Modelling the cost effectiveness of treatments for Parkinson's disease: a methodological review

Modelling the Cost Effectiveness of Treatments for Parkinson's Disease: An Updated Methodological Review

OBJECTIVE

This article systematically reviewed the methodological quality of modelling approaches for economic evaluations of the treatment of motor symptoms in Parkinson's disease in studies published after 2010.

METHODS

A systematic literature search was undertaken using PubMed, EconLit, the Cochrane Database of Systematic Reviews, National Health Service Economic Evaluation Database and Health Technology Assessment databases of the UK National Health Service Centre for Review and Dissemination (March 2010 to July 2022). Quality was assessed using a checklist from the German Scientific Working Group.

RESULTS

A total of 20 studies were evaluated, with the majority based on Markov models (n = 18). Studies assessed the cost effectiveness of medical (n = 12) or surgical (n = 8) treatment, and included costs from a payer or healthcare provider's perspective (n = 17). Furthermore, all studies included quality-adjusted life-years as an effect measure. In the quality assessment of the literature, a mean score of 42.1 points (out of 56 points) on the checklist of the German Scientific Working Group was achieved. Seventeen studies concluded the intervention under study was (likely) cost effective. No intervention was classified as cost ineffective.

CONCLUSIONS

The quality of economic evaluation models in Parkinson's disease has improved in terms of calculating cost and transition parameters, as well as carrying out probabilistic sensitivity analyses, compared with the published literature of previous systematic reviews up to 2010. However, there is still potential for further development in terms of the integration of non-motor complications and treatment changes, the transparent presentation of parameter estimates, as well as conducting sensitivity analyses and validations to support the interpretation of results.

Patient Utilities in Health States Based on Hoehn and Yahr and Off-Time in Parkinson's Disease: A Swedish Register-Based Study in 1823 Observations

BACKGROUND

Cost-effectiveness models in Parkinson's disease often include health states based on Hoehn and Yahr (H&Y) and time in 'off'. Few studies have investigated utilities in these health states.

OBJECTIVE

The aim of this study was firstly to explore utilities in health states based on H&Y and off-time, and secondly to investigate to what extent H&Y and off-time correlated with EQ-5D dimensions.

METHODS

Patients with idiopathic Parkinson's disease in the National Parkinson's Disease Patient Registry (PARKreg) in Sweden with observations of EQ-5D-3L, H&Y and off-time were included. Correlations with EQ-5D dimensions were analyzed. The relationship between the EQ-5D-3L and H&Y and off-time were estimated by a linear mixed-model with random intercept.

RESULTS

Among patients in PARKreg, 1823 observations fulfilled inclusion criteria. The dimensions 'self-care', 'mobility' and 'usual activities' correlated moderately with H&Y (r_s = 0.45, r_s = 0.46, r_s = 0.45). Weak correlations were found for 'anxiety/depression' and 'pain/discomfort' (r_s = 0.24, r_s = 0.22) (p values < 0.001). All dimensions correlated weakly with off-time. The fitted model included H&Y, time in 'off', and sex. All H&Y stages were found to be significant and had large and monotonous impact on EQ-5D. Off-time was not significant, but improved the model goodness of fit. Predicted values ranged from 0.733 to - 0.106.

CONCLUSION

This study provides utilities for health states reflecting the current modeling practice of interventions targeting motor symptoms in Parkinson's disease. Future research should investigate patient utilities in health states that also capture non-motor symptoms of the disease, as the management of and options for treatments targeting these symptoms increases.

Modeling long-term health and economic implications of new treatment strategies for Parkinson's disease: an individual patient simulation study

Background: Simulation modeling facilitates the estimation of long-term health and economic outcomes to inform healthcare decision-making. Objective: To develop a framework to simulate progression of Parkinson's disease (PD), capturing motor and non-motor symptoms, clinical outcomes, and associated costs over a lifetime. Methods: A patient-level simulation was implemented accounting for individual variability and interrelated changes in common disease progression scales. Predictive equations were developed to model progression for newly diagnosed patients and were combined with additional sources to inform long-term progression. Analyses compared a hypothetical disease-modifying therapy (DMT) with a standard of care to explore the drivers of cost-effectiveness. Results: The equations captured the dependence between the various measures, leveraging prior values and rates of change to obtain realistic predictions. The simulation was built upon several interrelated equations, validated by comparison with observed values for the Movement Disorder Society Unified PD Rating Scale (MDS-UPDRS) and UPDRS subscales over time. In a case study, disease progression rates, patient utilities, and direct non-medical costs were drivers of cost-effectiveness. Conclusions: The developed equations supported the simulation of early PD. This model can support conducting simulations to inform internal decision-making, trial design, and strategic planning early in the development of new DMTs entering clinical trials.

