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INTRODUCTION: 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. METHODS: 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). RESULTS: 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. CONCLUSION: 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. HIGHLIGHTS: 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-spe

INTRODUCTION: 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. METHODS: 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). RESULTS: 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. CONCLUSION: 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. HIGHLIGHTS: 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-spe

INTRODUCTION: 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. METHODS: 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). RESULTS: 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. CONCLUSION: 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. HIGHLIGHTS: 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-spe

OBJECTIVE: This study sought whether higher risk patients with coronary heart disease (CHD) benefit more from intensive disease management. DESIGN: Longitudinal cohort study. SETTING: State-wide public hospitals (Queensland, Australia). PARTICIPANTS: This longitudinal study included 20 426 patients hospitalised in 2010 with CHD as the principal diagnosis. Patients were followed-up for 5 years. PRIMARY AND SECONDARY OUTCOMES AND MEASURES: The primary outcome was days alive and out of hospital (DAOH) within 5 years of hospital discharge. Secondary outcomes included all-cause readmission and all-cause mortality. A previously developed and validated risk score (PEGASUS-TIMI54) was used to estimate the risk of secondary events. Data on sociodemography, comorbidity, interventions and medications were also collected. RESULTS: High-risk patients (n=6573, risk score ≥6) had fewer DAOH (∆=-142 days (95% CI: -152 to -131)), and were more likely to readmit or die (all p<0.001) than their low-risk counterparts (n=13 367, risk score <6). Compared with patients who were never prescribed a medication, those who consumed maximal dose of betablockers (∆=39 days (95% CI: 11 to 67)), angiotensin-converting enzyme inhibitors/angiotensin receptor blockers (∆=74 days (95% CI: 49 to 99)) or statins (∆=109 days (95% CI: 90 to 128)) had significantly greater DAOH. Patients who received percutaneous coronary intervention (∆=99 days (95% CI: 81 to 116)) or coronary artery bypass grafting (∆=120 days (95% CI: 92 to 148)) also had significantly greater DAOH than those who did not. The effect sizes of these therapies were significantly greater in high-risk patients, compared with low-risk patients (interaction p<0.001). Analysis of secondary outcomes also found significant interaction between both medical and interventional therapies with readmission and death, implicating greater benefits for high-risk patients. CONCLUSIONS: CHD patients can be effectively risk-stratified, and use of this inform

BACKGROUND: One-third of peripheral intravenous catheters (PIVCs) fail from inflammatory or infectious complications, causing substantial treatment interruption and replacement procedures. OBJECTIVES: We aimed to compare complications between integrated PIVCs (inbuilt extension sets, wings, and flattened bases) and traditional nonintegrated PIVCs. DESIGNS, SETTINGS AND PARTICIPANTS: A centrally randomized, controlled, superiority trial (with allocation concealment until study entry) was conducted in three Australian hospitals. Medical-surgical patients (one PIVC each) requiring intravenous therapy for >24 h were studied. MAIN OUTCOME MEASURES: The primary outcome was device failure (composite: occlusion, infiltration, phlebitis, dislodgement, local, or bloodstream infection). Infection endpoints were assessor-masked. The secondary outcomes were: failure type, first-time insertion success, tip colonization, insertion pain, dwell time, mortality, costs, health-related quality of life, clinician, and patient satisfaction. RESULTS: Out of 1759 patients randomized (integrated PIVC, n = 881; nonintegrated PIVC, n = 878), 1710 (97%) received a PIVC and were in the modified intention-to-treat analysis (2269 PIVC-days integrated; 2073 PIVC-days nonintegrated). Device failure incidence was 35% (145 per 1000 device-days) nonintegrated, and 33% (124 per 1000 device-days) integrated PIVCs. INTERVENTION: Integrated PIVCs had a significantly lower failure risk (adjusted [sex, infection, setting, site, gauge] hazard ratio [HR]: 0.82 [95% confidence interval, CI: 0.69-0.96], p = .015). The per-protocol analysis was consistent (adjusted HR: 0.80 [95% CI: 0.68-0.95], p = .010). Integrated PIVCs had significantly longer dwell (top quartile ≥ 95 vs. ≥84 h). Mean per-patient costs were not statistically different. CONCLUSIONS: PIVC failure is common and complex. Significant risk factors include sex, infection at baseline, care setting, insertion site, catheter gauge, and catheter type. I

Background: Economic-evaluations of Cerebral palsy (CP) were based on utility estimates of health-related quality of life (HRQoL) from generic multi-attribute utility instruments (MAUIs). However, generic instruments had limited use as they could not capture some of the important aspects of living with CP. The Cerebral palsy 6 Dimension (CP-6D) is a disease specific MAUI. In this study, we compared the results of CP-6D with the Assessment of Quality of Life (AQoL-4D), a generic MAUI, and tested the criterion validity of the CP-6D in the general population.Methods:An online survey of the Australian general population (n = 2002), who completed both the AQoL-4D and CP-6D MAUIs, was conducted. Validity was assessed from the correlations between the domains, items and instruments. ANOVA and t-tests were used to assess the instrument's discrimination in different social demographic categories.Results:There was a moderate correlation between the instruments (0.64). Differences in socio-demographic characteristics showed a medium effect size (p < 0.001) in both instruments and had a similar effect on utility weights in both instruments. Although the CP-6D was more sensitive to changes in income and education.Conclusions: Our results suggest that CP-6D and AQoL-4D were measuring a similar underlying construct. Both instruments responded similarly to socio-demographic differences.

