Qualitative study to inform the design and contents of a patient-reported symptom-based risk stratification system for patients referred from primary care on a suspected head and neck cancer diagnostic pathway

  • 0Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK.

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Summary

This summary is machine-generated.

Developing a patient-reported symptom system for head and neck cancer requires clear language and addressing patient emotional needs. Clinicians need validated risk scores for effective triage and patient reassurance.

Area Of Science

  • Oncology
  • Healthcare Informatics
  • Patient Experience

Background

  • Head and neck cancer diagnosis pathways require improvement.
  • Patient-reported outcomes are crucial for effective cancer care.
  • Current diagnostic processes may not fully capture patient experiences or symptom nuances.

Purpose Of The Study

  • To inform the development of a patient-reported symptom questionnaire for head and neck cancer.
  • To outline requirements for a patient-reported symptom-based risk stratification system.
  • To explore clinician and patient experiences within the head and neck cancer diagnostic pathway.

Main Methods

  • Qualitative study using clinic consultation observations and semi-structured interviews.
  • Rapid qualitative analysis approach for concurrent data collection and analysis.
  • Involved 156 adults referred for suspected head and neck cancer and 21 clinicians across three UK NHS Trusts.

Main Results

  • Identified key symptoms and language used by patients and clinicians.
  • Patients emphasized the need for in-person support, human decision-making, accessible reporting systems, and data security.
  • Clinicians highlighted the need for validated risk scores for trust and triage, and patient accessibility.

Conclusions

  • Patient-reported symptom systems must use understandable language and address emotional needs.
  • Validated risk stratification tools can support clinical decision-making in head and neck cancer diagnosis.
  • Understanding the impact of language in healthcare interactions is vital for patient-centered care.