Accepted Manuscript Lower Socioeconomic Status is Associated with Delayed Access to Care for Infantile Hemangioma, a Cohort Study Erina Lie, MD, Kevin J. Psoter, PhD, Katherine B. Püttgen, MD PII:
S0190-9622(18)32652-5
DOI:
10.1016/j.jaad.2018.09.041
Reference:
YMJD 12833
To appear in:
Journal of the American Academy of Dermatology
Received Date: 14 May 2018 Revised Date:
10 September 2018
Accepted Date: 24 September 2018
Please cite this article as: Lie E, Psoter KJ, Püttgen KB, Lower Socioeconomic Status is Associated with Delayed Access to Care for Infantile Hemangioma, a Cohort Study, Journal of the American Academy of Dermatology (2018), doi: https://doi.org/10.1016/j.jaad.2018.09.041. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
ACCEPTED MANUSCRIPT 1 Article Type: Original article Title: Lower Socioeconomic Status is Associated with Delayed Access to Care for Infantile Hemangioma, a Cohort Study
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Authors: Erina Lie, MDa; Kevin J. Psoter, PhDb; Katherine B. Püttgen, MDa
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Manuscript: 2500 words Capsule summary: 50 words Abstract: 200 words References: 35 Table count: 5 Figure count: 0
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Address correspondence to: Erina Lie, MD Johns Hopkins University School of Medicine Department of Dermatology 200 N. Wolfe St, Unit 2107 Baltimore, MD 21287 (E):
[email protected] (P): 267-608-8222 | (F): 410-614-9308
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Affiliations: aJohns Hopkins School of Medicine, Department of Dermatology, Baltimore, MD; b Johns Hopkins School of Medicine, Department of Pediatrics, Baltimore, MD
IRB: Reviewed and approved by Johns Hopkins University IRB; approval #IRB00039855
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Funding Source: None
Financial Disclosure: Dr. Katherine Püttgen has served as a consultant to Pierre Fabre. The remaining authors have no financial relationships relevant to this article to disclose Conflicts of Interest: The authors have no conflicts of interest relevant to this article to disclose Keywords: pediatric dermatology; infantile hemangioma; access to care; socioeconomic status; system-based practice; cohort study
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ABSTRACT
39 Background: Early specialist evaluation during rapid proliferative growth of complicated
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infantile hemangiomas (IH) is crucial. Health disparities and barriers of access-to-care for
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children with IH have not been examined.
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Objective: Investigate whether socioeconomic status (SES) is associated with age at
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subspecialist presentation for IH evaluation.
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Method: Retrospective cohort study of 804 children presenting to a large academic hospital.
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Primary outcome was age at initial presentation. Covariates included demographic,
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socioeconomic, geographic, and clinical characteristics. Medicaid or Children's Health Insurance
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Program (CHIP) were proxies for lower SES. Analysis of covariance, χ2 tests, and generalized
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ordered logistic regressions were performed.
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Results: Children with lower SES had higher odds of presenting after 3 months of age (OR 2.11,
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95% CI 1.31-3.38). In the subset that qualified for institutional care management program
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(ICMP), no risk factors were associated with delayed presentation.
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Limitations: Use of insurance and economic distress as proxies for SES; exclusion of uninsured
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children may underestimate racioethnic effects; single academic center study limiting
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generalizability.
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Conclusions: Children with IH and lower SES were more likely to present later to specialists,
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but those enrolled in an ICMP did not, suggesting that integrated ICMPs may mitigate disparities
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and delayed access-to-care for IH among lower SES populations.
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INTRODUCTION Infantile hemangiomas (IH) are common vascular birthmarks with a unique life-cycle involving rapid proliferation in the first months of life and eventual involution by 3.5 and 4 years
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of age in the vast majority.1-4,7 The most rapid growth occurs within 5.5-7.5 weeks of age and
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over 80% of growth occurs by 3 months of age.3,4 More than 10% of children require specialist
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evaluation to manage or prevent complications such as disfigurement, ulceration, visual, airway
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or auditory compromise, feeding difficulties, hepatic dysfunction, infection, or bleeding.1 IH that
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are facial, large, or segmental are associated with higher morbidity and risk of complications
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requiring medical management.5,6 Moreover, approximately 50% may leave residual skin
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changes, including telangiectasias, fibrofatty tissue, anetoderma, redundant skin, disfiguring
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scars, or destruction of anatomic landmarks after involution.7 For infants at risk for
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complications and disfiguring sequelae, early diagnosis by pediatricians and timely referral to
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vascular anomalies specialists in early infancy is crucial since early therapeutic intervention may
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prevent complications, improve outcomes, and positively impact the burden of disease and
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quality of life.3,6,8-11 Disparities in healthcare access are well documented in dermatology and
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pediatric primary care,12-18 but to our knowledge, health disparity and barriers to care for children
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with IH have not been examined. Identifying factors associated with access to subspecialty
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services may optimize the care, health outcomes, and quality of life of children with IH. This
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study aimed to determine whether children of particular racioethnicity or socioeconomic status
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(SES) present at an older age to subspecialty care for IH evaluation.
