Beyond cost-effectiveness: A five-step framework for appraising the value of health technologies in Asia-Pacific

Budget impact analysis of breast cancer medications: a systematic review

BACKGROUND

Breast cancer (BC) is the most common cancer globally among women, with 2,261,419 new cases in 2020; systemic treatment may be neo-adjuvant, adjuvant, or both. BC subtype guides the standard systemic therapy administered, which consists of endocrine therapy for all HR + tumors, trastuzumab-based HER2-directed antibody therapy plus chemotherapy for all HER2 + tumors (with endocrine therapy given in addition, if concurrent HR positivity), and chemotherapy alone for the triple-negative subtype. This study aimed to identify, evaluate, and systematically review all budget impact analyses (BIAs) of BC medications worldwide.

METHODS

PubMed, Scopus, and Web of Science Core Collection databases were thoroughly searched up to 26th March 2022 to identify original published studies which evaluate BIA of BC medications. ISPOR Task Force guidelines were used to assess the quality of included studies. This study was conducted and reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

RESULTS

In total, 17 BIAs were included in the study. About half of the studies were conducted in Europe. The results of the BIAs showed that most of the included BIAs are conducted from the payer's perspective; they have different methodological frameworks for recommended chemotherapy, targeted therapy, and immunotherapy agents to treat BC. For the same medications, the results of budgetary effects are not consistent in diverse countries. Nine out of the 17 studies were focused on trastuzumab, in which the biosimilar form reduced costs, but the brand form increased costs, especially in a 52-week treatment period.

CONCLUSION

Researchers should conduct the budget impact analysis of high-value medications such as anti-tumor drugs more objectively, and the accuracy of parameters needs to be more strictly guaranteed. Furthermore, it is worthy of declaring that the budgetary impact of the same drug is not always consistent over time, so the researchers should measure access to medication in the long run.

An Economic Impact Model for Estimating the Value to Health Systems of a Digital Intervention for Diabetes Primary Care: Development and Usefulness Study

Background

Diabetes is associated with significant long-term costs for both patients and health systems. Regular primary care visits aligned with American Diabetes Association guidelines could help mitigate those costs while generating near-term revenue for health systems. Digital interventions prompting primary care visits among unengaged patients could provide significant economic value back to the health system as well as individual patients, but only few economic models have been put forth to understand this value.

Objective

Our objective is to establish a data-based method to estimate the economic impact to a health system of interventions promoting primary care visits for people with diabetes who have been historically unengaged with their care. The model was built with a focus on a specific digital health intervention, Precision Nudging, but can be used to quantify the value of other interventions driving primary care usage among patients with diabetes.

Methods

We developed an economic model to estimate the financial value of a primary care visit of a patient with diabetes to the health system. This model requires segmenting patients with diabetes according to their level of blood sugar control as measured by their most recent hemoglobin A_1c value to understand how frequently they should be visiting a primary care provider. The model also accounts for the payer mix among the population with diabetes, documenting the percentage of insurance coverage through a commercial plan, Medicare, or Medicaid, as these influence the reimbursement rates for the services. Then, the model takes into consideration the population base rates of comorbid conditions for patients with diabetes and the associated current procedural terminology codes to understand what a provider can bill as well as the expected inpatient revenue from a subset of patients likely to require hospitalization based on the national hospitalization rates for people with diabetes. Physician reimbursement is subtracted from the total. Finally, the model also accounts for the level of patient engagement with the intervention to ensure a realistic estimate of the impact.

Results

We present a model to prospectively estimate the economic impact of a digital health intervention to encourage patients with documented diabetes diagnoses to attend primary care visits. The model leverages both publicly available and health system data to calculate the per appointment value (revenue) to the health system. The model offers a method to understand and test the financial impact of Precision Nudging or other primary care–focused diabetes interventions inclusive of costs driven by comorbid conditions.

Conclusions

The proposed economic model can help health systems understand and evaluate the estimated economic benefits of interventions focused on primary care and prevention for patients with diabetes as well as help intervention developers determine pricing for their product.

What Is Value in Health and Healthcare? A Systematic Literature Review of Value Assessment Frameworks

OBJECTIVES

This study aimed to investigate how value is defined and measured in existing value assessment frameworks (VAFs) in healthcare.

METHODS

We searched PubMed, Embase, the Cochrane Library, and Centre for Reviews and Dissemination from 2008 to 2019. We also performed backward citation chaining of included studies and previously published systematic reviews. Studies reporting the development of a VAF in healthcare were included. For each included framework, we extracted and compared the context, target users, intended use, methods used to identify value attributes, description of the attributes, and attribute scoring approaches.

RESULTS

Of the 8151 articles screened, 57 VAFs were included. The value attributes included in 55 VAFs were grouped into 9 categories: health benefits (n = 53, 96%), affordability (n = 45, 82%), societal impact (n = 42, 76%), burden of disease (n = 36, 65%), quality of evidence (n = 32, 58%), cost-effectiveness (n = 31, 56%), ethics and equity (n = 27, 49%), unmet needs (n = 21, 38%), and innovation (n = 15, 27%). The remaining 2 VAFs used broad attributes or user-defined attributes. Literature review was the main approach to identify value attributes in 36 VAFs. Patient or public was engaged through the development of only 11 VAFs. Weighting has been used to score 29 VAFs, of which 19 used the methods of multicriteria decision analysis.

