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Dive into the research topics where Deborah A Donoghue is active.

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Featured researches published by Deborah A Donoghue.


Pediatrics | 2005

Prenatal Risk Factors for Severe Retinopathy of Prematurity Among Very Preterm Infants of the Australian and New Zealand Neonatal Network

Brian A. Darlow; Jolie L. Hutchinson; David J. Henderson-Smart; Deborah A Donoghue; Judy M. Simpson; Nick Evans

Objective. To identify prenatal and perinatal risk factors for clinically severe (stage 3 or 4) retinopathy of prematurity (ROP). Methods. Data were collected prospectively as part of the ongoing Australian and New Zealand Neonatal Network audit of high-risk infants (birth weight of <1500 g or gestational age [GA] of <32 weeks) admitted to a level III neonatal unit in Australia or New Zealand. Prenatal and perinatal factors to 1 minute of age were examined for the subset of infants with GA of <29 weeks who survived to 36 weeks’ postmenstrual age and were examined for ROP (n = 2105). The factors significantly associated with stage 3 or 4 ROP were entered into a multivariate logistic regression model. Results. Two-hundred three infants (9.6%) had stage 3 or more ROP. Prematurity was the dominant risk factor, with infants with GA of <25 weeks having 20 times greater odds of severe ROP than infants with GA of 28 weeks. Birth weight for GA also had a “dose-response” effect; the more growth-restricted infants had greater risk, with infants below the 3rd percentile of weight for GA having 4 times greater odds of severe ROP than those between the 25th and 75th percentiles. Male gender was also a significant risk factor (odds ratio: 1.73; 95% confidence interval: 1.25–2.40). Conclusions. These data, for a large, essentially population-based cohort, suggest that factors related to the degree of immaturity, intrauterine growth restriction, and male gender contribute to severe ROP.


Archives of Disease in Childhood-fetal and Neonatal Edition | 2003

Improved outcomes for very low birthweight infants: evidence from New Zealand national population based data.

Brian A. Darlow; Anne E. Cust; Deborah A Donoghue

Objective: To compare the survival and short term morbidity of all New Zealand very low birthweight (VLBW) infants born in two epochs, 1986 and 1998–1999. Setting: All level III and level II neonatal intensive care units (NICUs) in New Zealand. Methods: In 1986, data were prospectively collected for a study of retinopathy of prematurity (ROP). In 1998–1999, prospective data were collected by the Australian and New Zealand Neonatal Network (ANZNN). Both cohorts included all VLBW infants born during the calendar year and admitted to a NICU. Data were collected from birth until discharge home or death. Results: More VLBW infants were admitted for care in 1998–1999 (n = 1084, 0.96% of livebirths) than in 1986 (n = 413, 0.78% of livebirths; p < 0.001), including a higher proportion of VLBW infants of < 1000 g birth weight (38% v 32% respectively; p < 0.05). Survival to discharge home increased from 81.8% in 1986 to 90.3% in 1998–1999 (p < 0.001). The 1998–1999 cohort had a higher proportion of infants born in a hospital with a level III NICU (87% v 72% in 1986; p < 0.001) and receiving antenatal corticosteroids (80% v 58% in 1986; p < 0.001). In 1998–1999, the incidence of several morbidities had decreased compared with 1986, including oxygen dependency at 28 days (29% v 39% respectively; p = 0.001) and at 36 weeks postmenstrual age (16% v 23%; p = 0.002), grade 1 intraventricular haemorrhage (IVH) (8% v 24%; p < 0.001), grade 2/3 IVH (5% v 11%; p < 0.001), and stage 3/4 ROP for infants < 1000 g (6% v 13%; p < 0.001). Conclusions: The outlook for VLBW infants in New Zealand has improved since 1986.


Archives of Disease in Childhood-fetal and Neonatal Edition | 2005

Prenatal predictors of chronic lung disease in very preterm infants

David J Henderson‐Smart; Jolie L. Hutchinson; Deborah A Donoghue; Nick Evans; Judy M. Simpson; Ian M. R Wright

Objective: To identify prenatal risk factors for chronic lung disease (CLD) at 36 weeks postmenstrual age in very preterm infants. Population: Data were collected prospectively as part of the ongoing audit of the Australian and New Zealand Neonatal Network (ANZNN) of all infants born at less than 32 weeks gestation admitted to all tertiary neonatal intensive care units in Australia and New Zealand. Methods: Prenatal factors up to 1 minute of age were examined in the subset of infants born at gestational ages 22–31 weeks during 1998–2001, and who survived to 36 weeks postmenstrual age (n = 11 453). Factors that were significantly associated with CLD at 36 weeks were entered into a multivariate logistic regression model. Results: After adjustment, low gestational age was the dominant risk factor, with an approximate doubling of the odds with each week of decreasing gestational age from 31 to less than 25 weeks (trend p<0.0001). Birth weight for gestational age also had a dose-response effect: the lower the birth weight for gestational age, the greater the risk, with infants below the third centile having 5.67 times greater odds of CLD than those between the 25th and 75th centile (trend p<0.0001). There was also a significantly increased risk for male infants (odds ratio 1.51 (95% confidence interval 1.36 to 1.68), p<0.0001). Conclusions: These population based data show that the prenatal factors low gestational age, low birth weight for gestational age, and male sex significantly predict the development of chronic respiratory insufficiency in very preterm infants and may assist clinical decision about delivery.


