| Literature DB >> 32983769 |
Ariella R Tabaac1,2,3, Divya Jolly3,4, Elizabeth R Boskey3,4,5, Oren Ganor3,4,5.
Abstract
Gender diverse people are increasingly pursuing gender-affirming surgery, but little is known about their experiences on accessing care. As part of the baseline assessment for an ongoing longitudinal study, we examined the types of barriers and self-reported out-of-pocket costs associated with gender-affirming surgery most commonly endorsed by transmasculine chest (top) and genital (bottom) surgery patients at their initial surgical consultation.Entities:
Year: 2020 PMID: 32983769 PMCID: PMC7489736 DOI: 10.1097/GOX.0000000000003008
Source DB: PubMed Journal: Plast Reconstr Surg Glob Open ISSN: 2169-7574
Demographics of Patients from a Pediatric Gender Surgery Clinic in Boston, Mass. (April 2018–February 2020)
| Type of Surgery | |||
|---|---|---|---|
| Top Surgery (n = 116) | Bottom Surgery (n = 40) | ||
| Total | |||
| Sociodemographics | |||
| Age at first consult, y, mean (SD) | 19.3 (3.7) | 25.5 (4.7) | |
| Gender, n (%) | NA | ||
| Male | 47 (40.5) | 25 (62.5) | |
| Transgender male | 52 (44.8) | 14 (35.0) | |
| Nonbinary | 13 (11.2) | 1 (2.5) | |
| Genderqueer | 3 (2.6) | 0 (0.0) | |
| Other | 1 (0.9) | 0 (0.0) | |
| Sexual orientation, n (%) | — | ||
| Heterosexual | 21 (19.1) | 22 (56.4) | |
| Homosexual | 21 (19.1) | 4 (10.3) | |
| Bisexual | 24 (21.8) | 4 (10.3) | |
| Pansexual | 21 (19.1) | 5 (12.8) | |
| Queer | 11 (10.0) | 3 (7.7) | |
| Asexual | 4 (3.6) | 0 (0.0) | |
| Demisexual | 6 (5.5) | 1 (2.6) | |
| Other | 2 (1.8) | 0 (0.0) | |
| Race/ethnicity, n (%) | NA | ||
| Non-Hispanic White | 88 (75.9) | 29 (72.5) | |
| Non-Hispanic Black/African American | 6 (5.2) | 5 (12.5) | |
| Asian | 2 (1.7) | 0 (0.0) | |
| Non-Hispanic multiracial/multiethnic | 9 (7.8) | 3 (7.5) | |
| Hispanic or Latino/a/x Multiracial/Multiethnic | 9 (7.8) | 3 (7.5) | |
| Chose not to answer | 2 (1.7) | 0 (0.0) | |
| Barriers to gender-affirming surgical care | |||
| Total lifetime out-of-pocket costs for gender-affirming care, mean (SD), n = 118 | 844.5 (1091.2) | 5118.1 (3721.3) | |
| Total unique barriers to scheduling surgical consult, mean (SD), n = 140 | 3.08 (3.0) | 3.9 (3.1) | .16 |
P values were calculated using Pearson χ2 test for categorical variables and independent samples t tests for continuous variables. NA represents variables for which χ2 values could not be calculated due to prohibitively small cell counts. Boldface values indicate significance at P < 0.05.
Unless otherwise specified.
NA, not applicable.
Frequency and χ2 Analyses for Barriers to Accessing Gender-affirming Surgery and Out-of-pocket Costs by Type of Surgery (April 2018–February 2020)
| Type of Surgery | ||||
|---|---|---|---|---|
| Overall, n | Top Surgery, n (%) | Bottom Surgery, n (%) | ||
| Experienced delays, costs, or inconveniences accessing gender-affirming surgery | ||||
| Accessing qualified medical care | 83 | 62 | 21 | 0.34 |
| Yes | 25 (40.3) | 6 (28.6) | ||
| No | 37 (59.7) | 15 (71.4) | ||
| Accessing qualified mental health care | 83 | 60 | 23 | 0.83 |
| Yes | 25 (41.7) | 9 (39.1) | ||
| No | 35 (58.3) | 14 (60.9) | ||
| Accessing qualified surgical care | 81 | 57 | 24 | 0.34 |
| Yes | 22 (38.6) | 12 (50.0) | ||
| No | 35 (61.4) | 12 (50.0) | ||
| Employment or education issues | 74 | 50 | 24 | 0.82 |
| Yes | 18 (36.0) | 8 (33.3) | ||
| No | 32 (64.0) | 16 (66.7) | ||
| Insurance issues (no coverage/no coverage for transgender care) | 82 | 60 | 22 | 0.39 |
| Yes | 29 (48.3) | 13 (59.1) | ||
| No | 31 (51.7) | 9 (40.9) | ||
| Insurance issues (denials for gender-affirming care) | 65 | 48 | 17 | 0.55 |
| Yes | 18 (37.5) | 5 (29.4) | ||
| No | 30 (62.5) | 12 (70.6) | ||
| Readiness for surgery | 87 | 62 | 25 | |
| Yes | 22 (35.5) | 15 (60.0) | ||
| No | 40 (64.5) | 10 (40.0) | ||
| Cost of surgery | 87 | 62 | 25 | 0.44 |
| Yes | 29 (46.8) | 14 (56.0) | ||
| No | 33 (53.2) | 11 (44.0) | ||
