Identifying Patient Access Barriers for Tumor Necrosis Factor Alpha Inhibitor Treatments in Rheumatoid Arthritis in Five Central Eastern European Countries

Importance of aligning the implementation of new payment models for innovative pharmaceuticals in European countries

INTRODUCTION

The uptake of complex technologies and platforms has resulted in several challenges in the pricing and reimbursement of innovative pharmaceuticals. To address these challenges, plenty of concepts have already been described in the scientific literature about innovative value judgment or payment models, which are either (1) remaining theoretical; or (2) applied only in pilots with limited impact on patient access; or (3) applied so heterogeneously in many different countries that it prevents the health care industry from meeting expectations of HTA bodies and health care payers in the evidence requirements or offerings in different jurisdictions.

AREAS COVERED

This paper provides perspectives on how to reduce the heterogeneity of pharmaceutical payment models across European countries in five areas, including 1) extended evaluation frameworks, 2) performance-based risk-sharing agreements, 3) pooled procurement for low volume or urgent technologies, 4) alternative access schemes, and 5) delayed payment models for technologies with high upfront costs.

EXPERT OPINION

Whilst pricing and reimbursement decisions will remain a competence of EU member states, there is a need for alignment of European pharmaceutical payment model components in critical areas with the ultimate objective of improving the equitable access of European patients to increasingly complex pharmaceutical technologies.

Serum uric acid level in chronic liver disease and its correlation with Child-Pugh score in a tertiary care hospital from South India

Background

Chronic liver disease (CLD) is one of the important causes of morbidity and mortality in our country, and since the damage to the liver is irreversible, we have to look for many severity markers or predictors for the prognosis of the patient. In this study, we have tried to correlate the level of serum uric acid (UA) with the severity of CLD presented as a Child-Pugh score.

Methods

A cross-sectional observational study was conducted at Vijayanagar Institute of Medical Science (VIMS), Ballari, Karnataka, from October 2015 to June 2017 in the Department of General Medicine. Fifty patients diagnosed with CLD, aged between 18 and 65 years, of either gender, were enrolled in the study. Serum UA levels were measured, and liver function and coagulation parameters were assessed. A statistical analysis was performed to evaluate the association between serum UA levels, liver function test, and coagulation parameters.

Results

In our study, the mean serum UA level was 6.52 mg/dl and was raised in patients with CLD in correlation to its severity. Alcoholic liver disease (ALD) was the most common etiology for CLD (80%) followed by hepatitis B (Hep B) virus infection (12%) and hepatitis C (Hep C) virus infection (6%). Serum UA levels increased as the Child-Turcotte-Pugh (CTP) score increased. The mean UA level in CTP class C was 8.29 mg/dl. Various parameters such as serum aspartate aminotransferase (AST), alanine transaminase (ALT), alkaline phosphatase, total bilirubin, international normalized ratio (INR), calcium, and albumin were significantly associated with serum UA levels in CLD patients.

Conclusion

The correlation between rising blood UA levels and the Child-Pugh score shows that UA estimate may be a valid and affordable indicator for assessing the extent of liver cirrhosis in CLD.

Impact of access to treatment on patient-reported outcomes among rheumatoid arthritis patients with tDMARDs and bDMARDS in two Latin-American countries: A prospective observational study

Background and Aims

A noninterventional prospective study was performed in Colombia and Peru. The aim was to describe the impact of access to treatment on Patient-reported outcomes (PRO) in patients with Rheumatoid arthritis (RA) after failure to conventional disease-modifying antirheumatic drugs (DMARDs) in real-life conditions.

Methods

The impact of access to treatment was measured by access barriers, time to supply (TtS) and interruption evaluating their effect in changes of PROs between baseline and 6-month follow-up between February 2017 and November 2019. The association of access to care with disease activity, functional status, health-related quality of life was assessed using bivariate and multivariable analysis. Results are expressed in least mean difference; TtS in mean number of days for delivery of treatment at baseline. Variability measures were standard deviation and standard error.

Results

One hundred seventy patients were recruited, 70 treated with tofacitinib and 100 with biological DMARDs. Thirty-nine patients reported access barriers. The mean of TtS was 23 ± 38.83 days. The difference from baseline to 6-month visit in PROs were affected by access barriers and interruptions. There was not statistically significant difference in the of PRO's score among visits in patients that reported delay of supply of more than 23 days compared to patients with less days of delay.

Conclusion

This study suggested the access to treatment can affect the response to the treatment at 6 months of follow-up. There seems to be no effect in the PROs for delay of TtS during the studied period.

