3 resultados para PRETERM AND TERM NEWBORN
em Aston University Research Archive
Resumo:
Fathers in the United Kingdom (UK) usually attend the birth and immediate care of their baby. They also have an increasing presence during complicated and preterm childbirth, newborn resuscitation and early neonatal unit(NNU) care. However, there is limited evidence about the effect of these experiences on them. The aim of this study was to gain an understanding of the experiences of fathers encountering these situations. The study consisted of three phases and was undertaken in one National Health Service trust in the UK. Qualitative semi-structured interviews using a phenomenological approach were undertaken with 20 first-time fathers present at the delivery, resuscitation and/or admission of their baby to the NNU. Direct observations were made of 22 normal and complicated deliveries and initial newborn care and qualitative semi-structured interviews using the critical incident approach were undertaken with 37 health care professionals (HCPs). The study generated qualitative and quantitative data that were analysed accordingly. The findings show that most fathers were involved for at least some of the time and often spontaneously initiated their involvement. Their most important need was for information. They were usually more concerned about their partner, irrespective of the baby?s need for resuscitation and NNU care. To facilitate their involvement, fathers needed guidance and support from HCPs, particularly delivery suite midwives. Most HCPs recognised the needs of fathers and ways in which they could be helped to connect with their experience. However, these needs were not always met, usually because of inadequate staffing levels, a lack of resources or a mother-centred philosophy of care. The findings suggest the service often determines the extent to which fathers are involved. It is anticipated that these findings will inform HCP education and training and the development of both policy and health education thereby enhancing the quality of care provision for fathers.
Resumo:
Our aim was to identify early predictors of poor neurodevelopmental outcome and of subsequent epilepsy in very early preterm and late preterm newborns with neonatal seizures.
Resumo:
Web document cluster analysis plays an important role in information retrieval by organizing large amounts of documents into a small number of meaningful clusters. Traditional web document clustering is based on the Vector Space Model (VSM), which takes into account only two-level (document and term) knowledge granularity but ignores the bridging paragraph granularity. However, this two-level granularity may lead to unsatisfactory clustering results with “false correlation”. In order to deal with the problem, a Hierarchical Representation Model with Multi-granularity (HRMM), which consists of five-layer representation of data and a twophase clustering process is proposed based on granular computing and article structure theory. To deal with the zero-valued similarity problemresulted from the sparse term-paragraphmatrix, an ontology based strategy and a tolerance-rough-set based strategy are introduced into HRMM. By using granular computing, structural knowledge hidden in documents can be more efficiently and effectively captured in HRMM and thus web document clusters with higher quality can be generated. Extensive experiments show that HRMM, HRMM with tolerancerough-set strategy, and HRMM with ontology all outperform VSM and a representative non VSM-based algorithm, WFP, significantly in terms of the F-Score.