Alex Mitchell Consultant in Liaison Psychiatry and Hon SnR Lecturer in Psycho-oncology, University Hospitals Leicester Undergraduates (Feb11) Undergraduates (Feb11) [email protected] [email protected]
Sep 13, 2014
Alex MitchellConsultant in Liaison Psychiatry and Hon SnR Lecturer in
Psycho-oncology, University Hospitals Leicester
Undergraduates (Feb11)Undergraduates (Feb11)[email protected]@leicspart.nhs.uk
23
3
3
3
4
5
8
10
10
14
16
25
2
3
4
5
3
1
3
14
24
15UK Rank
(12th)
(10th)
(5th)
(4th)
(6th)
(15th)
(8th)
(3rd)
(1st)
(2nd)
All others
Lip, oral cavity
Leukaemia
NHL
Bladder
Oesophagus
Liver
Stomach
Colorectum
Prostate
Lung
world (%) uk (%)27
3
3
4
4
5
6
9
9
9
23
27
3
1
5
1
5
2
12
2
12
31UK Rank
(7th)
(18th)
(5th)
(19th)
(4th)
(13th)
(3rd)
(11th)
(2nd)
(1st)
All others
NHL
Thyroid
Ovary
Liver
Uterus
Stomach
Lung
Cervix
Colorectum
Breast
world(%) uk(%)
Males
Most commonly diagnosed cancers worldwide
Females
0
10
20
30
40
50
60
70
80
90
100
Melanom
aBrea
st (fe
male)
Urinary
bladde
r
Prostat
e
Colon
All site
s
Rectum
Non-H
odgkin
lymph
oma
Ovary
Leuk
emiaLu
ng and
bron
chus
Pancre
as
1975-19771984-19861996-2004Change
5 Year Survival in US Cancers (2008 American Cancer Society, Atlanta)
Annual report to the national of status of cancer 1975 – 2005 J Natl Cancer Inst 2008;100: 1672 – 1694
10.9million incident cases (1mi breast, lung colorectal); 25mi prevalent cases
0
500
1000
1500
2000
2500
3000
3500
Breast
Prosta
teMela
noma
Colorectal
Lymph
oma
Uterus
Bladder
Lung
KidneyHea
dandne
ck
Cervix
Leuke
mia
Ovary
Brain
Stomac
hEso
phagus
Pancr
eas
raw 000'S
raw 000'S
Total prevalence = 13.8 million in 2010
Projected = 18.2million in 2020
Angela B. Mariotto J Natl Cancer Inst 2011;103:117–128
What is the prevalence of depression?
Levine PM, Silberfarb PM, Lipowski ZJ. Mental disorders in cancer patients. Cancer 1978;42:1385–91.
Dartmouth Medical School and the Norris Cotton Cancer Center, New Hampshire
Prevalence of depression in Oncology settings
70 studies involving 10,071 individuals;14 countries.16.3% (95% CI = 13.9% to 19.5%)
Mj 15% Mn 19% Adj 20% Anx 10% Dysthymia 3%
Proportion meta-analysis plot [random effects]
0.0 0.3 0.6 0.9
combined 0.1730 (0.1375, 0.2116)
Colon et al (1991) 0.0100 (0.0003, 0.0545)
Massie and Holland (1987) 0.0147 (0.0063, 0.0287)
Hardman et al (1989) 0.0317 (0.0087, 0.0793)
Derogatis et al (1983) 0.0372 (0.0162, 0.0720)
Lansky et al (1985) 0.0455 (0.0291, 0.0676)
Mehnert et al (2007) 0.0472 (0.0175, 0.1000)
Katz et al (2004) 0.0500 (0.0104, 0.1392)
Singer et al (2008) 0.0519 (0.0300, 0.0830)
Sneeuw et al (1994) 0.0540 (0.0367, 0.0761)
Pasacreta et al (1997) 0.0633 (0.0209, 0.1416)
Lee et al (1992) 0.0660 (0.0356, 0.1102)
Reuter and Hart (2001) 0.0761 (0.0422, 0.1244)
Grassi et al (2009) 0.0826 (0.0385, 0.1510)
Grassi et al (1993) 0.0828 (0.0448, 0.1374)
Walker et al (2007) 0.0831 (0.0568, 0.1165)
Kawase et al (2006) 0.0851 (0.0553, 0.1240)
Coyne et al (2004) 0.0885 (0.0433, 0.1567)
Alexander et al (2010) 0.0900 (0.0542, 0.1385)
Love et al (2002) 0.0957 (0.0650, 0.1346)
Ozalp et al (2008) 0.0971 (0.0576, 0.1510)
Morasso et al (2001) 0.0985 (0.0535, 0.1625)
