#!/usr/bin/env python
# camcops_server/tasks/gad7.py
"""
===============================================================================
Copyright (C) 2012-2018 Rudolf Cardinal (rudolf@pobox.com).
This file is part of CamCOPS.
CamCOPS is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
CamCOPS is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with CamCOPS. If not, see <http://www.gnu.org/licenses/>.
===============================================================================
"""
from typing import Any, Dict, List, Tuple, Type
from cardinal_pythonlib.stringfunc import strseq
from sqlalchemy.ext.declarative import DeclarativeMeta
from sqlalchemy.sql.sqltypes import Integer
from camcops_server.cc_modules.cc_constants import CssClass
from camcops_server.cc_modules.cc_ctvinfo import CTV_INCOMPLETE, CtvInfo
from camcops_server.cc_modules.cc_db import add_multiple_columns
from camcops_server.cc_modules.cc_html import answer, tr, tr_qa
from camcops_server.cc_modules.cc_request import CamcopsRequest
from camcops_server.cc_modules.cc_sqla_coltypes import SummaryCategoryColType
from camcops_server.cc_modules.cc_summaryelement import SummaryElement
from camcops_server.cc_modules.cc_task import (
get_from_dict,
Task,
TaskHasPatientMixin,
)
from camcops_server.cc_modules.cc_trackerhelpers import (
TrackerInfo,
TrackerLabel,
)
# =============================================================================
# GAD-7
# =============================================================================
class Gad7Metaclass(DeclarativeMeta):
# noinspection PyInitNewSignature
def __init__(cls: Type['Gad7'],
name: str,
bases: Tuple[Type, ...],
classdict: Dict[str, Any]) -> None:
add_multiple_columns(
cls, "q", 1, cls.NQUESTIONS,
minimum=0, maximum=3,
comment_fmt="Q{n}, {s} (0 not at all - 3 nearly every day)",
comment_strings=[
"nervous/anxious/on edge",
"can't stop/control worrying",
"worrying too much about different things",
"trouble relaxing",
"restless",
"irritable",
"afraid"
]
)
super().__init__(name, bases, classdict)
[docs]class Gad7(TaskHasPatientMixin, Task,
metaclass=Gad7Metaclass):
__tablename__ = "gad7"
shortname = "GAD-7"
longname = "Generalized Anxiety Disorder Assessment"
provides_trackers = True
NQUESTIONS = 7
TASK_FIELDS = strseq("q", 1, NQUESTIONS)
MAX_SCORE = 21
[docs] def get_trackers(self, req: CamcopsRequest) -> List[TrackerInfo]:
return [TrackerInfo(
value=self.total_score(),
plot_label="GAD-7 total score",
axis_label="Total score (out of 21)",
axis_min=-0.5,
axis_max=self.MAX_SCORE + 0.5,
horizontal_lines=[14.5, 9.5, 4.5],
horizontal_labels=[
TrackerLabel(17, req.wappstring("severe")),
TrackerLabel(12, req.wappstring("moderate")),
TrackerLabel(7, req.wappstring("mild")),
TrackerLabel(2.25, req.wappstring("none")),
]
)]
[docs] def get_clinical_text(self, req: CamcopsRequest) -> List[CtvInfo]:
if not self.is_complete():
return CTV_INCOMPLETE
return [CtvInfo(
content="GAD-7 total score {}/{} ({})".format(
self.total_score(), self.MAX_SCORE, self.severity(req))
)]
[docs] def get_summaries(self, req: CamcopsRequest) -> List[SummaryElement]:
return self.standard_task_summary_fields() + [
SummaryElement(name="total",
coltype=Integer(),
value=self.total_score(),
comment="Total score (/{})".format(self.MAX_SCORE)),
SummaryElement(name="severity",
coltype=SummaryCategoryColType,
value=self.severity(req),
comment="Severity"),
]
[docs] def is_complete(self) -> bool:
return (
self.are_all_fields_complete(self.TASK_FIELDS) and
self.field_contents_valid()
)
def total_score(self) -> int:
return self.sum_fields(self.TASK_FIELDS)
def severity(self, req: CamcopsRequest) -> str:
score = self.total_score()
if score >= 15:
severity = req.wappstring("severe")
elif score >= 10:
severity = req.wappstring("moderate")
elif score >= 5:
severity = req.wappstring("mild")
else:
severity = req.wappstring("none")
return severity
[docs] def get_task_html(self, req: CamcopsRequest) -> str:
score = self.total_score()
severity = self.severity(req)
answer_dict = {None: None}
for option in range(0, 4):
answer_dict[option] = (
str(option) + " — " + self.wxstring(req, "a" + str(option))
)
q_a = ""
for q in range(1, self.NQUESTIONS + 1):
q_a += tr_qa(
self.wxstring(req, "q" + str(q)),
get_from_dict(answer_dict, getattr(self, "q" + str(q)))
)
h = """
<div class="{CssClass.SUMMARY}">
<table class="{CssClass.SUMMARY}">
{tr_is_complete}
{total_score}
{anxiety_severity}
</table>
</div>
<div class="{CssClass.EXPLANATION}">
Ratings are over the last 2 weeks.
</div>
<table class="{CssClass.TASKDETAIL}">
<tr>
<th width="50%">Question</th>
<th width="50%">Answer</th>
</tr>
{q_a}
</table>
<div class="{CssClass.FOOTNOTES}">
[1] ≥15 severe, ≥10 moderate, ≥5 mild.
Score ≥10 identifies: generalized anxiety disorder with
sensitivity 89%, specificity 82% (Spitzer et al. 2006, PubMed
ID 16717171);
panic disorder with sensitivity 74%, specificity 81% (Kroenke
et al. 2010, PMID 20633738);
social anxiety with sensitivity 72%, specificity 80% (Kroenke
et al. 2010);
post-traumatic stress disorder with sensitivity 66%,
specificity 81% (Kroenke et al. 2010).
The majority of evidence contributing to these figures comes
from primary care screening studies.
</div>
""".format(
CssClass=CssClass,
tr_is_complete=self.get_is_complete_tr(req),
total_score=tr(
req.wappstring("total_score"),
answer(score) + " / {}".format(self.MAX_SCORE)
),
anxiety_severity=tr(
self.wxstring(req, "anxiety_severity") + " <sup>[1]</sup>",
severity
),
q_a=q_a,
)
return h