Background: Economic-evaluations of Cerebral palsy (CP) were based on utility estimates of health-related quality of life (HRQoL) from generic multi-attribute utility instruments (MAUIs). However, generic instruments had limited use as they could not capture some of the important aspects of living with CP. The Cerebral palsy 6 Dimension (CP-6D) is a disease specific MAUI. In this study, we compared the results of CP-6D with the Assessment of Quality of Life (AQoL-4D), a generic MAUI, and tested the criterion validity of the CP-6D in the general population.Methods:An online survey of the Australian general population (n = 2002), who completed both the AQoL-4D and CP-6D MAUIs, was conducted. Validity was assessed from the correlations between the domains, items and instruments. ANOVA and t-tests were used to assess the instrument's discrimination in different social demographic categories.Results:There was a moderate correlation between the instruments (0.64). Differences in socio-demographic characteristics showed a medium effect size (p < 0.001) in both instruments and had a similar effect on utility weights in both instruments. Although the CP-6D was more sensitive to changes in income and education.Conclusions: Our results suggest that CP-6D and AQoL-4D were measuring a similar underlying construct. Both instruments responded similarly to socio-demographic differences.

Background: Economic-evaluations of Cerebral palsy (CP) were based on utility estimates of health-related quality of life (HRQoL) from generic multi-attribute utility instruments (MAUIs). However, generic instruments had limited use as they could not capture some of the important aspects of living with CP. The Cerebral palsy 6 Dimension (CP-6D) is a disease specific MAUI. In this study, we compared the results of CP-6D with the Assessment of Quality of Life (AQoL-4D), a generic MAUI, and tested the criterion validity of the CP-6D in the general population.Methods:An online survey of the Australian general population (n = 2002), who completed both the AQoL-4D and CP-6D MAUIs, was conducted. Validity was assessed from the correlations between the domains, items and instruments. ANOVA and t-tests were used to assess the instrument's discrimination in different social demographic categories.Results:There was a moderate correlation between the instruments (0.64). Differences in socio-demographic characteristics showed a medium effect size (p < 0.001) in both instruments and had a similar effect on utility weights in both instruments. Although the CP-6D was more sensitive to changes in income and education.Conclusions: Our results suggest that CP-6D and AQoL-4D were measuring a similar underlying construct. Both instruments responded similarly to socio-demographic differences.

INTRODUCTION: Autosomal recessive (AR) and x-linked (XL) conditions are rare but collectively common which impact millions of people globally on morbidity, mortality and costs. Advanced medical technologies allow prospective parents to make informed reproductive decisions to avoid having affected children. Economic evaluations targeting on reproductive carrier screening (RCS) for AR and/or XL conditions have been conducted, but there has not been a systematic review in this area. AREAS COVERED: A systematic search of economic evaluations for RCS was undertaken using the following databases - EMBASE, MEDLINE and SCOPUS. The search strategy was designed to capture full economic evaluations related to RCS since 1990. This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) strategy. The included 23 studies adopted various types of methodologies to conduct economic evaluations. The majority of studies examined a single condition. The various clinical strategies and screened conditions caused the different cost-effectiveness conclusions in the published studies. EXPERT OPINION: Establishing a validated and practical clinical strategy of RCS and investigating the cost-effectiveness of multiple conditions in one economic evaluation are critical for implementing RCS in the future. Further economic evaluations are essential to provide evidence-based practice for decision-makers.

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OBJECTIVES: Preference-based quality-of-life measures (PBMs) have been developed in many clinical areas to aid estimation of more accurate utility values for economic evaluations. Existing oral health-related quality-of-life (OHRQoL) instruments are non-PBM and hence, cannot be used to generate utility values. The objective of this study was to develop a classification system for a new PBM (dental caries utility index-DCUI) for the most prevalent childhood oral health condition: dental caries. METHODS: Possible domains and items to be included in the classification system were identified based on the reviewing available pediatric non-PBM OHRQoL instruments, studies eliciting utility values for oral health outcomes and clinical dentistry textbooks and based on the findings, a draft classification system was developed. To refine the draft classification system, semi-structured interviews were conducted among a convenience sample of 15 12-17-year-old adolescents who had experience with dental caries. The classification system was further refined and validated by a group of dental experts, using a modified Delphi technique. RESULTS: The classification system comprised five items (pain/discomfort, difficulty in eating food/drinking, worried, ability to participate in activities, and appearance) and each item had a four-level response scale. CONCLUSION: The classification system developed herein is considered an amenable tool for the subsequent development of a new PBM for dental caries. Once the scoring algorithm is completed, the classification system can be used to incorporate economic evaluations of dental caries health interventions.

OBJECTIVES: Preference-based quality-of-life measures (PBMs) have been developed in many clinical areas to aid estimation of more accurate utility values for economic evaluations. Existing oral health-related quality-of-life (OHRQoL) instruments are non-PBM and hence, cannot be used to generate utility values. The objective of this study was to develop a classification system for a new PBM (dental caries utility index-DCUI) for the most prevalent childhood oral health condition: dental caries. METHODS: Possible domains and items to be included in the classification system were identified based on the reviewing available pediatric non-PBM OHRQoL instruments, studies eliciting utility values for oral health outcomes and clinical dentistry textbooks and based on the findings, a draft classification system was developed. To refine the draft classification system, semi-structured interviews were conducted among a convenience sample of 15 12-17-year-old adolescents who had experience with dental caries. The classification system was further refined and validated by a group of dental experts, using a modified Delphi technique. RESULTS: The classification system comprised five items (pain/discomfort, difficulty in eating food/drinking, worried, ability to participate in activities, and appearance) and each item had a four-level response scale. CONCLUSION: The classification system developed herein is considered an amenable tool for the subsequent development of a new PBM for dental caries. Once the scoring algorithm is completed, the classification system can be used to incorporate economic evaluations of dental caries health interventions.

