• Integrating Health Equity into Economic Decision-Making

    Integrating Health Equity into Economic Decision-Making

    For any health program, it is essential to check not just the total health gain but also who is receiving those gains; as fair decisions depend on both. Typical cost-effectiveness analysis (CEA) emphasizes efficacy by comparing costs and quality-adjusted life years (QALYs), indirectly considering all QALYs as equal in spite of whether they apply to the rich or poor, the healthy or severely ill, thus inadvertently increasing existing health disparities. Alternatively, equity-based approaches can make exact value decisions about minimizing inequitable and avoidable health gaps, using ethical theories, including egalitarianism and prioritarianism to validate giving extra importance to improvements in disadvantaged groups.(1-3)

    ​To implement equity factors, analysts first disaggregate costs and health outcomes by equity-relevant categories, including socioeconomic status, ethnicity, gender, region, or baseline health. This is done with the intention of estimating and not assuming the distributional effects of interventions. Extended or “equity-informative” CEA then informs subgroup-specific findings and inequality parameters, combined with standard incremental cost-effectiveness ratios (ICERs), enabling decision-makers to assess who benefits and who loses choosing different policy options without condensing everything into a single number. This descriptive step is often possible with fewer data enhancements and already offers a clearer base for deliberation about equity-efficiency trade-offs.(1)

    ​Distributional cost-effectiveness analysis (DCEA) specifically focuses on inequality in a social welfare framework that values both total health and its distribution. DCEA turns intervention costs into health opportunity costs and demonstrates alternative options for changing the distribution of lifetime health across groups, condensing the result with indices, including the equally distributed health that drops as inequality increases. By changing inequality aversion metrics, DCEA shows when a slightly less efficient intervention may be socially preferable since it provides larger gains to the worst off.(2)

    ​Equity weights applied to QALYs or disability-adjusted life years (DALYs) are another way to reinforce support for equity, by attributing higher weights to health gains for people who are poorer, more severely ill, or have larger lifetime health deficits. These weights can be obtained from empirical studies of public preferences or from ethical reasoning. However, they pose practical and ethical questions about how to draw and validate the chosen parameters in a clear, legitimate manner. Even when not used routinely as decision rules, equity-weighted analyses can explain how different social value findings would change intervention rankings.(4)

    ​Most health technology assessment (HTA) recommendations continue to prefer standard CEA and refer to equity only in broad terms, leaving distributional concerns to informal discussions rather than precise modelling. However, evidence suggests that incorporating equity considerations is not only feasible but also useful for decisions on screening, vaccination, and service delivery, for e.g., in low- and middle-income countries seeking universal health coverage.(1, 5) As methods, including extended CEA, DCEA, and equity weighting, are more widely applied, economic evaluation can transform into a more accessible, value-aware tool that facilitates transparent balancing of efficacy and equity in health policy.

    Become A Certified HEOR Professional – Enrol yourself here!

    References

    1. Muir JM, Radhakrishnan A, Ozer Stillman I, Sarri G. Health Equity Considerations in Cost-Effectiveness Analysis: Insights from an Umbrella Review. Clinicoecon Outcomes Res. 2024; 16:581-596.
    2. Asaria M, Griffin S, Cookson R. Distributional Cost-Effectiveness Analysis: A Tutorial. Med Decis Making. 2016; 36(1):8-19.
    3. Sivanantham P, Anandraj J, Ravel V, et al. Equity Considerations in Health Economic Evaluations: A Systematic Review of WHO South-East Asia Region Countries. WHO South-East Asia Journal of Public Health. 2024; 13(2): 69-77.
    4. Sassi F, Archard L, Le Grand J. Equity and the economic evaluation of healthcare. Health Technol Assess 2001; 5(3).
    5. Methods for the development of NICE public health guidance (third edition). 2012. [Accessed online on 22nd December 2025]. Available at: https://www.nice.org.uk/process/pmg4/chapter/incorporating-health-economics
  • Biosimilar: Does It Burn Your Pocket?

