Lifetime cost-effectiveness and equity impacts of the Healthy Primary School of the Future initiative.

BACKGROUND: This study estimated the lifetime cost-effectiveness and equity impacts associated with two lifestyle interventions in the Dutch primary school setting (targeting 4-12 year olds). METHODS: The Healthy Primary School of the Future (HPSF; a healthy school lunch and structured physical activity) and the Physical Activity School (PAS; structured physical activity) were compared to the regular Dutch curriculum (N = 1676). An adolescence model, calculating weight development, and the RIVM Chronic Disease Model, calculating overweight-related chronic diseases, were linked to estimate the lifetime impact on chronic diseases, quality adjusted life years (QALYs), healthcare, and productivity costs. Cost-effectiveness was expressed as the additional costs/QALY gained and we used €20,000 as threshold. Scenario analyses accounted for alternative effect maintenance scenarios and equity analyses examined cost-effectiveness in different socioeconomic status (SES) groups. RESULTS: HPSF resulted in a lifetime costs of €773 (societal perspective) and a lifetime QALY gain of 0.039 per child versus control schools. HPSF led to lower costs and more QALYs as compared to PAS. From a societal perspective, HPSF had a cost/QALY gained of €19,734 versus control schools, 50% probability of being cost-effective, and beneficial equity impact (0.02 QALYs gained/child for low versus high SES). The cost-effectiveness threshold was surpassed when intervention effects decayed over time. CONCLUSIONS: HPSF may be a cost-effective and equitable strategy for combatting the lifetime burden of unhealthy lifestyles. The win-win situation will, however, only be realised if the intervention effect is sustained into adulthood for all SES groups. TRIAL REGISTRATION: Clinicaltrials.gov ( NCT02800616 ). Registered 15 June 2016 - Retrospectively registered.

You Only Die Once: Accounting for Multi-Attributable Mortality Risks in Multi-Disease Models for Health-Economic Analyses.

Mortality rates in Markov models, as used in health economic studies, are often estimated from summary statistics that allow limited adjustment for confounders. If interventions are targeted at multiple diseases and/or risk factors, these mortality rates need to be combined in a single model. This requires them to be mutually adjusted to avoid 'double counting' of mortality. We present a mathematical modeling approach to describe the joint effect of mutually dependent risk factors and chronic diseases on mortality in a consistent manner. Most importantly, this approach explicitly allows the use of readily available external data sources. An additional advantage is that existing models can be smoothly expanded to encompass more diseases/risk factors. To illustrate the usefulness of this method and how it should be implemented, we present a health economic model that links risk factors for diseases to mortality from these diseases, and describe the causal chain running from these risk factors (e.g., obesity) through to the occurrence of disease (e.g., diabetes, CVD) and death. Our results suggest that these adjustment procedures may have a large impact on estimated mortality rates. An improper adjustment of the mortality rates could result in an underestimation of disease prevalence and, therefore, disease costs.

Projecting the COPD population and costs in England and Scotland: 2011 to 2030.

We aimed to estimate the prevalence, healthcare costs and number of deaths among people with chronic obstructive pulmonary disease (COPD) in England and Scotland 2011-2030. We adapted the Dutch COPD Model by using English and Scottish demographic, COPD incidence, COPD prevalence, smoking prevalence and mortality data to make projections. In England, the prevalence of COPD was estimated to be 1.79% (95% uncertainty interval 1.77-1.81) in 2011, increasing to 2.19% (1.85-2.33) by 2030. In Scotland, prevalence was 2.03% (1.96-2.10) in 2011 increasing to 2.20% (1.98-2.40) in 2030. These increases were driven by more women developing COPD. Annual direct healthcare costs of COPD in England were estimated to increase from £1.50 billon (1.18-2.50) in 2011 to £2.32 (1.85-3.08) billion in 2030. In Scotland, costs increased from £159 million (128-268) in 2011 to £207 (165-274) million in 2030. The deaths in England were estimated to increase from 99,200 (92,500-128,500) in 2011, to 129,400 (126,400-133,400) by 2030. In Scotland, in 2011 there were 9,700 (9,000-12,300) deaths and 13,900 (13,400-14,500) deaths in 2030. The number of people with COPD will increase substantially over the coming years in England and Scotland, particularly in females. Services need to adapt to this increasing demand.