OBJECTIVES: Preference-based quality-of-life measures (PBMs) have been developed in many clinical areas to aid estimation of more accurate utility values for economic evaluations. Existing oral health-related quality-of-life (OHRQoL) instruments are non-PBM and hence, cannot be used to generate utility values. The objective of this study was to develop a classification system for a new PBM (dental caries utility index-DCUI) for the most prevalent childhood oral health condition: dental caries. METHODS: Possible domains and items to be included in the classification system were identified based on the reviewing available pediatric non-PBM OHRQoL instruments, studies eliciting utility values for oral health outcomes and clinical dentistry textbooks and based on the findings, a draft classification system was developed. To refine the draft classification system, semi-structured interviews were conducted among a convenience sample of 15 12-17-year-old adolescents who had experience with dental caries. The classification system was further refined and validated by a group of dental experts, using a modified Delphi technique. RESULTS: The classification system comprised five items (pain/discomfort, difficulty in eating food/drinking, worried, ability to participate in activities, and appearance) and each item had a four-level response scale. CONCLUSION: The classification system developed herein is considered an amenable tool for the subsequent development of a new PBM for dental caries. Once the scoring algorithm is completed, the classification system can be used to incorporate economic evaluations of dental caries health interventions.

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INTRODUCTION: Autosomal recessive (AR) and x-linked (XL) conditions are rare but collectively common which impact millions of people globally on morbidity, mortality and costs. Advanced medical technologies allow prospective parents to make informed reproductive decisions to avoid having affected children. Economic evaluations targeting on reproductive carrier screening (RCS) for AR and/or XL conditions have been conducted, but there has not been a systematic review in this area. AREAS COVERED: A systematic search of economic evaluations for RCS was undertaken using the following databases - EMBASE, MEDLINE and SCOPUS. The search strategy was designed to capture full economic evaluations related to RCS since 1990. This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) strategy. The included 23 studies adopted various types of methodologies to conduct economic evaluations. The majority of studies examined a single condition. The various clinical strategies and screened conditions caused the different cost-effectiveness conclusions in the published studies. EXPERT OPINION: Establishing a validated and practical clinical strategy of RCS and investigating the cost-effectiveness of multiple conditions in one economic evaluation are critical for implementing RCS in the future. Further economic evaluations are essential to provide evidence-based practice for decision-makers.

BACKGROUND AND OBJECTIVE: The CP-6D is a new preference-based measure derived from the CPQOL, a cerebral palsy-specific quality-of-life questionnaire. The CP-6D contains six dimensions, each with five levels. A preference-based value set is required to score the CP-6D on a utility scale and render it suitable for cost-utility analysis. This study aims to estimate the utility value set for the CP-6D for interventions for people with cerebral palsy (CP). METHODS: A discrete choice experiment was designed and administrated to an adult Australian online panel. Each respondent answered 12 choice sets. Each choice was presented as a combination of the health state from the CP-6D and duration spent in that health state before death. Conditional logit and mixed logit regression were used to analyse the data. The utility values were estimated as a ratio of the coefficient of each dimension to the coefficient of the duration. RESULTS: A total of 2002 participants completed the survey and responded to each choice. Generally, the dimension levels were monotonic, meaning the coefficients reflected the ordered nature of the levels in each dimension. The dimensions relating to manual ability, social well-being and acceptance had the greatest effect on choice. The value of the worst 'pits' health state is - 0.582. CONCLUSION: This study provides the first CP-specific utility value set that can potentially be used in cost-utility analyses of interventions for people with CP where the CPQOL has been applied, both prospectively and retrospectively.

Health technology assessment (HTA) was introduced in Australia for the reimbursement of pharmaceuticals in 1992 and in the following years for procedures, diagnostic tests, and devices. The Australian health system is largely funded by the government. The Pharmaceutical Benefits Scheme is a national list of prescription pharmaceuticals for which the patient pays a small copayment. HTA submissions to the Pharmaceutical Benefits Scheme are assessed by the Pharmaceutical Benefits Advisory Committee. The Medical Benefits Scheme provides ambulatory medical services and HTA submissions are assessed by the Medical Services Advisory Committee. This article describes the processes of reimbursement in Australia as well as the special case of codependent technologies (eg, diagnostic test and a therapeutic drug) where a combined Medical Services Advisory Committee and Pharmaceutical Benefits Advisory Committee application is required. There are many future challenges for HTA in Australia, with growing pressure to provide early access to promising treatments and high cost personalized medicines looming on the horizon. However, Australia is well placed to deal with these issues as the early adoption of HTA and coexistence between industry, academia and the payer has proven to be a fertile environment for developing capacity to undertake and evaluate HTA.

BACKGROUND AND OBJECTIVE: The CP-6D is a new preference-based measure derived from the CPQOL, a cerebral palsy-specific quality-of-life questionnaire. The CP-6D contains six dimensions, each with five levels. A preference-based value set is required to score the CP-6D on a utility scale and render it suitable for cost-utility analysis. This study aims to estimate the utility value set for the CP-6D for interventions for people with cerebral palsy (CP). METHODS: A discrete choice experiment was designed and administrated to an adult Australian online panel. Each respondent answered 12 choice sets. Each choice was presented as a combination of the health state from the CP-6D and duration spent in that health state before death. Conditional logit and mixed logit regression were used to analyse the data. The utility values were estimated as a ratio of the coefficient of each dimension to the coefficient of the duration. RESULTS: A total of 2002 participants completed the survey and responded to each choice. Generally, the dimension levels were monotonic, meaning the coefficients reflected the ordered nature of the levels in each dimension. The dimensions relating to manual ability, social well-being and acceptance had the greatest effect on choice. The value of the worst 'pits' health state is - 0.582. CONCLUSION: This study provides the first CP-specific utility value set that can potentially be used in cost-utility analyses of interventions for people with CP where the CPQOL has been applied, both prospectively and retrospectively.

