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BackgroundTelemonitoring enables care providers to remotely support outpatients in self-managing chronic heart failure (CHF), but the objective assessment of patient compliance with self-management recommendations has seldom been studied. ObjectiveThis study aimed to evaluate patient compliance with self-management recommendations of an innovative telemonitoring enhanced care program for CHF (ITEC-CHF). MethodsWe conducted a multicenter randomized controlled trial with a 6-month follow-up. The ITEC-CHF program comprised the provision of Bluetooth-enabled scales linked to a call center and nurse care services to assist participants with weight monitoring compliance. Compliance was defined a priori as weighing at least 4 days per week, analyzed objectively from weight recordings on the scales. The intention-to-treat principle was used to perform the analysis. ResultsA total of 184 participants (141/184, 76.6% male), with a mean age of 70.1 (SD 12.3) years, were randomized to receive either ITEC-CHF (n=91) or usual care (control; n=93), of which 67 ITEC-CHF and 81 control participants completed the intervention. For the compliance criterion of weighing at least 4 days per week, the proportion of compliant participants in the ITEC-CHF group was not significantly higher than that in the control group (ITEC-CHF: 67/91, 74% vs control: 56/91, 60%; P=.06). However, the proportion of ITEC-CHF participants achieving the stricter compliance standard of at least 6 days a week was significantly higher than that in the control group (ITEC-CHF: 41/91, 45% vs control: 23/93, 25%; P=.005). ConclusionsITEC-CHF improved participant compliance with weight monitoring, although the withdrawal rate was high. Telemonitoring is a promising method for supporting both patients and clinicians in the management of CHF. However, further refinements are required to optimize this model of care. Trial RegistrationAustralian New Zealand Clinical Trial Registry ACTRN12614000916640; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=366691

Antimicrobial resistance (AMR) is a global pandemic, however, estimating its burden is a complex process. As a result, many countries rely on global estimates to infer burden within their own setting. With a growing number of recent publications quantifying AMR burden in Australia, and an expansion of surveillance programs, enumerating AMR mortality for Australia is feasible. We aimed to leverage existing published data to assess methodological factors contributing to the considerable variation in AMR-related mortality and provide two reliable estimates of AMR mortality in Australia. This is a necessary step towards generating meaningful measures of AMR burden in Australia. What is known about the topic? Antimicrobial resistance is a significant global health threat, but estimating the burden of disease is complicated by data challenges. What does this paper add? This paper highlights progress in estimating the number of people dying from antimicrobial resistance in Australia and highlights the importance of rigorous antimicrobial resistance mortality estimates in Australia to assess burden of disease. What are the implications for practitioners? Practitioners should use only rigorous estimates of burden of disease to inform actions on reducing the threat of antimicrobial resistance. [ABSTRACT FROM AUTHOR]

Many studies have stressed the importance of psychosocial determinants of health such as food insecurity, housing instability, and education level, as important drivers of health outcomes. Western Health developed a set of nine screening questions (the Western 9) based on psychosocial measures to profile patients enrolled in the HealthLinks Chronic Care initiative. An aggregate score was then converted into a Low, Medium and High risk profiles. The aim of the study was to see if the Western 9 questions added additional discriminative power to existing risk of readmission algorithms. Results show that the inclusion of the risk profiles significantly improved model fit and calibration compared to a baseline risk model. Suggestions for further refinement include developing weighted indices for the Western 9 to improve model fit. [ABSTRACT FROM AUTHOR]

Identifying potentially fraudulent or wasteful medical insurance claims can be difficult due to the large amounts of data and human effort involved. We applied unsupervised machine learning to construct interpretable models which rank variations in medical provider claiming behaviour in the domain of unilateral joint replacement surgery, using data from the Australian Medicare Benefits Schedule. For each of three surgical procedures reference models of claims for each procedure were constructed and compared analytically to models of individual provider claims. Providers were ranked using a score based on fees for typical claims made in addition to those in the reference model. Evaluation of the results indicated that the top-ranked providers were likely to be unusual in their claiming patterns, with typical claims from outlying providers adding up to 192% to the cost of a procedure. The method is efficient, generalizable to other procedures and, being interpretable, integrates well into existing workflows. [ABSTRACT FROM AUTHOR]