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METHODS
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Study Population The study population included all children younger than 18 years with a state of
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Maryland residential zip-code presenting to a single academic hospital specialty-care center for
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initial or follow-up evaluation with a diagnosis of IH as classified according to the International
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Classification of Diseases, ninth or tenth revisions,i during the 3-year period of July 1, 2013 to
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June 30, 2016. Patients presenting initially to the following subspecialties were included:
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dermatology, surgery, plastics, gastroenterology, ophthalmology, and otolaryngology. Children
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with non-IH vascular anomalies, confirmed by chart review, and with unknown date of prior
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presentation to outside specialty-care for IH evaluation were excluded. Accounting for the
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introduction of widespread oral propranolol therapy, we excluded patients with initial
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presentation prior to 2010. Demographic and clinical data were abstracted from electronic
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medical records and photographs taken from each patient’s initial presentation for IH evaluation.
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Outcome
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The primary outcome was age at initial presentation for subspecialty IH evaluation. Age
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at presentation was classified into ordered categorical variables indicating longer time to initial
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presentation for IH in the following manner: (1) early presentation, defined as first clinical
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presentation prior to three months of age; (2) delayed presentation for presentation between three
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and six months of age; or (3) late presentation as presentation after six months of age.
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Included ICD-9: 228.00, 228.01, 228.04, 228.09, 747.60, 757.32 or ICD-10: D18.00, D18.01, D18.03, D18.09, D18.1, D49.2, Q82.5, Q85.8, Q85.9, Q89.8, Q89.9, Q10.7, Q27.30, Q27.8, Q27.9, Q28.9, Q38.0, I78.1, I99.9, L98.8
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Covariates The following individual-level covariates were investigated as potential risk factors for later presentation: gender (male vs. female), race (African American vs. other), ethnicity
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(Hispanic vs. non-Hispanic), and distance to the nearest institution-affiliated vascular anomalies
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specialist. Distances were calculated using ArcGIS, Version 10.4 (ESRI, Redlands, CA, USA) as
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the shortest Euclidean distance from the patient’s residential zip-code centroid to the nearest
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such practice in the state of Maryland.
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Medical insurance (primary payor) served as individual-level proxy for SES, where coverage through the Maryland medical assistance (MA) program or the state Children’s Health
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Insurance Program (CHIP) program was defined as lower SES.19 Patients with commercial
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insurance or Tricare, who did not receive state or federal MA, and who were self-pay were
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classified as private insurance or higher SES. Additionally, we identified individuals in the Johns
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Hopkins HealthCare LLC (JHHC), an institution-sponsored program for select payors to
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facilitate healthcare and insurance management services. Partner payors encompassed managed
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care organizations (MCO), government programs and employee health insurance, which
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included both MA/CHIP and non-MA/CHIP payors. Distressed community index (DCI) score, a
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measure of economic distress and prosperity based on seven indicators: education, housing,
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unemployment, poverty rate, income, change in employment, and change in business
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establishments,20 corresponding to each patient’s zip-code of residence, served as community-
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level proxy for SES. Higher DCI scores correspond to higher levels of distress.
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Statistical analyses Demographic and clinical characteristics were compared in this retrospective cohort between early, delayed and late presenters using analysis of covariance and χ2 tests for
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continuous and categorical covariates, respectively. We compared these characteristics between
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children with higher and lower SES, and between children with non-JHHC and JHHC payor
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programs using t-tests with unequal variances and χ2 tests.
Initially univariate generalized ordered logistic regression with a partial proportional odds
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assumption21 was used to evaluate the association of a priori identified characteristics with the
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categorical outcome, time at presentation (early, delayed, or late). These initial analyses also
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considered clinical characteristics, including the hemangioma severity scale (HSS) score,ii
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history of ulceration or bleeding, number of lesions, and lesion type (segmental vs. non-
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segmental).5 These models fitted two separate logistic regressions, one at each cut point of the
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outcome variable: early vs. delayed/late presenters and early/delayed vs. late presenters.
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Multivariable generalized ordered logistic regressions were then constructed and included all
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demographic and clinical factors. The proportional odds assumption (i.e. parallel lines
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assumption) was evaluated using the variable specific and global Brant tests. For variables in
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which the proportional odds assumption was violated, separate point estimates were presented.
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Preplanned subgroup analyses were performed to evaluate whether risk factors differed
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based upon payor type and JHHC membership. Due to limitations of small sample sizes in one or
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more subcategories, subgroup analyses for race and ethnicity were not performed. Regression
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model results are presented as odds ratio (OR) with corresponding 95% confidence intervals
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(CI). A two-sided P<0.05 was considered statistically significant. All analyses were performed ii HSS is a validated scoring tool developed by Haggstrom AN, et al. that numerically quantifies the severity of IH lesions, accounting for size, location, pain, risk of complications, and disfigurement (see Reference #5 for original publication on this topic)
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using STATA Version 14.1 (StataCorp, College Station, TX, USA) and generalized ordered
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logistic regressions were fitted using the gologit2 function for STATA.22
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RESULTS A total of 804 children met inclusion criteria and comprised the study population of which 219 (27.2%), 284 (35.3%), and 301 (37.4%) were classified as early, delayed and late
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presenters, respectively. The mean age at presentation was 1.9 months (SD 0.7), 4.3 (SD 0.9) and
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21.1 (SD 29.4), respectively.
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Table I describes the demographic and clinical characteristics of the study population,
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overall and by time of IH presentation. Most were female (66.4%), Caucasian (72.9%), non-
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Hispanic (82.1%), had higher-SES payors (77.0%) and had non-JHHC payors (83.6%). In
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general, demographic characteristics did not differ significantly between presentation groups.
