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Collecting Data About Gender Identity: Importance, Current Practices, and Exploring International Best Practices - Jody L. Herman, Ph.D. Scholar ...
Collecting Data About Gender Identity:
Importance, Current Practices, and
Exploring International Best Practices

   Jody L. Herman, Ph.D.
   Scholar of Public Policy
   Williams Ins
Collecting Data About Gender Identity: Importance, Current Practices, and Exploring International Best Practices - Jody L. Herman, Ph.D. Scholar ...
WHY COLLECT
GENDER IDENTITY DATA?

 • Demonstrate existence of gender minori1es
 • Learn about the size and characteris1cs of the
   gender minority popula1on
 • Increase visibility and des1gma1ze
 • Understand dispari1es of gender minority
   popula1ons compared to others (economic,
   health, social, etc.) and experiences of
   discrimina1on/s1gma
 • Inform the development of laws, policies, and
   programs that impact gender minority people
Collecting Data About Gender Identity: Importance, Current Practices, and Exploring International Best Practices - Jody L. Herman, Ph.D. Scholar ...
HOW TO COLLECT
GENDER IDENTITY DATA?

Gender Iden1ty in U.S. Surveillance (GenIUSS)
Mission: To increase and beHer understand popula1on-
  based data about transgender people through the
  inclusion of gender-related measures (i.e., sex assigned at
  birth, gender iden1ty, gender expression, transgender
  status) on popula1on-based surveys, with par1cular
  considera1on for publicly funded data collec1on efforts.

Ac1vi1es: GenIUSS will accomplish its mission by conduc1ng
  rigorous, scien1fic research on gender-related measures
  and making recommenda1ons regarding measurement
  research and data collec1on.
Collecting Data About Gender Identity: Importance, Current Practices, and Exploring International Best Practices - Jody L. Herman, Ph.D. Scholar ...
GenIUSS GROUP MEMBERS

• Steering CommiHee
   Kerith Conron      Gary Gates
   Scout              Jody Herman

• GenIUSS Group Members
   Bryn Aus1n         Mara Keisling
   M.V. Lee BadgeH    Emilia Lombardi
   Kellan E. Baker    Phoenix MaHhews
   Kylar Broadus      Sari Reisner
   David H. Chae      Diego M. Sanchez
   Paisley Currah     Kristen Schilt
   Masen Davis        Gunner ScoH
   Alison Gill        Ben Singer
   Emily Greytak      Susan Stryker
   JoAnne Keatley     Bali White
Collecting Data About Gender Identity: Importance, Current Practices, and Exploring International Best Practices - Jody L. Herman, Ph.D. Scholar ...
CONSIDERATIONS FOR GENDER
IDENTITY MEASURES ON
POPULATION-BASED SURVEYS

1) Correctly iden1fy people who are not
   gender minori1es as not being gender
   minority (e.g., iden1fy cisgender people as
   cisgender and not transgender)
2) Correctly iden1fy gender minority
   respondents as gender minori1es (e.g.
   iden1fy transgender people as transgender
   and not cisgender)
Collecting Data About Gender Identity: Importance, Current Practices, and Exploring International Best Practices - Jody L. Herman, Ph.D. Scholar ...
GenIUSS RECOMMENDED MEASURE
 (Two-step Measure)

1. What sex were you assigned at birth, on your original
   birth cer1ficate?
o Male
o Female
2. How do you describe yourself? (check one)
o Male
o Female
o Transgender
o Do not iden1fy as female, male, or transgender
    (Based on the work of Reisner SL, Conron KJ, Tardiff LA, Jarvi J, Aus1n SB, 2013; Lombardi E, Banik S, Mitchell K, Zuber J)
Collecting Data About Gender Identity: Importance, Current Practices, and Exploring International Best Practices - Jody L. Herman, Ph.D. Scholar ...
GenIUSS RECOMMENDED MEASURE
(Trans Status)

Some people describe themselves as transgender
when they experience a different gender iden1ty from
their sex at birth. For example, a person born into a
male body, but who feels female or lives as a woman.

