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ORIGINAL ARTICLE
Utility Assessment of Body Contouring After Massive Weight Loss
Hani Sinno • Stephanie Thibaudeau •
Youssef Tahiri • Elise Mok • George Christodoulou •
Lucie Lessard • Bruce Williams • Samuel J. Lin
Received: 25 November 2010 / Accepted: 31 January 2011 / Published online: 13 April 2011
� Springer Science+Business Media, LLC and International Society of Aesthetic Plastic Surgery 2011
Abstract
Background The number of surgical procedures performed
for obesity and massive weight loss (MWL) is increasing. The
authors set out to quantify the health state utility assessment
of living with MWL that can occur after such procedures.
Methods Utility assessments using the visual analog scale
(VAS), time trade-off (TTO), and standard gamble (SG)
were used to obtain utilities for MWL, monocular blind-
ness, and binocular blindness from a sample of the general
population and medical students.
Results All the measures for MWL of the 100 volunteers
(VAS, 0.79 ± 0.13; TTO, 0.89 ± 0.12; SG, 0.89 ± 0.15)
were significantly different (p \ 0.005) from the corre-
sponding measures for monocular blindness (0.63 ± 0.18,
0.84 ± 0.17, and 0.86 ± 0.16, respectively) and binocular
blindness (0.31 ± 0.17, 0.63 ± 0.28, and 0.66 ± 0.27,
respectively) except for the SG utility measure comparing
monocular blindness with MWL. Age was inversely pro-
portional to the TTO utility scores for MWL (p \ 0.05).
Caucasian race and medical education were independent
predictors of SG utility scores (p \ 0.05).
Conclusion In a sample of the general population and
medical students, SG utility assessments for MWL were
comparable with those for monocular blindness. Utility
assessment of living with MWL varied with race (VAS and
SG) and education (SG). The sample population, if faced
with MWL, would consent to undergo a procedure such as
body contouring with an 11% chance of death and be
willing to trade 4 years of their life.
Keywords Binocular blindness � Body contouring �Massive weight loss � Monocular blindness � Obesity �Quality assessment � Quality adjusted life years � QALY
Introduction
Body contouring for the massive weight loss (MWL) patient
can serve as both aesthetic and functional procedures. These
procedures generally address the stigmata of MWL includ-
ing redundant skin and unwieldy subcutaneous tissue creat-
ing an unattractive appearance, problems of hygiene and skin
irritation, pain, intertrigo, and decreased activity.
Patient satisfaction after body-contouring surgery gen-
erally is high due to improved body image, enhanced
ability to fit clothes, and decreased skin irritation. As with
any procedure, body contouring has its own risks and
complications including infection, hematoma and seroma
formation, deep vein thrombosis, and pulmonary embo-
lism. It still is debated whether the long-term benefit that
patients receive from body-contouring procedures is worth
the increased perioperative risks.
Utility scores ranging from 0 (death) to 1 (perfect
health) are a standardized tool that helps to objectify health
states or disease. These scores allow a comparable quan-
titative value for individual health states that can be used in
health economic decision analysis to determine how health
resources should be allocated for treatment and research.
H. Sinno � S. Thibaudeau � Y. Tahiri � E. Mok � L. Lessard �B. Williams
Division of Plastic Surgery, McGill University, Montreal, QC,
Canada
G. Christodoulou
Faculty of Medicine, McGill University, Montreal, QC, Canada
S. J. Lin (&)
Division of Plastic Surgery, Beth Israel Deaconess Medical
Center, Harvard Medical School, 110 Francis Street Suite 5A,
Boston, MA 02215, USA
e-mail: [email protected]
123
Aesth Plast Surg (2011) 35:724–730
DOI 10.1007/s00266-011-9676-1
In this particular setting, utility scores help to objectify
the health burden of living with excess skin and tissue after
MWL. This information can shed some light on the impact
this health state has on patients and thus guide surgical
decision making and influence health insurance coverage
for procedures such as body contouring.
Several validated tools for determining utilities exist
[1–4]. The use of more than one tool minimizes the weak-
nesses of any individual tool such as standard gamble (SG)
[5], time trade-off (TTO) [6], or visual analog scale (VAS)
[7]. Utilities can be measures from a sample of the general
population based on a case presentation of the health state in
question [3, 4]. We used an Internet-based Web site to recruit
a large population-based sample without the need for expert
interviewers, which reduced study expenses considerably [4].
