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Cross-sectional survey reveals low adoption of standardized depression assessment methods among mental health clinicians, highlighting a gap between research-backed tools and clinical practice.
Abstract Accurate psychological evaluation is crucial for early detection, intervention and evaluation of mental health disorders. The validity and reliability of psychological evaluation methods have been systematically researched for many decades. However, assessment methods used by mental health professionals in clinical settings have rarely been empirically documented. This study examines the extent to which empirically supported assessments are used in clinical settings and clinicians’ attitudes toward these practices. Clinicians ( N = 585) from the U.S. (25%), the U.K. (28%), the Netherlands (18%), Sweden (22%), and other countries (7%) completed an online survey reporting their depression assessment methods. Clinicians reported using many different data collection methods (e.g., unstructured clinical interviews [83%], rating scales [83%]) in various combinations. A majority (80%) primarily employed clinical methods, as opposed to statistical data combination methods (11%). Although they were confident in their assessments, the time to carry out assessments varied widely ( M = 87 [ SD = 108] minutes). Seventy-seven percent agreed on the importance of standardized, valid, and reliable assessments, and 43% reported interest in receiving AI decision-support. We did not find many significant cross-cultural differences. A majority of clinicians have not fully adopted standardized empirically supported assessment practices. Predominant reliance on clinical judgment suggests a disconnect between best practices supported by research and everyday clinical practice.
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Navandi et al. (2026) studied this question.
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