Source code for camcops_server.tasks.npiq

#!/usr/bin/env python

"""
camcops_server/tasks/npiq.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 typing import Any, Dict, List, Tuple, Type

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

from camcops_server.cc_modules.cc_constants import (
    CssClass,
    DATA_COLLECTION_UNLESS_UPGRADED_DIV,
    PV,
)
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_unknown, tr
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 (
    Task,
    TaskHasPatientMixin,
    TaskHasRespondentMixin,
)


# =============================================================================
# NPI-Q
# =============================================================================

ENDORSED = "endorsed"
SEVERITY = "severity"
DISTRESS = "distress"


class NpiQMetaclass(DeclarativeMeta):
    # noinspection PyInitNewSignature
    def __init__(
        cls: Type["NpiQ"],
        name: str,
        bases: Tuple[Type, ...],
        classdict: Dict[str, Any],
    ) -> None:
        question_snippets = [
            "delusions",  # 1
            "hallucinations",
            "agitation/aggression",
            "depression/dysphoria",
            "anxiety",  # 5
            "elation/euphoria",
            "apathy/indifference",
            "disinhibition",
            "irritability/lability",
            "motor disturbance",  # 10
            "night-time behaviour",
            "appetite/eating",
        ]
        add_multiple_columns(
            cls,
            ENDORSED,
            1,
            cls.NQUESTIONS,
            Boolean,
            pv=PV.BIT,
            comment_fmt="Q{n}, {s}, endorsed?",
            comment_strings=question_snippets,
        )
        add_multiple_columns(
            cls,
            SEVERITY,
            1,
            cls.NQUESTIONS,
            pv=list(range(1, 3 + 1)),
            comment_fmt="Q{n}, {s}, severity (1-3), if endorsed",
            comment_strings=question_snippets,
        )
        add_multiple_columns(
            cls,
            DISTRESS,
            1,
            cls.NQUESTIONS,
            pv=list(range(0, 5 + 1)),
            comment_fmt="Q{n}, {s}, distress (0-5), if endorsed",
            comment_strings=question_snippets,
        )
        super().__init__(name, bases, classdict)


[docs]class NpiQ( TaskHasPatientMixin, TaskHasRespondentMixin, Task, metaclass=NpiQMetaclass ): """ Server implementation of the NPI-Q task. """ __tablename__ = "npiq" shortname = "NPI-Q" NQUESTIONS = 12 ENDORSED_FIELDS = strseq(ENDORSED, 1, NQUESTIONS) MAX_SEVERITY = 3 * NQUESTIONS MAX_DISTRESS = 5 * NQUESTIONS
[docs] @staticmethod def longname(req: "CamcopsRequest") -> str: _ = req.gettext return _("Neuropsychiatric Inventory Questionnaire")
[docs] def get_summaries(self, req: CamcopsRequest) -> List[SummaryElement]: return self.standard_task_summary_fields() + [ SummaryElement( name="n_endorsed", coltype=Integer(), value=self.n_endorsed(), comment=f"Number endorsed (/ {self.NQUESTIONS})", ), SummaryElement( name="severity_score", coltype=Integer(), value=self.severity_score(), comment=f"Severity score (/ {self.MAX_SEVERITY})", ), SummaryElement( name="distress_score", coltype=Integer(), value=self.distress_score(), comment=f"Distress score (/ {self.MAX_DISTRESS})", ), ]
[docs] def get_clinical_text(self, req: CamcopsRequest) -> List[CtvInfo]: if not self.is_complete(): return CTV_INCOMPLETE return [ CtvInfo( content=( "Endorsed: {e}/{me}; severity {s}/{ms}; " "distress {d}/{md}".format( e=self.n_endorsed(), me=self.NQUESTIONS, s=self.severity_score(), ms=self.MAX_SEVERITY, d=self.distress_score(), md=self.MAX_DISTRESS, ) ) ) ]
def q_endorsed(self, q: int) -> bool: return bool(getattr(self, ENDORSED + str(q))) def n_endorsed(self) -> int: return self.count_booleans(self.ENDORSED_FIELDS) def severity_score(self) -> int: total = 0 for q in range(1, self.NQUESTIONS + 1): if self.q_endorsed(q): s = getattr(self, SEVERITY + str(q)) if s is not None: total += s return total def distress_score(self) -> int: total = 0 for q in range(1, self.NQUESTIONS + 1): if self.q_endorsed(q): d = getattr(self, DISTRESS + str(q)) if d is not None: total += d return total def q_complete(self, q: int) -> bool: qstr = str(q) endorsed = getattr(self, ENDORSED + qstr) if endorsed is None: return False if not endorsed: return True if getattr(self, SEVERITY + qstr) is None: return False if getattr(self, DISTRESS + qstr) is None: return False return True
[docs] def is_complete(self) -> bool: return ( self.is_respondent_complete() and all(self.q_complete(q) for q in range(1, self.NQUESTIONS + 1)) and self.field_contents_valid() )
[docs] def get_task_html(self, req: CamcopsRequest) -> str: h = f""" <div class="{CssClass.SUMMARY}"> <table class="{CssClass.SUMMARY}"> {self.get_is_complete_tr(req)} <tr> <td>Endorsed</td> <td>{self.n_endorsed()} / 12</td> </td> <tr> <td>Severity score</td> <td>{self.severity_score()} / 36</td> </td> <tr> <td>Distress score</td> <td>{self.distress_score()} / 60</td> </td> </table> </div> <table class="{CssClass.TASKDETAIL}"> <tr> <th width="40%">Question</th> <th width="20%">Endorsed</th> <th width="20%">Severity (patient)</th> <th width="20%">Distress (carer)</th> </tr> """ for q in range(1, self.NQUESTIONS + 1): qstr = str(q) e = getattr(self, ENDORSED + qstr) s = getattr(self, SEVERITY + qstr) d = getattr(self, DISTRESS + qstr) qtext = "<b>{}:</b> {}".format( self.wxstring(req, "t" + qstr), self.wxstring(req, "q" + qstr) ) etext = get_yes_no_unknown(req, e) if e: stext = self.wxstring( req, f"severity_{s}", s, provide_default_if_none=False ) dtext = self.wxstring( req, f"distress_{d}", d, provide_default_if_none=False ) else: stext = "" dtext = "" h += tr(qtext, answer(etext), answer(stext), answer(dtext)) h += f""" </table> {DATA_COLLECTION_UNLESS_UPGRADED_DIV} """ return h