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

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

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...

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Bibliographic Details
Main Authors: Caroline Sanders, Papreen Nahar, Nicola Small, Damian Hodgson, Bie Nio Ong, Azad Dehghan, Charlotte A Sharp, William G Dixon, Shôn Lewis, Evangelos Kontopantelis, Gavin Daker-White, Peter Bower, Linda Davies, Humayun Kayesh, Rebecca Spencer, Aneela McAvoy, Ruth Boaden, Karina Lovell, John Ainsworth, Magdalena Nowakowska, Andrew Shepherd, Patrick Cahoon, Richard Hopkins, Dawn Allen, Annmarie Lewis, Goran Nenadic
Format: Article
Language:English
Published: NIHR Journals Library 2020-06-01
Series:Health Services and Delivery Research
Subjects:
patient experience
patient experience data
patient feedback
digital health
digital participation
text mining
co-design
quality improvement
mental health services
rheumatology
mixed methods
Online Access:https://doi.org/10.3310/hsdr08280

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