Objectives: Placenta accreta spectrum (PAS) is a serious pathology. In 2016, the High Obstetric Complexity Unit (HOCU) of Fundaci ón Valle del Lili (FVL) formed an interdisciplinary group specialised for the management of PAS, called the placenta accreta spectrum clinic (PASC), incorporating quality policies and activities from research to healthcare practice. We present the results of this initiative. Methods: the changes presented in the HOCU involved research as a strategy to evaluate and adopt best practices in PAS, make the program visible at the national level, and reward participants for their efforts. The very scarce information available at the Latin American level and the opportunity that FVL had to apply quality policies and carry out the research was quickly evident. We compare the institutional results of the management of PAS in our institution, before (period 1) and after the operation of PASC (period 2). Results: We observed better results in all the parameters observed in period 2. The patients seen in period 2 had a lower volume of intraoperative bleeding (10% lower volume), lower frequency of transfusions (−10%), duration of surgery (−33%) and postoperative hospitalisation (−50%), fewer ureteral injuries (−68%), hospitalisation of neonates (−72%), use of hospital resources (−16.5%), as well as a higher frequency of uterine preservation (+ 139%). Additionally, in period 2, 11 articles were published in indexed scientific journals, 12 exhibitions were held at scientific congresses and new healthcare products (teleconsultation in PAS) and educational products were generated for patients and health professionals. Conclusions: The consolidation of interdisciplinary groups under health care models such as PASC, driven by research, improves clinical results and reduces the consumption of health resources. OC02.06 An effective training program for antenatal diagnosis of placenta accreta spectrum disorder during an epidemic of Caesarean deliveries
ObjectiveTo develop and evaluate a training program for diagnosing placenta accreta spectrum (PAS) disorder in obstetrics/gynecology and radiology residents.MethodsThis single‐center prospective study was based on 177 ultrasound images of pathologically confirmed PAS extracted from 534 cases of placenta previa suspicious for PAS. First‐ to third‐year residents were evaluated before training to assess experience and ability to diagnose PAS. They attended a principal lecture followed by weekly self‐study exercises over 5 weeks. Post‐course tests evaluated the efficacy of the training program for improving diagnosis of PAS after the program.ResultsTwenty‐three (38.3%) obstetrics/gynecology and 37 (61.7%) radiology residents were trained. Before the training program, 98.3% reported minimal experience and 100% low confidence to correctly diagnose PAS. During the program, the overall accuracy of all participants in diagnosing PAS increased from 71.3% before to 95.2% after training (P < 0.001). Regression analyses showed that ability to diagnose PAS increased 2.52‐fold (P < 0.001) following the program. The retention of knowledge at 1, 3, and 6 months posttest was 84.7%, 87.5%, and 87.7%, respectively.ConclusionAn antenatal diagnosis of PAS training program can be effective as a residency training program, considering the globally rising cesarean delivery rates.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.