Medication adherence and costs of medical care among patients with Parkinson's disease: an observational study using electronic medical records.

BACKGROUND: Adherence to antiparkinsonian drugs (APDs) is critical for patients with Parkinson's disease (PD), for which medication is the main therapeutic strategy. Previous studies have focused on specific disorders in a single system when assessing clinical factors affecting adherence to PD treatment, and no international comparative data are available on the medical costs for Chinese patients with PD. The present study aimed to evaluate medication adherence and its associated factors among Chinese patients with PD using a systematic approach and to explore the impact of adequate medication adherence on direct medical costs. METHODS: A retrospective analysis was conducted using the electronic medical records of patients with PD from a medical center in China. Patients with a minimum of two APD prescriptions from January 1, 2016 to August 15, 2018 were included. Medication possession ratio (MPR) and proportion of days covered were used to measure APD adherence. Multiple linear regression analysis was used to identify factors affecting APD adherence. Gamma regression analysis was used to explore the impact of APD adherence on direct medical costs. RESULTS: In total, 1,712 patients were included in the study, and the mean MPR was 0.68 (± 0.25). Increased number of APDs and all medications, and higher daily levodopa-equivalent doses resulted in higher MPR (mean difference [MD] = 0.04 [0.03-0.05]; MD = 0.02 [0.01-0.03]; MD = 0.03 [0.01-0.04], respectively); combined digestive system diseases, epilepsy, or older age resulted in lower MPR (MD = -0.06 [-0.09 to -0.03]; MD = -0.07 [-0.14 to -0.01]; MD = -0.02 [-0.03 to -0.01], respectively). Higher APD adherence resulted in higher direct medical costs, including APD and other outpatient costs. For a 0.3 increase in MPR, the two costs increased by $34.42 ($25.43-$43.41) and $14.63 ($4.86-$24.39) per year, respectively. CONCLUSIONS: APD adherence rate among Chinese patients with PD was moderate and related primarily to age, comorbidities, and healthcare costs. The factors should be considered when prescribing APDs.

Lifetime effects and cost-effectiveness of standard and higher-intensity statin therapy across population categories in the UK: a microsimulation modelling study.

Background: Cardiovascular disease incidence and mortality have declined across developed economies and granular up-to-date cost-effectiveness evidence is required for treatments targeting large populations. To assess the health benefits and cost-effectiveness of standard and higher intensity statin therapy in the contemporary UK population 40-70 years old. Methods: A cardiovascular disease microsimulation model, developed using the Cholesterol Treatment Trialists' Collaboration data (117,896 participants; 5 years follow-up), and calibrated in the UK Biobank cohort (501,854 participants; 9 years follow-up), projected risks of myocardial infarction, stroke, coronary revascularization, diabetes, cancer and vascular and nonvascular death for all UK Biobank participants without and with statin treatment. Meta-analyses of trials and cohort studies informed statins' relative effects on cardiovascular events, incident diabetes, myopathy and rhabdomyolysis. UK healthcare perspective was taken (2020/2021 UK£) with costs per 28 tablets of £1.10 for standard (35%-45% LDL cholesterol (LDL-C) reduction) and £1.68 for higher intensity (≥45% LDL-C reduction) generic statin. Findings: Across categories by sex, age, LDL-C, and cardiovascular disease history/10-year cardiovascular risk, lifetime standard statin increased survival by 0.28-1.85 years (0.20-1.09 quality-adjusted life years (QALYs)), and higher intensity statin by further 0.06-0.40 years (0.03-0.20 QALYs) per person. Standard statin was cost-effective across all categories with incremental cost per QALY from £280 to £8530, with higher intensity statin cost-effective at higher cardiovascular risks and higher LDL-C levels. Stopping statin early reduced benefits and was not cost-effective. Interpretation: Lifetime low-cost statin therapy is cost-effective across all 40-70 years old in UK. Strengthening and widening statin treatment could cost-effectively improve population health. Funding: UK NIHR Health Technology Assessment Programme (17/140/02).

Long-term cardiovascular risks and the impact of statin treatment on socioeconomic inequalities: a microsimulation model.

