911 Nurse Triage Line
This repository contains all the code and all data we may publicize related to the 911 Nurse Triage Line randomized controlled trial. It will be updated as more analyses are done.
The code in this repository is written in Python. We used Python 3.6.3, and in fact require Python 3.6+
due to the liberal use of
f-strings. The work is done in Jupyter notebooks. If you do not have Python
installed on your machine, we recommend Anaconda.
All other Python package requirements are contained in
requirements.txt and can be installed with
conda install -r requirements.txt -c conda-forge if using conda, or
pip install -r requirements.txt
Table of Contents
There are several computations that are performed in this repository. Here we index them.
Computing the dropped call rate in the study
DroppedCalls.ipynb corresponds to Appendix C of our Pre-analysis
Plan. It computes the proportion of calls which were assigned to the Nurse
Triage Line which will not be answered by the nurse due to all the nurses being
busy. This computation is based on historical data.
PowerCalculations.ipynb computes the minimum detectable effect
based on a range of base rates and sample sizes which are plausible for our
study. It corresponds to Appendix G of our Pre-analysis Plan.
We also make available all calls for EMS service in the District during 2016. This csv
data/2016_EMS_Events.csv) has only two columns: the time the call was received and
the classification of the call.