Abstract
Introduction: The prevalence of endometriosis
and the need for treatment in the USA has led to
the need to explore the contemporary cost
burden associated with the disease. This retro-
spective cohort study compared direct and
indirect healthcare costs in patients with
endometriosis to a control group without
endometriosis.
Methods
Women aged 18–49 years with
endometriosis (date of initial diagnosis = index
date) were identified in the Truven Health
MarketScan/C210Commercial database between
2010 and 2014 and female control patients
without endometriosis were matched by age
and index year. The following outcomes were
compared: healthcare resource utilization
(HRU) during the 12-month pre- and post-index
periods (including inpatient admissions, phar-
macy claims, emergency room visits, physician
office visits, and obstetrics/gynecology visits),
annual direct (medical and pharmacy) and
indirect (absenteeism, short-term disability, and
long-term disability) healthcare costs during the
12-month post-index period (in 2014 US$).
Multivariate analyses were conducted to esti-
mate annual total direct and indirect costs,
controlling for demographics, pre-index clinical
characteristics, and pre-index healthcare costs.
Results
Overall, 113,506 endometriosis
patients and 927,599 controls were included.
Endometriosis patients had significantly higher
HRU during both the pre- and post-index peri-
ods compared to controls ( p\0.0001, all cate-
gories of HRU). Approximately two-thirds of
endometriosis patients underwent an
endometriosis-related surgical procedure (in-
cluding laparotomy, laparoscopy, hysterec-
tomy, oophorectomy, and other excision/
ablation procedures) in the first 12 months
post-index. Mean annual total adjusted direct
costs per endometriosis patient during the
12-month post-index period was over three
times higher than that for a non-endometriosis
control [$16,573 (standard deviation
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Electronic supplementary material The online
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018-0667-3) contains supplementary material, which is
available to authorized users.
A. M. Soliman ( &) /C1J. Castelli-Haley
Abbvie, Inc, North Chicago, IL, USA
e-mail:
[email protected]
E. Surrey
Colorado Center for Reproductive Medicine, Lone
Tree, CO, USA
M. Bonafede
Truven Health Analytics, An IBM Company,
Cambridge, MA, USA
J. K. Nelson
Truven Health Analytics, An IBM Company, Ann
Arbor, MI, USA
Adv Ther (2018) 35:408–423
https://doi.org/10.1007/s12325-018-0667-3
(SD) = $21,336) vs. $4733 (SD = $14,833);
p\0.005]. On average, incremental direct and
indirect 12-month costs per endometriosis
patient were $10,002 and $2132 compared to
their matched controls ( p\0.005).
Conclusions
Endometriosis patients incurred
significantly higher direct and indirect health-
care costs than non-endometriosis patients.
Funding: AbbVie Inc.
Keywords
Administrative claims database;
Endometriosis; Health economics; Women’s
health; Work loss
Introduction
Endometriosis is a chronic gynecological disor-
der characterized by the presence of endome-
trial-like tissue (glands and stroma) outside the
uterus [1]. It is estimated that close to 200 mil-
lion women worldwide will experience
endometriosis [ 2]. Over 10 million women in
the USA have endometriosis with the highest
prevalence among women aged between 30 and
40 years [3, 4].
Current therapeutic options for managing
endometriosis include pharmacological and
surgical treatments [5, 6]. While pharmacologi-
cal agents (including oral contraceptives, non-
steroidal anti-inflammatory drugs,
progestogens, gestrinone, and gonadotropin-
releasing hormone agonists) are often used as
first-line therapy for reducing pain, surgical
interventions (including laparoscopic resection,
laparotomy, bilateral salpingo-oophorectomy,
and hysterectomy) are the mainstay of treat-
ment for patients with advanced endometriosis,
or who remain refractory to pharmacotherapy,
or those with medication-related side effects
[7, 8].
Treatment of endometriosis through phar-
macotherapy and/or surgery imposes a poten-
tially significant economic burden on the US
healthcare system [9] and on society in general
through work loss and reductions in the quality
of life of the sufferers [ 10–12]. The annual
healthcare cost burden in the USA associated
with endometriosis was estimated to be $22
billion in 2002, of which $17.3 billion was due
to direct medical costs (outpatient and hospi-
talization) and $4.7 billion was due to indirect
costs (loss of productivity) [ 13]. Later, in a
multicenter, prospective study, the annual
societal burden of endometriosis in the USA was
estimated to be €49.6 billion (equivalent to
$69.4 billion; US$ October 2010) [14]. The same
study reported that approximately two-thirds of
the costs were due to lost productivity and one-
third was due to direct healthcare costs. Given
the prevalence of endometriosis, there is a need
to estimate and update the contemporary cost
burden of endometriosis in a real-world setting.
