The NCPES award was launched at last week`s Cancer Services, Data and Outcomes conference. This national award will recognise excellence and best practice in using NCPES data to improve services. The first winners will be announced in 2019.
Over the coming months a group led by patient representatives and supported by Macmillan Cancer Support, NHS England and PHE will be working to shape the criteria for the award. If you are interested in helping to shape this award then please do get in touch by e-mailing: NCPESAward@macmillan.org.uk
There is a link to information on the use MY data website http://www.usemydata.org/cpes.shtml
Regarding the future of the survey, NHS England has advised that - The Your NHS Data Matters landing page now includes reference to the national patient experience surveys in the list of exemptionshttps://www.nhs.uk/your-nhs-data-matters/manage-your-choice/where-opt-outs-dont-apply/
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"This work uses data provided by patients and collected by the NHS as part of their care and support"
The patient data citation was conceived and developed by the patients and carers in the use MY data patient movement. It has been widely adopted by data and research organisations, and recommended for adoption by the major research funders in the UK.
use MY data is a movement of patients, carers and relatives
use MY data supports and promotes the protection of individual choice, freedom and privacy in the sharing of healthcare data to improve patient treatments and outcomes.
use MY data endeavours to highlight the many benefits that appropriate usage of healthcare data can make, to save lives and improve care for all.
use MY data aims to educate and harness the patient voice to understand aspirations and concerns around the use of data in healthcare delivery, in service improvement and in research, aimed at improving patient decision making, treatment and experience.
Our vision is of every patient willingly giving their data to help others, knowing that effective safeguards to maintain the confidentiality and anonymity of their data are applied consistently, transparently and rigorously.