Costantini et al (1999) 0.0985 (0.0535, 0.1625)
Silberfarb et al (1980) 0.1027 (0.0587, 0.1638)
Desai et al (1999) [early] 0.1111 (0.0371, 0.2405)
Morasso et al (1996) 0.1121 (0.0593, 0.1877)
Prieto et al (2002) 0.1227 (0.0825, 0.1735)
Ibbotson et al (1994) 0.1242 (0.0776, 0.1853)
Payne et al (1999) 0.1290 (0.0363, 0.2983)
Kugaya et al (1998) 0.1328 (0.0793, 0.2041)
Alexander et al (1993) 0.1333 (0.0594, 0.2459)
Gandubert et al (2009) 0.1597 (0.1040, 0.2300)
Razavi et al (1990) 0.1667 (0.1189, 0.2241)
Akizuki et al (2005) 0.1797 (0.1376, 0.2283)
Leopold et al (1998) 0.1887 (0.0944, 0.3197)
Devlen et al (1987) 0.1889 (0.1141, 0.2851)
Berard et al (1998) 0.1900 (0.1184, 0.2807)
Joffe et al (1986) 0.1905 (0.0545, 0.4191)
Berard et al (1998) 0.2100 (0.1349, 0.3029)
Maunsell et al (1992) 0.2146 (0.1605, 0.2772)
Grandi et al (1987) 0.2222 (0.0641, 0.4764)
Evans et al (1986) 0.2289 (0.1438, 0.3342)
Spiegel et al (1984) 0.2292 (0.1495, 0.3261)
Golden et al (1991) 0.2308 (0.1353, 0.3519)
Fallowfield et al (1990) 0.2565 (0.2054, 0.3131)
Hosaka and Aoki (1996) 0.2800 (0.1623, 0.4249)
Kathol et al (1990) 0.2961 (0.2248, 0.3754)
Green et al (1998) 0.3125 (0.2417, 0.3904)
Jenkins et al (1991) 0.3182 (0.1386, 0.5487)
Burgess et al (2005) 0.3317 (0.2672, 0.4012)
Hall et al (1999) 0.3722 (0.3139, 0.4333)
Morton et al (1984) 0.3958 (0.2577, 0.5473)
Baile et al (1992) 0.4000 (0.2570, 0.5567)
Passik et al (2001) 0.4167 (0.2907, 0.5512)
Bukberg et al (1984) 0.4194 (0.2951, 0.5515)
Massie et al (1979) 0.4850 (0.4303, 0.5401)
Ciaramella and Poli (2001) 0.4900 (0.3886, 0.5920)
Levine et al (1978) 0.5600 (0.4572, 0.6592)
Plumb & Holland (1981) 0.7750 (0.6679, 0.8609)
proportion (95% confidence interval)
Prevalence of depression in Palliative settings
24 studies involving 4007 individuals 16.9% (95% CI = 13.2% to 20.3%)
14% major 9% minor adj 15% anx 10%
Proportion meta-analysis plot [random effects]
0.0 0.2 0.4 0.6
combined 0.17 (0.13, 0.21)
Maguire et al (1999) 0.05 (0.01, 0.14)
Akechi et al (2004) 0.07 (0.04, 0.11)
Kadan-Lottich et al (2005) 0.07 (0.04, 0.11)
Love et al (2004) 0.07 (0.04, 0.11)
Wilson et al (2004) 0.12 (0.05, 0.22)
Chochinov et al (1997) 0.12 (0.08, 0.18)
Wilson et al (2007) 0.13 (0.10, 0.17)
Kelly et al (2004) 0.14 (0.06, 0.26)
Chochinov et al (1994) 0.17 (0.11, 0.24)
Le Fevre et al (1999) 0.18 (0.10, 0.28)
Breitbart et al (2000) 0.18 (0.11, 0.28)
Meyer et al (2003) 0.20 (0.10, 0.35)
Minagawa et al (1996) 0.20 (0.11, 0.34)
Lloyd-Williams et al (2001) 0.22 (0.14, 0.31)
Hopwood et al (1991) 0.25 (0.16, 0.36)
Desai et al (1999) [late] 0.25 (0.10, 0.47)
Payne et al (2007) 0.26 (0.19, 0.33)
Lloyd-Williams et al (2003) 0.27 (0.17, 0.39)
Jen et al (2006) 0.27 (0.19, 0.36)
Lloyd-Williams et al (2007) 0.30 (0.24, 0.36)
proportion (95% confidence interval)
0
500
1000
1500
2000
2500
3000
3500
Breast
Prosta
teMela
noma
Colorectal
Lymph
oma
Uterus
Bladder
Lung
KidneyHea
dandne
ck
Cervix
Leuke
mia
Ovary
Brain
Stomac
hEso
phagus
Pancr
eas
raw 000'S
DISTRESS
DEPRESSION
Total prevalence Dep = 2 million in 2010
Projected depression = 2.7 million in 2020
Popn Orange Country
=> Who is helped?
