ARTICLE
Auteur(s) : Matilde Forghieri1, Caterina Longo2,
Gian Maria Galeazzi3, Marco Rigatelli1,
Stefania Seidenari2, Giovanni Pellacani2
1Department of Neuroscience TCR, Section
of Psychiatry, University of Modena and Reggio
Emilia
2Department of Dermatology, University
of Modena and Reggio Emilia, Via del Pozzo 71, 41124
Modena, Italy
3Newham Rehabilitation and Recovery Team, East
London NHS Foundation Trust
accepté le 8 Ao�t 2010
Melanoma (MM) incidence is increasing worldwide with different
trends for Caucasian populations in respect to darker skinned
groups [1]. Early diagnosis represents the key issue for secondary
MM prevention, aiming to improve MM prognosis by identifying thin
MMs, since no therapy has been proven to be effective in advanced
stages [2]. Many efforts have been made to promote screening
campaigns offering free access examinations for pigmented lesion
and health education. Since the year 2000, skin cancer screening
campaigns (Euromelanoma Day) have been organized in Europe. The
efficacy of these campaigns in reaching high risk individuals and
detecting a significant number of skin tumours is still matter of
debate. Although screening campaigns in Belgium seemed effective in
detecting early stage MMs in a large number of patients, results in
other European countries showed very low rates of detection and a
high number of worried healthy attendees [3-5]. Recently, results
in screening campaigns in Greece, from 2000 to 2004, showed that
the population accessing screening campaigns was predominantly
represented by young women with few pigmented lesions, while only a
small fraction belonged to the group more frequently presenting
with thicker MMs, such as elderly men. This may explain the low
reported MM detection rate per year (0.35%) [6]. These data
highlight the need to better design MM detection campaigns in order
to attract older age groups and people at high risk of developing a
MM [3, 4].
Patient delay in seeking medical attention for MM, defined as
the time from the patient's first awareness of a symptom or sign,
to the first consultation with the physician, is directly related
to a higher morbidity and mortality rate [7] and constitutes one of
the main challenges in designing prevention campaign strategies.
Delay factors in MM detection are both doctor and patient related.
Doctor related factors, connected to the diagnostic ability of
recognizing a malignant lesion, seem to account for only a small
part of the total delay [8-10]. Patient delay is related both to
sociodemographic features, such as male gender, older age, poorer
educational level, living in a rural area, unemployment [11-13] and
psychological elements, such as levels of awareness and
sensitization to this kind of malignant lesion [14, 15], a
tendency to minimise the seriousness of the condition [16] and a
hypothesized psychological personality profile, defined by passive,
bland, appeasing and helpless traits [17].
No conclusive study exploring the psychological aspects of
patients presenting cancer delay using standardized and validated
psychometric instruments is currently available. The purpose of our
study was to compare sociodemographic variables and psychological
profiles, in terms of personality traits and attitude toward
illness, emerging from 5 validated psychometric tests of
people accessing a skin cancer preventive campaign, with those of a
group of patients newly diagnosed with MM, in usual clinical
practice. We tested the hypothesis that the psychological profile
of subjects attending the MM screening day would differ from that
patients diagnosed with MM following the usual clinical pathways,
and, also, that there would be differences among patients with late
vs early MM diagnosis. We believe that this exploration could lead
to insights as to how to more effectively target preventive
campaigns.
Materials and methods
A written informed consent was obtained for each patient. The
psychometric test battery consisted of 156 items and required
about 40 minutes to complete.
