| Literature DB >> 34881145 |
Allison C Hu1, Brian N Dang1, Anthony A Bertrand1, Nirbhay S Jain1, Candace H Chan1, Justine C Lee1,2.
Abstract
Despite improved insurance coverage for gender confirmation surgeries in the United States, coverage for facial feminization surgery (FFS) continues to be difficult. Here, we describe our institutional experience on navigation, time, and costs of the FFS insurance authorization process.Entities:
Year: 2021 PMID: 34881145 PMCID: PMC8647877 DOI: 10.1097/GOX.0000000000003572
Source DB: PubMed Journal: Plast Reconstr Surg Glob Open ISSN: 2169-7574
Fig. 1.Insurance authorization process for FFS.The insurance authorization process for FFS begins with submission of two letters of support from a mental health provider and primary care physician following surgical consult. Subsequently, the process typically follows one of three paths: Group A (standard approval), Group B (extended approval), and Group C (denial). Group A is similar to other medically necessary reconstructive procedures where authorization is requested and procedures are authorized. Plans that fall into this group include Medi-Cal, Medicare, and some private insurance plans. Group B, consisting only of private insurance plans, are processes that initially resulted in denial, thereby requiring multi-level appeals. Such multi-level appeals begin with a surgeon-initiated appeal, which is then also denied. Subsequently, in California-insured plans, an IMR is then requested from the California Department of Managed Healthcare (CA DMHC). Due to the gender non-discrimination laws of the state, the denial is typically overturned and the procedures are authorized. Unlike California-insured plans, job-based plans which are self-insured, also called Employee Retirement Income Security Act (ERISA)-plans, a second-level, patient-initiated appeal is typically required. Upon denial, an IMR is requested directly from the insurance plan. Unlike California plans, self-insured plans are not under the CA DMHC and, thus, the final outcome is more variable. Some will result in eventual approval (Group B) and others will result in eventual denial (Group C). Patients who are definitively denied (Group C) may then exit their employer-based plan and switch to a plan under California jurisdiction on the health insurance exchange.
Insurance Information of FFS Patients
| Total (n = 40) | |
|---|---|
| Age, y (Mean ± SE) | 35.6 ± 2.2 |
| Insurance type, n (%) | |
| PPO (private) | 20 (50.0) |
| HMO (private) | 3 (7.5) |
| Medi-Cal/Medicaid | 13 (32.5) |
| Medicare | 4 (10.0) |
| Insurance groups, n (%) | |
| Group A | 26 (65.0) |
| Group B | 10 (25.0) |
| Group C | 4 (10.0) |
Procedures Requested for Facial Feminization Surgery
| Procedures | Total (n = 40),n (%) |
|---|---|
| Brow lift | 40 (100.0) |
| Forehead (frontal bone recontouring, recontouring of superior orbital rim, hairline lowering) | 38 (95.0) |
| Fat graft | 37 (92.5) |
| Rhinoplasty with osteotomies | 36 (90.0) |
| Two-piece osseous genioplasty | 33 (82.5) |
| Reduction of mandibular angles | 29 (72.5) |
| Tracheal shave | 22 (55.0) |
| Upper lip lift | 22 (55.0) |
| Canthopexy | 2 (5.0) |
| Zygoma reduction | 1 (2.5) |
Fig. 2.Months required for definitive insurance authorization decisions for FFS. Average months spent from initial facial feminization consultation to final insurance authorization decision. Error bars denote standard error. *P < 0.001; **P = 0.003.
Fig. 3.Time and cost of the insurance approval process for FFS. Average time spent from administrator and surgeon in obtaining insurance approval for FFS (A). Estimated costs of obtaining insurance approval for FFS (B). Error bars denote standard error. *P < 0.001.
State Laws on Coverage for Transition-related CARE[12]
| Explicitly Covers (Year) | Explicitly Excludes (Year) | Does Not State or Uncertain |
|---|---|---|
| California (2013) | Alaska (2010) | Alabama |
| Colorado (2017) | Arizona (2004) | Arkansas |
| Connecticut (2015) | Georgia (1992) | Delaware |
| District of Columbia (2014) | Hawaii (1993) | Florida |
| Illinois (2019) | Iowa (1994, 2019) | Idaho |
| Maine (2019) | Missouri (2017) | Indiana |
| Maryland (2016) | Nebraska (1990) | Kansas |
| Massachusetts (2015) | Ohio (2015) | Kentucky |
| Michigan (2019) | Tennessee (2006) | Louisiana |
| Minnesota (2017) | Texas (2019) | Mississippi |
| Montana (2017) | West Virginia (2005) | New Mexico |
| Nevada (2018) | Wyoming (1992) | North Carolina |
| New Hampshire* (2019) | North Dakota | |
| New Jersey (2017) | Oklahoma | |
| New York (2016) | South Carolina | |
| Oregon (2014) | South Dakota | |
| Pennsylvania (2016) | Utah | |
| Rhode Island (2015) | Virginia | |
| Vermont (2008) | ||
| Washington (2015) | ||
| Wisconsin* (2019) |
*Previously excluded.