Tobacco control policies specified according to socioeconomic status: health disparities and cost-effectiveness.

INTRODUCTION: Little is known about the cost-effectiveness of tobacco control policy for different socioeconomic status (SES) groups. We aimed to evaluate SES-specific cost-effectiveness ratios of policies with known favorable effect in low-SES groups: a tobacco tax increase and reimbursement of cessation support. METHODS: A computer model of the adult population specified by smoking behavior (never/current/former smoker), age, gender, and SES simulated policy scenarios reflecting the implementation of a €0.22 tobacco tax increase or full reimbursement of cessation support, which were compared. Relating differences in costs to quality-adjusted life years (QALYs) gained generated cost-effectiveness ratios for each SES group. RESULTS: In a cohort of 11 million people, the tobacco tax increase resulted in 27,000 additional quitters after 5 years, who were proportionally divided among the SES groups. Reimbursement led to 59,000 additional quitters, with relatively more quitters in higher-SES groups. The number of QALYs gained were 3,400-6,200 among the various SES groups for the tax increase and 6,300-14,000 for the reimbursement scenario. For both interventions, favorability of the cost-effectiveness ratios increased with SES: costs per QALY decreased from €6,100 to €4,500 for the tax increase and from €21,000 to €11,000 for reimbursement. CONCLUSIONS: The reimbursement policy produced the greatest overall health gain. Surprisingly, neither tax increase nor reimbursement reduced health disparities. Differences in use were too small to compensate for improved health gains per quitter among higher-SES groups. Both policies qualified as cost-effective overall, with more favorable cost-effectiveness ratios for high-SES than for low-SES groups.

[Societal costs of asthma, COPD and respiratory allergy]. / Maatschappelijke kosten van astma, COPD en respiratoire allergie.

OBJECTIVE: To estimate the societal costs of asthma, COPD and respiratory allergy for the year 2007 and future healthcare costs for the period 2007-2032. DESIGN: Descriptive study. METHODS: Representative registries were used to estimate the healthcare costs of asthma, COPD and respiratory allergy for the year 2007. A simulation model for asthma and COPD and a demographic projection for respiratory allergy were used to determine future healthcare costs. Production losses due to sick leave and work incapacity were calculated using the friction-cost method. RESULTS: Total healthcare costs for asthma, COPD and respiratory allergy in 2007 were estimated at 287, 415 and 103 million euros respectively; on average 530, 1400 and 170 euros per patient with asthma, COPD and respiratory allergy. Average costs of sick leave for asthma were on average 1200 euros and for COPD 1900 euros per employee per year. The costs of work incapacity of an employee with COPD were 1200 euros. There is expected to be an increase in the number of patients from 443,000 in 2007 to 567,000 in 2032 for asthma and from 335,000 to 600,000 for COPD. The number of patients with a respiratory allergy are expected to remain approximately stable at 625,000 patients. The healthcare costs for respiratory allergy are expected to rise by 73%, those for asthma to double, and those for COPD to triple. CONCLUSION: Patients with asthma and COPD have high healthcare costs. Sick leave makes up a large part of the costs of asthma and COPD. In addition, the costs of work incapacity for employees with COPD are high. The number of patients with asthma and COPD will rise in the coming decades, as well as the healthcare costs for these diseases.

The DYNAMO-HIA model: an efficient implementation of a risk factor/chronic disease Markov model for use in Health Impact Assessment (HIA).

In Health Impact Assessment (HIA), or priority-setting for health policy, effects of risk factors (exposures) on health need to be modeled, such as with a Markov model, in which exposure influences mortality and disease incidence rates. Because many risk factors are related to a variety of chronic diseases, these Markov models potentially contain a large number of states (risk factor and disease combinations), providing a challenge both technically (keeping down execution time and memory use) and practically (estimating the model parameters and retaining transparency). To meet this challenge, we propose an approach that combines micro-simulation of the exposure information with macro-simulation of the diseases and survival. This approach allows users to simulate exposure in detail while avoiding the need for large simulated populations because of the relative rareness of chronic disease events. Further efficiency is gained by splitting the disease state space into smaller spaces, each of which contains a cluster of diseases that is independent of the other clusters. The challenge of feasible input data requirements is met by including parameter calculation routines, which use marginal population data to estimate the transitions between states. As an illustration, we present the recently developed model DYNAMO-HIA (DYNAMIC MODEL for Health Impact Assessment) that implements this approach.

