Add classes for the Informed Consent form and process.
Declare the consent model:
class SubjectConsent(
ConsentModelMixin,
SiteModelMixin,
UpdatesOrCreatesRegistrationModelMixin,
NonUniqueSubjectIdentifierModelMixin,
IdentityFieldsMixin,
PersonalFieldsMixin,
SampleCollectionFieldsMixin,
ReviewFieldsMixin,
VulnerabilityFieldsMixin,
SearchSlugModelMixin,
BaseUuidModel,
):
"""A model completed by the user that captures the ICF."""
subject_identifier_cls = SubjectIdentifier
subject_screening_model = "edc_example.subjectscreening"
objects = ConsentObjectsManager()
on_site = CurrentSiteManager()
history = HistoricalRecords()
class Meta(ConsentModelMixin.Meta, BaseUuidModel.Meta):
pass
class SubjectConsentV1(SubjectConsent):
"""A proxy model completed by the user that captures version 1
of the ICF.
"""
objects = ConsentObjectsByCdefManager()
on_site = CurrentSiteByCdefManager()
history = HistoricalRecords()
class Meta:
proxy = True
verbose_name = "Consent V1"
verbose_name_plural = "Consent V1"
The next step is to declare and register a ConsentDefinition
. A consent definition is a class that represents an
approved Informed Consent. It is linked to a proxy of the consent model, for example SubjectConsent
from above,
using the class attribute
model
. We use a proxy model since over time each subject may need to submit more than one
version of the consent. Each version of a subject's consent is represented by an instance of the Each version is paird with a proxy model. The approved Informed Consent
also includes a validity period (start=datetime1 to end=datetime2) and a version number
(version=1). There are other attributes of a ConsentDefinition
to consider but lets focus
on the start
date, end
date, version
and model
for now.
ConsentDefinitions
are declared in the root of your app in module consents.py
. A typical declaration looks something like this:
from datetime import datetime
from zoneifo import ZoneInfo
from edc_consent.consent_definition import ConsentDefinition
from edc_consent.site_consents import site_consents
from edc_constants.constants import MALE, FEMALE
consent_v1 = ConsentDefinition(
'edc_example.subjectconsentv1',
version='1',
start=datetime(2013, 10, 15, tzinfo=ZoneInfo("UTC")),
end=datetime(2016, 10, 15, 23, 59, 999999, tzinfo=ZoneInfo("UTC")),
age_min=16,
age_is_adult=18,
age_max=64,
gender=[MALE, FEMALE])
site_consents.register(consent_v1)
add to settings:
INSTALLED_APPS = [
...
'edc_consent.apps.AppConfig',
...
]
On bootup site_consents
will autodiscover
the consents.py
and register the ConsentDefinition
.
To create an instance of the consent for a subject, find the ConsentDefinitions
and use
model_cls
.
cdef = site_consents.get_consent_definition(
report_datetime=datetime(2013, 10, 16, tzinfo=ZoneInfo("UTC"))
)
assert cdef.version == "1"
assert cdef.model == "edc_example.subjectconsentv1"
consent_obj = cdef.model_cls.objects.create(
subject_identifier="123456789",
consent_datetime=datetime(2013, 10, 16, tzinfo=ZoneInfo("UTC"),
...)
assert consent_obj.consent_version == "1"
assert consent_obj.consent_model == "edc_example.subjectconsentv1"
Add a second ConsentDefinition
to your consents.py
for version 2:
class SubjectConsentV2(SubjectConsent):
"""A proxy model completed by the user that captures version 2
of the ICF.
