|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 5.1 / python 3.12
* ClinicEDC (see setup.cfg for version)
* We run LIVE and UAT on Ubuntu with nginx/gunicorn/mysql 8.1
Basic install
-------------
.. code-block:: bash
conda create -n edc python=3.12
conda activate edc
git clone https://github.com/intecomm-trial/intecomm-edc.git ~/apps
cd ~/apps
pip install -U .
python manage.py migrate --settings=intecomm_edc.settings.live # or uat
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``;
.. |pypi| image:: https://img.shields.io/pypi/v/intecomm-edc.svg
:target: https://pypi.python.org/pypi/intecomm-edc
.. |actions| image:: https://github.com/intecomm-trial/intecomm-edc/actions/workflows/build.yml/badge.svg
:target: https://github.com/intecomm-trial/intecomm-edc/actions/workflows/build.yml
.. |codecov| image:: https://codecov.io/gh/intecomm-trial/intecomm-edc/branch/develop/graph/badge.svg
:target: https://codecov.io/gh/intecomm-trial/intecomm-edc
.. |downloads| image:: https://pepy.tech/badge/intecomm-edc
:target: https://pepy.tech/project/intecomm-edc
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"description": "|pypi| |actions| |codecov| |downloads|\n\nintecomm-edc\n------------\nControlling 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)\n\nLiverpool School of Tropical Medicine\n\nUniversity College London (UCL)\n\nhttp://www.isrctn.com/ISRCTN15319595\n\nSee also https://github.com/clinicedc/edc\n\n* Django 5.1 / python 3.12\n* ClinicEDC (see setup.cfg for version)\n* We run LIVE and UAT on Ubuntu with nginx/gunicorn/mysql 8.1\n\nBasic install\n-------------\n.. code-block:: bash\n\n conda create -n edc python=3.12\n conda activate edc\n git clone https://github.com/intecomm-trial/intecomm-edc.git ~/apps\n cd ~/apps\n pip install -U .\n python manage.py migrate --settings=intecomm_edc.settings.live # or uat\n\nRandomization\n-------------\nGroups of patients are randomized to community integrated care (intervention) or facility integrated care (control).\n\nA patient group is represented by the ``PatientGroup`` model. A ``PatientGroup`` model instance contains patients who are represented by ``PatientLog`` model instances.\n\nBefore a group is \"ready\" to randomize:\n\n* the group membership must meet the ratio of HIV, HTN, DM or multi-morbidity patients.\n* the group must meet the minimum group size.\n* all patients must be screened as eligible and consented\n\nIf \"ready\", the patient group is randomized when the ``PatientGroup`` model instance saves succcessfully\nwith field ``randomize_now`` set to YES.\n\nRandomization occurs in the signal ``randomize_patient_group_on_post_save``. The signal\nleaves most of the work to the class ``RandomizeGroup``. ``RandomizeGroup`` calls it's ``randomize`` method does the following:\n\n* The group is randomized to intervention or control;\n* ``PatientGroup`` model instance is allocated a ``group_identifier``;\n* Each ``PatientGroup`` model instance in the group is updated with the ``group_identifier``;\n* 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);\n* Each ``RegisteredSubject`` model instance in the group is updated with the ``group_identifier``;\n\n\n.. |pypi| image:: https://img.shields.io/pypi/v/intecomm-edc.svg\n :target: https://pypi.python.org/pypi/intecomm-edc\n\n.. |actions| image:: https://github.com/intecomm-trial/intecomm-edc/actions/workflows/build.yml/badge.svg\n :target: https://github.com/intecomm-trial/intecomm-edc/actions/workflows/build.yml\n\n.. |codecov| image:: https://codecov.io/gh/intecomm-trial/intecomm-edc/branch/develop/graph/badge.svg\n :target: https://codecov.io/gh/intecomm-trial/intecomm-edc\n\n.. |downloads| image:: https://pepy.tech/badge/intecomm-edc\n :target: https://pepy.tech/project/intecomm-edc\n",
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