ADePT (Health Equity and Financial Protection module)
ADePT is a software tool that helps analyze how health outcomes, healthcare use, and health financing affect different population groups, especially in terms of equity and financial protection. It uses household survey data to show who benefits from health services and how health payments impact poverty and inequality.
At a glance
Use when
Analyzing equity in health outcomes, healthcare access, or financial protection using nationally representative household surveys
Avoid when
Conducting clinical effectiveness evaluations requiring individual patient data; when real-time or longitudinal modeling is needed; when advanced econometric methods beyond ADePT's scope are required
Inputs
Household survey data including health status, healthcare utilization, income/expenditure, and health financing information
Outputs
Standardized tables and charts on health inequality, benefit incidence, financial protection, and financing progressivity
How it works
ADePT (Automated Development Economics Poverty Tables) is a software package that automates distributional analysis of household survey data. The Health module includes two sub-modules: Health Outcomes, which analyzes inequalities in health and healthcare utilization, standardizes for need, decomposes inequality drivers, and conducts benefit incidence analysis; and Health Financing, which assesses financial protection through catastrophic and impoverishing payment metrics, and evaluates the progressivity and redistributive effects of health financing systems.
- HTA domains
- Costs & Economic Evaluation, Organisational aspects, Patient and Social Aspects
- Assumptions
- Data are representative and accurately reported; need for healthcare can be proxied by health status or demographic factors; financing contributions and utilization are correctly attributed to individuals/households
- Strengths
- Automates complex equity and financial protection analyses; produces standardized, comparable results; user-friendly interface for non-programmers; supports policy-relevant insights from survey data
- Limitations
- Dependent on quality and availability of household survey data; limited flexibility for custom analysis without programming; primarily designed for cross-sectional data
- Also known as
- ADePT Health, Automated Development Economics Poverty Tables (Health Module)
Questions this answers
- › How equally are health outcomes and healthcare services distributed across different population groups?
- › What factors contribute to inequalities in health and healthcare utilization?
- › How is government health spending distributed across income or social groups (benefit incidence)?
- › Do health payments push households into poverty (impoverishing payments)?
- › Are health financing systems progressive or regressive?
- › How do out-of-pocket health payments affect household financial well-being?
References & sources
Similar by meaning
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