Listening to and learning from patients: A review of the results from the 2023 national radiotherapy patient experience survey in England

The need for a biennial National Radiotherapy Patient Experience Survey is required. This needs to be available in a range of alternative formats to ensure all voices can be heard.

Authors

Institutions

Publication Details

Journal
Radiography
Published
2026-01-08
DOI
https://doi.org/10.1016/j.radi.2025.103305
Primary Topic
Patient Satisfaction in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Listening to and learning from patients: A review of the results from the 2023 national radiotherapy patient experience survey in England

Helen Wong, Helen White, Hilary Stewart, Michelle Bates et al.
Radiography
Patient Satisfaction in Healthcare
article

Listening to and learning from patients: A review of the results from the 2023 national radiotherapy patient experience survey in England

Helen Wong, Helen White, Hilary Stewart, Michelle Bates, L. McKie, K. Lowery, P. Booker, D. Hutton
article en

Abstract

The need for a biennial National Radiotherapy Patient Experience Survey is required. This needs to be available in a range of alternative formats to ensure all voices can be heard.

RadiographyVol. 32(2)
Birmingham City University (GB), Lancashire Teaching Hospitals NHS Foundation Trust (GB), Clatterbridge Cancer Centre NHS Foundation Trust (GB), NIHR Research Delivery Network (GB), Lancaster University (GB)
Quality Education
Openalex Percentile: Top 94%
Patient Satisfaction in Healthcare
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.