Perceived stigmatisation (PS) can cause different effects on burns survivors such as depression, low self‐esteem, body image disturbance, and social anxiety. Current systematic review and meta‐analysis aimed to determine the average PS among the burns survivor population and the average reliability of the PS questionnaire (PSQ). A comprehensive systematic search was conducted in various international electronic databases, such as Scopus, PubMed, Web of Science, and Persian electronic databases such as Iranmedex, and Scientific Information Database (SID) using keywords extracted from Medical Subject Headings such as “Stigmatisation”, “Burns”, “Reliability”, and “Questionnaire” from the earliest to February 1, 2023. The COSMIN and the Joanna Briggs Institute (JBI) checklists were applied to evaluate the risk of bias. Data analysis was performed in STATA V.14 and JAMOVI v 2.3.24 software. The analysis consisted of two sections. Firstly, the overall weighted average of PS was calculated based on mean and standard deviation. Then, the reliability average of PSQ was calculated with the reliability generalisation method based on the alpha coefficient, questionnaire items, and sample size of each study. Finally, eight articles were included in the quantitative analysis. The results showed the weighted average of PS was 2.14 (ES: 2.14, 95%CI: 1.77‐2.51, Z = 11.40, I2:97.8%, P < 0.001). The average of PS in the factors of confused/staring behaviour, absence of friendly behaviour, and hostile behaviour was 2.36 (ES: 2.36, 95%CI: 2.05‐2.67, Z = 14.86, I2:92.7%, P < 0.001), 2.13 (ES: 2.13, 95%CI: 1.87‐2.39, Z = 16.22, I2:93.8%, P < 0.001) and 2.07 (ES: 2.07, 95%CI: 1.67‐2.47, Z = 10.05, I2:96.5%, P < 0.001), respectively. The analysis showed that the overall coefficient alpha of the PSQ was 0.88 (ES: 0.88, 95%CI: 0.851‐0.910, Z = 58.7, I2: 95.04%, P < 0.001). Also, the alpha coefficient of factors including confused/staring behaviour, absence of friendly behaviour, and hostile behaviour were 0.847 (ES: 0.847, 95%CI: 0.770‐0.924, Z = 21.6, I2:99.13%, P < 0.001), 0.860 (ES: 0.860, 95%CI: 0.808‐0.912, Z = 32.4, I2:98.02%, P < 0.001) and 0.899 (ES: 0.899, 95%CI: 0.829‐0.968, Z = 21.33, I2: 0.0%, P < 0.001), respectively. In sum, the current study showed that the average PS was 2.14 out of 5 points. Most survivors and parents reported confused/starring behaviour as a common perceived behaviour from different individuals. Also, the average reliability of PSQ was 0.88, and it had acceptable reliability. More studies are required to better judge the level of PS among different age groups. Also, the psychometric properties of PSQ in different cultures are an essential issue.

The goal of this systematic review and meta‐analysis is to provide an overview of the prevalence of surgical wound infection and related factors in patients after long bone surgery. A comprehensive, systematic search was conducted in different international electronic databases, such as Scopus, PubMed, Web of Science and Persian electronic databases such as Iranmedex and Scientific Information Database using keywords extracted from Medical Subject Headings such as “Prevalence”, “Surgical wound infection”, “Surgical site infection” and “Orthopedics” from the earliest to the May 1, 2023. The appraisal tool for cross‐sectional studies (AXIS tool) evaluates the quality of the included studies. A total of 71 854 patients undergoing long bone surgery participated in 12 studies. The pooled prevalence of surgical wound infection in patients who underwent long bone surgery reported in the 12 studies was 3.3% (95% CI: 1.5%–7.2%; I2 = 99.39%; p < 0.001). The pooled prevalence of surgical wound infection in male and female patients who underwent long bone surgery was 4.6% (95% CI: 1.7%–11.7%; p < 0.001; I2 = 99.34%) and 2.6% (95% CI: 1.0%–6.3%; I2 = 98.84%; p < 0.001), respectively. The pooled prevalence of surgical wound infection in patients with femur surgery sites reported in nine studies was 3.7% (95% CI: 2.1–6.4%; I2 = 93.43%; p < 0.001). The pooled prevalence of surgical wound infection in open and close fractures was 16.4% (95% CI: 8.2%–30.2%; I2 = 95.83%; p < 0.001) and 2.9% (95% CI: 1.5%–5.5%; I2 = 96.40%; p < 0.001), respectively. The pooled prevalence of surgical wound infection in patients with diabetes mellitus (DM), hypertension (HTN) and cardiovascular disease (CVD) was 4.6% (95% CI: 2.3%–8.9%; I2 = 81.50%; p < 0.001), 2.7% (95% CI: 1.2%–6.0%; I2 = 83.82%; p < 0.001) and 3.0% (95% CI: 1.4%–6.4%; I2 = 69.12%; p = 0.006), respectively. In general, the different prevalence of surgical wound infection in patients undergoing surgical treatment after long bone fracture may be caused by underlying factors (gender and co‐morbidity) and fracture‐related factors (surgery site and type of fracture).

Hospital‐acquired infections (HAIs) are considered a major challenge in health care systems. One of the main HAIs, playing an important role in increased morbidity and mortality, is surgical wound infection. Therefore, this study aimed to determine the incidence rate and risk factors of surgical wound infection in general surgery patients. This cross‐sectional study was performed on 506 patients undergoing general surgery at Razi hospital in Rasht from 2019 to 2020. Bacterial isolates, antibiotic susceptibility pattern, antibiotic administration, and its type, operation duration and shift, the urgency of surgery, people involved in changing dressings, length of hospitalisation, and levels of haemoglobin, albumin, and white blood cells after surgery were assessed. The frequency of surgical wound infection and its association with patient characteristics and laboratory results were evaluated. The SPSS software package (version 16.0, SPSS Inc., Chicago, IL, USA) was used to analyse the data. Quantitative and qualitative variables were presented using mean (standard deviation) and number (percentage). The Shapiro–Wilk test was used to evaluate the normality of the data in this study. The data did not have a normal distribution. Hence, χ2 and Fisher's exact tests were used to evaluate the relationship between variables. Surgical wound infection occurred in 4.7% (24 cases) of patients with a mean age of 59.34 (SD = 14.61) years. Preoperative (>3 days) and postoperative (>7 days) hospitalisation, history of immunodeficiency (P < 0.001), and interns responsible for changing dressings (P = 0.021) were associated with surgical wound infection incidence. About 9.5% and 4.4% of surgical wound infection cases were significantly associated with pre‐ and postoperative antibiotic use. Gram‐positive cocci were the most prevalent strains isolated from 24 surgical wound infection cases (15/24, 62.5%). Among these, Staphylococcus aureus was the predominant species, followed by coagulase‐negative staphylococci. In addition, the most common Gram‐negative isolates identified were Escherichia coli bacteria. Overall, administration of antibiotics, emergency surgery, surgery duration, and levels of white blood cells and creatinine were identified as surgical wound infection‐associated risk factors. Identifying important risk factors could help control or prevent surgical wound infections.