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1.
Pilot Feasibility Stud ; 8(1): 248, 2022 Dec 09.
Artigo em Inglês | MEDLINE | ID: mdl-36482482

RESUMO

BACKGROUND: Bronchopulmonary dysplasia (BPD) is a chronic disease that affects the immature lungs of preterm infants. Infants born before 32 weeks of gestation are at a greater risk of developing BPD due to the need for respiratory support with higher oxygen requirement. Pulmonary vascular remodelling in early BPD can impose an additional burden on the right ventricle (RV) and RV dysfunction. This protocol outlines the study design and aims to formulate a prediction model to identify early BPD through the data generated from echo scans analysis. METHODS: The mixed-methods observational cohort feasibility study, which comprises three work-packages (WPs), will be conducted at the regional neonatal unit, University Hospital Plymouth, Plymouth, UK. WP-I will recruit 40 preterm infants; each participant will have two heart scans performed in the first ten days after birth (DABs). WP-II will collect the documentation of the participating preterm infants' parents in the study neonatal unit diaries in the first 10 DABs. WP-III will involve semi-structured interviews of 10-15 parents of participating preterm infants and 10-15 health professionals who participated in WP-I. The study recruitment will be conducted over 18-months. The start date is 01 June 2022. WP-I and WP-II recruitment will occur during this period, while WP-III recruitment will occur during the second half. The results are expected to be submitted for publication by mid-2024. DISCUSSION: This paper outlines the study design. If the study successfully identifies the most sensitive echo parameter in recognising the RV dysfunction associated with early BPD, it will be an important finding in constructing an early BPD prediction model. TRIAL REGISTRATION: ClinicalTrials.gov Identifier is NCT05235399.

2.
J Matern Fetal Neonatal Med ; 35(9): 1801-1804, 2022 May.
Artigo em Inglês | MEDLINE | ID: mdl-32429714

RESUMO

AIMS: The coronavirus 2019 infection (COVID-19) global outbreak has resulted in unprecedented pressures on health services, the need to prepare for the worst-case scenario, and the need for health experts to utilize their knowledge and expertise to fight this virus. The simulation training objective of this study was to enhance the neonatal, maternity, and anesthetics teams' preparedness for the management of the emergency delivery of pregnant women with suspected or confirmed COVID-19 infection. METHODS: Three clinical simulation training sessions were conducted in March 2020 at the University Hospital Plymouth, Plymouth, UK. The neonatal, maternity, and anesthetics clinical teams participated in these joint training sessions in the obstetric emergency theater. RESULTS: Each session lasted for around an hour. Suggestions were discussed and recommendations made. The key changes were: first, floor plan adjustment, increase of the clinical area by converting some offices to clinical spaces, and standard operating procedures for transporting patients; second, enhancement of the efficiency of the communication and coordination between the clinical teams; third, availability of extra support for the staff in the Central Delivery Suite (CDS); and fourth, introduction of a neonatal care pathway to manage neonatal resuscitation in such an emergency. CONCLUSIONS: Collaboration and joint training between the different clinical teams involved in the care of suspected or confirmed COVID-19 patients was proven to be one of the most effective ways of improving performance.


Assuntos
COVID-19 , Treinamento por Simulação , COVID-19/terapia , Simulação por Computador , Feminino , Humanos , Recém-Nascido , Gravidez , Ressuscitação/educação , Treinamento por Simulação/métodos
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