The study population consisted of two groups:
- – MM patient group was formed of 50 newly diagnosed
MM patients consecutively referred from 01/05/06 to 1/11/06 to the
Dermatology Department of the University of Modena and Reggio
Emilia. 42 patients completed the questionnaire before
diagnosis communication;
- – the MM screening group was made up of the first
50 patients accessing the EUROMELANOMA Day prevention campaign
(EMD) held at the Dermatology Department of the University of
Modena and Reggio Emilia. 46 patients returned the
questionnaire. No patient was diagnosed with MM as a result of the
screening. Sociodemographic data concerning age, sex, living area
(urban/rural), educational level (elementary and middle school/high
school and university), living situation (alone/with partner) were
collected for both groups. Each subject completed the following
self-administered psychometric standardized instruments in their
validated Italian version:
- – the Harm Avoidance subscales of the Temperament and
Character Inventory (TCI) [18], a 36 item subscale exploring
individual propensity to avoid risky and unpleasant events, which
yields a total score and four subscale scores: fearful,
pessimistic, shy and fatigable;
- – the Ways of Coping Scale (WCS) [19], a 36 item
scale assessing thoughts and actions used to cope with stressful
encounters of everyday living which gives the following subscale
scores: planned problem solving, seeking social support,
escape-avoidance and their respective ratios;
- – the Multidimensional Health Locus of Control Scale
Form B (MHLC) [20], an 18 item scale used to assess the
perception of health control and structured into three dimensions:
internality, powerful others and chance;
- – the Illness Behaviour Questionnaire (IBQ) [21-23] a
62 item questionnaire exploring dysfunctional reactions
towards disease clustered into seven dimensions: general
hypochondriasis, disease conviction, somatic perception, affective
inhibition, affective disturbance, denial, irritability;
- – the scale developed by Meechan et al. [24] to
measure emotional response to cancer symptom discovery, consisting
of 4 items evaluating individual illness reaction in term of
being afraid, anxious, distressed and scared.
The MM population was evaluated for clinical measurable
characteristics of MM, such as body site, clinical ABCD and
diameter. For each case, Breslow's thickness was reported. Since
patient-related MM delay is influenced by characteristics of the
melanoma and of the individual, we identified within the whole MM
patients two subgroups: one group of patients able to recognize
difficult to spot MM (good-detectors, GD) and another, including
those diagnosed with advanced clearly visible cancers
(bad-detectors, BD). GD were, for the aims of this study, those
diagnosed with: thin MMs (Breslow's thickness < 1 mm), with a
small size (< 1 cm) with only one out of four ABCD criteria
present, and with lesions located on not easily explorable body
sites (scalp, back, buttocks, and posterior thighs). On the
contrary, BD were defined by: MMs thicker than 1 mm, larger
than 1 cm, showing at least two or more ABCD criteria and arising
on a visible location (anterior body site and upper limbs).
32 of the 42 MM patients matched histo-clinical criteria
and could be included in the two sub-groups (GD and BD), whereas it
was not possible to attribute 10 cases to one of the two
sub-groups.
The study obtained approval by the Modena and Reggio Emilia
University Ethical Review Board and was conducted according to the
last version of the Declaration of Helsinki.
Descriptive statistics were used to describe sociodemographic
characteristics of the population and psychometric instruments
scores. The Mann-Whitney U Test and Pearson Chi Square test were
used to compare the MM population and its two subgroups with EMD
patients and to compare psychometric scores between GD and BD
populations.
Results
The sociodemographic characteristics explored in the four groups
are presented in table 1. There
were no statistical differences concerning age, educational level
and living situation in the comparison between the MM patient
group, GD and BD subgroups and the EMD group; gender distribution
was significantly different between the BD group and EMD group (p
< 0.05), showing a predominance of males in the former group.
MM, GD and BD patients more frequently lived in a rural area
(respectively p < .01, p < .05 and p < .01) than EMD
patients, who predominantly lived in urban areas.
Psychometric scale and subscale scores of the four groups are
described in table 2.
None of the TCI Harm Avoidance scale scores differed among
groups, except for the Fearful domain, which was significantly
higher in BD versus GD (p < .05). WCS scores did not
significantly differ among groups. Powerful Others scale of the
MHLC was statistically higher (p < .05) in BD compared to GD.
General Hypochondriasis scale of the IBQ in GD was significantly
lower than both in EMD (p < .05) and BD (p < .01) groups.
Affective disturbance and irritability scales of the IBQ were
higher in BD than in GD patients (respectively p < .05 and p
< .01). This latter scale was also significantly higher in EMD
compared to GD patients (p < .01). None of the Meechan Scale
items statistically differed in the four groups.