Do you consider yourself to be transgender?
o Yes, transgender, male to female
o Yes, transgender, female to male
o Yes, transgender, gender non-conforming
o No
                     (Conron; MA BRFSS; Reisner SL, Conron KJ, Tardiff LA, Jarvi J, Aus1n SB, 2013)
Collecting Data About Gender Identity: Importance, Current Practices, and Exploring International Best Practices - Jody L. Herman, Ph.D. Scholar ...
EXPLORING INTERNATIONAL
PRIORITIES AND BEST PRACTICES FOR
GENDER IDENTITY DATA COLLECTION

June 17th, 2016 Data Collec1on Mee1ng
Amsterdam
• Develop a network of academics and other experts who
  study the collec1on of data about gender minori1es
• Determine the desirability and feasibility of developing a set
  of interna1onal best prac1ces for the collec1on of data
  about gender minori1es
• Consider what an interna1onal best prac1ces model might
  look like and determine what addi1onal considera1ons and
  steps are needed before beginning to develop these best
  prac1ces
Collecting Data About Gender Identity: Importance, Current Practices, and Exploring International Best Practices - Jody L. Herman, Ph.D. Scholar ...
EXPLORING INTERNATIONAL
PRIORITIES AND BEST PRACTICES FOR
GENDER IDENTITY DATA COLLECTION

• Steering CommiHee
    Greta Bauer                    JoAnne Keatley
    Walter Bock1ng                 Andrew Park
    Jamison Green                  Sari Reisner
    Jody Herman                    Sam Winter

• Mee1ng Par1cipants
    Lukas Berredo            Joz Motmans            Ayden Scheim
    Angelo Brandelli Costa   Timo Nieder            Alfonso Silva-San1steban
    Madeline Deutsch         N. Nicole Nussbaum     Amets Suess Schwend
    Rebecca Fox              Robert Oelrichs        Wim Vanden Berghe
    Jack Harrison-Quintana   Asa Radix              Jaime Veale
    Yuko Higashi             Bernard Reed           Joe Wong
    Marc Lachance            Elizabeth Saewyc
Collecting Data About Gender Identity: Importance, Current Practices, and Exploring International Best Practices - Jody L. Herman, Ph.D. Scholar ...
CURRENT DATA COLLECTION EFFORTS
(Official Government Activities)

• Asia and the Pacific                    • La1n America
  o   New Zealand                           o Uruguay
      § Sta1s1cs New Zealand                  § Trans Census (MSD)
  o   India & Nepal                         o Brazil
      § Third Gender                          § Admin Systems
• Europe                                 • North America
  o   EU Agency for
      Fundamental Rights                   o Canada
      §   LGBT Survey                         § Sta1s1cs Canada
  o   UK                                      § 2021 Census
      § NHS England
      § Equality & Human Rights
                                           o United States
        Commission                            § BRFSS & YRBS
  o   Netherlands                             § NCVS
      §   Ins1tute for Social Research        § State-level surveys (CHIS)
ARE INTERNATIONAL BEST
PRACTICES DESIRABLE? FEASIBLE?

Yes, they are desirable
• Provide guidance for data collec1on efforts
• Foster comparability across countries
• Hold governments accountable
Yes, they are feasible
• Involve affected communi1es
• Safety of gender minority communi1es
• Cross-cultural concerns
• Ins1tu1onal support
RECOMMENDATIONS

We recommend that governments and interna1onal
ins1tu1ons…
•Engage in and provide support for collec1on of data about
gender minori1es and data analysis
•Consider the inclusion and ac1ve par1cipa1on of gender
minority communi1es in the process of suppor1ng data
collec1on and analysis
•Consider the safety of gender minori1es when considering
and conduc1ng data collec1on and analysis
Best Prac*ces for Asking Ques*ons to Iden*fy
Transgender and Other Gender Minority Respondents
           on Popula*on-Based Surveys

Exploring Interna*onal Priori*es and Best Prac*ces for
    the Collec*on of Data about Gender Minori*es