Utilities for the MWL patient objectify this health state
and allow comparison with other diseases. Thus, our pri-
mary objective was to compare the health state utility
assessment of living with MWL and that for monocular and
binocular blindness using three separate tools to measure
utility scores (SG, TTO, and VAS) for a sample of the
general population and medical students. We also aimed to
determine whether the utility assessment of living with
MWL varies with age, race, and education.
Methods
The McGill University Research Ethics Board in accordance
with the Declaration of Helsinki ethical guidelines for human
subject research approved this study. All volunteers signed
an electronic informed consent. The patient whose photo was
used in this study signed a written consent for use of her
photo for publication, presentation, and research purposes.
An open-enrollment, Internet-based utility assessment
Web site was created to extract the utilities for the MWL
patient who may require body contouring. Medical students
at McGill University, Montreal, Quebec, were recruited by
email on a voluntary basis. Recruitment of participants
from the general population was performed by a link to our
Web site through the Web sites of online classified ads
(www.craigslist.org and www.kijiji.com).
The study was open until the sample size reached 100.
Volunteers were asked to complete anonymous demo-
graphic and health state questionnaires as well as utility
assessments for the MWL patients. Single- and double-eye
blindness scenarios were used to assess the comprehension
of the volunteers for the study. Only participants who
correctly rated double-eye blindness with a lower utility
score (i.e., higher morbidity) than single-eye blindness
were included in the study. Figure 1 shows the schematic
of our Web site survey. To minimize multiple entries, a
valid email address was required for participation.
A health state description of post-MWL was constructed
based on both clinical experiences of patients with similar
conditions treated at the McGill University Health Center
and expert opinion:
Imagine yourself like ‘‘Jane’’:
I have lost a lot of weight and as a result was left with
excess skin in my abdominal (tummy) area.
I have no problems walking about.
I have no problems with self-care.
I have some problems performing my usual activities.
I have some pain or discomfort.
I have difficulty finding clothes that fit.
I am moderately depressed or anxious.
Furthermore, a representative photograph of a patient
after MWL was chosen to accompany the description
(Fig. 2).
Fig. 1 Schematic of the online survey. The participants were
introduced to the study and then presented with a consent form to
read and electronically sign. Only if the participants agreed to the
terms and conditions found in the consent would the study begin.
Otherwise, the participants were excluded from the study. To prevent
an anchoring effect, the health states and the utility assessments were
presented in random order [17]
Aesth Plast Surg (2011) 35:724–730 725
123
Three utility measures for assessment of health-related
quality of life were used in this study: VAS, TTO, and SG.
The VAS asked subjects to imagine themselves as the
MWL patient described and then score a value on a slide
bar scale from 0 (death) to 100 (perfect health). The utility
score was calculated from subjects’ ratings using the fol-
lowing formula: utility health state = score 7 100.
The TTO assessment asked volunteers to choose
between living a specified number of years in the described
health state (post-MWL) and ‘‘trading-off’’ some of those
years to live in perfect health. The number of years traded
off in the time trade-off task was sequentially alternated
using a bisecting search routine until the indifference point
was found.
For example, the volunteers were asked to imagine
themselves like the patient in the scenario shown in Fig. 2.
Next, they were given the choice of living in this health
state or having a procedure that would provide them with
perfect health at a price of shortening their life by 35 years.
If the volunteer declined the price of 35 years for perfect
health, they were asked whether they would accept a
shortening of 1 life-year for perfect health. If they agreed,
they then are asked whether they would accept a shortening
of 17.5 life-years. If they declined the 17.5 life-year
reduction, they were asked whether they would accept a
shortening of 8.75 life-years. Six iterations of this bisecting
algorithm were used to find the point of indifference at
which the volunteers would accept the time trade-off to
attain perfect health. The utility value was derived from
this indifference point using the following formula: util-
ity = (number of years specified in the described health
state - number of years traded off at the indifference
point) 7 number of years specified in the described health
state.
In the SG, subjects were asked to choose between two
options: either to remain in a given health state (e.g., post-
MWL) or to take a chance (gamble) with some probability
of success (perfect health) and some probability of failure
(death). Sequentially, percentages of success and failure
were presented until the subject was indifferent whether to
take the gamble or to remain in the described health state.
