def get_clinical_text(self):
if not self.is_complete():
return CTV_DICTLIST_INCOMPLETE
tto_qol = self.get_tto_qol()
rs_qol = self.get_rs_qol()
mean_qol = mean([tto_qol, rs_qol])
return [{
"content": u"Quality of life: time trade-off {}, rating scale {},"
" mean {}.".format(
ws.number_to_dp(tto_qol, DP),
ws.number_to_dp(rs_qol, DP),
ws.number_to_dp(mean_qol, DP)
)
}]
def get_task_html(self):
tto_qol = self.get_tto_qol()
rs_qol = self.get_rs_qol()
mean_qol = mean([tto_qol, rs_qol])
h = u"""
<div class="summary">
<table class="summary">
"""
h += self.get_is_complete_tr()
h += tr("Mean QoL", answer(ws.number_to_dp(mean_qol, DP, default=None),
formatter_answer=identity))
h += u"""
</table>
</div>
<div class="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="taskdetail">
<tr>
<th width="33%">Scale</th>
<th width="33%">Answer</th>
<td width="33%">Implied QoL</th>
</tr>
"""
h += tr(WSTRING("qolbasic_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))
h += tr(WSTRING("qolbasic_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))
h += u"""
</table>
"""
return h
def scoreOverall(self):
values = []
for q in range(1, Rand36.NQUESTIONS + 1):
values.append(self.recode(q))
return mean(values)
def scoreGeneralHealth(self):
return mean([self.recode(1), self.recode(33), self.recode(34),
self.recode(35), self.recode(36)])
def scorePain(self):
return mean([self.recode(21), self.recode(22)])
def scoreSocialFunctioning(self):
return mean([self.recode(20), self.recode(32)])
def scoreEmotionalWellbeing(self):
return mean([self.recode(24), self.recode(25), self.recode(26),
self.recode(28), self.recode(30)])
def scoreEnergy(self):
return mean([self.recode(23), self.recode(27), self.recode(29),
self.recode(31)])
def scoreRoleLimitationsEmotional(self):
return mean([self.recode(17), self.recode(18), self.recode(19)])
def scoreRoleLimitationsPhysical(self):
return mean([self.recode(13), self.recode(14), self.recode(15),
self.recode(16)])
def scorePhysicalFunctioning(self):
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)])
