def get_clinical_text(self, req: CamcopsRequest) -> List[CtvInfo]:
if not self.is_complete():
return CTV_INCOMPLETE
tto_qol = self.get_tto_qol()
rs_qol = self.get_rs_qol()
mean_qol = mean([tto_qol, rs_qol])
return [
CtvInfo(content=(f"Quality of life: time trade-off "
f"{ws.number_to_dp(tto_qol, DP)}, "
f"rating scale {ws.number_to_dp(rs_qol, DP)}, "
f"mean {ws.number_to_dp(mean_qol, DP)}."))
]
def get_task_html(self, req: CamcopsRequest) -> str:
tto_qol = self.get_tto_qol()
rs_qol = self.get_rs_qol()
mean_qol = mean([tto_qol, rs_qol])
h = """
<div class="{CssClass.SUMMARY}">
<table class="{CssClass.SUMMARY}">
{tr_is_complete}
{mean_qol}
</table>
</div>
<div class="{CssClass.EXPLANATION}">
Quality of life (QoL) has anchor values of 0 (none) and 1
(perfect health), and can be asked about in several ways.
</div>
<table class="{CssClass.TASKDETAIL}">
<tr>
<th width="33%">Scale</th>
<th width="33%">Answer</th>
<td width="33%">Implied QoL</th>
</tr>
{tto}
{rs}
</table>
""".format(
CssClass=CssClass,
tr_is_complete=self.get_is_complete_tr(req),
mean_qol=tr(
"Mean QoL",
answer(
ws.number_to_dp(mean_qol, DP, default=None),
formatter_answer=identity,
),
),
tto=tr(
self.wxstring(req, "tto_q_s"),
answer(ws.number_to_dp(self.tto, DP, default=None)),
answer(
ws.number_to_dp(tto_qol, DP, default=None),
formatter_answer=identity,
),
),
rs=tr(
self.wxstring(req, "rs_q_s"),
answer(ws.number_to_dp(self.rs, DP, default=None)),
answer(
ws.number_to_dp(rs_qol, DP, default=None),
formatter_answer=identity,
),
),
)
return h
def score_physical_functioning(self) -> Optional[float]:
return mean([
self.recode(3),
self.recode(4),
self.recode(5),
self.recode(6),
self.recode(7),
self.recode(8),
self.recode(9),
self.recode(10),
self.recode(11),
self.recode(12)
])
def score_overall(self) -> Optional[float]:
values = []
for q in range(1, self.NQUESTIONS + 1):
values.append(self.recode(q))
return mean(values)
def score_pain(self) -> Optional[float]:
return mean([self.recode(21), self.recode(22)])
def score_social_functioning(self) -> Optional[float]:
return mean([self.recode(20), self.recode(32)])
def score_role_limitations_emotional(self) -> Optional[float]:
return mean([self.recode(17), self.recode(18), self.recode(19)])