[Recommendation for the differentiated use of nuclear medical diagnostic for parkinsonian syndromes]

The present work provides an overview of the various nuclear medicine methods in the diagnosis of neurodegenerative parkinsonian syndromes and their respective evidence and is intended to enable practical decision-making aids in the application and interpretation of the methods and findings. The value of the procedures differs considerably in relation to the two relevant diagnostic questions. On the one hand, it is the question of whether there is a neurodegenerative parkinsonian syndrome at all, and on the other hand the question of which one. While the DAT-SPECT is undisputedly the method of choice for answering the first question (taking certain parameters into account), this method is not suitable for answering the second question. To categorise parkinsonian syndromes into idiopathic (i. e. Parkinson´s disease) or atypical, various procedures are used in everyday clinical practice including MIBG scintigraphy, and FDG-PET. We explain why FDG-PET currently is not only the most suitable of these methods to differentiate an idiopathic parkinsonian syndrome, from an atypical Parkinson's syndrome, but also enables sufficiently valid to distinguish the various atypical neurodegenerative Parkinson's syndromes (i. e. MSA, PSP and CBD) from each other and therefore should be reimbursed by health insurances.

Cost-Effectiveness Analysis of Deep Brain Stimulation for Parkinson Disease in Taiwan

BACKGROUND

Deep brain stimulation of the subthalamic nucleus (STN-DBS) is an effective therapy for Parkinson disease (PD). However, cost-effectiveness analysis is required because most patients are older adults and decision makers must therefore consider whether the long-term effectiveness outweighs the initial cost.

METHODS

A Markov decision model was constructed on the basis of a societal perspective. The Hoehn and Yahr scale and Unified PD Rating Scale motor score were used in the polytomous logistic regression model. Markov Chain Monte Carlo simulation was used to initiate the probabilistic cost-effectiveness analysis.

RESULTS

The life-year gained (LYG) in the STN-DBS group and medication group was, respectively, 2.937 and 2.632 years at the 3-year follow-up and 7.417 and 5.971 years at the 10-year follow-up. The quality-adjusted life-year (QALY) gained in the STN-DBS and medication groups was, respectively, 1.739 and 1.220 at the 3-year follow-up and 4.189 and 2.88 at the 10-year follow-up. The incremental cost-effectiveness ratio of STN-DBS compared with medication was $147,065 per LYG and $123,436 per QALY gained at the 3-year follow-up and $36,833 and $69,033 at the 10-year follow-up, respectively. STN-DBS is an optimal strategy when the willingness to pay is $150,000 per LYG and over $90,000 per QALY gained in 3 years and when the willingness to pay is over $38,000 per LYG and over $41,000 per QALY gained in 10 years.

CONCLUSIONS

This study provided data comparing STN-DBS and medical treatment for PD with respect to LYG and QALY gained. STN-DBS was more cost-effective in terms of LYG and QALY gained according to the current gross domestic product of Taiwan.

Cost-effectiveness of neurostimulation in Parkinson's disease with early motor complications

BACKGROUND

Recent research efforts have focused on the effects of deep brain stimulation of the subthalamic nucleus (STN DBS) for selected patients with mild-to-moderate PD experiencing motor complications.

OBJECTIVES

We assessed the cost utility of subthalamic DBS compared with the best medical treatment for German patients below the age of 61 with early motor complications of PD.

METHODS

We applied a previously published Markov model that integrated health utilities based on EuroQoL and direct costs over patients' lifetime adjusted to the German health care payer perspective (year of costing: 2013). Effectiveness was evaluated using the Parkinson's Disease Questionnaire 39 summary index. We performed sensitivity analyses to assess uncertainty.

RESULTS

In the base-case analysis, the incremental cost-utility ratio for STN DBS compared to best medical treatment was 22,700 Euros per quality-adjusted life year gained. The time to, and costs for, battery exchange had a major effect on the incremental cost-utility ratios, but never exceeded a threshold of 50,000 Euros per quality-adjusted life year.

