We sought to characterize changes in healthcare spending associated with the onset of 22 endometriosis-related comorbidities.
Methods
Women aged 18–49 years with endometriosis (N = 180,278) were extracted from 2006–2015 de-identified Clinformatics® DataMart claims data. For 22 comorbidities, comorbidity patients were identified on the basis of having a first comorbidity diagnosis after their initial endometriosis diagnosis. Controls were identified on the basis of having no comorbidity diagnosis and were matched 1:1 to comorbidity patients on demographics and baseline spending. Total medical and pharmacy spending was measured during 12 months before and after each patient’s index date (first comorbidity diagnosis for comorbidity patients, and equal number of days after earliest endometriosis claim for controls). Pre–post spending differences were compared using difference-in-differences linear regression. Total and comorbidity-related cumulative spending per patient for all endometriosis patients were calculated annually for the 5 years following endometriosis diagnosis.
Results
The number of endometriosis patients with each comorbidity varied between 121 for endometrial cancer and 16,177 for fatigue. Healthcare spending increased significantly with the onset of eight comorbidities: breast cancer, ovarian cancer, pregnancy complications, systemic lupus erythematosus/rheumatoid arthritis/Sjogren’s/multiple sclerosis, infertility, uterine fibroids, ovarian cyst, and headache [p < 0.001 except for headache (p = 0.045)]. Spending decreased significantly for fatigue, cystitis/UTI, and eczema [p < 0.001 except for fatigue (p = 0.048)] and was not statistically different for the other 11 comorbidities. Difference-in-differences estimates were significantly higher for comorbidity patients for all comorbidities except eczema (p ≤ 0.003). Mean 5-year total cumulative spending was $58,191 per endometriosis patient, of which between 11% and 23% was attributable to comorbidity-related medical claims.
Conclusion
For all but one of the 22 comorbidities associated with endometriosis, comorbidity onset was associated with a relative increase in total healthcare spending.
Medical care for the diagnosis and treatment of endometriosis patients in the USA was estimated to cost $22 billion in 2002 [1]. Endometriosis-related spending is high for multiple reasons, including the high prevalence of the condition. Endometriosis is the third leading cause of gynecologic hospitalization [2], and endometriosis prevalence is estimated to be 6–10% or roughly 4–8 million individuals among women in their reproductive years [3‐6]. Another contributor to high spending is the frequent and resource-intensive medical care received by endometriosis patients. Within 1 year of endometriosis diagnosis, some 65% of patients with commercial insurance underwent a related surgical procedure, with costs ranging from over $4000 for a diagnostic laparoscopy to over $11,000 for an abdominal hysterectomy [7]; receipt of surgery is associated with an extra $12,000 in direct medical cost and $3000 in indirect medical cost in the first year [7]. A third reason is that, because endometriosis symptoms are non-specific, diagnosis is frequently delayed; reported mean time from initial symptoms to diagnosis is 4–12 years in the USA [8, 9], leading to accrual of a substantial disease burden by the time of diagnosis [10‐13].
Another potentially important aspect of endometriosis is its association with higher rates of a spectrum of comorbid conditions [14], including ovarian and other gynecological cancers [15], thyroid cancer, autoimmune diseases, asthma/atopic diseases, and cardiovascular diseases [16‐21]. Medical care for each disease by itself can be expensive [22‐25]. Having one or more comorbid conditions could lead to interactions with endometriosis in ways that necessitate additional medical care. While others have quantified the expenditures on medical treatment for endometriosis patients overall [10‐13] or for a variety of comorbid conditions on their own [22‐25], we are aware of only one study of women with endometriosis that analyzed the incremental impact of individual comorbidities on healthcare spending [12], and none that measured the contribution of all comorbidity-related care to overall healthcare expenditures. Clarifying the role played by comorbidities in endometriosis patients’ spending trajectories could help providers and policymakers improve endometriosis care by increasing awareness of the potential benefits of prevention and early detection efforts.
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The objective of this study was therefore to characterize the effects on healthcare cost associated with the onset of common endometriosis-related comorbidities individually and collectively, which ex ante were hypothesized to be substantial.
