scholarly journals A dynamic Markov model to assess the cost-effectiveness of the Kidney Team at Home intervention in The Netherlands

Author(s):  
Steef Redeker ◽  
Sohal Ismail ◽  
Hester V. Eeren ◽  
Emma K. Massey ◽  
Willem Weimar ◽  
...  

Abstract Objectives The Kidney Team at Home program is an educational intervention aimed at patients with chronic kidney disease to assist them in their choice for kidney replacement therapy. Previous studies have shown that the intervention results in an increase in knowledge and communication on kidney replacement therapy, and eventually in an increase in the number of living donor kidney transplantations. The study assesses the cost-effectiveness of the intervention compared to standard care. Methods A dynamic probabilistic Markov model was used to estimate the monetary and health benefits of the intervention in The Netherlands over 10 years. Data on costs and health-related quality of life were derived from the literature. Transition probabilities, prevalence, and incidence rates were calculated using a large national database. An optimistic and a pessimistic implementation scenario were compared to a base case scenario with standard care. Results In both the optimistic and pessimistic scenario, the intervention is cost-effective and dominant compared to standard care: savings were €108,681,985 and €51,770,060 and the benefits were 1382 and 695 QALYs, respectively. Conclusions The superior cost-effectiveness of the intervention is caused by the superior health effects and the reduction of costs associated with transplantation, and the relatively small incremental costs of the intervention. The favorable findings of this implementation project resulted in national uptake of the intervention in The Netherlands as of 2021. This is the first time a psychosocial intervention has been implemented as part of standard care in a kidney replacement therapy program worldwide.

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 1164-1164 ◽  
Author(s):  
Martin Krejczy ◽  
Job Harenberg ◽  
Svetlana Marx ◽  
Konrad Obermann ◽  
Martin Wehling

Abstract Abstract 1164 The three new oral anticoagulants (NOAC) dabigatran 110mg bid and 150mg bid, investigated in the RE-LY trial, rivaroxaban 20mg od of the ROCKET trial, and apixaban 5mg bid of the ARISTOTLE trial showed equivalent or superior efficacy and safety compared to warfarin in these patients. We performed a cost-effectiveness analysis for these NOACs in Germany and compared the quality of life (QALY), incremental cost effectiveness ratios (ICER), and total costs across those countries form where these data are published. The base case population was a hypothetical cohort of patients 65 years or older with AF who were at increased risk for stroke (CHADS2-score >1) and had no contraindications to anticoagulation. The time horizon was based on the life expectancy of the German population. The QALYs, health insurance costs, and ICER for the NOACs compared with warfarin were calculated for each study. The sensitivity analysis was performed for different base case prices. The Markov decision model was adopted using the TreeAge Pro 2011 program. The data of the outcomes of ischemic stroke and cerebral embolism, major and intracerebral haemorrhage, myocardial infarction, and mortality were taken from the 3 studies comparing the NOAC with INR-adjusted warfarin. Prices for clinical events and for outpatient care were taken from the institute for payment regulations in German hospitals (InEK). The base-case analysis of a 65 years old person with a >2 CHADS2 score using the data from the RE-LY study resulted in 11.41 QALYs for warfarin, 11.53 QALYs for dabigatran 110mg bid, 11.66 QALYs for dabigatran 150 mg bid. ICERs per QALY were 49640€ for dabigatran 110 mg bid and 49590€ for dabigatran 150 mg bid versus warfarin. The same base-case analysis using the data from the ROCKET AF study resulted in 10.79 QALYs for warfarin versus 11.05 QALYs for rivaroxaban. ICERs per QALY were 48980€ for rivaroxaban versus warfarin. The base-case analysis using the data from the ARISTOTLE study resulted and 11.04 QALYs for warfarin versus 11.38 QALYs for apixaban. ICERs per QALY were 49720€ for apixaban versus warfarin. According the Markov Model the daily value based daily prices were 1.25€ for dabigatran 110 mg bid, 2.50€ for dabigatran 150 mg bid, 2.60€ for rivaroxaban, and 3.10€ for apixaban in Germany. The model was highly sensitive to the daily costs for the NOACs but relatively insensitive to other model inputs. Calculating the range of NOAC prices from 0.2 to 10 Euro versus the ICERs dabigatran 110 mg bid produced the highest increase of ICERs over this range of daily costs (Tukey-Kramer test, p<0.05) Comparing these data across countries using the published data shows that the willingness to pay per QALY as well as differences in treatment costs between substantially influences the daily prices of the NOACs. The data demonstrate the necessity to analyse the cost-effectiveness separately for every study due to differences in the INR-adjusted warfarin treated control group. The better the outcome during treatment with warfarin the lower is the benefit of the NOAC. The tendency of the cost-effectiveness calculated by the Markov model is comparable across countries. Disclosures: No relevant conflicts of interest to declare.