The purpose of the current retrospective study
was to quantify incremental direct and indirect
healthcare costs in the USA among newly
diagnosed endometriosis patients in the year
following diagnosis compared to those without
endometriosis.
Methods
Data Source
This study used a similar study design and
analytic approach of a previously published
study that estimated the direct and indirect cost
burden associated with undergoing an
endometriosis-related surgery [ 15]. This retro-
spective database analysis used healthcare
claims data from the Truven Health MarketS-
can
/C210Commercial Claims and Encounters
(Commercial) and the MarketScan /C210Health and
Productivity Management (HPM) databases for
the period January 1, 2009 through June 30,
2015. The commercial database contains pooled
inpatient and outpatient healthcare experience,
including pharmacy claims, of approximately
40 million employees and their dependents
covered under a variety of health plan types in
the USA. Claims-based datasets contain rela-
tively comprehensive real-world data on
healthcare with the ability to track large num-
bers of patients. An important limitation of
such data is that it is created from a system
designed for reimbursement purposes rather
than for research so that, for example, there is
an absence of information on medical expenses
not subject to insurance reimbursement such as
Adv Ther (2018) 35:408–423 409
for over-the-counter medications. More specific
information on the limitations of the dataset
are detailed in the ‘‘Discussion’’.
The HPM database includes details on
workplace absenteeism, short-term disability,
and workers’ compensation data for a subset of
individuals in the commercial database. The
data is provided from employer payroll systems
and disability case records supplied by data
contributors to the Commercial database.
Information on specific causes of absences or
disability are not directly coded in the database.
All database records are de-identified and
were accessed with protocols compliant with US
patient confidentiality requirements, including
the Health Insurance Portability and Account-
ability Act (HIPAA) of 1996, and thus were
exempted from institutional review board
approval. This article does not contain any
studies with human participants or animals
performed by any of the authors.
Study Population
Endometriosis Cohort
Female patients (aged 18–49 years) with a diag-
nosis of endometriosis (International Classifi-
cation of Diseases, Ninth Revision, Clinical
Modification (ICD-9-CM) 617.x) on a non-di-
agnostic medical claim between January 1, 2010
and June 30, 2014 during the study time frame
were initially selected for analysis. The date of
first diagnosis was defined as the index date.
Additionally, patients were considered eligible
for inclusion if they had continuous health plan
coverage for 12 months before (pre-index per-
iod) and 12 months after (follow-up period) the
index date. Patients with a diagnosis of
endometriosis (ICD-9-CM 617.x) in any posi-
tion on a non-diagnostic medical claim pre-
ceding the index date, or diagnosis of malignant
neoplasm of female genitourinary organs (ICD-
9-CM: 179.x-184.x) or radical hysterectomy
during the 12-month pre-index period were
excluded. ICD-9-CM codes are used here and
throughout for identifying diagnostic informa-
tion because it was the required coding system
during the relevant time period on insurance
reimbursement claims used in the commercial
database.
Non-Endometriosis Control Cohort
Patients in the non-endometriosis cohort were
identified using selection criteria similar to the
endometriosis cohort. Female patients with no
diagnosis of endometriosis during the entire
study period (January 1, 2009 through June 30,
2015) were randomly selected and directly
matched 10:1 to endometriosis patients on the
basis of data availability in the index year and
age at index). Index date for the control cohort
was randomly assigned during this time period
with a date distribution matching the date dis-
tribution found among endometriosis patients.
Outcome Measures
Healthcare resource utilization and costs (all-
cause and endometriosis-related) were evalu-
ated for the 12-month pre- and post-index
periods. The direct healthcare costs incurred
were assessed for healthcare services across var-
ious care settings: inpatient, emergency room
(ER), outpatient services including obstetri-
cian–gynecologist (OB/GYN) visits, and outpa-
tient prescriptions. Endometriosis-related
utilization and expenditures were defined as
(a) medical claims with a principal diagnosis of
endometriosis, (b) pharmacy claims for drugs
used to treat and manage endometriosis (le-
uprolide, danazol, depot medroxyprogesterone,
oral medroxyprogesterone acetate, levonorges-
trel implants and intrauterine devices, mege-
strol acetate, progestin-only oral contraceptive
pills, histrelin, goserelin, nafarelin, triptorelin,
ganirelix, degarelix, cetrorelix, abarelix, and
other oral contraceptive pills), and (c) en-
dometriosis-related surgeries (number and pro-
portion of patients with at least one
endometriosis-related surgery overall, and
stratified by laparotomy, laparoscopy, hysterec-
tomy, oophorectomy, and other excision/abla-
tion procedures). All expenditures were
inflation adjusted to 2014 US$ using the Medi-
cal Care component of the Bureau of Labor
Statistics Consumer Price Index [ 16].