Methods
Data Source and Study Population
Administrative data from the de-identified Clinformatics® DataMart database (OptumInsight, Eden Prairie, MN) were used in this study. These data consisted of commercial insurance medical service and pharmacy claims and enrollment records that covered January 2006 through September 2015. Their source was a large national health insurer’s customers from around the USA. Relevant variables included patient demographics, clinical diagnoses recorded using codes from the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM), dates of service, and total amounts paid. The data used in this study were completely de-identified, and thus this study did not involve human subjects research. This article does not contain any studies with human participants or animals performed by any of the authors.
The initial study sample consisted of women aged 18–49 years at the time of their first observed medical claim with an endometriosis diagnosis. Consistent with prior work [12], endometriosis was identified as having at least two outpatient claims or at least one emergency room or inpatient claim with a diagnosis of endometriosis (ICD-9-CM 617.x) at any point during the study period with no washout period required. Some patients may have had interruptions in their insurance enrollment, which would lead to breaks in their claims history. For these patients, one continuous enrollment spell was selected randomly.
Construction of Comorbidity-Specific Cohorts
A set of 22 comorbid chronic conditions that frequently co-occur with endometriosis was selected from a published literature review and reviewed by a clinical expert (Dr. Craig A. Winkel, MD) [17]. The set includes comorbidities related to gynecological, mental health, gastrointestinal, cancer, and autoimmune conditions (Online Supplementary Material, Table S.1). A separate matched retrospective cohort was constructed for each of the 22 comorbidities and comprised “comorbidity patients” (those with a first claim with a diagnosis for that comorbidity that occurred after their initial endometriosis diagnosis) and “control patients” (endometriosis patients with no claims ever with that particular comorbidity diagnosis).
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For comorbidity patients, the index date was defined as the earliest date of comorbidity diagnosis, which by construction had to occur after the earliest endometriosis date. For candidate control patients, the index date was calculated using an equal number of days after earliest endometriosis diagnosis as their matched comorbidity patient (Online Supplementary Material, Fig. S.1). Eligible comorbidity and control patients were required to have at least 365 days of continuous coverage both before and after their index dates, divided into the baseline period (365 days before index date) and the follow-up period (365 days after index date).
Matching between control patients and comorbidity patients was performed on a 1:1 basis with replacement. Matching was exact on patients’ Census division of residence, insurance plan type, and age at endometriosis diagnosis (± 1 year). Up to 10 candidate controls were selected for each comorbidity patient on the basis of their total spending in the baseline period (i.e., the 365-day period prior to the index date), consisting of the first five closest control patients with baseline total spending within $5000 of the comorbidity patient’s and the second five closest control patients with baseline total spending within a variable caliper of $1000 to $5000. (The caliper was calculated for each comorbidity patient as min[5000, max(1000,10% × baseline spending)].) From these 10 or fewer candidates, the single closest control patient was selected with the smallest total Euclidean distance calculated across the four components of total baseline spending: inpatient, emergency department, outpatient, and pharmacy.
In the main analysis, comorbidity patients were identified on the basis of the presence of at least one medical claim with a given comorbidity. As a robustness check, analyses were repeated after identifying comorbidity patients on the basis of the presence of at least two distinct medical claims. Patients were excluded from analysis if their total spending in the baseline or follow-up periods was less than zero (which might occur from, e.g., billing corrections) or they lacked continuous enrollment for the 365 days before and after their index date. Comorbidity patients with no eligible control patient matched were also excluded (Online Supplementary Material, Table S.1).
Statistical Analysis
The primary endpoint in this analysis was the patient-level change in total healthcare spending from the baseline period (365 days before index date) to the follow-up period (365 days after index date), calculated as the post-index expenditure minus the pre-index expenditure. Total spending in each period was the sum of all payments for medical and pharmacy claims starting in that period and was inflated to 2015 US dollars using the US Personal Health Care Index and its component price indexes [26].
To assess the quality of the match, standardized differences were calculated between comorbidity patients and matched controls [27]. A difference-in-differences analytic framework was adopted, in which the difference between pre- and post-index-date spending levels was compared to zero separately for comorbidity patients and controls; these differences were subsequently compared between comorbidity patients and controls using linear regression. Robust regression standard errors were computed to account for heteroskedasticity and clustering by match pair [28].
