Digital methods to enhance the usefulness of patient experience data in services for long-term conditions: the DEPEND mixed-methods study

• Main Authors: Caroline Sanders (Author), Papreen Nahar (Author), Nicola Small (Author), Damian Hodgson (Author), Bie Nio Ong (Author), Azad Dehghan (Author), Charlotte A Sharp (Author), William G Dixon (Author), Shôn Lewis (Author), Evangelos Kontopantelis (Author), Gavin Daker-White (Author), Peter Bower (Author), Linda Davies (Author), Humayun Kayesh (Author), Rebecca Spencer (Author), Aneela McAvoy (Author), Ruth Boaden (Author), Karina Lovell (Author), John Ainsworth (Author), Magdalena Nowakowska (Author), Andrew Shepherd (Author), Patrick Cahoon (Author), Richard Hopkins (Author), Dawn Allen (Author), Annmarie Lewis (Author), Goran Nenadic (Author)
• Format: Book
• Published: National Institute for Health Research, 2020-06-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Background: Collecting NHS patient experience data is critical to ensure the delivery of high-quality services. Data are obtained from multiple sources, including service-specific surveys and widely used generic surveys. There are concerns about the timeliness of feedback, that some groups of patien...