CONCLUSIONS

Our decision analysis supports the fact that STN DBS at earlier stages of the disease is cost-effective in patients below the age of 61 when compared with the best medical treatment in the German health care system. This finding was supported by detailed sensitivity analyses reporting robust results. Whereas the EARLYSTIM study has shown STN DBS to be superior to medical therapy with respect to quality of life for patients with early motor complications, this further analysis has shown its cost-effectiveness. © 2016 International Parkinson and Movement Disorder Society.

An Evaluation of the Proposed Worker Protection Standard with Respect to Pesticide Exposure and Parkinson's Disease

Citing a lack of information, the U.S. Environmental Protection Agency prudently did not account for the benefits of averting many chronic diseases in analyzing the Worker Protection Standards (WPS) revisions. We demonstrate that sufficient information can exist, using the example of the benefits to agricultural workers of reduced Parkinson's disease (PD) due to reduced pesticide exposure. We define the benefits as the monetary value gained by improving quality of lives of people who would otherwise develop PD, plus the value of medical care cost averted and income not lost due to being healthy. For estimation, we use readily available parameters and obtain odds ratios of developing PD by conducting a meta-analysis of studies linking pesticide exposure to PD. The sensitivity analysis varies the number of agricultural workers affected by the regulation, the probability of being diagnosed with PD, the measurement and the timing of the benefits. Our initial assessment is that the reduced PD benefits would be a small fraction of the total WPS revision costs. However, if we define benefits as the common environmental economics willingness to pay to avoid PD incidence, then they become a substantial fraction of the costs. Our analysis demonstrates that the benefits of averting PD from the WPS revisions can be estimated using existing information, and that the results are most sensitive to the choice of valuation of benefits to the worker. We encourage other researchers to extend our framework to other chronic ailments.

Evaluating the Cost-Effectiveness of an Early Detection of Parkinson's Disease through Innovative Technology

Early detection of Parkinson's Disease (PD) is critically important as it can increase patient quality of life and save treatment cost. An innovative approach for early detection of PD is to use non-wearable sensors that are capable of capturing skeletal joint data. This paper evaluates the cost-effectiveness of this sensor-based intervention considering the quality-adjusted life years (QALYs) and the associated costs. The results indicate that the intervention would be cost-effective if devices were deployed for community health screening in public places such as health fairs and pharmacies.

Validation and calibration of structural models that combine information from multiple sources

INTRODUCTION

Mathematical models that attempt to capture structural relationships between their components and combine information from multiple sources are increasingly used in medicine. Areas covered: We provide an overview of methods for model validation and calibration and survey studies comparing alternative approaches. Expert commentary: Model validation entails a confrontation of models with data, background knowledge, and other models, and can inform judgments about model credibility. Calibration involves selecting parameter values to improve the agreement of model outputs with data. When the goal of modeling is quantitative inference on the effects of interventions or forecasting, calibration can be viewed as estimation. This view clarifies issues related to parameter identifiability and facilitates formal model validation and the examination of consistency among different sources of information. In contrast, when the goal of modeling is the generation of qualitative insights about the modeled phenomenon, calibration is a rather informal process for selecting inputs that result in model behavior that roughly reproduces select aspects of the modeled phenomenon and cannot be equated to an estimation procedure. Current empirical research on validation and calibration methods consists primarily of methodological appraisals or case-studies of alternative techniques and cannot address the numerous complex and multifaceted methodological decisions that modelers must make. Further research is needed on different approaches for developing and validating complex models that combine evidence from multiple sources.

Unremarked or Unperformed? Systematic Review on Reporting of Validation Efforts of Health Economic Decision Models in Seasonal Influenza and Early Breast Cancer

BACKGROUND

Transparent reporting of validation efforts of health economic models give stakeholders better insight into the credibility of model outcomes. In this study we reviewed recently published studies on seasonal influenza and early breast cancer in order to gain insight into the reporting of model validation efforts in the overall health economic literature.

METHODS

A literature search was performed in Pubmed and Embase to retrieve health economic modelling studies published between 2008 and 2014. Reporting on model validation was evaluated by checking for the word validation, and by using AdViSHE (Assessment of the Validation Status of Health Economic decision models), a tool containing a structured list of relevant items for validation. Additionally, we contacted corresponding authors to ask whether more validation efforts were performed other than those reported in the manuscripts.

