Challenges for Psychological Test Adaptation in Transgender Healthcare

Abstract Psychological assessments play a crucial role in clinical diagnostics, and subsequent treatment, especially for transgender individuals reporting the highest rate of suicidal ideation. However, many standardized psychological tests have been developed and normed based on cisgender individuals, potentially limiting their validity for transgender individuals. This study explores the psychometric properties of three psychological questionnaires and evaluates the current state of adaptation for transgender patients. This study was conducted using psychometric data from three psychological questionnaires. The reported psychometric data including reliability, validity, and objectivity for three instruments the Beck Depression Inventory (BDI-II), the Trier Personality Inventory (TPI), and the Emotional Processing Scale (EPS) were analyzed and stratified by gender based on previous studies including transgender samples critically assessing for test adaptation methods, normative adjustments, and cultural validity. Across cisgender male and female samples, most instruments demonstrated strong internal consistency and construct validity. However, subtle differences in item endorsement patterns and factor structures emerged, particularly in domains related to emotional expression and somatic symptoms. Among transgender populations, only very few of studies used appropriately adapted or re-normed instruments. Psychometric reliability remained moderate, but content validity was often compromised due to binary gender assumptions embedded in the test design. While psychological tests perform reliably across cisgender populations, their use with transgender patients remains problematic without appropriate adaptation. To improve clinical equity, future test development must incorporate gender diversity from the outset, and existing tools should undergo rigorous reevaluation and standardization to ensure psychometric robustness across the gender spectrum. Key messages • Future test development must incorporate gender diversity from the outset to improve clinical equity. • Reevaluation and standardization to ensure psychometric robustness of existing tools across the gender spectrum.