    Biosimilar: Does It Burn Your Pocket?

    The high cost of pharmaceuticals, especially biologics, has become an important issue in the battle to control healthcare costs. In order to overcome this impediment, biosimilar unlike generics were first marketed in Europe in the year 2007. The Affordable Care Act (ACA), which includes the Biologics Price Competition and Innovation Act (BPCIA), defines biosimilar as having “no clinically meaningful differences between the biological product and the reference product in terms of safety, purity, and potency.”

    When a biosimilar is compared to a generic product, it should be realized that the time taken for the development of the biosimilar takes 6-9 years whereas the development of the generic product usually takes anywhere between 1-3 years only. As far as the development costs are concerned, estimates for biosimilar ranges from US $20-300 million depending on whether a plant has to be developed. Customary generics’ costs around US $1-4 million. Biosimilar imbibes a great cost in its development as it entails sophisticated technologies and methods which eventually increases the riskiness of investment. In addition, there is a great deal of price difference between the biosimilar and its reference biological product itself. Various factors such as cost of development, prescriber disquiets followed by entry hurdles and the degree of competition helps to understand the price difference including discounts between the biosimilar and the reference biological product. It is a usual practice observed that most of the originator companies reduce the prices or start offering great discounts giving tough time to the biosimilar manufacturers.

    From the health economics angle, a question arises whether essential differences are observed between the biological reference product and the biosimilar with respect to the purity, efficacy and safety. This question remains unanswered till date. If effectiveness is not compromised at reduced cost then biosimilar can be suggested. If the biopharmaceutical and the biologics are not interchangeable, the savings ascending from biosimilar need to be evaluated against the impact on effectiveness and the cost of therapy. A poorer efficacy of a biosimilar possibly will result in the need for added therapy or hospitalization and may entail that the patient necessities to take additional time off work. In such cases an economic evaluation of the biosimilar is crucial.

    During the economic evaluation, the incremental cost-effectiveness ratio (ICER) of the intervention is calculated relative to the appropriate comparator. If the comparator includes a biological reference product and a biosimilar, the price of which one should be used to value costs? This decision is likely to have an influence on the cost effectiveness of the intervention. Many countries have specific guidelines laid down that serve as standards for planning and conducting the economic evaluation but no guidelines state whether the valuation of comparator costs should be based on the price of the reference biopharmaceutical product or the biosimilar.

    According to the report from American Action Forum (AAF), reimbursement policy for biosimilars will have a negative consequences for patients. In recognition that biosimilars are not simply generic versions of biologicals, the Biologics Price Competition and Innovation Act was included in the Affordable Care Act (ACA) to establish a different pathway for approval through the FDA and a different methodology for reimbursement from CMS. The law directs that biosimilars be paid based on 100 percent of their volume-weighted Average Sales Price (ASP) plus 6 percent of their reference product’s ASP. Biosimilars were given this more favorable add-on to the reimbursement rate in recognition as they are more expensive to produce than small molecule generics.

    Undoubtedly, biosimilar industry has been growing exceptionally in regions such as Europe, US, Japan and South Korea. A million dollar question stands tall is the scenario of biosimilars in India. In the year June 2015, Ahmedabad-based pharma major Intas Pharmaceuticals launched first biosimilar in India named Razumab, a biosimilar to Lucentis (ranibizumab) to treat degenerative conditions of the eye. A Deloitte survey done in India found out that physicians are willing to prescribe a first-line critical therapy if it was offered at a 60 to 70 percent discount. Access to affordable biologics in India is still poor. The engagement and the advocacy from payer in favor of biosimilars is very low. Prescribers in India are partially open to prescribing biosimilars when compared to the biopharmaceutical reference product as well as the patient’s attitude towards biosimilar in India is found to be moderate.

    While Indian companies have launched a few such products in the domestic market, where regulatory barriers are relatively low, they are being overtaken by European, American and South Korean firms in the race to supply profitable Western markets.

    Become a Certified HEOR Professional – Enrol yourself here!