Skip to main content

Base classes for visit reports/tracking in clinicedc/edc

Project description

pypi actions codecov downloads

edc-visit-schedule

Add longitudinal data collection schedules to your EDC project.

Installation

Add to settings:

INSTALLED_APPS = [
    ...
    'edc_visit_schedule.apps.AppConfig',
    ...
]

Overview

  • A Visit Schedule lives in your app in visit_schedules.py. Each app can declare and register one or more visit schedules in its visit_schedules module. Visit schedules are loaded when autodiscover is called from AppConfig.

  • A VisitSchedule contains Schedules which contain Visits which contain Crfs and Requisitions.

  • A schedule is effectively a “data collection schedule” where each contained visit represents a data collection timepoint.

  • A subject is put on a schedule by the schedule’s onschedule model and taken off by the schedule’s offschedule model. In the example below we use models OnSchedule and OffSchedule to do this for schedule schedule1.

Usage

First, create a file visit_schedules.py in the root of your app where the visit schedule code below will live.

Next, declare lists of data Crfs and laboratory Requisitions to be completed during each visit. For simplicity, we assume that every visit has the same data collection requirement (not usually the case).

from myapp.models import SubjectVisit, OnSchedule, OffSchedule, SubjectDeathReport, SubjectOffstudy

from edc_visit_schedule.site_visit_schedules import site_visit_schedules
from edc_visit_schedule.schedule import Schedule
from edc_visit_schedule.visit import Crf, Requisition, FormsCollection
from edc_visit_schedule.visit_schedule import VisitSchedule


crfs = FormsCollection(
    Crf(show_order=10, model='myapp.crfone'),
    Crf(show_order=20, model='myapp.crftwo'),
    Crf(show_order=30, model='myapp.crfthree'),
    Crf(show_order=40, model='myapp.crffour'),
    Crf(show_order=50, model='myapp.crffive'),
)

requisitions = FormsCollection(
    Requisition(
        show_order=10, model='myapp.subjectrequisition', panel_name='Research Blood Draw'),
    Requisition(
        show_order=20, model='myapp.subjectrequisition', panel_name='Viral Load'),
)

Create a new visit schedule:

visit_schedule = VisitSchedule(
    name='visit_schedule',
    verbose_name='My Visit Schedule',
    death_report_model=SubjectDeathReport,
    offstudy_model=SubjectOffstudy,
    visit_model=SubjectVisit)

Visit schedules contain Schedules so create a schedule:

schedule = Schedule(
    name='schedule',
    onschedule_model='myapp.onschedule',
    offschedule_model='myapp.offschedule')

Schedules contains visits, so declare some visits and add to the schedule:

visit0 = Visit(
    code='1000',
    title='Visit 1000',
    timepoint=0,
    rbase=relativedelta(days=0),
    requisitions=requisitions,
    crfs=crfs)

visit1 = Visit(
    code='2000',
    title='Visit 2000',
    timepoint=1,
    rbase=relativedelta(days=28),
    requisitions=requisitions,
    crfs=crfs)

schedule.add_visit(visit=visit0)
schedule.add_visit(visit=visit1)

Add the schedule to your visit schedule:

schedule = visit_schedule.add_schedule(schedule)

Register the visit schedule with the site registry:

visit_schedules.register(visit_schedule)

When Django loads, the visit schedule class will be available in the global site_visit_schedules.

The site_visit_schedules has a number of methods to help query the visit schedule and some related data.

Note: The schedule above was declared with onschedule_model=OnSchedule. An on-schedule model uses the CreateAppointmentsMixin from edc_appointment. On onschedule.save() the method onschedule.create_appointments is called. This method uses the visit schedule information to create the appointments as per the visit data in the schedule. See also edc_appointment.

OnSchedule and OffSchedule models

Two models mixins are required for the the on-schedule and off-schedule models, OnScheduleModelMixin and OffScheduleModelMixin. OnSchedule/OffSchedule models are specific to a schedule. The visit_schedule_name and schedule_name are declared on the model’s Meta class attribute visit_schedule_name.

For example:

class OnSchedule(OnScheduleModelMixin, BaseUuidModel):

    """A model used by the system. Auto-completed by subject_consent."""

    on_site = CurrentSiteManager()

    objects = SubjectIdentifierManager()

    history = HistoricalRecords()

    class Meta(OnScheduleModelMixin.Meta, BaseUuidModel.Meta):
        pass


class OffSchedule(ActionModelMixin, OffScheduleModelMixin, BaseUuidModel):

    action_name = OFFSCHEDULE_ACTION

    class Meta(OffScheduleModelMixin.Meta, BaseUuidModel.Meta):
        verbose_name = "Off-schedule"
        verbose_name_plural = "Off-schedule"

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

edc-visit-schedule-0.3.48.tar.gz (64.6 kB view details)

Uploaded Source

Built Distribution

edc_visit_schedule-0.3.48-py3-none-any.whl (89.8 kB view details)

Uploaded Python 3

File details

Details for the file edc-visit-schedule-0.3.48.tar.gz.

File metadata

  • Download URL: edc-visit-schedule-0.3.48.tar.gz
  • Upload date:
  • Size: 64.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.9

File hashes

Hashes for edc-visit-schedule-0.3.48.tar.gz
Algorithm Hash digest
SHA256 03e8f6e848595a9102b391b176d617768205fe178be892c28f124c1c39be3883
MD5 a2f794350b66f420e4736da88f562dfe
BLAKE2b-256 5d5a91235ab417b19670b23576a659451dd09b2cf472873b130d4bae22c0e57e

See more details on using hashes here.

File details

Details for the file edc_visit_schedule-0.3.48-py3-none-any.whl.

File metadata

File hashes

Hashes for edc_visit_schedule-0.3.48-py3-none-any.whl
Algorithm Hash digest
SHA256 c98cdfb99198d6b023447a0ac975cb4be5c7bef624a17bd67e9a5dbda9119689
MD5 3b91a790e216fe684b61af2fd3e66956
BLAKE2b-256 404d8754a26dfc69c079912aa053d6edc884f1f90a2c829ee0e4867de7333232

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