Archives of Disease in Childhood-fetal and Neonatal Edition | 2003

Outcomes for high risk New Zealand newborn infants in 1998-1999: a population based, national study.

Anne E. Cust; Brian A. Darlow; Deborah A Donoghue

Objective: To determine short term morbidity and mortality outcomes, provision of care, and treatments for a national cohort of high risk infants born in 1998–1999 and admitted to New Zealand neonatal intensive care units (NICUs). Setting: All level III (six) and level II (13) NICUs in New Zealand. Methods: Prospective audit by the Australian and New Zealand Neonatal Network (ANZNN) of all infants defined as “high risk” (born at < 32 weeks gestation or < 1500 g birth weight, or received assisted ventilation for four hours or more, or had major surgery). Data were collected from birth until discharge home or death. Results: There were 3368 high risk infants (3.0% of all live births), comprising 1241 (37%) < 32 weeks gestation, 1084 (32%) < 1500 g, 3156 (94%) who received assisted ventilation, and 243 (7%) who received major surgery (categories overlap). Most infants (87%) received some care in tertiary hospitals, and 13% were cared for entirely in non-tertiary hospitals. Survival was 91% for infants < 32 weeks gestation, 97% for infants ≥ 32 weeks gestation who received assisted ventilation, and 92% for infants ≥ 32 weeks gestation who had major surgery. The proportion of very preterm infants who survived free of early major morbidity was 11%, 28%, 53%, 81%, and 90% for infants born at < 24, 24–25, 26–27, 28–29, and 30–31 weeks gestation respectively. Conclusions: These unique population based national data provide contemporary information on the care and early morbidity and mortality outcomes for all high risk infants, whether cared for in hospitals with level III or level II NICUs.


Acta Obstetricia et Gynecologica Scandinavica | 2009

Socioeconomic and maternal determinants of small-for-gestational age births: patterns of increasing disparity

John Beard; D Lincoln; Deborah A Donoghue; Danielle Taylor; Richard Summerhayes; Therese M Dunn; Arul Earnest; Geoffrey Morgan

Objective. To better characterize the relation between socioeconomic disadvantage and small‐for‐gestational age births (SGA). Design. Analysis of data from a mandatory population‐based surveillance system. Setting. Public or private hospitals and at home. Population. All 877,951 singleton births occurring in New South Wales, Australia, between 1994 and 2004. Methods. Multilevel models were developed to determine the factors associated with babies weighing less than the 3rd percentile for gestation and gender. Main outcome measures. Odds of SGA. Results. The risk of SGA increased with increasing socioeconomic disadvantage. Smoking accounted for approximately 40% of the increased risk associated with socioeconomic disadvantage, and delayed antenatal care approximately 5%. While the absolute rate of SGA remained stable over the study period, the odds of SGA in mothers living in the most disadvantaged areas compared to those in the least disadvantaged areas increased from approximately 1.7 to 2.2. This trend persisted after accounting for maternal smoking. The risk of SGA over this period also increased in mothers commencing antenatal care after the first trimester. After accounting for smoking, socioeconomic disadvantage and clinical conditions, mothers under 21 years of age were at reduced risk of SGA, but mothers over 35 were at increased risk. Conclusions. Socioeconomic disadvantage remains one of the dominant determinants of SGA, even in a developed country with universal insurance. This relation appears to be strengthening. Smoking patterns, inadequate antenatal care and clinical conditions partially account for this association and trend, however, most is mediated by other factors.


British Journal of Ophthalmology | 2005

Variation in rates of severe retinopathy of prematurity among neonatal intensive care units in the Australian and New Zealand Neonatal Network

Brian A. Darlow; Jolie L. Hutchinson; Judy M. Simpson; David J Henderson‐Smart; Deborah A Donoghue; Nick Evans

