MULTIDOMAIN EVALUATION TO PREDICT RECURRENT NECK PAIN - Version 1.3

  • Research type

    Research Study

  • Full title

    Multidomain Evaluation and Data-Driven Approaches to Predict Recurrent Neck Pain (END-RNP)

  • IRAS ID

    360406

  • Contact name

    Deborah Falla

  • Contact email

    d.falla@bham.ac.uk

  • Sponsor organisation

    University of Birmingham

  • Clinicaltrials.gov Identifier

    Not Applicable, Not Applicable

  • Duration of Study in the UK

    1 years, 6 months, 31 days

  • Research summary

    Neck pain is a common health problem that affects millions of people worldwide. It can lead to repeated episodes of pain and have a major impact on daily life, work, and healthcare systems. However, we still don’t fully understand why some people keep getting neck pain or why it is more severe in some cases.

    The present study aims to improve this understanding. This is a project running from March 2025 to February 2028 led by the University of Birmingham. The project aims to recruit a total of 300 adults with recurrent neck pain (those who have had at least two episodes in the past year). This specific application seeks approval to recruit a maximum of 100 participants who have been previously discharged from NHS care.

    Participants with recurrent neck pain will attend a laboratory session when they are pain-free. Researchers will assess their neck movement, muscle strength, pain processing, and psychological well-being (including stress, anxiety, and fear of movement). If a participant experiences another neck pain episode during the study, these assessments will be repeated to see how the investigated variables change when pain returns.
    Participants will also complete online questionnaires every two weeks for 12 months, reporting their pain levels, daily impact, and lifestyle factors such as physical activity, work stress, and sleep.

    The study will use this information to develop two clinical prediction models, one to predict how many days someone will have neck pain in a year, and another to predict how severe those episodes might be.
    By identifying early warning signs and key risk factors, this research aims to help healthcare professionals provide more personalised care, improve prevention and treatment, and ultimately reduce the burden of neck pain for patients and society.

  • REC name

    Wales REC 6

  • REC reference

    26/WA/0181

  • Date of REC Opinion

    22 Jun 2026

  • REC opinion

    Favourable Opinion