Cost-effectiveness of counseling and pedometer use to increase physical activity in the Netherlands: a modeling study.

BACKGROUND: Counseling in combination with pedometer use has proven to be effective in increasing physical activity and improving health outcomes. We investigated the cost-effectiveness of this intervention targeted at one million insufficiently active adults who visit their general practitioner in the Netherlands. METHODS: We used the RIVM chronic disease model to estimate the long-term effects of increased physical activity on the future health care costs and quality adjusted life years (QALY) gained, from a health care perspective. RESULTS: The intervention resulted in almost 6000 people shifting to more favorable physical-activity levels, and in 5100 life years and 6100 QALYs gained, at an additional total cost of EUR 67.6 million. The incremental cost-effectiveness ratio (ICER) was EUR 13,200 per life year gained and EUR 11,100 per QALY gained. The intervention has a probability of 0.66 to be cost-effective if a QALY gained is valued at the Dutch informal threshold for cost-effectiveness of preventive intervention of EUR 20,000. A sensitivity analysis showed substantial uncertainty of ICER values. CONCLUSION: Counseling in combination with pedometer use aiming to increase physical activity may be a cost-effective intervention. However, the intervention only yields relatively small health benefits in the Netherlands.

Developing and applying a stochastic dynamic population model for chronic obstructive pulmonary disease.

OBJECTIVES: To develop a stochastic population model of disease progression in chronic obstructive pulmonary disease (COPD) that includes the effects of COPD exacerbations on health-related quality of life, costs, disease progression, and mortality and can be used to assess the effects of a wide range of interventions. METHODS: The model is a multistate Markov model with time varying transition rates specified by age, sex, smoking status, COPD disease severity, and/or exacerbation type. The model simulates annual changes in COPD prevalence due to COPD incidence, exacerbations, disease progression (annual decline in the forced expiratory volume in 1 second as percentage of the predicted value), and mortality. The main outcome variables are quality-adjusted life years, total exacerbations, and COPD-related health care costs. Exacerbation-related input parameters were based on quantitative meta-analysis. All important model parameters are entered into the model as probability distributions. To illustrate the potential use of the model, costs and effects were calculated for 3-year implementation of three different COPD interventions, one pharmacologic, one on smoking cessation, and one on pulmonary rehabilitation using a time horizon of 10 years for reporting outcomes. RESULTS: Compared with minimal treatment the cost/quality-adjusted life year was €8,300 for the pharmacologic intervention, €10,800 for the smoking cessation therapy, €8,700 for the combination of the pharmacologic intervention and the smoking cessation therapy, and €17,200 for the pulmonary rehabilitation program. The probability of the interventions to be cost-effective at a ceiling ratio of €20,000 varied from 58% to 100%. CONCLUSIONS: The COPD model provides policy makers with information about the long-term costs and effects of interventions over the entire chain of care, from primary prevention to care for very severe COPD and includes uncertainty around the outcomes.

Economic evaluation and the postponement of health care costs.

The inclusion of medical costs in life years gained in economic evaluations of health care technologies has long been controversial. Arguments in favour of the inclusion of such costs are gaining support, which shifts the question from whether to how to include these costs. This paper elaborates on the issue how to include cost in life years gained in cost effectiveness analysis given the current practice of economic evaluations in which costs of related diseases are included. We combine insights from the theoretical literature on the inclusion of unrelated medical costs in life years gained with insights from the so-called 'red herring' literature. It is argued that for most interventions it would be incorrect to simply add all medical costs in life years gained to an ICER, even when these are corrected for postponement of the expensive last year of life. This is the case since some of the postponement mechanism is already captured in the unadjusted ICER by modelling the costs of related diseases. Using the example of smoking cessation, we illustrate the differences and similarities between different approaches. The paper concludes with a discussion about the proper way to account for medical costs in life years gained in economic evaluations.

