Source code for camcops_server.tasks.honos

"""
camcops_server/tasks/honos.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, Optional, 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 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,
    subheading_spanning_two_columns,
    tr,
    tr_qa,
)
from camcops_server.cc_modules.cc_request import CamcopsRequest
from camcops_server.cc_modules.cc_snomed import SnomedExpression, SnomedLookup
from camcops_server.cc_modules.cc_sqla_coltypes import (
    CamcopsColumn,
    CharColType,
    PermittedValueChecker,
)
from camcops_server.cc_modules.cc_summaryelement import SummaryElement
from camcops_server.cc_modules.cc_task import (
    get_from_dict,
    Task,
    TaskHasClinicianMixin,
    TaskHasPatientMixin,
)
from camcops_server.cc_modules.cc_text import SS
from camcops_server.cc_modules.cc_trackerhelpers import TrackerInfo


PV_MAIN = [0, 1, 2, 3, 4, 9]
PV_PROBLEMTYPE = ["A", "B", "C", "D", "E", "F", "G", "H", "I", "J"]

FOOTNOTE_SCORING = """
    [1] 0 = no problem;
    1 = minor problem requiring no action;
    2 = mild problem but definitely present;
    3 = moderately severe problem;
    4 = severe to very severe problem;
    9 = not known.
"""


# =============================================================================
# HoNOS abstract base class
# =============================================================================


# noinspection PyAbstractClass
[docs]class HonosBase(TaskHasPatientMixin, TaskHasClinicianMixin, Task): __abstract__ = True provides_trackers = True period_rated = Column( "period_rated", UnicodeText, comment="Period being rated" ) COPYRIGHT_DIV = f""" <div class="{CssClass.COPYRIGHT}"> Health of the Nation Outcome Scales: Copyright © Royal College of Psychiatrists. Used here with permission. </div> """ QFIELDS = None # type: List[str] # must be overridden MAX_SCORE = None # type: int # must be overridden
[docs] def get_trackers(self, req: CamcopsRequest) -> List[TrackerInfo]: return [ TrackerInfo( value=self.total_score(), plot_label=f"{self.shortname} total score", axis_label=f"Total score (out of {self.MAX_SCORE})", axis_min=-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"{self.shortname} total score " f"{self.total_score()}/{self.MAX_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.MAX_SCORE})", ) ]
def _total_score_for_fields(self, fieldnames: List[str]) -> int: total = 0 for qname in fieldnames: value = getattr(self, qname) if value is not None and 0 <= value <= 4: # i.e. ignore null values and 9 (= not known) total += value return total def total_score(self) -> int: return self._total_score_for_fields(self.QFIELDS) def get_q(self, req: CamcopsRequest, q: int) -> str: return self.wxstring(req, "q" + str(q) + "_s") def get_answer(self, req: CamcopsRequest, q: int, a: int) -> Optional[str]: if a == 9: return self.wxstring(req, "option9") if a is None or a < 0 or a > 4: return None return self.wxstring(req, "q" + str(q) + "_option" + str(a))