RESULTS

A total of 53 studies on seasonal influenza and 41 studies on early breast cancer were included in our review. The word validation was used in 16 studies (30 %) on seasonal influenza and 23 studies (56 %) on early breast cancer; however, in a minority of studies, this referred to a model validation technique. Fifty-seven percent of seasonal influenza studies and 71 % of early breast cancer studies reported one or more validation techniques. Cross-validation of study outcomes was found most often. A limited number of studies reported on model validation efforts, although good examples were identified. Author comments indicated that more validation techniques were performed than those reported in the manuscripts.

CONCLUSIONS

Although validation is deemed important by many researchers, this is not reflected in the reporting habits of health economic modelling studies. Systematic reporting of validation efforts would be desirable to further enhance decision makers' confidence in health economic models and their outcomes.

Cost analysis of awake versus asleep deep brain stimulation: a single academic health center experience

OBJECT

The objective of this study was to compare the cost of deep brain stimulation (DBS) performed awake versus asleep at a single US academic health center and to compare costs across the University HealthSystem Consortium (UHC) Clinical Database.

METHODS

Inpatient and outpatient demographic and hospital financial data for patients receiving a neurostimulator lead implant (from the first quarter of 2009 to the second quarter of 2014) were collected and analyzed. Inpatient charges included those associated with International Classification of Diseases, Ninth Revision (ICD-9) procedure code 0293 (implantation or replacement of intracranial neurostimulator lead). Outpatient charges included all preoperative charges ≤ 30 days prior to implant and all postoperative charges ≤ 30 days after implant. The cost of care based on reported charges and a cost-to-charge ratio was estimated. The UHC database was queried (January 2011 to March 2014) with the same ICD-9 code. Procedure cost data across like hospitals (27 UHC hospitals) conducting similar DBS procedures were compared.

RESULTS

Two hundred eleven DBS procedures (53 awake and 158 asleep) were performed at a single US academic health center during the study period. The average patient age ( ± SD) was 65 ± 9 years old and 39% of patients were female. The most common primary diagnosis was Parkinson’s disease (61.1%) followed by essential and other forms of tremor (36%). Overall average DBS procedure cost was $39,152 ± $5340. Asleep DBS cost $38,850 ± $4830, which was not significantly different than the awake DBS cost of $40,052 ± $6604. The standard deviation for asleep DBS was significantly lower (p ≤ 0.05). In 2013, the median cost for a neurostimulator implant lead was $34,052 at UHC-affiliated hospitals that performed at least 5 procedures a year. At Oregon Health & Science University, the median cost was $17,150 and the observed single academic health center cost for a neurostimulator lead implant was less than the expected cost (ratio 0.97).

CONCLUSIONS

In this single academic medical center cost analysis, DBS performed asleep was associated with a lower cost variation relative to the awake procedure. Furthermore, costs compared favorably to UHC-affiliated hospitals. While asleep DBS is not yet standard practice, this center exclusively performs asleep DBS at a lower cost than comparable institutions.

Cognitive rehabilitation for Parkinson’s disease dementia: a study protocol for a pilot randomised controlled trial

Background

There is growing interest in developing non-pharmacological treatments to address the cognitive deficits apparent in Parkinson’s disease dementia and dementia with Lewy bodies. Cognitive rehabilitation is a goal-oriented behavioural intervention which focuses on improving everyday functioning through management of cognitive difficulties; it has been shown to be effective in Alzheimer’s disease. To date, no studies have assessed its potential efficacy for addressing the impact of cognitive impairment in people with Parkinson’s disease or dementia with Lewy bodies.

Methods/design

Participants (n = 45) will be recruited from movement disorders, care for the elderly and memory clinics. Inclusion criteria include: a diagnosis of Parkinson’s disease, Parkinson’s disease dementia or dementia with Lewy bodies according to consensus criteria and an Addenbrooke’s Cognitive Examination – III score of ≤ 82. Exclusion criteria include: a diagnosis of any other significant neurological condition; major psychiatric disorder, including depression, which is not related to the patient’s Parkinson’s disease and unstable medication use for their physical or cognitive symptoms. A single-blind pilot randomised controlled trial, with concurrent economic evaluation, will compare the relative efficacy of cognitive rehabilitation with that of two control conditions. Following a goal-setting interview, the participants will be randomised to one of the three study arms: cognitive rehabilitation (eight weekly sessions), relaxation therapy (eight weekly sessions) or treatment as usual. Randomisation and treatment group allocation will be carried out by a clinical trials unit using a dynamic adaptive sequential randomisation algorithm. The primary outcomes are patients’ perceived goal attainment at a 2-months post-intervention assessment and a 6-months follow-up. Secondary outcomes include patients’ objective cognitive performance (on tests of memory and executive function) and satisfaction with goal attainment, carers’ perception of patients’ goal attainment and patients’ and carers’ health status and psychosocial well-being, measured at the same time points. Cost-effectiveness will be examined to explore the design of a larger cost-effectiveness analysis alongside a full trial.