An auxiliary analysis was conducted to help understand the contribution of comorbidity-related care to overall spending on healthcare for endometriosis patients. Using data on the initial sample of all endometriosis patients aged 18–49 years, mean cumulative spending per patient was calculated for the full duration of each of the 1-, 2-, 3-, 4-, and 5-year periods following a patient’s earliest endometriosis claim. For each of the five periods, only patients with continuous eligibility through that period were included.
Statistical significance was based on two-sided tests with α = 0.05. Analyses were conducted using Stata MP 14.1 (College Station, TX).
Results
There were 180,278 patients in the initial sample of women with endometriosis (Table 1). Mean age was 37 years; 65% were in point-of-service insurance plans; and 51% lived in the South Census region. Across the 22 comorbidity-specific matched cohorts, there were 54,070 unique endometriosis patients with at least one comorbidity observed during their available follow-up (30% of all endometriosis patients). Baseline characteristics among this subset were similar. As unique patients frequently had multiple comorbidities, the 54,070 comorbidity patients accounted for 112,307 patient-comorbidity instances; these were matched 1:1 with control patients. (The sample selection process is documented in Online Supplementary Material, Table S.1.)
Table 1
Baseline characteristics of endometriosis patients
Variable name
All endometriosis patients
Endometriosis patients with ≥ 1 comorbidity
Age at endometriosis diagnosis
Mean (SD)
36.9 (7.6)
37.4 (7.3)
Median (IQR)
38.0 (12.0)
38.0 (11.0)
Insurance product, % (N)
EPO
13.6% (24,530)
15.5% (8382)
HMO
14.5% (26,074)
13.4% (7279)
Indemnity
0.1% (130)
0.0% (8)
Other
0.1% (204)
0.1% (49)
POS
65.0% (117,187)
64.9% (35,135)
PPO
6.7% (12,153)
5.9% (3217)
Census region, % (N)
Northeast
8.6% (15,454)
9.0% (4843)
Midwest
24.1% (43,491)
23.5% (12,702)
South
51.3% (92,508)
52.0% (28,143)
West
15.9% (28,717)
15.5% (8372)
Missing
0.1% (103)
0.0% (10)
Year of earliest endometriosis diagnosis, % (N)
2006
15.1% (27,191)
20.0% (10,831)
2007
12.2% (22,080)
15.0% (8132)
2008
11.3% (20,289)
14.0% (7589)
2009
10.6% (19,124)
13.3% (7194)
2010
9.4% (16,920)
11.2% (6077)
2011
9.2% (16,540)
10.1% (5476)
2012
8.8% (15,813)
8.5% (4594)
2013
9.1% (16,332)
5.9% (3214)
2014
8.0% (14,501)
1.8% (963)
2015
6.4% (11,488)
0.0% (0)
Sample size
180,278
54,070
Unit of analysis is unique patient
SD standard deviation, IQR interquartile range, EPO exclusive provider organization, HMO health maintenance organization, POS point-of-service, PPO preferred provider organization
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Observed covariates were well balanced between the comorbidity patients and their matched controls in the 22 comorbidity cohorts. By construction, balance was perfect on Census region and insurance plan type. Standardized differences were less than 1% for patient age and less than 3% for baseline total spending for all cohorts. Mean pre-index-date spending was similar between comorbidity and control patients in the same cohort. Across the 22 cohorts, baseline total spending differed between the two types of patients by $325 on average, with a range of $182 (eczema) to $547 (stress).
The magnitude and direction of changes in 1-year mean spending per comorbidity patient from before to after the index date are presented in Table 2. Among comorbidity patients, spending increased by a statistically significant amount after onset of eight of 22 comorbidities: breast cancer ($54,453), ovarian cancer ($19,881), pregnancy complications ($7728), systemic lupus erythematosus/rheumatoid arthritis/Sjogren’s/multiple sclerosis ($5073), infertility ($4630), uterine fibroids ($4007), ovarian cyst ($3866), and headache ($373). At the same time, spending decreased significantly for three comorbidities: fatigue (− $385), cystitis/urinary tract infection (UTI) (− $1312), and eczema (− $1626). Spending was not significantly different for the other 11 comorbidities.