BACKGROUND: UK cardiovascular disease (CVD) incidence and mortality have declined in recent decades but socioeconomic inequalities persist. AIM: To present a new CVD model, and project health outcomes and the impact of guideline-recommended statin treatment across quintiles of socioeconomic deprivation in the UK. DESIGN AND SETTING: A lifetime microsimulation model was developed using 117 896 participants in 16 statin trials, 501 854 UK Biobank (UKB) participants, and quality-of-life data from national health surveys. METHOD: A CVD microsimulation model was developed using risk equations for myocardial infarction, stroke, coronary revascularisation, cancer, and vascular and non-vascular death, estimated using trial data. The authors calibrated and further developed this model in the UKB cohort, including further characteristics and a diabetes risk equation, and validated the model in UKB and Whitehall II cohorts. The model was used to predict CVD incidence, life expectancy, quality-adjusted life years (QALYs), and the impact of UK guideline-recommended statin treatment across socioeconomic deprivation quintiles. RESULTS: Age, sex, socioeconomic deprivation, smoking, hypertension, diabetes, and cardiovascular events were key CVD risk determinants. Model-predicted event rates corresponded well to observed rates across participant categories. The model projected strong gradients in remaining life expectancy, with 4-5-year (5-8 QALYs) gaps between the least and most socioeconomically deprived quintiles. Guideline-recommended statin treatment was projected to increase QALYs, with larger gains in quintiles of higher deprivation. CONCLUSION: The study demonstrated the potential of guideline-recommended statin treatment to reduce socioeconomic inequalities. This CVD model is a novel resource for individualised long-term projections of health outcomes of CVD treatments.

Estimating Costs Associated with Disease Model States Using Generalized Linear Models: A Tutorial.

Estimates of costs associated with disease states are required to inform decision analytic disease models to evaluate interventions that modify disease trajectory. Increasingly, decision analytic models are developed using patient-level data with a focus on heterogeneity between patients, and there is a demand for costs informing such models to reflect individual patient costs. Statistical models of health care costs need to recognize the specific features of costs data which typically include a large number of zero observations for non-users, and a skewed and heavy right-hand tailed distribution due to a small number of heavy healthcare users. Different methods are available for modelling costs, such as generalized linear models (GLMs), extended estimating equations and latent class approaches. While there are tutorials addressing approaches to decision modelling, there is no practical guidance on the cost estimation to inform such models. Therefore, this tutorial aims to provide a general guidance on estimating healthcare costs associated with disease states in decision analytic models. Specifically, we present a step-by-step guide to how individual participant data can be used to estimate costs over discrete periods for participants with particular characteristics, based on the GLM framework. We focus on the practical aspects of cost modelling from the conceptualization of the research question to the derivation of costs for an individual in particular disease states. We provide a practical example with step-by-step R code illustrating the process of modelling the hospital costs associated with disease states for a cardiovascular disease model.

Cost-effectiveness of endovascular thrombectomy with alteplase versus endovascular thrombectomy alone for acute ischemic stroke secondary to large vessel occlusion.

BACKGROUND: Recent randomized trials have suggested that endovascular thrombectomy (EVT) alone may provide similar functional outcomes as the current standard of care, EVT combined with intravenous alteplase treatment, for acute ischemic stroke secondary to large vessel occlusion. We conducted an economic evaluation of these 2 therapeutic options. METHODS: We constructed a decision analytic model with a hypothetical cohort of 1000 patients to assess the cost-effectiveness of EVT with intravenous alteplase treatment versus EVT alone for acute ischemic stroke secondary to large vessel occlusion from both the societal and public health care payer perspectives. We used studies and data published in 2009-2021 for model inputs, and acquired cost data for Canada and China, representing high- and middle-income countries, respectively. We calculated incremental cost-effectiveness ratios (ICERs) using a lifetime horizon and accounted for uncertainty using 1-way and probabilistic sensitivity analyses. All costs are reported in 2021 Canadian dollars. RESULTS: In Canada, the difference in quality-adjusted life-years (QALYs) gained between EVT with alteplase and EVT alone was 0.10 from both the societal and health care payer perspectives. The difference in cost was $2847 from a societal perspective and $2767 from the payer perspective. In China, the difference in QALYs gained was 0.07 from both perspectives, and the difference in cost was $1550 from the societal perspective and $1607 from the payer perspective. One-way sensitivity analyses showed that the distributions of modified Rankin Scale scores at 90 days after stroke were the most influential factor on ICERs. For Canada, compared to EVT alone, the probability that EVT with alteplase would be cost-effective at a willingness-to-pay threshold of $50 000 per QALY gained was 58.7% from a societal perspective and 58.4% from a payer perspective. The corresponding values for at a willingness-to-pay threshold of $47 185 (3 times the Chinese gross domestic product per capita in 2021) were 65.2% and 67.4%. INTERPRETATION: For patients with acute ischemic stroke due to large vessel occlusion eligible for immediate treatment with both EVT alone and EVT with intravenous alteplase treatment, it is uncertain whether EVT with alteplase is cost-effective compared to EVT alone in Canada and China.

Prediction Models for Individual-Level Healthcare Costs Associated with Cardiovascular Events in the UK.