Health technology assessment (HTA) was introduced in Australia for the reimbursement of pharmaceuticals in 1992 and in the following years for procedures, diagnostic tests, and devices. The Australian health system is largely funded by the government. The Pharmaceutical Benefits Scheme is a national list of prescription pharmaceuticals for which the patient pays a small copayment. HTA submissions to the Pharmaceutical Benefits Scheme are assessed by the Pharmaceutical Benefits Advisory Committee. The Medical Benefits Scheme provides ambulatory medical services and HTA submissions are assessed by the Medical Services Advisory Committee. This article describes the processes of reimbursement in Australia as well as the special case of codependent technologies (eg, diagnostic test and a therapeutic drug) where a combined Medical Services Advisory Committee and Pharmaceutical Benefits Advisory Committee application is required. There are many future challenges for HTA in Australia, with growing pressure to provide early access to promising treatments and high cost personalized medicines looming on the horizon. However, Australia is well placed to deal with these issues as the early adoption of HTA and coexistence between industry, academia and the payer has proven to be a fertile environment for developing capacity to undertake and evaluate HTA.

BACKGROUND AND OBJECTIVE: The CP-6D is a new preference-based measure derived from the CPQOL, a cerebral palsy-specific quality-of-life questionnaire. The CP-6D contains six dimensions, each with five levels. A preference-based value set is required to score the CP-6D on a utility scale and render it suitable for cost-utility analysis. This study aims to estimate the utility value set for the CP-6D for interventions for people with cerebral palsy (CP). METHODS: A discrete choice experiment was designed and administrated to an adult Australian online panel. Each respondent answered 12 choice sets. Each choice was presented as a combination of the health state from the CP-6D and duration spent in that health state before death. Conditional logit and mixed logit regression were used to analyse the data. The utility values were estimated as a ratio of the coefficient of each dimension to the coefficient of the duration. RESULTS: A total of 2002 participants completed the survey and responded to each choice. Generally, the dimension levels were monotonic, meaning the coefficients reflected the ordered nature of the levels in each dimension. The dimensions relating to manual ability, social well-being and acceptance had the greatest effect on choice. The value of the worst 'pits' health state is - 0.582. CONCLUSION: This study provides the first CP-specific utility value set that can potentially be used in cost-utility analyses of interventions for people with CP where the CPQOL has been applied, both prospectively and retrospectively.

INTRODUCTION: Autosomal recessive (AR) and x-linked (XL) conditions are rare but collectively common which impact millions of people globally on morbidity, mortality and costs. Advanced medical technologies allow prospective parents to make informed reproductive decisions to avoid having affected children. Economic evaluations targeting on reproductive carrier screening (RCS) for AR and/or XL conditions have been conducted, but there has not been a systematic review in this area. AREAS COVERED: A systematic search of economic evaluations for RCS was undertaken using the following databases - EMBASE, MEDLINE and SCOPUS. The search strategy was designed to capture full economic evaluations related to RCS since 1990. This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) strategy. The included 23 studies adopted various types of methodologies to conduct economic evaluations. The majority of studies examined a single condition. The various clinical strategies and screened conditions caused the different cost-effectiveness conclusions in the published studies. EXPERT OPINION: Establishing a validated and practical clinical strategy of RCS and investigating the cost-effectiveness of multiple conditions in one economic evaluation are critical for implementing RCS in the future. Further economic evaluations are essential to provide evidence-based practice for decision-makers.

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Health technology assessment (HTA) was introduced in Australia for the reimbursement of pharmaceuticals in 1992 and in the following years for procedures, diagnostic tests, and devices. The Australian health system is largely funded by the government. The Pharmaceutical Benefits Scheme is a national list of prescription pharmaceuticals for which the patient pays a small copayment. HTA submissions to the Pharmaceutical Benefits Scheme are assessed by the Pharmaceutical Benefits Advisory Committee. The Medical Benefits Scheme provides ambulatory medical services and HTA submissions are assessed by the Medical Services Advisory Committee. This article describes the processes of reimbursement in Australia as well as the special case of codependent technologies (eg, diagnostic test and a therapeutic drug) where a combined Medical Services Advisory Committee and Pharmaceutical Benefits Advisory Committee application is required. There are many future challenges for HTA in Australia, with growing pressure to provide early access to promising treatments and high cost personalized medicines looming on the horizon. However, Australia is well placed to deal with these issues as the early adoption of HTA and coexistence between industry, academia and the payer has proven to be a fertile environment for developing capacity to undertake and evaluate HTA.

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Eutrophication is a widespread environmental change that usually reduces the stabilizing effect of plant diversity on productivity in local communities. Whether this effect is scale dependent remains to be elucidated. Here, we determine the relationship between plant diversity and temporal stability of productivity for 243 plant communities from 42 grasslands across the globe and quantify the effect of chronic fertilization on these relationships. Unfertilized local communities with more plant species exhibit greater asynchronous dynamics among species in response to natural environmental fluctuations, resulting in greater local stability (alpha stability). Moreover, neighborhood communities that have greater spatial variation in plant species composition within sites (higher beta diversity) have greater spatial asynchrony of productivity among communities, resulting in greater stability at the larger scale (gamma stability). Importantly, fertilization consistently weakens the contribution of plant diversity to both of these stabilizing mechanisms, thus diminishing the positive effect of biodiversity on stability at differing spatial scales. Our findings suggest that preserving grassland functional stability requires conservation of plant diversity within and among ecological communities.