CONCLUSIONS

There are substantial variations in defining and measuring value. A noticeable weakness of existing VAFs is that patient or public engagement was generally very limited or missing in framework development process. Existing VAFs tend to aggregate multiple value attributes into a single index for decision making.

Economic evaluation guidelines in low- and middle-income countries: a systematic review

OBJECTIVES

To systematically identify the latest versions of official economic evaluation guidelines (EEGs) in low- and middle-income countries (LMICs) and explore similarities and differences in their content.

METHODS

We conducted a systematic search in MEDLINE (Ovid), PubMed, EconLit, Embase (Ovid), the Cochrane Library, and the gray literature. Using a predefined checklist, we extracted the key features of economic evaluation and the general characteristics of EEGs. We conducted a comparative analysis, including a summary of similarities and differences across EEGs.

RESULTS

Thirteen EEGs were identified, three pertaining to lower-middle-income countries (Bhutan, Egypt, and Indonesia), nine to upper-middle-income countries (Brazil, China, Colombia, Cuba, Malaysia, Mexico, Russian Federation, South Africa, and Thailand), in addition to Mercosur, and none to low-income countries. The majority (n = 12) considered cost-utility analysis and health-related quality-of-life outcome. Half of the EEGs recommended the societal perspective, whereas the other half recommended the healthcare perspective. Equity considerations were required in ten EEGs. Most EEGs (n = 11) required the incremental cost-effectiveness ratio and recommended sensitivity analysis, as well as the presentation of a budget impact analysis (n = 10). Seven of the identified EEGs were mandatory for pharmacoeconomics submission. Methodological gaps, contradictions, and heterogeneity in terminologies used were identified within the guidelines.

CONCLUSION

As the importance of health technology assessment is increasing in LMICs, this systematic review could help researchers explore key aspects of existing EEGs in LMICs and explore differences among them. It could also support international organizations in guiding LMICs to develop their own EEGs and improve the methodological framework of existing ones.

Building Resilient Health Systems: Patient Safety during COVID-19 and Lessons for the Future

Background:

The COVID-19 pandemic has profoundly impacted the country’s health systems and diminished its capability to provide safe and effective healthcare. This article attempts to review patient safety issues during COVID-19 pandemic in India, and derive lessons from national and international experiences to inform policy actions for building a ‘resilient health system’.

Methods:

Systematic review of existing published articles, government and media reports was undertaken. Online databases were searched using key terms related to patient safety during COVID-19 and health systems resilience. Seventy-three papers were included dependent on their relevance to research objectives.

Findings:

Patient safety was impacted during COVID-19, owing to sub-optimal infection prevention and control measures coupled with reduced access to essential health services. This was largely due to inadequate infrastructure, human and material resources resulting from chronic underinvestment in public health systems, paucity of reliable data for evidence-based actions and limited leadership and regulatory capacity.

Conclusions:

India’s health systems were found ill prepared to tackle large-scale pandemic, which has major implications for patient safety. The shortcomings observed in the COVID-19 response must be rectified and comprehensive health sector reforms should be initiated for building agile and resilient health systems that can withstand future pandemics.

Comprehensive value assessment of drugs using a multi-criteria decision analysis: An example of targeted therapies for metastatic colorectal cancer treatment

OBJECTIVE

This study is aimed toward establishing a decision-making model with multiple criteria for appraisal and reimbursement to compare the attitudes of different stakeholders toward various dimensions and criteria and to evaluate the five targeted therapies (bevacizumab, cetuximab, panitumumab, aflibercept, and regorafenib) for metastatic colorectal cancer.

METHOD

This study is a multi-criteria decision analysis (MCDA) using a model that includes three dimensions and nine criteria. Both the overall and individual scores of the respective targeted therapies in different dimensions and criteria were calculated. A sensitivity analysis was carried out in order to evaluate the robustness of the research results. An interview-based questionnaire survey was applied to obtain the performance information for the targeted therapies and the weights of the dimensions and criteria.

RESULTS

Overall, the clinical dimension had the highest weight, followed by the economic dimension, and finally, the social dimension. In the clinical dimension, the "comparative efficacy" criterion had the highest weight; in the economic dimension, the "cost-effectiveness" criterion" was given the greatest importance; in the social dimension, the "social concern and patient needs" criterion was given more emphasis. The overall values ranked from high to low as follows: cetuximab (overall score 3.3666), bevacizumab (3.3043), panitumumab (3.2030), aflibercept (2.8923) and regorafenib (2.8366).

CONCLUSIONS

A comprehensive value assessment system combining "multi-dimensional criteria," "multi-perspectives," and an "integrative assessment" is necessary to evaluate the value of medicines. The results showed not only the order of weights of different dimensions or criteria, but also the rankings of the value of the targeted therapies.