Aim: Congenital cytomegalovirus (cCMV) infection can result in considerable morbidity and mortality. However, the impact of cCMV on health system utilisation beyond infancy is poorly defined. Here we sought to describe the burden of cCMV health service use and mortality using linked population-based datasets. Methods: The design was a matched cohort study using record-linked administrative datasets. Participants included all children aged 0-15 years identified through the New South Wales (NSW), Australia, Admitted Patient Data Collection who were hospitalised with an admission code for cCMV infection between 2001 and 2011. Participants were then matched by age, sex and birth postcode quintile using Socio-Economic Indexes for Area, to children randomly selected from the NSW Perinatal Data Collection, excluding those with central nervous system infections or cerebral palsy. We calculated rate ratios (RR) for hospital admissions adjusted for preterm birth, the median length of stay, cost weights of admission and odds ratio (OR) for deaths. Results: There were 130 children with cCMV matched to 2672 children. Neonates (aged <1 month) with cCMV had twice the rate of admissions (RR 2.4 95%CI 2.0, 2.8) and children aged >= 5yr to < 15yrs with cCMV almost eight times the rate of admissions (RR 7.8 95%CI 5.1, 11.5). Children with cCMV had significantly higher cost weights of admissions and an increased risk of mortality (OR 18.4 95%CI 7.8, 43.6). Conclusion: Throughout childhood, children with cCMV had higher rates of hospital admissions, higher admission cost weights and an increased risk of mortality compared with matched peers without cCMV.

cerns and Issues’ framework to facilitate group discussion and determine what was working well and what could be improved. Together the participants established key themes and identified appropriate ways forward. Results: 20 focus groups were conducted with 172 clinicians across all pilot sites in November. Commonly identified Claims included; the ease of identifying trends, the use of colours to identify abnormal parameters and being able to view all the observations on the one page. For the BSPN chart the incorporation of the Newborn Risk Assessment section was viewed positively. Key Concerns related to; the increments for recording temperature, documenting desaturation/bradycardic episodes and lack of ability to interpret observations in relation to feeding. Duplication of documentation and compliance with escalation processes were additional concerns. Conclusion: User feedback via focus groups has been a crucial aspect of the evaluation. Findings will inform changes to chart design, ongoing education and implementation strategies in preparation for a planned state-wide roll out in 2017.

sion criteria. The correlation between body mass index and ideal weight gain was analyzed using Pearson test. Results: Based on BMI, 10 subjects (9%) were classified as underweight, 48 subjects (43.2%) were classified as normoweight, 16 subjects (14.4%) were classified as overweight, and 37 subjects (33.3%) were classified as obese. Pearson correlation test showed that there is a significant correlation between BMI before pregnancy and weight gain during pregnancy (p <0.001). Conclusion: Most of women in Pasar Rebo PHC did not reach the ideal weight gain during pregnancy. The underweight and normoweight groups were more likely to have inadequate weight gain compared to overweight and obese groups. The achievement of the ideal weight gain during pregnancy has a weak correlation with BMI before pregnancy.