410 Adv Ther (2018) 35:408–423
Work losses associated with absenteeism (the
number of days absent from work), short-term
disability (STD), and long-term disability (LTD)
in the 12-month post-index period were asses-
sed for both endometriosis and non-en-
dometriosis cohorts in terms of the proportion
of patients with each category of work loss as
well as average number of days lost. To assess
indirect costs due to work loss, a daily wage was
calculated using the age-, gender-, and geo-
graphic region-adjusted wage rate from the US
Bureau of Labor Statistics from the year 2010.
An estimated daily wage rate ($240 per day) was
considered for calculating costs from lost pro-
ductivity due to STD/LTD. As STD/LTD benefit
typically does not replace full wages, 70% of
wages, which approximates the proportion of
total wages and benefits paid by employers in
the HPM database, was used.
Patient Characteristics
Patient characteristics including age, geo-
graphic region (US Census division), urbanicity,
health plan type, and index year were measured
on the index date. In addition, the Deyo
Charlson Comorbidity Index (DCI), comorbid
conditions (based on the presence of ICD-9-CM
diagnosis), and medication use (based on
Healthcare Common Procedure Coding System
(HCPCS) and National Drug Code (NDC) codes)
were measured during the 12-month pre-index
period.
Statistical Analysis
Patient characteristics, healthcare utilization,
and costs for each study cohort were analyzed
descriptively. Continuous measures were sum-
marized as means and standard deviations, and
categorical measures were summarized as
counts and percentages. Testing for statistical
differences in the study outcomes between
cohorts was performed using Chi square test for
categorical measures, and ANOVA and t tests for
continuous measures.
The ‘‘real-world’’ costs as determined from
the Commercial and HPM databases are pre-
sented first. However, the reported cost
differences for the cohorts may be influenced by
differences in their baseline characteristic, so
adjusted cost estimates were also computed.
Multivariate analysis was used to compare both
direct and indirect (absence, STD, LTD, and
total) cost outcomes in patients with and
without endometriosis. Generalized linear
models (GLMs) were used to estimate incre-
mental costs for patients with endometriosis
versus those without. The models used gener-
alized estimating equations to account for
within-patient correlation and used a gamma
distributed error and log link to account for the
distributional characteristics of cost data. Esti-
mation of the standard error of the marginal
cost was conducted by using the delta method.
Two-part models were used for potentially
infrequent outcomes and associated costs such
as total STD costs [17]. All models controlled for
the relevant patient characteristics (age, gender,
geographic region, and health plan type, DCI,
and baseline comorbidities) between the two
cohorts. The recycled prediction method was
used to estimate the marginal or incremental
costs associated with endometriosis. Ap value of
less than 0.05 was considered statistically
significant.
Results
Study Sample
A total of 434,809 women with endometriosis
between January 1, 2010 and June 30, 2014
were initially identified, and were directly mat-
ched on age and index year in a 1:10 ratio to
controls ( N = 4,348,090) without endometrio-
sis. Following application of all eligibility crite-
ria (Fig. 1), a total of 113,506 women with
endometriosis and 927,599 controls were
included in the analysis.
Patient Characteristics
Patient characteristics are presented in Table 1.
Patients with and without endometriosis were
demographically similar. Endometriosis
patients had a greater comorbid burden than
Adv Ther (2018) 35:408–423 411
demographically matched controls, as evi-
denced by significantly higher mean [standard
deviation (SD)] CCI score for endometriosis
patients in the pre-index period [0.21 (0.64) vs.
0.16 (0.57); p\0.0001]. Endometriosis patients
also had significantly higher rates of all the
assessed comorbidities, with gynecological
comorbidities being especially common in the
12 months prior to an endometriosis diagnosis.
Compared to controls, the endometriosis
cohort had a higher proportion of patients with
prescriptions claims for opioids, nonsteroidal
anti-inflammatory drugs (NSAIDs), antidepres-
sants, and hormonal contraceptives (all
p\0.0001).
Healthcare Utilization and Expenditures
Patients with endometriosis had a significantly
higher rate of healthcare utilization compared
to their matched controls during both the pre-
and post-index periods (Table 2, Fig. 2). During
the 12-month post-index period, 29% of
patients in the endometriosis cohort reported
an all-cause hospital admission compared to 6%
in the control cohort ( p\0.0001). More
endometriosis patients than controls had an ER
visit, physician office visit, and OB/GYN visit in
both the pre- and post-index periods (all
p\0.0001), as well as higher average numbers
of all-cause hospital admissions (post-index
only), ER visits (pre- and post-index), and OB/
GYN visits (pre- and post-index) compared to
their matched controls.
Endometriosis patients also showed similarly
increased utilization in the 12 months prior to
the index date as well as post-index, showing a
greater proportion of patients with ER visits,
physician office visits, and OB/GYN visits
(Fig. 2).