Association of exogenous factors with the access to innovative pharmaceutical products in Hungary

INTRODUCTION

Access to innovative pharmaceuticals is thought to be associated with several exogenous factors related to the local legal or financial framework of pharmaceutical reimbursement. Our aim was to describe the association between the outcome of the reimbursement procedure on innovative pharmaceutical submissions in Hungary and several potential explanatory variables related to the legal or financial framework of reimbursement procedures, such as the submission implying a need for a legal act to conclude on a positive decision; having a risk-sharing agreement (RSA) in place at the time of submission; the aim of the submission and expenditure on individual funding requests.

METHODS

Publicly available administrative announcements of the Hungarian National Health Insurance Fund Manager were used to construct the analysis dataset including all concluded procedures between 1 January 2018 and 7 June 2021, complemented with information on the overall aim of the submission (new compound or new indication). Logistic regression models were used to estimate odds ratios while adjusting for potential confounding.

RESULTS

Needing a legislative change as a proxy of involving high-level decision makers to reimburse had a lower (OR = 0.05, CI95%:0.02-0.11), whereas having an RSA had a statistically significant higher chance of a positive decision (OR = 3.49, CI95%:1.56-7.82). In contrast, neither the overall purpose of the submission (OR = 1.32, CI95%:0.65-2.69), nor the average biennial expenditure on individual funding requests exceeding 200 million HUFs (OR = 1.04, CI95%:0.92-1.19) had a statistically significant association with the decision.

CONCLUSIONS

This study quantitatively demonstrated that the need for legal acts to conclude on a positive decision decreases, whereas having an RSA for the particular product increases the likelihood of a positive reimbursement decision in Hungary. The role of other factors remain unclear. Our findings suggest that the legal requirements and RSAs play key roles in the reimbursement of innovative pharmaceuticals and can be viewed as potential areas of policy interventions in expanding access to these products, although the feasibility of such interventions need strong commitment from decision-makers, as well as implying increased autonomy to the entities involved in reimbursement procedures. Further research is needed to assess the impact of endogenous and exogenous factors in a coherent framework.

Evaluating the benefits of TNF-alfa inhibitor biosimilar competition on off-patent and on-patent drug markets: A Southern European analysis

Background: The level of competition achieved following biosimilars market availability varies by country, care setting and molecule. Hence, biosimilars contribution to attaining price reductions and extended access to treatments can also vary. Objective: The aim of this study is to capture market dynamics for tumor necrosis factor (TNF)-alpha inhibitors and competing molecules in Southern European markets (2011-2020), and to evaluate the benefits of the competition generated by the availability of biosimilars. Methods: This study is based on a literature review examining market characteristics for TNF-alfa inhibitors and competing immunomodulator molecules, and on the quantitative analysis of market data for these molecules in Italy, Portugal and Spain. Results: Following biosimilars availability in Italian, Portuguese and Spanish markets, there has been an expansion in the overall access to TNF-alfa inhibitor pharmaceuticals. Further, savings have been generated within the TNF-alfa inhibitors class even after the increased use of these molecules. However, the potential of infliximab, etanercept and adalimumab biosimilars to generate price competition outside of their own drug class appeared limited in the studied markets. Considering this limitation and that shifts towards on-patent and higher-cost therapies have occurred after TNF-alfa inhibitor biosimilars availability, the importance of investing in biosimilars development for still on-patent immunology biologics is emphasized. Conclusion: This study highlights the need for policies that do not only seek higher utilization of biosimilars, but that also support a sustainable market for these products. This is expected to foster the future development of biosimilar medicines.

Outcome-based reimbursement in Central-Eastern Europe and Middle-East

Outcome-based reimbursement models can effectively reduce the financial risk to health care payers in cases when there is important uncertainty or heterogeneity regarding the clinical value of health technologies. Still, health care payers in lower income countries rely mainly on financial based agreements to manage uncertainties associated with new therapies. We performed a survey, an exploratory literature review and an iterative brainstorming in parallel about potential barriers and solutions to outcome-based agreements in Central and Eastern Europe (CEE) and in the Middle East (ME). A draft list of recommendations deriving from these steps was validated in a follow-up workshop with payer experts from these regions. 20 different barriers were identified in five groups, including transaction costs and administrative burden, measurement issues, information technology and data infrastructure, governance, and perverse policy outcomes. Though implementing outcome-based reimbursement models is challenging, especially in lower income countries, those challenges can be mitigated by conducting pilot agreements and preparing for predictable barriers. Our guidance paper provides an initial step in this process. The generalizability of our recommendations can be improved by monitoring experiences from pilot reimbursement models in CEE and ME countries and continuing the multistakeholder dialogue at national levels.