…but is the prevalence of depression high in long term survivors? (3+ years)
0 20 40 60 80 100
0.0
0.1
0.2
0.3
0.4
Time (months)
Pro
porti
on
Meta regression using the random effects model on raw porportions Estimated slope = - 0.02 % per month (p=0.0016). Circles proportional to study size.
% Receiving Any treatment for Mental Health% Receiving Any treatment for Mental Health
7.2
34.6
5.7 6.3 6.4
11.7
19.1
14
8.9
3.9 3.25.7
32.7
5 57.7
11
16.1
6.5 6.2
2.3 1.8
0
5
10
15
20
25
30
35
40
All P
atie
nts
Men
tal Il
l Hea
lth
No
Men
tal Il
l Hea
lthN
o ch
ronic
med
ical
cond
itions
1 ch
ronic
med
ical c
ondi
tion
2 ch
roni
c m
edica
l con
ditio
ns3
chro
nic
med
ical c
ondi
tions
18-4
4 ye
ars
45-6
4 ye
ars
65-7
4 ye
ars
75+
Cancer n=4878
No Cancer n=90,737
Maria Hewitt, Julia H. Rowland Mental Health Service Use Among Adult Cancer Survivors: Analyses of the National Health Interview Survey Journal of Clinical Oncology, Vol 20, Issue 23 (December), 2002: 4581-4590
12mo Service Use 12mo Service Use (NIH, 2002)(NIH, 2002)
Two explanations=>
Two likely reasons…..
94.2%
37.4%
8 yrs N= 9282 NCS‐R
P Wang Harvard
In cancer?=>
Comment: Slide illustrates diagnostic accuracy according to score on DT
11.815.4
30.4 28.9
41.9 42.9 40.7
57.1
82.4
66.771.4
15.8
25.0
26.124.4
19.4 19.0
33.3
21.4
11.8
22.2 14.3
72.4
59.6
43.546.7
38.7 38.1
25.921.4
5.911.1
14.3
0.0
10.0
20.0
30.0
40.0
50.0
60.0
70.0
80.0
90.0
100.0
Zero One Two Three Four Five Six Seven Eight Nine Ten
Judgement = Non-distressedJudgement = UnclearJudgement = Distressed
Illness PathwaysIllness Pathways
Symptoms
Occur
Help
Seeking
Symptoms
Recognized
Referral
Occurs
Symptoms
Validated
Treatment
Occurs
Many syndromes are easily overlooked by health professionals leading to unnecessary delays in treatment
Lag
time
Lag
time
Lag
time
Lag
time
Lag
time
years months weeks weeks days
Illness
BeginsIllness
Resolves
Illness Pathways – Oncology StudiesIllness Pathways – Oncology Studies
Symptoms
Occur
Help
Seeking
Symptoms
Recognized
Referral
Occurs
Symptoms
Validated
Treatment
Occurs
Many syndromes are easily overlooked by health professionals leading to unnecessary delays in treatment
Lag
time
Lag
time
Lag
time
Lag
time
Lag
time
years months weeks weeks days
Illness
BeginsIllness
Resolves
Fabida09 – Physical Symptoms & distress
Baker-Glenn08 – Need for help in cancer
Karr07 – Detection by cancer specialists
Mitchell10 – Detection by nurse specialists
Todd10 – RCT of PACT in cancer
Cancer in UKCancer in UK
Incident Cancer Cases:300,000+
Prevalent Cancer Survivors1-2 million est
Prevalent Cancer Survivors with sig. Burden /yr1 million
Prevalent Cancer Survivors with sig. Distress1 million
Prevalent Cancer Survivors with clinical Depression350,000