Long-term effectiveness and cost-effectiveness of smoking cessation interventions in patients with COPD.

BACKGROUND: The aim of this study was to estimate the long-term (cost-) effectiveness of smoking cessation interventions for patients with chronic obstructive pulmonary disease (COPD). METHODS: A systematic review was performed of randomised controlled trials on smoking cessation interventions in patients with COPD reporting 12-month biochemical validated abstinence rates. The different interventions were grouped into four categories: usual care, minimal counselling, intensive counselling and intensive counselling + pharmacotherapy ('pharmacotherapy'). For each category the average 12-month continuous abstinence rate and intervention costs were estimated. A dynamic population model for COPD was used to project the long-term (cost-) effectiveness (25 years) of 1-year implementation of the interventions for 50% of the patients with COPD who smoked compared with usual care. Uncertainty and one-way sensitivity analyses were performed for variations in the calculation of the abstinence rates, the type of projection, intervention costs and discount rates. RESULTS: Nine studies were selected. The average 12-month continuous abstinence rates were estimated to be 1.4% for usual care, 2.6% for minimal counselling, 6.0% for intensive counselling and 12.3% for pharmacotherapy. Compared with usual care, the costs per quality-adjusted life year (QALY) gained for minimal counselling, intensive counselling and pharmacotherapy were euro 16 900, euro 8200 and euro 2400, respectively. The results were most sensitive to variations in the estimation of the abstinence rates and discount rates. CONCLUSION: Compared with usual care, intensive counselling and pharmacotherapy resulted in low costs per QALY gained with ratios comparable to results for smoking cessation in the general population. Compared with intensive counselling, pharmacotherapy was cost saving and dominated the other interventions.

If you try to stop smoking, should we pay for it? The cost-utility of reimbursing smoking cessation support in the Netherlands.

BACKGROUND: Smoking cessation can be encouraged by reimbursing the costs of smoking cessation support (SCS). The short-term efficiency of reimbursement has been evaluated previously. However, a thorough estimate of the long-term cost-utility is lacking. OBJECTIVES: To evaluate long-term effects of reimbursement of SCS. METHODS: Results from a randomized controlled trial were extrapolated to long-term outcomes in terms of health care costs and (quality adjusted) life years (QALY) gained, using the Chronic Disease Model. Our first scenario was no reimbursement. In a second scenario, the short-term cessation rates from the trial were extrapolated directly. Sensitivity analyses were based on the trial's confidence intervals. In the third scenario the additional use of SCS as found in the trial was combined with cessation rates from international meta-analyses. RESULTS: Intervention costs per QALY gained compared to the reference scenario were approximately euro1200 extrapolating the trial effects directly, and euro4200 when combining the trial's use of SCS with the cessation rates from the literature. Taking all health care effects into account, even costs in life years gained, resulted in an estimated incremental cost-utility of euro4500 and euro7400, respectively. In both scenarios costs per QALY remained below euro16 000 in sensitivity analyses using a life-time horizon. CONCLUSIONS: Extrapolating the higher use of SCS due to reimbursement led to more successful quitters and a gain in life years and QALYs. Accounting for overheads, administration costs and the costs of SCS, these health gains could be obtained at relatively low cost, even when including costs in life years gained. Hence, reimbursement of SCS seems to be cost-effective from a health care perspective.

Chronic disease projections in heterogeneous ageing populations: approximating multi-state models of joint distributions by modelling marginal distributions.

To quantify the effects of changes in risk factors for chronic diseases on morbidity and mortality, Markov-type multi-state models are used. However, with multiple risk factors and many diseases relating to these risk factors, these models contain a large number of states. In this paper, we present an alternative modelling methodology implemented in the National Institute for Public Health and the Environment chronic disease model. This model includes multiple states based on risk factor levels and disease stages but only keeps track of the marginal probability values. Starting from the multi-state model, differential equations are derived that describe the change of the marginal distribution for each risk factor class and disease stage, taking into account population heterogeneity and competing mortality risks. The model is illustrated by presenting results of a scenario affecting disease incidence by altering the risk factor distribution of the population. To show the strength of the approximating model, we compare its results to those of the multi-state Markov model.