OBJECTIVES: In recent years, discrete choice experiments (DCEs) have become frequently used to generate utility values, but there are a diverse range of approaches to do this. The primary focus of this systematic review is to summarise the methods used for the design and analysis of DCEs when estimating utility values in both generic and condition-specific preference-based measures. METHODS: Published literature using DCEs to estimate utility values from preference-based instruments were identified from MEDLINE, Embase, Cochrane Library and CINAHL using PRISMA guidelines. To assess the different DCE methods, standardised information was extracted from the articles including the DCE design method, the number of choice sets, the number of DCE pairs per person, randomisation of questions, analysis method, logical consistency tests and techniques for anchoring utilities. The CREATE checklist was used to assess the quality of the studies. RESULTS: A total of 38 studies with samples from the general population, students and patients were included. Values for health states described using generic multi attribute instruments (MAUIs) (especially the EQ-5D) were the most commonly explored using DCEs. The studies showed considerable methodology and design diversity (number of alternatives, attributes, sample size, choice task presentation and analysis). Despite these differences, the quality of articles reporting the methods used for the DCE was generally high. CONCLUSION: DCEs are an important approach to measure utility values for both generic and condition-specific instruments. However, a gold standard method cannot yet be recommended.

OBJECTIVES: In recent years, discrete choice experiments (DCEs) have become frequently used to generate utility values, but there are a diverse range of approaches to do this. The primary focus of this systematic review is to summarise the methods used for the design and analysis of DCEs when estimating utility values in both generic and condition-specific preference-based measures. METHODS: Published literature using DCEs to estimate utility values from preference-based instruments were identified from MEDLINE, Embase, Cochrane Library and CINAHL using PRISMA guidelines. To assess the different DCE methods, standardised information was extracted from the articles including the DCE design method, the number of choice sets, the number of DCE pairs per person, randomisation of questions, analysis method, logical consistency tests and techniques for anchoring utilities. The CREATE checklist was used to assess the quality of the studies. RESULTS: A total of 38 studies with samples from the general population, students and patients were included. Values for health states described using generic multi attribute instruments (MAUIs) (especially the EQ-5D) were the most commonly explored using DCEs. The studies showed considerable methodology and design diversity (number of alternatives, attributes, sample size, choice task presentation and analysis). Despite these differences, the quality of articles reporting the methods used for the DCE was generally high. CONCLUSION: DCEs are an important approach to measure utility values for both generic and condition-specific instruments. However, a gold standard method cannot yet be recommended.

OBJECTIVES: In recent years, discrete choice experiments (DCEs) have become frequently used to generate utility values, but there are a diverse range of approaches to do this. The primary focus of this systematic review is to summarise the methods used for the design and analysis of DCEs when estimating utility values in both generic and condition-specific preference-based measures. METHODS: Published literature using DCEs to estimate utility values from preference-based instruments were identified from MEDLINE, Embase, Cochrane Library and CINAHL using PRISMA guidelines. To assess the different DCE methods, standardised information was extracted from the articles including the DCE design method, the number of choice sets, the number of DCE pairs per person, randomisation of questions, analysis method, logical consistency tests and techniques for anchoring utilities. The CREATE checklist was used to assess the quality of the studies. RESULTS: A total of 38 studies with samples from the general population, students and patients were included. Values for health states described using generic multi attribute instruments (MAUIs) (especially the EQ-5D) were the most commonly explored using DCEs. The studies showed considerable methodology and design diversity (number of alternatives, attributes, sample size, choice task presentation and analysis). Despite these differences, the quality of articles reporting the methods used for the DCE was generally high. CONCLUSION: DCEs are an important approach to measure utility values for both generic and condition-specific instruments. However, a gold standard method cannot yet be recommended.

OBJECTIVE:To identify the extent to which patient experiences in the ED differ depending on facility type (based on bed numbers, services available and annual separations), and location (level of remoteness). METHODS:Data from a 2015 state-wide (Queensland, Australia) public ED patient experience survey were linked to sociodemographic and presentation-related characteristics data. Survey items were individually scored (from 0 to 100), and averaged across 13 pre-determined patient experience topic areas. Descriptive statistics were used to report on patient sociodemographic and presentation-related characteristics. One-way analysis of variance tests were used to identify associations between patient-reported experience scores, facility types and location. RESULTS:A total of 10 553 patients over the age of 16 years completed the survey. All patients reported scores above 75 for 7 of the 13 patient experience topic areas (0 = lowest score, 100 = highest score). Patients from very remote and outer regional EDs reported the highest scores for the topic Environment and facilities, and remote facility patients reported the highest scores for the topic Leaving the ED - Delays. The same two topic areas were scored most highly by patients from smaller facilities in comparison to principal referral hospital EDs. CONCLUSIONS:Patients attending smaller and more rurally located EDs reported more positive experiences than those attending larger, metropolitan EDs on two of the 13 topic areas. However, these differences were marginal. Future research should aim to determine what constitutes clinically meaningful differences between groups when comparing patient-reported experience scores, and understand the characteristics of small and rural EDs that may be associated with better patient experiences.

