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. 2024 Mar 12;21(3):e14657. doi: 10.1111/iwj.14657

Effects of clinical nursing pathway on the surgical site wound infection in patients undergoing knee or hip replacement surgery: A meta‐analysis

Zhifeng Huang 1, Yuanli Li 2, Jing Peng 1, Hao Wang 3, Kai Shen 4, Ya Li 5,, Keping Yu 6,
PMCID: PMC10932801  PMID: 38472128

Abstract

To explore the effect of clinical nursing pathway on wound infection in patients undergoing knee or hip replacement surgery. Computerised searches of PubMed, Web of Science, Cochrane Library, Embase, Wanfang, China Biomedical Literature Database, China National Knowledge Infrastructure databases were conducted, from database inception to September 2023, on the randomised controlled trials (RCTs) of application of clinical nursing pathway to patients undergoing knee and hip arthroplasty. Literature was screened and evaluated by two researchers based on inclusion and exclusion criteria, and data were extracted from the final included literature. RevMan 5.4 software was employed for data analysis. Overall, 48 RCTs involving 4139 surgical patients were included, including 2072 and 2067 in the clinical nursing pathway and routine nursing groups, respectively. The results revealed, compared with routine nursing, the use of clinical nursing pathways was effective in reducing the rate of complications (OR = 0.17, 95%CI: 0.14–0.21, p < 0.001) and wound infections (OR = 0.29, 95%CI: 0.16–0.51, p < 0.001), shortens the hospital length of stay (MD = −4.11, 95%CI: −5.40 to −2.83, p < 0.001) and improves wound pain (MD = −1.34, 95%CI: −1.98 to −0.70, p < 0.001); it also improve patient satisfaction (OR = 7.13, 95%CI: 4.69–10.85, p < 0.001). The implementation of clinical nursing pathways in clinical care after knee or hip arthroplasty can effectively reduce the incidence of complications and wound infections, and also improve the wound pain, while also improving treatment satisfaction so that patients can be discharged from the hospital as soon as possible.

Keywords: arthroplasty, clinical nursing pathway, meta‐analysis, pain, wound infection

1. INTRODUCTION

Osteoarthritis is a degenerative disease of the joints that primarily involves the hip and knee joints. 1 According to the World Health Organisation, by 2050, bone and joint diseases may cause disability in nearly 25% of the world's population. 2 Degenerative osteoarthritis can be diagnosed by physical examination in nearly 80% of elderly patients aged 60 and above, and 20% of these patients are already suffering from disability. 2 Total hip arthroplasty and total knee arthroplasty are effective treatments for end‐stage hip and knee diseases, respectively, and the replacement surgeries can effectively relieve pain, improve joint function, and enhance patients' quality of life. 3 Arthroplasty is an implantable surgery, which causes greater trauma and requires patients to lie down for a long period of time after the surgery, therefore, it is easy to induce a variety of undesirable complications, and high‐quality nursing services can reduce the incidence of complications and promote the recovery of patients. 4 If these situations occurring in the perioperative period are not effectively improved and solved, they will inevitably affect the smooth progress of surgery and the postoperative recovery of patients.

With the continuous development of modern medical models, the establishment of standardised, scientific, coherent and continuous quality nursing service is the inevitable trend of nursing development. As a new nursing model, clinical nursing pathway can clarify the strictness and accuracy of nursing work, reduce the blindness and arbitrariness in nursing work, improve the quality of nursing care, and standardise the role of medical behaviour. Clinical nursing pathway refers to the nursing mode of patients during hospitalisation, which is a schedule planner made for patients with the horizontal axis of time and the vertical axis of nursing means such as admission guidance, assessment and diagnosis, examination and medication, treatment and nursing care, dietary guidance and health education. 5 In recent years, there have been more and more studies on the application of clinical nursing pathway in the perioperative period of knee and hip arthroplasty, but there is a lack of relevant comprehensive evidence to support it. We therefore conducted this study to investigate the effect of clinical nursing pathway applied to knee or hip arthroplasty patients on their postoperative wound infection, pain and complications via meta‐analysis, so as to provide an effective evidence‐based basis for clinical work.

2. MATERIALS AND METHODS

2.1. Literature search

Computerised searches of PubMed, Web of Science, Cochrane Library, Embase, Wanfang, China Biomedical Literature Database, China National Knowledge Infrastructure databases were conducted, from database inception to September 2023, on the randomised controlled trials (RCTs) of application of clinical nursing pathway to patients undergoing knee and hip arthroplasty. The following keywords were used for the search: clinical nursing pathway, joint replacement. A combination of subject terms and free words was used for the search.

