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Background: Delirium has conventionally been considered a disorder of consciousness. Alertness and arousal are used as surrogates in clinical practice but are insufficient for the purposes of a more dimensional assessment of consciousness. We present a process of development and validation of candidate measures of phenomenal consciousness that could be applied to the diagnosis of delirium., Methods: First, a narrative review of available instruments in the fields of phenomenal consciousness, including prereflective consciousness, the phenomenal-sensed experience and reflective thought, was undertaken. Eligibility of tools in the context of applicability to delirium was based upon objectivity in test interpretation and the requirement for tester administration. Second, where there was a gap in suitable cognitive tools, new items were derived using the silent generation technique. A process of face and construct validity using a diverse panel of experts was performed, and readability was evaluated., Results: 814 articles were screened from the literature review. Fourteen candidate tools were reported from the three domains of phenomenal consciousness. One of these met the eligibility criteria for a delirium assessment. Fifty-seven new tests of phenomenal consciousness were identified. After a process of item reduction, a total of 26 individual tests were identified. After content validity, 22 of the 26 items were retained. The scale average content validity index was 0.89. The agreement between raters was between 80% and 97%. 100% of responses for face validity were rated as positive. Flesch Reading Ease Score was 91.6 (very easy to read)., Conclusions: Candidate measures of phenomenal consciousness are described, and early validity studies are promising., (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: recognition of the multifactorial causes of delirium represents a clinical challenge., Objectives: to develop and show proof of principle of a diagnostic support tool (DST) for identification of causes of delirium., Methods: stage 1-development of the aetiology in delirium-diagnostic support tool (AiD-DST); stage 2-validation of the AiD-DST against reference standard diagnosis, based on clinical assessment from two independent consultant geriatricians., Results: a series of eight steps AiD-DST were formulated by an expert group to identify possible causes of delirium. Forty inpatients admitted to a general medical unit with a consultant physician/geriatrician diagnosis of delirium were recruited, consented and reviewed against the AiD-DST. Mean age was 85.1 (standard deviation 7.9) years and 26 (65%) of participants were female. Participants had multiple chronic co-morbidities [median Charlson Comorbidity Index 7; interquartile range (IQR 6-9)] and median number of medications was 8 (IQR 6-11.75). Median number of causes of delirium detected on AiD-DST was 3 (IQR 3-4) versus 5 (IQR 3-6) using the reference standard diagnosis, with sensitivity of 88.8% (95% confidence interval, 81.6-93.9%) and specificity of 71.8% (63-79.5%)., Conclusions: the aetiology in delirium DST shows promise in the identification of cause(s) in delirium., (© The Author(s) 2020. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.)