| Literature DB >> 35259758 |
Gareth J Treharne1, Rona Carroll2, Kyle K H Tan3, Jaimie F Veale3.
Abstract
BACKGROUND: Past research has established that transgender people experience significant disparities in mental health outcomes and healthcare dissatisfaction compared with cisgender people, but more research is needed on how supportive healthcare interactions relate to the mental health of transgender people.Entities:
Keywords: LGBTQ; bisexual; depression/mood disorder; doctor–patient relationship; gay; gender; lesbian; physician competency; primary care; transgender (GLBT) issues
Mesh:
Year: 2022 PMID: 35259758 PMCID: PMC9508874 DOI: 10.1093/fampra/cmac005
Source DB: PubMed Journal: Fam Pract ISSN: 0263-2136 Impact factor: 2.290
Demographic details of participants in the 2018 Counting Ourselves survey with a primary care doctor or GP (N = 948).
| Variable | Mean (SD) |
|---|---|
| Age | 30.20 (13.57) |
|
| |
| Gender groups | |
| Trans women | 276 (29.2) |
| Trans men | 273 (28.9) |
| Nonbinary AFAB | 306 (32.3) |
| Nonbinary AMAB | 91 (9.6) |
| Prioritized ethnicity groups | |
| New Zealand European/Pākehā and others | 761 (80.3) |
| Māori | 119 (12.6) |
| Pacific Islander | 32 (3.4) |
| Asian | 36 (3.8) |
| Regions | |
| Auckland | 286 (30.7) |
| Wellington | 262 (28.1) |
| Other North Island region | 163 (17.5) |
| South Island | 221 (23.8) |
| Income level in past 12 months | |
| Loss or zero income | 63 (7.9) |
| $1–15,000 | 284 (35.5) |
| $15,001–50,000 | 290 (36.2) |
| $50,001 or more | 164 (20.5) |
Gender groups were derived from a 2-step approach comparing self-defined gender and sex assigned at birth.[24] Two nonbinary participants did not report their sex assigned at birth. AFAB, assigned female at birth; AMAB, assigned male at birth.
New Zealand European/Pākehā and other ethnicities were combined as most others had specific European ethnicities.[25]
Participants who did not provide a postcode were excluded (n = 16).
Numbers here represent those participants who had not dropped out of the survey before providing income towards the end.
Responses to the Negative Healthcare Experiences Index ranked by frequency among participants in the Counting Ourselves survey with a primary care doctor or GP in 2018 (N = 948).
| Ranking | Negative Healthcare Experiences Index items | Overall | By gender | |||
|---|---|---|---|---|---|---|
| TW | TM | NB | NB | |||
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| 1 | You had to teach someone about trans or non-binary people so that you could get appropriate care | 446 (47.0) | 124 (44.9) | 175 (64.1) | 120 (39.2) | 25 (27.5) |
| 2 | You were asked unnecessary or invasive questions about being trans or non-binary that were not related to the reason for your visit | 352 (37.1) | 109 (39.5) | 135 (49.5) | 84 (27.5) | 22 (24.2) |
| 3 | You were told they don’t know enough about gender-affirming care to provide it | 262 (27.6) | 72 (26.1) | 110 (40.3) | 64 (20.9) | 14 (15.4) |
| 4 | A provider knowingly referred to you by the wrong gender, either in person or in a referral | 251 (26.5) | 63 (22.8) | 106(38.8) | 68 (22.2) | 13 (14.3) |
| 5 | A provider knowingly used an old name that you are no longer comfortable with | 198 (20.9) | 50 (18.1) | 83 (30.4) | 54 (17.6) | 10 (11.0) |
| 6 | A provider thought the gender listed on your ID or forms was a mistake | 185 (19.5) | 46 (16.7) | 84 (30.8) | 47 (15.4) | 7 (7.7) |
| 7 | A provider used hurtful or insulting language about trans or non-binary people | 173 (18.2) | 43 (15.6) | 71 (26.0) | 46 (15.0) | 11 (12.1) |
| 8 | You were discouraged from exploring your gender | 160 (16.9) | 39 (14.1) | 54 (19.8) | 55 (18.0) | 11(12.1) |
| 9 | You could not access an appropriate bathroom | 149 (15.7) | 21 (7.6) | 51 (18.7) | 67 (21.9) | 10 (11.0) |
| 10 | You were told that you were not really trans or non-binary | 138 (14.6) | 37 (13.4) | 47 (17.2) | 42 (13.7) | 11 (12.1) |
| 11 | A provider refused to discuss or address gender-affirming healthcare | 135 (14.2) | 39 (14.1) | 49 (17.9) | 38 (12.4) | 8 (8.8) |
| 12 | A provider belittled or ridiculed you for being trans or non-binary | 85 (9.0) | 26 (9.4) | 31 (11.4) | 25 (8.2) | 2 (2.2) |
| 13 | Refused to provide you with a referral for gender-affirming care | 85 (9.0) | 27 (9.8) | 36 (13.2) | 20 (6.5) | 2 (2.2) |
| 14 | You were refused care or had care ended because you are trans or non-binary | 82 (8.5) | 26 (9.4) | 34 (12.5) | 16 (5.2) | 4 (4.4) |
| 15 | A provider examined your body when you thought it was inappropriate or it was not clear why it was necessary | 57 (6.0) | 26 (9.4) | 16 (5.9) | 10 (3.3) | 4 (4.4) |
| 16 | You were placed in an incorrect hospital ward for your gender | 52 (5.5) | 15 (5.4) | 22 (8.1) | 13 (4.2) | 2 (2.2) |
| 17 | A provider was physically rough or abusive when treating you | 43 (4.5) | 12 (4.3) | 17 (6.2) | 10 (3.3) | 3 (3.3) |
| 18 | A provider refused to examine parts of your body because you are trans or non-binary | 18 (1.9) | 6 (2.2) | 6 (2.2) | 5 (1.6) | 0 |
| Mean (SD) | Mean (SD) | Mean (SD) | Mean (SD) | Mean (SD) | ||
| Number of items selected | 3.03 (3.57) | 2.83 (3.34) | 4.12 (3.83) | 2.56 (3.43) | 1.75 (2.81) | |
Two nonbinary participants did not report their sex assigned at birth. AFAB, assigned female at birth; AMAB, assigned male at birth; NB, nonbinary gender, TM, transgender men; TW, transgender women.