Table 2
365-day total spending before and after index date for comorbidity patients
Comorbidity
N
Mean spending 365 days before index date ($)
Mean spending 365 days after index date ($)
(After–before) spending difference ($)
P-value
95% CI
Infertility, subfertility
3442
11,679
16,309
4630
< 0.001
[3954; 5306]
Ovarian cyst
9566
11,245
15,111
3866
< 0.001
[3316; 4416]
Uterine fibroids
6745
10,064
14,072
4007
< 0.001
[3352; 4662]
PID
721
17,256
17,927
671
0.47
[− 1144; 2485]
Pregnancy complications
5384
13,132
20,860
7728
< 0.001
[7130; 8325]
Interstitial cystitis
1027
17,615
19,060
1445
0.09
[− 220; 3110]
Cystitis, UTI
14,826
14,246
12,934
− 1312
< 0.001
[− 1668; − 956]
IBS
4477
15,708
15,430
− 278
0.36
[− 871; 316]
Constipation, dyschezia
6530
16,098
16,635
538
0.10
[− 111; 1186]
Eczema
1594
12,528
10,901
− 1626
< 0.001
[− 2405; − 847]
Depression, anxiety
11,682
13,205
13,350
145
0.50
[− 276; 566]
Mood disorders
212
17,510
18,146
636
0.61
[− 1837; 3110]
Stress
429
14,977
16,212
1235
0.32
[− 1217; 3687]
Fatigue
16,177
12,280
11,894
− 385
0.048
[− 767; − 3]
Fibromyalgia
8011
14,369
14,639
271
0.28
[− 217; 758]
Headache
13,435
12,249
12,622
373
0.045
[8; 738]
Ovarian cancer
264
19,992
39,873
19,881
< 0.001
[11,490; 28,272]
Endometrial cancer
121
22,089
26,093
4004
0.26
[− 3029; 11,037]
Breast cancer
294
17,561
72,014
54,453
< 0.001
[46,869; 62,038]
Hypothyroidism
6378
13,472
13,304
− 168
0.52
[− 686; 349]
SLE, RA, Sjogren’s, MS
595
18,491
23,563
5073
< 0.001
[2643; 7502]
Sprue
397
15,693
15,581
− 112
0.92
[− 2255; 2031]
Total spending amounts are reported in 2015 US dollars
Index date defined as date of earliest claim with comorbidity diagnosis code
PID pelvic inflammatory disorder, UTI urinary tract infection, IBS irritable bowel syndrome, SLE systemic lupus erythematosus, RA rheumatoid arthritis, MS multiple sclerosis, CI confidence interval
Difference-in-differences estimates of the impact of comorbidity onset on 1-year mean spending per patient are reported in Fig. 1 and Online Supplementary Material, Table S.2. For all comorbidities but eczema, spending increased relatively more among comorbidity patients than control patients. These relative increases were mostly in the range of $4000–7000, but were larger for breast cancer ($61,210), ovarian cancer ($27,136), and endometrial cancer ($14,227).
Fig. 1
Difference-in-differences in 365-day total spending for comorbidity patients vs. controls. P ≤ 0.003 for all except eczema (P = 0.94). Total spending amounts are reported in 2015 US dollars, SLE systemic lupus erythematosus, RA rheumatoid arthritis, MS multiple sclerosis
×
To check the sensitivity of results to the criteria for identifying whether a comorbidity was present, analyses were repeated after requiring patients to have at least two separate claims with a diagnosis code for a comorbidity. Results were consistent with, if not stronger than, those from the main analyses (Online Supplementary Material, Table S.3). Mean total spending per patient grew from 1 year before comorbidity onset to 1 year after for 12 comorbidities: breast cancer ($65,754), ovarian cancer ($35,407), endometrial cancer ($16,993) systemic lupus erythematosus/rheumatoid arthritis/Sjogren’s/multiple sclerosis ($9671), pregnancy complications ($9088), uterine fibroids ($8487), ovarian cyst ($6446), infertility ($5389), constipation ($3114), headache ($1427), depression ($983), and fibromyalgia ($843). Before- and after-onset spending levels were not significantly different for the remaining 10 comorbidities. Likewise, in the difference-in-differences analyses, for all comorbidities but mood disorders and stress, spending increased relatively more among comorbidity patients than control patients by statistically significant amounts ranging from $2843 (eczema) to $73,093 (breast cancer) (Online Supplementary Material, Table S.4).