Nearly two-thirds of the patients with
endometriosis underwent an endometriosis-re-
lated surgical procedure (including hysterec-
tomy, oophorectomy, laparoscopy, laparotomy,
and other excision or ablation) compared to
1.0% in the controls, among which hysterec-
tomy was the most common (38%) during the
12-month post-index period. Less than a third
of endometriosis patients filled relevant thera-
peutic endometriosis-related prescriptions dur-
ing the post-index period compared to 21% of
patients in the control cohort (Table 2).
Overall, endometriosis patients incurred sig-
nificantly higher annual all-cause expenditure
compared to the controls during both pre- and
post-index periods (Table 2, Fig. 3). Notably, the
majority (62%) of the annual costs for
Fig. 1 Sample selection. The effect of applying eligibility criteria to population sample size is shown
412 Adv Ther (2018) 35:408–423
Table 1 Demographic characteristics (on index date) and clinical characteristics (during pre-index period)
Patient characteristic Endometriosis patients
(N 5 113,506)
Controls
(N 5 927,599)
p value
Age, mean (SD) 37.9 (7.4) 38.2 (7.5) \0.0001
Age group, N (%) \0.0001
18–2 7032 (6%) 58,619 (6%)
25–29 9290 (8%) 65,369 (7%)
30–34 18,615 (16%) 144,156 (16%)
35–39 24,826 (22%) 201,881 (22%)
40–44 28,939 (25%) 242,468 (26%)
45–49 24,804 (22%) 215,106 (23%)
Population density, N (%) \0.0001
Urban 94,243 (83%) 793,610 (86%)
Rural 17,908 (16%) 121,950 (13%)
Unknown 1355 (1%) 12,039 (1%)
Geographic region, N (%) \0.0001
Northeast 18,299 (16%) 169,818 (18%)
North central 25,764 (23%) 206,305 (22%)
South 47,074 (41%) 355,934 (38%)
West 20,931 (18%) 182,997 (20%)
Unknown 1438 (1%) 12,545 (1%)
Health plan type ( N,% ) \0.0001
Comprehensive 1131 (1%) 8732 (1%)
EPO 1638 (1%) 14,779 (2%)
HMO 16,234 (14%) 141,636 (15%)
POS 8508 (7%) 65,224 (7%)
PPO 67,723 (60%) 538,520 (58%)
POS with capitation 630 (1%) 5093 (1%)
CDHP 7674 (7%) 63,097 (7%)
HDHP 4116 (4%) 40,811 (4%)
Unknown 5852 (5%) 49,707 (5%)
Deyo CCI, mean (SD) 0.21 (0.6) 0.16 (0.6) \0.0001
Comorbid conditions, N (%)
Upper respiratory infections 35,478 (31%) 220,514 (24%) \0.0001
Abdominal/pelvic pain 29,018 (26%) 65,630 (7%) \0.0001
Adv Ther (2018) 35:408–423 413
Table 1 continued
Patient characteristic Endometriosis patients
(N 5 113,506)
Controls
(N 5 927,599)
p value
Hypertension 12,640 (11%) 79,943 (9%) \0.0001
Anxiety 10,825 (10%) 56,401 (6%) \0.0001
Depression 11,745 (10%) 65,587 (7%) \0.0001
Migraine 8511 (7%) 36,980 (4%) \0.0001
Asthma 6547 (6%) 37,170 (4%) \0.0001
Hyperlipidemia 6543 (6%) 43,726 (5%) \0.0001
COPD 3026 (3%) 17,613 (2%) \0.0001
Diabetes 3927 (3%) 29,682 (3%) \0.0001
Irritable bowel syndrome 2741 (2%) 7998 (1%) \0.0001
Osteoarthritis 2650 (2%) 16,886 (2%) \0.0001
Acute coronary syndrome 898 (1%) 4775 (1%) \0.0001
Pelvic peritoneal adhesions 1647 (1%) 1821 ( \1%) \0.0001
Anal or rectal pain 484 ( \1%) 1600 ( \1%) \0.0001
Bladder pain 223 ( \1%) 586 ( \1%) \0.0001
Heart failure 185 ( \1%) 1441 ( \1%) 0.54
Osteoporosis 179 ( \1%) 1528 ( \1%) 0.58
Gynecological comorbidities, N (%)
Any gynecological comorbidity listed below 74,053 (65%) 109,165 (12%) \0.0001
Unspecified symptoms of female genital
organs
30,057 (26%) 24,033 (3%) \0.0001
Excessive or frequent menstruation 25,414 (22%) 28,607 (3%) \0.0001
Ovarian cysts 20,400 (18%) 16,864 (2%) \0.0001
Uterine fibroids 18,618 (16%) 17,571 (2%) \0.0001
Dysmenorrhea 15,540 (14%) 11,086 (1%) \0.0001
Vaginitis 8477 (7%) 36,065 (4%) \0.0001
Dyspareunia 4233 (4%) 3299 (0%) \0.0001
Metrorrhagia 4053 (4%) 5478 (1%) \0.0001
Reproductive claims, N (%)
Pregnancy/delivery 6513 (6%) 65,332 (7%) \0.0001
Infertility 6127 (5%) 9077 (1%) \0.0001
Fertility treatments 5462 (5%) 11,076 (1%) \0.0001
414 Adv Ther (2018) 35:408–423
endometriosis patients were incurred within
3 months post-index. In the 12-month post-in-
dex period, the endometriosis-related expendi-
tures accounted for about 39% and 1% of the
total healthcare expenditures in the
endometriosis and control cohorts, respectively
(Fig. 4). The ‘‘endometriosis-related’’ expendi-
tures among controls arose from prescriptions
for drugs listed in the ‘‘ Methods’’ section as
‘‘endometriosis-related’’, but many of which
also have non-endometriosis indications.