Healthcare costs and obesity prevention: drug costs and other sector-specific consequences.

BACKGROUND: Obesity is a major contributor to the overall burden of disease (also reducing life expectancy) and associated with high medical costs due to obesity-related diseases. However, obesity prevention, while reducing obesity-related morbidity and mortality, may not result in overall healthcare cost savings because of additional costs in life-years gained. Sector-specific financial consequences of preventing obesity are less well documented, for pharmaceutical spending as well as for other healthcare segments. OBJECTIVE: To estimate the effect of obesity prevention on annual and lifetime drug spending as well as other sector-specific expenditures, i.e. the hospital segment, long-term care segment and primary healthcare. METHODS: The RIVM (Dutch National Institute for Public Health and the Environment) Chronic Disease Model and Dutch cost of illness data were used to simulate, using a Markov-type model approach, the lifetime expenditures in the pharmaceutical segment and three other healthcare segments for a hypothetical cohort of obese (body mass index [BMI] >or=30 kg/m2), non-smoking people with a starting age of 20 years. In order to assess the sector-specific consequences of obesity prevention, these costs were compared with the costs of two other similar cohorts, i.e. a 'healthy-living' cohort (non-smoking and a BMI >or=18.5 and <25 kg/m2) and a smoking cohort. To assert whether preventing obesity results in cost savings in any of the segments, net present values were estimated using different discount rates. Sensitivity analyses were conducted across key input values and using a broader definition of healthcare. RESULTS: Lifetime drug expenditures are higher for obese people than for 'healthy-living' people, despite shorter life expectancy for the obese. Obesity prevention results in savings on drugs for obesity-related diseases until the age of 74 years, which outweigh additional drug costs for diseases unrelated to obesity in life-years gained. Furthermore, obesity prevention will increase long-term care expenditures substantially, while savings in the other healthcare segments are small or non-existent. Discounting costs more heavily or using lower relative mortality risks for obesity would make obesity prevention a relatively more attractive strategy in terms of healthcare costs, especially for the long-term care segment. Application of a broader definition of healthcare costs has the opposite effect. CONCLUSIONS: Obesity prevention will likely result in savings in the pharmaceutical segment, but substantial additional costs for long-term care. These are important considerations for policy makers concerned with the future sustainability of the healthcare system.

[Diabetes mellitus in the Netherlands: estimate of the current disease burden and prognosis for 2025]. / Diabetes mellitus in Nederland: schatting van de huidige ziektelast en prognose voor 2025.

OBJECTIVE: To estimate the number of people with diagnosed diabetes mellitus in the Netherlands in 2007 using a new method; to describe trends in the past; to predict the situation in 2025. DESIGN: Model calculations. METHODS: Based on five general practice records (Nijmegen Continuous Morbidity Registration [CMR], Netherlands Information Network of General Practice [LINH], Limburg Family Practice Registration Network [RNH-Limburg], Registration Network University Family Practices, Leiden and its environs [RNUH-LEO], and the transition project) the prevalence and incidence of diagnosed diabetes in the Netherlands in 2007 was estimated. Trends in the prevalence of diagnosed diabetes were estimated from the five records over the period 2000-2007. The prevalence of diagnosed diabetes in 2025 was estimated using the Dutch Chronic Diseases Model, which takes into account demographic developments and a further increase in obesity in the Netherlands in the future. RESULTS: In 2007, 740,000 persons (95% CI: 665,000-824,000) with diabetes were undergoing care. The incidence of new diabetes during 2007 was 71,000 (95% CI: 57,000-90,000). The prevalence of diagnosed diabetes increased by almost 80% in 2000-2007. The model projection resulted in an estimate of 1.3 million people with diagnosed diabetes in 2025, i.e. 8% of the Dutch population. There is a high level of uncertainty about these estimates. CONCLUSION: The increase in the number of diabetes patients in 2025 has consequences for care and will require measures to be taken in coming years in the areas of prevalence and care organisation.

Cost-effectiveness of an opportunistic screening programme and brief intervention for excessive alcohol use in primary care.