# ============================================================================= # HoNOS # ============================================================================= class HonosMetaclass(DeclarativeMeta): # noinspection PyInitNewSignature def __init__( cls: Type["Honos"], name: str, bases: Tuple[Type, ...], classdict: Dict[str, Any], ) -> None: add_multiple_columns( cls, "q", 1, cls.NQUESTIONS, pv=PV_MAIN, comment_fmt="Q{n}, {s} (0-4, higher worse)", comment_strings=[ "overactive/aggressive/disruptive/agitated", "deliberate self-harm", "problem-drinking/drug-taking", "cognitive problems", "physical illness/disability", "hallucinations/delusions", "depressed mood", "other mental/behavioural problem", "relationship problems", "activities of daily living", "problems with living conditions", "occupation/activities", ], ) super().__init__(name, bases, classdict)
[docs]class Honos(HonosBase, metaclass=HonosMetaclass): """ Server implementation of the HoNOS task. """ __tablename__ = "honos" shortname = "HoNOS" info_filename_stem = "honos" q8problemtype = CamcopsColumn( "q8problemtype", CharColType, permitted_value_checker=PermittedValueChecker( permitted_values=PV_PROBLEMTYPE ), comment="Q8: type of problem (A phobic; B anxiety; " "C obsessive-compulsive; D mental strain/tension; " "E dissociative; F somatoform; G eating; H sleep; " "I sexual; J other, specify)", ) q8otherproblem = Column( "q8otherproblem", UnicodeText, comment="Q8: other problem: specify" ) NQUESTIONS = 12 QFIELDS = strseq("q", 1, NQUESTIONS) MAX_SCORE = 48
[docs] @staticmethod def longname(req: "CamcopsRequest") -> str: _ = req.gettext return _("Health of the Nation Outcome Scales, working age adults")
# noinspection PyUnresolvedReferences
[docs] def is_complete(self) -> bool: if self.any_fields_none(self.QFIELDS): return False if not self.field_contents_valid(): return False if self.q8 != 0 and self.q8 != 9 and self.q8problemtype is None: return False if ( self.q8 != 0 and self.q8 != 9 and self.q8problemtype == "J" and self.q8otherproblem is None ): return False return self.period_rated is not None
[docs] def get_task_html(self, req: CamcopsRequest) -> str: q8_problem_type_dict = { None: None, "A": self.wxstring(req, "q8problemtype_option_a"), "B": self.wxstring(req, "q8problemtype_option_b"), "C": self.wxstring(req, "q8problemtype_option_c"), "D": self.wxstring(req, "q8problemtype_option_d"), "E": self.wxstring(req, "q8problemtype_option_e"), "F": self.wxstring(req, "q8problemtype_option_f"), "G": self.wxstring(req, "q8problemtype_option_g"), "H": self.wxstring(req, "q8problemtype_option_h"), "I": self.wxstring(req, "q8problemtype_option_i"), "J": self.wxstring(req, "q8problemtype_option_j"), } one_to_eight = "" for i in range(1, 8 + 1): one_to_eight += tr_qa( self.get_q(req, i), self.get_answer(req, i, getattr(self, "q" + str(i))), ) nine_onwards = "" for i in range(9, self.NQUESTIONS + 1): nine_onwards += tr_qa( self.get_q(req, i), self.get_answer(req, i, getattr(self, "q" + str(i))), ) h = """ <div class="{CssClass.SUMMARY}"> <table class="{CssClass.SUMMARY}"> {tr_is_complete} {total_score} </table> </div> <table class="{CssClass.TASKDETAIL}"> <tr> <th width="50%">Question</th> <th width="50%">Answer <sup>[1]</sup></th> </tr> {period_rated} {one_to_eight} {q8problemtype} {q8otherproblem} {nine_onwards} </table> <div class="{CssClass.FOOTNOTES}"> {FOOTNOTE_SCORING} </div> {copyright_div} """.format( CssClass=CssClass, tr_is_complete=self.get_is_complete_tr(req), total_score=tr( req.sstring(SS.TOTAL_SCORE), answer(self.total_score()) + f" / {self.MAX_SCORE}", ), period_rated=tr_qa( self.wxstring(req, "period_rated"), self.period_rated ), one_to_eight=one_to_eight, q8problemtype=tr_qa( self.wxstring(req, "q8problemtype_s"), get_from_dict(q8_problem_type_dict, self.q8problemtype), ), q8otherproblem=tr_qa( self.wxstring(req, "q8otherproblem_s"), self.q8otherproblem ), nine_onwards=nine_onwards, FOOTNOTE_SCORING=FOOTNOTE_SCORING, copyright_div=self.COPYRIGHT_DIV, ) return h
