Dr Simon Deeming

Background: A growing body of international literature concurs that comprehensive and complex Advance Care Planning (ACP) programs involving specially qualified or trained healthcare professionals are effective in increasing documentation of Advance Care Directives (ACDs), improving compliance with patients' wishes and satisfaction with care, and quality of care for patients and their families. Economic analyses of ACDs and ACP have been more sporadic and inconclusive. This study aimed to contribute to the evidence on resource use associated with implementation of ACP and to inform key decision-makers of the resource implications through the conduct of a cost-consequence analysis of the Normalised Advance Care Planning (NACP) trial. Methods: The outcomes for the economic evaluation included the number of completed "legally binding" ACDs and the number of completed Conversation Cards (CC). The cost analysis assessed the incremental difference in resource utilisation between Usual Practice and the Intervention. Costs have been categorised into: 1) Contract staff costs; 2) Costs associated with the development of the intervention; 3) Implementation costs; 4) Intervention (delivery) costs; and 5) Research costs. Results: The cost incurred for each completed ACD was A$13,980 in the hospital setting and A$1248 in the community setting. The cost incurred for each completed Conversation Card was A$7528 in the hospital setting and A$910 in the community setting. Conclusions: The cost-consequence analysis does not support generalisation of the specified intervention within the hospital setting. The trial realised an estimated incremental cost per completed ACD of $1248, within the community setting. This estimate provides an additional benchmark against which decision-makers can assess the value of either 1) this approach towards the realisation of additional completed ACDs; and/or 2) the value of ACP and ACDs more broadly, when this estimate is positioned within the potential health outcomes and downstream health service implications that may arise for people with or without a completed ACD. Trial registration: The study was retrospectively registered with the Australian New Zealand Clinical Trials Registry (Trial ID: ACTRN12618001627246). The URL of the trial registry record.

Objectives: Pre-eclampsia (PE) causes substantial maternal and neonatal mortality and morbidity. In addition to the personal impact on women, children and their families, PE has a significant economic impact on our society. Recent research suggests that a first-trimester multivariate model is highly predictive of preterm (< 37 weeks' gestation) PE and can be combined successfully with targeted prophylaxis (low-dose aspirin), resulting in an 80% reduction in prevalence of disease. The aim of this study was to examine the potential health outcomes and cost implications following introduction of first-trimester prediction and prevention of preterm PE within a public healthcare setting, compared with usual care, and to conduct a cost-effectiveness analysis to inform health-service decisions regarding implementation of such a program. Methods: A decision-analytic model was used to compare usual care with the proposed first-trimester screening intervention within the obstetric population (n = 6822) attending two public hospitals within a metropolitan district health service in New South Wales, Australia, between January 2015 and December 2016. The model, applied from early pregnancy, included exposure to a variety of healthcare professionals and addressed type of risk assessment (usual care or first-trimester screening) and use of (compliance with) low-dose aspirin prescribed prophylactically for prevention of PE. All pathways culminated in six possible health outcomes, ranging from no PE to maternal death. Results were presented as the number of cases of PE gained/avoided and the incremental increase/decrease in economic costs arising from the intervention compared with usual care. Significant assumptions were tested in sensitivity/uncertainty analyses. Results: The intervention produced, across all gestational ages, 31 fewer cases of PE and reduced aggregate economic health-service costs by 1 431 186 Australian dollars over the 2-year period. None of the tested iterations of uncertainty analyses reported additional cases of PE or higher economic costs. The new intervention based on first-trimester screening dominated usual care. Conclusion: This cost-effectiveness analysis demonstrated a reduction in prevalence of preterm PE and substantial cost savings associated with a population-based program of first-trimester prediction and prevention of PE, and supports implementation of such a policy. © 2020 International Society of Ultrasound in Obstetrics and Gynecology.

