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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Principais autores:	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
格式:	Artigo
語言:	Inglês
出版:	National Institute for Health Research 2020-06-01
叢編:	Health Services and Delivery Research
主題:	patient experience patient experience data patient feedback digital health digital participation text mining co-design quality improvement mental health services rheumatology mixed methods
在線閱讀:	https://doi.org/10.3310/hsdr08280
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