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-0.1.42.tar.gz (345.9 kB view details)

Uploaded Source

Built Distribution

intecomm_edc-0.1.42-py3-none-any.whl (577.8 kB view details)

Uploaded Python 3

File details

Details for the file intecomm-edc-0.1.42.tar.gz.

File metadata

  • Download URL: intecomm-edc-0.1.42.tar.gz
  • Upload date:
  • Size: 345.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for intecomm-edc-0.1.42.tar.gz
Algorithm Hash digest
SHA256 ba241f6929114a765f4d31ddc190dcc058520431deaf67b2a73ca6b2c2726943
MD5 a2f25424a1dbeb2fb9b7b710a89106cc
BLAKE2b-256 d4101732a023aae7684c51d1cced62357a1e4f0a108313e684ee9117f391c619

See more details on using hashes here.

File details

Details for the file intecomm_edc-0.1.42-py3-none-any.whl.

File metadata

File hashes

Hashes for intecomm_edc-0.1.42-py3-none-any.whl
Algorithm Hash digest
SHA256 7931650405e241078106b56dbe82cef848605b8d7c6d54c8c1504bbd03b91b0a
MD5 3dcef555fa13591d8b24d2ae9a87598e
BLAKE2b-256 df5811bd4cb586563331a341fadcdaadc66c58aedb3de48eda395c70840cb464

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