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Role of PROMs free text comments in survival

  • Research type

    Research Study

  • Full title

    The Role of Patient-Reported Outcome Measure Free-Text Comments in the Prediction of Late Cancer Outcomes



  • Contact name

    Amy Downing

  • Contact email

  • Sponsor organisation

    University of Leeds

  • Duration of Study in the UK

    3 years, 0 months, 30 days

  • Research summary

    The proportion of people who survive 10 years or more following a cancer diagnosis has increased from 24% to 50% in the UK over the last forty years. Understanding quality of life after cancer is important. The information collected in the free text comments (FTC) of Patient-Reported Outcome Measures (PROMs) can provide rich detail about patients' quality of survival, outcomes and unmet needs, including previously unknown concerns. Features extracted from FTC may improve the prediction of outcomes, such as longer-term mortality. However, analysing FTC data at scale is very difficult and time-consuming.

    As part of a larger PhD study, this study explores the added value of FTC by looking at whether automated analysis of PROMs FTC data enhances the prediction of survival. In doing so, we can improve the understanding of the factors reported by patients that contribute to their quality of survival and the role of FTC in improving this understanding, with a view to better inform health care policy and service delivery to better meet the need of such people and their families.

    A classification model will be developed to predict death as a binary outcome using PROMs data previously collected from colorectal cancer and prostate cancer PROMs studies. The model will predict survival using PROMs closed questions data, FTC data and combined evaluate the impact of the FTC and so, its added value to prediction.

    New participants will not need to be recruited for this study. This study requires up to date survival data of the participants of the previous colorectal and prostate cancer PROMs studies. We intend for the data linkage to be carried out by the National Disease Registration Service, and for de-identified data to be made available for analysis.

  • REC name

    Yorkshire & The Humber - Leeds East Research Ethics Committee

  • REC reference


  • Date of REC Opinion

    10 Jun 2022

  • REC opinion

    Favourable Opinion