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However, the early-presenting group had a greater proportion of children with higher-SES payor
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(early 83.1% vs. delayed 73.2% vs. late 76.1%, p=0.030) while the delayed-presenting group had
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a higher proportion of Hispanics (early 6.9% vs. delayed 11.6% vs. late 6.0%, p=0.048). Several
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clinical characteristics were significantly different, including higher severity score (early 7.9 vs.
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delayed 6.6 vs. late 5.2, p<0.001) and proportion of segmental IH (early 8.7% vs. delayed 4.2%
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vs. late 2.3%, p=0.003). Table II details the demographic and clinical characteristics at initial
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subspecialty presentation by primary payor (insurance provider) and by participation in JHHC.
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In unadjusted analyses, lower-SES and JHHC payor groups were associated with later presentation, whereas patients with higher severity score and segmental IH were more likely to
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present earlier (Table III). After adjustment for clinical characteristics, lower-SES remained
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significantly associated with early vs. delayed/late presentation (OR 2.11, 95% CI 1.31-3.38).
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Clinically, increasing severity score was associated with lower odds of presenting after 3 and 6
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months (OR 0.90, 95% CI 0.87-0.93) and having more than one IH lesion was associated with
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lower odds of presenting after 6 months of age (OR 0.72, 95% CI 0.52-1.00).
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Multivariable analyses demonstrated that among children with non-JHHC payors, having lower-SES payors was associated with higher odds of presenting after 3 months (OR 2.37, 95%
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CI 1.33-4.22). Increasing severity score and having more than one IH were associated with an
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11% (95% CI 7-14%) lower odds of presenting after 3 and 6 months and 31% (95% CI 1-51%)
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lower odds of presenting after 6 months of age (Table IV). In contrast, children with JHHC
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payors had no demographic or clinical risk factors that were significantly associated with later
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presentation.
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Among children with higher-SES payors, no demographic risk factors were significantly associated with time-of-presentation in multivariable analyses; however, increasing severity
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score (OR 0.90, 95% CI 0.87-0.94) was associated with later presentation after both 3 and 6
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months, while having more than one IH (OR 0.66, 95% CI 0.46-0.96) was associated with lower
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odds of presenting after 6 months of age (Table V). Higher DCI score was associated with lower
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odds of presenting after 6 months (OR 0.85, 95% CI 0.75-0.97) in children with lower-SES
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payors. Higher severity score (OR 0.85, 95% CI 0.78-0.93) and segmental IH (OR 0.06, 95%CI
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0.01-0.34) were associated with higher odds of presenting after 6 and 3 months of age,
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respectively.
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DISCUSSION Several studies suggest that the first 4 weeks of life is the optimal age of referral to specialist care, yet there is often a delay in presenting high-risk IH to specialists with an average
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initial evaluation frequently occurring at age 4 months or later.2-4,24 This discrepancy means
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children often miss the optimal treatment window during the rapid proliferative phase when
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therapy, if necessary, is most efficacious and associated with the lowest risk of long-term
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sequelae.2-4,25 Reasons for this delay may be multifactorial and are not well-studied.
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In our cohort, children with lower SES were more likely to present after 3 months of age relative to their higher-SES counterparts. This is consistent with other studies showing that
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children covered by Medicaid-CHIP face greater barriers to specialty care than those with
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commercial insurance.26-29 Medicaid-insured children generally come from households with
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lower income, education, and health literacy that may contribute to this disparity. Additionally,
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subspecialists tend to have limited acceptance of public insurance relative to primary care
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providers due in part to lower reimbursement and longer time-to-payment for Medicaid
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beneficiaries relative to private insurance.26-28 Chaudhry and colleagues reported a <20%
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Medicaid-insured acceptance rate for new patients seeking atopic dermatitis evaluation with
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dermatologists.30,31 Dermatology and otolaryngology are among the top three specialties with
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limited access for Medicaid-CHIP patients relative to privately-insured patients.26,28
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We found no difference in time to presentation based on gender, race, ethnicity, distance
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to the nearest subspecialty clinic, membership in our institution’s managed-care program or DCI
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score. Reassuringly, clinical characteristics including higher severity score and greater number of
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IH were more likely to present earlier regardless of SES status.
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Children with Medicaid-CHIP who were enrolled in our institution-facilitated managedcare program (JHHC lower-SES payors) did not present later than their peers with JHHC higher-
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SES payors suggesting that facilitating care-management may mitigate against the disparity in
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timely access-to-care for IH evaluation in children of lower SES. One possible explanation is
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that the JHHC program facilitates appointment scheduling to subspecialists within the institution.
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Our dermatology clinics impose a maximum limit on time-to-appointment for all patients with
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IH, further facilitating timely access to appointments. Many patients have pediatricians within
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the institution who often have existing relationships with or work in close proximity to pediatric
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subspecialists, which may also facilitate better communication and identification of referral
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needs. It is worth nothing that many pediatric subspecialists are housed within academic medical
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centers, which have been shown to attenuate disparities in access-to-care for children with
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MA/CHIP.28,29 Establishing effective relationships with pediatricians is also of paramount
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importance for facilitating early identification and referral to subspecialty care.