OBJECTIVE:To identify the extent to which patient experiences in the ED differ depending on facility type (based on bed numbers, services available and annual separations), and location (level of remoteness). METHODS:Data from a 2015 state-wide (Queensland, Australia) public ED patient experience survey were linked to sociodemographic and presentation-related characteristics data. Survey items were individually scored (from 0 to 100), and averaged across 13 pre-determined patient experience topic areas. Descriptive statistics were used to report on patient sociodemographic and presentation-related characteristics. One-way analysis of variance tests were used to identify associations between patient-reported experience scores, facility types and location. RESULTS:A total of 10 553 patients over the age of 16 years completed the survey. All patients reported scores above 75 for 7 of the 13 patient experience topic areas (0 = lowest score, 100 = highest score). Patients from very remote and outer regional EDs reported the highest scores for the topic Environment and facilities, and remote facility patients reported the highest scores for the topic Leaving the ED - Delays. The same two topic areas were scored most highly by patients from smaller facilities in comparison to principal referral hospital EDs. CONCLUSIONS:Patients attending smaller and more rurally located EDs reported more positive experiences than those attending larger, metropolitan EDs on two of the 13 topic areas. However, these differences were marginal. Future research should aim to determine what constitutes clinically meaningful differences between groups when comparing patient-reported experience scores, and understand the characteristics of small and rural EDs that may be associated with better patient experiences.

Objective To report the comparative rates, average length of stay and cost per episode of hospital management for self-harm in three age cohorts: 15–19 years, 20–24 years and 25–29 years; by sex and indigeneity. Design, setting, participants A secondary data analysis of the Australian Institute of Health and Welfare (AIHW) dataset between 1st January 2014 and 31st December 2014 inclusive. Main outcome measures Cost per episode of hospitalised self-harm and rates by age group, sex and Indigenous status. Results The rate of hospitalised self-harm among Australian youth was 254.0 per 100,000 population. This rate resulted in an annual cost to the healthcare system of AU$55 million or an average cost per episode of $4649 (95% CI $4488:$4810). Hospitalised self-harm was 21 times higher than the rate of suicide (11,820 episodes of hospitalised self-harm/564 suicides). Indigenous youth had on average a 1.4 times higher rate of hospitalised self-harm and 2.2 times higher rate of suicide than non-Indigenous counterparts. When controlling for age and sex, the average cost per episode was significantly lower for Indigenous youth compared to non-Indigenous youth, estimated marginal means $4538 and $4954, respectively (p < 0.001). Conclusions Hospitalised self-harm among Australian youth resulted in a substantial cost to the healthcare system. This cost is only part of the overall burden associated with self-harm. The rate of hospitalised self-harm was significantly higher in Indigenous youth, but the associated cost per episode was significantly lower.

Objective To report the comparative rates, average length of stay and cost per episode of hospital management for self-harm in three age cohorts: 15–19 years, 20–24 years and 25–29 years; by sex and indigeneity. Design, setting, participants A secondary data analysis of the Australian Institute of Health and Welfare (AIHW) dataset between 1st January 2014 and 31st December 2014 inclusive. Main outcome measures Cost per episode of hospitalised self-harm and rates by age group, sex and Indigenous status. Results The rate of hospitalised self-harm among Australian youth was 254.0 per 100,000 population. This rate resulted in an annual cost to the healthcare system of AU$55 million or an average cost per episode of $4649 (95% CI $4488:$4810). Hospitalised self-harm was 21 times higher than the rate of suicide (11,820 episodes of hospitalised self-harm/564 suicides). Indigenous youth had on average a 1.4 times higher rate of hospitalised self-harm and 2.2 times higher rate of suicide than non-Indigenous counterparts. When controlling for age and sex, the average cost per episode was significantly lower for Indigenous youth compared to non-Indigenous youth, estimated marginal means $4538 and $4954, respectively (p < 0.001). Conclusions Hospitalised self-harm among Australian youth resulted in a substantial cost to the healthcare system. This cost is only part of the overall burden associated with self-harm. The rate of hospitalised self-harm was significantly higher in Indigenous youth, but the associated cost per episode was significantly lower.

Introduction

Methods and analysis

Ethics and dissemination

Introduction

Methods and analysis

Ethics and dissemination

In coastal waters around the world, the dominant primary producers are benthic macrophytes, including seagrasses and macroalgae, that provide habitat structure and food for diverse and abundant biological communities and drive ecosystem processes. Seagrass meadows and macroalgal forests play key roles for coastal societies, contributing to fishery yields, storm protection, biogeochemical cycling and storage, and important cultural values. These socio-economically valuable services are threatened worldwide by human activities, with substantial areas of seagrass and macroalgal forests lost over the last half-century. Tracking the status and trends in marine macrophyte cover and quality is an emerging priority for ocean and coastal management, but doing so has been challenged by limited coordination across the numerous efforts to monitor macrophytes, which vary widely in goals, methodologies, scales, capacity, governance approaches, and data availability. Here, we present a consensus assessment and recommendations on the current state of and opportunities for advancing global marine macrophyte observations, integrating contributions from a community of researchers with broad geographic and disciplinary expertise. With the increasing scale of human impacts, the time is ripe to harmonize marine macrophyte observations by building on existing networks and identifying a core set of common metrics and approaches in sampling design, field measurements, governance, capacity building, and data management. We recommend a tiered observation system, with improvement of remote sensing and remote underwater imaging to expand capacity to capture broad-scale extent at intervals of several years, coordinated with stratified in situ sampling annually to characterize the key variables of cover and taxonomic or functional group composition, and to provide ground-truth. A robust networked system of macrophyte observations will be facilitated by establishing best practices, including stand

