Australian Set Research Articles

Truth-telling about (Teacher) education as settler-colonial project: ‘The past is always with us’

ABSTRACT One of the Editors’ 2022 Challenges to the Field was: What is the story this government wants us to tell our children? What is education for? Continuing this conversation leads to a related question: What can be learnt from reviewing the history of schooling in Australia in this light? I argue here that the nation’s founding discourse of White Australia produced a purposeful project of schooling and teacher education designed to ‘keep rural Australia white’. This also led to the disassociation of rural education and Aboriginal education that remains problematic for rural schools today. As a form of truth-telling from a non-Indigenous perspective, I offer a basis for reflection on the extent to which 21st Century educational practices continue to (re)produce this discourse. Understanding the past – about how the newly federated Australian states century set out to educate their future citizens – is crucial for teacher education aiming for social and environmental justice and change. An anti-colonialist reading of this history of colonial settler schooling might help us understand why the discourse of White Australia (and the systematic regimes of ‘truth’ about our country, its original inhabitants, and its waves of new settler-citizens) has remained so powerful over time.

Comparing the measurement properties of the EQ-5D-5L, SF-6Dv2, QLU-C10D and FACT-8D among survivors of classical Hodgkin's lymphoma.

This study aimed to evaluate the measurement properties of EQ-5D-5L, SF-6Dv2, QLU-C10D, and FACT-8D in survivors of Classical Hodgkin's Lymphoma (CHL). A cross-sectional, web-based survey was conducted from May to August 2022 to collect data. Chinese value sets were used to estimate the utility scores for EQ-5D-5L, SF-6Dv2, and QLU-C10D, while the Australian value set was used for FACT-8D. The measurement properties assessed included ceiling and floor effects, convergent validity (assessing associations between similar dimensions/utility scores using Spearman's rank correlation and intraclass correlation coefficient), and known-group validity (measures could differentiate health-related quality of life (HRQoL) between risk groups). A total of 534 CHL survivors participated in the survey and completed the questionnaire. All dimensions of EQ-5D-5L, SF-6D (except for vitality), QLU-C10D, and FACT-8D showed ceiling effects, ranging from 18 to 91.6%. The EQ-5D-5L demonstrated the higher ceiling effects compared to other measures, with 33% of patients reporting full health on this scale. All 30 pairs of associations between similar dimensions from the four measures were statistically significant, with correlation coefficients ranging from 0.29 to 0.77. Regarding utility scores, the EQ-5D-5L utility score showed a stronger correlation with SF-6Dv2 than with the other two measures. Statistically significant correlations of utility scores between the four measures were observed. EQ-5D-5L can significantly differentiate HRQoL among all known-groups, while SF-6Dv2, QLU-C10D, and FACT-8D showed a less strong discriminant ability. EQ-5D-5L outperformed SF-6Dv2 in terms of agreement with cancer-specific PRMs and discriminant ability. However, SF-6Dv2 showed stronger associations with similar dimensions of QLU-C10D and FACT-8D, indicating high convergent validity. The generic PBMs are sensitive enough to measure HRQoL in survivors of CHL.

How Does the New Australian EQ-5D-5L Value Set Impact Utility Scores? Analysis of Data from the Australian Orthopaedic Association National Joint Replacement Registry.

