Surgical site infection prevention bundle in gynecology oncology surgery: a key element in the implementation of an enhanced recovery after surgery (ERAS) program.
Lucia RiberoMaría Clara SantíaKathleen BorchardtFiraz ZabanehAmanda BeckArchana SadhuKaren EdwardsMonica HarrelsonAimee Pinales-RodriguezElise Mann YatesPedro T RamirezPublished in: International journal of gynecological cancer : official journal of the International Gynecological Cancer Society (2024)
Surgical site infection rates are among 5-35% in all gynecologic oncology procedures. Such infections lead to increased patient morbidity, reduction in quality of life, higher likelihood of readmissions, and reinterventions, which contribute directly to mortality and increase in health-related costs. Some of these are potentially preventable by applying evidence-based strategies in the peri-operative patient setting. The objective of this review is to provide recommendations for the individual components that most commonly comprise the surgical site infection prevention bundles that could be implemented in gynecologic oncology procedures. We searched articles from relevant publications with specific topics related to each surgical site infection intervention chosen to be reviewed. Studies on each topic were selected with an emphasis on meta-analyses, systematic reviews, randomized control studies, non-randomized controlled studies, reviews, clinical practice guidelines, and case series. Data synthesis was done through content and thematic analysis to identify key themes in the included studies. This review intends to serve as the most up-to-date frame of evidence-based peri-operative care in our specialty and could serve as the first initiative to introduce an enhanced recovery after surgery (ERAS) program.
Keyphrases
- surgical site infection
- quality improvement
- palliative care
- meta analyses
- case control
- systematic review
- healthcare
- open label
- double blind
- randomized controlled trial
- case report
- primary care
- placebo controlled
- phase iii
- emergency department
- phase ii
- risk factors
- coronary artery disease
- clinical trial
- machine learning
- artificial intelligence
- clinical practice
- percutaneous coronary intervention
- pain management
- big data
- deep learning