Julia Chessman

ORCID: 0000-0002-8943-6454
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About
Contact & Profiles
Research Areas
  • COVID-19 and healthcare impacts
  • Health Systems, Economic Evaluations, Quality of Life
  • Hemoglobinopathies and Related Disorders
  • Statistical Methods and Bayesian Inference
  • Elder Abuse and Neglect
  • Trauma and Emergency Care Studies
  • Census and Population Estimation
  • Maternal and fetal healthcare
  • Clinical practice guidelines implementation
  • Healthcare Systems and Challenges
  • Neonatal Respiratory Health Research
  • Palliative Care and End-of-Life Issues
  • Survey Methodology and Nonresponse
  • Emergency and Acute Care Studies
  • Substance Abuse Treatment and Outcomes
  • Homelessness and Social Issues
  • Breastfeeding Practices and Influences
  • Acute Ischemic Stroke Management
  • Neonatal Health and Biochemistry
  • Pregnancy and preeclampsia studies
  • Healthcare cost, quality, practices

National Centre for Clinical Research on Emerging Drugs
2022

New South Wales Department of Health
2017-2018

Northern Sydney Local Health District
2017

The University of Sydney
2017

Australian Bureau of Statistics
2012

Key points• COVID-19 has affected every healthcare system around the world.In New South Wales (NSW), Australia, activity was subdued in first half of 2020, as healthcare-seeking behaviour changed and service provision modified to manage capacity • The disruption caused may have both positive negative health consequences.Ongoing monitoring these potential consequences will be required AbstractObjective: left no untouched.In most populous state case numbers date been relatively low.However,...

10.17061/phrp3042030 article EN cc-by-nc-sa Public Health Research & Practice 2020-01-01

Summary Pressure is often placed on statistical analysts to improve the accuracy of their population estimates. In response this pressure, have long exploited potential combine surveys in various ways. This paper develops a framework for combining when data items from one mass imputed. The estimates are combined using composite estimator (CE). CE accounts variability due imputation model and surveys’ sampling schemes. Diagnostics validity also discussed. We describe an application Australian...

10.1111/j.1467-842x.2012.00666.x article EN Australian & New Zealand Journal of Statistics 2012-06-01

The aim of this study was to determine the association between red blood cell transfusion and breastfeeding among women who have suffered a postpartum haemorrhage at birth taking into account post-birth haemoglobin concentrations. Among 15,451 maternities with in New South Wales public hospitals 2007 2010, 1828 (12%) received transfusion. transfused women, 686 (38%) had concentration pre-transfusion < 70 g/L, 792 (43%) 70–90 350 (19%) > 90 g/L. Rates adjusted relative risks (aRR) for...

10.1186/s13104-018-3800-0 article EN cc-by BMC Research Notes 2018-10-01

Aim To describe neonatal exchange transfusions in New South Wales ( NSW ) before and after release January 2007 of a Health guideline regarding tertiary non‐tertiary hospitals. Methods The study population included neonates receiving transfusion hospitals, 2001–2012. Linked birth hospital data for mothers babies were used to characteristics maternal conditions. Exchange identified compared 2001–2006 2007–2012. Maternal with χ 2 Wilcoxon signed‐rank tests. Results Between 2001 2012, there 286...

10.1111/jpc.13504 article EN Journal of Paediatrics and Child Health 2017-03-28

Diverting lower urgency ED presentations to more suitable healthcare is a key goal of several systems. During the early stages COVID-19 pandemic in 2020, there was substantial drop New South Wales (NSW), potentially because risk illness and injury through social restrictions, or avoidance for urgent care. The present study aimed better understand impact restrictions during on presentations, inform potential shifts alternative modes care emergency medicine.We conducted quasi-experimental...

10.1111/1742-6723.14111 article EN cc-by-nc-nd Emergency Medicine Australasia 2022-10-07

<h3></h3> Overdiagnosis has been described as 'unwarranted diagnosis' (Moynihan et al, 2018). It is the formulation and conveyance of a label –generally disease or condition - that can lead to patient harm from unnecessary overtreatment, psychological distress even stigmatisation. are challenging pervasive problems in modern healthcare systems. They particular concern when considered context frail elderly patients. This because for vulnerable patients with limited physiologic reserves,...

10.1136/bmjebm-2019-pod.75 article EN Oral Presentations 2019-12-01
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