Supporting choice: an innovative model of integrated palliative care funded by a private health insurer.

BACKGROUND: The number of Australians dying each year is predicted to double in the next 25 years and there is an urgent need to establish sustainable models for providing high quality end-of-life care. An innovative community care model (Bupa Palliative Care Choices Program or BPCCP) was developed and piloted with the purpose of supporting patients in achieving their choices surrounding end-of-life care. AIMS: This study evaluates whether BPCCP patients were more likely to die in their place of choice compared with patients receiving standard care. Additional aims were evaluating patient and carer satisfaction and insurer cost. METHODS: This prospective, comparative cohort study comprises a clinical chart audit and survey of patient and carer experience. RESULTS: More BPCCP participants preferred to die at home (53% vs 31%). A lower proportion of BPCCP patients died in acute hospitals (10% vs 19%) and more of this cohort died at home (46% vs 26%). In both cohorts, nearly 90% of patients were able to die in their preferred location. Patient and carer satisfaction with the programme was very high in the small cohort who responded to the survey. There was a decrease in average claims spend per patient enrolled in the programme during the first 12-month period of implementation compared with historical claims spend for inpatients only. CONCLUSIONS: This evaluation of an innovative community palliative care intervention indicates that the extra services available to patients support the choice of dying at home and the ability to do so while generating claims cost efficiencies.

The Impact of Population-Based Disease Management Services on Health Care Utilisation and Costs: Results of the CAPICHe Trial.

BACKGROUND: Disease management programmes may improve quality of care, improve health outcomes and potentially reduce total healthcare costs. To date, only one very large population-based study has been undertaken and indicated reductions in hospital admissions > 10%. OBJECTIVE: We sought to confirm the effectiveness of population-based disease management programmes. The objective of this study was to evaluate the relative impact on healthcare utilisation and cost of participants the Costs to Australian Private Insurance - Coaching Health (CAPICHe) trial. DESIGN: Parallel-group randomised controlled trial, intention-to-treat analysis SETTING: Australian population PARTICIPANTS: Forty-four thousand four hundred eighteen individuals (18-90 years of age) with private health insurance and diagnosis of heart failure, chronic obstructive pulmonary disease (COPD), coronary artery disease (CAD), diabetes, or low back pain, with predicted high cost claims for the following 12 months. INTERVENTION: Health coaching for disease management from Bupa Health Dialog, vs Usual Care. MAIN OUTCOME MEASURES: Total cost of claims per member to the private health insurer 1 year post-randomisation for hospital admissions, including same-day, medical and prostheses hospital claims, excluding any maternity costs. Analysis was based on the intent-to-treat population. RESULTS: Estimated total cost 1 year post-randomisation was not significantly different (means: intervention group A$4934; 95% CI A$4823-A$5045 vs control group A$4868; 95% CI A$4680-A$5058; p = 0.524). However, the intervention group had significantly lower same-day admission costs (A$468; 95% CI A$454-A$482 vs A$508; 95% CI A$484-A$533; p = 0.002) and fewer same-day admissions per 1000 person-years (intervention group, 530; 95% CI 508-552 vs control group, 614; 95% CI 571-657; p = 0.002). Subgroup analyses indicated that the intervention group had significantly fewer admissions for patients with COPD and fewer same-day admissions for patients with diabetes. CONCLUSIONS: Chronic disease health coaching was not effective to reduce the total cost after 12 months of follow-up for higher risk individuals with a chronic condition. Statistically significant changes were found with fewer same-day admissions; however, these did not translate into cost savings from a private health insurance perspective.

Cost-Effectiveness of a Home Based Intervention for Secondary Prevention of Readmission with Chronic Heart Disease.