Discussion

This pilot study will evaluate the application of cognitive rehabilitation for the management of cognitive difficulties associated with Parkinson’s disease dementia and dementia with Lewy bodies. The results of the study will inform the design of a fully powered randomised controlled trial.

Trial registration

ISRCTN16584442 DOI 10.1186/ISRCTN16584442 13 April 2015

Cost-Effectiveness Analysis of Deep Brain Stimulation in Patients with Parkinson's Disease in Japan

OBJECTIVE

Deep brain stimulation (DBS) is an effective surgical option for treating Parkinson's disease (PD). DBS is invasive, with a high initial cost. In Japan, questions have been raised about its cost-effectiveness and the resulting improvements in outcome. The aim of this study was to evaluate the cost-effectiveness of DBS for PD in Japan, particularly whether early or late DBS is more cost-effective.

METHODS

We used a Markov cohort simulation to follow the clinical course of DBS for PD. We conducted a survey to capture QOL scores among healthy Japanese volunteers. Transition probabilities were estimated from randomized clinical trials. We determined direct medical costs from the perspective of the Japanese health care system. Outcomes were assessed as quality-adjusted life years. We conducted univariate and probabilistic sensitivity analyses.

RESULTS

DBS costs an additional 10.3 million Japanese yen (US$85,100; exchange rate on October 28, 2015 was 121 yen to $1) for a gain of 3.2 quality-adjusted life years. The incremental cost-effectiveness ratio was 3.1 million yen ($25,600). The incremental cost-effectiveness ratio was 8.5 million yen ($70,200) for early DBS, 3.1 million yen ($25,600) for intermediate DBS, and 3.3 million yen ($27,200) for late-stage DBS.

CONCLUSIONS

Our model suggests that DBS is cost-effective in the Japanese health care system. DBS is more cost-effective if performed in the intermediate rather than early or late stages of PD.

Cost-effectiveness of continuous subcutaneous apomorphine in the treatment of Parkinson's disease in the UK and Germany

BACKGROUND

Parkinson's disease (PD) is the second most common neurodegenerative disease, affecting ∼ 5.2 million people worldwide. Continuous subcutaneous apomorphine (CSAI) represents an alternative treatment option for advanced PD with motor fluctuation. The purpose of this analysis was to estimate the cost-effectiveness of CSAI compared with Levodopa/carbidopa intestinal gel (LCIG), Deep-Brain-Stimulation (DBS) and Standard-of-care (SOC).

METHODS

A multi-country Markov-Model to simulate the long-term consequences, disease progression (Hoehn & Yahr stages 3-5, percentage of waking-time in the OFF-state), complications, and adverse events was developed. Monte-Carlo simulation accounted for uncertainty. Probabilities were derived from RCT and open-label studies. Costs were estimated from the UK and German healthcare provider's perspective. QALYs, life-years (LYs), and costs were projected over a life-time horizon.

RESULTS

UK lifetime costs associated with CSAI amounts to £78,251.49 and generates 2.85 QALYs and 6.28 LYs (€104,500.08, 2.92 QALYs and 6.49 LYs for Germany). Costs associated with LCIG are £130,011.34, achieves 3.06 QALYs and 6.93 LYs (€175,004.43, 3.18 QALYs and 7.18 LYs for Germany). The incremental-cost per QALY gained (ICER) was £244,684.69 (€272,914.58). Costs for DBS are £87,730.22, associated with 2.75 QALYs and 6.38 LYs (€105,737.08, 2.85 QALYs and 6.61 LYs for Germany). CSAI dominates DBS. SOC associated UK costs are £76,793.49; 2.62 QALYs and 5.76 LYs were reached (€90,011.91, 2.73 QALYs and 6 LYs for Germany).