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In our cohort, lower-SES children living in more distressed residential areas were more likely to present before 6 months relative to their fellow lower-SES peers residing in less
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distressed areas. Our institution is located in one of the most distressed neighborhoods in the
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state serving a majority of very low SES population. It is likely that there was a higher
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proportion of children with high DCI score residing in closer proximity to our facilities, thus
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contributing to better access to referring pediatrician and subspecialty services. Further studies to
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investigate this relationship and characterize the elements of DCI score that contribute to time-
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of-presentation for IH evaluation would be beneficial. The importance of safety net providers
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(SNPs), which encompass academic medical centers, community health centers, and providers of
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specialized services, in improving access for poorly-insured patients is well-established.28,29,32
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ACCEPTED MANUSCRIPT 12 This finding suggests the need to support these institutions and defend funding for long-term
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sustainability, especially with threats to the Medicaid and Medicare Disproportionate Share
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Hospital allotments for SNPs, unclear sustainability of long-term CHIP funding, and the
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continued discussion of possible adjustments to the Patient Protection and Affordable Care Act
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of 2010.32,33
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Our findings highlight the importance of SNPs in attenuating inequalities in healthcare access, calling attention to an important way in which academic medical institutions can help
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bridge the access gap and foster more equal healthcare access for children. We suggest a
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potential role for institution-facilitated care-management programs (ICMPs) to mitigate
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disparities in timely access-to-care for lower SES pediatric populations. Further investigation on
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the impact of such services on cost and health outcome is warranted.
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Examining follow-up care and patient outcome fall beyond the scope of this study, but is an important next step to further understand the consequence of health disparities. Further studies
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comparing referral patterns among various conditions sensitive to early subspecialty evaluation
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may potentially reveal ubiquitous factors contributing to pediatric health disparities.
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Limitations
We used insurance status as an individual-level proxy and DCI scores as a community-
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level proxy for SES due to unavailable individual household income data. Uninsured patients
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were excluded from this study due to unavailable data. Hispanics and non-Caucasians have
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higher likelihoods of being uninsured and having lower income, and Hispanics are more likely to
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have lower access to primary care,34,35 so exclusion of uninsured children may underestimate the
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effect of racioethnic factors. Patients with pediatrician referral who did not schedule an
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access-to-care specific to the local healthcare market in Maryland at a single academic medical
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center, which may limit generalizability. Likewise, access to specialty care may be dictated by
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the number of specialists or centers in a particular region, thus limiting timely access regardless
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of payor type. Heterogeneity of clinical practice and referral patterns by individual physicians
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within the institution and region may also affect time-of-presentation. Finally, despite our efforts
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to adjust for meaningful confounders, residual confounders could exist. We considered but
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excluded additional variables including those for non-English speakers, need for interpreter
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services, and presence of internal IH or PHACE syndrome, due to the lack of complete data.
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CONCLUSIONS Earlier evaluation of complicated IH by a specialist is associated with better clinical outcome and may prevent complications, disfigurement, and functional impairment.1-3,6,8-11,23 We
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found that children with lower SES were more likely to present after 3 months of age than their
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higher-SES counterparts, but that children enrolled in an ICMP did not present later. It is
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reassuring that children in our cohort with severe and multiple IH were more likely to present
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earlier regardless of SES status. Our findings suggest that integrated ICMPs may mitigate against
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disparities in timely access-to-care for IH evaluation, particularly for children with lower SES.
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AUTHORSHIP DECLARATION
289 Dr. Katherine Püttgen conceptualized and designed the study, supervised data collection, and
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critically reviewed and revised the manuscript. Dr. Erina Lie coordinated and performed data
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collection, carried out the initial analyses, drafted the initial manuscript, and reviewed and
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revised the manuscript. Prof. Kevin Psoter provided guidance and oversight on statistical
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analyses, and reviewed and revised the manuscript. All authors approved the final manuscript as
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submitted and agree to be accountable for all aspects of the work.
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ABBREVIATIONS
ACA – Affordable Care Act 2010
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CHIP – Children’s Health Insurance Program
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CI – confidence interval
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DCI – distressed community index
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FY – fiscal year
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JHHC – Johns Hopkins HealthCare LLC
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HSS – hemangioma severity scale
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IH – infantile hemangioma
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ICD – International Classification of Diseases
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ICMP – institutional care management program
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MA – medical assistance
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MCO – managed care organizations
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OR – odds ratio
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SD – standard deviation
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SES – socioeconomic status
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SNP – safety net provider
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REFERENCES
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1. Hoeger PH, Harper JI, Baselga E, et al. Treatment of infantile haemangiomas: recommendations of a European expert group. Eur J Peds. 2015 Jul;174(7):855-65.
338
2. Anderson KR, Schoch JJ, Lohse CM, Hand JL, Davis DM, Tollefson MM. Increasing
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incidence of infantile hemangiomas (IH) over the past 35 years: Correlation with decreasing
340
gestational age at birth and birth weight. J Am Acad Dermatol. 2016 Jan; 74(1):120-6.
342 343 344 345
3. Tollefson MM, Frieden IJ. Early growth of infantile hemangiomas: what parents’ photographs tell us. Pediatrics. 2012 Aug; 130(2):e314-20.
M AN U
341
SC
339
4. Chang L, Haggstrom AN, Drolet BA, et al. Growth characteristics of infantile hemangiomas: implications for management. Pediatrics. 2008 Aug;122(2):360-7. 5. Haggstrom AN, Beaumont JL, Lai JS, et al. Measuring the severity of infantile hemangiomas: instrument development and reliability. Arch Dermatol. 2012 Feb;
347
148(2):197-202.
348
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346
6. Haggstrom AN, Drolet BA, Baselga E, et al. Prospective study of infantile hemangiomas: clinical characteristics predicting complications and treatment. Pediatrics. 2006 Sep;
350
118(3):882-7.