Aim: To analyse variations in rates of severe retinopathy of prematurity (ROP) among neonatal intensive care units (NICUs) in the Australian and New Zealand Neonatal Network (ANZNN), adjusting for sampling variability and for case mix. Methods: 25 NICUs were included in the study of 2105 infants born at less than 29 weeks in 1998 and 1999, who survived to 36 weeks post-menstrual age and were examined for ROP. The observed NICU rates of severe ROP were adjusted for case mix using logistic regression on gestation, weight for gestational age and sex, and for sampling variability using shrinkage estimates. The corrected rate in the best 20% of NICUs was identified and NICU variations in rates were compared with those in 2000–1. Results: The overall (unadjusted) rate of severe ROP in the NICUs was 9.6% (interquartile range 5.4−12.8%). After adjusting for both case mix and sampling variability there remained significant variation among the NICUs. 20% of NICUs had a rate of severe ROP ⩽5.9%. Variation in rates among NICUs showed a similar pattern in both time periods. If the overall network rate was reduced to 5.9%, the 20th centile of the adjusted rates, there would be 79 fewer cases in a 2 year period, in contrast with 26 fewer if rates in the two units with excess rates improved to the average. Conclusions: Considerable variation in rates of severe ROP among NICUs remained after adjustment for case mix and sampling variability. These data will facilitate investigation of potentially better practices associated with a reduced risk of severe ROP.


Clinical and Experimental Ophthalmology | 2008

Does observer bias contribute to variations in the rate of retinopathy of prematurity between centres

Brian A. Darlow; Mark J Elder; L. John Horwood; Deborah A Donoghue; David J. Henderson-Smart

Purpose:  We aimed to indirectly assess the contribution from observer bias to between centre variability in the incidence of acute retinopathy of prematurity (ROP).


Health & Place | 2010

Small area estimation of sparse disease counts using shared component models-application to birth defect registry data in New South Wales, Australia

Arul Earnest; John Beard; Geoff Morgan; D Lincoln; Richard Summerhayes; Deborah A Donoghue; Therese M Dunn; David Muscatello; Kerrie Mengersen

In the field of disease mapping, little has been done to address the issue of analysing sparse health datasets. We hypothesised that by modelling two outcomes simultaneously, one would be able to better estimate the outcome with a sparse count. We tested this hypothesis utilising Bayesian models, studying both birth defects and caesarean sections using data from two large, linked birth registries in New South Wales from 1990 to 2004. We compared four spatial models across seven birth defects: spina bifida, ventricular septal defect, OS atrial septal defect, patent ductus arteriosus, cleft lip and or palate, trisomy 21 and hypospadias. For three of the birth defects, the shared component model with a zero-inflated Poisson (ZIP) extension performed better than other simpler models, having a lower deviance information criteria (DIC). With spina bifida, the ratio of relative risk associated with the shared component was 2.82 (95% CI: 1.46-5.67). We found that shared component models are potentially beneficial, but only if there is a reasonably strong spatial correlation in effect for the study and referent outcomes.


Midwifery | 2016

Reconceptualising risk: Perceptions of risk in rural and remote maternity service planning

Lesley Barclay; Jude Kornelsen; Jo Longman; Sarah Robin; Sue Kruske; Sue Kildea; Jennifer Pilcher; Tanya Martin; Stefan Grzybowski; Deborah A Donoghue; Margaret Rolfe; Geoff Morgan

OBJECTIVE to explore perceptions and examples of risk related to pregnancy and childbirth in rural and remote Australia and how these influence the planning of maternity services. DESIGN data collection in this qualitative component of a mixed methods study included 88 semi-structured individual and group interviews (n=102), three focus groups (n=22) and one group information session (n=17). Researchers identified two categories of risk for exploration: health services risk (including clinical and corporate risks) and social risk (including cultural, emotional and financial risks). Data were aggregated and thematically analysed to identify perceptions and examples of risk related to each category. SETTING fieldwork was conducted in four jurisdictions at nine sites in rural (n=3) and remote (n=6) Australia. PARTICIPANTS 117 health service employees and 24 consumers. MEASUREMENTS AND FINDINGS examples and perceptions relating to each category of risk were identified from the data. Most medical practitioners and health service managers perceived clinical risks related to rural birthing services without access to caesarean section. Consumer participants were more likely to emphasise social risks arising from a lack of local birthing services. KEY CONCLUSIONS our analysis demonstrated that the closure of services adds social risk, which exacerbates clinical risk. Analysis also highlighted that perceptions of clinical risk are privileged over social risk in decisions about rural and remote maternity service planning. IMPLICATIONS FOR PRACTICE a comprehensive analysis of risk that identifies how social and other forms of risk contribute to adverse clinical outcomes would benefit rural and remote people and their health services. Formal risk analyses should consider the risks associated with failure to provide birthing services in rural and remote communities as well as the risks of maintaining services.


Australian and New Zealand Journal of Public Health | 2013

Influences on the degree of preterm birth in New South Wales

Deborah A Donoghue; D Lincoln; Geoffrey Morgan; John Beard

Objective: To identify risk factors for preterm birth and determine if these vary by degree of prematurity.

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Sue Kildea

University of Queensland

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Sue Kruske

University of Queensland

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