The aim of this study is to consider the cost-effectiveness of a nurse-led, home-based intervention (HBI) in cardiac patients with private health insurance compared to usual post-discharge care. A within trial analysis of the Young @ Heart multicentre, randomized controlled trial along with a micro-simulation decision analytical model was conducted to estimate the incremental costs and quality adjusted life years associated with the home based intervention compared to usual care. For the micro-simulation model, future costs, from the perspective of the funder, and effects are estimated over a twenty-year time horizon. An Incremental Cost-Effectiveness Ratio, along with Incremental Net Monetary Benefit, is evaluated using a willingness to pay threshold of $50,000 per quality adjusted life year. Sub-group analyses are conducted for men and women across three age groups separately. Costs and benefits that arise in the future are discounted at five percent per annum. Overall, home based intervention for secondary prevention in patients with chronic heart disease identified in the Australian private health care sector is not cost-effective. The estimated within trial incremental net monetary benefit is -$3,116 [95% CI: -11,145, $4,914]; indicating that the costs outweigh the benefits. However, for males and in particular males aged 75 years and above, home based intervention indicated a potential to reduce health care costs when compared to usual care (within trial: -$10,416 [95% CI: -$26,745, $5,913]; modelled analysis: -$1,980 [95% CI: -$22,843, $14,863]). This work provides a crucial impetus for future research to understand for whom disease management programs are likely to benefit most.

The impact of population-based disease management services for selected chronic conditions: the Costs to Australian Private Insurance--Coaching Health (CAPICHe) study protocol.

BACKGROUND: Recent evidence from a large scale trial conducted in the United States indicates that enhancing shared decision-making and improving knowledge, self-management, and provider communication skills to at-risk patients can reduce health costs and utilisation of healthcare resources. Although this trial has provided a significant advancement in the evidence base for disease management programs it is still left for such results to be replicated and/or generalised for populations in other countries and other healthcare environments. This trial responds to the limited analyses on the effectiveness of providing chronic disease management services through telephone health coaching in Australia. The size of this trial and it's assessment of cost utility with respect to potentially preventable hospitalisations adds significantly to the body of knowledge to support policy and investment decisions in Australia as well as to the international debate regarding the effect of disease management programs on financial outcomes. METHODS: Intention to treat study applying a prospective randomised design comparing usual care with extensive outreach to encourage use of telephone health coaching for those people identified from a risk scoring algorithm as having a higher likelihood of future health costs. The trial population has been limited to people with one or more of the following selected chronic conditions: namely, low back pain, diabetes, coronary artery disease, heart failure, and chronic obstructive pulmonary disease. This trial will enrol at least 64,835 sourced from the approximately 3 million Bupa Australia private health insured members located across Australia. The primary outcome will be the total (non-maternity) cost per member as reported to the private health insurer (i.e. charged to the insurer) 12 months following entry into the trial for each person. Study recruitment will be completed in early 2012 and the results will be available in late 2013. DISCUSSION: If positive, CAPICHe will represent a potentially cost-effective strategy to improve health outcomes in higher risk individuals with a chronic condition, in a private health insurance setting. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry reference: ACTRN12611000580976.

Modeling the long-term cost-effectiveness of the caries management system in an Australian population.

OBJECTIVES: The Monitor Practice Program demonstrated that regular monitoring and noninvasive management of dental caries is effective in reducing the incremental DMFT (decayed, missing, and filled teeth) in patients, within the construct of a 3-year randomized clinical trial. This analysis evaluates the long-term cost-effectiveness of the preventive approach underpinning the Caries Management System, used in the general practice setting and modeled to the Australian population. METHODS: An individual patient-simulation Markov model was developed to compare the long-term costs and outcomes of the Caries Management System versus standard dental care in a hypothetical sample representative of the Australian population. Eight Markov submodels were developed, representing eight molar teeth (excluding wisdom teeth), each consisting of 11 health states simulating the incidence and progression of dental caries, and future interventions such as fillings and crowns. Transition probabilities and costs assigned to health states were based on claims data from the second largest private health insurer in Australia. The economic evaluation was performed from the Australian private dental practitioner perspective. The incremental cost per DMFT avoided was calculated at three time points: 2 years, 3 years, and lifetime. Univariate sensitivity analysis was conducted to test the robustness of the results. RESULTS: The incremental cost per DMFT avoided at 2 years, 3 years, and lifetime was estimated to be $1287.07, $1148.91, and $1795.06, respectively. CONCLUSION: The analysis suggests that the Caries Management System is most cost-effective in patients with a high risk of dental caries.