In coastal waters around the world, the dominant primary producers are benthic macrophytes, including seagrasses and macroalgae, that provide habitat structure and food for diverse and abundant biological communities and drive ecosystem processes. Seagrass meadows and macroalgal forests play key roles for coastal societies, contributing to fishery yields, storm protection, biogeochemical cycling and storage, and important cultural values. These socio-economically valuable services are threatened worldwide by human activities, with substantial areas of seagrass and macroalgal forests lost over the last half-century. Tracking the status and trends in marine macrophyte cover and quality is an emerging priority for ocean and coastal management, but doing so has been challenged by limited coordination across the numerous efforts to monitor macrophytes, which vary widely in goals, methodologies, scales, capacity, governance approaches, and data availability. Here, we present a consensus assessment and recommendations on the current state of and opportunities for advancing global marine macrophyte observations, integrating contributions from a community of researchers with broad geographic and disciplinary expertise. With the increasing scale of human impacts, the time is ripe to harmonize marine macrophyte observations by building on existing networks and identifying a core set of common metrics and approaches in sampling design, field measurements, governance, capacity building, and data management. We recommend a tiered observation system, with improvement of remote sensing and remote underwater imaging to expand capacity to capture broad-scale extent at intervals of several years, coordinated with stratified in situ sampling annually to characterize the key variables of cover and taxonomic or functional group composition, and to provide ground-truth. A robust networked system of macrophyte observations will be facilitated by establishing best practices, including stand

INTRODUCTION: Cerebral palsy (CP) is a lifelong condition. The CP quality of life (CPQOL) instrument is a frequently used disease-specific instrument to assess health-related quality of life (HRQoL) in people with CP, but it cannot be used to generate quality-adjusted life years (QALY) which are the basis of cost utility analysis (CUA). Generic utility instruments (such as the EQ-5D or SF-6D) that are used to value HRQOL may be insensitive to small but important health changes in children with CP. This study aims to generate a preference-based scoring algorithm for the CP six dimensions (CP-6D), a classification system developed from the CPQOL. METHODS AND ANALYSIS: A discrete choice experiment with duration (DCEtto) will be administrated to value health states described by the CP-6D classification system. These health states will be presented to members of Australian general population and parents of children with CP via an online survey. Conditional logit regression will be used to produce the utility algorithm for CP-6D. ETHICS AND DISSEMINATION: The Griffith University Human Research Ethics Committee approved for the study (reference HREC/number 2018/913). The developed algorithm can be applied to previous and future economic evaluation of interventions and treatments targeting people with CP which have used either the CPQOL or CP-6D.

INTRODUCTION: Cerebral palsy (CP) is a lifelong condition. The CP quality of life (CPQOL) instrument is a frequently used disease-specific instrument to assess health-related quality of life (HRQoL) in people with CP, but it cannot be used to generate quality-adjusted life years (QALY) which are the basis of cost utility analysis (CUA). Generic utility instruments (such as the EQ-5D or SF-6D) that are used to value HRQOL may be insensitive to small but important health changes in children with CP. This study aims to generate a preference-based scoring algorithm for the CP six dimensions (CP-6D), a classification system developed from the CPQOL. METHODS AND ANALYSIS: A discrete choice experiment with duration (DCEtto) will be administrated to value health states described by the CP-6D classification system. These health states will be presented to members of Australian general population and parents of children with CP via an online survey. Conditional logit regression will be used to produce the utility algorithm for CP-6D. ETHICS AND DISSEMINATION: The Griffith University Human Research Ethics Committee approved for the study (reference HREC/number 2018/913). The developed algorithm can be applied to previous and future economic evaluation of interventions and treatments targeting people with CP which have used either the CPQOL or CP-6D.

INTRODUCTION: Cerebral palsy (CP) is a lifelong condition. The CP quality of life (CPQOL) instrument is a frequently used disease-specific instrument to assess health-related quality of life (HRQoL) in people with CP, but it cannot be used to generate quality-adjusted life years (QALY) which are the basis of cost utility analysis (CUA). Generic utility instruments (such as the EQ-5D or SF-6D) that are used to value HRQOL may be insensitive to small but important health changes in children with CP. This study aims to generate a preference-based scoring algorithm for the CP six dimensions (CP-6D), a classification system developed from the CPQOL. METHODS AND ANALYSIS: A discrete choice experiment with duration (DCEtto) will be administrated to value health states described by the CP-6D classification system. These health states will be presented to members of Australian general population and parents of children with CP via an online survey. Conditional logit regression will be used to produce the utility algorithm for CP-6D. ETHICS AND DISSEMINATION: The Griffith University Human Research Ethics Committee approved for the study (reference HREC/number 2018/913). The developed algorithm can be applied to previous and future economic evaluation of interventions and treatments targeting people with CP which have used either the CPQOL or CP-6D.

Introduction: Peripheral intravenous catheters (PIVCs) are frequently used in hospitals. However, PIVC complications are common, with failures leading to treatment delays, additional procedures, patient pain and discomfort, increased clinician workload and substantially increased healthcare costs. Recent evidence suggests integrated PIVC systems may be more effective than traditional non-integrated PIVC systems in reducing phlebitis, infiltration and costs and increasing functional dwell time. The study aim is to determine the efficacy, cost–utility and acceptability to patients and professionals of an integrated PIVC system compared with a non-integrated PIVC system. Methods and analysis: Two-arm, multicentre, randomised controlled superiority trial of integrated versus non-integrated PIVC systems to compare effectiveness on clinical and economic outcomes. Recruitment of 1560 patients over 2 years, with randomisation by a centralised service ensuring allocation concealment. Primary outcomes: catheter failure (composite endpoint) for reasons of: occlusion, infiltration/extravasation, phlebitis/thrombophlebitis, dislodgement, localised or catheter-associated bloodstream infections. Secondary outcomes: first time insertion success, types of PIVC failure, device colonisation, insertion pain, functional dwell time, adverse events, mortality, cost–utility and consumer acceptability. One PIVC per patient will be included, with intention-to-treat analysis. Baseline group comparisons will be made for potentially clinically important confounders. The proportional hazards assumption will be checked, and Cox regression will test the effect of group, patient, device and clinical variables on failure. An as-treated analysis will assess the effect of protocol violations. Kaplan-Meier survival curves with log-rank tests will compare failure by group over time. Secondary endpoints will be compared between groups using parametric/non-parametric techniques. Ethics and dissemi