With advances in health state valuation methods, new value sets may be developed for some countries. Quantifying the impact of moving between existing and new value sets is critical for guiding decisions around utility score interpretation, reporting and comparison with published scores. The aim of this study is to examine, using large-scale national registry data, how the new Australian EQ-5D-5L value set impacts utility scores for patients undergoing joint replacement. Data from the Australian Orthopaedic Association National Joint Replacement Registry were used for this analysis. All primary total hip (THR), knee (TKR), and shoulder replacement (TSR) procedures between 2018 and 2022 with pre-operative and 6-month post-operative EQ-5D-5L data were included. Utility scores were generated using the 2013 and 2023 Australian value sets ('previous' and 'new' value sets, respectively) and analysed descriptively for each joint replacement cohort. Agreement between the two utility score sets was evaluated using concordance correlation coefficients and Bland-Altman plots. EQ-5D-5L data were available for 17,576 THR, 23,010 TKR, and 1667 TSR procedures. The new value set produced a lowest possible EQ-5D-5L utility score of -0.30 (compared with -0.68 previously) and fewer patients had 'worse-than-dead' quality of life (score < 0.00) before surgery. Mean pre-operative scores were 0.21 (THR), 0.19 (TKR), and 0.17 (TSR) units higher with the new value set, and mean post-operative scores were 0.11-0.14 units higher. The new value set resulted in smaller effect sizes for the THR (1.08 versus 1.23) and TKR cohorts (0.86 versus 0.92). There was moderate-to-good overall agreement (coefficients: 0.70-0.80), but concordance varied by time point. Although acceptable agreement was evident, the new Australian value set produces less extreme negative utility scores and markedly higher group-level scores. Transition to reporting new EQ-5D-5L utility scores will require accompanying explanation to signal measurement modifications rather than better quality of life.

Assessing Decision Fatigue in General Practitioners' Prescribing Decisions Using the Australian BEACH Data Set.

General practitioners (GPs) make numerous care decisions throughout their workdays. Extended periods of decision making can result in decision fatigue, a gradual shift toward decisions that are less cognitively effortful. This study examines whether observed patterns in GPs' prescribing decisions are consistent with the decision fatigue phenomenon. We hypothesized that the likelihood of prescribing frequently overprescribed medications (antibiotics, benzodiazepines, opioids; less effortful to prescribe) will increase and the likelihood of prescribing frequently underprescribed medications (statins, osteoporosis medications; more effortful to prescribe) will decrease over the workday. This study used nationally representative primary care data on GP-patient encounters from the Bettering the Evaluation and Care of Health program from Australia. The association between prescribing decisions and order of patient encounters over a GP's workday was assessed with generalized linear mixed models accounting for clustering and adjusting for patient, provider, and encounter characteristics. Among 262,456 encounters recorded by 2,909 GPs, the odds of prescribing antibiotics significantly increased by 8.7% with 15 additional patient encounters (odds ratio [OR] = 1.087; confidence interval [CI] = 1.059-1.116). The odds of prescribing decreased significantly with 15 additional patient encounters by 6.3% for benzodiazepines (OR = 0.937; CI = 0.893-0.983), 21.9% for statins (OR = 0.791; CI = 0.753-0.831), and 25.0% for osteoporosis medications (OR = 0.750; CI = 0.690-0.814). No significant effects were observed for opioids. All findings were replicated in confirmatory analyses except the effect of benzodiazepines. GPs were increasingly likely to prescribe antibiotics and were less likely to prescribe statins and osteoporosis medications as the workday wore on, which was consistent with decision fatigue. There was no convincing evidence of decision fatigue effects in the prescribing of opioids or benzodiazepines. These findings establish decision fatigue as a promising target for optimizing prescribing behavior. We found that as general practitioners progress through their workday, they become more likely to prescribe antibiotics that are reportedly overprescribed and less likely to prescribe statins and osteoporosis medications that are reportedly underprescribed.This change in decision making over time is consistent with the decision fatigue phenomenon. Decision fatigue occurs when we make many decisions without taking a rest break. As we make those decisions, we become gradually more likely to make decisions that are less difficult.The findings of this study show that decision fatigue is a possible target for improving guideline-compliant prescribing of pharmacologic medications.

Using patient feedback to predict effects of quality improvement initiatives.