The value of N-terminal fragment of brain natriuretic peptide and tissue inhibitor of metalloproteinase-1 levels as predictors of cardiovascular outcome in the LIPID study.

AIMS: We sought to determine the association between two major biomarkers, the inactive N-terminal fragment of brain natriuretic peptide (NT-proBNP) and tissue inhibitor of metalloproteinase-1 (TIMP-1) and long-term cardiovascular outcomes in a cohort of subjects who had a myocardial infarction or unstable angina 3-36 months previously. METHODS AND RESULTS: Plasma NT-proBNP and TIMP-1 were measured in a nested case control study of 250 randomly matched subject pairs enrolled in the long-term intervention with pravastatin in ischaemic disease (LIPID) and LIPID extended follow-up studies. Cases (n = 250) were defined as those who had a cardiovascular death, non-fatal myocardial infarction or stroke during the studies. Controls (n = 250) remained event-free for the same follow-up duration (average 2.5 years) as the matched cases. The relationships between cases and plasma NT-proBNP and TIMP-1 were adjusted for the LIPID risk score, treatment allocation and other biomarkers (CRP, IL-6 and white cell count), and examined using a multivariable conditional logistic regression model. NT-proBNP levels were significantly higher in the cases than in the controls [389 (152-864) vs. 198 (93-416) pg/mL, median (25%-75% percentiles), P < 0.001]. The odds ratio (OR) of recurrent cardiovascular events in individuals in the highest quartile was three times higher than those in the lowest quartile (95% confidence interval (CI) 1.8-5.1; P < 0.001). Similarly, TIMP-1 levels were significantly higher among cases compared with controls (806 vs. 736 pg/mL, median: highest vs. lowest quartile: OR 2.8, 95% CI 1.6-4.7; P < 0.001). After adjustment for the LIPID risk score, treatment with pravastatin and other biomarkers, both NT-proBNP and TIMP-1 predicted cardiovascular events significantly and independently of each other. CONCLUSION: The study suggests that in subjects with stable ischaemic disease, NT-proBNP and TIMP-1 are independent predictive markers of coronary heart disease outcome.

Quality of life and survival in the 2 years after surgery for non small-cell lung cancer.

PURPOSE: Although surgery for early-stage non-small-cell lung cancer (NSCLC) is known to have a substantial impact on health-related quality of life (HRQOL), there are few published studies about HRQOL in the longer term. This article examines HRQOL and survival in the 2 years after surgery. PATIENTS AND METHODS: Patients with clinical stage I or II NSCLC (n = 173) completed HRQOL questionnaires before surgery, at discharge, 1 month after surgery, and then every 4 months for 2 years. HRQOL was measured with a generic cancer questionnaire (European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire [EORTC-QLQ] C30) and a lung cancer-specific questionnaire (EORTC QLQ-LC13). Data were analyzed to examine the impact of surgery and any subsequent therapy, and to describe the trajectories of those who remained disease free at 2 years and those with recurrent cancer diagnosed during follow-up. RESULTS: Disease recurred within 2 years for 36% of patients and 2-year survival was 65%. Surgery substantially reduced HRQOL across all dimensions except emotional functioning. HRQOL improved in the 2 years after surgery for patients without disease recurrence, although approximately half continued to experience symptoms and functional limitations. For those with recurrence within 2 years, there was some early postoperative recovery in HRQOL, with subsequent deterioration across most dimensions. CONCLUSION: Surgery had a substantial impact on HRQOL, and although many disease-free survivors experienced recovery, some lived with long-term HRQOL impairment. HRQOL generally worsened with disease recurrence. The study results are important for informed decision making and ongoing supportive care for patients with operable NSCLC.

Guidelines for selecting among different types of bootstraps.