"""
objects = ConsentObjectsByCdefManager()
on_site = CurrentSiteByCdefManager()
history = HistoricalRecords()
class Meta:
proxy = True
verbose_name = "Consent V2"
verbose_name_plural = "Consent V2"
consent_v1 = ConsentDefinition(...)
consent_v2 = ConsentDefinition(
'edc_example.subjectconsentv2',
version='2',
start=datetime(2016, 10, 16, 0,0,0, tzinfo=ZoneInfo("UTC")),
end=datetime(2020, 10, 15, 23, 59, 999999, tzinfo=ZoneInfo("UTC")),
age_min=16,
age_is_adult=18,
age_max=64,
gender=[MALE, FEMALE])
site_consents.register(consent_v1)
site_consents.register(consent_v2)
cdef = site_consents.get_consent_definition(
report_datetime=datetime(2016, 10, 17, tzinfo=ZoneInfo("UTC"))
)
assert cdef.version == "2"
assert cdef.model == "edc_example.subjectconsentv2"
consent_obj = cdef.model_cls.objects.create(
subject_identifier="123456789",
consent_datetime=datetime(2016, 10, 17, tzinfo=ZoneInfo("UTC"),
...)
assert consent_obj.consent_version == "2"
assert consent_obj.consent_model == "edc_example.subjectconsentv2"
edc_consent
is coupled with edc_visit_schedule
. In fact, a data collection schedule is declared with one or more ConsentDefinitions
. CRFs and Requisitions listed in a schedule may only be submitted if the subject has consented.
schedule = Schedule(
name=SCHEDULE,
verbose_name="Day 1 to Month 6 Follow-up",
onschedule_model="effect_prn.onschedule",
offschedule_model="effect_prn.endofstudy",
consent_definitions=[consent_v1, consent_v2],
)
When a CRF is saved, the CRF model will check the schedule
to find the ConsentDefinition
with a validity period that contains the crf.report_datetime
. Using the located ConsentDefinitions
, the CRF model will confirm the subject has a saved subject_consent
with this consent_definition.version
.
The ConsentDefinitions above assume that consent version 1 is completed for a subject consenting on or before 2016/10/15 and version 2 for those consenting after 2016/10/15.
Sometimes when version 2 is introduced, those subjects who consented for version 1 need to update their version 1 consent to version 2. For example, a question may have been added in version 2 to allow a subject to opt-out of having their specimens put into longterm storage. The subjects who are already consented under version 1 need to indicate their preference as well by submitting a version 2 consent. (To make things simple, we would programatically carry-over and validate duplicate data from the subject's version 1 consent.)
To allow this, we would add update_versions
to the version 2 ConsentDefinition
.
consent_v1 = ConsentDefinition(
'edc_example.subjectconsentv1',
version='1', ...)
consent_v2 = ConsentDefinition(
'edc_example.subjectconsentv2',
version='2',
update_versions=[UpdateVersion(consent_v1.version, consent_v1.end)],
site_consents.register(consent_v1)
site_consents.register(consent_v2)
As the trial continues past 2016/10/15, there will three categories of subjects:
- Subjects who completed version 1 only
- Subjects who completed version 1 and version 2
- Subjects who completed version 2 only
If the report date is after 2016/10/15, data entry for "Subjects who completed version 1 only" will be blocked until the version 2 consent is submitted.
- base class for an informed consent document
- data for models that require consent cannot be add until the consent is added
- consents have a version number and validity period
- maximum number of consented subjects can be controlled.
- data collection is only allowed within the validity period of the consent per consented participant
- data for models that require consent are tagged with the consent version
- link subject type to the consent model. e.g. maternal, infant, adult, etc.
- version at model field level (e.g. a new consent period adds additional questions to a form)
- allow a different subject's consent to cover for another, for example mother and infant.
Declare the ModelForm:
class SubjectConsentForm(BaseConsentForm):
class Meta:
model = SubjectConsent
Now that you have a consent model class, declare the models that will require this consent:
class Questionnaire(RequiresConsentMixin, models.Model):
report_datetime = models.DateTimeField(default=timezone.now)
question1 = models.CharField(max_length=10)
question2 = models.CharField(max_length=10)
question3 = models.CharField(max_length=10)
@property
def subject_identifier(self):
"""Returns the subject identifier from ..."""
return subject_identifier
class Meta:
app_label = 'my_app'
verbose_name = 'My Questionnaire'
- report_datetime: a required field used to lookup the correct
ConsentDefinition
and to find, together withsubject_identifier
, a valid instance ofSubjectConsent
; - subject_identifier: a required field or may be a property that knows how to find the
subject_identifier
for the instance ofQuestionnaire
.