# noinspection PyUnresolvedReferences
[docs] def get_snomed_codes(self, req: CamcopsRequest) -> List[SnomedExpression]: codes = [ SnomedExpression( req.snomed(SnomedLookup.HONOSWA_PROCEDURE_ASSESSMENT) ) ] if self.is_complete(): codes.append( SnomedExpression( req.snomed(SnomedLookup.HONOSWA_SCALE), { req.snomed( SnomedLookup.HONOSWA_SCORE ): self.total_score(), req.snomed( SnomedLookup.HONOSWA_1_OVERACTIVE_SCORE ): self.q1, req.snomed( SnomedLookup.HONOSWA_2_SELFINJURY_SCORE ): self.q2, req.snomed( SnomedLookup.HONOSWA_3_SUBSTANCE_SCORE ): self.q3, req.snomed( SnomedLookup.HONOSWA_4_COGNITIVE_SCORE ): self.q4, req.snomed( SnomedLookup.HONOSWA_5_PHYSICAL_SCORE ): self.q5, req.snomed( SnomedLookup.HONOSWA_6_PSYCHOSIS_SCORE ): self.q6, req.snomed( SnomedLookup.HONOSWA_7_DEPRESSION_SCORE ): self.q7, req.snomed( SnomedLookup.HONOSWA_8_OTHERMENTAL_SCORE ): self.q8, req.snomed( SnomedLookup.HONOSWA_9_RELATIONSHIPS_SCORE ): self.q9, req.snomed( SnomedLookup.HONOSWA_10_ADL_SCORE ): self.q10, req.snomed( SnomedLookup.HONOSWA_11_LIVINGCONDITIONS_SCORE ): self.q11, req.snomed( SnomedLookup.HONOSWA_12_OCCUPATION_SCORE ): self.q12, }, ) ) return codes
# ============================================================================= # HoNOS 65+ # ============================================================================= class Honos65Metaclass(DeclarativeMeta): # noinspection PyInitNewSignature def __init__( cls: Type["Honos65"], name: str, bases: Tuple[Type, ...], classdict: Dict[str, Any], ) -> None: add_multiple_columns( cls, "q", 1, cls.NQUESTIONS, pv=PV_MAIN, comment_fmt="Q{n}, {s} (0-4, higher worse)", comment_strings=[ # not exactly identical to HoNOS "behavioural disturbance", "deliberate self-harm", "problem drinking/drug-taking", "cognitive problems", "physical illness/disability", "hallucinations/delusions", "depressive symptoms", "other mental/behavioural problem", "relationship problems", "activities of daily living", "living conditions", "occupation/activities", ], ) super().__init__(name, bases, classdict)
[docs]class Honos65(HonosBase, metaclass=Honos65Metaclass): """ Server implementation of the HoNOS 65+ task. """ __tablename__ = "honos65" shortname = "HoNOS 65+" info_filename_stem = "honos" q8problemtype = CamcopsColumn( "q8problemtype", CharColType, permitted_value_checker=PermittedValueChecker( permitted_values=PV_PROBLEMTYPE ), comment="Q8: type of problem (A phobic; B anxiety; " "C obsessive-compulsive; D stress; " # NB slight difference: D "E dissociative; F somatoform; G eating; H sleep; " "I sexual; J other, specify)", ) q8otherproblem = Column( "q8otherproblem", UnicodeText, comment="Q8: other problem: specify" ) NQUESTIONS = 12 QFIELDS = strseq("q", 1, NQUESTIONS) MAX_SCORE = 48
[docs] @staticmethod def longname(req: "CamcopsRequest") -> str: _ = req.gettext return _("Health of the Nation Outcome Scales, older adults")