BACKGROUND: The bootstrap has become very popular in health economics. Its success lies in the ease of estimating sampling distribution, standard error and confidence intervals with few or no assumptions about the distribution of the underlying population. OBJECTIVE: The purpose of this paper is three-fold: (1) to provide an overview of four common bootstrap techniques for readers who have little or no statistical background; (2) to suggest a guideline for selecting the most applicable bootstrap technique for your data; and (3) to connect guidelines with a real world example, to illustrate how different bootstraps behave in one model, or in different models. RESULTS: The assumptions of homoscedasticity and normality are key to selecting the best bootstrapping technique. These assumptions should be tested before applying any bootstrapping technique. If homoscedasticity and normality hold, then parametric bootstrapping is consistent and efficient. Paired and wild bootstrapping are consistent under heteroscedasticity and non-normality assumptions. CONCLUSION: Selecting the correct type of bootstrapping is crucial for arriving at efficient estimators. Our example illustrates that if we selected an inconsistent bootstrapping technique, results could be misleading. An insignificant effect of controller treatment on total health expenditures among asthma patients would have been found significant and negative by an improperly chosen bootstrapping technique, regardless of the type of model chosen.

Neither plasma coenzyme Q10 concentration, nor its decline during pravastatin therapy, is linked to recurrent cardiovascular disease events: a prospective case-control study from the LIPID study.

Statins decrease LDL cholesterol and the risk of atherosclerotic cardiovascular disease (CVD). They also decrease coenzyme Q10 (CoQ10), an effect that may negate some of the statin benefit on CVD. We examined the relationship between plasma CoQ10 concentration and CVD in a prospective case-control study of the effect of pravastatin. Plasma samples from 250 LIPID trial patients who over 6 years suffered a recurrent CVD event (CVD death, nonfatal MI or stroke) and 250 matched controls who remained event-free for the same duration of follow-up were assayed for CoQ10 and lipids (cholesterol and cholesterylesters). Mean plasma CoQ10 concentrations were significantly lower in pravastatin-treated patients than in those assigned placebo (0.51 versus 0.60 micromol/L, P = 0.006), and there was a moderate correlation between CoQ10 and common cholesterylesters (Pearson correlation coefficients in patients randomised to placebo, range r = 0.42-0.63). Univariate conditional logistic regression did not suggest any relationship between plasma CoQ10 and the risk of future CVD events (odds ratio 1.18; 95% CI 0.74-1.87; P = 0.49). Instead, we observed a reduction in the rate of recurrent CVD events with increasing ratio of plasma cholesterylarachidonate to cholesteryllinoleate. This study confirms that pravastatin lowers plasma CoQ10 concentrations, but this does not appear to predict the risk of recurrent CVD events.

Costing the components of pain management: analysis of Trans-Tasman Radiation Oncology Group trial (TROG 96.05): one versus five fractions for neuropathic bone pain.

BACKGROUND AND PURPOSE: Bone metastases causing neuropathic pain (NBP) have traditionally been treated with fractionated radiotherapy (RT). A recently reported randomised Trans-Tasman Radiation Oncology Group trial (TROG 96.05) supports this approach in many cases [Roos DE, Turner SL, O'Brien PC et al. Randomised trial of 8 Gy in 1 versus 20 Gy in 5 fractions of radiotherapy for neuropathic pain due to bone metastases (Trans-Tasman Radiation Oncology Group, TROG 96.05). Radiother Oncol 2005;75:54-63]. This study sought to compare costs to the Australian health-care system for patients receiving 1 versus 5 fractions for NBP. PATIENTS AND METHODS: The RT and medication costs for 245 patients treated on TROG 96.05 were determined from trial data out to 3 months from RT. Admission costs and causes were derived from hospital records. RESULTS: RT costs (including re-treatments) were calculated to be 222 and 724 Australian dollars (A dollars) per patient for the 8 Gy/1 and 20 Gy/5 arms, respectively. This difference increased when analgesics (A dollars 192 versus A dollars 229) and related hospital admissions (A dollars 1,411 versus A dollars 1,893) were considered. Sensitivity analysis demonstrated an incremental cost saving of between A dollars 795 and A dollars 1,468 for single fraction RT. Admission rates had the strongest potential to distort cost differences. CONCLUSIONS: Clinical outcomes are paramount in choice of fractionation scheme but are optimally considered in the light of economic implications. Overall cost differences between fractionation schedules may vary greatly from those incurred by the RT treatment centre alone. Ideally, such economic evaluations should be planned at the outset of a trial.

Relation of diet to cardiovascular disease risk factors in subjects with cardiovascular disease in Australia and New Zealand: analysis of the Long-Term Intervention with Pravastatin in Ischaemic Disease trial.