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Cumulative spending since the earliest observed endometriosis claim was examined in an auxiliary analysis of all endometriosis patients regardless of their comorbidity status (Table 3). In the first year after endometriosis diagnosis, mean total spending per patient (including medical and pharmacy claims) for the 108,452 patients with at least a year of follow-up was $20,171, of which $3203 (16%) was for medical claims with a principal diagnosis code for one of the 22 comorbidities and $6609 (33%) was for medical claims with a comorbidity diagnosis code in any position. Among the 19,766 patients with at least 5-year post-diagnosis follow-up, total cumulative spending over the entire 5-year post-diagnosis period was $58,191, of which between $6187 (11%) and $13,332 (23%) came from comorbidity-related medical claims.
Table 3
Mean cumulative spending per patient by years since endometriosis diagnosis
Cumulative spending category
Years since endometriosis diagnosis
Year 1
Year 2
Year 3
Year 4
Year 5
Total (medical + pharmacy) spending ($)
20,171
30,442
39,842
48,958
58,191
100%
100%
100%
100%
100%
Medical spending ($)
18,340
26,795
34,339
41,526
48,676
91%
88%
86%
85%
84%
Comorbidity-related medical spending (principal diagnosis code) ($)
3203
4127
4895
5603
6187
16%
14%
12%
11%
11%
Comorbidity-related medical spending (any diagnosis code) ($)
6609
8599
10,330
11,871
13,332
33%
28%
26%
24%
23%
Pharmacy spending ($)
1832
3647
5503
7432
9515
9%
12%
14%
15%
16%
Sample size
108,452
68,316
45,029
29,995
19,766
Spending amounts are reported in 2015 US dollars and reflect mean total spending since endometriosis diagnosis per patient
Percentages are calculated relative to total spending amounts within column
Year-specific samples comprise endometriosis patients with continuous enrollment through the end of that year regardless of comorbidity status
Discussion
As we and others have found [14‐21], there are a number of comorbidities in women with endometriosis. In trying to understand the meaning and implications of these comorbidities, one important dimension is the economic burden of the diseases which are comorbid in endometriosis patients. In a large sample of commercially insured women with endometriosis, our study examined the effects of 22 comorbidities on healthcare spending. From the year before to the year after comorbidity onset, spending grew in absolute terms for eight comorbidities and declined for three. When compared with matched sets of control patients who had endometriosis but did not experience the focal comorbidity, comorbidity onset was associated with positive and significant relative spending growth for 21 of the 22 comorbid conditions. Relative spending increases were mostly in the range of $4000–7000, but for breast, endometrial, and ovarian cancers, cost increments were substantially larger.
Note that, in all comorbidity cohorts but one, mean spending among control patients decreased from baseline to follow-up (Online Supplementary Material, Table S.2), illustrating the mean reversion inherent in selecting patients on the basis (in part) of their baseline spending levels. To the extent the control patients’ experience represents an accurate counterfactual for the comorbidity patients, we would expect absolute spending to decrease among endometriosis patients in the absence of a comorbidity. The absolute reductions in spending associated with fatigue, cystitis/UTI, and eczema are therefore best explained by the reduction attributable to mean reversion exceeding any increase attributable to comorbidity onset. At the same time, the contemporaneous absolute reductions in spending among the matched control patients were larger than the decreases among comorbidity patients, resulting in difference-in-differences estimates in mean spending that were net positive.
Mirkin et al. evaluated the effects of comorbidities on spending in a population of endometriosis patients using US private payer insurance claims data for 1999–2003 [12]. (For comparability, spending amounts from other studies cited here have been adjusted for inflation to 2015 US dollars using the US Personal Health Care Index.) For each of seven comorbidities (abdominal pain, chronic fatigue syndrome, depression, infertility, interstitial cystitis, irritable bowel syndrome, migraine), they found that the average annual medical spending in 2003 was between $1700 and $5600 higher for endometriosis patients with the specific comorbidity than for the average endometriosis patient overall (regardless of comorbidity status). Their estimates are somewhat smaller than what we found for the same conditions. Mirkin et al.’s estimate of annual spending on, for example, interstitial cystitis was about $5600 compared with our difference-in-differences estimate of about $7000, while their estimate for infertility was about $4000 smaller than ours ($5741 vs. $1690). One possible explanation for the apparent divergence in results is that treatment patterns for comorbidities may have increased in intensity (or price) between 2003 and 2015 by more than the inflation adjuster. Additionally, Mirkin et al. examined spending among patients with prevalent comorbidities in a single year, whereas we studied spending in the year after a comorbidity’s initial observed onset (albeit without a washout period); the results might be reconciled if the cost burden of a comorbidity decreases over time since its onset. Another difference is that their comparison group included all endometriosis patients whereas ours consisted of a matched set based on baseline characteristics.