For example, the volunteers were asked to imagine
themselves like the patient in the Fig. 2 scenario. Next,
they were given the choice of living in this health state or
having a procedure that would provide them with perfect
health with a 50% chance of mortality. If the volunteer
declined the 50% chance of mortality, they were asked
whether they would accept a 1% chance of mortality for
perfect health. If they agreed, they then were asked whether
they would accept a 25% chance of mortality. If they
declined, they are asked whether they would accept a
12.5% chance of mortality. Six iterations of this bisecting
algorithm were used to find the point of indifference at
which the volunteers would accept the gamble (percentage)
of mortality to attain perfect health. The utility score was
derived from this point of indifference by the following
formula: utility health state = (1.00 - risk of death at the
point of indifference) 7 100, as previously done [8, 9].
The survey was completed by asking subjects to rate
their own health state using TTO and EuroQol [9]. A
demographic questionnaire also was included that inquired
about sex, age, education, income, and race of the volun-
teers. Finally, a 5-point Likert scale was presented to assess
the subjects’ understanding of the survey.
Statistical Analysis
The SPSS statistical software for Windows, PASW Sta-
tistics 18, Release 18.0.0 (SPSS, Inc., Chicago, IL, USA)
was used for statistical analysis. Continuous variables
(mean utility scores) were compared using the paired t test
(intragroup comparisons) and the independent t test
(intergroup comparisons). A linear regression was per-
formed using age, race, and education as independent
predictors for each of the utility scores (VAS, TTO, and
SG) for MWL. The chi-square test or Fisher’s exact test
Fig. 2 Anteroposterior photograph of a patient who presented for a
body-contouring consultation accompanied with the clinical descrip-
tion of a massive weight loss scenario
726 Aesth Plast Surg (2011) 35:724–730
123
was used to compare categorical variables. A p value less
than 0.05 was considered statistically significant.
Results
Over a 6-month enrollment period, 114 volunteers partic-
ipated in our survey. Of these volunteers, 14 were excluded
because they rated monocular blindness with a lower utility
score than binocular blindness. This occurrence was likely
due to the participants’ misunderstanding of the survey or
‘‘invalid’’ preference [10, 11]. As a result, 100 of the 114
unique responses (88%) were used for the utility assess-
ment. The excluded participants did not differ from the
study subjects in terms of age (33.6 ± 14.9 vs.
27.86 ± 9.8 years; p = 0.067) or sex (87% [68/78] of the
women vs. 90% [28/31] of the men were included;
p = 0.755). Five participants did not enter their gender.
The predominant race of volunteers was Caucasian (75%)
(Table 1).
All the measures for MWL (VAS, 0.79 ± 0.13; TTO,
0.89 ± 0.12; SG, 0.89 ± 0.15) were significantly different
(p \ 0.005) from the corresponding ones for monocular
blindness (0.63 ± 0.18, 0.84 ± 0.17, and 0.86 ± 0.16,
respectively) and binocular blindness (0.31 ± 0.17,
0.63 ± 0.28, and 0.66 ± 0.27, respectively) except for the
SG utility measure comparing monocular blindness with
MWL (p = 0.072) (Table 2).
The TTO utility scores for MWL of 0.89 ± 0.12 and the
SG utility scores of 0.89 ± 0.15 translate to a willingness
to sacrifice 4 years of their life and to undergo a procedure
with an 11% chance of death to attain perfect health,
respectively.
The MWL utility scores extracted from the VAS did not
differ between the medical students (n = 40; VAS,
0.80 ± 0.12) and the general public (n = 42; VAS,
0.79 ± 0.13) (p = 0.82). The utility scores of the MWL
patient were significantly higher for the medical students
(TTO, 0.91 ± 0.10; SG, 0.93 ± 0.01) than for the general
public (TTO, 0.85 ± 0.14; SG, 0.84 ± 0.19) (p \ 0.05)
(Table 3). No comment was made by 18 participants on
their education. The utility scores for the female partici-
pants did not differ significantly from those for the male
participants.
Linear regression analyses using age, race, and educa-
tion as predictors of each of the utility scores for MWL
showed that age was inversely proportional to the TTO
utility score (p \ 0.05), decreasing a utility score of 0.003
for every increase of 1 year of life. Race was a significant
predictor of VAS utility scores, with Caucasians scoring
0.1 points higher on the VAS than the other races
(p \ 0.01). Both race and education were significant pre-
dictors of SG utility scores (p \ 0.05). Specifically, the
Caucasians scored 0.1 points higher on SG than the other
races, and the medical students scored 0.1 points higher on
SG than the general population.