OBJECTIVES: The aim of this study was to develop prediction models for the individual-level impacts of cardiovascular events on UK healthcare costs. METHODS: In the UK Biobank, people 40-70 years old, recruited in 2006-2010, were followed in linked primary (N = 192,983 individuals) and hospital care (N = 501,807 individuals) datasets. Regression models of annual primary and annual hospital care costs (2020 UK£) associated with individual characteristics and experiences of myocardial infarction (MI), stroke, coronary revascularization, incident diabetes mellitus and cancer, and vascular and nonvascular death are reported. RESULTS: For both people without and with previous cardiovascular disease (CVD), primary care costs were modelled using one-part generalised linear models (GLMs) with identity link and Poisson distribution, and hospital costs with two-part models (part 1: logistic regression models the probability of incurring costs; part 2: GLM with identity link and Poisson distribution models the costs conditional on incurring any). In people without previous CVD, mean annual primary and hospital care costs were £360 and £514, respectively. The excess primary care costs were £190 and £360 following MI and stroke, respectively, whereas excess hospital costs decreased from £4340 and £5590, respectively, in the year of these events, to £190 and £410 two years later. People with previous CVD had more than twice higher annual costs, and incurred higher excess costs for cardiovascular events. Other characteristics associated with higher costs included older age, female sex, south Asian ethnicity, higher socioeconomic deprivation, smoking, lower level of physical activities, unhealthy body mass index, and comorbidities. CONCLUSIONS: These individual-level healthcare cost prediction models could inform assessments of the value of health technologies and policies to reduce cardiovascular and other disease risks and healthcare costs. An accompanying Excel calculator is available to facilitate the use of the models.

Incorporating future unrelated medical costs in cost-effectiveness analysis in China.

The occurrence of future unrelated medical costs is a direct consequence of life-prolonging interventions, but most pharmacoeconomic guidelines recommend the exclusion of these costs. The Chinese guidelines were updated in 2020, taking an exclusion approach for the future unrelated medical cost. We notice the research surrounding this issue continues in other countries and leads to an inclusion recommendation in some guidelines. Meanwhile, this issue has not been discussed in China, reflecting an urgent need for extensive research on its impact. We reviewed the theoretical and practical studies surrounding the inclusion of future unrelated medical costs, summarised the landscape of guidelines in other jurisdictions. We found that the inclusion would increase the internal and external consistency of economic evaluation and the comparability of results between different jurisdictions. However, more research is needed surrounding this issue. We proposed a future research agenda to inform the update of Chinese guidelines. We recommend research on individual-level healthcare reimbursement data and end-of-life costs from hospital administrative data to generate the age-specific, sex-specific and condition-specific costs. We also recommend establishing a formal process to evaluate the ethical and economic impact of including future unrelated medical costs and adjust the threshold accordingly in the guidelines.

Which Criteria are Considered and How are They Evaluated in Health Technology Assessments? A Review of Methodological Guidelines Used in Western and Asian Countries.

OBJECTIVES: This study aimed to provide an exhaustive description of criteria and methodological recommendations for evaluating them in health technology assessment (HTA) in Western and Asian countries. METHODS: We conducted a system literature review of HTA-related guidelines by searching the websites of HTA agencies and related data sources. The guidelines, reports, or recommendations introducing the HTA evaluation methods, processes, decision-making frameworks, and criteria for priority setting were eligible to be included. The review was limited to guidelines from countries belonging to the European Network for Health Technology Assessment (EUnetHTA) and HTAsiaLink organisations and other countries with well-established available guidelines. RESULTS: A total of 52 guidelines from 24 countries were identified, including 13 countries from the EUnetHTA organisation, 9 countries from the HTAsiaLink organisation and 2 other countries (Canada and the USA). A strong consensus was observed among the HTA agencies on the core set of criteria including efficacy or effectiveness, cost-effectiveness, safety, and budget impact. More similarities were observed than differences in methodological recommendations for clinical and economic evaluations among the agencies. CONCLUSIONS: Substantial convergence is seen in the criteria included in the HTA process, as well as the methods to evaluate and quantify them. Further efforts are needed to verify whether the criteria identified from the guidelines are incorporated in real HTA decisions, and how they are assessed and weighted in practice.

Economic burden for Alzheimer's disease in China from 2010 to 2050: a modelling study.