Table 1 Sociodemographic characteristics
of the study population
|
MM (N = 42)
|
GD (N = 10)
|
BD (N = 22)
|
EMD (N = 46)
|
|
Age
|
|
Median (S.D.)
|
58.50 (± 13.70)
|
59.00 (± 19.13)
|
56.50 (± 11.11)
|
54.50 (± 11.08)
|
|
Gender
|
|
Male %
|
58.5
|
50
|
68.2*
|
43.5
|
|
Female %
|
41.5
|
50
|
31.8*
|
56.5
|
|
Living area
|
|
Urban %
|
47.5**
|
44.4*
|
40.9**
|
76.1
|
|
Rural %
|
52.5**
|
55.6*
|
59.1**
|
23.9
|
|
Educational level
|
|
Elementary and Middle School%
|
47.50
|
33.3
|
45.5
|
32.60
|
|
High School and University%
|
52.50
|
66.7
|
54.5
|
67.40
|
|
Living situation
|
|
Alone%
|
10
|
0
|
13.6
|
6.8
|
|
With partner%
|
90
|
100
|
86.4
|
93.2
|
Table 2 Psychometric scale and subscale scores
of the study population
|
MM (N = 42)
|
GD (N = 10)
|
BD (N = 22)
|
EMD (N = 46)
|
|
TCI (harm avoidance total score) Mean (S.D.)
|
13.95 (7.25)
|
10.20 (7.33)
|
14.32 (6.02)
|
14.24 (7.03)
|
|
TCI (harm avoidance fearful) Mean (S.D.)
|
3.81 (2.52)
|
2.30 (1.95)°
|
4.09 (2.02)°
|
3.89 (2.44)
|
|
TCI (harm avoidance pessimistic) Mean (S.D.)
|
4.36 (2.68)
|
3.40 (2.50)
|
4.14 (2.27)
|
4.43 (2.58)
|
|
TCI (harm avoidance shy) Mean (S.D.)
|
4.07 (2.30)
|
3.50 (2.60)
|
4.00 (1.95)
|
4.17 (2.26)
|
|
TCI (harm avoidance-fatigable) Mean (S.D.)
|
18.07 (9.87)
|
13.00 (9.71)
|
18.95 (8.78)
|
18.46 (9.57)
|
|
WCS total score Mean (S.D.)
|
22.36 (9.17)
|
21.70 (10.80)
|
22.27 (6.96)
|
22.41 (9.17)
|
|
WCS (planful problem solving) Mean (S.D.)
|
8.36 (4.05)
|
8.00 (4.40)
|
8.64 (3.37)
|
8.26 (4.08)
|
|
WCS (seeking social support) Mean (S.D.)
|
8.21 (4.04)
|
8.40 (4.30)
|
7.41 (3.06)
|
8.28 (3.89)
|
|
WCS (escape avoidance) Mean (S.D.)
|
5.79 (3.77)
|
5.30 (4.47)
|
6.23 (3.34)
|
5.87 (3.82)
|
|
MHLC (internal control) Mean (S.D.)
|
20.76 (7.4)
|
23.10 (6.15)
|
20.95 (7.23)
|
21.02 (7.29)
|
|
MHLC (chance) Mean (S.D.)
|
15.86 (6.76)
|
15.40 (5.93)
|
16.59 (6.91)
|
16.33 (6.68)
|
|
MHLC (powerful others) Mean (S.D.)
|
17.95 (6.74)
|
15.20 (4.37)°
|
19.55 (7.32)°
|
18.07 (6.49)
|
|
IBQ (general hypochondriasis) Mean (S.D.)
|
2.17 (2.01)
|
.90 (1.45)*°°
|
2.55 (2.11)°°
|
2.07 (1.96)
|
|
IBQ (disease convinction) Mean (S.D.)
|
1.60 (1.25)
|
1.40 (1.43)
|
1.59 (1.33)
|
1.57 (1.22)
|
|
IBQ (somatic perception) Mean (S.D.)
|
2.19 (.99)
|
1.80 (.92)
|
2.41 (.73)
|
2.26 (.98)
|
|
IBQ (affective inhibition) Mean (S.D.)
|
2.05 (1.43)
|
1.70 (1.57)
|
2.50 (1.3)
|
2.15 (1.41)
|
|
IBQ (affective disturbance) Mean (S.D.)
|
1.83 (1.62)
|
.90 (1.10)°
|
2.18 (1.62)°
|
1.87 (1.65)
|
|
IBQ (denial) Mean (S.D.)