               Available at: hHp://
         williamsins1tute.law.ucla.edu/
Issues in developing trans-inclusive sex/
                  gender measures

                                  Greta Bauer, PhD, MPH

                                Associate Professor and Graduate Chair
                                      Epidemiology & Biosta;s;cs
                                Schulich School of Medicine & Den;stry
                                          Western University
                                            London, Ontario

22 June 2017
Wiliams Institute Webinar:
Collecting Data About Gender Identity
Inclusion is urgently needed to remedy long-
                  standing erasure

                         All of this ;me that I’ve survived, I’m one of the
                        walking dead because we’re not counted; we’re not
                                      represented anywhere.

 And what’s the word? Erasure – which all of [us] are
  familiar with as a theore;cal and prac;cal term. I
    don’t think this is theore;cal; this is our lives.

Bauer, Hammond, Travers, et al. “I don’t think this is theore;cal;
this is our lives”: How erasure impacts health care for transgender
people. Journal of the Associa1on of Nurses in AIDS Care
2009;20(5): 348-361.
§   Survey of n=311
    who completed
    two surveys
§   Cogni;ve
    interviews with a
    maximum diversity
    sample of n=79
§   Canadian context:
    §   Sedler-colonial
    §   Mul;cultural
    §   ∼ 20% immigrant
    §   Mul;lingual
    §   Genera;onal
        language
        differences
Set A: Mul;dimensional Sex/Gender Measure

Are you … ?

o Male
o Female
o Something else, specify: ___________________

Do you consider yourself to be trans (transgender, transsexual, or a person
with a history of transiFoning sex)?

o Yes
o No
o Don’t know
Following ques;ons are for only those who answered “Yes” or “Don’t know”:

What was your assigned sex at birth?                            Have you undertaken any of the following to medically
                                                                transiFon sex? (Check all that apply)
o Male
o Female                                                        o Hormone therapy
o Undetermined                                                  o Hair removal (electrolysis or laser)
                                                                o Mastectomy or chest reconstruc;on (an opera;ng to
                                                                   remove breasts or construct a male chest)
                                                                o Breast augmenta;on (an opera;ng to make breasts larger
What is your felt gender?                                          using implants)
                                                                o Hysterectomy (an opera;on to remove the uterus)
o Male or primarily masculine                                   o Oophorectomy (an opera;on to remove the ovaries)
o Female or primarily feminine                                  o Metoidioplasty (an opera;on to free the clitoris)
o Both male and female                                          o Phalloplasty (an opera;on to construct a penis)
o Neither male nor female                                       o Orchiectomy (an opera;on to remove the tes;cles)
o Don’t know                                                    o Vaginoplasty (an opera;on to construct a vagina)
                                                                o None of the above

What gender do you currently live as in your day-to-day life?

o Male
o Female
o Some;mes male, some;mes female
o Third gender, or something other than male or female
Set B: Two-step method

What is your current gender idenFty?

o Male
o Female
o Trans male/Trans man
o Trans female/Trans woman
o Genderqueer/Gender non-conforming
o Different iden;ty (please specify): _______

What sex were you assigned at birth, meaning on your original birth
cerFficate?

o Male
o Female
Issues
§   Sensi;vity of ques;ons
§   Poten;al confusion for cisgender par;cipants
§   Number of ques;onnaire items required
§   Which dimensions of sex and gender are captured
§   Transness vs. trans iden;ty
§   Capturing the largest number of trans people
§   Gender non-conforming vs. non-binary vs. trans
§   Capturing cultural gender iden;;es
§   Self-report vs. proxy repor;ng
§   Translatability, ESL issues, stability of terminology
§   Move to administra;ve censuses
Missings

§ Two-step: 2 of 311 missing (0.6%)
   § 2 missing items
   § 1 addi;onal unclassifiable into detailed categories
      (“somewhere between GQ and trans male”)
§ Mul;dimensional: 1 of 311 missing (0.3%)

Lesson: No major red flags for problems with skipping.
No major confusion on sex/gender items
       from cisgender par;cipants

§ cisgender male: Uh, truthfully... I found it
  easy.
§ cisgender female: Um, well, I just kind of—
  I’ve never really felt like a guy, I guess.

