Time to face the music: Mental health measures are failing us

Robust and meaningful mental health measures are necessary to guide clinical care, research and policy; however, many commonly used measures are conceptually outdated, lack stakeholder input and are applied beyond their intended scope. In this paper, we identify five key limitations in current mental health measurement: conceptual drift, weak face validity and limited co-development, lack of fit across populations and contexts, the overextension of measures beyond their intended use and the overreliance on total scores. Using examples from widely used measures (e.g. K10 or its variants, Beck Depression Inventory, Hamilton Depression Rating Scale, Patient Health Questionnaire-9, Generalised Anxiety Disorder-7, Positive and Negative Syndrome Scale, Global Assessment of Functioning, SOFAS, World Health Organisation Disability Assessment Scale 2.0, Health of the Nation Outcome Scale), we demonstrate how these limitations compromise construct validity, reduce clinical utility, and distort estimates of prevalence, outcomes, and service effectiveness. We argue that reliance on 'legacy' measures, often driven by mandates for harmonisation and comparability, prioritises consistency over measurement quality. This results in measures that fail to capture contemporary, multidimensional and lived-experience-informed models of mental health. Consequences include reduced engagement, misclassification, poor treatment targeting, and weakened policy and service decisions. We provide recommendations for what to consider for measure development and selection. We conclude that improving mental health measurement requires co-designed, context-sensitive and fit-for-purpose tools that align with modern conceptualisations and diverse populations. Addressing these challenges is essential to strengthen the evidence base, improve clinical care and support effective mental health system reform.