Internationally, continuous efforts have been put into developing patient complaint channels to understand patients' experience and expectation of care, which can guide the improvement of health service quality. Despite agreement among the value of patient feedback, limited attention has been paid to using patient feedback to predict and promote the actual quality improvement initiatives. To determine whether patient feedback collected from a public feedback hotline can be used to predict the effect of hospital quality service improvement initiatives. A retrospective analysis of patient complaint data of a tertiary hospital from 2018 to 2021 was performed. Patient complaints were first coded by the standard classification method of the Australian Hospital Patient Experience Question Set. The characteristics of patients' complaints were then analysed by frequency and contingency table analysis. Finally, through Nonparametric Mann-Kendall test and Joinpoint regression model, the trends of each complaint characteristics were tested. Amongst the 771 complaints received against clinicians, approximately 75% of them were concerning doctors. 'Harm and distress' was the key reason of complaints, followed by 'not cared for', 'lack of confidence', 'needs unmet' and 'not informed'. In 2021, the number of complaints received in relation to moderate 'harm and distress' caused by doctors increased by 667% from 2020. The categories of 'not informed', 'not cared for' and 'harm and distress' were also on the rise with statistical significance. In addition, complaints related to the lack of respect, bad attitude and unprofessional behaviour demonstrated by nurses (n=83) and doctors (n=121) were also recorded. Patient feedbacks collected via a public feedback hotline provides a useful platform to gain insight into patient experience of care which are valuable to guide quality care improvement. To improve the care quality, clinicians need to participate in quality improvement strategies development at an early stage. Efforts in improving communication and interaction between doctors and patients are needed to improve patients' experience of care and developing patients' trust in both of the clinicians and the medical services. The study highlights the value of using public feedback hotline to generate evidence that can guide hospital service improvement.

Australian Hospital Experiences of People Living with Deafblindness or Dual Sensory Impairment: The Report Card.

Gaps abound in the literature about what happens when people living with deafblindness or dual sensory impairment (DBDSI) go to the hospital. Anecdotally, from my lived experiences and professional work, as well as from within communities, stories are told about how hazardous it is to be a patient in an Australian hospital for those living with DBDSI. This paper outlines a quantitative component of a mixed-methods study examining the intricacies of these experiences. The research objective was to discover what hospital interactions looked like for patients living with DBDSI. A constrained question set was used, namely, the Australian hospital experience question set (AHPEQS 2017). It asked patients about key factors in their hospital interactions. The results form a distressing snapshot of care and communication interactions. Experiences of flouting protective conventions, dehumanisation, neglect, discrimination, disparate care, inaccessible consent forms, and a lack of communication predominate. The participants reported experiences from multiple different hospitals, so these findings suggest a broad culture of failing to provide patient-centred care and accessible-to-the-patient communication. The findings showcase the urgency for more research and remedial actions to be undertaken by both professionals and institutions.

Indigenous approaches to health assessment: a scoping review protocol

BackgroundHealth assessment tools developed using mainstream or Western concepts have been widely used in clinical practice worldwide. However, even culturally adapted or culturally based tools may not be relevant in other social contexts if they are grounded in Western beliefs and perspectives. The application of mainstream assessment tools, when used in Indigenous populations, can lead to the inappropriate application of normative data and inaccurate or biased diagnosis of conditions as Indigenous concepts of health differ from Western biomedical concepts of health. Thus, considering the need for culturally meaningful, sensitive, safe, and unbiased health assessment approaches and instruments over recent years, tools have been developed or adapted by and with Indigenous populations in Australia, Aotearoa/New Zealand, Canada, and the United States. However, there is no existing systematic or scoping review to identify the methods and approaches used in adapting or developing health assessment tools for use with the Indigenous population in Australia, Aotearoa/New Zealand, Canada, and the United States.MethodsIn response to these gaps, we are working with a First Nations Community Advisory Group in Northern Ontario, Canada, to undertake a scoping review following the 2020 JBI methodology for scoping reviews. A systematic search will be conducted in PubMed, APA PsychINFO, CINAHL, MEDLINE, Web of Science, Bibliography of Native North Americans, Australian Indigenous Health info data set, and Indigenous Health Portal. Two reviewers will independently screen all abstracts and full-text articles for inclusion using criteria co-developed with an advisory group. We will chart the extracted information and summarize and synthesize the data. The summarized findings will be presented to a Community Advisory Group, including First Nations community partners, an Elder, and community members, and their feedback will be incorporated into the discussion section of the scoping review.DiscussionThis scoping review involves iterative consultation with the Indigenous and non-Indigenous scholars, First Nations Community Advisory Group, and community partners throughout the research process. This review aims to summarize the evidence on standard ethical approaches and practices used in Indigenous research while adapting or developing health assessment tools. It will inform the larger study focused on developing an Indigenous Functional Assessment tool. Further, it will seek whether the Indigenous ways of knowing and equitable participation of Indigenous people and communities are incorporated in the Indigenous research process.Systematic review registrationOpen Science Framework https://osf.io/yznwk.