Lesson: No red flags for cisgender confusion on any of the items.
9%
                                       21%
                                                                                  30%

                         60%              19%
                                                                                              61%

                          Transmasculine                                          Transfeminine

Bauer, Braimoh, Scheim, Dharma. Transgender-inclusive measures of sex/gender for popula;on surveys.
PLoS ONE 2017;12(5):e0178043.
[T]here seem to be more
                   ques;ons now that have gone
                     from a gender binary to a
                      gender trinary [laughs].

Lesson: While an “other” op;on provides some flexibility, trans
people will not be iden;fiable from this kind of “trinary”
classifica;on. Even with an addi;onal ques;on assessing “trans-
ness”, gender spectrum will not be iden;fiable.
ParFcipant:
                                                                               20-29 yrs
                                                                               White, Ontario
                                                                               Trans, man

     But for me like I don’t, I recognize that I have transi;oned but it’s not part of my
 iden;ty. So, I don’t really iden;fy as a trans person, if really push comes to shove, if I
  was in a doctor situa;on or whatever. But I generally do say like I’m a person with a
                                    history of like, a medical history whatever, more so.

Lesson: “Trans” must be defined to include those who do not
iden;fy with the label “trans”.
Comparing measures of gender iden;ty
                                                                                  MulFdimensional: Gender IdenFty

                                                            Missing       Cis       Cis        Trans        Non-         Trans   Non-
                                                                          Woman     Man        Man          binary       Woman   binary
                                                                                                            (AFAB)               (AMAB)
                                                  Missing             0       1           1            1             0       0            0
                                                  Cis                 1     193           0            0             0       0            0
                                                  Woman
                       Two-step: Gender IdenFty

                                                  Cis                 0       0           48           1             0       0            0
                                                  Man
                                                  Trans               0       0           0            15            1       0            0
Cohen’s Κ = 0.9081

                                                  Man
                                                  Non-                0       7           0            1         17          0            0
                                                  binary
                                                  (AFAB)
                                                  Trans               0       0           0            0             0      20            0
                                                  Woman
                                                  Non-                1       0           0            0             0       0            2
                                                  binary
                                                  (AMAB)

                     Lesson: For the dimension of gender iden;ty, these two
                     measures have near-perfect (chance-corrected) agreement.
Except … Cis woman or transmasculine?

§   None of the 7 considered themselves trans when directly
    asked, but identify as genderqueer or gender non-conforming
    in response to the two-step questions
§   Write-ins: “queer”, “female genderqueer questioning”

Lesson: A “genderqueer / gender non-conforming” op;on for
iden;ty in the two-step (version recommended for tes;ng by
GENIUSS) may be too broad and will capture cisgender women
who are somewhat gender non-conforming.
ParFcipant:
                                                                       20-29 yrs
                                                                       Mul;racial/mul;ethnic, Ontario
                                                                       Trans, genderqueer, female

                      Well, my family is [religious] so that, that made it difficult to go one
                       way or the other with it. … but I think that’s the reason why I s;ll, I
                            s;ll like, choose to iden;fy my sex as female. […] because my
                      family is [religious] it’s easier for me to, like my sex, to iden;fy it as
                            female because then it’s, because otherwise it’s problema;c.

Interviewer: Right. And so have you, have you told your
family? Does your family know that you’re genderqueer?

                                                                                          No, no.

