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, CrfCollection, RequisitionCollection
from edc_visit_schedule.visit_schedule import VisitSchedule


crfs = CrfCollection(
    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 = RequisitionCollection(
    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."""

    objects = SubjectIdentifierManager()

    on_site = CurrentSiteManager()

    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-0.3.81.tar.gz (70.7 kB view details)

Uploaded Source

Built Distribution

edc_visit_schedule-0.3.81-py3-none-any.whl (101.1 kB view details)

Uploaded Python 3

File details

Details for the file edc-visit-schedule-0.3.81.tar.gz.

File metadata

  • Download URL: edc-visit-schedule-0.3.81.tar.gz
  • Upload date:
  • Size: 70.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for edc-visit-schedule-0.3.81.tar.gz
Algorithm Hash digest
SHA256 41e834d76d40a1f795159a36a42ed79cf15a56da477a501b5fc6a85ef7dd4d0e
MD5 0a25ac0e082192cf26637bf75b895c39
BLAKE2b-256 992a0254a5ea9702c51298c38cc65c4c7af0a834c7ba0d64bdf7069d0525c554

See more details on using hashes here.

File details

Details for the file edc_visit_schedule-0.3.81-py3-none-any.whl.

File metadata

File hashes

Hashes for edc_visit_schedule-0.3.81-py3-none-any.whl
Algorithm Hash digest
SHA256 34ed3132081c27b1255ff33b1bfa53625b913bbc8acc82d34ee785ba1b9d47ee
MD5 d92b221297a36f63f13dfea38edc9dd1
BLAKE2b-256 86d8493d80e4967aec6777d9714faacf1de920d71bfcd9550e29c735667ac84d

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