Source code for camcops_server.tasks.pcl5

#!/usr/bin/env python

"""
camcops_server/tasks/pcl5.py

===============================================================================

    Copyright (C) 2012-2019 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.classes import classproperty
from cardinal_pythonlib.stringfunc import strseq
from semantic_version import Version
from sqlalchemy.ext.declarative import DeclarativeMeta
from sqlalchemy.sql.sqltypes import Boolean, Integer

from camcops_server.cc_modules.cc_constants import CssClass
from camcops_server.cc_modules.cc_ctvinfo import CtvInfo, CTV_INCOMPLETE
from camcops_server.cc_modules.cc_db import add_multiple_columns
from camcops_server.cc_modules.cc_html import (
    answer, get_yes_no, subheading_spanning_two_columns, tr, tr_qa
)
from camcops_server.cc_modules.cc_request import CamcopsRequest

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_text import SS
from camcops_server.cc_modules.cc_trackerhelpers import (
    equally_spaced_int,
    regular_tracker_axis_ticks_int,
    TrackerInfo,
    TrackerLabel,
)


# =============================================================================
# PCL-5
# =============================================================================

[docs]class Pcl5Metaclass(DeclarativeMeta): """ There is a multilayer metaclass problem; see hads.py for discussion. """ # noinspection PyInitNewSignature def __init__(cls: Type['Pcl5'], name: str, bases: Tuple[Type, ...], classdict: Dict[str, Any]) -> None: add_multiple_columns( cls, "q", 1, cls.N_QUESTIONS, minimum=0, maximum=4, comment_fmt="Q{n} ({s}) (0 not at all - 4 extremely)", comment_strings=[ "disturbing memories/thoughts/images", "disturbing dreams", "reliving", "upset at reminders", "physical reactions to reminders", "avoid thinking/talking/feelings relating to experience", "avoid activities/situations because they remind", "trouble remembering important parts of stressful event", "strong negative beliefs about self/others/world", "blaming", "strong negative emotions", "loss of interest in previously enjoyed activities", "feeling distant / cut off from people", "feeling emotionally numb", "irritable, angry and/or aggressive", "risk-taking and/or self-harming behaviour", "super alert/on guard", "jumpy/easily startled", "difficulty concentrating", "hard to sleep", ] ) super().__init__(name, bases, classdict)
[docs]class Pcl5(TaskHasPatientMixin, Task, metaclass=Pcl5Metaclass): """ Server implementation of the PCL-5 task. """ __tablename__ = 'pcl5' shortname = 'PCL-5' provides_trackers = True extrastring_taskname = "pcl5" N_QUESTIONS = 20 SCORED_FIELDS = strseq("q", 1, N_QUESTIONS) TASK_FIELDS = SCORED_FIELDS # may be overridden MIN_SCORE = 0 MAX_SCORE = 4 * N_QUESTIONS
[docs] @staticmethod def longname(req: "CamcopsRequest") -> str: _ = req.gettext return _('PTSD Checklist, DSM-5 version')
# noinspection PyMethodParameters @classproperty def minimum_client_version(cls) -> Version: return Version("2.2.8")
[docs] def is_complete(self) -> bool: return ( self.all_fields_not_none(self.TASK_FIELDS) and self.field_contents_valid() )
def total_score(self) -> int: return self.sum_fields(self.SCORED_FIELDS)
[docs] def get_trackers(self, req: CamcopsRequest) -> List[TrackerInfo]: line_step = 20 preliminary_cutoff = 33 return [TrackerInfo( value=self.total_score(), plot_label="PCL-5 total score", axis_label=f"Total score ({self.MIN_SCORE}-{self.MAX_SCORE})", axis_min=self.MIN_SCORE - 0.5, axis_max=self.MAX_SCORE + 0.5, axis_ticks=regular_tracker_axis_ticks_int( self.MIN_SCORE, self.MAX_SCORE, step=line_step ), horizontal_lines=equally_spaced_int( self.MIN_SCORE + line_step, self.MAX_SCORE - line_step, step=line_step ) + [preliminary_cutoff], horizontal_labels=[ TrackerLabel(preliminary_cutoff, self.wxstring(req, "preliminary_cutoff")), ] )]
[docs] def get_clinical_text(self, req: CamcopsRequest) -> List[CtvInfo]: if not self.is_complete(): return CTV_INCOMPLETE return [CtvInfo( content=f"PCL-5 total score {self.total_score()}" )]
