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PAID 4.0

Toolvalidated

PAID 4.0 is a web-based tool that helps researchers estimate future healthcare costs when evaluating medical treatments. It calculates expected annual healthcare spending for individuals based on their age, sex, and how close they are to death, allowing for more accurate long-term cost predictions in health studies.

At a glance

Use when

Conducting long-term economic evaluations where future unrelated medical costs are relevant; modeling chronic diseases with significant end-of-life cost components; when detailed, stratified cost projections are needed.

Avoid when

When only short-term cost impacts are of interest; when detailed local cost data are unavailable and cannot be adapted; when non-healthcare societal costs are the primary focus.

Inputs

Intervention parameters such as population age, sex, and mortality risk; user-defined scenarios for disease progression or treatment effects.

Outputs

Per capita annual healthcare cost projections stratified by age, sex, and proximity to death; case-specific estimates of future unrelated medical and non-medical costs.

How it works

PAID 4.0 is a web-based application that generates per capita annual healthcare expenditure projections by integrating user-specified intervention parameters with stratified cost data by age, sex, and proximity to death. It supports the inclusion of unrelated medical and non-medical costs in economic evaluations, improving the accuracy of long-term cost modeling in health technology assessment.

Project
HI-PRIX
Funding
Horizon Europe
Project status
Ongoing
HTA domains
Costs & Economic Evaluation
Technology
Non-specific
Assumptions
Future healthcare costs are influenced by age, sex, and time to death; baseline expenditure patterns are generalizable across populations with similar demographic and mortality profiles.
Strengths
Enables more comprehensive and realistic long-term cost estimation in economic models; accounts for key demographic and mortality-related drivers of healthcare spending; web-based and user-friendly interface.
Limitations
May not capture region-specific cost variations without local calibration; relies on aggregate expenditure data which may mask individual-level heterogeneity; limited to healthcare cost projections and does not include broader societal costs by default.

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Beta record. Based on the original catalogue summary; primary-source enrichment pending.