Lesson: Poten;al issues with proxy repor;ng of gender iden;ty
by family or household members.
ParFcipant:
                                                               30-39 yrs
                                                               First Na;ons, Northern Ontario
                                                               DK if trans, genderqueer, AMAB

    I do iden;fy as Two-spirited, but some;mes that more gender fluid and gender —
  but having almost kind of like that balance of some;mes that I feel that I have—I’ll
          have a more of a masculine day and more—as compared to having more of a
   feminine day. … it fluctuates, and it’s not that—that I think that I’m transgendered
   at all. I think whereas some people, they misunderstand that Two-spiritedness can
 be—is considered to be something under the transgender spectrum, when really it’s
          something that’s more of a spectrum in itself that is inclusive of sexuality and
 gender iden;ty, gender diversi;es between gender and sexuality iden;;es, but very
    exclusive to First Na;ons and Indigenous people. So—and some;mes it’s a lot—a
                          lidle more complicated than just saying gender fluid [laughs].

Lesson: Tradi;onal iden;;es may be more “gender fluid” than
“trans”, and more complicated than “gender fluid”. Different
paradigm.
ParFcipant:                                                ParFcipant:
40-49 yrs                                                  40-49 yrs
White, Eastern Canada                                      White and Japanese, Western Canada
Not trans, genderqueer, AMAB                               Trans, genderqueer, AFAB

                     I actually am non-binary and for me being trans is a predy broad term,
                        which includes anyone whose—whose gender is different than their
                             assigned sex at birth. And that’s not everyone’s understanding.

So I iden;fy as genderqueer, which I think of as a separate thing from
issues of transgender. … And I understand that that’s not a hundred
percent [laughs] how other people see that dis;nc;on, but that is
basically how I have always understand that dis;nc;on.

Lesson: The only thing people agree on with non-binary vs. trans
is that people don’t agree on the rela;onship between the two.
Bauer. Making sure everyone counts: Considera;ons for inclusion, iden;fica;on, and analysis of
transgender and transsexual par;cipants in health surveys. In: The Gender, Sex and Health Research
Casebook. Vancouver: CIHR IGH, 2012: 59-67.
Recommend for further tes;ng/use in self-reported health surveys:
              Mul;dimensional Sex/Gender Measure

Bauer, Braimoh, Scheim, Dharma. Transgender-inclusive measures of sex/gender for popula;on surveys. Under review.
MSGM
§   No an;cipated confusion on the part of cisgender par;cipants
§   Avoids unnecessary op;ons for sex assigned at birth
§   Recognizes dis;nc;veness of Indigenous genders
§   Does not differen;ate between iden;;es as men or trans men (or
    women or trans women)
§   Simple wording, with language that may change over ;me or have
    meaning only to sub-groups kept to examples (also allows for
    different examples in different languages)
§   Can be reworded for interviewer administra;on to include
    response op;ons in the ques;on
§   Self-categoriza;on by par;cipants, acknowledging “best” op;on
    may not be their individual iden;ty
§   Separate open-ended item for entering iden;ty prevents
    unclassifiable entries (e.g. “just me”, “human”, “gay”, “trans male”
    when AMAB)
§   Not suitable for proxy-repor;ng in most cases
Addi;onal considera;on

§ Move to administra;ve censuses – how are
 sex/gender data captured in administra;ve
 records
Jessica Braimoh, PhD    Ayden Scheim, PhD (c) Christoffer Dharma, MSc

For consultaFon and feedback:                              For assistance:

•   Marcella Daye        •   Liz James                     •   Seju;e Alam
•   Suzanne Desjarlais   •   Marc Lachance                 •   Rachel Giblon
•   Eric Diode           •   Renee Masching
•   Fin Gareau           •   Nicole Nussbaum
•   Jody Herman          •   Caitlyn Paget
•   Randy Jackson        •   Jean-Pierre Seguin
THANK YOU!
Trans health project
discrimination and healthcare among
   Brazilian transgender population

      Angelo Brandelli Costa
Transgender in Brazil?
→ Travesti or transsexual (trans) men/women

▪   Assigned male
▪   Identifies as man, woman or travesti
▪   Affirms female gender
▪   Typically not undergoing genital modification
Trans-rights in Brazil

         Covers:
         • Hormone therapy
         • Medical gender affirmation procedures
Trans health project
▪ Cross-sectional study