Once all is declared you need to:
- define the consent version and validity period for the consent version in
ConsentDefinition
; - add a Quota for the consent model.
As subjects are identified:
- add a consent
- add the models (e.g.
Questionnaire
)
If a consent version cannot be found given the consent model class and report_datetime a ConsentDefinitionError
is raised.
If a consent for this subject_identifier cannot be found that matches the ConsentDefinition
a NotConsentedError
is raised.
A participant may consent to the study but not agree to have specimens stored long term. A specimen consent is administered separately to clarify the participant's intention.
The specimen consent is declared using the base class BaseSpecimenConsent
. This is an abridged version of BaseConsent
. The specimen consent also uses the RequiresConsentMixin
as it cannot stand alone as an ICF. The RequiresConsentMixin
ensures the specimen consent is administered after the main study ICF, in this case MyStudyConsent
.
A specimen consent is declared in your app like this:
class SpecimenConsent(
BaseSpecimenConsent, SampleCollectionFieldsMixin, RequiresConsentMixin,
VulnerabilityFieldsMixin, AppointmentMixin, BaseUuidModel
):
consent_model = MyStudyConsent
registered_subject = models.OneToOneField(RegisteredSubject, null=True)
objects = models.Manager()
history = AuditTrail()
class Meta:
app_label = 'my_app'
verbose_name = 'Specimen Consent'
The ConsentAgeValidator
validates the date of birth to within a given age range, for example:
from edc_consent.validtors import ConsentAgeValidator
class MyConsent(ConsentQuotaMixin, BaseConsent):
dob = models.DateField(
validators=[ConsentAgeValidator(16, 64)])
quota = QuotaManager()
class Meta:
app_label = 'my_app'
The PersonalFieldsMixin
includes a date of birth field and you can set the age bounds like this:
from edc_consent.validtors import ConsentAgeValidator
from edc_consent.models.fields import PersonalFieldsMixin
class MyConsent(ConsentQuotaMixin, PersonalFieldsMixin, BaseConsent):
quota = QuotaManager()
MIN_AGE_OF_CONSENT = 18
MAX_AGE_OF_CONSENT = 64
class Meta:
app_label = 'my_app'
All model data is tagged with the consent version identified in ConsentDefinition
for the consent model class and report_datetime.
The consent model is unique on subject_identifier, identity and version. If a new consent version is added to ConsentDefinition
, a new consent will be required for each subject as data is reported within the validity period of the new consent.
Some care must be taken to ensure that the consent model is queried with an understanding of the unique constraint.
TODO
TODO
By adding the property consenting_subject_identifier
to the consent
If patient names need to be removed from the data collection, there are a few helper attributes and methods to consider.
settings.EDC_CONSENT_REMOVE_PATIENT_NAMES_FROM_COUNTRIES: list[str]
If given a list of country names, name fields will be removed from any admin.fieldset.
See also edc_sites.all_sites
ConsentModelAdminMixin.get_fieldsets
def get_fieldsets(self, request, obj=None):
fieldsets = super().get_fieldsets(request, obj)
for country in get_remove_patient_names_from_countries():
site = getattr(request, "site", None)
if site and site.id in [s.site_id for s in self.all_sites.get(country)]:
return self.fieldsets_without_names(fieldsets)
return fieldsets
This method could be added to any ModeLadmin with names.
using
Timepoint
model update insave
method of models requiring consent- handle added or removed model fields (questions) because of consent version change
- review verification actions
- management command to update version on models that require consent (if edc_consent added after instances were created)
- handle re-consenting issues, for example, if original consent was restricted by age (16-64) but the re-consent is not. May need to open upper bound.