Source code for camcops_server.tasks.pcl

#!/usr/bin/env python

"""
camcops_server/tasks/pcl.py

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

    Copyright (C) 2012, University of Cambridge, Department of Psychiatry.
    Created by Rudolf Cardinal (rnc1001@cam.ac.uk).

    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 <https://www.gnu.org/licenses/>.

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

"""

from abc import ABCMeta, ABC
from typing import Any, Dict, List, Tuple, Type

from cardinal_pythonlib.stringfunc import strseq
from sqlalchemy.ext.declarative import DeclarativeMeta
from sqlalchemy.sql.schema import Column
from sqlalchemy.sql.sqltypes import Boolean, Integer, UnicodeText

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,
    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 TrackerInfo


# =============================================================================
# PCL
# =============================================================================


[docs]class PclMetaclass(DeclarativeMeta, ABCMeta): """ There is a multilayer metaclass problem; see hads.py for discussion. """ # noinspection PyInitNewSignature
[docs] def __init__( cls: Type["PclCommon"], name: str, bases: Tuple[Type, ...], classdict: Dict[str, Any], ) -> None: add_multiple_columns( cls, "q", 1, cls.NQUESTIONS, minimum=1, maximum=5, comment_fmt="Q{n} ({s}) (1 not at all - 5 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", "loss of interest in previously enjoyed activities", "feeling distant/cut off from people", "feeling emotionally numb", "feeling future will be cut short", "hard to sleep", "irritable", "difficulty concentrating", "super alert/on guard", "jumpy/easily startled", ], ) super().__init__(name, bases, classdict)
[docs]class PclCommon(TaskHasPatientMixin, Task, ABC, metaclass=PclMetaclass): __abstract__ = True provides_trackers = True extrastring_taskname = "pcl" info_filename_stem = extrastring_taskname NQUESTIONS = 17 SCORED_FIELDS = strseq("q", 1, NQUESTIONS) TASK_FIELDS = SCORED_FIELDS # may be overridden TASK_TYPE = "?" # will be overridden # ... not really used; we display the generic question forms on the server MIN_SCORE = NQUESTIONS MAX_SCORE = 5 * NQUESTIONS
[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]: return [ TrackerInfo( value=self.total_score(), plot_label="PCL 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, ) ]
[docs] def get_clinical_text(self, req: CamcopsRequest) -> List[CtvInfo]: if not self.is_complete(): return CTV_INCOMPLETE return [CtvInfo(content=f"PCL 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 3 or more)", ), SummaryElement( name="num_symptomatic_B", coltype=Integer(), value=self.num_symptomatic_b(), comment="Number of group B symptoms considered symptomatic " "(meaning scoring 3 or more)", ), SummaryElement( name="num_symptomatic_C", coltype=Integer(), value=self.num_symptomatic_c(), comment="Number of group C symptoms considered symptomatic " "(meaning scoring 3 or more)", ), SummaryElement( name="num_symptomatic_D", coltype=Integer(), value=self.num_symptomatic_d(), comment="Number of group D symptoms considered symptomatic " "(meaning scoring 3 or more)", ), SummaryElement( name="ptsd", coltype=Boolean(), value=self.ptsd(), comment="Meets DSM-IV 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 >= 3: n += 1 return n def num_symptomatic(self) -> int: return self.get_num_symptomatic(1, self.NQUESTIONS) 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, 12) def num_symptomatic_d(self) -> int: return self.get_num_symptomatic(13, 17) 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() return ( num_symptomatic_b >= 1 and num_symptomatic_c >= 3 and num_symptomatic_d >= 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() ptsd = self.ptsd() answer_dict = {None: None} for option in range(1, 6): answer_dict[option] = ( str(option) + " – " + self.wxstring(req, "option" + str(option)) ) q_a = "" if hasattr(self, "event") and hasattr(self, "eventdate"): # PCL-S q_a += tr_qa(self.wxstring(req, "s_event_s"), self.event) q_a += tr_qa(self.wxstring(req, "s_eventdate_s"), self.eventdate) for q in range(1, self.NQUESTIONS + 1): if q == 1 or q == 6 or q == 13: section = "B" if q == 1 else ("C" if q == 6 else "D") q_a += subheading_spanning_two_columns( f"DSM-IV-TR 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 ≥3 are considered symptomatic. [2] ≥1 ‘B’ symptoms and ≥3 ‘C’ symptoms and ≥2 ‘D’ symptoms. </div> """.format( CssClass=CssClass, tr_is_complete=self.get_is_complete_tr(req), total_score=tr_qa(f"{req.sstring(SS.TOTAL_SCORE)} (17–85)", score), num_symptomatic=tr( "Number symptomatic <sup>[1]</sup>: B, C, D (total)", answer(num_symptomatic_b) + ", " + answer(num_symptomatic_c) + ", " + answer(num_symptomatic_d) + " (" + answer(num_symptomatic) + ")", ), 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
# ============================================================================= # PCL-C # =============================================================================
[docs]class PclC(PclCommon, metaclass=PclMetaclass): """ Server implementation of the PCL-C task. """ __tablename__ = "pclc" shortname = "PCL-C" TASK_TYPE = "C"
[docs] @staticmethod def longname(req: "CamcopsRequest") -> str: _ = req.gettext return _("PTSD Checklist, Civilian version")
# ============================================================================= # PCL-M # =============================================================================
[docs]class PclM(PclCommon, metaclass=PclMetaclass): """ Server implementation of the PCL-M task. """ __tablename__ = "pclm" shortname = "PCL-M" TASK_TYPE = "M"
[docs] @staticmethod def longname(req: "CamcopsRequest") -> str: _ = req.gettext return _("PTSD Checklist, Military version")
# ============================================================================= # PCL-S # =============================================================================
[docs]class PclS(PclCommon, metaclass=PclMetaclass): """ Server implementation of the PCL-S task. """ __tablename__ = "pcls" shortname = "PCL-S" event = Column("event", UnicodeText, comment="Traumatic event") eventdate = Column( "eventdate", UnicodeText, comment="Date of traumatic event (free text)" ) TASK_FIELDS = PclCommon.SCORED_FIELDS + ["event", "eventdate"] TASK_TYPE = "S"
[docs] @staticmethod def longname(req: "CamcopsRequest") -> str: _ = req.gettext return _("PTSD Checklist, Stressor-specific version")