ATRPred: A machine learning based tool for clinical decision making of anti-TNF treatment in rheumatoid arthritis patients

Rheumatoid arthritis (RA) is a chronic autoimmune condition, characterised by joint pain, damage and disability, which can be addressed in a high proportion of patients by timely use of targeted biologic treatments. However, the patients, non-responsive to the treatments often suffer from refractoriness of the disease, leading to poor quality of life. Additionally, the biologic treatments are expensive. We obtained plasma samples from N = 144 participants with RA, who were about to commence anti-tumour necrosis factor (anti-TNF) therapy. These samples were sent to Olink Proteomics, Uppsala, Sweden, where proximity extension assays of 4 panels, containing 92 proteins each, were performed. A total of n = 89 samples of patients passed the quality control of anti-TNF treatment response data. The preliminary analysis of plasma protein expression values suggested that the RA population could be divided into two distinct molecular sub-groups (endotypes). However, these broad groups did not predict response to anti-TNF treatment, but were significantly different in terms of gender and their disease activity. We then labelled these patients as responders (n = 60) and non-responders (n = 29) based on the change in disease activity score (DAS) after 6 months of anti-TNF treatment and applied machine learning (ML) with a rigorous 5-fold nested cross-validation scheme to filter 17 proteins that were significantly associated with the treatment response. We have developed a ML based classifier ATRPred (anti-TNF treatment response predictor), which can predict anti-TNF treatment response in RA patients with 81% accuracy, 75% sensitivity and 86% specificity. ATRPred may aid clinicians to direct anti-TNF therapy to patients most likely to receive benefit, thus save cost as well as prevent non-responsive patients from refractory consequences. ATRPred is implemented in R.

Should Hungary Pay More for a QALY Gain than Higher-Income Western European Countries?

OBJECTIVES

Cost-effectiveness thresholds (CETs) play a particularly important role in the reimbursement decisions of health technologies in countries with limited healthcare resources. Our goal is to develop a scientifically solid proposal for a revised cost-effectiveness threshold, as part of the planned review of the Hungarian health economic guidance.

METHODS

The Threshold Working Group of the Hungarian Health Economics Association performed a targeted review on CETs in European countries. International trends on CETs served as a basis for our recommendation, which was discussed at the Association's workshop and deliberated at an expert committee meeting with representatives from the national health technology assessment (HTA) and healthcare payer bodies, and academic HTA centres.

RESULTS

The current Hungarian CET is one of the highest among European countries relative to GDP per capita, and even higher in nominal value than the CET applied by NICE. As opposed to the current, single Hungarian threshold, other European countries apply multiple thresholds. The Working Group recommends that Hungary should also apply multiple CETs in the range of 1.5-3 times GDP per capita with stratification according to the relative quality-adjusted life-year (QALY) gain of the new technology. In addition, multiple CETs in the range of 3-10 times GDP per capita is recommended for technologies in rare diseases.

CONCLUSIONS

CETs should be aligned with the country's economic performance and should reflect societal preferences. Our recommendation may increase the efficiency of healthcare resource allocation in Hungary by strengthening the role of HTA in the reimbursement decisions and favouring new technologies with higher QALY gain.

Assessing the Consequences of External Reference Pricing for Global Access to Medicines and Innovation: Economic Analysis and Policy Implications

Background: External reference pricing (ERP) is used to set pharmaceutical prices to improve affordability, but its application may have negative consequences on patient access—thus, equity—across countries and on global innovation. With the United States contemplating ERP, negative effects could be magnified. Our aim: identify and quantify some major consequences of ERP. Research design, methods: Besides relying on databases and ERP modelling, we developed a heart failure case study. 4-step approach: 1) review ERP policies; 2) establish worldwide “price corridor”; 3) quantify patient access and health outcomes impact by ERP; 4) estimate ERP impact on innovation.

Results: Our ERP referencing analysis highlights its perverse effects especially in lower-income countries. As counterstrategies to protect their revenues, manufacturers often implement tight list price corridors or launch avoidance/delays. Consequences include suboptimal patient access—hence, worse outcomes—illustrated by our case study: 500,000 + QALYs health loss. Additionally, the ensuing revenue reduction would likely cause innovation loss by one additional medicine that would have benefitted future patients.

Conclusion: This research provides key insights on potential unintentional consequences of medicine price setting by ERP worldwide and under a new proposal for the United States. Our results can inform stakeholder discussions to improve patient access to innovative medicines globally.