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The other principal finding from our study was that, as cumulative total spending per patient on healthcare after the first endometriosis claim grew from roughly $20,000 in the first year after diagnosis to three times that by the end of the fifth year, cumulative healthcare spending related to the 22 study comorbidities also increased, but only by a factor of 2. Using a conservative assessment where only medical claims documenting a comorbidity in the first diagnosis position were included, cumulative comorbidity-related spending per endometriosis patient grew from $3203 in the first year (16% of total) to $6187 in the first 5 years (11% of total). In reality, comorbidities are likely responsible for a greater share of total spending, as the above estimates ignore pharmacy spending (for which no diagnosis codes were available) and medical claims with comorbidities in a secondary diagnosis position. Using a less conservative approach that includes the latter yields estimates of comorbidity-related care that account for 33% and 23% of cumulative total spending during the 1- and 5-year periods, respectively, after the initial endometriosis claim.
Prior studies have measured the economic burden associated with endometriosis [10]. Mirkin et al. found that total direct medical spending among endometriosis patients in 2003 averaged over $11,000 per year, which was notably higher than medical spending among women in general (roughly $7000 per year) [12]. Fuldeore et al. took a somewhat different approach with the same data over 2000–2010 and calculated mean spending per patient stratified by year relative to the initial endometriosis diagnosis [11]. Total medical and pharmacy spending was over $14,000 in the first year after diagnosis and about $7000 in each of the second through fifth years. These estimates are somewhat lower than our estimate of $20,171 in the first year and $9000–10,000 annually in the second through fifth years (i.e., as measured by the year-over-year differences in cumulative spending). Nevertheless, no prior studies reported on the share of total spending attributable to comorbidity-related care.
Our findings on the sizeable impact of comorbidities on healthcare spending among women with endometriosis underscore two important points for providers and payers: this patient population exhibits pronounced heterogeneity in expected resource use, and there are potential benefits of comorbidity prevention and early detection efforts. Additional implications of these findings for clinical practice depend largely on the relationship between endometriosis diagnosis and development of subsequent comorbidities [29]. Selection of the 22 comorbidities to study was based on epidemiological evidence of endometriosis–comorbidity associations. Although some of the associations are well known (e.g., pelvic pain, ovarian cysts, infertility), others rely on an evidence base that is not definitive but is growing (e.g., cancer, gastrointestinal disease) [15, 16, 18, 30, 31]. Moreover, the nature of their relationship with endometriosis likely varies across individual comorbidities. In some cases, there may be a direct connection via a common pathophysiology or generalized inflammatory state, while others may be coincidental. This investigation cannot differentiate between these two phenomena. The links between endometriosis and its comorbidities are complicated and await greater understanding of the pathophysiology of endometriosis.
Our findings must be interpreted in the light of the study’s limitations. One set of limitations stems from the use of administrative claims data, which provide limited clinical detail and may be susceptible to coding errors and omissions. The presence of endometriosis was identified using ICD-9-CM diagnosis codes and could not be confirmed on the basis of standard diagnostic criteria, surgical diagnosis with or without histology results, which in practice are obtained only for some patients and were not available in the study data for any [3]. Similar concerns pertain to the accuracy of relying on diagnosis codes to identify the presence of comorbid conditions.
Another set of limitations are associated with features of the study design. In analyzing the impact on spending of individual comorbidities one at a time, follow-up was restricted to 365 days after the initial comorbidity diagnosis, and no adjustment was made for the possible influence of other comorbidities occurring alongside the focal comorbidity, or among control patients, during the baseline or follow-up periods. Second, the sample sizes for some comorbidities (e.g., ovarian, endometrial, and breast cancer, mood disorders) were small, which may have exacerbated the role of outliers in calculating spending levels. Third, in part because of the small sample sizes, our analyses did not account for or stratify by endometriosis location. Fourth, in trying to isolate the effect of comorbidities on spending, the study data lacked the granularity to determine how much of a claim’s spending was attributable to a coded comorbidity vs. other diagnosis codes on that claim.
