Effects of the COVID-19 Pandemic on the Use of Telehealth for Antenatal Care.

To determine changes in the use of telehealth and face-to-face consultations for antenatal care (ANC) associated with the COVID-19 pandemic and to identify the groups of women most affected. Routine administrative data from three public hospitals in a Local Health District in New South Wales, Australia, were analyzed. Data from 19,171 women who gave birth before the pandemic started (January 2018-January 2020) were compared with data of 5,479 women who gave birth after the pandemic started (December 2020-June 2021).

Caesarean section by country of birth in New South Wales, Australia.

Objective: To determine rates of caesarean section by country of birth and by obstetric risks.

Methods: We analysed the New South Wales Perinatal Data Collection data of women giving birth between January 2013 and December 2015. Obstetric risk was classified using the Robson's 10-group classification.

Caesarean section among immigrants with different obstetrical risks.

Aim: To determine the variation in caesarean section rates among immigrant populations.

Background: Australia is one of the most multicultural in the world and is also among those with the highest caesarean section rates.

Design: Secondary data analysis.

Validity of routinely collected data in identifying hip fractures at a major tertiary hospital in Australia.

Objectives: To examine the validity of routinely collected data in identifying hip fractures (HFs) and to identify factors associated with incorrect coding.

Method: In a prospective cohort study between January 2014 and June 2016, HFs were identified using physician diagnosis and diagnostic imaging and were recorded in a Registry. Records of HFs in the health information exchange (HIE) were identified using International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Australian Modification/Australian Classification of Health Interventions/Australian Coding Standards codes.

Effect of change in coding rules on recording diabetes in hospital administrative datasets.

Aim: During 2008-2011 Australian Coding Standards mandated a causal relationship between diabetes and inpatient care as a criterion for recording diabetes as a comorbidity in hospital administrative datasets. We aim to measure the effect of the causality mandate on recorded diabetes and associated inter-hospital variations.

Method: For patients with diabetes, all admissions between 2004 and 2013 to all New South Wales acute public hospitals were investigated.

Incidence and Variation of Discrepancies in Recording Chronic Conditions in Australian Hospital Administrative Data.

Diagnostic data routinely collected for hospital admitted patients and used for case-mix adjustment in care provider comparisons and reimbursement are prone to biases. We aim to measure discrepancies, variations and associated factors in recorded chronic morbidities for hospital admitted patients in New South Wales (NSW), Australia. Of all admissions between July 2010 and June 2014 in all NSW public and private acute hospitals, admissions with over 24 hours stay and one or more of the chronic conditions of diabetes, smoking, hepatitis, HIV, and hypertension were included.