Healthcare and pharmacy costs tend to increase
with the age of the patient, with older
endometriosis patients (age 40–49) having
$3171 more in mean costs compared to younger
patients (age 18–29), whereas the difference
among controls was $1471 (Table 3). Here and
throughout the ‘‘Results’’ sections, all costs are
presented in 2014 US$.
Work Loss and Indirect Costs
Work loss was higher in the endometriosis
cohort (Table 2), particularly in terms of days of
absence and STD. Rates of LTD claims were low
in both cohorts (although significantly higher
in the endometriosis cohort both in terms of
proportion of patients with a claim and total
number of LTD days). This resulted in higher
mean indirect cost estimates among
endometriosis patients vs. controls for all cate-
gories of work loss: $5383 vs. $4224 per patient
for the cost of absenteeism, ( p\0.0001), $1709
vs. $402 per patient for the cost of STD
(p\0.0001), and $54 vs. $26 per patient for the
cost of LTD.
Adjusted Direct and Indirect Healthcare
Expenditures
Cost estimates have been presented which
describe what is found in the real-world data.
Additionally, multivariate analysis, detailed in
the ‘‘Methods’’ section, provided cost estimates
adjusted for baseline patient characteristics
which may have differed between the cohorts.
Overall, patients with endometriosis showed a
significant incremental burden when compared
to those without endometriosis. The mean
annual incremental direct healthcare cost of
endometriosis was estimated at $10,002, while
the mean incremental indirect costs related to
absence hours and STD compared to non-en-
dometriosis controls were $903 and $1228,
respectively, (all p\0.005; Table 4). Please see
Tables S1–S5 in the supplementary material for
additional details on the multivariate results.
Discussion
This retrospective study estimated the incre-
mental direct and indirect costs associated with
endometriosis among commercially insured
Table 1 continued
Patient characteristic Endometriosis patients
(N 5 113,506)
Controls
(N 5 927,599)
p value
Medications, N (%)
Opioids 101,557 (89%) 573,082 (62%) \0.0001
NSAIDS 84,498 (74%) 468,703 (51%) \0.0001
Antidepressants 54,055 (48%) 309,289 (33%) \0.0001
Estrogen/progestin oral contraceptives 51,060 (45%) 319,839 (34%) \0.0001
CCI Charlson comorbidity index, CDHP consumer driven health plan, COPD chronic obstructive pulmonary disease, EPO
exclusive provider organization, HDHP high deductible health plan, HMO health maintenance organization, NSAIDS
nonsteroidal anti-inflammatory drugs, POS point of service, PPO preferred provider organization, SD standard deviation
Adv Ther (2018) 35:408–423 415
Table 2 Utilization and costs during 12-month post-index period
Outcome Endometriosis patients
(N 5 113,506)
Controls
(N 5 927,599)
p value
Healthcare utilization (all-cause)
Patients with inpatient admission, N (%) 33,235 (29%) 60,052 (6%) \0.0001
Admissions per patient, mean (SD) 0.34 (0.62) 0.08 (0.33) \0.0001
Patients with emergency room visit, N (%) 35,944 (32%) 168,471 (18%) \0.0001
ER visits per patient, mean (SD) 0.63 (1.62) 0.28 (0.87) \0.0001
Patients with physician office visit, N (%) 109,835 (97%) 804,959 (87%) \0.0001
Physician office visits per patient, mean (SD) 8.0 (7.2) 4.6 (5.2) \0.0001
Patients with OB/GYN specialist visit, N (%) 71,846 (63%) 341,295 (37%) \0.0001
OB/GYN office visits per patient, mean (SD) 1.8 (2.7) 0.62 (1.2) \0.0001
Patients with outpatient prescription claim,
N (%)
108,828 (96%) 766,720 (83%) \0.0001
Prescriptions per patient, mean (SD) 20.2 (20.7) 12.0 (16.0) \0.0001
Healthcare utilization (endometriosis-related)
Patients with inpatient admission, N (%) 18,495 (16%) 0.0 \0.0001
Admissions per patient, mean (SD) 0.17 (0.38) 0.0 \0.0001
Patients with emergency room visit, N (%) 4599 (4%) 0.0 \0.0001
ER visits per patient, mean (SD) 0.05 (0.25) 0.0 \0.0001
Patients with physician office visit, N (%) 51,133 (45%) 0.0 \0.0001