Objectives To (1) apply the Framework to Assess the Impact from Translational health research (FAIT) to Lessons from the Best to Better the Rest (LFTB), (2) report on impacts from LFTB and (3) assess the feasibility and outcomes from a retrospective application of FAIT. Setting Three Indigenous primary healthcare (PHC) centres in the Northern Territory, Australia; project coordinating centre distributed between Townsville, Darwin and Cairns and the broader LFTB learning community across Australia. Participants LFTB research team and one representative from each PHC centre. Primary and secondary outcome measures Impact reported as (1) quantitative metrics within domains of benefit using a modified Payback Framework, (2) a cost-consequence analysis given a return on investment was not appropriate and (3) a narrative incorporating qualitative evidence of impact. Data were gathered through in-depth stakeholder interviews and a review of project documentation, outputs and relevant websites. Results LFTB contributed to knowledge advancement in Indigenous PHC service delivery; enhanced existing capacity of health centre staff, researchers and health service users; enhanced supportive networks for quality improvement; and used a strengths-based approach highly valued by health centres. LFTB also leveraged between A1.4 and A1.6 million for the subsequent Leveraging Effective Ambulatory Practice (LEAP) Project to apply LFTB learnings to resource development and creation of a learning community to empower striving PHC centres. Conclusion Retrospective application of FAIT to LFTB, although not ideal, was feasible. Prospective application would have allowed Indigenous community perspectives to be included. Greater appreciation of the full benefit of LFTB including a measure of return on investment will be possible when LEAP is complete. Future assessments of impact need to account for the limitations of fully capturing impact when intermediate/final impacts have not yet been realised and captured.

The impact of pre-pregnancy obesity and maternal diet quality on the use of healthcare resources during the perinatal period is underexplored. We assessed the effects of body mass index (BMI) and diet quality on the use of healthcare resources, to identify whether maternal diet quality may be effectively targeted to reduce antenatal heath care resource use, independent of women's BMI. Cross-sectional data and inpatient medical records were gathered from pregnant women attending publicly funded antenatal outpatient clinics in Newcastle, Australia. Dietary intake was self-reported, using the Australian Eating Survey (AES) food frequency questionnaire, and diet quality was quantified from the AES subscale, the Australian Recommended Food Score (ARFS). Mean pre-pregnancy BMI was 28.8 kg/m2 (range: 14.7 kg/m2¿64 kg/m2). Mean ARFS was 28.8 (SD = 13.1). Higher BMI was associated with increased odds of caesarean delivery; women in obese class II (35.0¿39.9 kg/m2) had significantly higher odds of caesarean delivery compared to women of normal weight, (OR = 2.13, 95% CI 1.03 to 4.39; p = 0.04). Using Australian Refined Diagnosis Related Group categories for birth admission, the average cost of the birth admission was $1348 more for women in the obese class II, and $1952 more for women in the obese class III, compared to women in a normal BMI weight class. Higher ARFS was associated with a small statistically significant reduction in maternal length of stay (RR = 1.24, 95% CI 1.00, 1.54; p = 0.05). There was no evidence of an association between ARFS and mode of delivery or "midwifery-in-the-home-visits".

Introduction: The detection of harmful alcohol use and the delivery of brief advice in primary care are less than optimal. Given limited health care resources, deciding where best to allocate funding to optimize health outcomes is imperative. A simple data-based tool could be useful when access to specialist health economic advice is unavailable. This study aimed to examine the utility of a simple data-based calculator to facilitate priority setting in general practice for reducing alcohol-related harm. Methods: A simple algorithm was developed within Microsoft Excel to allow comparison of hypothetical intervention scenarios that aimed to increase detection and brief advice for harmful alcohol use in general practice. The calculator accommodated varying implementation costs, size of effect and reach for each scenario created. The incremental costs of the intervention scenarios, the incremental number of successes (i.e. abstinence or drinking at safe levels) and the incremental costs-effectiveness ratio (ICER) were calculated for each hypothetical scenario and compared with a usual care scenario. Results: In the hypothetical scenarios modelled, increasing both the detection of harmful alcohol consumption and the provision of brief advice produced the greatest number of incremental successes above baseline. Increasing detection alone produced fewer incremental successes but was the most cost-effective approach, as indicated by the lowest ICER. Discussion: The data-based calculator provides a simple method of exploring reach and cost-effectiveness outcomes without the need for any specific skills. Although this approach has limitations, the calculator can be used by decision makers to guide intervention planning.