|
3.07 (1.50)
|
3.10 (1.37)
|
3.18 (1.56)
|
2.98 (1.50)
|
|
IBQ (irritability) Mean (S.D.)
|
2.10 (1.25)
|
1.10 (1.10)**°°
|
2.45 (1.1)°°
|
2.11 (1.21)
|
|
MEECHAN SCALE (afraid) Mean (S.D.)
|
1.74 (1.02)
|
1.80 (1.09)
|
1.62 (.81)
|
1.72 (.99)
|
|
MEECHAN SCALE (anxious) Mean (S.D.)
|
2.27 (.96)
|
2.33 (1.03)
|
2.33 (1.05)
|
2.25 (.97)
|
|
MEECHAN SCALE (depressed) Mean (S.D.)
|
2.00 (.98)
|
1.80 (1.09)
|
2.21 (.97)
|
1.92 (.97)
|
|
MEECHAN SCALE (scared) Mean (S.D.)
|
1.21 (5.89)
|
1.40 (.89)
|
1.07 (.27)
|
1.19 (.57)
|
|
MEECHAN SCALE total score Mean (S.D.)
|
4.36 (4.03)
|
3.90 (4.33)
|
4.86 (3.85)
|
4.22 (3.98)
|
Discussion
Delay in seeking medical attention for symptoms signalling cancer
seems to be associated to different variables: administrative
difficulties, physician-related variables and patient-related
variables, depending most probably both on contextual variables
(such as gender, age, ethnic background, educational level,
employment, marital status), and on psychological ones [25].
However, it is still unclear if and how personality factors
influence patient-related delay in cancer diagnosis. Considering
surgical resection the gold standard intervention for MM, early
diagnosis is still nowadays the most useful instrument to guarantee
a better prognosis in term of morbidity and mortality [11, 12].
Prevention campaigns are designed to reach early stage
asymptomatic MM patients who, otherwise, would ask for
dermatological consultation later in their clinical history.
Despite their availability, preventive campaigns fail in their aim
to involve targeted patients who could benefit from dermatological
early detection and intervention. The aim of our study was to
compare people adhering to a skin cancer prevention campaign,
representative of a targeted, health conscious and alerted
population, with MM patients diagnosed after having followed the
usual clinical pathway. Another aim was to identify significant
differences in psychological characteristics in order to better
design preventive campaigns, aiming at the recruitment of subjects
more prone to delay diagnosis and have thick MMs.
Previous studies considered Breslow's thickness the sole proxy-
“measure” of delay and did not take into account specific kinds of
MMs, such as the nodular type, hypo/amelanotic MMs, desmoplastic
ones, which are characterized by a rapidly growing index and
uncommon clinical presentation [26]. For these reasons, patient
delay could not be attributed in all cases to a poor ability to
self-detect the tumour, but it could be partially referred to
peculiar neoplastic biologic behaviours [27, 28]. Therefore, we
supposed that patients showing thin “inconspicuous” MMs, located in
not easily explorable body sites, may be characterized by a sort of
“awareness” for skin conditions. They probably tend to take care of
their health status by performing skin-self examination or
attending periodical medical visits, in contrast with patients
presenting thicker and very anaesthetic cancers, located in easily
explorable body sites, where the diagnostic delay may be strongly
related to patient factors. Even though several subjective criteria
influence the individual process leading to consult the clinician,
we limited ourselves to defining delay entity with the help of
strictly objective measurable indexes, the subjective ones being
not clearly defined and measurable.
Thus, we divided the MM patient population into two subgroups to
explore differences in psychological features and to generate
hypotheses on the causes of delay in patients where efforts for
early diagnosis may be realistically effective in reducing the
incidence of thick tumours, as similarly investigated for rectal
and breast cancers [29, 32]. Risvedt and Trinkaus explored patient
delay for treatment in rectal cancer, identifying a relationship
between symptom appraisal, accounting for over two thirds of the
delay, and low scores registered at the TCI Harm Avoidance scale
[29]. Other studies exploring patient delay in breast cancer [24,
30-32] found that symptom-specific anxiety, but not general anxiety
and initial emotional response to the discovery of breast symptoms,
were related to diagnostic delay. Both in rectal and breast cancer
studies, sociodemographic factors were not significantly related to
delay.
