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Aggregate Distributional Cost-Effectiveness Analysis (ADCEA)

Methodpeer-reviewed✓ Source-grounded

ADCEA is a method that helps assess how a new health technology affects both overall health and health inequalities across different social groups. It uses existing data to estimate who benefits from a treatment based on socioeconomic patterns in hospital use, and shows whether the technology improves or worsens health equity.

At a glance

Use when

Assessing equity impacts of health technologies in resource-constrained settings; when individual-level equity data are unavailable; during technology appraisal processes that consider fairness

Avoid when

Detailed patient-level socioeconomic and outcome data are available; when technology access or response varies significantly by group beyond hospitalization patterns

Inputs

Health benefits, costs, patient population data, socioeconomic distribution of hospital utilization for the target disease, inequality aversion parameters

Outputs

Estimates of changes in population health and health inequality, cost-effectiveness ratios, social welfare indices, classification of technologies by health and equity impact

How it works

ADCEA combines cost-effectiveness analysis with inequality assessment by distributing health benefits across socioeconomic groups using observed hospital utilization data for the targeted condition. It employs inequality measures (e.g., concentration indices) and social welfare indices with inequality aversion parameters to evaluate trade-offs between population health gains and changes in health inequality. The method maps interventions on a health inequality impact plane and offers a less data-intensive alternative to individual-level distributional cost-effectiveness analysis.

HTA domains
Costs & Economic Evaluation, Organisational aspects, Patient and Social Aspects
Assumptions
Health benefits are distributed according to observed socioeconomic patterns of hospital utilization; equal access to technology within socioeconomic groups; no technology-specific differences in utilization or effectiveness across groups
Strengths
Uses readily available aggregate data; allows quantitative assessment of equity impacts; integrates with traditional cost-effectiveness analysis; supports policy decisions with equity considerations
Limitations
Does not account for technology-specific differences in access or effectiveness across groups; relies on proxy data (hospital utilization) for benefit distribution; less precise than individual-level distributional analysis
Also known as
ADCEA

Questions this answers

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