Physician office visits per patient, mean (SD) 0.79 (1.35) 0.0 \0.0001
Patients with OB/GYN specialist visit, N (%) 34,966 (31%) 0.0 \0.0001
OB/GYN office visits per patient, mean (SD) 0.49 (0.99) 0.0 \0.0001
Patients with outpatient prescription claim,
N (%)
34,008 (30%) 199,287 (21%) \0.0001
Prescriptions per patient, mean (SD) 1.5 (3.2) 1.3 (3.2) \0.0001
Patients with endometriosis-related surgery,
N (%)
75,935 (66.9%) 10,735 (1.2%) \0.0001
Laparotomy 3758 (3.3%) 797 (0.1%) \0.0001
Laparoscopy 37,238 (32.8%) 4766 (0.5%) \0.0001
Hysterectomy 43,030 (37.9%) 5575 (0.6%) \0.0001
Hysterectomy w/same-day oophorectomy 2206 (1.9%) 195 (0.0%) \0.0001
Oophorectomy 4050 (3.6%) 484 (0.1%) \0.0001
Other excision/ablation 571 (0.5%) 86 (0.0%) \0.0001
416 Adv Ther (2018) 35:408–423
patients in the USA and showed that the direct
healthcare costs for endometriosis patients
measured both 12 months prior to and after
endometriosis diagnosis were significantly
higher than those in matched controls. Addi-
tionally, costs due to work loss through absen-
teeism, STD, and LTD were also higher in
patients with endometriosis. To our knowledge,
this is the first major study that compared both
direct and indirect healthcare costs between
patients with and without endometriosis.
Analogous to the findings of previous studies
[9, 13, 14] this study showed that endometriosis
patients incurred significantly higher health-
care costs compared to controls. The incre-
mental costs per patient in the first year post-
Table 2 continued
Outcome Endometriosis patients
(N 5 113,506)
Controls
(N 5 927,599)
p value
Healthcare costs
All-cause, mean (SD) $16,573 (21,336) $4733 (14,833) \0.0001
In terms of per patient per month (SD) $1381 (1778) $394 (1236) \0.0001
All-cause pharmacy costs, mean (SD) $1784 (4696) $1070 (3910) \0.0001
Endometriosis-related, mean (SD) $6498 (9046) $89 (497) \0.0001
Endometriosis-related pharmacy costs, mean
(SD)
$212 (800) $89 (497) \0.0001
Work loss
Patients with absence data, N 1365 10,051
Patients with absence claim, N (%) 955 (70.0%) 6782 (67.5%) 0.065
Absence days, mean (SD) 31.1 (20.9) 24.3 (18.7) \0.0001
Patients with short-term disability (STD)
data, N
9701 78,266
Patients with STD claim, N (%) 3464 (35.7%) 5756 (7.4%) \0.0001
STD days, mean (SD) 14.3 (25.1) 3.3 (16.6) \0.0001
Patients with long-term disability (LTD) data,
N
8833 68,271
Patients with LTD claim, N (%) 42 (0.5) 149 (0.2) \0.0001
LTD days, mean (SD) 0.4 (8.8) 0.2 (6.2) 0.0036
Indirect costs due to work loss
Absence, mean (SD) $5383 ($3807) $4224 ($3352) \0.0001
Short-term disability, mean (SD) $1709 ($3057) $402 ($2064) \0.0001
Long-term disability, mean (SD) $54 ($1107) $26 ($770) 0.0035
All costs are estimated as per 2014 US$
OB/GYN obstetrician or gynecologist ,S D standard deviation
Adv Ther (2018) 35:408–423 417
diagnosis (over $10,000 with multivariable
adjustment) are substantial compared to esti-
mates for other common gynecological ail-
ments such as uterine fibroids ($6873 in 2014
US$ [18]) or menorrhagia ($2878 in 2014 US$
[19]). Notably, over 60% of the total annual
healthcare costs for endometriosis patients were
accrued within 3 months of the index date,
thereby adding to the existing body of literature
which has reported highest healthcare resource
utilization and costs in the first year after
endometriosis diagnosis [20–22].
Indirect costs associated with endometriosis
are substantial as well, with average incremental
indirect costs estimated at US $2132 per patient
(adjusted estimate) in the 12 months following
the index diagnosis. A point to notice here is
that claims data can only capture indirect losses
due to the absenteeism component; data on
presenteeism (reduced productivity due to ill-
ness while on the job) was not available. Esti-
mates from a study of European Union
countries suggest that indirect costs due to
presenteeism can substantially exceed the costs
of absenteeism, by a factor of 2: €6298 due to
presenteeism vs. €3280 due to absenteeism [14].
