Skip to main content

INTECOMM Trial EDC (http://www.isrctn.com/ISRCTN76157257)

Project description

pypi actions codecov downloads

intecomm-edc

Controlling chronic diseases in Africa: Development and evaluation of an integrated community-based management model for HIV, Diabetes and Hypertension in Tanzania and Uganda (INTE-COMM study)

Liverpool School of Tropical Medicine

University College London (UCL)

http://www.isrctn.com/ISRCTN15319595

See also https://github.com/clinicedc/edc

  • Django 4.2 / python 3.11

  • EDC (see setup.cfg for version)

  • We run live and UAT on Ubuntu with nginx/gunicorn/mysql 8.1

Basic install

conda create -n edc python=3.11
conda activate edc
git clone https://github.com/intecomm-trial/intecomm-edc.git ~/apps
cd ~/apps
pip install -U .
python manage.py migrate
# run migrate a second time for post-migrate signals
python manage.py migrate

Randomization

Groups of patients are randomized to community integrated care (intervention) or facility integrated care (control).

A patient group is represented by the PatientGroup model. A PatientGroup model instance contains patients who are represented by PatientLog model instances.

Before a group is “ready” to randomize:

  • the group membership must meet the ratio of HIV, HTN, DM or multi-morbidity patients.

  • the group must meet the minimum group size.

  • all patients must be screened as eligible and consented

If “ready”, the patient group is randomized when the PatientGroup model instance saves succcessfully with field randomize_now set to YES.

Randomization occurs in the signal randomize_patient_group_on_post_save. The signal leaves most of the work to the class RandomizeGroup. RandomizeGroup calls it’s randomize method does the following:

  • The group is randomized to intervention or control;

  • PatientGroup model instance is allocated a group_identifier;

  • Each PatientGroup model instance in the group is updated with the group_identifier;

  • Each SubjectConsent model instance in the group is updated with the group_identifier (which triggers another signal associated with the subject consent. This signal puts the subject on schedule);

  • Each RegisteredSubject model instance in the group is updated with the group_identifier;

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

intecomm-edc-0.1.72.tar.gz (419.9 kB view details)

Uploaded Source

Built Distribution

intecomm_edc-0.1.72-py3-none-any.whl (720.0 kB view details)

Uploaded Python 3

File details

Details for the file intecomm-edc-0.1.72.tar.gz.

File metadata

  • Download URL: intecomm-edc-0.1.72.tar.gz
  • Upload date:
  • Size: 419.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for intecomm-edc-0.1.72.tar.gz
Algorithm Hash digest
SHA256 44b0f48cab6bf2043426c0b525366ea078003f0af883391e889ce7af0a9868d3
MD5 28fe9ff4dad9acc476b86d8dfe3172d6
BLAKE2b-256 68895d348769dcf1c3a56e6c5eaa824ef5023b9a927cc522f5fdf6a30bc474c5

See more details on using hashes here.

File details

Details for the file intecomm_edc-0.1.72-py3-none-any.whl.

File metadata

File hashes

Hashes for intecomm_edc-0.1.72-py3-none-any.whl
Algorithm Hash digest
SHA256 37470a1862ac6ac38e7622dccd5d99828faa7369f72d6642b6476f68b47e9dad
MD5 f7f1e5f58da4d3a8f0f27d688e60aed4
BLAKE2b-256 82f6e9ea20d3dd781a994f44a336e13517244a764f7dd13f49ff8b82b4c9b310

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page