2.2. Inclusion and exclusion criteria

Inclusion criteria: (1) participants: patients undergoing knee and hip arthroplasty; (2) intervention: patients in the experimental group received clinical nursing pathways, and patients in the control group received routine care; (3) study design: RCTs; (4) outcomes: complications, wound infections, satisfaction, hospital length of stay, wound pain score (evaluated by visual analogue scale). Exclusion criteria: (1) literature of non‐RCTs; (2) studies for which the full text was not available; (3) conferences, abstracts, reviews, animal experiments, or repetitively published studies.

2.3. Data extraction and quality assessment

Literature was screened by two researchers independently according to the inclusion and exclusion criteria, and any disagreements were discussed and resolved with a third researcher. Extracted information included: first author, year of publication, sample size, age and sex. RCTs were assessed for quality using the Cochrane Risk of Bias Assessment Tool version 6.0, including randomisation methods, blinding, allocation concealment, data completeness, publication bias and other biases.

2.4. Statistical analyses

RevMan 5.4 software was employed for data analysis. Dichotomous variables were expressed as odds ratio (OR) and its 95% confidence interval (CI), and continuous variables were expressed as mean difference (MD) and its 95%CI. The I 2 and χ 2 tests were applied to determine whether there was heterogeneity; if I 2 > 50% and p < 0.1, it indicated significant heterogeneity, and a random‐effects model was applied; otherwise, a fixed‐effects model was applied. The robustness of the results was assessed by sensitivity analysis. Potential publication bias was assessed by drawing funnel plots.

3. RESULTS

3.1. Study characteristics

The literature screening process is shown in Figure 1. By searching relevant databases, a total of 431 relevant literatures were obtained, which were imported into Endnote X9, a literature management system, for duplicate screening, and 259 duplicate literatures were removed; secondly, by checking the titles and abstracts of the literatures, 106 literatures that were not relevant to the study were removed; and finally, by reading the full text of the literature, 48 RCTs were finally included. 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 The basic characteristics of the included literature are shown in Table 1, with a total of 4139 patients, including 2072 and 2067 in the clinical nursing pathway and routine nursing groups, respectively. The quality assessment of the included literature is shown in Figure 2.

FIGURE 1.

FIGURE 1

Literature screening flowchart.

TABLE 1.

Baseline characters of included studies.

Author Year No. of patients Age (years) Sex (male/female)
Experimental group Control group Experimental group Control group Experimental group Control group
Chen(a) 2021 39 39 56.7 ± 5.9 55.4 ± 6.1 22/17 20/19
Chen(b) 2020 40 40 46.45 ± 7.19 44.21 ± 7.60 23/19 22/20
Chen(c) 2019 69 68 72.19 ± 7.08 72.31 ± 6.17 31/38 29/39
Cheng 2019 40 40 68.78 ± 5.73 67.94 ± 5.34 27/13 25/15
Dang 2015 50 50 54.50 ± 6.27 48/62
Deng(a) 2018 45 45 63.18 ± 3.67 64.02 ± 3.29 23/22 24/21
Deng(b) 2018 40 40 65.59 ± 10.16 65.68 ± 10.21 20/20 22/18
Gan 2016 34 34 52.3 ± 2.6 51.6 ± 3.4 22/12 19/15
Gao 2019 45 45 54.11 ± 2.15 54.24 ± 2.02 27/18 28/17
Guo(a) 2020 30 30 60.12 (49–68) 38/22
Guo(b) 2022 40 40 50.59 ± 5.17 50.43 ± 5.06 24/16 23/17
Hou 2019 44 44 64.71 ± 4.32 64.77 ± 4.38 17/27 20/24
Huang 2017 34 34 74.58 ± 1.62 74.64 ± 1.53 19/15 18/16
Jin 2021 35 35 55.85 ± 1.38 55.99 ± 1.42 28/7 29/6
Li 2009 40 40 63 (46–80) 22/58
Liu(a) 2022 50 50 60–75 25/25 26/24
Liu(b) 2017 41 40 61.7 ± 5.5 61.2 ± 5.2 26/15 26/14
Liu(c) 2016 50 50 71.9 ± 5.8 70.7 ± 5.4 23/27 21/29
Ma(a) 2016 53 53 61.82 ± 8.74 61.45 ± 10.72 28/25 27/26
Ma(b) 2014 45 45 73.5 (61–93) 48/42
Ma(c) 2014 37 37 68.24 + 8.63 46/28
Pan 2019 8 8 73.1 ± 1.3 73.2 ± 1.2 4/4 5/3
Song(a) 2017 48 47 65.1 ± 4.3 65.5 ± 4.0 23/25 20/27
Song(b) 2017 30 30 65.86 ± 3.22 35/25
Sun(a) 2019 30 30 74.1 ± 2.3 73.3 ± 2.6 9/21 11/19
Sun(b) 2011 48 48 70.0 ± 2.6 46/50
Tang 2018 20 20 67.5 ± 5.3 68.9 ± 5.8 12/8 11/9
Wang(a) 2017 42 40 73.2 ± 7.1 77.5 ± 7.2 28/14 25/15
Wang(b) 2022 45 45 68.6 67.8 14/31 18/27
Wang(c) 2016 34 34 64.8 66.5 21/13 24/10
Wu(a) 2019 32 32 77.2 ± 3.4 76.1 ± 3.5 17/15 16/16
Wu(b) 2019 43 43 71.52 ± 6.41 71.67 ± 6.54 24/19 26/17
Xiao 2016 45 45 71.7 ± 5.5 70.9 ± 5.7 23/22 24/21
Xu 2020 48 48 70.50 ± 23.33 71.00 ± 24.01 26/22 28/20
Yang 2017 40 40 54.32 ± 4.35 55.12 ± 4.51 18/22 19/21
Yin(a) 2022 42 42 70.74 ± 8.74 69.84 ± 9.21 17/25 16/26
Yin(b) 2020 55 55 58.2 ± 4.91 59.8 ± 5.24 27/28 29/26
Yi 2017 123 123 35–88 40/206
Yu 2022 40 40 68.95 ± 1.61 69.45 ± 1.58 25/15 23/17
Yuan 2022 50 50 59.35 ± 8.42 58.23 ± 8.31 20/30 22/28
Zhang(a) 2020 51 51 64.71 ± 6.21 63.12 ± 4.69 24/27 23/28
Zhang(b) 2018 44 44 72.15 ± 3.24 71.83 ± 3.16 23/21 24/20
Zhang(c) 2017 36 36 69.45 ± 3.26 69.37 ± 3.18 20/16 19/17
Zheng(a) 2017 40 40 55.2 ± 10.3 56.4 ± 10.1 18/22 20/20
Zheng(b) 2017 50 50 76.3 (62–87) Not reported
Zhong 2020 40 40 66.88 ± 5.62 65.53 ± 5.44 26/14 25/15
Zhu 2023 42 42 71.23 ± 9.56 71.74 ± 9.23 25/17 24/18
Zhuang 2015 45 45 77.8 ± 7.3 29/61

