Treatment effects added to time to exacerbation - Githubissues

resplab / epicR

R package for the Evaluation Platform in COPD (EPIC), an agent-based whole-disease model for projection of health and economic outcomes and COPD interventions.

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Treatment effects added to time to exacerbation #94

Closed KateJohnson closed 5 years ago

KateJohnson commented 5 years ago

The coefficients come from the effect of the therapy on the rate of exacerbations.
This is implemented and working, but note that the impact of treatment on the rate of exacerbations has a lag of 1 annual event.

KateJohnson commented 5 years ago

Need to validate treatment by checking that exacerbation rate is lower in diagnosed than undiagnosed. Should create a validation function for treatment.

KateJohnson commented 5 years ago

validate_treatment() is added, but need more rigorous tests of treatment effect. Try scenarios in which everyone is diagnosed, versus everyone undiagnosed, and see if you can recover the treatment effect in the rate of exacerbations.

This function was added on 07.15.2019

KateJohnson commented 5 years ago

Treatment effects need to be expanded to the full GOLD ABCD classification:

A-SABA, B/C- LAMA or LABA or LABA/LAMA, D/diagnosed after hospitalization- Triple therapy
Implement these probabilistically to account for variable adherence

KateJohnson commented 5 years ago

ABCD treatment classification added. Use validate_medication() to look at treatment trends over time.
Treatment is still not assigned probabilistically

KateJohnson commented 5 years ago

Treatments adherence is fully implemented. Use

input <- init_input() input$values$medication$medication_adherence <- 0.5

To change adherence, which proportionally influences treatment costs and treatment effectiveness (rate of exacerbations)