The respondents rated their own quality of life signifi-
cantly higher than the MWL patients (TTO, 0.93 vs. 0.89;
p \ 0.0001). The Likert scale (Table 4) shows that the
most challenging part of the questionnaire was to imagine
being the person described in the case example. Ten sub-
jects did not complete the scale.
Discussion
Body contouring after MWL addresses aesthetic, func-
tional, and emotional concerns. These procedures not only
allow for the excision of excess skin and fat but also
enhance a patient’s body image and self-confidence,
improve ability to fit clothes, and decrease skin irritation.
However, the associated perioperative risks including
bleeding, infection, and deep vein thrombosis are
Table 1 Demographics of the respondents to the online survey
including age, sex, race, education, and income
n (%)
Mean age (years) 27.89 ± 9.70
Gender
Females 68 (71)
Males 28 (29)
Race
African-American 1 (1)
Asian 7 (7)
Caucasian 57 (57)
Hispanic 3 (3)
Other 8 (8)
Prefer not to answer 24 (24)
Education
Some college 8 (10)
College graduate 18 (22)
Graduate or professional degree 16 (20)
1st year medical student 17 (21)
2nd year medical student 13 (16)
3rd year medical student 8 (10)
4th year medical student 2 (2)
Income
\$10,000 33 (33)
$10,000–25,000 7 (7)
$25,000–50,000 11 (11)
$50,000–100,000 5 (5)
[$100,000 1 (1)
Prefer not to answer 43 (43)
Aesth Plast Surg (2011) 35:724–730 727
123
significant and of concern to the treating plastic surgeon.
There still is no consensus as to whether body-contouring
surgery is a purely aesthetic or functional procedure and
thus whether it should be covered by select health insur-
ance plans. Nonetheless, certain insurance plans more
frequently cover certain procedures (e.g., panniculectomy)
than others (e.g., brachioplasty, lower body lift). Further-
more, it is uncertain whether the potential complications
associated with this procedure outweigh the benefits of
surgical treatment for the stigmata associated with MWL.
Findings have shown that bariatric surgery is a clinically
valuable and cost-effective intervention for morbidly obese
patients [12]. It has been shown that bariatric procedures
effectively decrease body weight and related medical risks
such as diabetes mellitus type 2 and cardiovascular disease.
The incidence of obesity and the number of bariatric pro-
cedures are significantly rising in the developed world.
However, little is known regarding patient quality of life
after MWL compared with that after body-contouring
surgery. Moreover, the literature lacks an objective mea-
sure for quality of life experienced by those living with the
stigmata after MWL who may benefit from body-con-
touring surgery.
We established a measure for the quality of life expe-
rienced after MWL by an Internet population and medical
students. The two sample populations did not differ in
their VAS utility score assessment. The nondiffering VAS
utility scores between the two populations can be
explained by the similar perception of living with the
stigmata of MWL.
The medical students and the sample from the general
population did, however, differ significantly in their TTO
and SG utility score assessments. The medical students
were less likely to trade 2 years of life or risk less than 9%
chance of death for a body-contouring procedure if faced
with MWL stigmata. This finding may be explained by
their higher awareness of the increased risks associated
with such surgery, including death.
Regression analyses using age, race, and education as
independent predictors of MWL utility scores showed that
age was inversely proportional to the TTO utility scores,
decreasing a utility score of 0.003 for every increase of
1 year in age. In other words, the older the volunteers were,
the less likely they were to sacrifice years of life for a
procedure such as body contouring if faced with MWL.
Another independent predictor of the VAS and SG
utility scores for MWL was being Caucasian. Caucasian
participants were less likely to risk a chance of death for
body-contouring procedures. The data suggest that Asians,
Hispanics, and other ethnic groups more negatively per-
ceived the stigmata of MWL because they were willing to
risk a greater chance of death for procedures such as body
contouring. In addition to race, education was an inde-
pendent predictor of the SG utility score, with medical
students scoring 0.1 points higher on SG than the general
population. Thus, medical students were less likely to risk
the chance of death for body-contouring procedures.