2021 ◽  
Vol 12 ◽  
Author(s):  
Ke-Xin Sun ◽  
Bin Cui ◽  
Shan-Shan Cao ◽  
Qi-Xiang Huang ◽  
Ru-Yi Xia ◽  
...  

Background: The drug therapy of venous thromboembolism (VTE) presents a significant economic burden to the health-care system in low- and middle-income countries. To understand which anticoagulation therapy is most cost-effective for clinical decision-making , the cost-effectiveness of apixaban (API) versus rivaroxaban (RIV), dabigatran (DAB), and low molecular weight heparin (LMWH), followed by vitamin K antagonist (VKA), in the treatment of VTE in China was assessed.Methods: To access the quality-adjusted life-years (QALYs) and incremental cost-effectiveness ratios (ICERs), a long-term cost-effectiveness analysis was constructed using a Markov model with 5 health states. The Markov model was developed using patient data collected from the Xijing Hospital from January 1, 2016 to January 1, 2021. The time horizon was set at 30 years, and a 6-month cycle length was used in the model. Costs and ICERs were reported in 2020 U.S. dollars. One-way sensitivity analysis and probabilistic sensitivity analysis (PSA) were used to test the uncertainties. A Chinese health-care system perspective was used.Results: In the base case, the data of 231 VTE patients were calculated in the base case analysis retrospectively. The RIV group resulted in a mean VTE attributable to 95% effective treatment. API, DAB, and VKA have a negative ICER (−187017.543, −284,674.922, and −9,283.339, respectively) and were absolutely dominated. The Markov model results confirmed this observation. The ICER of the API and RIV was negative (−216176.977), which belongs to the absolute inferiority scheme, and the ICER value of the DAB and VKA versus RIV was positive (110,577.872 and 836,846.343). Since the ICER of DAB and VKA exceeds the threshold, RIV therapy was likely to be the best choice for the treatment of VTE within the acceptable threshold range. The results of the sensitivity analysis revealed that the model output varied mostly with the cost in the DAB on-treatment therapy. In a probabilistic sensitivity analysis of 1,000 patients for 30 years, RIV has 100% probability of being cost-effective compared with other regimens when the WTP is $10973 per QALY. When WTP exceeded $148,000, DAB was more cost-effective than RIV.Conclusions: Compared with LMWH + VKA and API, the results proved that RIV may be the most cost-effective treatment for VTE patients in China. Our findings could be helpful for physicians in clinical decision-making to select the appropriate treatment option for VTE.


2021 ◽  
Author(s):  
Fernando Albuquerque de Almeida ◽  
Isaac Corro Ramos ◽  
Maiwenn Al ◽  
Maureen Rutten-van Mölken

BACKGROUND Heart failure (HF) is a major health concern associated with significant morbidity, mortality, and reduced quality of life for patients. Home telemonitoring (HTM) facilitates frequent or continuous assessment of disease signs and symptoms, while it has been shown to improve compliance by involving patients in their own care and to prevent emergency admissions by facilitating early detection of clinically significant changes. Diagnostic algorithms (DAs) are predictive mathematical relationships that make use of a wide range of collected data for calculating the likelihood of a particular event happening and utilise this output for prioritising patients with regards to their treatment. OBJECTIVE Assessing the cost-effectiveness of HTM and a DA in the management of heart failure in the Netherlands. Three interventions were analysed: usual care (UC), HTM, and HTM+DA. METHODS A previously published discrete event simulation model was used. The base-case analysis was performed according to the Dutch guidelines for economic evaluation. Sensitivity, scenario, and value of information analyses were performed. Particular attention was given to the cost-effectiveness of the DA at various levels of diagnostic accuracy of event prediction and to different patient subgroups. RESULTS HTM+DA extendedly dominates HTM and it has a deterministic incremental cost-effectiveness ratio versus UC of €27,712 per quality-adjusted life year (QALY). The model showed robustness in the sensitivity and scenario analyses. HTM+DA had a 96.0% probability of being cost-effective at a €80,000/QALY threshold. An optimal point for the threshold value for the alarm of the DA in terms of its cost-effectiveness was estimated. NYHA class IV patients were the subgroup with the worst cost-effectiveness results versus UC, while HTM+DA was found to be the most cost-effective for patients <65 years-old and for patients in NYHA class I. CONCLUSIONS Although increased costs of adopting HTM and DA in the management of HF may seemingly be an additional strain on scarce health care resources, the results of this study demonstrate that, by increasing patient life expectancy by 1.28 years and reducing their hospitalisation rate by 23% when compared to UC, the use of these technologies may be seen as an investment, as HTM+DA extendedly dominates HTM and is cost-effective versus UC at normally accepted thresholds in the Netherlands.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mireia Massot Mesquida ◽  
Frans Folkvord ◽  
Gemma Seda ◽  
Francisco Lupiáñez-Villanueva ◽  
Pere Torán Monserrat