Responses to the Supportive Doctor Index among Counting Ourselves participants with a primary care doctor or GP in 2018 (N = 947; ranked by frequency).
| Ranking | Supportive Doctor Index items | Overall | By gender | |||
|---|---|---|---|---|---|---|
| TW | TM | NB | NB | |||
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| 1 | Treated you the same as any other patient when your needs were not directly related to gender-affirming care | 539 (56.9) | 197 (71.4) | 189 (69.2) | 116 (38.0) | 35(38.5) |
| 2 | Been supportive of your needs relating to gender-affirming care | 456 (48.2) | 193 (69.9) | 175 (64.1) | 64 (21.0) | 22 (24.2) |
| 3 | Always used your current name, with you and in referrals | 449 (47.4) | 175 (63.4) | 170 (62.3) | 84 (27.5) | 19 (20.9) |
| 4 | Shown they were willing to educate themselves on gender-affirming care, if necessary | 403 (42.6) | 155 (56.2) | 158 (57.9) | 70 (23.0) | 19 (20.9) |
| 5 | Always used your correct gender pronouns, with you and in referrals | 387 (40.9) | 160 (58.0) | 156 (57.1) | 52 (17.0) | 18(19.8) |
| 6 | Been able to clearly explain why any and all examinations were necessary | 344 (36.3) | 133 (48.2) | 136 (49.8) | 60 (19.7) | 14 (15.4) |
| 7 | Shown they knew a lot about gender-affirming care | 225 (23.8) | 91 (33.0) | 86 (31.5) | 38 (12.5) | 8 (8.8) |
| Mean (SD) | Mean(SD) | Mean (SD) | Mean (SD) | Mean (SD) | ||
| Number of items selected | 2.96 (2.62) | 4.00 (2.46) | 3.92 (2.57) | 1.59 (2.11) | 1.48 (2.00) | |
Two nonbinary participants did not report their sex assigned at birth. AFAB, assigned female at birth; AMAB, assigned male at birth; NB, nonbinary gender, TM, transgender men; TW, transgender women.
Bivariate linear regression of sociodemographic differences in level of supportive experiences with primary care doctors among participants in the 2018 Counting Ourselves survey with a primary care doctor or GP (N = 947).
| Variable |
| SE |
|
|---|---|---|---|
| Age groups | <0.001 | ||
| 14–19 | Reference | ||
| 20–24 | 0.73 | 0.25 | 0.004 |
| 25–34 | 0.70 | 0.24 | 0.003 |
| 35–44 | 0.78 | 0.31 | 0.012 |
| 45–54 | 1.12 | 0.35 | 0.002 |
| 55 and over | 1.82 | 0.35 | <0.001 |
| Gender groups | <0.001 | ||
| Trans women | Reference | ||
| Trans men | −0.08 | 0.20 | 0.687 |
| Nonbinary AFAB | −2.41 | 0.19 | <0.001 |
| Nonbinary AMAB | −2.52 | 0.28 | <0.001 |
| Prioritized ethnicity groups | 0.197 | ||
| New Zealand European and others | Reference | ||
| Māori | 0.17 | 0.26 | 0.519 |
| Pacific Islander | −0.77 | 0.47 | 0.104 |
| Asian | −0.54 | 0.45 | 0.225 |
| Regions | 0.017 | ||
| Auckland | Reference | ||
| Wellington | 0.60 | 0.22 | 0.008 |
| Other North Island region | 0.04 | 0.26 | 0.872 |
| South Island | −0.06 | 0.23 | 0.806 |
| Income level in last 12 months | 0.202 | ||
| Loss or zero income | Reference | ||
| $1–15,000 | 0.24 | 0.36 | 0.515 |
| $15,001–50,000 | 0.46 | 0.36 | 0.201 |
| $50,001 and more | 0.67 | 0.38 | 0.079 |
Regression models of associations of mental health outcomes with negative healthcare experiences and support from doctors among participants in the 2018 Counting Ourselves survey with a primary care doctor or GP (N = 783).
