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Thursday, March 03, 2022

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Measuring the impact of patient involvement: improving study documents and machine learning methods - Dr Sagar Jilka
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Sagar Jilka

Dr Sagar Jilka is a Senior Research Fellow in the Mental Health & Wellbeing Unit in the Division of Health Sciences. He is currently working on the TRANSFORM Project. He was previously the patient and public involvement coordinator at the Maudsley Biomedical Research Centre at the Institute of Psychiatry, Psychology and Neuroscience (King’s College London), and prior to that worked as a football data scientist at a tech start up in London.

 

Measuring the impact of patient involvement: improving study documents and machine learning methods

Patient and public involvement can improve study outcomes, but little data have been collected on why this might be. I investigated the difference a local advisory group who review research documents make to the accessibility of documents (such as participant information sheets). I will discuss the results from this mixed methods study, highlight how we can measure impact, and the importance of PPI in research, particularly in domains which have not taken the views of service users such as machine learning studies.

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More information | Tags: HS_APC HS_SSSH HS_STATS HS_MHWB HealthSciences |

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