Abstract Background Growing evidence shows the effects of psychotropic drugs on the evolution of dementia. Until now, only a few studies have evaluated the cost-effectiveness of psychotropic drugs in institutionalized dementia patients. This study aims to assess the cost-utility of intervention performed in the metropolitan area of Barcelona (Spain) (MN) based on consensus between specialized caregivers involved in the management of dementia patients for optimizing and potentially reducing the prescription of inappropriate psychotropic drugs in this population. This analysis was conducted using the Monitoring and Assessment Framework for the European Innovation Partnership on Active and Healthy Ageing (MAFEIP) tool. Methods The MAFEIP tool builds up from a variety of surrogate endpoints commonly used across different studies in order to estimate health and economic outcomes in terms of incremental changes in quality adjusted life years (QALYs), as well as health and social care utilization. Cost estimates are based on scientific literature and expert opinion; they are direct costs and include medical visits, hospital care, medical tests and exams and drugs administered, among other concepts. The healthcare costs of patients using the intervention were calculated by means of a medication review that compared patients’ drug-related costs before, during and after the use of the intervention conducted in MN between 2012 and 2014. The cost-utility analysis was performed from the perspective of a health care system with a time horizon of 12 months. Results The tool calculated the incremental cost-effectiveness ratio (ICER) of the intervention, revealing it to be dominant, or rather, better (more effective) and cheaper than the current (standard) care. The ICER of the intervention was in the lower right quadrant, making it an intervention that is always accepted even with the lowest given Willingness to Pay (WTP) threshold value (€15,000). Conclusions The results of this study show that the intervention was dominant, or rather, better (more effective) and cheaper than the current (standard) care. This dominant intervention is therefore recommended to interested investors for systematic application.


Author(s):  
Ali Mohammad Mokhtari ◽  
Mohsen Barouni ◽  
Mohsen Moghadami ◽  
Jafar Hassanzadeh ◽  
Rebecca Susan Dewey ◽  
...  

2017 ◽  
Vol 20 (11) ◽  
pp. 1207-1215 ◽  
Author(s):  
Julia Lowin ◽  
Kavita Sail ◽  
Rakhi Baj ◽  
Yash J. Jalundhwala ◽  
Thomas S. Marshall ◽  
...  

2008 ◽  
Vol 14 (5) ◽  
pp. 679-690 ◽  
Author(s):  
G Kobelt ◽  
J Berg ◽  
P Lindgren ◽  
B Jonsson ◽  
L Stawiarz ◽  
...  

Objective To estimate the cost-effectiveness of a new treatment (natalizumab) for multiple sclerosis (MS) compared with current standard therapy with disease-modifying drugs (DMDs) in Sweden. Methods A Markov model was constructed to illustrate disease progression based on functional disability (the Expanded Disability Status Scale (EDSS)). The effectiveness of natalizumab was based on a 2-year clinical trial in 942 patients (AFFIRM). The effectiveness of current DMDs was estimated from a matched sample of 512 patients in the Stockholm MS registry. Patients withdrawing from treatment were assumed to follow the disease course of 824 patients with relapsing–remitting disease at onset in the Ontario natural history cohort. Costs and utilities are based on a recent observational study in 1339 patients. All data sets were available at the patient level. Main results are presented from the societal perspective, over a 20-year time frame, in 2005 Euros (€1 = 9.25 SEK). Results In the base case, treatment with natalizumab was less expensive and more effective than treatment with current DMDs. When only healthcare costs were considered, the cost per quality-adjusted life year gained with natalizumab was €38 145. Results are sensitive only to the time horizon of the analysis and assumptions about effectiveness of natalizumab beyond the trial. Conclusions This cost-effectiveness analysis used registry data, cohort and observational studies to extrapolate the efficacy findings of natalizumab from the AFFIRM clinical trial to measure effectiveness in clinical practice. The analysis results suggest that for the population considered, natalizumab provides an additional health benefit at a similar cost to current DMDs from a societal perspective.


2004 ◽  
Vol 7 (6) ◽  
pp. 688-689
Author(s):  
S Chaplin ◽  
P Scuffham ◽  
M Aion ◽  
G Boom van den

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