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March 12th. “Explaining Cause in a Single Case Response to Patient-Reported Outcomes Data. Research Seminars in the Research Centre for Culture and Health. University of Turku. Online.14:00-16:00 EET (GMT+2) Scan the image opposite for more information and registration and create QR code.
ABSTRACT Patient -reported outcome measures (PROMs) now play a significant role in random control trials (RCTs), where the essential elements are randomization, outcome measures, and blinding. However, RCT’s and other sample -based studies have limitations in so much that the derived PROM scores providing causal claims, are not about the individual. In this presentation, I first, provide a brief background to the proposal, which is to explain cause in a single case response to PROM’s. Second, I outline the different forms of explanation that leads to an understanding of the phenomenon under study. Third, I set out a category scheme for the types of qualitative evidence that is needed required to support the explanation of the PROM’s quantified score as a single case. Fourth, I provide a brief overview of the nature of the data needed required to support the understanding of PROM data as a single case. Fifth, I conclude with how can we secure with a reasonable degree of certainty that the qualitative evidence explains in a single case cause to the response to a PROM? Bringing the patient's perspective forward in drug development and healthcare evaluation. CauseHealth Blog 2024 See my latest posting on the CauseHealth Blog - For many years psychologists and other social scientists have been pushing for the individual patient’s perspective– priorities, needs, feelings and functioning – to be incorporated into drug development. This is usually achieved through the use of patient-reported outcome measures (PROMs) in clinical trials. The development and use of PROMs situates them at the vertex of two very different trends in medicine: patient-centred care and standardization. Indeed the application of PROMs – which pull in the direction of standardization – results in a narrow conception of evidence by overriding the subjectivity of individual experiences, beliefs and judgments. Without additional context, PROM data cannot easily support individual patient-level care. When collected systematically and with an interpretive phenomenological approach, narrative data can contain valuable information about the patient experience that numerical ratings from PRO measures do not capture.Read more |