FIGURE 2.

FIGURE 2

The risk of bias graph of the included studies.

3.2. Complications

Complications were reported in all RCTs. There were 2072 cases in the clinical nursing pathway group, of which 131 patients had complications, for a complication rate of 6.32%, and 2067 cases in the routine care group, of which 556 patients had complications, for a complication rate of 26.89%. No significant heterogeneity was found (p = 1.00, I 2 = 0%), and a fixed‐effects model was applied. In terms of postoperative complications, the clinical nursing pathway group had a significantly lower incidence than the routine care group (OR = 0.17, 95%CI: 0.14–0.21, p < 0.001; Figure 3).

FIGURE 3.

FIGURE 3

The forest plots of complications.

3.3. Wound infections

Seventeen RCTs reported wound infections. There were 732 cases in the clinical nursing pathway group, of which 13 patients developed wound infections, an incidence of 1.78%, and 731 cases in the routine care group, of which 49 patients developed wound infections, an incidence of 6.71%. No significant heterogeneity was found (p = 1.00, I 2 = 0%), and a fixed‐effects model was applied. In terms of wound infection, the clinical nursing pathway group had a significantly lower incidence than the routine care group (OR = 0.29, 95%CI: 0.16–0.51, p < 0.001; Figure 4).

FIGURE 4.

FIGURE 4

The forest plots of wound infections.

3.4. Hospital length of stay

Twenty‐three RCTs reported the hospital length of stay. About 1022 in the clinical nursing pathway group and 1019 in the routine care group. Significant heterogeneity was found (p = 1.00, I 2 = 0%), and a random‐effects model was applied. In terms of the hospital length of stay, the clinical nursing pathway group was significantly shorter than the routine care group (MD = −4.11, 95%CI: −5.40 to −2.83, p < 0.001; Figure 5).

FIGURE 5.

FIGURE 5

The forest plots of hospital length of stay.

3.5. Satisfaction rate

Sixteen RCTs reported patient satisfaction. There were 701 cases in the clinical nursing pathway group, of which 674 patients were satisfied, with a satisfaction rate of 96.15%, and 701 cases in the routine care group, of which 538 patients were satisfied, with a satisfaction rate of 76.75%. No significant heterogeneity was found (p = 1.00, I 2 = 0%), and a fixed‐effects model was applied. In terms of satisfaction rate, the clinical care pathway group was significantly more satisfied than the routine care group (OR = 7.13, 95%CI: 4.69–10.85, p < 0.001; Figure 6).