Objective: To determine whether after‐hours presentation to EDs is associated with differences in 7‐day and 30‐day mortality. The influence of patient case‐mix and workforce staffing differences are also explored. Methods: We conducted a retrospective observational study of 3.7 million ED episodes across 30 public hospitals in Queensland, Australia during May 2013–September 2015 using routinely collected hospital data linked to hospital staffing data and the death registry. Episodes were categorised as within/after‐hours using time of presentation. Staffing was derived from payroll records and explored by defining 11 staffing ratios. Results: Weekend presentation was slightly more associated (7‐day mortality odds ratio 1.05, 95% confidence interval [CI] 1.01–1.10) or no more associated (30‐day mortality odds ratio 1.01, 95% CI 0.98–1.03) with death than weekday presentation. When weeknights are included in the 'after‐hours' period, odds ratios are smaller, so that after‐hours presentation is no more associated (7‐day mortality odds ratio 1.03, 95% CI 0.99–1.08) or less associated (30‐day mortality odds ratio 0.95, 95% CI 0.93–0.97) with death. No significant after‐hours patient case‐mix differences were observed between weekday and weekend presentations for 7‐day mortality. In other combinations of outcome and after‐hours definition, some differences (especially measures relating to severity of presenting condition) were found. Staffing ratios were not strongly associated with any within/after‐hours differences in ED mortality. Conclusions: After‐hours presentation on the weekend to an ED is associated with higher 7‐day mortality even after controlling for case‐mix. [ABSTRACT FROM AUTHOR]

Aim: To describe the relationship between emergency department (ED) diagnosis of infectious disease and immunisation status in children ≤5 years. We also aimed to demonstrate feasibility of proof-of-concept linkage between disparate databases.Methods: Data from a cohort of 3404 children born in Southeast Queensland/Far North New South Wales between 2006 and 2011 were linked to Australian Childhood Immunisation Registry data and Emergency Department Information System data for presentations between 2006 and 2014. Immunisation status was assigned using the 2009 National Immunisation Program schedule.Results: Of 1490 children (79% of those consented) with data on immunisation status, 87.2 and 84.6% were fully immunised by 12 and 24 months, respectively. Adding partially immunised children increased this to 93.2 and 91.4% at 12 and 24 months, respectively. Nearly two-thirds of all children made at least one ED presentation. Children presenting to ED with an infectious disease did not differ in immunisation status compared to children with other (non-infectious disease type) presentations but were younger, more likely to live with other children and had a longer ED stay and higher admission rate. Respiratory syncytial virus (RSV) was more frequently diagnosed in unimmunised children.Conclusions: In an existing birth cohort, immunisation rates were lower than the national average. RSV was more prevalent in unimmunised children presenting to ED, but immunisation status was not significantly associated with other infectious disease presentations. Linkage between national immunisation data and Australian ED data is feasible and has the potential to identify previously unrecognised factors related to child immunisation status and health-care utilisation. [ABSTRACT FROM AUTHOR]

Quantifying the health workforce in terms of overall staff numbers and their ratio to patients under their care can strengthen analytical studies designed to inform policy regarding how hospital services are delivered. Information about staffing is traditionally obtained via location-specific audits or self-reported information gleaned from surveys which hold potential biases around time-dependence and recall. In contrast, work presented in this paper describes the derivation of useful workforce metrics from routine hospital financial and clinical information systems that overcome these biases. Staffing data is aggregated, visualised and linked to patient demand to gain insight into spatial and temporal variations in hospital staffing and workload. Overall, hospital staff resourcing varies noticeably across a week, with staff numbers and staff-to-patient ratios dropping to low levels at night and across a weekend. Exploration of staff-to-staff ratios allows further insight into staff dynamics across a week and the variation of supervision level. [ABSTRACT FROM AUTHOR]

The increasing demand for healthcare and the static resources available necessitate data driven improvements in healthcare at large scale. The SnoMAP tool was rapidly developed to provide an automated solution that transforms and maps clinician-entered data to provide data which is fit for both administrative and clinical purposes. Accuracy of data mapping was maintained. [ABSTRACT FROM AUTHOR]