scholarly journals Surgical site infection prevention: An analysis of compliance with good practice in a teaching hospital

2017 ◽  
Vol 18 (6) ◽  
pp. 301-306 ◽  
Author(s):  
Adriana Cristina de Oliveira ◽  
Camila Sarmento Gama
Keyword(s):  
Surgical Site Infection ◽  
Operating Room ◽  
Infection Prevention ◽  
Good Practice ◽  
Critical Role ◽  
University Hospital ◽  
Site Infection ◽  
Cross Sectional ◽  
Belo Horizonte ◽  
Surgical Teams

Background: Surgical teams play a critical role in reducing surgery-related risks during preoperative and intraoperative phases. Aim: To analyse the preoperative and intraoperative practices adopted by surgical teams in surgical site infections prevention. Methods: This was a cross-sectional study conducted during April–September 2013 in a large university hospital in Belo Horizonte, Minas Gerais, Brazil. It was conducted through observation of the surgical practice during preoperative and intraoperative phases of procedures used by a gastroenterological, cardiovascular and paediatric surgical team. Results: A total of 100 surgeries were monitored. Hair removal was performed for 20% of the patients inside the operating room by professionals using clippers in 65% of operations. The antimicrobial agent of choice was appropriate/satisfactory in 62% of the operations and administered up to 60 min before surgical incision in 90.3% of the cases. The operating room door was kept closed in 4% of these procedures. Discussion: Some preoperative measures for surgical site infection prevention were not adhered to by the professionals who were monitored in this study. It is recommended that surgical teams undergo professional surveillance and training to highlight the necessity and importance of implementing measures to improve the quality of care provided to surgical patients.

HOSPITAL INFECTION IN SURGICAL DEPARTMENTS AT HUE UNIVERSITY HOSPITAL IN 2015

2016 ◽  
pp. 39-43
Author(s):  
Dinh Binh Tran ◽  
Dinh Tan Tran
Keyword(s):  
Surgical Site Infection ◽  
Surgical Intervention ◽  
University Hospital ◽  
Hospital Infections ◽  
Site Infection ◽  
Cross Sectional ◽  
Surgical Interventions ◽  
Hospital Acquired Infections ◽  
Tract Infections ◽  
Hospital Acquired

Objective: To study nosocomial infections and identify the main agents causing hospital infections at Hue University Hospital. Subjects and Methods: A cross-sectional descriptive study of 385 patients with surgical interventions. Results: The prevalence of hospital infections was 5.2%, surgical site infection was the most common (60%), followed by skin and soft tissue infections (35%), urinary tract infections (5%). Surgical site infection (11.6%) in dirty surgery. There were 3 bacterial pathogens isolated, including Staphylococcus aureus (50%), Pseudomonas aeruginosa and Enterococcusspp (25%). Conclusion: Surgical site infection was high in hospital-acquired infections. Key words: hospital infections, surgical intervention, surgical site infection, bacteria

scholarly journals Operating Room Nurses’ Knowledge of Surgical Site Infection Prevention Measures

2020 ◽  
Vol 41 (S1) ◽  
pp. s336-s336
Author(s):  
Adriana Oliveira
Keyword(s):  
Surgical Site Infection ◽  
Operating Room ◽  
Prophylactic Antibiotic ◽  
Cross Sectional Study ◽  
Surgical Patient ◽  
Site Infection ◽  
Prevention Measures ◽  
Cross Sectional ◽  
Administration Time ◽  
Education And Awareness

Background: Surgical site infection (SSI) stands out among healthcare-related infections as one of the most important globally due to its associated morbidity and mortality. However, it is well known that the transoperative period is recognized as one of the most critical moments for the prevention of SSI. Objective: We evaluated the knowledge of the operating room (OR) nurse coordinators regarding SSI prevention measures. Methods: We conducted a cross-sectional study in 30 large hospitals in the state of Minas Gerais, Brazil, from February 2018 to April 2019. Data were collected through interviews with OR nurse coordinators. Results: Administration time of prophylactic antibiotic administered between 30 and 60 minutes prior to surgery was reported by 84% of the professionals and the suspension of this agent in the first 24 hours was reported by 47.8%. Preoperative hair removal within the operating room was mentioned by 60% of respondents and 36.7% mentioned using a razor. The Safe Surgery program of the WHO was unknown to 6.7% of nurses. Among those who knew about it, 20.8% stated that there was no surgical site demarcation. Presentation of the surgical team occurred before the beginning of the procedure in only 53.3% of the institutions. Patient surveillance for SSI was reported by 93.3% of respondents, but the criteria adopted for the diagnosis of SSI were unknown, even though SSI rates were given for 90% of services, predominantly via meetings (53.5%). Conclusions: The knowledge of nurses related to the prevention of SSI was not satisfactory, pointing to the need for immediate efforts in education and awareness programs. Such programs may facilitate changes in practice through the recognition of surgical patient risk by these professionals, thus leading to better planning and practice during the trans-operative period.Funding: NoneDisclosures: None

scholarly journals Evaluation of adherence to measures for the prevention of surgical site infections by the surgical team