EP
349
7. Baselga E, Roe E, Coulie J, et al. Risk Factors for Degree and Type of Sequelae After
352
Involution of Untreated Hemangiomas of Infancy. JAMA Dermatol. 2016 Nov 1;
353
152(11):1239-1243.
354 355
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351
8. Boccara O, Méni C, Léauté-Labreze C, et al. Haemangioma family burden: creation of a specific questionnaire. Acta Derm Venereol. 2015 Jan; 95(1):78-82.
ACCEPTED MANUSCRIPT 18 356
9. de Graaf M, Totte J, Breugem C, van Os-Medendorp H, Pasmans S. Evaluation of the Compliance, Acceptance, and Usability of a Web-Based eHealth Intervention for Parents of
358
Children with Infantile Hemangiomas: Usability Study. JMIR Res Protoc. 2013 Dec 17;
359
2(2):e54.
360
RI PT
357
10. Sagi L, Zvulunov A, Lapidoth M, Ben Amitai D. Efficacy and safety of propranolol for the treatment of infantile hemangioma: a presentation of ninety-nine cases. Dermatology. 2014;
362
228(2):136-44.
SC
361
11. Chamlin SL, Mancini AJ, Lai JS, et al. Development and Validation of a Quality-of-Life
364
Instrument for Infantile Hemangiomas. J Invest Dermatol. 2015 Jun; 135(6):1533-9.
368 369 370 371 372 373 374
13. Federico MJ, Liu AH. Overcoming childhood asthma disparities of the inner-city poor. Ped Clin North Am. 2003 Jun; 50(3):655-75.
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367
117(5):426-34.
14. Flores G, Tomany-Korman SC. Racial and ethnic disparities in medical and dental health, access to care, and use of services in US children. Pediatrics. 2008 Feb; 121(2):e286-98. 15. Dougherty D, Chen X, Gray DT, Simon AE. Child and adolescent health care quality and
EP
366
12. Carter-Pokras O, Baquet C. What is a "health disparity"? Public Health Rep. 002 Sep-Oct;
disparities: are we making progress? Acad Pediatr. 2014 Mar-Apr; 14(2):137-48. 16. Findley K, Williams DR, Grice EA, Bonham VL. Health Disparities and the Microbiome.
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Trends Microbiol. 2016 Nov; 24(11):847-50.
375
17. Jamerson T, Sylvester R1, Jiang Q, et al. Differences in Cardiovascular Disease Risk Factors
376
and Health Behaviors Between Black and Non-Black Students Participating in a School-
377
Based Health Promotion Program. Am J Health Promot. 2017 Jul; 31(4):318-24.
ACCEPTED MANUSCRIPT 19 18. Smith DF, Boss EF. Racial/ethnic and socioeconomic disparities in the prevalence and
379
treatment of otitis media in children in the United States. Laryngoscope. 2010 Nov;
380
120(11):2306-12.
381
19. Maryland Health Connection. Medicaid Basics and Benefits.
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378
382
https://www.marylandhealthconnection.gov/shop-and-compare/medicaid-basics-and-
383
benefits/. Accessed: September 19, 2017.
385
20. Economic Innovation Group. "The Distressed Communities Index" Maryland Zipcode Level
SC
384
DCI Scores. http://eig.org/dci. Published: November 3, 2015. Accessed: June 26, 2017. 21. Hosmer Jr DW, Lemeshow S. Applied logistic regression. John Wiley & Sons. 2004.
387
22. Williams R. Generalized ordered logit/partial proportional odds models for ordinal dependent
388
M AN U
386
variables. Stata Journal. 2006 Mar 1; 6(1):58.
23. Hemangioma Investigator Group. Haggstrom AN, Drolet BA, Baselga E, et al. Prospective
390
study of infantile hemangiomas: demographic, prenatal, and perinatal characteristics. J
391
Pediatr. 2007 Mar; 150:291-4.
392
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24. Wedgeworth E, Glover M, Irvine AD, et al. Propranolol in the treatment of infantile haemangiomas: lessons from the European Propranolol In the Treatment of Complicated
394
Haemangiomas (PITCH) Taskforce survey. Br J Dermatol. 2016 Mar;174(3):594-601.
395
25. de Graaf M, Knol MJ, Totté JE, et al. E-learning enables parents to assess an infantile
397 398 399 400
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396
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393
hemangioma. J Am Acad Dermatol. 2014 May; 70(5):893-8. 26. Bisgaier J, Rhodes KV. Auditing access to specialty care for children with public insurance. N Engl J Med. 2011 Jun 16; 364(24):2324-33. 27. Prindaville B, Antaya RJ, Siegfried EC. Pediatric dermatology: past, present, and future. Pediatr Dermatol. 2015 Jan-Feb; 32(1):1-12.
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403 404 405 406 407
Access for Children. Arch Pediatr Adolesc Med. 2012 Apr; 166(4):304-10. 29. Skinner AC, Mayer ML. Effects of insurance status on children's access to specialty care: a systematic review of the literature. BMC Health Serv Res. 2007 Nov 28; 7:194.
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28. Bisgaier J, Polsky D, Rhodes KV. Academic Medical Centers and Equity in Specialty Care
30. Chaudhry SB, Armbrecht ES, Shin Y, et al. Pediatric access to dermatologists: Medicaid versus private insurance. J Am Acad Dermatol. 2013 May; 68(5):738-48.
31. U.S. Government Accountability Office. Medicaid and CHIP: most physicians serve covered
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children but have difficulty referring them for specialty care. Report to Congressional
409
Committees. http://www.aap.org/workforce/GAO_Report_Medicaid_CH_June2011.pdf.