In a sample of the general population and medical stu-
dents, although utility scores (VAS, TTO, and SG) for
Table 2 Mean utility score for all the participants using the visual analog scale (VAS), time trade-off (TTO), and standard gamble (SG) to assess
living with the health burden of monocular blindness, binocular blindness, and massive weight loss (MWL)
Method Monocular blindness Binocular blindness MWL Self
VAS 0.63 ± 0.18a 0.31 ± 0.17a 0.79 ± 0.13
TTO 0.84 ± 0.17b 0.63 ± 0.28a 0.89 ± 0.12 0.93 ± 0.11a
SG 0.86 ± 0.16 0.66 ± 0.27a 0.89 ± 0.15
a p \ 0.0001 versus MWL (paired t test)b p \ 0.01 versus MWL (paired t test)
Table 3 Mean utility scores of massive weight loss (MWL) for the
medical students and the sample from the general populationa
Methods Medical students General public p Value
VAS 0.80 ± 0.12 0.79 ± 0.13 0.82
TTO 0.91 ± 0.10 0.85 ± 0.14 \0.05
SG 0.93 ± 0.01 0.84 ± 0.19 \0.05
VAS visual analog scale, TTO time trade-off, SG standard gamblea Comparison between the medical students and the general public
(t test)
Table 4 Likert scale for understanding the survey (5 = strongly
agree)
Item Likert scale
This survey was easy to understand 4.63 ± 0.14
This was not a confusing exercise 4.53 ± 0.15
I understood all the questions above 4.66 ± 0.14
I understood all the cases presented 4.69 ± 0.13
It was easy to imagine myself being the person in the
cases described
3.78 ± 0.21
Values are presented as mean ± standard deviation
728 Aesth Plast Surg (2011) 35:724–730
123
MWL were higher than the respective utility scores for
blindness, the utility scores for MWL patients were rela-
tively low (VAS, 0.79 ± 0.13; TTO, 0.89 ± 0.12; and SG,
0.89 ± 0.15). In fact, the SG utility scores comparing
monocular blindness with MWL were similar. This finding
shows that our volunteers were willing to take the same
chance of death for a body-contouring surgery for MWL as
they were for treatment of monocular blindness. Our
sample, if faced with MWL, would have consented to
undergo a procedure such as body contouring with an 11%
chance of death and to trade 4 years of their life.
Living with the stigmata of MWL can now be objecti-
fied with utility scores. In fact, the MWL utility scores
were comparable with the utility scores of other health
states associated with a relatively poor quality of life (e.g.,
erectile dysfunction TTO of 0.89 [13]; monocular blind-
ness TTO of 0.83 and SG of 0.82 [8]; and severe breast
hypertrophy TTO of 0.85 and SG of 0.88 [3]).
A weakness of such surveys is the extent to which the
studied sample population is representative of society as a
whole. This sample bias may limit the applicability of our
data to cost-effectiveness studies. Other issues that arise in
such studies are whether to measure the utilities of patients
who suffer from a given health state or the utilities of a
group of subjects representative of the general population
who are asked to imagine that they suffer from a given
health state. At least one expert panel concluded that utility
assessment should be performed on the latter group [14].
Other studies and reviews have validated the method of
utility assessment of healthy volunteers as opposed to
patients with the disease state [3, 15, 16]. Furthermore, the
method used in this study has been recommended as an
accurate and cost-effective alternative for measuring
quality of life [3]. The large population size of 100 par-
ticipants is however a strength in this study. Furthermore,
we have shown with subgroup analysis that our participants
understood the study and rated utility scores of MWL
despite education level. Moreover, the utility scores for
MWL generated from this study are valid and provide a
cost-effective means that can be appropriately extrapolated
for further understanding of this health state. Further
studies measuring utility scores from patients who have
undergone MWL can be useful, but these studies are sub-
ject to higher costs and the difficulty of volunteer recruit-
ment [3].
Conclusions
We have shown that the quality of life of living with the
stigmata after MWL requiring body contouring is compa-
rable with that of living with monocular blindness, erectile
dysfunction [13], or severe breast hypertrophy [3]. We
have objectified this with a measure of utility scores for
MWL (VAS, 0.79 ± 0.13; TTO, 0.89 ± 0.12; and SG,
0.89 ± 0.12) that can be used for cost-effectiveness anal-
yses and comparison with other disease states. Our sample
population, if faced with MWL, would have undergone a
body-contouring procedure with an 11% chance of mor-
tality and would have been willing to trade 4 years of their
life to attain this procedure. Further ethical and psycho-
logical studies are warranted.
Acknowledgments There was no external financial support for this
study.
Conflict of interest None of the authors have a financial interest in
any of the products, devices, drugs or procedures mentioned in this
manuscript.
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