▪ Community infomed survey

▪ Healthcare needs and access
  barriers
Instrument
             A          Demographics
             B     Parentality / Conjugality
             C   Healthcare needs and access
             D            Hormones
             E       Body modifications

             F           HIV and STIs

             G          Sexual health

             H   Prejudice and discrimination

             I             Housing
             J        Work and income
             K          Substance use

             L           Well-being
Gender identity assessment
1. At birth you were assigned as

( ) Male

( ) Female

2. Which of the following best describes your current gender identity?

( ) Woman

( ) Men

( ) Trans woman

( ) Trans man

( ) Travesti

( ) Other, _______________
Data collection
   Hospital-based   Facebook-based
Demographics

      Age                   26.4 (18–65) Mdn 24
      Racial/ethnic
            White                  70.3
            Non-white              29.7
      Education
            Some                    1.8
            Primary                10.4
            Secondary              62.1
            Tertiary               20.6
            Post-tertiary           5.1
Participants

                 47
  Sample
               @ 429
  710
Respondents      51
               @ 183
Gender assigned at birth

          Assigned male
              65%

         Assigned female
              35%
Gender identy
                Trans woman
                   25.5%

                  Woman
                  23.1%

                  Travesti
                   13.3%

                 Trans man
                    20%

                   Man
                   9.3%

                   Other
                   8.7%
Cross-coded gender identity
              Trans woman
                 42.2

Trans women     Woman
   61.9          37.4

                Travesti            Assigned Female
                 21.4                    63.5
                            Other
               Trans men     8.7    Assigned Male
                 68.3                    36.5
 Trans men
   29.3
                 Men
                 31.7
Participants

                 47
  Sample
               @ 429
  710
Respondents      51
   1361        @ 183
Exclusion criteria

Assigned male                x    Man

Assigned female              x   Woman

                     Other
Results - Mental health
       Depression   Low self-esteem                      Suicide ideation     Suicide attempt

                                58,8                                           60,4
                                                                                                 72.9% trans-related
Trans women
                       33,2                                           39,6

                                                                                                 Ideations 4x
                                     72,4                                         69,9
  Trans men
                              49,5                                     44,4
                                                                                                 Attempts 14.5x
                                                                                                 Botega, Marín-León, Oliveira,
                                            87,5                                 67,6            Barros, da Silva, &
     Queer
   Other                                                                                         Dalgalarrondo, 2009
                              51,6                                   37,8

                                                   0,0       25,0     50,0      75,0     100,0
Results - Trans-related violence
                             What?                                                         Where?
Physical intimidation and threats                            67                   Street                     79,4
              Verbal harassment                     41,3
             Sexual harassment
                                                                     Educational context              53,3
                                                    40,4
              Silent harassment             20,2                         House or family         35
               Physical violence            19,6
                  Sexual assault
                                                                                  Work         27,4
                                          12,1

                                                           Experienced?

                                    Yes                           86,8

                                                    Reported the police?

                                     Yes     10,2
Results - Impact of violence
75
         70,16

                                            60,3

50                   47,58
                                                                           44,4

                                                      36,9

25
                                                                                      20,4

0
     Physical or sexual assault      Verbal harrassement or threat     No harassament or assault
                                  Suicide ideation   Suicide attempt
Results - Mental healthcare
          Ever consulted                 Satisfaction
                                               67.7   Very Dissatisfied
                                                      Dissatisfied
 Trans                                                Neutral
                       54,9
women                                                 Satisfied
                                  32.3                Very Satisfied

                                               57.0

  Trans
                           58,5
  men
                                  43.0

                                               26.9

  Queer
Other               48,1

                                  73.1
Results - Healthcare avoidance
Avoided healthcare when needed?                           Discriminated
                                                    58,7              41,3

                           56,8
43,2

                                                   Never discriminated
                                                                     82,2
           Avoided                    62,0
                                                   17,8
           Never avoided

                                    Healthcare
                                  discrimination
Trans health project
discrimination and healthcare among
   Brazilian transgender population

        Angelo Brandelli Costa
        angelo.costa@pucrs.br
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