410
Accessed: July 7, 2017.
413 414 415 416
United States. N Engl J Med. 2016 Nov 3; 375:1790-6.
33. Mead KH, Brantley E, Zur J, Goldberg DG. Collaboration Across the Safety Net in the Era
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32. Chokshi DA, Chang JE, Wilson RM. Health Reform and the Changing Safety Net in the
of Health Reform: Opportunities or Obstacles? Med Care Res Rev. 2017 Jun; 74(3):286-310. 34. Office of Disease Prevention and Health Promotion. Healthy People 2020, 2020. https://www.healthypeople.gov/. Accessed: September 19, 2017.
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35. Berdahl TA, Friedman BS, McCormick MC, Simpson L. Annual report on health care for
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children and youth in the United States: trends in racial/ethnic, income, and insurance
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disparities over time, 2002-2009. Acad Pediatr. 2013 May-Jun; 13(3):191-203.
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ACCEPTED MANUSCRIPT 21 Table I. Characteristics of Children Evaluated for Infantile Hemangioma at Initial Subspecialty Presentation Age at IH Presentation Early (N = 219) Delayed (N = 284)
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a
Late (N = 301)
P value
21.1 (29.4)
n/a
4.3 (0.9)
148 (67.6) 71 (32.4)
183 (64.4) 101 (35.6)
172 (78.5) 14 (6.4) 33 (15.1)
199 (70.1) 24 (8.5) 61 (21.5)
15 (6.9) 186 (84.9) 18 (8.2) 32.3 (29.0)
33 (11.6) 218 (76.8) 33 (11.6) 35.4 (33.1)
18 (6.0) 256 (85.0) 27 (9.0) 33.2 (34.1)
182 (83.1) 37 (16.9)
208 (73.2) 76 (26.8)
229 (76.1) 72 (23.9)
192 (87.7) 27 (12.3) 28.8 (25.5)
236 (83.1) 48 (16.9) 29.5 (25.7)
244 (81.1) 57 (18.9) 27.9 (23.9)
7.5 (5.5)
6.6 (4.3)
5.2 (3.4)
<0.001
181 (82.6) 38 (17.4)
239 (84.2) 45 (15.8)
264 (87.7) 37 (12.3)
0.241
158 (72.2) 61 (27.8)
188 (66.2) 96 (33.8)
226 (75.1) 75 (24.9)
0.056
200 (91.3) 19 (8.7)
272 (95.8) 12 (4.2)
294 (97.7) 7 (2.3)
0.003
RI PT
1.9 (0.7)
TE D
203 (67.4) 98 (32.6)
0.679
215 (71.4) 25 (8.3) 61 (20.3)
0.283
SC
Characteristic Overall (N = 804) Demographics Age, mean (SD), month 9.9 (20.0) Gender Female 534 (66.4) Male 270 (33.6) Race Caucasian 586 (72.9) African American 63 (7.8) Otherb 155 (19.3) Ethnicity Hispanic or Latino 66 (8.2) Not Hispanic or Latino 660 (82.1) Unidentified 78 (9.7) Distance to clinic, mean 33.7 (32.4) (SD), km c Payor Higher SES 619 (77.0) Lower SES 185 (23.0) JHHC program No 672 (83.6) Yes 132 (16.4) d DCI Score, mean (SD) 28.7 (25.0) Clinical Characteristics Severity score, mean (SD) 6.4 (4.5) Ulceration or bleeding No 684 (85.1) Yes 120 (14.9) Number of IH lesion One 572 (71.1) More than one 232 (28.9) Type of IH lesion Non-segmental 766 (95.3) Segmental 38 (4.7)
M AN U
421 422
0.048 0.540
0.030
0.128 0.726
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Abbreviations: IH = infantile hemangioma; SES = socioeconomic status; JHHC = Johns Hopkins HealthCare LLC; DCI = distressed community index; MA/CHIP = medical assistance/Children’s Health Insurance Program; SD = standard deviation a Statistically significant P-values based upon analysis of variance or Chi squared tests for continuous and categorical variables, respectively, in bold b Other includes Asian (n = 30), American Indian or Alaska Native (n = 1), Native Hawaiian or Pacific Islander (n = 1), two or more races (n = 28), and unidentified (n = 95) c Lower SES includes insurance through the Maryland MA/CHIP program; Higher SES includes commercial non-MA/CHIP and self-pay insurances d DCI score is an estimated measure of economic distress and prosperity for each zip-code based on seven indicators: education, housing, unemployment, poverty rate, income, change in employment, and change in business establishments. Higher scores correspond to higher levels of distress
423
ACCEPTED MANUSCRIPT 22 Table II. Characteristics at Initial Infantile Hemangioma Presentation by Type of Insurance Provider (Primary Payor) and Membership in the Johns Hopkins HealthCare LLC Payor Program, Respectively
9.8 (23.1)
0.941
9.7 (18.9)
11.3 (24.7)
0.387
182 (29.4) 208 (33.6) 229 (37.0)
37 (20.0) 76 (41.1) 72 (38.9)
0.030
192 (28.6) 236 (35.1) 244 (36.3)
27 (20.5) 48 (36.4) 57 (43.2)
0.128
415 (67.0) 204 (33.0)
119 (64.3) 66 (35.7)
0.492
511 (82.6) 24 (3.9) 84 (13.6)
75 (40.5) 39 (21.1) 71 (38.4)
<0.001
28 (4.5) 526 (85.0) 65 (10.5) 32.0 (26.3)
38 (20.5) 134 (72.5) 13 (7.0) 39.5 (47.1)
569 (91.9) 50 (8.1) 23.5 (21.3)
