Article

Beyond direct health outcomes: The wider societal impact of innovative treatments

  • Quentin Berkovitch, MS

  • Henri Leleu headshot

    Henri Leleu, MD, PhD

Health technologies are increasingly judged not only by what they achieve in clinical trials, but by the broader footprint they leave on patients' lives, health systems, and society as a whole. As decision-makers demand a fuller account of value, the ability to measure and communicate the societal and environmental consequences of innovative treatment is becoming a strategic imperative.

Why consider societal impact?

Innovative treatments are primarily valued for their clinical efficacy. Yet the value they generate extends well beyond their clinical endpoints. Treatments that alter patient care, such as shortening hospital stays, preventing adverse events, or shifting care to the community, create widespread effects on health systems, society, and the environment. Shorter stays increase the availability of resources and lower costs, while reducing or avoiding future treatment decreases healthcare consumption and associated environmental impact.

The magnitude of these effects is far from negligible. Consider chronic kidney disease (CKD): microsimulation modeling has projected that the per-patient economic burden of CKD escalates sharply as the disease progresses, driven largely by resource-intensive renal replacement therapies. 
Haemodialysis alone carries a substantial environmental footprint, as a single facility's annual greenhouse gas emissions are equivalent to those of 93 average homes, and each treatment session generates CO₂ emissions comparable to driving 238 km. Any intervention that delays disease progression or reduces dialysis frequency, therefore, yields measurable environmental co-benefits alongside clinical and economic gains.

The societal burden is equally striking in metabolic disease. In France, the total cost of obesity, encompassing direct medical expenditure, productivity losses, and broader welfare effects, was estimated at €12.7 billion in 2024, including €1.0 billion in indirect costs, with projections reaching €15.4 billion by 2030. Therapies that meaningfully reduce body weight do not merely reduce the health burden of obesity; they have the potential to alleviate a systemic economic burden borne by patients, employers, and public finances alike.

These examples show that much of the benefit from innovative treatments occurs beyond traditional clinical trial outcomes. Shifts in care pathways, fewer hospitalisations, less informal care, improved productivity, and reduced carbon emissions all create value for patients, payers, and society—value that traditional assessments often overlook. As pricing pressures increase, accurately capturing this broader benefit becomes essential to convince stakeholders of a treatment’s holistic value.

Crucially, the evidence and methodologies to quantify these effects are rapidly maturing. Many instruments exist for measuring indirect costs, such as absenteeism, presenteeism, and caregiver preferences. Environmental accounting methods allow granular estimation of the carbon footprint associated with specific care pathways. Increasingly available real-world data, including claims databases, electronic health records, and disease registries, provide the inputs these analyses require. Methodological standards for transparent data generation and uncertainty characterisation are converging, making rigorous societal and environmental assessment not only desirable but increasingly robust.

How to assess it?

A common misconception is that evaluating societal and environmental outcomes demands an entirely separate analytical approach. In practice, the same modeling backbone used for standard health economic evaluation can accommodate these expanded outcomes within a single, consistent framework. Decision trees, Markov models, partitioned survival models, and discrete event simulations all lend themselves to the inclusion of clinical, economic, and societal endpoints as the core approach remains unchanged; only the outcome set is broadened.

The practical steps follow a familiar logic:

  • Define the perspective(s): whether payer or health system, societal or environmental, each perspective determines which costs and consequences enter the analysis.
  • Map the care pathway and identify where the innovation has a potential impact: resource use, patient and caregiver time, travel, care setting shifts, etc. Follow the potential impact through their associated externalities.
  • Identify parameter values for these impacts from clinical trials, real-world evidence, registries, published literature, and, where necessary, expert elicitation.
  • Address uncertainty through probabilistic sensitivity analysis and scenario testing.
  • Align reporting with accepted health economic, societal, and environmental standards to ensure transparency and credibility.


A key consideration is to include patients and caregivers as much as possible. Quantitative studies or qualitative interviews with patients and caregivers can uncover burdens that remain unseen in clinical trials or administrative datasets, or that are overlooked by physicians. Logistical challenges of managing complex treatments, lingering symptoms from disease or therapy, stigma, impact on caregivers, and mental health impacts can all significantly affect the lives of patients and caregivers. These factors contribute to out-of-pocket expenses, work difficulties, and time spent dealing with illness that could be impacted by an innovation. Insights from patients and caregivers both guide model structure and outcome selection and can make results more relevant to stakeholders by connecting them to real experiences.

Some examples of meaningful societal impact of innovations


Rare disease: Patients’ and caregivers’ perspective in haemophilia A

Haemophilia A is a rare, inherited bleeding disorder caused by a deficiency or dysfunction of clotting factor VIII. Patients experience prolonged and excessive bleeding following injuries or surgeries, spontaneous bleeding episodes, and, in severe cases, life-threatening complications. The burden on patients and caregivers is substantial, encompassing the demands of administering frequent factor replacement, the emotional toll of constant vigilance against unpredictable bleeding events, significant financial strain due to the high cost of treatment, disruption to family routines from frequent medical appointments and emergency visits, and the ongoing responsibility of coordinating care across multiple specialists. This means haemophilia A profoundly affects not only patients but also the families and caregivers who support them.

