def get_clinical_text(self):
if not self.is_complete():
return CTV_DICTLIST_INCOMPLETE
return [{
"content": u"BMI: {} kg⋅m<sup>–2</sup> [{}]. Mass: {} kg. "
"Height: {} m.".format(
ws.number_to_dp(self.bmi(), BMI_DP),
self.category(),
ws.number_to_dp(self.mass_kg, KG_DP),
ws.number_to_dp(self.height_m, M_DP)
)
}]
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_clinical_text(self):
if not self.is_complete():
return CTV_DICTLIST_INCOMPLETE
return [{
"content": u"Quality of life: {}".format(
ws.number_to_dp(self.utility, DP))
}]
def get_task_html(self):
h = u"""
<div class="summary">
<table class="summary">
""" + self.get_is_complete_tr()
h += tr_qa("Utility", ws.number_to_dp(self.utility, DP, default=None))
h += u"""
</table>
</div>
<div class="explanation">
Quality of life (QoL) has anchor values of 0 (none) and 1
(perfect health). The Standard Gamble offers a trade-off to
determine utility (QoL).
Values <0 and >1 are possible with some gambles.
</div>
<table class="taskdetail">
<tr><th width="50%">Measure</th><th width="50%">Value</th></tr>
"""
h += tr_qa("Category choice: start time", self.category_start_time)
h += tr_qa("Category choice: responded?",
get_yes_no_none(self.category_responded))
h += tr_qa("Category choice: response time",
self.category_response_time)
h += tr_qa("Category choice: category chosen", self.category_chosen)
h += tr_qa("Gamble: fixed option", self.gamble_fixed_option)
h += tr_qa("Gamble: lottery option for <i>p</i>",
self.gamble_lottery_option_p)
h += tr_qa(u"Gamble: lottery option for <i>q</i> = 1 – <i>p</i>",
self.gamble_lottery_option_q)
h += tr_qa("Gamble: lottery on left?",
get_yes_no_none(self.gamble_lottery_on_left))
h += tr_qa("Gamble: starting <i>p</i>", self.gamble_starting_p)
h += tr_qa("Gamble: start time", self.gamble_start_time)
h += tr_qa("Gamble: responded?",
get_yes_no_none(self.gamble_responded))
h += tr_qa("Gamble: response time", self.gamble_response_time)
h += tr_qa("Gamble: <i>p</i>",
ws.number_to_dp(self.gamble_p, DP, default=None))
h += tr_qa("Calculated utility",
ws.number_to_dp(self.utility, DP, default=None))
h += u"""
</table>
"""
return h
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 get_html_table_row(self):
return (u"<tr>" + u"<td>{}</td>" * 13 + u"</th>").format(
self.trial,
self.trial_ignoring_catch_trials,
self.target_presented,
self.target_time,
ws.number_to_dp(self.intensity, DP),
self.choice_time,
self.responded,
self.response_time,
self.response_latency_ms,
self.yes,
self.no,
ws.webify(self.caught_out_reset),
ws.webify(self.trial_num_in_calculation_sequence)
)
def get_task_html(self):
h = u"""
<div class="summary">
<table class="summary">
{iscomplete}
</table>
<table class="summary">
<tr>
<th>Domain (with score range)</th>
<th>Frequency (total score)</th>
<th>Distress (total score)</th>
</tr>
""".format(iscomplete=self.get_is_complete_tr())
h += tr(
u"Overall <sup>[1]</sup> ({low}–{high})".format(
low=ALL_MIN,
high=ALL_MAX),
self.frequency_score(ALL),
self.distress_score(ALL))
h += tr(
u"Positive symptoms ({low}–{high})".format(
low=POS_MIN,
high=POS_MAX),
self.frequency_score(POSITIVE),
self.distress_score(POSITIVE))
h += tr(
u"Negative symptoms ({low}–{high})".format(
low=NEG_MIN,
high=NEG_MAX),
self.frequency_score(NEGATIVE),
self.distress_score(NEGATIVE))
h += tr(
u"Depressive symptoms ({low}–{high})".format(
low=DEP_MIN,
high=DEP_MAX),
self.frequency_score(DEPRESSIVE),
self.distress_score(DEPRESSIVE))
h += u"""
</table>
<table class="summary">
<tr>
<th>Domain</th>
<th>Weighted frequency score <sup>[3]</sup></th>
<th>Weighted distress score <sup>[3]</sup></th>
</tr>
"""
h += tr("Overall ({n} questions)".format(n=len(ALL)),
ws.number_to_dp(self.weighted_frequency_score(ALL), DP),
ws.number_to_dp(self.weighted_distress_score(ALL), DP))
h += tr("Positive symptoms ({n} questions)".format(n=len(POSITIVE)),
ws.number_to_dp(self.weighted_frequency_score(POSITIVE), DP),
ws.number_to_dp(self.weighted_distress_score(POSITIVE), DP))
h += tr("Negative symptoms ({n} questions)".format(n=len(NEGATIVE)),
ws.number_to_dp(self.weighted_frequency_score(NEGATIVE), DP),
ws.number_to_dp(self.weighted_distress_score(NEGATIVE), DP))
h += tr(
"Depressive symptoms ({n} questions)".format(n=len(DEPRESSIVE)),
ws.number_to_dp(self.weighted_frequency_score(DEPRESSIVE), DP),
ws.number_to_dp(self.weighted_distress_score(DEPRESSIVE), DP))
h += u"""
</table>
</div>
<div class="explanation">
FREQUENCY: 1 {f1}, 2 {f2}, 3 {f3}, 4 {f4}.
