Literature DB >> 30219985

Agreement between medical records and self-reports: Implications for transgender health research.

Joseph Gerth1, Tracy Becerra-Culqui2, Andrew Bradlyn3, Darios Getahun2, Enid M Hunkeler4, Timothy L Lash1, Andrea Millman5, Rebecca Nash1, Virginia P Quinn2, Brandi Robinson3, Douglas Roblin6, Michael J Silverberg5, Vin Tangpricha7,8, Suma Vupputuri6, Michael Goodman9.   

Abstract

A key priority of transgender health research is the evaluation of long-term effects of gender affirmation treatment. Thus, accurate assessment of treatment receipt is critical. The data for this analysis came from an electronic medical records (EMR) based cohort of transgender individuals. A subset of cohort members were also asked to complete a self-administered survey. Information from the EMR was compared with survey responses to assess the extent of agreement regarding transmasculine (TM)/transfeminine (TF) status, hormone therapy receipt, and type of surgery performed. Logistic regression models were used to assess whether participant characteristics were associated with disagreement between data sources. Agreement between EMR and survey-derived information was high regarding TM/TF status (99%) and hormone therapy receipt (97%). Lower agreement was observed for chest reconstruction surgery (72%) and genital reconstruction surgery (84%). Using survey responses as the "gold standard", both chest and genital reconstruction surgeries had high specificity (95 and 93%, respectively), but the corresponding sensitivities were low (49 and 68%, respectively). A lower proportion of TM had concordant results for chest reconstruction surgery (64% versus 79% for TF) while genital reconstruction surgery concordance was lower among TF (79% versus 89% for TM). For both surgery types, agreement was highest among the youngest participants. Our findings offer assurance that EMR-based data appropriately classify cohort participants with respect to their TM/TF status or hormone therapy receipt. However, current EMR data may not capture the complete history of gender affirmation surgeries. This information is useful in future studies of outcomes related to gender affirming therapy.

Entities:  

Keywords:  Concordance; Gender affirmation; Medical records; Transgender

Mesh:

Year:  2018        PMID: 30219985      PMCID: PMC6438197          DOI: 10.1007/s11154-018-9461-4

Source DB:  PubMed          Journal:  Rev Endocr Metab Disord        ISSN: 1389-9155            Impact factor:   6.514


  17 in total

1.  A novel method for estimating transgender status using electronic medical records.

Authors:  Douglas Roblin; Joshua Barzilay; Dennis Tolsma; Brandi Robinson; Laura Schild; Lee Cromwell; Hayley Braun; Rebecca Nash; Joseph Gerth; Enid Hunkeler; Virginia P Quinn; Vin Tangpricha; Michael Goodman
Journal:  Ann Epidemiol       Date:  2016-02-04       Impact factor: 3.797

2.  Electronic health records and transgender patients--practical recommendations for the collection of gender identity data.

Authors:  Madeline B Deutsch; David Buchholz
Journal:  J Gen Intern Med       Date:  2015-01-06       Impact factor: 5.128

Review 3.  Global health burden and needs of transgender populations: a review.

Authors:  Sari L Reisner; Tonia Poteat; JoAnne Keatley; Mauro Cabral; Tampose Mothopeng; Emilia Dunham; Claire E Holland; Ryan Max; Stefan D Baral
Journal:  Lancet       Date:  2016-06-17       Impact factor: 79.321

4.  Female-to-male transgender chest reconstruction: a large consecutive, single-surgeon experience.

Authors:  M G Berry; Richard Curtis; Dai Davies
Journal:  J Plast Reconstr Aesthet Surg       Date:  2011-12-19       Impact factor: 2.740

5.  Management of transgenderism.

Authors:  Norman P Spack
Journal:  JAMA       Date:  2013-02-06       Impact factor: 56.272

Review 6.  Sex reassignment surgery for transsexuals.

Authors:  Peter Wroblewski; Jonas Gustafsson; Gennaro Selvaggi
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2013-12       Impact factor: 3.243

Review 7.  Progress on the road to better medical care for transgender patients.

Authors:  Ivy H Gardner; Joshua D Safer
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2013-12       Impact factor: 3.243

Review 8.  Advancing methods for US transgender health research.

Authors:  Sari L Reisner; Madeline B Deutsch; Shalender Bhasin; Walter Bockting; George R Brown; Jamie Feldman; Rob Garofalo; Baudewijntje Kreukels; Asa Radix; Joshua D Safer; Vin Tangpricha; Guy TʼSjoen; Michael Goodman
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2016-04       Impact factor: 3.243

Review 9.  Priorities for transgender medical and healthcare research.

Authors:  Jamie Feldman; George R Brown; Madeline B Deutsch; Wylie Hembree; Walter Meyer; Heino F L Meyer-Bahlburg; Vin Tangpricha; Guy TʼSjoen; Joshua D Safer
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2016-04       Impact factor: 3.243

10.  Determinants of and Barriers to Hormonal and Surgical Treatment Receipt Among Transgender People.

Authors:  R Craig Sineath; Cory Woodyatt; Travis Sanchez; Shawn Giammattei; Theresa Gillespie; Enid Hunkeler; Ashli Owen-Smith; Virginia P Quinn; Douglas Roblin; Robert Stephenson; Patrick S Sullivan; Vin Tangpricha; Michael Goodman
Journal:  Transgend Health       Date:  2016-07-01
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  5 in total

1.  Gender dysphoria and transgender medicine in the year 2018.

Authors:  Christian A Koch; Vin Tangpricha
Journal:  Rev Endocr Metab Disord       Date:  2018-09       Impact factor: 6.514

2.  Emerging topics in transgender medicine.

Authors:  Vin Tangpricha
Journal:  Rev Endocr Metab Disord       Date:  2018-09       Impact factor: 6.514

3.  Development of a computable phenotype to identify a transgender sample for health research purposes: a feasibility study in a large linked provincial healthcare administrative cohort in British Columbia, Canada.

Authors:  Ashleigh J Rich; Tonia Poteat; Mieke Koehoorn; Jenny Li; Monica Ye; Paul Sereda; Travis Salway; Robert Hogg
Journal:  BMJ Open       Date:  2021-03-25       Impact factor: 2.692

4.  Longitudinal Changes in Hematologic Parameters Among Transgender People Receiving Hormone Therapy.

Authors:  Ana Antun; Qi Zhang; Shalender Bhasin; Andrew Bradlyn; W Dana Flanders; Darios Getahun; Timothy L Lash; Rebecca Nash; Douglas Roblin; Michael J Silverberg; Vin Tangpricha; Suma Vupputuri; Michael Goodman
Journal:  J Endocr Soc       Date:  2020-08-25

5.  Beyond Gender Identity Disorder Diagnoses Codes: An Examination of Additional Methods to Identify Transgender Individuals in Administrative Databases.

Authors:  Guneet K Jasuja; Alexander de Groot; Emily K Quinn; Omid Ameli; Jaclyn M W Hughto; Michael Dunbar; Madeline Deutsch; Carl G Streed; Michael K Paasche-Orlow; Hill L Wolfe; Adam J Rose
Journal:  Med Care       Date:  2020-10       Impact factor: 3.178

  5 in total

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