A recently published study that we performed looked at the specific impact for patients and caregivers of obtaining their treatment. Until recently, patients in France could only access haemophilia A treatments at hospital pharmacies, requiring frequent travel. Our study found that this process resulted in the loss of 3 workdays, about €300, and 52 tons of CO₂ emissions per year per patient or caregiver. Though these numbers may seem minor, they can consume up to 2.6% of a family's disposable income, adding financial strain to obtaining necessary medication. The study also found that hospital-only access increased geographical inequalities for patients living far from the hospital in rural areas. Aware of these challenges, a leading haemophilia A drug maker partnered with hospitals and community pharmacists to offer their treatment at local pharmacies, easing access for patients and caregivers. Our study showed that these changes could substantially reduce the dispensation burden, giving families back time and money that they spend on the disease, while reducing the carbon footprint linked to transportation to and from the hospital. The innovative treatment's properties allowed for this shift in dispensing, resulting in measurable societal and environmental benefits relevant to policy.

Influenza vaccination: A major societal impact through indirect cost-savings

Influenza causes, on average, over one million primary care consultations, 20,000 hospitalisations, and 9,000 deaths annually in France. Adults aged 50 to 64 years face elevated risks due to increasing chronic comorbidities, yet current vaccination recommendations begin only at age 65. We developed a susceptible, exposed, infectious, recovered (SEIR) compartmental model to evaluate the health and economic consequences of expanding vaccination to all adults aged 50 years and over (Béraud et al., 2025). In addition to healthcare resources and costs, we examined how influenza directly affects sick leave among working adults aged 50 to 64. We focused on sick leave frequency and duration, employment rate, and average daily economic output. 

The model demonstrated that achieving vaccination coverage among individuals aged 50 to 64 years, comparable to the current rates observed in the 65+ group, could annually prevent over 500,000 general practitioner consultations, 9,000 hospitalisations, and approximately 3,000 deaths. Evaluating cost-effectiveness from the payer perspective indicated that this approach is highly efficient, yielding an incremental cost-effectiveness ratio of €1,496 per quality-adjusted life-year (QALY). However, when accounting for the impact of reduced sick leave, this vaccination strategy resulted in substantial productivity gains (estimated at more than €300 million per year), thereby establishing it as a dominant strategy from a societal perspective. This represents a much higher value than just being cost-effective. Further work is being done to assess the additional environmental impact of this strategy. With a hospitalisation representing about 43 kg of CO₂ emissions, reducing thousands of hospitalisations per year could also be associated with a major reduction in CO₂ emissions.

This case demonstrates how restricting an evaluation to direct medical costs can substantially understate the true value of an intervention, and how adopting a societal perspective can transform the policy narrative.

Conclusion

Innovative treatments can generate value that extends across the full patient care pathway, with measurable societal and environmental consequences well beyond clinical endpoints. These impacts are increasingly quantifiable through robust health economic modeling, enriched by qualitative evidence that captures burdens overlooked by conventional assessments. The analytical framework is neither novel nor burdensome; rather, it builds on established modeling architectures, expanded to accommodate a broader, more realistic set of outcomes.

As it becomes more challenging to differentiate interventions based solely on clinical benefits, conducting thorough societal and environmental impact assessments provides a credible way to set innovations apart, making these factors central to the value proposition rather than secondary. Highlighting this differentiation and enhanced value is crucial to ensure that pricing and access align with the true value of the innovation.
Note: Sources listed below


Disclaimer:
This article summarises Cencora’s understanding of the topic based on publicly available information at the time of writing (see listed sources) and the authors’ expertise in this area. Any recommendations provided in the article may not be applicable to all situations and do not constitute legal advice; readers should not rely on the article in making decisions related to the topics discussed.



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Sources

  • Béraud G, Mosnier A, Guérin O, et al. Cost-effectiveness analysis of expanding influenza vaccination to adults aged 50 and over in France. Infect Dis Ther. Jul 2025;14(7):1513‑1527. doi:10.1007/s40121-025-01168-5 
  • Hubens K, Krol M, Coast J, et al. Measurement instruments of productivity loss of paid and unpaid work: a systematic review and assessment of suitability for health economic evaluations from a societal perspective. Value Health. 2021 Nov;24(11):1686-1699. doi:10.1016/j.jval.2021.05.002 
  • Leleu H, Fraticelli L, Ajjouri R, Touvron G, Chamouard V. Estimation of the budget impact of the dual dispensing circuit of emicizumab in France: The HemiValue study. J Epidemiol Popul Health. April 2025;73(2):202975. doi:10.1016/j.jeph.2025.202975 
  • McCaffrey N, Engel L, Karnon B, et al. A scoping review of preference-based instruments for measuring carer outcomes in economic evaluations. Soc Sci Med. 2026 Feb;390:118762. doi:10.1016/j.socscimed.2025.118762
  • Moukala Same G. Obesity in France: A cost of €12.7 billion in 2024 and potentially €15.4 billion in 2030. Astéres. Nov 2024. https://asteres.fr/en/etude/lobesite-en-france-un-cout-de-127-mdse-en-2024-et-potentiellement-154-mdse-en-2030/ 
  • Sehgal AR, Slutzman JE, Huml AM. Sources of variation in the carbon footprint of hemodialysis treatment. J Am Soc Nephrol. Sept 2022;33(9):1790‑1795. doi:10.1681/ASN.2022010086 
  • Shift Project. Décarboner la santé pour soigner durablement. Rapport final. April 2023. Accessed 18 May 2026. https://theshiftproject.org/app/uploads/2025/01/180423-TSP-PTEF-Rapport-final-Sante_v2.pdf 
  • Tangri N, Chadban S, Cabrera C, Retat L, Sánchez JJG. Projecting the epidemiological and economic impact of chronic kidney disease using patient-level microsimulation modelling: rationale and methods of inside CKD. Adv Ther. Jan 2023;40(1):265‑281. doi:10.1007/s12325-022-02353-5

 

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