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Toolbox for decrementally cost-effective interventions (d-CEIs) in HTA

Toolpeer-reviewed✓ Source-grounded

This toolbox helps decision-makers assess health interventions that are less effective but also less costly, to determine when they should be adopted. It supports fair and transparent decisions by using tools like a checklist, decision tree, and choice experiments, especially when savings from less costly options can be reinvested to benefit more people.

At a glance

Use when

Evaluating cheaper, less effective interventions where cost savings can be reinvested; supporting policy decisions in resource-constrained settings; conducting ethical deliberations on trade-offs in HTA.

Avoid when

When reinvestment of savings is not feasible or guaranteed; in contexts prioritizing individual-level efficacy above population-level gains; when robust cost and outcome data are unavailable.

Inputs

Data on cost differences and health outcome losses of interventions; stakeholder preferences; context-specific budget and reinvestment assumptions.

Outputs

Structured deliberation outputs guiding adoption decisions; ethical justification for d-CEI use; prioritization recommendations based on cost-effectiveness trade-offs.

How it works

The toolbox provides methodological support for evaluating decrementally cost-effective interventions (d-CEIs)—health technologies that reduce both costs and health outcomes. It includes a discrete choice experiment, a structured checklist, and a decision tree to guide ethical and transparent adoption decisions in HTA. Grounded in evidence from a systematic review identifying 107 such interventions, the toolbox supports policy-level decisions where cost savings from d-CEIs can be reallocated to improve population health. It addresses gaps in traditional HTA frameworks that prioritize more effective but costlier innovations.

Project
IMPACT HTA
Funding
Horizon 2020
Project status
Completed 2021
HTA domains
Costs & Economic Evaluation
Categories
Decremental CEA
Technology
Non-specific
Assumptions
Savings from less costly, less effective interventions can be reinvested to generate greater population health gains; small individual efficacy losses are acceptable if overall health system benefits increase.
Strengths
Promotes population-level health maximization; supports transparent and ethical decision-making; integrates stakeholder values through choice experiments; addresses a gap in traditional HTA frameworks.
Limitations
Requires reliable data on cost and outcome reductions; depends on reinvestment of savings, which may not occur in practice; limited applicability in systems without mechanisms for reallocation.
Also known as
d-CEI Toolbox, Toolbox for decrementally cost-effective interventions

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