# noinspection PyUnresolvedReferences
[docs] def is_complete(self) -> bool: if self.any_fields_none(self.QFIELDS): return False if not self.field_contents_valid(): return False if self.q8 != 0 and self.q8 != 9 and self.q8problemtype is None: return False if ( self.q8 != 0 and self.q8 != 9 and self.q8problemtype == "J" and self.q8otherproblem is None ): return False return self.period_rated is not None
[docs] def get_task_html(self, req: CamcopsRequest) -> str: q8_problem_type_dict = { None: None, "A": self.wxstring(req, "q8problemtype_option_a"), "B": self.wxstring(req, "q8problemtype_option_b"), "C": self.wxstring(req, "q8problemtype_option_c"), "D": self.wxstring(req, "q8problemtype_option_d"), "E": self.wxstring(req, "q8problemtype_option_e"), "F": self.wxstring(req, "q8problemtype_option_f"), "G": self.wxstring(req, "q8problemtype_option_g"), "H": self.wxstring(req, "q8problemtype_option_h"), "I": self.wxstring(req, "q8problemtype_option_i"), "J": self.wxstring(req, "q8problemtype_option_j"), } one_to_eight = "" for i in range(1, 8 + 1): one_to_eight += tr_qa( self.get_q(req, i), self.get_answer(req, i, getattr(self, "q" + str(i))), ) nine_onwards = "" for i in range(9, Honos.NQUESTIONS + 1): nine_onwards += tr_qa( self.get_q(req, i), self.get_answer(req, i, getattr(self, "q" + str(i))), ) h = """ <div class="{CssClass.SUMMARY}"> <table class="{CssClass.SUMMARY}"> {tr_is_complete} {total_score} </table> </div> <table class="{CssClass.TASKDETAIL}"> <tr> <th width="50%">Question</th> <th width="50%">Answer <sup>[1]</sup></th> </tr> {period_rated} {one_to_eight} {q8problemtype} {q8otherproblem} {nine_onwards} </table> <div class="{CssClass.FOOTNOTES}"> {FOOTNOTE_SCORING} </div> {copyright_div} """.format( CssClass=CssClass, tr_is_complete=self.get_is_complete_tr(req), total_score=tr( req.sstring(SS.TOTAL_SCORE), answer(self.total_score()) + f" / {self.MAX_SCORE}", ), period_rated=tr_qa( self.wxstring(req, "period_rated"), self.period_rated ), one_to_eight=one_to_eight, q8problemtype=tr_qa( self.wxstring(req, "q8problemtype_s"), get_from_dict(q8_problem_type_dict, self.q8problemtype), ), q8otherproblem=tr_qa( self.wxstring(req, "q8otherproblem_s"), self.q8otherproblem ), nine_onwards=nine_onwards, FOOTNOTE_SCORING=FOOTNOTE_SCORING, copyright_div=self.COPYRIGHT_DIV, ) return h
[docs] def get_snomed_codes(self, req: CamcopsRequest) -> List[SnomedExpression]: codes = [ SnomedExpression( req.snomed(SnomedLookup.HONOS65_PROCEDURE_ASSESSMENT) ) ] if self.is_complete(): codes.append( SnomedExpression( req.snomed(SnomedLookup.HONOS65_SCALE), { req.snomed( SnomedLookup.HONOS65_SCORE ): self.total_score() }, ) ) return codes
# ============================================================================= # HoNOSCA # ============================================================================= class HonoscaMetaclass(DeclarativeMeta): # noinspection PyInitNewSignature def __init__( cls: Type["Honosca"], name: str, bases: Tuple[Type, ...], classdict: Dict[str, Any], ) -> None: add_multiple_columns( cls, "q", 1, cls.NQUESTIONS, pv=PV_MAIN, comment_fmt="Q{n}, {s} (0-4, higher worse)", comment_strings=[ "disruptive/antisocial/aggressive", "overactive/inattentive", "self-harm", "alcohol/drug misuse", "scholastic/language problems", "physical illness/disability", "delusions/hallucinations", "non-organic somatic symptoms", "emotional symptoms", "peer relationships", "self-care and independence", "family life/relationships", "school attendance", "problems with knowledge/understanding of child's problems", "lack of information about services", ], ) super().