© 2017 The Author(s). Background: With an ageing population, the number of people with dementia is rising. The economic impact on the health care system is considerable and new treatment methods and approaches to dementia care must be cost effective. Economic evaluation requires valid patient reported outcome measures, and this study aims to develop a dementia-specific health state classification system based on the Quality of Life for Alzheimer's disease (QOL-AD) instrument (nursing home version). This classification system will subsequently be valued to generate a preference-based measure for use in the economic evaluation of interventions for people with dementia. Methods: We assessed the dimensionality of the QOL-AD to develop a new classification system. This was done using exploratory and confirmatory factor analysis and further assessment of the structure of the measure to ensure coverage of the key areas of quality of life. Secondly, we used Rasch analysis to test the psychometric performance of the items, and select item(s) to describe each dimension. This was done on 13 items of the QOL-AD (excluding two general health items) using a sample of 284 residents living in long-term care facilities in Australia who had a diagnosis of dementia. Results: A five dimension classification system is proposed resulting from the three factor structure (defined as 'interpersonal environment', 'physical health' and 'self-functioning') derived from the factor analysis and two factors ('memory' and 'mood') from the accompanying review. For the first three dimensions, Rasch analysis selected three questions of the QOL-AD ('living situation', 'physical health', and 'do fun things') with memory and mood questions representing their own dimensions. The resulting classification system (AD-5D) includes many of the health-related quality of life dimensions considered important to people with dementia, including mood, global function and skill in daily living. Conclusions: The deve

© 2017 The Author(s). Background: With an ageing population, the number of people with dementia is rising. The economic impact on the health care system is considerable and new treatment methods and approaches to dementia care must be cost effective. Economic evaluation requires valid patient reported outcome measures, and this study aims to develop a dementia-specific health state classification system based on the Quality of Life for Alzheimer's disease (QOL-AD) instrument (nursing home version). This classification system will subsequently be valued to generate a preference-based measure for use in the economic evaluation of interventions for people with dementia. Methods: We assessed the dimensionality of the QOL-AD to develop a new classification system. This was done using exploratory and confirmatory factor analysis and further assessment of the structure of the measure to ensure coverage of the key areas of quality of life. Secondly, we used Rasch analysis to test the psychometric performance of the items, and select item(s) to describe each dimension. This was done on 13 items of the QOL-AD (excluding two general health items) using a sample of 284 residents living in long-term care facilities in Australia who had a diagnosis of dementia. Results: A five dimension classification system is proposed resulting from the three factor structure (defined as 'interpersonal environment', 'physical health' and 'self-functioning') derived from the factor analysis and two factors ('memory' and 'mood') from the accompanying review. For the first three dimensions, Rasch analysis selected three questions of the QOL-AD ('living situation', 'physical health', and 'do fun things') with memory and mood questions representing their own dimensions. The resulting classification system (AD-5D) includes many of the health-related quality of life dimensions considered important to people with dementia, including mood, global function and skill in daily living. Conclusions: The deve

INTRODUCTION: Quality-adjusted life years are derived using health state utility weights which adjust for the relative value of living in each health state compared with living in perfect health. Various techniques are used to estimate health state utility weights including time-trade-off and standard gamble. These methods have exhibited limitations in terms of complexity, validity and reliability. A new composite approach using experimental auctions to value health states is introduced in this protocol. METHODS AND ANALYSIS: A pilot study will test the feasibility and validity of using experimental auctions to value health states in monetary terms. A convenient sample (n=150) from a population of university staff and students will be invited to participate in 30 auction sets with a group of 5 people in each set. The 9 health states auctioned in each auction set will come from the commonly used EQ-5D-3L instrument. At most participants purchase 2 health states, and the participant who acquires the 2 'best' health states on average will keep the amount of money they do not spend in acquiring those health states. The value (highest bid and average bid) of each of the 24 health states will be compared across auctions to test for reliability across auction groups and across auctioneers. A test retest will be conducted for 10% of the sample to assess reliability of responses for health states auctions. Feasibility of conducting experimental auctions to value health states will also be examined. The validity of estimated health states values will be compared with published utility estimates from other methods. This pilot study will explore the feasibility, reliability and validity in using experimental auction for valuing health states. ETHICS AND DISSEMINATION: Ethical clearance was obtained from Griffith University ethics committee. The results will be disseminated in peer-reviewed journals and major international conferences.

AIMS: To determine if taxation policies that increase the price of alcohol differentially reduce alcohol consumption for heavy drinkers in Australia. DESIGN: A two-part demand model for alcohol consumption is used to determine the price elasticity of alcohol. Quantile regression is used to determine the price elasticity estimates for various levels of consumption. SETTING: The study uses Australian data collected by the National Drug Strategy Household Survey for the years 2001, 2004 and 2007. MEASUREMENTS: Measures of individual annual alcohol consumption were derived from three waves of the National Drug Strategy Household Survey; alcohol prices were taken from market research reports. FINDINGS: For the overall population of drinkers, a 1% increase in the price of alcohol was associated with a 0.96% (95% CI -0.35%, -1.57%) reduction in alcohol consumption. For those in the highest 10% of drinkers by average amount consumed, a 1% increase in the price of alcohol was associated with a 1.26% (95% CI 0.82%, 1.70%) reduction in consumption. CONCLUSIONS: Within Australia, policies that increase the price of alcohol are about equally effective in relative terms for reducing alcohol consumption both for the general population and among those who drink heavily.