2015 ◽  
Vol 49 (5) ◽  
pp. 767-774 ◽  
Author(s):  
Adriana Cristina de Oliveira ◽  
Camila Sarmento Gama
Keyword(s):  
Prospective Study ◽  
Surgical Site Infection ◽  
Surgical Site Infections ◽  
University Hospital ◽  
Site Infection ◽  
Surgical Team ◽  
Surgical Incision ◽  
Surgical Gloves ◽  
Glove Perforation ◽  
Belo Horizonte

AbstractOBJECTIVEEvaluate pre- and intraoperative practices adopted by medical and nursing teams for the prevention of surgical infections.METHODA prospective study carried out in the period of April to May 2013, in a surgical center of a university hospital in Belo Horizonte, Minas Gerais.RESULTS18 surgeries were followed and 214 surgical gloves were analyzed, of which 23 (10.7%) had postoperative glove perforation detected, with 52.2% being perceived by users. Hair removal was performed on 27.7% of patients in the operating room, with the use of blades in 80% of the cases. Antibiotic prophylaxis was administered to 81.8% of patients up to 60 minutes prior to surgical incision. An average of nine professionals were present during surgery and the surgery room door remained open in 94.4% of the procedures.CONCLUSIONPartial adhesion to the recommended measures was identified, reaffirming a need for greater attention to these critical steps/actions in order to prevent surgical site infection.

EFFICACY OF ANTIBIOTICS PROPHYLAXIS IN PATIENTS WITH LUMBAR DISC HERNIATION UNDERGOING LUMBAR DISCETOMY

2018 ◽  
Vol 8 (5) ◽  
pp. 14-19
Author(s):  
Tri Truong Van ◽  
Tri Tran Duc Duy ◽  
Khai Vo Le Quang
Keyword(s):  
Surgical Site Infection ◽  
Lumbar Disc Herniation ◽  
Disc Herniation ◽  
Lumbar Disc ◽  
Lumbar Discectomy ◽  
University Hospital ◽  
Site Infection ◽  
Surgical Wound ◽  
A Prospective Study ◽  
Length Of Hospitalization

Introduction: Surgical wound infection in developing coutries is about 3%. Antibiotics prophylaxis may help to reduce the surgical site infection. The objective of this study was to evaluate the efficacy of antibiotics prophylaxis in patients with lumbar disc herniation who were treated with lumbar discectomy at Hue University hospital. Materials and Methods: A prospective study was conducted at Hue University hospital from March 2015 to May 2018 on 54 patients with lumbar disc herniation who were used antibiotics prophylaxis when undergoing discectomy. Results: The infection rate in our study was 0%. Antibiotics prophylaxis reduced the length of hospitalization as well as the medical cost. Conclusion: Antibiotics prophylaxis was effective in preventing surgical site infection despite the fact that the condition of operating rooms did not meet the standard rules. Key words: prophylaxis antibiotics, lumbar disc herniation

scholarly journals Artificial Neural Networks Applied to Prediction to Assess the Likelihood of Surgical Site Infection in Different Surgeries

2020 ◽  
Vol 41 (S1) ◽  
pp. s129-s129
Author(s):  
Flávio Souza ◽  
Braulio Couto ◽  
Felipe Leandro Andrade da Conceição ◽  
Gabriel Henrique Silvestre da Silva ◽  
Igor Gonçalves Dias ◽  
...  
Keyword(s):  
Data Collection ◽  
Surgical Site Infection ◽  
Plastic Surgery ◽  
Predictive Power ◽  
Site Infection ◽  
Weight Decay ◽  
Time Of Surgery ◽  
Hospital Infection Control ◽  
Duration Of Surgery ◽  
Belo Horizonte

