`ee_trd`: Economic Evaluation of Novel Therapies for Treatment-Resistent Depression

[edithatogo]

Submitting Author: @edithatogo
Package Name: ee_trd
One-Line Description of Package: Economic Evaluation of Novel Therapies for Treatment-Resistent Depression
Repository Link (if existing): https://github.com/edithatogo/ee_trd
EiC: TBD

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Code of Conduct & Commitment to Maintain Package

• I agree to abide by pyOpenSci's Code of Conduct during the review process and in maintaining my package after should it be accepted.
• I have read and will commit to package maintenance after the review as per the pyOpenSci Policies Guidelines.

Description

This provides a comprehensive toolkit for economic evaluation of therapies for treatment-resistant depression. The current setup is for novel (psychedelic) therapies compared with ECT (decision context) from a health system and societal perspective in Australia and New Zealand.

Community Partnerships

Doesn't fit with existing partnerships and at this stage there are relatively few people working with Python in academic health economics.

Scope

- [x] Data processing/munging
- [x] Data visualization

Domain Specific

• Health
• Economics

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• Who is the target audience and what are the scientific applications of this package?
  Clinicians, policymakers, scientists, economists, managers

• Are there other Python packages that accomplish similar things? If so, how does yours differ?
  No

• Any other questions or issues we should be aware of:
  No

P.S. Have feedback/comments about our review process?
There are a growing number of people using Python for health. I'm keen to lead this and happy to support peer review too.