103 (55.7) 82 (44.3) 46.2 (28.3)
6.2 (4.3)
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10.0 (19.0)
90 (68.2) 42 (31.8)
0.639
515 (76.6) 46 (6.9) 111 (16.5)
71 (53.8) 17 (12.9) 44 (33.3)
<0.001
42 (6.3) 559 (83.2) 71 (10.6) 33.1 (29.8)
24 (18.2) 101 (76.5) 7 (5.3) 37.1 (43.4)
<0.001
569 (84.7) 103 (15.3) 26.6 (23.7)
50 (37.9) 82 (62.1) 39.5 (28.3)
7.1 (5.1)
0.026
6.4 (4.4)
6.7 (5.0)
0.390
538 (86.9) 81 (13.1)
146 (78.9) 39 (21.1)
0.007
578 (86.0) 94 (14.0)
106 (80.3) 26 (19.7)
0.092
433 (69.9) 186 (30.1)
139 (75.1) 46 (24.9)
0.172
470 (69.9) 202 (30.1)
102 (77.3) 30 (22.7)
0.089
592 (95.6) 27 (4.4)
174 (94.0) 11 (6.0)
0.373
639 (95.1) 33 (4.9)
127 (96.2) 5 (3.4)
0.822
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444 (66.1) 228 (33.9%)
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Demographics Age, mean (SD), month Age at presentation Early (<3 months) Delayed (3-6 months) Late (>6 months) Gender Female Male Race Caucasian African American c Other Ethnicity Hispanic or Latino Not Hispanic or Latino Unidentified Distance to clinic, mean (SD), km JHHC Program No Yes DCI Score, mean (SD)d Clinical Characteristics Severity score, mean (SD) Ulceration or bleeding No Yes Number of IH lesion One More than one Type of IH lesion Non-segmental Segmental
Primary Payor Lower-SES (N = 185)
Age at IH Presentation Membership in JHHC Payor Program b b P value Non-JHHC JHHC P value (N = 672) (N = 132)
RI PT
Higher-SES (N = 619)
a
TE D
Characteristic
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424 425 426
<0.001 0.005
<0.001
<0.001 0.188
<0.001 <0.001
Abbreviations: IH = infantile hemangioma; SES = socioeconomic status; JHHC = Johns Hopkins HealthCare LLC; DCI = distressed community index; MA/CHIP = medical assistance/Children’s Health Insurance Program; SD = standard deviation a Lower SES includes insurance through the Maryland MA/CHIP program; Higher SES includes commercial non-MA/CHIP and self-pay insurances b Statistically significant P-values based upon t tests with unequal variances or Chi squared tests for continuous and categorical variables, respectively, in bold c Other includes Asian (n = 30), American Indian or Alaska Native (n = 1), Native Hawaiian or Pacific Islander (n = 1), two or more races (n = 28), and unidentified (n = 95) d DCI score is an estimated measure of economic distress and prosperity for each zip-code based on seven indicators: education, housing, unemployment, poverty rate, income, change in employment, and change in business establishments. Higher scores correspond to higher levels of distress
ACCEPTED MANUSCRIPT 23 Table III. Univariate and Multivariable Generalized Ordered Logistic Regression Analysis Evaluating the Association of Demographic and Clinical Characteristics with Age at First Infantile Hemangioma Presentation
REF 0.98 (0.74-1.30)
REF 1.19 (0.74-1.90)
REF 1.05 (0.62-1.77)
REF 1.30 (0.71-2.37) 1.00 (0.66-1.53) 1.00 (0.96-1.04) REF 1.67 (1.12-2.48) REF 1.41 (1.00-1.98) 0.99 (0.94-1.04) 0.90 (0.88-0.93)
0.60 (0.34-1.06)
1.09 (0.77-1.52)
REF 0.36 (0.19-0.66)
REF 0.81 (0.50-1.31) 1.02 (0.66-1.58) 1.00 (0.96-1.04)
REF 2.11 (1.31-3.38)
1.22 (0.81-1.85)
REF 1.37 (0.92-2.02) 0.95 (0.90-1.01)
0.90 (0.87-0.93)
REF 0.74 (0.52-1.0)
REF 1.07 (0.76-1.51)
SC
REF 1.00 (0.77-1.31)
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Demographics Gender Female Male Race Other African American Ethnicity Non-Hispanic Hispanic Undefined Distance to clinic (10km) Payor Higher SES Lower SES JHHC program No Yes DCI Score Clinical Characteristics Severity score Ulceration or bleeding No Yes Number of IH lesion One More than one Type of IH lesion Non-segmental Segmental
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Predictors
Adjusted OR (95% CI) Early vs. Early/Delayed Delayed/Late vs. Late
RI PT
Unadjusted OR (95% CI) Early vs. Early/Delayed Delayed/Late vs. Late
TE D
427 428 429
0.73 (0.53-1.01)
REF 0.92 (0.63-1.34) REF 1.09 (0.76-1.55)
0.72 (0.52-1.00)
REF 0.59 (0.30-1.16)
430
AC C
Abbreviations: IH = infantile hemangioma; SES = socioeconomic status; JHHC = Johns Hopkins HealthCare LLC; DCI = distressed community index; SD = standard deviation; OR = odds ratio; CI = confidence interval; REF = reference value Note: proportional odds assumption was violated for payor status, and number of IH lesions in both unadjusted and adjusted regressions and Hispanic ethnicity in unadjusted analyses
