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Evaluation of Intervention Impact on Health Inequality for Resource Allocation

Methodpeer-reviewed✓ Source-grounded

This method estimates how public health interventions affect health inequality and total health using existing aggregate data. It helps decision-makers understand whether an intervention reduces health disparities, improves overall health, or both, especially when allocating resources.

At a glance

Use when

Prioritizing public health interventions with equity goals; conducting economic evaluations where health inequality impact is relevant

Avoid when

Detailed individual-level distributional data is available and feasible to use; when non-linear or complex interaction effects dominate

Inputs

Intervention costs, QALYs, target population characteristics, evidence on distribution by age, gender, and deprivation, baseline health distribution, inequality aversion parameter

Outputs

Incremental QALYs by socioeconomic group, summary measures of health inequality, health equity impact plane, combined measure of health and equity value

How it works

A simplified distributional cost-effectiveness analysis (DCEA) using aggregate data from NICE public health guidance to estimate socioeconomic distribution of incremental QALYs, health opportunity costs, and baseline health. It incorporates inequality aversion parameters from population surveys to combine health inequality and total health impacts into a single value metric. Summary inequality measures and a health equity impact plane are used to present results.

HTA domains
Clinical Effectiveness, Costs & Economic Evaluation, Patient and Social Aspects
Assumptions
Socioeconomic distribution of effects can be approximated from aggregate data; health opportunity costs vary by deprivation; inequality aversion is constant across population
Strengths
Uses existing aggregate data; applicable to routine economic evaluations; explicitly incorporates health equity; provides visual and quantitative outputs for decision-making
Limitations
Relies on proxy data for distributional effects; limited granularity compared to individual-level data; assumes linearity in deprivation gradients
Also known as
Simplified DCEA, Distributional Cost-Effectiveness Analysis for Resource Allocation

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