CONCLUSIONS

From a health economic perspective, CSAI is a cost-effective therapy and could be seen as an alternative treatment to LCIG or DBS for patients with advanced PD.

Timing of deep brain stimulation in Parkinson disease: a need for reappraisal?

We review the current application of deep brain stimulation (DBS) in Parkinson disease (PD) and consider the evidence that earlier use of DBS confers long-term symptomatic benefit for patients compared to best medical therapy. Electronic searches were performed of PubMed, Web of Knowledge, Embase, Cochrane Database of Systematic Reviews, and Cochrane Central Register of Controlled Trials to identify all article types relating to the timing of DBS in PD. Current evidence suggests that DBS is typically performed in late stage PD, a mean of 14 to 15 years after diagnosis. Current guidelines recommend that PD patients who are resistant to medical therapies, have significant medication side effects and lengthening off periods, but are otherwise cognitively intact and medically fit for surgery be considered for DBS. If these criteria are rigidly interpreted, it may be that, by the time medical treatment options have been exhausted, the disease has progressed to the point that the patient may no longer be fit for neurosurgical intervention. From the evidence available, we conclude that surgical management of PD alone or in combination with medical therapy results in greater improvement of motor symptoms and quality of life than medical treatment alone. There is evidence to support the use of DBS in less advanced PD and that it may be appropriate for earlier stages of the disease than for which it is currently used. The improving short and long-term safety profile of DBS makes early application a realistic possibility.

Model performance evaluation (validation and calibration) in model-based studies of therapeutic interventions for cardiovascular diseases : a review and suggested reporting framework

Decision analytic models play an increasingly important role in the economic evaluation of health technologies. Given uncertainties around the assumptions used to develop such models, several guidelines have been published to identify and assess 'best practice' in the model development process, including general modelling approach (e.g., time horizon), model structure, input data and model performance evaluation. This paper focuses on model performance evaluation. In the absence of a sufficient level of detail around model performance evaluation, concerns regarding the accuracy of model outputs, and hence the credibility of such models, are frequently raised. Following presentation of its components, a review of the application and reporting of model performance evaluation is presented. Taking cardiovascular disease as an illustrative example, the review investigates the use of face validity, internal validity, external validity, and cross model validity. As a part of the performance evaluation process, model calibration is also discussed and its use in applied studies investigated. The review found that the application and reporting of model performance evaluation across 81 studies of treatment for cardiovascular disease was variable. Cross-model validation was reported in 55 % of the reviewed studies, though the level of detail provided varied considerably. We found that very few studies documented other types of validity, and only 6 % of the reviewed articles reported a calibration process. Considering the above findings, we propose a comprehensive model performance evaluation framework (checklist), informed by a review of best-practice guidelines. This framework provides a basis for more accurate and consistent documentation of model performance evaluation. This will improve the peer review process and the comparability of modelling studies. Recognising the fundamental role of decision analytic models in informing public funding decisions, the proposed framework should usefully inform guidelines for preparing submissions to reimbursement bodies.

Pharmacoeconomic considerations of treating patients with advanced Parkinson's disease

INTRODUCTION

Parkinson's disease (PD) is one of the most common neurodegenerative diseases. In the later (advanced) stages of PD, the initial treatment of early PD becomes less effective and long-term side effects of dopaminergic treatment become apparent. In advanced PD, motor and non-motor complications occur, which increase treatment costs. Increasing disability and impaired activities of daily living concomitantly raise indirect costs, due to loss in productivity. Hence, the economic burden of advanced PD is substantial for both the society and the patients with their caregivers.

AREAS COVERED

A systematic literature search was performed involving the databases NHS CRD (National Health Service Centre for Reviews and Dissemination) and PubMed until July 15, 2011. "Parkinson" [Mesh] and "cost" were used as search terms in PubMed and only "Parkinson" in the CRD database.

EXPERT OPINION

Economic evaluations are scarce and heterogeneous, and their interpretation may be limited due to methodological shortcomings. Dopamine agonists, COMT and MAO-B inhibitors as well levodopa infusion and deep brain stimulation are reported to be cost-effective in the respective decision frameworks. However, these results are heavily dependent on assumptions of drug costs and effect sizes used in the models. More detailed real-life information from long-term clinical trials is needed to feed the economic models, especially for head-to-head comparisons. To date, no economic evaluation has been undertaken for possible neuroprotective/disease modifying effects, and further research is needed for evaluations of interventions for non-motor symptoms.