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-0.1.74.tar.gz (419.8 kB view details)

Uploaded Source

Built Distribution

intecomm_edc-0.1.74-py3-none-any.whl (720.0 kB view details)

Uploaded Python 3

File details

Details for the file intecomm-edc-0.1.74.tar.gz.

File metadata

  • Download URL: intecomm-edc-0.1.74.tar.gz
  • Upload date:
  • Size: 419.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for intecomm-edc-0.1.74.tar.gz
Algorithm Hash digest
SHA256 63b4c2ce9f902d8abdefd3513f6391e2f4b28ab8232265a603ef2f748b060d43
MD5 907988f413d9cca913b29336fdecb8cb
BLAKE2b-256 04cf7784fc4d4ddd3aa93655c050848873d371d8e214c21d9cf2a231b73b02f7

See more details on using hashes here.

File details

Details for the file intecomm_edc-0.1.74-py3-none-any.whl.

File metadata

File hashes

Hashes for intecomm_edc-0.1.74-py3-none-any.whl
Algorithm Hash digest
SHA256 8e7c65d07ff241fae8ac57a55ec469229dc4aaedabba8b2d7c86481eea84a8cf
MD5 aa7b0e4bf2e1e544d705913f8a1379df
BLAKE2b-256 3ac5ee7595dc868588422ba5640b0c9b6940a62b03be0180b2413cc4bea74e24

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