FIGURE 6.

FIGURE 6

The forest plots of satisfaction rate.

3.6. Wound pain scores

Six RCTs reported wound pain scores. About 319 in the clinical nursing pathway group and 319 in the routine care group. Significant heterogeneity was found (p < 0.001, I 2 = 97%), and a random‐effects model was applied. In terms of wound pain scores, the clinical nursing pathway group was significantly lower than the routine care group (MD = −1.34, 95%CI: −1.98 to −0.70, p < 0.001; Figure 7).

FIGURE 7.

FIGURE 7

The forest plots of wound pain scores.

3.7. Sensitivity analyses and publication bias

Sensitivity by excluding single studies on a case‐by‐case basis showed that this study was stable and the conclusions were reliable. The funnel plot shows that the position of points in the graph is basically symmetrical, as shown in Figure 8.

FIGURE 8.

FIGURE 8

Funnel plots. (A) complications. (B) wound infections. (C) hospital length of stay. (D) satisfaction rate.

4. DISCUSSION

Artificial arthroplasty is a common surgical procedure to replace a diseased or injured joint with an artificial prosthesis to achieve the goal of improving joint stability and restoring normal joint function, but the procedure carries a high risk of postoperative complications. 54 Intraoperative bleeding is high, often needs to input allogeneic blood, the blood donor's blood cells other than red blood cells are different from the patient's blood, which may produce transfusion reaction, the patient's white blood cell level is reduced, immunity is low, bacterial invasion is prone to wound infection, and the risk of infection around the prosthesis is also significantly higher in the postoperative period, which is very likely to cause loosening of the prosthesis to fall off. 55 Therefore, how to reduce the incidence of patient complications, shorten hospitalisation time and reduce hospitalisation costs is an important part of clinical nursing. Clinical nursing pathway is to formulate the nursing process according to the law of occurrence and development of the disease, and to carry out nursing interventions in strict accordance with the nursing pathway, so as to make the nursing more standardised. In the process of formulating clinical nursing pathways, the requirements of evidence‐based medicine are followed, and under the guidance of evidence‐based medicine, diseases are managed in a standardised way, thus regulating the role of medical behaviour, reducing variation, lowering costs and improving the quality of care. 56 , 57

Our results show that applying clinical nursing pathways to patients who have undergone knee or hip arthroplasty can effectively reduce the incidence of postoperative complications and wound infections, which is consistent with the results of the study by Chen et al., 7 which indicates the clinical nursing pathway emphasises practice, and whoever carries out nursing care strictly follows the pathway table, which reduces the arbitrariness of different caregivers in nursing care, and enables healthcare workers to deal with the situation of patients' postoperative wounds that have been exposed for a long period of time in a timely manner, and therefore reduces the risk of postoperative complications and wound infections in the patients. At the same time, the implementation of the clinical nursing pathway can effectively reduce the length of hospitalisation and improve wound pain, which is consistent with the findings of Guo et al., 15 which suggests that the dietary habits and postoperative recovery details set out in the clinical care pathway can be effectively implemented for patients under the supervision of healthcare professionals, so that patients can receive timely nutritional supplementation after surgery, and patients can recover more quickly. Finally, the implementation of clinical nursing pathway can improve patients' satisfaction with nursing services, which is consistent with the results of Gan, 13 which indicating that the clinical nursing pathway can meet the treatment and service needs of patients in a more considerate and subtle way, so that patients can have a better treatment experience.

There are some limitations should be addressed: (1) the sample sizes of the included studies were all small, resulting in a lack of sufficient clinical data for this study; (2) as all the literature included in this study was in Chinese, there was publication bias, which needs to be confirmed by more literature; and (3) the methods of implementing clinical nursing pathways in the included studies were not completely uniform, which may have an impact on the outcome indicators.

5. CONCLUSION

In summary, the implementation of clinical nursing pathways in clinical care after knee or hip arthroplasty can effectively reduce the incidence of complications and wound infections, and also improve the wound pain, while also improving treatment satisfaction so that patients can recover faster and be discharged from the hospital at an early date.

CONFLICT OF INTEREST STATEMENT

The authors declare no conflicts of interest.

Huang Z, Li Y, Peng J, et al. Effects of clinical nursing pathway on the surgical site wound infection in patients undergoing knee or hip replacement surgery: A meta‐analysis. Int Wound J. 2024;21(3):e14657. doi: 10.1111/iwj.14657

Zhifeng Huang and Yuanli Li contributed equally to this work.

Contributor Information

Ya Li, Email: 13452870135@163.com.

Keping Yu, Email: 13628307457@163.com.

DATA AVAILABILITY STATEMENT

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.


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