EQ-5D-5L Population Norms and Quality-Adjusted Life Expectancy by Sociodemographic Characteristics and Modifiable Risk Factors for Adults in Queensland, Australia

ObjectivesOver half of Australia’s disease burden is due to morbidity, predominantly chronic conditions. Health-related quality of life instruments provide measures of morbidity and health status across different dimensions with EQ-5D being one of the most widely used. This study reports EQ-5D-5L general population norms for Queensland, Australia using the recently published Australian value set. MethodsPopulation survey results from cross-sectional computer-assisted telephone interviews for Queensland adults in 2022 and 2023 were analyzed. EQ-5D-5L, as well as modifiable risk factors and sociodemographic data were collected. Using the recently published final Australian EQ-5D-5L value set, mean utility scores were calculated for Queensland, as well as by sociodemographic characteristics, including remoteness and socioeconomic area-based measures, and modifiable risk factors, such as smoking and body mass index. Results were combined with life tables to estimate quality-adjusted life expectancy (QALE) for subgroups with different lifestyles. ResultsThe EQ-5D utility score for the Queensland adult population was 0.916. Smoking daily, being obese or older in age, or living in the most disadvantaged socioeconomic area were associated with lower mean scores. QALE was 6.1 and 7.9 years shorter than the life expectancy for Queensland males and females, respectively, but generally, those who reported having healthier lifestyles had higher mean utility scores and thus longer QALE. ConclusionsIn addition to reporting Queensland EQ-5D-5L general population norms, these results demonstrate potential QALE gains in people following healthier lifestyles. The results support investment in prevention and may motivate further studies in this important area.

Health-related quality of life and experience measures, to assess patients’ experiences of peripheral intravenous catheters: a secondary data analysis

BackgroundPeripheral intravenous catheters (PIVCs) are essential for successful administration of intravenous treatments. However, insertion failure and PIVC complications are common and negatively impact patients’ health-outcomes and experiences. We aimed to assess whether generic (not condition-specific) quality of life and experience measures were suitable for assessing outcomes and experiences of patients with PIVCs.MethodsWe undertook a secondary analysis of data collected on three existing instruments within a large randomised controlled trial, conducted at two adult tertiary hospitals in Queensland, Australia. Instruments included the EuroQol Five Dimension - Five Level (EQ5D-5L), the Functional Assessment of Chronic Illness Therapy – Treatment Satisfaction – General measure (FACIT-TS-G, eight items), and the Australian Hospital Patient Experience Question Set (AHPEQS, 12 items). Responses were compared against two clinical PIVC outcomes of interest: all-cause failure and multiple insertion attempts. Classic descriptives were reported for ceiling and floor effects. Regression analyses examined validity (discrimination). Standardised response mean and effect size (ES) assessed responsiveness (EQ5D-5L, only).ResultsIn total, 685 participants completed the EQ5D-5L at insertion and 526 at removal. The FACIT-TS-G was completed by 264 and the AHPEQS by 262 participants. Two FACIT-TS-G items and one AHPEQS item demonstrated ceiling effect. Instruments overall demonstrated poor discrimination, however, all-cause PIVC failure was significantly associated with several individual items in the instruments (e.g., AHPEQS, ‘unexpected physical and emotional harm’). EQ5D-5L demonstrated trivial (ES < 0.20) responsiveness.ConclusionsInitial investigation of an existing health-related quality of life measure (EQ5D-5L) and two patient-reported experience measures (FACIT-TS-G; AHPEQS) suggest they are inadequate (as a summary measure) to assess outcomes and experiences for patients with PIVCs. Reliable instruments are urgently needed to inform quality improvement and benchmark standards of care.

