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-0.1.53.tar.gz (376.0 kB view details)

Uploaded Source

Built Distribution

intecomm_edc-0.1.53-py3-none-any.whl (644.8 kB view details)

Uploaded Python 3

File details

Details for the file intecomm-edc-0.1.53.tar.gz.

File metadata

  • Download URL: intecomm-edc-0.1.53.tar.gz
  • Upload date:
  • Size: 376.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for intecomm-edc-0.1.53.tar.gz
Algorithm Hash digest
SHA256 0538facc30a9e5bf246eb20e9d126d8e8f658047ca6ec036baf2006e99c3f12a
MD5 9acc66e5fc503831d7a3d2dc0d534c95
BLAKE2b-256 e8016fb1f2af1971d055b2e23c9c40285dc9af032180a29faaef18b1dd700b20

See more details on using hashes here.

File details

Details for the file intecomm_edc-0.1.53-py3-none-any.whl.

File metadata

File hashes

Hashes for intecomm_edc-0.1.53-py3-none-any.whl
Algorithm Hash digest
SHA256 7af9f8e53b187eaff6358388ed0990fe0bb22c780a3321c062fe5e98ece72497
MD5 213e3be6c7eb28e2f06bef132c45e2de
BLAKE2b-256 1fdcf64859c07f06b65bc2cf13f7ac8f84412e5193790706e1100ef155eb8eff

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