A study of 10 countries across multiple conti-
nents estimated that endometriosis resulted in
the equivalent work loss of 6.4 h/week due to
presenteeism and 4.4 h/week due to
Fig. 2 All-cause healthcare utilization in the 12-month pre- and post-index periods. All endometriosis vs. control
differences in utilizations in the pre-index periods and in the post-index period are significant ( p\0.0001)
Fig. 3 All-cause healthcare costs during 12-month pre- and post-index follow-up period. Values in each time period are
cumulative cost since index
418 Adv Ther (2018) 35:408–423
absenteeism [ 23] and provided indirect cost
estimates for the USA of about $3200/year for
absenteeism due to endometriosis symptoms
and about $14,800 for presenteeism (values
converted into 2014 US$). Instead of using
records of absence and disability claims, that
study based indirect cost estimates on responses
by patients to versions of the Work Productivity
and Activity Impairment (WPAI:GH) and Short-
Form–36 version 2 (SF36v2), and estimated the
work loss in terms of lost wages without
adjustments for reduced pay for short- and
long-term disability.
A previous study characterized the health-
care costs and utilization of endometriosis
patients [22]. Although the prior study followed
costs and utilization patterns over a longer
period of time (up to 5 years for a small per-
centage of patients), the current analysis
expands upon this previous work in several
ways: by reporting endometriosis-related costs
separately, examining trends within the first
Fig. 4 Endometriosis-related healthcare costs during 12-month follow-up period. Values over post-period are cumulative
cost since index. Values in each time period following index date are cumulative costs since index date
Table 3 Healthcare costs by age during 12-month post-index period
Outcome Endometriosis patients Controls p value
Age 18–29 N = 16,322 N = 123,988
Overall healthcare costs, mean (SD) $14,369 (19,963) $3649 (12,797) \0.0001
Pharmacy costs, mean (SD) $1646 (4004) $736 (3210) \0.0001
Age 30–39 N = 43,441 N = 346,037
Overall healthcare costs, mean (SD) $16,203 (20,765) $4609 (16,166) \0.0001
Pharmacy costs, mean (SD) $1858 (4742) $931 (3489) \0.0001
Age 40–49 N = 53,743 N = 457,574
Overall healthcare costs, mean (SD) $17,541 (22,122) $5120 (16,435) \0.0001
Pharmacy costs, mean (SD) $1766 (4850) $1265 (4349) \0.0001
All costs are estimated as per 2014 US$
SD standard deviation
Adv Ther (2018) 35:408–423 419
year post-diagnosis, and by providing multi-
variate models to provide cost estimates adjus-
ted for variations in baseline covariates. It also
contains a somewhat broader sample of
patients, including women up to 49 years of age
(as opposed to 45 years in Fuldeore et al.’s
analysis [22]). Importantly, this study provides
an update in an evolving field of treatment, and
confirms changes in approaches to gynecologi-
cal treatment.
A recent analysis shows that hysterectomies
and oophorectomies (as treatments across all
indications and not just endometriosis) have
shown modest decreases in prevalence since the
year 2000 with a dramatic shift towards outpa-
tient instead of inpatient procedures [21]. In an
analysis spanning the years 2000–2010, Fulde-
ore et al. [ 22] reported that 40% of
endometriosis patients received an inpatient
admission in their first year. In contrast, in the
current analysis spanning the years 2010–2014
only 29% received an inpatient admission.
These numbers include admissions for all rea-
sons, not just endometriosis, but because sur-
gical treatment is very common within the first
year of diagnosis [ 9, 21], this is very likely rela-
ted to a drop in inpatient treatment for
endometriosis.
Despite changes in the treatment landscape,
surgery remains a mainstay of endometriosis
therapy in our analysis, with 38% of the
patients undergoing a hysterectomy in the first
year post diagnosis, and two-thirds undergoing
a surgical procedure used to treat endometriosis.
This high rate of hysterectomy in the presence
of less invasive surgical interventions and
pharmacotherapy might represent a diagnostic
delay necessitating a more invasive treatment
approach; future research should explore this
further.
Most newly diagnosed endometriosis
patients have incurred pharmacy claims for
pain management, and an exceedingly high
proportion of our sample of endometriosis
patients, nearly 90%, had at least one prescrip-
tion for opioids. The use of opioids for pain
management for endometriosis warrants further
investigation.
A notable strength of our study is that it
included a large cohort of endometriosis and
matched non-endometriosis patients to evalu-
ate the direct and indirect healthcare costs.
Additionally, this study provides a current cost
trend for endometriosis by using data from a
more contemporary time frame than previously
available.