__init__(name, bases, classdict)
[docs]class Honosca(HonosBase, metaclass=HonoscaMetaclass): """ Server implementation of the HoNOSCA task. """ __tablename__ = "honosca" shortname = "HoNOSCA" info_filename_stem = "honos" NQUESTIONS = 15 QFIELDS = strseq("q", 1, NQUESTIONS) LAST_SECTION_A_Q = 13 FIRST_SECTION_B_Q = 14 SECTION_A_QFIELDS = strseq("q", 1, LAST_SECTION_A_Q) SECTION_B_QFIELDS = strseq("q", FIRST_SECTION_B_Q, NQUESTIONS) MAX_SCORE = 60 MAX_SECTION_A = 4 * len(SECTION_A_QFIELDS) MAX_SECTION_B = 4 * len(SECTION_B_QFIELDS) TASK_FIELDS = QFIELDS + ["period_rated"]
[docs] @staticmethod def longname(req: "CamcopsRequest") -> str: _ = req.gettext return _( "Health of the Nation Outcome Scales, Children and Adolescents" )
[docs] def is_complete(self) -> bool: return ( self.all_fields_not_none(self.TASK_FIELDS) and self.field_contents_valid() )
def section_a_score(self) -> int: return self._total_score_for_fields(self.SECTION_A_QFIELDS) def section_b_score(self) -> int: return self._total_score_for_fields(self.SECTION_B_QFIELDS)
[docs] def get_task_html(self, req: CamcopsRequest) -> str: section_a = "" for i in range(1, 13 + 1): section_a += tr_qa( self.get_q(req, i), self.get_answer(req, i, getattr(self, "q" + str(i))), ) section_b = "" for i in range(14, self.NQUESTIONS + 1): section_b += tr_qa( self.get_q(req, i), self.get_answer(req, i, getattr(self, "q" + str(i))), ) h = """ <div class="{CssClass.SUMMARY}"> <table class="{CssClass.SUMMARY}"> {tr_is_complete} {total_score} {section_a_total} {section_b_total} </table> </div> <table class="{CssClass.TASKDETAIL}"> <tr> <th width="50%">Question</th> <th width="50%">Answer <sup>[1]</sup></th> </tr> {period_rated} {section_a_subhead} {section_a} {section_b_subhead} {section_b} </table> <div class="{CssClass.FOOTNOTES}"> {FOOTNOTE_SCORING} </div> {copyright_div} """.format( CssClass=CssClass, tr_is_complete=self.get_is_complete_tr(req), total_score=tr( req.sstring(SS.TOTAL_SCORE), answer(self.total_score()) + f" / {self.MAX_SCORE}", ), section_a_total=tr( self.wxstring(req, "section_a_total"), answer(self.section_a_score()) + f" / {self.MAX_SECTION_A}", ), section_b_total=tr( self.wxstring(req, "section_b_total"), answer(self.section_b_score()) + f" / {self.MAX_SECTION_B}", ), period_rated=tr_qa( self.wxstring(req, "period_rated"), self.period_rated ), section_a_subhead=subheading_spanning_two_columns( self.wxstring(req, "section_a_title") ), section_a=section_a, section_b_subhead=subheading_spanning_two_columns( self.wxstring(req, "section_b_title") ), section_b=section_b, FOOTNOTE_SCORING=FOOTNOTE_SCORING, copyright_div=self.COPYRIGHT_DIV, ) return h
[docs] def get_snomed_codes(self, req: CamcopsRequest) -> List[SnomedExpression]: codes = [ SnomedExpression( req.snomed(SnomedLookup.HONOSCA_PROCEDURE_ASSESSMENT) ) ] if self.is_complete(): a = self.section_a_score() b = self.section_b_score() total = a + b codes.append( SnomedExpression( req.snomed(SnomedLookup.HONOSCA_SCALE), { req.snomed(SnomedLookup.HONOSCA_SCORE): total, req.snomed(SnomedLookup.HONOSCA_SECTION_A_SCORE): a, req.snomed(SnomedLookup.HONOSCA_SECTION_B_SCORE): b, req.snomed( SnomedLookup.HONOSCA_SECTION_A_PLUS_B_SCORE ): total, }, ) ) return codes