Australian population norms for health-related quality of life measured using the EQ-5D–5L, and relationships with sociodemographic characteristics

BackgroundMeasuring health related quality-of-life (HRQoL) of the general population is essential to establish a reference for health outcome evaluations. This study sought to establish EQ-5D-5L population norms in Australia and to investigate the heterogeneity of HRQoL between sociodemographic variables.MethodsA cross-sectional study comprising of a representative sample of Australia’s general population (n = 9958) aged 18 or older. Recruitment quotas were set for the Australian census population by age, sex, state/territory of residence and rurality. Participants were recruited by Qualtrics through its database of over 800,000 registered panel members and asked to value their own state of health using the EQ-5D-5L domains and the EuroQol-Visual Analogue Scale (EQ-VAS). An Australian value set developed using Discreet Choice Experiment was used to calculate utility scores.ResultsThe estimated mean EQ-5D-5L index for Australia’s general population was 0.86 (standard deviation [SD] 0.19), and the EQ-VAS score was estimated as 73.2 (SD 21.7). 23.9% of the study population reported being in the best health state (11,111). Younger people, current smokers, people who are unemployed and people with more financial stress reported a lower EQ-5D-5L index score (p < 0.001). Residents in the major cities, inner regional and outer regional Australia reported higher health utility scores than those residing in remote and very remote Australia.ConclusionsThis is the first Australian study to apply the EQ-5D-5L in a nationally representative sample. The EQ-5D-5L Australian population norms obtained can be used as reference scores for future population health evaluations and comparisons. The findings facilitate a national reference for clinical, economic, and policy decision-making processes and provide a fuller understanding of the Australian population’s HRQoL.

Comparative effectiveness of etanercept originator and biosimilar for treating rheumatoid arthritis: implications for cost-savings.

This study aimed to assess the comparative effectiveness of the etanercept (ETN) originator (Enbrel) and ETN biosimilar SB4 (Brenzys) as first-line treatment in patients with rheumatoid arthritis (RA), while also exploring the potential cost-savings associated with this approach in Australia. Clinical data were obtained from the Optimising Patient outcomes in rheumatoLogy Australian real-world data set. Adult patients with RA who had initiated treatment with the ETN originator or biosimilar as their first-recorded biologic or targeted synthetic disease-modifying antirheumatic drug between 1 April 2017 and 31 December 2020 were included. Treatment persistence was analysed using survival analysis. Cost-savings were estimated based on data reported by the Australian National Prescribing Service MedicineWise. Propensity score matching followed by inverse probability of treatment weighting selected patients taking originator (n = 209) or biosimilar (n = 141) with similar baseline characteristics and eliminated small differences in baseline disease activity. The median time for 50% of the patients to stop treatment was 19.4 months (95% confidence interval [CI], 14.7-36.4 months) for the originator and 22.4 months (95% CI, 15.0-33.1 months) for the biosimilar (P = 0.95). As a result of pricing policies established by the Australian Government, introduction of the ETN biosimilar would have resulted in a cost-savings of over AU$9.5 million for 1 year of treatment for the patients reported in this study. Treatment persistence using either ETN originator or biosimilar was similar. The cost of all brands of ETN markedly reduced upon listing of the ETN biosimilar, resulting in significant savings for the Australian Government.

Valuing the Dental Caries Utility Index in Australia.

