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

http://www.isrctn.com/ISRCTN15319595

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

Installation

… in development

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-0.1.23.tar.gz (297.1 kB view details)

Uploaded Source

Built Distribution

intecomm_edc-0.1.23-py3-none-any.whl (491.8 kB view details)

Uploaded Python 3

File details

Details for the file intecomm-edc-0.1.23.tar.gz.

File metadata

  • Download URL: intecomm-edc-0.1.23.tar.gz
  • Upload date:
  • Size: 297.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.6

File hashes

Hashes for intecomm-edc-0.1.23.tar.gz
Algorithm Hash digest
SHA256 77eeb5d22a99c4e42acce4bdc77443bd42d43e157ca91e2c92b327b59d656693
MD5 d67846da7203ff67e430b7e701ad65ce
BLAKE2b-256 8ce96153efc8fd5e9a93537fb418a06e020cdcb30887107ab01225024d6b69eb

See more details on using hashes here.

File details

Details for the file intecomm_edc-0.1.23-py3-none-any.whl.

File metadata

File hashes

Hashes for intecomm_edc-0.1.23-py3-none-any.whl
Algorithm Hash digest
SHA256 44f1fbdcb168318bac419a69d392d3d0c0df74391d01cef3e6efbb85fbb22a04
MD5 17d50adb127874dbefbd8548c8c619c0
BLAKE2b-256 a9cd3cbdb73b648c2ff9f1a762ad3cc2f8790e4c64541e68618edd21791287c8

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