Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Elaine M. Boyle"'
Publikováno v:
Paediatric & Neonatal Pain, Vol 3, Iss 1, Pp 2-8 (2021)
Abstract Recent years have seen the increasing use of noninvasive respiratory support in preterm infants with the aim of minimizing the risk of mechanical ventilation and subsequent bronchopulmonary dysplasia. Respiratory distress syndrome is the mos
Externí odkaz:
https://doaj.org/article/2656c05f7c4444dbb005f904a6a20849
Autor:
Deborah Bamber, Charlotte Powell, Jaqui Long, Rosie Garratt, Jayne Brown, Sally Rudge, Tom Morris, Nishal Bhupendra Jaicim, Rachel Plachcinski, Sue Dyson, Elaine M. Boyle, Nicole Turney, Joanne Chessman, Ian St. James-Roberts
Publikováno v:
BMC Health Services Research, Vol 19, Iss 1, Pp 1-7 (2019)
Abstract Background The ‘Surviving Crying’ study was designed to develop and provisionally evaluate a support service for parents of excessively crying babies, including its suitability for use in the United Kingdom (UK) National Health Service (
Externí odkaz:
https://doaj.org/article/7895f352749a4df681b4f771ef408a7a
Autor:
Frances J Mielewczyk, Elaine M Boyle
Publikováno v:
BMC Pregnancy and Childbirth, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Almost 30% of live births in England and Wales occur late preterm or early term (LPET) and are associated with increased risks of adverse health outcomes throughout the lifespan. However, very little is known about the decision-making proces
Externí odkaz:
https://doaj.org/article/fb5121a421274477a25d9333602b3d23
Autor:
Neena Modi, Helen Campbell, Miaoqing Yang, Oliver Rivero-Arias, Thillagavathie Pillay, Elaine M Boyle
Publikováno v:
BMJ Paediatrics Open, Vol 7, Iss 1 (2023)
Objectives Babies born between 27+0 and 31+6 weeks of gestation represent the largest group of very preterm babies requiring National Health Service (NHS) care; however, up-to-date, cost figures for the UK are not currently available. This study esti
Externí odkaz:
https://doaj.org/article/cd68ec52dcda4befb68fba405bfebf53
Autor:
Abdul Qader Tahir Ismail, Elaine M. Boyle, Thillagavathie Pillay, Neena Modi, Oliver Rivero-Arias, Bradley Manktelow, Sarah E. Seaton, Natalie Armstrong, Miaoqing Yang, Abdul Qader T. Ismail, Sila Bountziouka, Caroline S. Cupit, Alexis Paton, Victor L Banda, Elizabeth S Draper, Kelvin Dawson
Publikováno v:
Journal of Neonatal Nursing. 29:27-32
Publikováno v:
BMJ open quality. 11(4)
Neonatology is a relatively new specialty, in which much of the practice remains non-evidence based. Variation in the quality of care delivered is recognised but measuring this is challenging. One possible indicator of this is variation in practice.
Autor:
Miaoqing Yang, Helen Campbell, Thillagavathie Pillay, Elaine M Boyle, Neena Modi, Oliver Rivero-Arias
Publikováno v:
BMJ Paediatrics Open. 7:e001818
ObjectivesBabies born between 27+0and 31+6weeks of gestation represent the largest group of very preterm babies requiring National Health Service (NHS) care; however, up-to-date, cost figures for the UK are not currently available. This study estimat
Publikováno v:
Paediatric & Neonatal Pain, Vol 3, Iss 1, Pp 2-8 (2021)
Recent years have seen the increasing use of noninvasive respiratory support in preterm infants with the aim of minimizing the risk of mechanical ventilation and subsequent bronchopulmonary dysplasia. Respiratory distress syndrome is the most common
Autor:
Elaine M. Boyle
Publikováno v:
Paediatrics and Child Health. 30:52-56
Research is becoming increasingly important in the delivery of paediatric care and in the training of healthcare professionals. Many young clinicians are now looking for some way of becoming involved in research during their training, and some will w
Autor:
Stavros Petrou, Victoria Coathup, Claire Carson, Jennifer J Kurinczuk, Samantha Johnson, Elaine M. Boyle, Alison Macfarlane, Maria A Quigley
Publikováno v:
PLoS ONE, Vol 16, Iss 9, p e0257341 (2021)
PLoS ONE
PLoS ONE
Background Children born preterm ( Methods and findings Using a population-based, record-linkage cohort study design, birth registrations, birth notifications and hospital admissions were linked using a deterministic algorithm. The study population i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::841e7c54cc90f1549aa146d7c6856b12
https://ora.ox.ac.uk/objects/uuid:f64b770f-627e-4473-8fa6-28a8b1121f87
https://ora.ox.ac.uk/objects/uuid:f64b770f-627e-4473-8fa6-28a8b1121f87