The Dental Caries Utility Index (DCUI) is a new oral health-specific health state classification system for adolescents, consisting of 5 domains: pain/discomfort, difficulty eating food/drinking, worried, ability to participate in activities, and appearance. Each domain has 4 response levels. This study aims to generate an Australian-specific utility algorithm for the DCUI. An online survey was conducted using a representative sample of the adult Australian general population. The discrete choice experiment (DCE) was used to elicit the preferences on 5 domains. Then, the latent utilities were anchored onto the full health-dead scale using the visual analogue scale (VAS). DCE data were modeled using conditional logit, and 2 anchoring procedures were considered: anchor based on the worst health state and a mapping approach. The optimal anchoring procedure was selected based on the model parsimony and the mean absolute error (MAE). A total of 995 adults from the Australian general population completed the survey. The conditional logit estimates on 5 dimensions and levels were monotonic and statistically significant, except for the second level of the "worried" and "appearance" domains. The mapping approach was selected based on a smaller MAE between the 2 anchoring procedures. The Australian-specific tariff of DCUI ranges from 0.1681 to 1. This study developed a utility algorithm for the DCUI. This value set will facilitate utility value calculations from the participants' responses for DCUI in economic evaluations of dental caries interventions targeted for adolescents. Preference-based quality-of-life measures (PBMs), which consist of a health state classification system and a set of utility values (a scoring algorithm), are used to generate utility weights for economic evaluations.This study is the first to develop an Australian utility value set for the Dental Caries Utility Index (DCUI), a new oral health-specific classification system for adolescents.The availability of a utility value set will enable using DCUI in economic evaluations of oral health interventions targeted for adolescents and may ultimately lead to more effective and efficient planning of oral health care services.

A granular sigmoid extreme learning machine and its application in a weather forecast

Extreme Learning Machine (ELM) is a class of machine learning systems or methods based on feedforward neural networks, which are suitable for supervised learning problems. The ELM is regarded as a special kind of FNN in the research, which is characterized by the fact that the weights of hidden layer nodes are randomly or artificially given. As a result, the ELM feature mapping is random. The generic approximation theorem states that any nonlinear piecewise continuous function may be used as the feature map. By introducing the theory of granular computing, this paper proposes a new granulation method of random sigmoid function. The Granular Sigmoid Extreme Learning Machine (GSELM) algorithm was proposed by combining the random sigmoid function with the extreme learning machine algorithm. After granulated data sets are processed by GSELM, the granulated multi-feature data will form granular vectors. The granular vector is processed in parallel, which makes the granular sigmoid extreme learning machine parallel computing. The GSELM is utilized to address the fundamental real-time issue of weather forecasting. The GSELM algorithm can predict whether the next day will be sunny or rainy more accurately and quickly, which is crucial to the field of meteorology. Several UCI data sets are used to test the feasibility of the GSELM algorithm. The verified GSELM algorithm is applied to the Australian weather forecast data set. According to the experimental findings, the GSELM algorithm can predict whether the next day will be sunny or rainy more accurately and quickly.

Correlated compound geometric frailty models based on reversed hazard rate

Frailty models are used in the survival analysis to account for the unobserved heterogeneity in individual risks to disease and death. To analyze the bivariate data on related survival times (e.g. matched pairs experiments, twin or family data), the shared frailty models were suggested. Shared frailty models are used despite their limitations. To overcome their disadvantages correlated frailty models may be used. In this paper, we introduce the correlated compound geometric frailty models based on reversed hazard rate with three different baseline distributions namely, the generalized log-logistic type I, the generalized log-logistic type II and the modified inverse Weibull. We introduce the Bayesian estimation procedure using Markov Chain Monte Carlo (MCMC) technique to estimate the parameters involved in these models. We present a simulation study to compare the true values of the parameters with the estimated values. We also apply the proposed models to the Australian twin data set and a better model is suggested.

Comparative Effectiveness of First-Line Baricitinib in Patients With Rheumatoid Arthritis in the Australian OPAL Data Set.