BACKGROUND: Comparisons of the relation of diet with coronary heart disease (CHD) between countries with similar socioeconomic environments have been few. Patients in Australia and New Zealand (n = 9014) who participated in a large secondary prevention trial had significantly different CHD mortality rates. OBJECTIVE: The objective of this study was to ascertain the effects of nutrient consumption on cardiovascular disease risk in patients from the 2 countries. DESIGN: Nutrient consumption patterns were surveyed in a subgroup of 1077 patients on 3 occasions over 4 y during an intervention trial with a statin. RESULTS: Within the entire cohort of 9014 patients, the New Zealanders had significantly (40%) more cardiovascular deaths than did the Australians. In the subgroup of 1077 patients, the New Zealanders were found at entry to have eaten significantly more total (69.34 +/- 12.35 compared with 66.45 +/- 12.9 g/d) and saturated (26.23 +/- 8.41 compared with 24.37 +/- 7.36 g/d) fat (P < 0.001 for each) and to have significantly (4%) higher concentrations of LDL cholesterol (3.96 +/- 0.74 compared with 3.8 +/- 0.76 mmol/L; P < 0.001) than did the Australians. At baseline, patients with previous coronary artery bypass grafting had diets that were significantly different from those of patients without previous coronary artery bypass grafting. Relations between nutrients and plasma lipids confirmed the direct effects of saturated fatty acids on LDL cholesterol and of alcohol on plasma triacylglycerol and HDL cholesterol. Dietary counseling throughout the trial led to significant improvements in compliance with guidelines. However, neither the baseline nor the improved 1-y nutrient intakes predicted future changes in cardiovascular events. CONCLUSION: Differences in CHD mortality and in LDL-cholesterol concentrations between 2 populations with similar socioeconomic and cultural backgrounds were consistent with the amounts and types of fats eaten.

Randomized controlled trial of the role of positron emission tomography in the management of stage I and II non-small-cell lung cancer.

PURPOSE: Positron emission tomography (PET) is a costly new technology with potential to improve preoperative evaluation for patients with non-small-cell lung cancer (NSCLC). There is increasing pressure for PET to be included in standard diagnostic work-up before decisions about surgical management of NSCLC. The resource implications of its widespread use in staging NSCLC are significant. METHODS: A randomized controlled trial was conducted to investigate the impact of PET on clinical management and surgical outcomes for patients with stage I-II NSCLC. The primary hypothesis was that PET would reduce the proportion of patients with stage I-II NSCLC who underwent thoracotomy by at least 10% through identification of patients with inoperable disease. RESULTS: One hundred eighty-four patients with stage I-II NSCLC were recruited and randomly assigned; 92% had stage I disease. Following exclusion of one ineligible patient, 92 patients were assigned to no PET and 91 to PET. Compared with conventional staging, PET upstaged 22 patients, confirmed staging in 61 and staged two patients as benign. Stage IV disease was rarely detected (two patients). PET led to further investigation or a change in clinical management in 13% of patients and provided information that could have affected management in a further 13% of patients. There was no significant difference between the trial arms in the number of thoracotomies avoided (P =.2). CONCLUSION: For patients who are carefully and appropriately staged as having stage I-II disease, PET provides potential for more appropriate stage-specific therapy but may not lead to a significant reduction in the number of thoracotomies avoided.

Measuring health system resource use for economic evaluation: a comparison of data sources.

A key challenge for evaluators and health system planners is the identification, measurement and valuation of resource use for economic evaluation. Accurately capturing all significant resource use is particularly difficult in the Australian context where there is no comprehensive database from which researchers can draw. Evaluators and health system planners need to consider different approaches to data collection for estimating resource use for economic evaluation, and the relative merits of the different data sources available. This paper illustrates the issues that arise in using different data sources using a sub-sample of the data being collected for an economic evaluation. Specifically, it compares the use of Australia's largest administrative database on resource use, the Health Insurance Commission database, with the use of patient-supplied data. The extent of agreement and discrepancies between the two data sources is investigated. Findings from this study and recommendations as to how to deal with different data sources are presented.