In our study, MM patients were generally living in a rural area
whereas EMD ones usually came from an urban context. It is possible
that in urban settings a more accurate diffusion of information
concerning screening campaigns is available. Also, these subjects
may have had easier access to the Hospitals involved in the
campaign. As in previous research in the melanoma field, the BD
group patients were predominantly male and rural-area inhabitants,
but we could not find any statistical difference in age, living
situation and educational level, in contrast with previous
investigations [11, 12, 28]. Sociodemographic data depicting the
EMD population in our research only partially overlap those
gathered in studies conducted in other countries on melanoma
screening campaign subjects. Data showed a less consistent
sociodemographic gap between EMD and MM patients, possibly
suggesting that the general MM population is not too far from the
one attending the screening campaign and this might be an
encouraging stimulus in trying to further reduce the distance
between the two.
We could not find any statistical differences between the EMD
and MM groups in terms of personality traits potentially involved,
coping strategies generally used to face illness conditions, health
control modalities, dysfunctional reaction and emotional response
toward disease, although the objective stressing situation in which
participants were at the moment they were interviewed
consistently differed: the EMD subjects having voluntarily decided
to attend the screening campaign, the MM patients having been
summoned for removal of a suspected skin lesion.
Data showed significant statistical differences only when the GD
and BD sub-groups were compared. Even though we found no
statistical difference in TCI Harm Avoidance total scores, the
Fearful subscale scored significantly higher in BD patients.
Interestingly, BD were furthermore characterized by higher scores
in MHLC Powerful Others and IBQ General Hypochondriasis, Affective
Disturbance and Irritability subscales, suggesting that denial or
indifference toward the presence of a modified skin lesion were not
specific features of BD patients. On the contrary, they appeared as
people generally worried about illness but who did not usually tend
to address their physical problems effectively, lacked
self-confidence and believed they could control and master their
health problems. BD patients usually tended to be more affectively
disturbed and feel helpless towards events, passively waiting for
an external modification of their situation. This could suggest the
influence of a depressive condition in this group of patients, as
also reported for other kinds of malignant lesions [33, 34].
Our research represents a preliminary attempt to investigate
potential variables which might explain why, despite the increasing
availability of melanoma preventive campaigns, we still fail to
reach the targeted population who might benefit from an early
diagnosis intervention. In fact, as already showed by previous
studies [3-5], none of the attendants at the screening had a
malignant lesion diagnosed during the prevention campaign.
Following previous studies, which have already underlined the
potential relationship between delay and patient psychological
variables, we focused on a possible connection existing between
general individual attitudes towards illness and reasons for
delaying medical consultation in the dermatological field.
Despite preliminary data presented for other kind of tumours, we
found significant differences only when we specifically explored
the MM population comparing GD to BD patients. This suggests that
other psychopathological variables, not personality traits, related
but more stressful event states, induced and connected psychiatric
comorbidities, could have a prevalent role in the patient decision
process to see a clinician.
Moreover, our study presents several limitations to be
considered, such as the small sample size, especially concerning
the two MM sub-groups analyzed. It should be underlined that the
psychometric testing was specifically tailored and required about
40 minutes for each patient to complete, usually including the
presence of a trained operator to answer participants’ questions.
Furthermore, the design of the study did not allow for the
exploration of possible causal effects which were not previously
included in the protocol, both from a dermatological and
psychopathological point of view. Despite this, our preliminary
data suggest that there is a need to better explore the
psychological traits of BD patients with the help of validated
psychometric instruments, in order to identify possible preventive
strategies. Future studies should better explore the possible
impact on diagnostic delay of mood and anxiety alterations in MM
patients, as reported for other cancers [29]. Psychometric scores
indicated that BD patients are generally aware and tend to react in
a phobic manner to medical recommendation. At the same time they
appear to favour external and more assertive help, which would
suggest choosing a more direct approach in proposing a different
prevention campaign, relying on nominal leaflets in
patient-addressed letters.
Conclusion
Our work highlights the different psychological traits of BD who
may need to be reached by a more direct message on skin cancer
prevention. It implies that, when designing preventive campaigns,
different strategies have to be considered in order to impact on
behaviour changes of those patients.
Disclosure
Financial support: none. Conflict of interest: none.
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