soft tissue injuries, which require rapid triage and surgical intervention to prevent long-term disability and high economic burdens on the healthcare system [2, 3]. By empowering nurses to take an active role in peri-operative strategy and resuscitation, the NLTS model aligns with global efforts to achieve “zero preventable deaths” by integrating specialized clinical skills into the immediate trauma response [11, 20].
The significant reduction in median hospital stay—from 11 days in the TTS cohort to 8 days in the NLTS cohort—highlights the efficacy of nurse-managed protocols in streamlining recovery. This reduction of approximately three days is comparable to improvements seen in tertiary plastic surgery units that restructured their services during the COVID-19 pandemic to prioritize local anesthetic pathways and telemedicine for skin cancer care [4, 7]. In our NLTS model, nurses not only facilitated faster surgical readiness but also implemented advanced wound healing technologies and proactive nutritional support. This proactive technical assistance is a hallmark of “fundamental care,” where nurses prioritize the physical and psychosocial needs of the patient to prevent the secondary complications often associated with prolonged immobilization [22].
Postoperative complication rates, specifically nausea, were significantly lower in the NLTS group (23% vs. 39%). This suggests that the continuous presence and specialized monitoring provided by NLTS nurses allow for more precise titration of postoperative care and quicker response to early signs of shock or distress [11]. Furthermore, the lack of a significant difference in infection rates (4% overall) indicates that the NLTS model maintains high standards of surgical safety while accelerating throughput. Such findings underscore the scientificity and applicability of modern Chinese nursing guidelines, which emphasize evidence-based wound care and sepsis prevention in plastic and burn surgery [6, 19]. While infection rates were comparable between the two groups (3% in NLTS vs. 5% in TTS, p = 0.522), these results must be interpreted with caution. The integration of advanced materials, such as nano-silver dressings, into the NLTS protocol may have masked or augmented the clinical efficacy of the nursing service in preventing surgical site infections [6]. Effective communication and therapeutic relationships between nurses and patients further contribute to these improved outcomes by reducing patient anxiety and enhancing adherence to recovery protocols [15, 17].
Regarding overall postoperative morbidity, the NLTS cohort exhibited contrasting clinical trends. While there were zero reported instances of DVT and pressure sores in the NLTS group compared to a 4% incidence in the TTS group, this trend toward improved immobilization safety did not reach statistical significance (p = 0.072) [5, 18]. Conversely, the incidence of postoperative infection was slightly higher in the NLTS cohort (3% vs. 5% in TTS; p = 0.522), though this also remained statistically non-significant [19]. These divergent trends suggest that while the nurse-led focus on early mobilization and pressure relief may mitigate certain secondary traumas, the overall impact on morbidity—including infection—requires further validation in larger, powered studies [10, 20]. Consequently, these findings should be interpreted with caution as indicative of potential clinical trends rather than definitive safety outcomes [14, 23].
In our study, we found that the NLTS model significantly optimized the surgical cycle. Our study utilizes same-day surgical readiness as a proxy for time-to-treatment, a standard metric in emergency medicine. In this study population, the NLTS model was associated with 100% surgical readiness highlights the effectiveness of specialized nursing in managing the ‘pre-operative bottleneck.’ By focusing on these standardized time-to-treatment outcomes, the clinical utility of the nurse-led service becomes more evident to practitioners in the trauma field. This efficiency is further reflected in the significantly shorter hospital stays observed in the NLTS group.
Finally, the significantly higher satisfaction scores among patients and caregivers in the NLTS group (p < 0.001) reflect the value of the empathetic and communicative nature of nurse-led care. The attachment styles and empathy levels of healthcare workers are known to directly influence patient outcomes and their perception of care quality [15, 24]. By integrating nurses into the leadership of the trauma cycle, the NLTS model ensures that patient education and emotional support are prioritized alongside technical surgical goals. This holistic approach, combined with the use of digital health platforms for continuing care, ensures a seamless transition from the emergency department to postoperative recovery [23, 25]. The NLTS model thus stands as a transformative framework for modern plastic surgery trauma services.
While the outcomes of this study demonstrate significant clinical improvements, this work should be considered exploratory in nature. Given its retrospective and non-randomized design, these findings provide a preliminary evaluation of the NLTS model’s potential benefits rather than definitive evidence of superiority. The greatest value of this research lies in its capacity to generate evidence-based hypotheses regarding the role of nursing autonomy in trauma outcomes. Specifically, it highlights the need for further investigation into how nurse-led organizational structures interact with advanced clinical technologies to optimize recovery. This exploratory data serves to motivate future research using more rigorous, controlled, and ideally blinded study designs to establish causal relationships in nurse-managed trauma care.
