Driving quality improvement through better data: The story of New Zealand's radiation oncology collection.
Fiona ImlachAlexander DunnShaun CostelloJason Kevin GurneyDiana SarfatiPublished in: Journal of medical imaging and radiation oncology (2022)
Aotearoa/New Zealand is one of the first nations in the world to develop a comprehensive, high-quality collection of radiation therapy data (the Radiation Oncology Collection, ROC) that is able to report on treatment delivery by health region, patient demographics and service provider. This has been guided by radiation therapy leaders, who have been instrumental in overseeing the establishment of clear and robust data definitions, a centralised database and outputs delivered via an online tool. In this paper, we detail the development of the ROC, provide examples of variation in practice identified from the ROC and how these changed over time, then consider the ramifications of the ROC in the wider context of cancer care quality improvement. In addition to a review of relevant literature, primary data were sourced from the ROC on radiation therapy provided nationally in New Zealand between 2017 and 2020. The total intervention rate, number of fractions and doses are reported for select cancers by way of examples of national variation in practice. Results from the ROC have highlighted areas of treatment variation and have prompted increased uptake of hypofractionation for curative prostate and breast cancer treatment and for palliation of bone metastases. Future development of the ROC will increase its use for quality improvement and ultimately link to a real time cancer services database.
Keyphrases
- quality improvement
- radiation therapy
- healthcare
- patient safety
- primary care
- electronic health record
- mental health
- big data
- prostate cancer
- randomized controlled trial
- systematic review
- public health
- emergency department
- locally advanced
- adverse drug
- radiation induced
- squamous cell carcinoma
- replacement therapy
- health information
- risk assessment
- social media
- deep learning
- climate change
- smoking cessation
- health promotion