ACCEPTED MANUSCRIPT 24 Table IV. Subgroup Analysis (Non- Johns Hopkins HealthCare LLC vs. Johns Hopkins HealthCare LLC Payors) – Multivariable Generalized Ordered Logistic Regression Analysis of Demographic Predictors for Age at First Infantile Hemangioma Presentation, Adjusted for Clinical Characteristic Confounders
REF 1.37 (0.67-2.84)
REF 1.11 (0.60-2.04)
REF 1.14 (0.38-3.44)
REF 2.37 (1.33-4.22) 0.94 (0.88-1.01) 0.89 (0.86-0.93) REF 1.01 (0.66-1.54)
REF 1.15 (0.47-2.80) 0.86 (0.19-3.92) 1.00 (0.92-1.08)
M AN U
REF 0.69 (0.38-1.25) 1.01 (0.64-1.61) 1.00 (0.96-1.05)
SC
REF 0.91 (0.67-1.23)
REF 1.05 (0.72-1.53) REF 0.68 (0.33-1.37)
EP
Demographics Gender Female Male Race Other African American Ethnicity Non-Hispanic Hispanic Undefined Distance to clinic (10km) Payor Higher SES Lower SES DCI Score Clinical Characteristics Severity score Ulceration or bleeding No Yes Number of IH lesion One More than one Type of IH lesion Non-segmental Segmental
JHHC Adjusted OR (95% CI) Early vs. Early/Delayed vs. Delayed/Late Late
RI PT
Non-JHHC Adjusted OR (95% CI) Early vs. Early/Delayed vs. Delayed/Late Late
Predictors
1.15 (0.70-1.90)
REF 1.34 (0.61-2.95) 0.97 (0.85-1.10) 0.95 (0.87-1.04)
TE D
431 432 433 434
0.69 (0.49-0.99)
REF 0.68 (0.30-1.52) REF 1.00 (0.44-2.25) REF 0.12 (0.01-1.55)
435
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Abbreviations: IH = infantile hemangioma; SES = socioeconomic status; JHHC = Johns Hopkins HealthCare LLC; DCI = distressed community index; SD = standard deviation; OR = odds ratio; CI = confidence interval; REF = reference value Note: proportional odds assumption was violated for payor status and number of IH lesions in regression analyses of NonJHHC payors; no proportional odds assumption was violated in regression analyses of JHHC payors
ACCEPTED MANUSCRIPT 25 Table V. Subgroup Analysis (Higher Socioeconomic Status vs. Lower Socioeconomic Status Payor) – Multivariable Generalized Ordered Logistic Regression Analysis of Demographic Predictors for Age at First Infantile Hemangioma Presentation, Adjusted for Clinical Characteristic Confounders
REF 0.77 (0.42-1.41)
REF 1.08 (0.50-2.37)
REF 1.13 (0.51-2.51)
REF 1.30 (0.75-2.26) 0.96 (0.89-1.03) 0.90 (0.87-0.94) REF 0.83 (0.53-1.29)
REF 0.76 (0.36-1.61) 1.16 (0.35-3.78) 1.03 (0.97-1.10)
M AN U
REF 0.77 (0.39-1.52) 1.02 (0.63-1.64) 0.98 (0.93-1.04)
SC
REF 1.04 (0.76-1.43)
REF 1.05 (0.71-1.56) REF 0.66 (0.36-1.63)
EP
Demographics Gender Female Male Race Other African American Ethnicity Non-Hispanic Hispanic Undefined Distance to clinic (10km) JHHC Program No Yes DCI Score Clinical Characteristics Severity score Ulceration or bleeding No Yes Number of IH lesion One More than one Type of IH lesion Non-segmental Segmental
Lower-SES Adjusted OR (95% CI) Early vs. Early/Delayed vs. Delayed/Late Late
RI PT
Higher-SES Adjusted OR (95% CI) Early vs. Early/Delayed vs. Delayed/Late Late
Predictors
TE D
436 437 438 439
0.66 (0.46-0.96)
REF 1.43 (0.78-2.61) 1.06 (0.91-1.24)
0.85 (0.75-0.97)
0.96 (0.89-1.05)
0.85 (0.78-0.93)
REF 1.39 (0.66-2.94) REF 1.09 (0.5-2.16)
REF 0.06 (0.01-0.34)
0.91 (0.15-5.36)
440
AC C
Abbreviations: IH = infantile hemangioma; SES = socioeconomic status; JHHC = Johns Hopkins HealthCare LLC; DCI = distressed community index; SD = standard deviation; OR = odds ratio; CI = confidence interval; REF = reference value Note: proportional odds assumption was violated for number of IH lesions in regression analyses of higher SES children; proportional odds assumption was violated for DCI score, severity score, and type of IH lesion for lower SES children
ACCEPTED MANUSCRIPT
CAPSULE SUMMARY
•
What is already known on this topic: Children with Medicaid face greater barriers of
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access-to-care. Delayed management of complicated infantile hemangiomas compromises outcomes. •
What this article adds to our knowledge. Lower socioeconomic status is associated with
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delayed care for infantile hemangioma, but not among children with institutional caremanagement services.
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How this information impacts clinical practice and/or changes patient care. Institutionfacilitated managed-care programs may moderate socioeconomic disparities in accessing
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timely specialty care and improve outcomes.
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•