This study has several limitations inherent to
administrative claims data. As patients were
identified and variables were captured through
administrative claims data, endometriosis-re-
lated symptoms, which are not recorded as a
diagnosis on a medical claim, may not have
been captured. The diagnosis of endometriosis
and clinical characteristics were determined
using ICD-9-CM diagnosis or procedure codes,
which are subject to data coding limitations and
data entry error, and it is possible that women
with endometriosis may have inadvertently
Table 4 Multivariable analysis of costs per patient during 12-month post-index period
Type of cost Endometriosis
patients
Controls Incremental cost
(endometriosis vs.
controls)
Cost ratio (95%
confidence interval)
Total healthcare costs, mean (SD) $14,649 ($17,675) $4646 ($5606) $10,002 3.15 (3.12–3.18)
Indirect costs, mean (SD)
a $6819 (1698) $4687 ($1167) $2132 1.46 (1.38–1.54)
Absence costs $5157 ($1312) $4254 ($1082) $903 1.21 (1.16–1.27)
Short-term disability costs $1632 ($1900) $404 ($471) $1228 4.04 (3.81–4.28)
All costs are estimated as per 2014 US$
All cohort differences are statistically significant p\0.001 (endometriosis vs. control cohorts)
SD standard deviation
a Includes absence, short-term disability, and long-term disability data
420 Adv Ther (2018) 35:408–423
been included in the control group including
those with symptoms but for whom a diagnosis
had not been made yet or those for whom a
diagnosis had not been recorded. The use of
over-the-counter medications and other self-
management techniques is not usually captured
in the claims data, so the use of over-the-
counter NSAIDs or other pain management
medications is not included in our analysis. The
indirect costs included in this study are limited
to absenteeism and disability claims by the
employee and do not include reduced presen-
teeism or potential caregiver burden, as well as
any other humanistic burden associated with
this chronic condition. The absence costs
themselves may be conservative, as the disrup-
tion of missing workers may result in effectively
more work loss than is reflected in each
patient’s missing hours [24]. Endometriosis may
have important effects, such as on the psycho-
logical well-being of patients [ 25–27], that fall
outside of the scope of the data used in this
analysis. Finally, findings from this observa-
tional study may be prone to bias from non-
random selection into the treatment group and
was limited to endometriosis patients covered
by Commercial health plans. Therefore, the
Results
are not generalizable to those covered
under other types of insurance or who lack
coverage.
Conclusion
Patients with endometriosis had significantly
higher direct healthcare costs and indirect costs
(as measured by absenteeism, short-term dis-
ability, and long-term disability) compared to
patients without endometriosis in the
12 months follow-up period. Given its preva-
lence, this suggests a substantial disease burden
associated with endometriosis to the individual,
healthcare system, and society.
Acknowledgements
Funding. This study and article processing
fees (including Open Access fee) were funded by
AbbVie Inc., and conducted by Truven Health
Analytics, USA.
Medical Writing Assistance. Editorial/writ-
ing assistance for this manuscript was provided
by Santosh Tiwari, an employee of Truven
Health Analytics. AbbVie funded editorial/writ-
ing assistance services.
Authorship. All named authors meet the
International Committee of Medical Journal
Editors (ICMJE) criteria for authorship for this
article, take responsibility for the integrity of
the work as a whole, and have given their
approval for this version to be published.
Disclosures. Ahmed M Soliman is an
employee of AbbVie Inc. and may own AbbVie
stocks/stock options. Jane Castelli-Haley is an
employee of AbbVie Inc. and may own AbbVie
stocks/stock options. Eric Surrey is medical
director at the Colorado Center for Reproduc-
tive Medicine, has served in a consulting role on
research to AbbVie, and is on the speaker bureau
for Ferring Laboratories. Machaon Bonafede is
an employee of Truven Health Analytics, an
IBM Company. James K Nelson is an employee
of Truven Health Analytics, an IBM Company.
Compliance with Ethics Guidelines. This
article does not contain any studies with
human participants or animals performed by
any of the authors. The research utilized de-
identified patient data from administrative
claims using codes in compliance with the
Health Insurance Portability and Accountability
Act (HIPAA) of 1996. Thus, it was exempt from
the institutional review board approval.
Data Availability. The datasets generated
during and/or analyzed during the current
study are not publicly available because of their
proprietary nature but are available from the
corresponding author on reasonable request.
Open Access. This article is distributed
under the terms of the Creative Commons
Attribution-NonCommercial 4.0 International
License ( http://creativecommons.org/licenses/
by-nc/4.0/), which permits any
Adv Ther (2018) 35:408–423 421
noncommercial use, distribution, and repro-
duction in any medium, provided you give
appropriate credit to the original author(s) and
the source, provide a link to the Creative
Commons license, and indicate if changes were
made.
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