Generalizability is a further limitation. The patient sample included commercially insured patients aged 18–49 years from a single payer’s experience, over half of whom resided in the South Central Census region. Thus, these patients may not represent the overall female population of reproductive age or of younger or older females. Likewise, we analyzed 22 comorbidities, which do not necessarily reflect all endometriosis-related comorbidities. Moreover, with only a year of follow-up after the earliest endometriosis claim, our data do not reflect a patient’s lifetime risk of comorbidities. We suspect the short follow-up explains why only 30% of the full endometriosis sample experienced a comorbidity.
Conclusion
While large healthcare expenditures of women with endometriosis have been documented previously, the findings from this retrospective study of a large, contemporary cohort of commercially insured endometriosis patients indicate that comorbidities contribute substantially to the economic burden. For eight of 22 comorbidities associated with endometriosis, there were statistically significant absolute increases in healthcare spending after onset; for 21 comorbidities, there were significant relative increases in spending.
Finally, we have no information about whether there are any physiological mechanisms that tie together this wide variety of disease conditions identified as comorbidities with endometriosis per se. While it appears that the inflammatory and immune systems are altered in women with endometriosis in certain tissue [32], whether observations of this nature can be connected in any way to the pathophysiology of these comorbid conditions remains speculative and would require extensive future investigation.
Acknowledgements
Sponsorship for this study, article processing charges, and the open access fee were funded by AbbVie Inc. AbbVie participated in data analysis, interpretation of data, review, and approval of the manuscript. All authors had full access to all of the data in this study and take complete responsibility for the integrity of the data and accuracy of the data analysis.
Clinical expertise regarding comorbidity selection was provided by the late Dr. Craig A. Winkel, MD, who was paid consulting fees by AbbVie Inc. Medical writing services were provided by Suchin Virabhak of Medicus Economics. Medical writing services were funded by AbbVie Inc.
All named authors meet the International Committee of Medical Journal Editors (ICMJE) criteria for authorship for this manuscript, take responsibility for the integrity of the work as a whole, and have given final approval for the version to be published.
Disclosures
Ahmed Soliman is an AbbVie employee and may hold AbbVie stocks or stock options. Michael Snabes is an AbbVie employee and may hold AbbVie stocks or stock options. Andrew Epstein is an employee of Medicus Economics, which received a research contract to conduct this study with and on behalf of AbbVie. Scott Johnson is an employee of Medicus Economics, which received a research contract to conduct this study with and on behalf of AbbVie. Matthew Davis is an employee of Medicus Economics, which received a research contract to conduct this study with and on behalf of AbbVie. Eric Surrey is medical director at the Colorado Center for Reproductive Medicine, has served in a consulting role on research to AbbVie and is on the speaker bureau for Ferring Laboratories.
Compliance with Ethics Guidelines
This article does not contain any studies with human participants or animals performed by any of the authors.
Data Availability
The datasets analyzed during the current study are not publicly available because they are proprietary and data use agreements prohibit their release. Software code is 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 noncommercial use, distribution, and reproduction 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.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0), which permits use, duplication, adaptation, distribution, and reproduction in any medium or format, as long as 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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Seit November 2023 gibt es evidenzbasierte Empfehlungen zum perioperativen Management bei gastrointestinalen Tumoren (POMGAT) auf S3-Niveau. Vieles wird schon entsprechend der Empfehlungen durchgeführt. Wo es im Alltag noch hapert, zeigt eine Umfrage in einem Klinikverbund.
Mit dem demographischen Wandel versorgt auch die Chirurgie immer mehr betagte Menschen. Von Entwicklungen wie Fast-Track können auch ältere Menschen profitieren und bei proximaler Humerusfraktur können selbst manche 100-Jährige noch sicher operiert werden.
Worauf kommt es beim Management von Personen mit infektiöser Endokarditis an? Eine Kardiologin und ein Kardiologe fassen die zehn wichtigsten Punkte der neuen ESC-Leitlinie zusammen.
Ältere Frauen, die von chronischen Erkrankungen weitgehend verschont sind, haben offenbar die besten Chancen, ihren 90. Geburtstag zu erleben, wenn ihr systolischer Blutdruck < 130 mmHg liegt. Das scheint selbst für 80-Jährige noch zu gelten.
Update Innere Medizin
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