Three D’s
DysfunctionDistress
Depression
18%
DepT23%
Distress69%
Dysfunction76%
0.3%
3% 2%
26%28% 22%
Of the 293 Non-Nil
DysfunctionDistress
DepT
0.80
0.69
0.62
0.50
0.410.43
0.32
0.25
0.33
0.27
0.20
0.18
0.31
0.31
0.47
0.48
0.40
0.40 0.53
0.50
0.45
0.40
0.01
0.00
0.08
0.03
0.07
0.11
0.280.19
0.17
0.18
0.20
0.020.00 0.00 0.00
0.040.06
0.000.03
0.00
0.09
0.20
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Zero One Tw o Three Four Five Six Seven Eight Nine Ten
3=Extremely Difficult”
2=Very Difficult
1=Somewhat Difficult
Unimpaired
Cancer #s in LeicesterCancer #s in Leicester
Incident Cancer Cases:3000
Prevalent Cancer Survivors12,500 est
Prevalent Cancer Survivors with sign. Burden /yr6,000
Prevalent Cancer Survivors with sig Depression2,000
Meeting Psychological Needs in LeicesterMeeting Psychological Needs in Leicester
FTE in Psycho-oncology?
Psycho-oncology in LeicesterPsycho-oncology in Leicester
FTE in Psycho-oncology3.0
CNS in UHL35
UHL Ward Nurses, Chemo Nurses and Rx Radiographers100
CNS+McMillan+LOROS70
Oncologists and Haematologists and Palliative Consultants15
Psychological DistressPsychological Distress
Pool x Prev10,000 x 50% => 5000 (distress/anxiety)10,000 x 20% => 2000 (depression)
Depression / Staff2000 / 200 => 10 cases per staff member
8%
DT37%
DepT23%
AngT18%
AnxT47%
4%
7%
1%
1%
9%
3%
0%
2%
4%
15%
3%
2%
Nil41%
Non-Nil59%
DT
AnxT AngT
DepT
What is the Aim of Psycho-Oncology?What is the Aim of Psycho-Oncology?
1. Reduce distress & emotional disorders =>Desensitization by direct intervention
2. Promote detection & treatment by cancer staff=>Screening
3. Treat less common psychiatric disorders=> delirium, dementia, psychosis, mania
4. Promote Quality of life⇒ Regardless of stage, age, cancer type of prognosis
5. Do we influence survival?=> Observations vs interventional studies
0
10
20
30
40
50
60
70
80
Fatig
uePa
inLa
ck o
f ene
rgy
Wea
knes
sAp
petit
e lo
ssNe
rvou
snes
sW
eigh
t los
sDr
y m
outh
Depr
esse
d m
ood
Cons
tipat
ion
Wor
ryin
gIn
som
nia
Dysp
nea
Naus
eaAn
xiet
yIrr
itabi
lity
Bloa
ting
Coug
h
Cogn
itive
sym
ptom
sEa
rly s
atie
tyTa
ste
chan
ges
Sore
mou
th/
Drow
sine
ssEd
ema
Urin
ary
sym
ptom
sDi
zzin
ess
Dysp
hagi
aCo
nfus
ion
Blee
ding
Neur
olog
ical
Hoar
sene
ssDy
spep
sia
Skin
sym
ptom
sDi
arrh
eaPr
uritu
sHi
ccup
Self-Reported Symptoms in Cancer by FrqSelf-Reported Symptoms in Cancer by Frq
Very Common
Uncommon
Quite Common
Top 10 patient concernsTop 10 patient concerns
1 Anxiety 312
2 Family concerns 157
3 Independence/Role 122
4 Appearance 1115 Pain 866 Sleep 767 Fatigue/Energy 718 Finances 639 Weight 52
10 Breathing 49
Help SeekingHelp SeekingDo patients always ask for help when needed?