DISTRESS: 1 {d1}, 2 {d2}, 3 {d3}, 4 {d4}.
</div>
<table class="taskdetail">
<tr>
<th width="70%">
Question (P positive, N negative, D depressive)
</th>
<th width="15%">Frequency ({low}–{high})</th>
<th width="15%">Distress ({low}–{high}) <sup>[2]</sup></th>
</tr>
""".format(
f1=WSTRING("cape42_frequency_option1"),
f2=WSTRING("cape42_frequency_option2"),
f3=WSTRING("cape42_frequency_option3"),
f4=WSTRING("cape42_frequency_option4"),
d1=WSTRING("cape42_distress_option1"),
d2=WSTRING("cape42_distress_option2"),
d3=WSTRING("cape42_distress_option3"),
d4=WSTRING("cape42_distress_option4"),
low=MIN_SCORE_PER_Q,
high=MAX_SCORE_PER_Q,
)
for q in ALL:
h += tr(
u"{q}. ".format(q=q)
+ WSTRING("cape42_q" + str(q))
+ u" (<i>" + self.question_category(q) + "</i>)",
answer(self.get_frequency(q)),
answer(
self.get_distress_score(q) if self.endorsed(q) else None,
default=str(MIN_SCORE_PER_Q))
)
h += u"""
</table>
<div class="footnotes">
[1] “Total” score is the overall frequency score (the sum of
frequency scores for all questions).
[2] Distress coerced to 1 if frequency is 1.
[3] Sum score per dimension divided by number of completed
items. Shown to {dp} decimal places. Will be in the range
{low}–{high}, or blank if not calculable.
</div>
""".format(
low=MIN_SCORE_PER_Q,
high=MAX_SCORE_PER_Q,
dp=DP,
)
return h
def get_task_html(self):
if self.modality == MODALITY_AUDITORY:
modality = WSTRING("auditory")
elif self.modality == MODALITY_VISUAL:
modality = WSTRING("visual")
else:
modality = None
h = u"""
<div class="summary">
<table class="summary">
{}
</table>
</div>
<div class="explanation">
The ExpDet-Threshold task measures visual and auditory
thresholds for stimuli on a noisy background, using a
single-interval up/down method. It is intended as a prequel to
the Expectation–Detection task.