| Age | 94 | 73 | 21 | 0.22 |
| Yes | 39 (53.4) | 8 (38.1) | ||
| No | 34 (46.6) | 13 (61.9) | ||
| Afraid of surgery | 78 | 62 | 16 | 0.26 |
| Yes | 18 (29.0) | 7 (43.8) | ||
| No | 44 (71.0) | 9 (56.3) | ||
| Getting one or more mental health letters | 84 | 61 | 23 | 0.11 |
| Yes | 28 (45.9) | 15 (65.2) | ||
| No | 33 (54.1) | 8 (34.8) | ||
| Other issues with medical/mental health providers | 53 | 42 | 11 | 0.47 |
| Yes | 14 (33.3) | 2 (18.2) | ||
| No | 28 (66.7) | 9 (81.8) | ||
| Other issues, outside the medical system | 69 | 56 | 13 | 0.35 |
| Yes | 22 (39.3) | 3 (23.1) | ||
| No | 34 (60.7) | 10 (76.9) | ||
| Access to/cost of hair removal | 46 | 25 | 21 | |
| Yes | 2 (8.0) | 10 (47. 6) | ||
| No | 23 (92.0) | 11 (52.4) | ||
| Weight | 63 | 48 | 15 | 0.53 |
| Yes | 15 (31.3) | 6 (40.0) | ||
| No | 33 (68.8) | 9 (60.0) | ||
| Access to fertility treatment/preservation | 2 | 2 | 0 (0.0) | NA |
| Yes | 0 | 0 (0.0) | ||
| No | 2 | 0 (0.0) | ||
| Type of out-of-pocket cost | ||||
| Mental health assessment | 156 | 116 | 40 | 0.06 |
| Yes | 21 (18.1) | 13 (32.5) | ||
| No | 95 (81.9) | 27 (67.5) | ||
| Hormone treatment | 156 | 116 | 40 | |
| Yes | 33 (28.4) | 20 (50.0) | ||
| No | 83 (71.6) | 20 (50.0) | ||
| Hair removal | 156 | 116 | 40 | |
| Yes | 1 (0.9) | 15 (37.5) | ||
| No | 115 (99.1) | 25 (62.5) | ||
| Surgical consult | 156 | 116 | 40 | |
| Yes | 9 (7.8) | 11 (27.5) | ||
| No | 107 (92.2) | 29 (72.5) | ||
| Surgery | 156 | 116 | 40 | |
| Yes | 4 (3.4) | 13 (32.5) | ||
| No | 112 (96.6) | 27 (67.5) | ||
Boldface values are significant at P < 0.05. For the barriers scale, participants were asked “Which, if any, of the following factors affected your ability to schedule a consultation for gender-affirming surgery?” Each barrier item was coded as missing (“not applicable”), 0 (“experienced, did not affect surgery consultation”), or 1 (endorsed either “caused minor delay, cost, or inconvenience”; “caused major delay, cost, or inconvenience”; or “caused extreme delay, cost, or inconvenience”); categories were condensed due to many cells having inadequate counts for analysis among bottom surgery patients (eg, 0–1).
2 values not estimated due to inadequate sample size.
NA, not applicable.
Matrix of Pearson Product-moment and Point-biserial Correlations of Associations among Age at First Consultation, Lifetime Out-of-pocket Gender Affirmation Costs, and Total Experienced Barriers to Scheduling Surgical Consult Variables in a Sample of Patients from a Pediatric Gender Surgery Clinic in Boston, Mass. (April 2018–April 2020)
| Variable | Age at First Consult | Total OOP Costs | Barriers | OOP Mental Health Assessment | OOP Hormone Treatment | OOP Hair Removal | OOP Surgical Consult | OOP Surgery |
|---|---|---|---|---|---|---|---|---|
| Age at first consult | — | — | — | — | — | — | — | — |
| Total OOP costs | 0.40 | — | — | — | — | — | — | — |
| Total unique barriers to scheduling surgical consult | 0.25 | NS | — | — | — | — | — | — |
| OOP mental health assessment | NS | 0.29 | NS | — | — | — | — | — |
| OOP hormone treatment | 0.22 | 0.23 | NS | 0.21 | — | — | — | — |
| OOP hair removal | 0.25 | 0.59 | NS | NS | NS | — | — | — |
| OOP surgical consult | 0.23 | 0.37 | 0.21 | 0.31 | 0.25 | 0.19 | — | — |
| OOP surgery | 0.21 | 0.55 | NS | 0.26 | 0.27 | 0.29 | 0.67 | — |
NS indicates P > 0.05. Total unique barriers to scheduling surgical consult were calculated by summing the number of individual barrier items participants reported as causing a minor/major/extreme delay/cost/inconvenience (range, 0–15) among those who reported experiencing a barrier. Associations between continuous variables and type of OOP cost were estimated using Pearson point-biserial correlations; all other associations were assessed with Pearson product-moment correlations.
Correlation is significant at the 0.01 level.
Correlation is significant at the 0.05 level.
NS, not significant; OOP, out-of-pocket.