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Background: The postpartum haemorrhage (PPH) rate in Victoria in 2009 for women having their first birth, based on information reported to the Victorian Perinatal Data Collection (VPDC), was 23.6% (primiparas). Prior to 2009 PPH was collected via a tick box item on the perinatal form. Estimated blood loss (EBL) volume is now collected and it is from this item the PPH rate is calculated. Periodic assessment of data accuracy is essential to inform clinicians and others who rely on these data of their quality and limitations. Aims: This paper describes the results of a state‐wide validation study of the accuracy of EBL volume and EBL‐related data items reported to VPDC. Materials and methods: PPH data from a random sample of 1% of births in Victoria in 2011 were extracted from source medical records and compared with information submitted to the VPDC. Accuracy was determined, together with sensitivity, specificity, positive predictive value and negative predictive value for dichotomous items. Results: Accuracy of reporting for EBL ≥ 500 mL was 97.2% and for EBL ≥ 1500 mL was 99.7%. Sensitivity for EBL ≥ 500 mL was 89.0% (CI 83.1‐93.0) and for EBL ≥ 1500 mL was 71.4% (CI 35.9–91.8). Blood product transfusion, peripartum hysterectomy and procedures to control bleeding were all accurately reported in >99% of cases. Conclusions: Most PPH‐related data items in the 2011 VPDC may be considered reliable. Our results suggest EBL ≥ 1500 mL is likely to be under‐reported. Changes to policies and practices of recording blood loss could further increase accuracy of reporting. [ABSTRACT FROM AUTHOR]

Objective To examine urban-rural differences and individual risk factors for a late stage of breast cancer at diagnosis in Australian women. Design Individual-level longitudinal data were linked with cancer registry data from New South Wales (New South Wales Cancer Registry linked by the Centre for Health Record Linkage (CHeReL)), Queensland (Queensland Cancer Registry) and Victoria (The Cancer Council Victoria). Setting Participants were drawn from the Australian Longitudinal Study on Women's Health 1946-1951 cohort (n = 13 715). Participants The sample included 195 women identified from the linked cancer registry data with a breast cancer diagnosis. Interventions Rural or urban residence was measured using Accessibility/Remoteness Index of Australia Plus (ARIA+). Individual characteristics and socio-demographic variables examined included survey year, menopausal status, country of birth, education and marital status. Main outcome measures A late stage of breast cancer at diagnosis was defined based on the TNM Classification of Malignant Tumours. Results A late stage of breast cancer diagnosis was observed in 36% of women residing in urban areas and 40% of women residing in rural areas. After adjusting for individual characteristics, we found that obesity was the strongest risk factor for a late stage of breast cancer at diagnosis. Conclusions Given that women are becoming increasingly obese, and that the rate of obesity is higher in the Australian rural population, this paper provides further evidence for targeting interventions for obesity, particularly in rural Australia, as a public health priority. [ABSTRACT FROM AUTHOR]

Objective There is little evidence that useful electronic data could be collected at Australian small rural emergency services. If in future their funding model changed to the Activity- Based Funding model, then they would need to collect and submit more data. We determine whether it is possible to collect episode-level data at six small rural emergency services and quantify the accuracy of eight fields. Design A prospective cross-sectional study. Setting South-West Victoria, Australia. Participants Six small rural emergency services. Intervention We collected and audited episode-level emergency data from participating services between 1 February 2011 and 31 January 2012. A random sample of these data were audited monthly. Research assistants located at each service supported data entry and audited data accuracy for four hours per week. Main outcome measures Rates for data completeness, accuracy and total accuracy were calculated using audit data. Results Episode-level data were collected for 20 224 presentations across six facilities. The audit dataset consisted of 8.5% (1504/17 627) of presentations from five facilities. For all fields audited, the accuracy of entered data was high (>93%).Triage category was deemed appropriate for 95.9% (95% confidence interval ( CI): 94.9-96.9%) of the patient records reviewed. Some procedures were missing (28.7%, 95% CI: 27.2-30.3%). No significant improvement in data accuracy over 12 months was observed. Conclusion All six services collected useful episode-level data for 12-months with four hours per week of assistance. Data entry accuracy was high for all fields audited, and data entry completeness was low for procedures. [ABSTRACT FROM AUTHOR]

Objectives Primary: to determine incidence of 30 day major adverse cardiac events (MACE) in patients discharged from the ED following assessment using an accelerated diagnostic pathway (ADP). Secondary: to determine incidence of 30 day MACE for all ADP patients. Methods Monash Health ED patients thought at low risk for acute myocardial infarction (AMI) or hospital admission are assessed using an ADP, based on arrival and 90 min point-of-care (POC) cardiac troponin I and myoglobin concentration. Other patients are assessed using a traditional pathway of arrival and 6 h central lab cardiac troponin I. Choice of pathway is based on the clinical judgement of the attending ED doctor. To investigate the safety of the ADP component, an observational study of all ADP patients presenting from 6 June 2013 to 30 September 2013 was conducted. After 30 days, occurrence of MACE was determined by examination of hospital records or telephone contact with patients who had not returned. Results Of 1547 eligible patients, 1384 (89.5%) were followed up. Of the 1143 discharged patients with follow-up information, 30 day MACE occurred in one (0.09%, 95% CI 0.002-0.5). Of all 1547 patients, 60 patients had a MACE detected: 56 AMI during the initial attendance, four AMI post-discharge (one from ED, three after hospital admission). In total, of the 1328 patients who did not have AMI during the target admission and were followed up, 30 day post-discharge MACE occurred in four patients (0.3%, 95% CI 0.08-0.8). Conclusion The ADP supports safe, early discharge of low-risk chest pain patients from the ED. [ABSTRACT FROM AUTHOR]

Objective To quantify late-pregnancy weight gain in women with and without gestational diabetes mellitus ( GDM) and to determine factors associated with gestational weight gain. Study design A prospective clinical audit of 212 women (115 GDM and 97 non- GDM) who were weighed at each antenatal visit from 24-32 weeks gestation until delivery. Women received routine antenatal clinical care. For women with GDM, this included a 2-h lifestyle counselling session, capillary blood glucose testing and frequent clinical review. Results Women with GDM gained less weight than nondiabetic women ( GDM: 1.18 kg (1.6%) [range, 3.8-7.1 kg]; non- GDM: 4.0 kg (4.8%) [range, 0.7-18.5 kg]; P < 0.0001). Weight gain was influenced by body mass index and country of birth. Women with GDM showed reduced weight gain at weeks 1-4 postrecruitment, relative to weeks 4-8 (0.04 kg/week vs 0.45 kg/week; P < 0.0001). Nondiabetic women gained weight at a constant rate. GDM status was the only independent predictor of postrecruitment weight gain. Conclusions Application of a model of care for GDM (lifestyle advice and regular clinical review, in addition to home glucose monitoring) may reduce weight gain in women with GDM. The potential for applying a modified version of this model to all women in pregnancy warrants further study. [ABSTRACT FROM AUTHOR]