% Receiving Any treatment for Depression% Receiving Any treatment for Depression
10.9 11.3
8.18.8
4.3
5.6
10.9
13.8
6.8
17.9
3.4
5.5
15.4
7.2
0
2
4
6
8
10
12
14
16
18
20
High Inc
omeBelg
ium
France
German
y
Israe
l
Italy
Japa
nNeth
erlan
dsNew
Zeala
nd
Spain USALow
Inco
me
ChinaColom
biaSouth
Afri
caUkra
ine
Wang P et al (2007) Lancet 2007; 370: 841–50
n=84,850 face-to-face interviews
% Receiving Any treatment for Mental Health% Receiving Any treatment for Mental Health
7.2
34.6
5.7 6.3 6.4
11.7
19.1
14
8.9
3.9 3.25.7
32.7
5 57.7
11
16.1
6.5 6.2
2.3 1.8
0
5
10
15
20
25
30
35
40
All P
atie
nts
Men
tal I
ll Hea
lth
No
Men
tal I
ll He
alth
No
chro
nic m
edic
al co
nditi
ons
1 ch
roni
c m
edica
l con
ditio
n2
chro
nic
med
ical c
ondi
tions
3 ch
roni
c m
edica
l con
ditio
ns
18-4
4 ye
ars
45-6
4 ye
ars
65-7
4 ye
ars
75+
Cancer n=4878
No Cancer n=90,737
Maria Hewitt, Julia H. Rowland Mental Health Service Use Among Adult Cancer Survivors: Analyses of the National Health Interview Survey Journal of Clinical Oncology, Vol 20, Issue 23 (December), 2002: 4581-4590
462 (42%)Meetable Needs
1093 (100%)Population
388 (84%)Aware of Need
172 (44%)Requested Help
80 (47%)Needs Met
462 needs
17.3%
322 DSMIV
25%
Illness InformationIllness InformationAre we providing necessary information promptly and appropriately?
In 196190% of US doctors indicated a preference for not
telling a diagnosis of cancer.
In 197997% indicated a preference for revealing a diagnosis
of cancer.
Novack DH, Plumer R, Smith RL, et al. Changes in physicians’ attitudes toward telling the cancer patient. JAMA 1979; 241: 897–900.
Information DeliveryInformation Delivery
Trusted Sources of InformationTrusted Sources of Information
Women’s Information Preferences Women’s Information Preferences
Check with me that I understand what he/she is saying 99 1
Give me an opportunity to ask questions 99 1
Explain any medical terms 98 2
Listen to my fears and concerns 97 3
Summarize what he/she has told me 94 6
Emphasize the good aspects of my prognosis 90 10
Give me published information on my situation 88 12
Tell me where I can go for additional emotional help 80 20
Write down what he/she has told me 79 21
Give me emotional support 79 21
Talk to me about complementary therapies, 75 25
Give me an audio tape of the discussion 28 72
Check with me that I want to know my prognosis 63 37
N=100 Early breast cancer Lobb et al (2000) Health Expectations, 4, pp.48±57
Disclosure of DiagnosisDisclosure of Diagnosis
Family wishes
Palliative vs curative treatment
Overall prognosis
Need for compliance
Patient “emotionally strong”
Patient wishes to know
Patient is religious
Patient in younger
Diagnosis certain
Psychiatric DisordersPsychiatric DisordersWhat are the common psychiatric complications of cancer?
MoodPsychosis
Cognition
Unipolar Depression
Bipolar Affective Disorder
Adjustment Disorder
Anxiety Disorders
Post-Partum Affective Disorders
Organic Affective Disorders
Brief Reactive Psychosis
Schizophrenia
Persistent Delusional Disorder
Organic Psychosis
Delirium
Dementia
Organic Amnesic Syndrome
DepressionDepressionCan we better understand depression in the context of cancer?
Two+ Key symptoms:• persistent sadness or low mood; and/or• loss of interests or pleasure• fatigue or low energy.
Two+ associated symptoms:• disturbed sleep• poor concentration or indecisiveness• low self-confidence• poor or increased appetite• suicidal thoughts or acts• agitation or slowing of movements• guilt or self-blame.