The present study has several limitations that warrant consideration. First, the retrospective nature of the investigation may introduce selection bias, as patients were not randomized to the NLTS or TTS cohorts. This lack of randomization potentially leads to differences in injury severity—such as complex degloving or multi-system trauma—that may not have been fully captured by the broad demographic data provided [1, 3]. Although the distribution of major and minor surgeries was statistically similar, satisfaction and hospital stay duration may be more dependent on the inherent complexity of the injury rather than the care model itself [2, 21]. Second, a significant confounding variable exists regarding the materials used for wound management. The NLTS cohort exclusively utilized nano-silver antibacterial dressings, which possess well-documented antimicrobial properties. Because the TTS cohort did not receive these specific dressings, it is impossible to isolate the degree to which the low infection rates in the NLTS group were due to the specialized nursing service model versus the specific dressing material itself [19]. Future studies should aim to standardize dressing materials across cohorts to more accurately assess the independent impact of the nursing model on surgical site infections.
Third, the study was conducted at a single tertiary emergency center in China, which may limit the generalizability of these results to community hospitals or systems with different staffing levels and resource availability [1, 25]. Fourth, while the sample size of 248 was statistically sufficient for primary outcomes, it may have been underpowered to detect significant differences in rare but critical complications, such as DVT, postoperative infection, or preventable mortality [8, 21]. Fifth, the evaluation of “satisfaction” was based on institutional scores, which may lack the granularity and validated psychometric depth of instruments used in modern behavioral economic health interventions [9]. Sixth, the study focused predominantly on short-term inpatient recovery metrics; long-term functional and aesthetic outcomes—which are essential indicators of success in reconstructive plastic surgery—were not assessed [18, 26]. Finally, the variability in individual skill levels, attachment styles, and therapeutic communication abilities of the nurses involved, as well as the nuances of traditional doctor-led workflows, may have introduced performance heterogeneity that the retrospective design could not fully control [15, 24]. Such variance in individual care delivery is an established factor influencing patient outcomes in emergency settings [17, 22].
Conclusions
This study suggests that a nurse-led trauma service model is associated with improved efficiency and quality of care for patients requiring emergency plastic surgery. By achieving higher rates of same-day surgical readiness and significantly reducing hospital stay durations, the NLTS model appears to optimize resource utilization and facilitate faster clinical throughput. However, it is important to note that these improvements—particularly the reduction in inpatient days—likely result from the synergistic impact of the proactive nurse-led organizational structure and the advanced wound care materials (nano-silver dressings) integrated into the service protocol.
While these results are promising, they must be interpreted with caution given the retrospective design, which cannot isolate the individual contribution of nursing leadership from the specific technical interventions used. Future research should prioritize multi-arm prospective trials to differentiate these variables across diverse clinical settings. Strengthening specialized trauma training programs and simulation-based interventions for nurses will be essential to sustain such high-efficiency care models. Ultimately, integrating specialized nursing roles into the trauma cycle offers a promising framework for improving global surgical outcomes and achieving the goal of zero preventable complications.
Acknowledgements
The authors are thankful to the medical and non-medical staff of the Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, China.
Declarations
Ethics approval and consent to participate
The study protocols were developed by the authors and received formal approval from the Institutional Review Board (IRB) of the Chongqing University Central Hospital, Chongqing Emergency Medical Center and the Chinese Academy of Medical Sciences (Protocol No. APxvbM15bt; June 15, 2018). This investigation was conducted in strict accordance with the laws of the People’s Republic of China and the 2008 Revision of the Declaration of Helsinki. Given the retrospective nature of the study and the use of de-identified data, the requirement for informed consent for both participation and publication were formally waived by the aforementioned review boards.
Declaration
All the data and related metadata underlying the reported findings already provided as part of the submitted article. There are no supplementary files (supplementary tables, supplementary figures, and others) referred to in the manuscript. Therefore, there are nothing to deposit in appropriate public data repositories.
Consent for publication
Not applicable.
Declaration of figures authenticity
All figures submitted have been created by the authors who confirm thatthe images are original with no duplication and have not been previously published in whole or in part.
Competing interests
The authors declare no competing interests.
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