To analyze comparative treatment persistence for first-line baricitinib (BARI) versus first-line tumor necrosis factor inhibitor (TNFi) in patients with rheumatoid arthritis (RA) and for first-line BARI initiated as monotherapy versus first-line BARI initiated with at least one conventional synthetic disease-modifying antirheumatic drug (csDMARD). Patients with RA who initiated BARI or TNFi as first-line biologic or targeted synthetic DMARD from October 1, 2015, to September 30, 2021, were identified in the OPAL data set. Drug survival times to 6, 12, and 24 months were analyzed using restricted mean survival time (RMST). Multiple imputation and inverse probability of treatment weighting were used to address missing data and nonrandom treatment assignment. A total of 545 patients initiated first-line BARI, including 118 as monotherapy and 427 as csDMARD combination therapy. Three thousand five hundred patients initiated first-line TNFi. There was no difference in drug survival to 6 or 12 months for BARI compared with TNFi; differences in RMST were 0.02 months (95% CI: -0.08 to 0.013; P = 0.65) and 0.31 months (95% CI: -0.02 to 0.63; P = 0.06), respectively. Patients in the BARI group had 1.00 month (95% CI: 0.14 to 1.86; P = 0.02) longer drug survival to 24 months. There was no difference in drug survival for BARI monotherapy compared with combination therapy, with differences in RMST to 6, 12, and 24 months of -0.19 months (95% CI: -0.50 to 0.12; P = 0.12), -0.35 months (95% CI: -1.17 to 0.42; P = 0.41), and -0.56 months (95% CI: -2.66 to 1.54; P = 0.60), respectively. In this comparative analysis, treatment persistence up to 24 months was significantly longer for first-line BARI compared with TNFi, but the effect size of 1.00 month is not clinically meaningful. There was no difference in persistence for BARI monotherapy versus combination therapy.

Developing an Australian utility value set for MacNew-7D health states.

A new preference-based measure (MacNew-7D) has recently been developed to allow condition-specific data to be used to capture the quality of life in health economic evaluations in cardiology; however, a general population value set has not yet been developed. This study developed a population utility value set for the MacNew-7D heart disease-specific instrument. The discrete choice experiments (DCE) technique was chosen as the preference-elicitation method. The DCE asked respondents to compare two options and to state their preferences. The survey was conducted using an online panel of respondents, with quota sampling using age groups, sex and jurisdictions to achieve representativeness of the Australian population. The total design consisted of 200 choice sets, of which each respondent answered eight. Additionally, each respondent answered two quality control choice sets. The best-fitting models were selected on the basis of consistency, parsimony, and goodness of fit. In total, 1903 respondents were included in the analyses. The MacNew-7D utility value set ranged from -0.4456 to 1.000 for health states defined by the classification system. The best-fitting model retained all levels for five dimensions and collapsed one adjacent level for the other two dimensions. Findings were robust to sensitivity analyses related to the inclusion or exclusion of dominancy and repeat tasks. Findings indicated that the MacNew-7D utility value set is likely suitable for estimating quality-adjusted life years derived from the MacNew heart disease health-related quality-of-life questionnaire. This value set was derived from an Australian population-based sample and may not be generalisable to dissimilar populations.

Evidence for publicly reported quality indicators in residential long-term care: a systematic review

BackgroundAn increasing number of countries are using or planning to use quality indicators (QIs) in residential long-term care. Knowledge regarding the current state of evidence on usage and methodological soundness of publicly reported clinical indicators of quality in nursing homes is needed. The study aimed to answer the questions: 1) Which health-related QIs for residents in long-term care are currently publicly reported internationally? and 2) What is the methodological quality of these indicators?MethodsA systematic search was conducted in the electronic databases PubMed, CINAHL and Embase in October 2019 and last updated on August 31st, 2022. Grey literature was also searched. We used the Appraisal of Indicators through Research and Evaluation (AIRE) instrument for the methodological quality assessment of the identified QIs.ResultsOf 23′344 identified records, 22 articles and one report describing 21 studies met the inclusion criteria. Additionally, we found 17 websites publishing information on QIs. We identified eight countries publicly reporting a total of 99 health-related QIs covering 31 themes. Each country used between six and 31 QIs. The most frequently reported indicators were pressure ulcers, falls, physical restraints, and weight loss. For most QI sets, we found basic information regarding e.g., purpose, definition of the indicators, risk-adjustment, and stakeholders’ involvement in QIs’ selection. Little up to date information was found regarding validity, reliability and discriminative power of the QIs. Only the Australian indicator set reached high methodological quality, defined as scores of 50% or higher in all four AIRE instrument domains.ConclusionsLittle information is available to the public and researchers for the evaluation of a large number of publicly reported QIs in the residential long-term care sector. Better reporting is needed on the methodological quality of QIs in this setting, whether they are meant for internal quality improvement or provider comparison.