Objectives: We aimed to conduct a modelling study to estimate and predict the economic burden of AD to support the healthcare management of AD in China. Methods: The economic burden of AD was estimated with an evaluation of the prevalence of AD patients and a simulation of annual resource use and cost per AD patient in China using a published model. Percentage of AD patients being treated was assumed to be 5% from 2010 to 2050, with three scenarios testing the value of this parameter of 10%, 20% and 40% throughout 2020 to 2050. Results: The costs of AD were estimated to be from around 91 billion RMB in 2010 to 332 billion in 2050. Most of the current burden was related to private caregivers paid by families. With the percentage of patients being treated changing from 5% to 40%, costs were estimated to double. This was related to more hospitalisations and more use of care facilities, while the burden for families would decrease. Conclusion: A high economic burden related to AD is predicted. The burden would be driven mainly by indirect costs related to the social support of the patients. Investment in improving awareness and care of AD patients is needed and worth it.

Systematic review of utility values used in the pharmacoeconomic evaluations for schizophrenia: implications on cost-effectiveness results.

Background and Objectives: Utility elicitation studies for schizophrenia generate different utility values for the same health states. We reviewed utility values used in schizophrenia pharmacoeconomic evaluations and evaluated the impact of their selection on the incremental cost-effectiveness ratio (ICER). Methods: A systematic search was performed in Medline and Embase. Health state definitions, associated utility values, elicitation studies, and value selection processes were extracted. Sets of utility values for all schizophrenia health states were used in a cost-effectiveness model to evaluate the ICER. Results: Thirty-five cost-utility analyses (CUAs) referring to 11 utility elicitation studies were included. The most frequent health states were 'stable' (28 CUAs, 7 utility elicitation studies, 10 values, value range 0.650-0.919), 'relapse requiring hospitalisation' (18, 5, 7, 0.270-0.604), 'relapse not requiring hospitalisation' (18, 5, 10, 0.460-0.762), and 'relapse only' (10, 5, 6, 0.498-0.700). Seventeen sets of utility values were identified with difference in utility values between relapse and stable ranging from -0.358 to -0.050, resulting in ICERs ranging from -56.2% to +222.6% from average. Conclusion: The use of utility values for schizophrenia health states differs among CUAs and impacts on the ICER. More rigorous and transparent use of utility values and sensitivity analysis with different sets of utility values are suggested for future CUAs.

Oncology from an HTA and Health Economic Perspective.

In this chapter, we will present and discuss the challenges of assessing oncology products from a health economic perspective. We will provide a brief introduction on the need for economic evaluation in health care and focus on cost-effectiveness and comparative aspects of the evaluation of oncology products, which are of paramount interest to HTA decision-making bodies using economic evaluation in their decision-making framework. As the burden of oncology is well-documented, we do not discuss it in detail here. Before we address the specific issue of oncology, we will briefly define the critical aspects of HTA assessment and also define what a cost-effectiveness analysis is and why economic modelling is the most appropriate tool to assess the cost-effectiveness of oncology products. We will touch upon the prices of oncology drugs and the questions that high prices raise regarding funding and availability. We then present an overview of the general structure of an oncology cost-effectiveness model. Usually, this is quite simple, representing response, progression, advanced-stage disease and death. Despite the relative simplicity of these models, some issues may render the evaluation more complex; we will touch upon these in this chapter: Issue with clinical inputs due to the design of randomised clinical trials (e.g. cross-over designs involving a treatment switch) Need for survival extrapolation and limitations of current parametric models Rare conditions with limited economic and comparative evidence available High pace of clinical development Finally, we will conclude with a discussion of the uncertainty around the evaluation of oncology products and the major evolution expected in health economics in oncology.

Systematic review of pharmacoeconomic models for schizophrenia.

Background: Economic models are broadly used in the economic evaluation of antipsychotics in schizophrenia. Our objective was to summarize the structure of these models. Methods: Model-based economic evaluations of antipsychotics in schizophrenia were identified through Medline and Embase. General information was extracted including analysis type, model type, perspective, population, comparator, outcome, and timeframe. Model-specific structures for decision tree (DT), cohort- and patient-level Markov model (CLMM, PLMM), and discrete-event simulation (DES) models were extracted. Results: A screen of 1870 records identified 79 studies. These were mostly cost-utility analyses (n = 48) with CLMM (n = 32) or DT models (n = 29). They mostly applied payer perspective (n = 68), focused on general schizophrenia for relapse prevention (n = 73), compared pharmacotherapies as first-line (n = 71), and evaluated incremental cost per quality-adjusted life year (QALY) gained (n = 40) with a 1-year (n = 32) or 5-year (n = 26) projection. DT models progressed with the branching points of response, relapse, discontinuation, and adherence. CLMM models transitioned between disease states, whereas PLMM models transitioned between adverse event states with/without disease state. DES models moved forward with times to remission, relapse, psychiatrist visit, and death. Conclusions: A pattern of pharmacoeconomic models for schizophrenia was identified. More subtle structures and patient-level models are suggested for a future modelling exercise.