</div>
<table class="taskconfig">
<tr>
<th width="50%">Configuration variable</th>
<th width="50%">Value</th>
</tr>
""".format(
self.get_is_complete_tr(),
)
h += tr_qa("Modality", modality)
h += tr_qa("Target number", self.target_number)
h += tr_qa("Background filename", ws.webify(self.background_filename))
h += tr_qa("Background intensity", self.background_intensity)
h += tr_qa("Target filename", ws.webify(self.target_filename))
h += tr_qa("(For visual targets) Target duration (s)",
self.visual_target_duration_s)
h += tr_qa("Start intensity (minimum)", self.start_intensity_min)
h += tr_qa("Start intensity (maximum)", self.start_intensity_max)
h += tr_qa("Initial (large) intensity step",
self.initial_large_intensity_step)
h += tr_qa("Main (small) intensity step",
self.main_small_intensity_step)
h += tr_qa("Number of trials in main sequence",
self.num_trials_in_main_sequence)
h += tr_qa("Probability of a catch trial", self.p_catch_trial)
h += tr_qa("Prompt", self.prompt)
h += tr_qa("Intertrial interval (ITI) (s)", self.iti_s)
h += u"""
</table>
<table class="taskdetail">
<tr><th width="50%">Measure</th><th width="50%">Value</th></tr>
"""
h += tr_qa("Finished?", get_yes_no_none(self.finished))
h += tr_qa("Logistic intercept",
ws.number_to_dp(self.intercept,
DP))
h += tr_qa("Logistic slope",
ws.number_to_dp(self.slope, DP))
h += tr_qa("Logistic k (= slope)",
ws.number_to_dp(self.k, DP))
h += tr_qa(u"Logistic theta (= –intercept/slope)",
ws.number_to_dp(self.theta, DP))
h += tr_qa("Intensity for {}% detection".format(100*LOWER_MARKER),
ws.number_to_dp(self.logistic_x_from_p(LOWER_MARKER),
DP))
h += tr_qa("Intensity for 50% detection",
ws.number_to_dp(self.theta, DP))
h += tr_qa("Intensity for {}% detection".format(100*UPPER_MARKER),
ws.number_to_dp(self.logistic_x_from_p(UPPER_MARKER),
DP))
h += u"""
</table>
"""
h += self.get_trial_html()
return h
def get_task_html(self):
h = u"""
<div class="summary">
<table class="summary">
"""
h += self.get_is_complete_tr()
h += tr_qa("BMI (kg/m<sup>2</sup>)",
ws.number_to_dp(self.bmi(), BMI_DP))
h += tr_qa("Category <sup>[1]</sup>", self.category())
h += u"""
</table>
</div>
<table class="taskdetail">
"""
h += tr_qa("Mass (kg)", ws.number_to_dp(self.mass_kg, KG_DP))
h += tr_qa("Height (m)", ws.number_to_dp(self.height_m, M_DP))
h += tr_qa("Comment", ws.webify(self.comment))
h += u"""
</table>
<div class="footnotes">
[1] Categorization <b>for adults</b> (square brackets
inclusive, parentheses exclusive; AN anorexia nervosa):
<13 very severely underweight (WHO grade 3; RCPsych severe
AN, high risk);
[13, 15] very severely underweight (WHO grade 3; RCPsych severe
AN, medium risk);
[15, 16) severely underweight (WHO grade 3; AN);
[16, 17) underweight (WHO grade 2; AN);
[17, 17.5) underweight (WHO grade 1; below ICD-10/RCPsych AN
cutoff);
[17.5, 18.5) underweight (WHO grade 1);
[18.5, 25) normal (healthy weight);
[25, 30) overweight;
[30, 35) obese class I (moderately obese);
[35, 40) obese class II (severely obese);
≥40 obese class III (very severely obese).
Sources:
<ul>
<li>WHO Expert Committee on Physical Status (1995,
PMID 8594834) defined ranges as:
<16 grade 3 thinness,
[16, 17) grade 2 thinness,
[17, 18.5) grade 1 thinness,
[18.5, 25) normal,
[25, 30) grade 1 overweight,
[30, 40) grade 2 overweight,
≥40 grade 3 overweight
(sections 7.2.1 and 8.7.1 and p452).</li>
<li>WHO (1998 “Obesity: preventing and managing the global
epidemic”) use the
categories
[25, 30) “pre-obese”,
[30, 35) obese class I,
[35, 40) obese class II,
≥40 obese class III
(p9).</li>
<li>A large number of web sources that don’t cite a primary
reference use:
<15 very severely underweight;
[15, 16) severely underweight;
[16, 18.5) underweight;
[18.5, 25] normal (healthy weight);
[25, 30) obese class I (moderately obese);
[35, 40) obese class II (severely obese);
≥40 obese class III (very severely obese);
<li>The WHO (2010 “Nutrition Landscape Information System
(NILS) country profile indicators: interpretation guide”)
use
<16 “severe thinness” (previously grade 3 thinness),
(16, 17] “moderate thinness” (previously grade 2 thinness),
[17, 18.5) “underweight” (previously grade 1 thinness).
(p3).</li>
<li>ICD-10 BMI threshold for anorexia nervosa is ≤17.5
(WHO, 1992). Subsequent references (e.g. RCPsych, below)
use <17.5.</li>
<li>In anorexia nervosa:
<17.5 anorexia (threshold for diagnosis),
<15 severe anorexia;
13–15 medium risk,
<13 high risk (of death)
(Royal College of Psychiatrists, 2010, report CR162,
pp. 11, 15, 20, 56).</li>
</ul>
</div>
"""
return h
