GTPCNZ

CI Quarto Pages

GTPCNZ is a public policy-research package about primary care funding in Aotearoa New Zealand, with comparative material for Australia.

Website: https://edithatogo.github.io/gtpcnz/

What this is

  • A source-informed model scaffold for exploring primary care funding architecture.
  • A Quarto website and reproducible report.
  • A Streamlit dashboard for interactive explanation of scenario logic.
  • A public audit trail of assumptions, caveats, and launch materials.

What this is not

  • It is not an endorsed policy position.
  • It is not a real-data calibrated forecasting model.
  • It should not be used to claim precise fiscal savings, hospital-demand reductions, workforce effects, or implementation impacts.

Current thesis

The thesis is specific: keep capitation for continuity, enrolment, baseline viability, and population responsibility. Add an uncapped, scheduled, rules-based fee-for-service stream for eligible primary medical activity, controlled through item rules, provider scope, clinical governance, documentation, audit, co-payment protections, and place-based accountability.

Short version:

Uncapped does not mean uncontrolled.

Public pages

  • Quarto website: https://edithatogo.github.io/gtpcnz/
  • Interactive explainer (Streamlit): https://gtpcnz.streamlit.app/
  • Quarto source report: reports/primary_care_architecture.qmd
  • Streamlit dashboard entrypoint: streamlit_app.py
  • Dashboard implementation: models/primarycare_model/app.py
  • Model card: docs/calibration/model-card-v1.7.2.md
  • Claim boundaries: docs/launch/claim-boundaries-v1.7.2.md
  • Evidence tracker: docs/public-site/evidence-tracker-public-v1.8.1.md
  • Calibration readiness: docs/public-site/calibration-readiness-page-v1.8.1.md

Run locally

Install dependencies:

pip install -r requirements.txt

Run tests:

pytest -q

Render the Quarto website:

quarto render --to html

Run the Streamlit dashboard:

streamlit run streamlit_app.py

Deploy

GitHub Pages is deployed from .github/workflows/pages.yml.

Streamlit Community Cloud can deploy this app with:

  • Repository: edithatogo/gtpcnz
  • Branch: main
  • Entrypoint: streamlit_app.py

License and citation

See LICENSE for the mixed code/content licensing terms and CITATION.cff for citation metadata.