=> Mild 4/10 Moderate 6/10 Severe 8/10
Core Symptoms ICD10 DSMIV
Persistent sadness or low mood Yes (core) Yes (core)
Loss of interests or pleasure Yes (core) Yes (core)
Fatigue or low energy Yes (core) Yes
Disturbed sleep Yes Yes
Poor concentration or indecisiveness
Yes Yes
Low self-confidence Yes No
Poor or increased appetite Yes No
Suicidal thoughts or acts Yes Yes
Agitation or slowing of movements
Yes Yes
Guilt or self-blame Yes Yes
Significant change in weight No Yes
Lung (43%)BrainHodgkin’s diseasepancreaslymphomaliverhead and neckBreast (35%)leukaemiamelanomacolonprostategynaecological (29.6%)
Zabora J, et al The prevalence of psychological distress by cancer site. Psycho-Oncology 2001;10(1):19 –28. n=4496,
Cancer RelatedPoor Quality of Life = StrongPain = Moderate - StrongLater stage disease / poorer prognosis = moderateGreater uncertainty about the future = moderategreater disease burden / complications = weak
Non-Cancer Relatedyounger age = weakLack social support = moderatePrevious depression = moderateAdditional difficulties = strong
Help!Help!
2x2 Help Table2x2 Help Table
Clinician thinks:Help Needed
Clinician thinks:Help Not Needed
Patient Says:Help Wanted
=> Intervention => Refuse?
Patient Says:Help Not Wanted
=> Delay =>Agree discharge
2x2 Clinician Help Table : ACTUAL HELP2x2 Clinician Help Table : ACTUAL HELP
Clinician thinks:Unmet Needs
Clinician thinks no Unmet Needs
Patient Says:Help Wanted
=> Intervention => Low grade
Patient Distressed => Intervention =>??
Patient Not distressed orHelp Not Wanted
=> Monitor? => discharge?
2x2 Clinician Help Table : ACTUAL HELP2x2 Clinician Help Table : ACTUAL HELP
Clinician thinks:Unmet Needs
Clinician thinks no Unmet Needs
Patient Says:Help Wanted
Helped 1/3 Helped 1/2
Patient Distressed
Helped 2/3 Helped 1/2
Patient Not distressed orHelp Not Wanted
Helped 1/4 Helped 1/6
Help – Who Wants Help?Help – Who Wants Help?
20% said they wanted professional help for psychosocial issues.
Only 36% of those distressed on the DT wanted help.
What Kind of Help is Wanted?What Kind of Help is Wanted?
19% wanted medication (eg antidepressants)
31% want self help guidelines
31% wanted group therapy
56% wanted illness information.
58% complementary therapies
62% face-to-face psychological support
Help – Who From?Help – Who From?
Nurse specialists (54%)
Family and friends (21%)
Spiritual advisor (8%)
Psychiatrist (4%).
Why Not Needed?Why Not Needed?
“getting help elsewhere” (57%)
“feel well” (41%)
“coping on my own” (31%)
“fear of stigma”, “fear of side effects”, “not likely to be effective for me”, and “don’t like to talk about problems” (all less than 10%)
Promoting recognition & treatmentPromoting recognition & treatment
Do Clinicians Look for Depression/Distress?Do Clinicians Look for Depression/Distress?
Mitchell, Kaar, Coggan, Herdman (N=226)
AA Formal QQ6%
Clinical Skills Alone63%
Refer to Specialist1%
Ultra-Short QQ30%
Mitchell, Kaar, Coggan, HerdmanN=226
Distress Thermometer – PooledDistress Thermometer – Pooled
Proportion
18 .4 %
12 .9 %
11.2 %12 .3 %
8 .1%
11.9 %
5.0 %
2 .8 % 2 .6 %
7.7% 7.2 %
0.0%
2.0%
4.0%
6.0%
8.0%
10.0%
12.0%
14.0%
16.0%
18.0%
20.0%
Zero One Two Three Four Five Six Seven Eight Nine Ten
Insignificant SevereModerateMildMinimal
p124
50%
Comment: Slide illustrates diagnostic accuracy according to score on DT
11.815.4
30.4 28.9
41.9 42.9 40.7
57.1
82.4
66.771.4
15.8
25.0
26.124.4
19.4 19.0
33.3
21.4
11.8
22.2 14.3
72.4
59.6
43.546.7
38.7 38.1
25.921.4
5.911.1
14.3
0.0
10.0
20.0
30.0
40.0
50.0
60.0
70.0
80.0
90.0
100.0
Zero One Two Three Four Five Six Seven Eight Nine Ten
Judgement = Non-distressedJudgement = UnclearJudgement = Distressed
Phase II