Background: Based on data obtained from hospitals in the city of Belo Horizonte (population ~3,000,000), we evaluated relevant factors such as death, age, duration of surgery, potential for contamination and surgical site infection, plastic surgery, and craniotomy. The possibility of predicting surgical site infection (SSI) was then analyzed using pattern recognition algorithms based on MLP (multilayer perceptron). Methods: Data were collected by the hospital infection control committees (CCIHs) in hospitals in Belo Horizonte between 2016 and 2018. The noisy records were filtered, and the occurrences were analyzed. Finally, the predictive power of SSI of 5 types MLP was evaluated experimentally: momentum, backpropagation standard, weight decay, resilient propagation, and quick propagation. The model used 3, 5, 7, and 10 neurons in the occult layer and with resamples varied the number of records for testing (65% and 75%) and for validation (35% and 25%). Comparisons were made by measuring the AUC (area under the curve (range, 0–1). Results: From 1,096 records of craniotomy, 289 were usable for analysis. Moreover, 16% died; averaged age was 56 years (range, 40–65); mean time of surgery was 186 minutes (range, 95–250 minutes); the number of hospitalizations ranged from 1 (90.6%) to 8 (0.3%). Contamination among these cases was rated as follows: 2.7% contaminated, 23.5% potentially contaminated, 72.3% clean. The SSI rate reached 4%. The prediction process in AUCs ranged from 0.7 to 0.994. In plastic surgery, from 3,693 records, 1,099 were intact, with only 1 case of SSI and no deaths. The average age for plastic surgery was 41 years (range, 16–91); the average time of surgery was 218.5 minutes (range, 19–580 minutes); the number of hospitalizations ranged from 1 (77.4%) to 6 times (0.001%). Contamination among these cases was rated as follows: 27.90% potential contamination, 1.67% contaminated, and 0.84% infected. The prediction process ranged in AUCs from 0.2 to 0.4. Conclusions: We identified a high noise index in both surgeries due to subjectivity at the time of data collection. The profiles of each surgery in the statistical analyses were different, which was reflected in the analyzed structures. The MLP for craniotomy surgery demonstrated relevant predictive power and can guide intelligent monitoring software (available in www.sacihweb.com). However, for plastic surgeries, MLPs need more SSI samples to optimize outcomes. To optimize data collection and to enable other hospitals to use the SSI prediction tool, a mobile application was developed.Disclosures: NoneFunding: None

scholarly journals Automated Risk Analysis of Surgical Site Infection in Hip Arthroplasty Surgeries

2020 ◽  
Vol 41 (S1) ◽  
pp. s135-s136
Author(s):  
Flávio Souza ◽  
Braulio Couto ◽  
Felipe Leandro Andrade da Conceição ◽  
Gabriel Henrique Silvestre da Silva ◽  
Igor Gonçalves Dias ◽  
...  
Keyword(s):  
Data Collection ◽  
Infection Control ◽  
Surgical Site Infection ◽  
Hip Arthroplasty ◽  
Hospital Infection ◽  
Site Infection ◽  
Weight Decay ◽  
Hospital Infection Control ◽  
Belo Horizonte ◽  
Arthroplasty Surgery

Background: In 7 hospitals in Belo Horizonte, a city with >3,000,000 inhabitants, a survey was conducted between July 2016 and June 2018, focused on surgical site infection (SSI) in patients undergoing arthroplasty surgery procedures. The main objective is to statistically evaluate such incidences and enable a study of the prediction power of SSI through pattern recognition algorithms, the MLPs (multilayer perceptron). Methods: Data were collected on SSI by the hospital infection control committees (CCIHs) of the hospitals involved in the research. All data used in the analysis during their routine SSI surveillance procedures were collected. The information was forwarded to the NOIS (Nosocomial Infection Study) Project, which used SACIH automated hospital infection control system software to collect data from a sample of hospitals participating voluntarily in the project. After data collection, 3 procedures were performed: (1) a treatment of the database collected for the use of intact samples; (2) a statistical analysis on the profile of the hospitals collected; and (3) an assessment of the predictive power of 5 types of MLP (backpropagation standard, momentum, resilient propagation, weight decay, and quick propagation) for SSI prediction. MLPs were tested with 3, 5, 7, and 10 hidden layer neurons and a database split for the resampling process (65% or 75% for testing and 35% or 25% for validation). The results were compared by measuring AUC (area under the curve; range, 0–1) presented for each of the configurations. Results: Of 1,246 records, 535 were intact for analysis. We obtained the following statistics: the average surgery time was 190 minutes (range, 145–217 minutes); the average age of the patients was 67 years (range, 9–103); the prosthetic implant index was 98.13%; the SSI rate was 1.49%, and the death rate was 1.21%. Regarding the prediction power, the maximum prediction power was 0.744. Conclusions: Despite the considerable loss rate of almost 60% of the database samples due to the presence of noise, it was possible to perform relevant sampling for the profile evaluation of hospitals in Belo Horizonte. For the predictive process, some configurations have results that reached 0.744, which indicates the usefulness of the structure for automated SSI monitoring for patients undergoing hip arthroplasty surgery. To optimize data collection and to enable other hospitals to use the SSI prediction tool (available in www.sacihweb.com ), a mobile application was developed.Funding: NoneDisclosures: None

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