[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=f"Total score ({self.MIN_SCORE}-{self.MAX_SCORE})"), SummaryElement( name="num_symptomatic", coltype=Integer(), value=self.num_symptomatic(), comment="Total number of symptoms considered symptomatic " "(meaning scoring 2 or more)"), SummaryElement( name="num_symptomatic_B", coltype=Integer(), value=self.num_symptomatic_b(), comment="Number of group B symptoms considered symptomatic " "(meaning scoring 2 or more)"), SummaryElement( name="num_symptomatic_C", coltype=Integer(), value=self.num_symptomatic_c(), comment="Number of group C symptoms considered symptomatic " "(meaning scoring 2 or more)"), SummaryElement( name="num_symptomatic_D", coltype=Integer(), value=self.num_symptomatic_d(), comment="Number of group D symptoms considered symptomatic " "(meaning scoring 2 or more)"), SummaryElement( name="num_symptomatic_E", coltype=Integer(), value=self.num_symptomatic_e(), comment="Number of group D symptoms considered symptomatic " "(meaning scoring 2 or more)"), SummaryElement( name="ptsd", coltype=Boolean(), value=self.ptsd(), comment="Provisionally meets DSM-5 criteria for PTSD"), ]
def get_num_symptomatic(self, first: int, last: int) -> int: n = 0 for i in range(first, last + 1): value = getattr(self, "q" + str(i)) if value is not None and value >= 2: n += 1 return n def num_symptomatic(self) -> int: return self.get_num_symptomatic(1, self.N_QUESTIONS) def num_symptomatic_b(self) -> int: return self.get_num_symptomatic(1, 5) def num_symptomatic_c(self) -> int: return self.get_num_symptomatic(6, 7) def num_symptomatic_d(self) -> int: return self.get_num_symptomatic(8, 14) def num_symptomatic_e(self) -> int: return self.get_num_symptomatic(15, 20) def ptsd(self) -> bool: num_symptomatic_b = self.num_symptomatic_b() num_symptomatic_c = self.num_symptomatic_c() num_symptomatic_d = self.num_symptomatic_d() num_symptomatic_e = self.num_symptomatic_e() return ( num_symptomatic_b >= 1 and num_symptomatic_c >= 1 and num_symptomatic_d >= 2 and num_symptomatic_e >= 2 )
[docs] def get_task_html(self, req: CamcopsRequest) -> str: score = self.total_score() num_symptomatic = self.num_symptomatic() num_symptomatic_b = self.num_symptomatic_b() num_symptomatic_c = self.num_symptomatic_c() num_symptomatic_d = self.num_symptomatic_d() num_symptomatic_e = self.num_symptomatic_e() ptsd = self.ptsd() answer_dict = {None: None} for option in range(5): answer_dict[option] = str(option) + " – " + \ self.wxstring(req, "a" + str(option)) q_a = "" section_start = { 1: 'B (intrusion symptoms)', 6: 'C (avoidance)', 8: 'D (negative cognition/mood)', 15: 'E (arousal/reactivity)' } for q in range(1, self.N_QUESTIONS + 1): if q in section_start: section = section_start[q] q_a += subheading_spanning_two_columns( f"DSM-5 section {section}" ) q_a += tr_qa( self.wxstring(req, "q" + str(q) + "_s"), get_from_dict(answer_dict, getattr(self, "q" + str(q))) ) h = """ <div class="{CssClass.SUMMARY}"> <table class="{CssClass.SUMMARY}"> {tr_is_complete} {total_score} {num_symptomatic} {dsm_criteria_met} </table> </div> <table class="{CssClass.TASKDETAIL}"> <tr> <th width="70%">Question</th> <th width="30%">Answer</th> </tr> {q_a} </table> <div class="{CssClass.FOOTNOTES}"> [1] Questions with scores ≥2 are considered symptomatic; see https://www.ptsd.va.gov/professional/assessment/adult-sr/ptsd-checklist.asp [2] ≥1 ‘B’ symptoms and ≥1 ‘C’ symptoms and ≥2 ‘D’ symptoms and ≥2 ‘E’ symptoms. </div> """.format( # noqa CssClass=CssClass, tr_is_complete=self.get_is_complete_tr(req), total_score=tr_qa( f"{req.sstring(SS.TOTAL_SCORE)} (0–80)", score ), num_symptomatic=tr( "Number symptomatic <sup>[1]</sup>: B, C, D, E (total)", answer(num_symptomatic_b) + ", " + answer(num_symptomatic_c) + ", " + answer(num_symptomatic_d) + ", " + answer(num_symptomatic_e) + " (" + answer(num_symptomatic) + ")" # noqa ), dsm_criteria_met=tr_qa( self.wxstring(req, "dsm_criteria_met") + " <sup>[2]</sup>", get_yes_no(req, ptsd) ), q_a=q_a, ) return h