Developing an Australian utility value set for the Early Childhood Oral Health Impact Scale-4D (ECOHIS-4D) using a discrete choice experiment

PurposePreference-based quality of life measures (PBMs) are used to generate quality-adjusted life years (QALYs) in economic evaluations. A PBM consists of (1) a health state classification system and (2) a utility value set that allows the instrument responses to be converted to QALYs. A new, oral health-specific classification system, the Early Childhood Oral Health Impact Scale-4D (ECOHIS-4D) has recently been developed. The aim of this study was to generate an Australian utility value set for the ECOHIS-4D.MethodsA discrete choice experiment with duration (DCETTO) was used as the preference elicitation technique. An online survey was administered to a representative sample of Australian adults over 18 years. Respondents were given 14 choice tasks (10 tasks from the DCE design of 50 choice sets blocked into five blocks, 2 practice tasks, a repeated and a dominant task). Data were analyzed using the conditional logit model.ResultsA total of 1201 respondents from the Australian general population completed the survey. Of them, 69% (n = 829) perceived their oral health status to be good, very good, or excellent. The estimated coefficients from the conditional logit models were in the expected directions and were statistically significant (p < 0.001). The utility values for health states defined by the ECOHIS-4D ranged from 0.0376 to 1.0000.ConclusionsThis newly developed utility value set will enable the calculation of utility values for economic evaluations of interventions related to oral diseases such as dental caries among young children. This will facilitate more effective resource allocation for oral health services.

Development of the Australian hospital patient experience question set for parents

<h2>ABSTRACT</h2><h3>Background</h3> The Australian Commission on Safety and Quality in Health Care developed the Australian Hospital Patient Experience Question Set to ask adult patients about their experience of inpatient care. This question set was not validated for paediatric care. <h3>Aim</h3> To adapt and validate the Australian Hospital Patient Experience Question Set for parents and carers of children who received inpatient care. <h3>Methods</h3> Interviews with fourteen parents and carers were conducted. Content analysis was used to revise the question set and to identify experience specific to children and parents. The Question Set was revised, including three new questions to reflect parent experience. Content validity of each new question was assessed. Data was split and construct validity assessed using exploratory and confirmatory factor analysis (n=1500). <h3>Findings</h3> Two main qualitative categories of care included ‘parent experience' and ‘children being heard'. Emotional support was an integral aspect of parent experience. The revised question set (13-question, one-factor model of good fit) demonstrated construct validity (n=500: Root Mean Square Error of Approximation=0.042, Confirmatory Fit Index=0.997, Tucker Lewis Index=0.996, Composite reliability=0.962). <h3>Discussion</h3> This study adds empirical support for a common measurement framework for experience of care in children's health services. Parents spoke of the value of having a parent and a child reported survey. The next step is for children to report on their own experience. <h3>Conclusion</h3> The revised (parent-reported) question set provides a validated tool which reflects the unique experience of parents and facilitates consistent monitoring and improvement of patient experience in a paediatric inpatient setting.

Soil spectroscopy with the Gaussian pyramid scale space

Soil visible-near infrared (vis–NIR) spectra are complex and modeling soil properties can be challenging. They can suffer from additive and multiplicative noise, they are hyper-dimensional and highly collinear, making their analyses and interpretation sometimes difficult. Here, we introduce the Gaussian pyramid scale space as a multi-resolution approach for denoising spectra, reducing dimensionality, and improving the interpretability and accuracy of spectroscopic machine learning. We also used the approach to analyse contextual interactions between different resolutions and the stability of feature importance across different resolutions. Using an Australian data set and the German data in the LUCAS spectral database we found that with a single Gaussian scale that represents a relatively coarse spectral resolution, we could estimate organic carbon, clay and pH as accurately as with multiple Gaussian scales, or using all resolutions. This indicates that, in the vis–NIR range, there are no relevant interactions between resolutions, which simplifies interpretations. We conclude that the Gaussian pyramid scale space can help to model soil properties with spectral machine learning, improving both accuracy and interpretability. Because the Gaussian pyramid approach is computationally efficient, it can also be used for preprocessing and knowledge discovery before more elaborate modeling is applied.