BACKGROUND: Effective prevention of excessive alcohol use has the potential to reduce the public burden of disease considerably. We investigated the cost-effectiveness of Screening and Brief Intervention (SBI) for excessive alcohol use in primary care in the Netherlands, which is targeted at early detection and treatment of 'at-risk' drinkers. METHODOLOGY AND RESULTS: We compared a SBI scenario (opportunistic screening and brief intervention for 'at-risk' drinkers) in general practices with the current practice scenario (no SBI) in The Netherlands. We used the RIVM Chronic Disease Model (CDM) to extrapolate from decreased alcohol consumption to effects on health care costs and Quality Adjusted Life Years (QALYs) gained. Probabilistic sensitivity analysis was employed to study the effect of uncertainty in the model parameters. In total, 56,000 QALYs were gained at an additional cost of 298,000,000 euros due to providing alcohol SBI in the target population, resulting in a cost-effectiveness ratio of 5,400 euros per QALY gained. CONCLUSION: Prevention of excessive alcohol use by implementing SBI for excessive alcohol use in primary care settings appears to be cost-effective.

Cost-effectiveness of lifestyle modification in diabetic patients.

OBJECTIVE To explore the potential long-term health and economic consequences of lifestyle interventions for diabetic patients. RESEARCH DESIGN AND METHODS A literature search was performed to identify interventions for diabetic patients in which lifestyle issues were addressed. We selected recent (2003-2008), randomized controlled trials with a minimum follow-up of 12 months. The long-term outcomes for these interventions, if implemented in the Dutch diabetic population, were simulated with a computer-based model. Costs and effects were discounted at, respectively, 4 and 1.5% annually. A lifelong time horizon was applied. Probabilistic sensitivity analyses were performed, taking account of variability in intervention costs and (long-term) treatment effects. RESULTS Seven trials with 147-5,145 participants met our predefined criteria. All interventions improved cardiovascular risk factors at > or =1 year follow-up and were projected to reduce cardiovascular morbidity over lifetime. The interventions resulted in an average gain of 0.01-0.14 quality-adjusted life-years (QALYs) per participant. Health benefits were generally achieved at reasonable costs (< or =euro50,000/QALY). A self-management education program (X-PERT) and physical activity counseling achieved the best results with > or =0.10 QALYs gained and > or =99% probability to be very cost-effective (< or =euro20,000/QALY). CONCLUSIONS Implementation of lifestyle interventions would probably yield important health benefits at reasonable costs. However, essential evidence for long-term maintenance of health benefits was limited. Future research should be focused on long-term effectiveness and multiple treatment strategies should be compared to determine incremental costs and benefits of one over the other.

The cost-effectiveness of implementing a new guideline for cardiovascular risk management in primary care in the Netherlands.

BACKGROUND: A new Dutch guideline for cardiovascular disease management substantially extends the number of individuals for whom treatment with statins and/or antihypertensive agents is recommended. We estimated the cost-effectiveness of implementing the new guideline at the national level. METHODS: First, the number of currently untreated individuals who would become eligible for cholesterol-lowering or antihypertensive treatment under the new guideline was estimated using data from a recent population study. Cost-effectiveness of treating this group of patients was then assessed using a mathematical model. RESULTS: Implementing the guideline in the age category 30-69 years would lead to an additional 465,000 individuals requiring treatment. Over a period of 20 years, the cumulative incidence of acute myocardial infarction in the whole population would drop by 3.0%, that of stroke by 3.9%, and all-cause mortality would drop by 0.9%. The lifetime cost-effectiveness ratio was calculated to be 15,000 Euro per quality-adjusted life year gained. In the age categories 70-79 years and 80 years or above, an additional 600,000 and 450,000 persons, respectively, would need to be treated, resulting in corresponding reductions in cumulative incidences of 14 and 18% (acute myocardial infarction), 17 and 22% (stroke), and 1.2 and 0.6% (all-cause mortality) with cost-effectiveness ratios of 20,800 and 32,300 Euro, respectively, per quality-adjusted life year. CONCLUSION: Complete implementation of the new guideline would lead to a considerable increase in the number of individuals requiring treatment. This would be cost-effective up to the age of 70 years.