| Variable | K10 | NSSI | Suicidal ideation | Suicide attempt | ||||
|---|---|---|---|---|---|---|---|---|
| Bivariate | Multivariate | Bivariate | Multivariate | Bivariate | Multivariate | Bivariate | Multivariate | |
| Unadjusted | Adjusted | Unadjusted OR | Adjusted OR | Unadjusted OR | Adjusted OR | Unadjusted OR | Adjusted OR | |
| Age | −0.31 [−0.35 to −0.27] | −0.29 [−0.34 to −0.25] | 0.92 [0.91 to 0.94] | 0.93 [0.91 to 0.95] | 0.96 [0.95 to 0.97] | 0.97 [0.96 to 0.98] | 0.95 [0.93 to 0.97] | 0.97 [0.93 to 1.00] |
| Gender groups | ||||||||
| Trans women | Reference | Reference | Reference | Reference | Reference | Reference | Reference | Reference |
| Trans men | 3.76 [2.13 to 5.38] | −0.47 [−2.07 to 1.14] | 2.45 [1.73 to 3.48] | 1.16 [0.78 to 1.74] | 1.58 [1.13 to 2.19] | 0.93 [0.64 to 1.36] | 1.84 [1.06 to 3.14] | 1.13 [0.60 to 2.17] |
| Nonbinary AFAB | 4.72 [3.14 to 6.30] | 0.53 [−1.13 to 2.19] | 1.98 [1.40 to 2.78] | 0.98 [0.64 to 1.49] | 1.15 [0.84 to 1.58] | 0.79 [0.53 to 1.17] | 1.04 [0.59 to 1.86] | 0.56 [0.28 to 1.13] |
| Nonbinary AMAB | −0.71 [−3.06 to 1.65] | −1.56 [−3.84 to 0.73] | 0.90 [0.52 to 1.57] | 1.04 [0.54 to 1.96] | 0.56 [0.34 to 0.92] | 0.67 [0.38 to 1.16] | 0.49 [0.14 to 1.32] | 0.50 [0.11 to 1.65] |
| Regions | ||||||||
| Auckland | Reference | Reference | Reference | Reference | Reference | Reference | Reference | Reference |
| Wellington | −0.46 [−2.13 to 1.21] | −0.93 [−2.43 to 0.57] | 1.11 [0.78 to 1.58] | 1.04 [0.70 to 1.55] | 0.82 [0.59 to 1.14] | 0.72 [0.50 to 1.03] | 0.78 [0.44 to 1.41] | 0.94 [0.49 to 1.80] |
| Other North Island region | 1.58 [−0.35 to 3.51] | 1.26 [−0.45 to 2.97] | 1.36 [0.92 to 2.02] | 1.26 [0.82 to 1.95] | 0.92 [0.63 to 1.35] | 0.84 [0.56 to 1.26] | 0.80 [0.40 to 1.60] | 0.65 [0.29 to 1.38] |
| South Island | 2.39 [0.63 to 4.14] | 1.76 [0.19 to 3.34] | 1.67 [1.17 to 2.39] | 1.56 [1.04 to 2.32] | 1.20 [0.85 to 1.69] | 1.15 [0.79 to 1.66] | 1.30 [0.74 to 2.28] | 1.52 [0.81 to 2.88] |
| Income level | −3.93 [−4.62 to −3.25] | −1.85 [−2.59 to −1.10] | 0.49 [0.42 to 0.57] | 0.79 [0.65 to 0.96] | 0.60 [0.52 to 0.69] | 0.76 [0.64 to 0.91] | 0.47 [0.36 to 0.62] | 0.61 [0.44 to 0.85] |
| Negative Healthcare Experience Index | 0.54 [0.36 to 0.71] | 0.48 [0.32 to 0.65] | 1.08 [1.04 to 1.12] | 1.08 [1.04 to 1.13] | 1.11 [1.07 to 1.16] | 1.09 [1.05 to 1.14] | 1.18 [1.12 to 1.24] | 1.20 [1.13 to 1.27] |
| Supportive Doctor Index | −0.70 [−.94 to −0.46] | −0.50 [−0.74 to −0.24] | 0.93 [0.88 to 0.98] | 0.96 [0.90 to 1.02] | 0.97 [0.93 to 1.02] | 0.97 [0.91 to 1.03] | 0.95 [0.87 to 1.03] | 0.89 [0.80 to 0.99] |
Linear regressions were used for K10 (scale range = 0–40). Ordinal logistic regressions were used for NSSI (scale range = 0–4), suicidal ideation (scale range = 0–2), and suicide attempt (scale range = 0–2). Multivariate models included age (continuous), gender groups, regions, income (4 ordinal levels), and negative healthcare experience index (range = 0–18) or supportive doctor index (range = 0–7).
P < 0.05.
P < 0.001.