The impact of personalisation on people from Chinese backgrounds: qualitative accounts of social care experience

Fiona Irvine, Echo Yeung, Martin Partridge, Peter Simcock

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
176 Downloads (Pure)


The limited research that considers people from black and minority ethnic communities experiences of personalisation tends to focus on personal budgets rather than personalisation per se. This article provides an opportunity to hear the voices of people from Chinese backgrounds and their experiences of personalisation. The study used individual semi-structured interviews and focus groups to collect data from physically disabled people from Chinese backgrounds who lived in England, were aged between 18 and 70, and received social care. Data were analysed using an iterative and thematic approach, with
early analysis informing the subsequent analytical rounds. The findings reveal that personalisation has the potential to transform the lives of people from Chinese backgrounds, especially when tailored support is available for people to understand and access personal budgets and put them to creative use. However, the impact of personalisation is barely evident because few eligible individuals access personal budgets or participate in coproduction. This is related to a lack of encouragement for service users to become genuine partners in understanding, designing, commissioning and accessing a diverse range of
social care services to meet their cultural and social care needs.
Original languageEnglish
Pages (from-to)878-887
Number of pages10
JournalHealth and Social Care in the Community
Issue number3
Early online date8 Aug 2016
Publication statusPublished - May 2017


  • Chinese
  • cultural competence
  • personalisation
  • physical disability
  • qualitative research
  • social care


Dive into the research topics of 'The impact of personalisation on people from Chinese backgrounds: qualitative accounts of social care experience'. Together they form a unique fingerprint.

Cite this