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Research project

NIHR ARC Wessex

Project overview

NIHR Applied Research Collaboration (ARC) Wessex carries out research together with health and care partners across Wessex, and with the support of patients and the public. It aims to make life better and healthier for the people of Wessex and beyond. Follow this link for further information https://www.arc-wx.nihr.ac.uk/

Staff

Lead researcher

Professor Alison Richardson PhD, MSc, BN, PGDipEd, RN

Prof in Cancer Nursing/End of Life Care

Research outputs

‘I'll put up with things for a long time before I need to call anybody’: face work, the Total Institution and the perpetuation of care inequalities
Jo Hope,
Lisette Schoonhoven,
Peter Griffiths,
Lisa Gould,
& Jackie Bridges
, 2022 , Sociology of Health and Illness , 44 (2) , 469--487
DOI: 10.1111/1467-9566.13435
Type: article
Patient, clinician and manager experience of the accelerated implementation of virtual consultations following COVID‐19: a qualitative study of preferences in a tertiary orthopaedic rehabilitation setting
Anthony W. Gilbert,
Jeremy Jones,
Maria Stokes,
& Carl R. May
, 2022 , Health Expectations , 25 (2) , 775--790
DOI: 10.1111/hex.13425
Type: article
The new satisfaction with life and treatment scale (SLTS-7) in patients with Parkinson’s Disease
Anna Sauerbier,
Pia Bachon,
Leire Ambrosio,
Philipp A. Loehrer,
Alexandra Rizos,
Stefanie T. Jost,
Alexandra Gronostay,
Agni Konitsioti,
Michael T. Barbe,
Gereon R. Fink,
Keyoumars Ashkan,
Christopher Nimsky,
Veerle Visser-vandewalle,
K. Ray Chaudhuri,
Lars Timmermann,
Pablo Martinez-Martin,
& Haidar S. Dafsari
, 2021 , Journal of Parkinson's Disease , 12 (1) , 453--464
DOI: 10.3233/JPD-212823
Type: article
The determinants of living with long-term conditions: An international cross-sectional study
Silvia Corchon,
Carmen Rodríguez-blázquez,
Alfonso Meneses,
Marta Aranda-gallardo,
Lorena López,
Maria Eugenia Ursúa,
Maria Victoria Navarta-sanchez,
Mari Carmen Portillo,
& Leire Ambrosio
, 2021 , International Journal of Environmental Research and Public Health , 18 (19)
DOI: 10.3390/ijerph181910381
Type: article
Using explainable machine learning to identify patients at risk of reattendance at discharge from emergency departments
F. P. Chmiel,
D. K. Burns,
M. Azor,
F. Borca,
M. J. Boniface,
Z. D. Zlatev,
N. M. White,
T. W.V. Daniels,
& M. Kiuber
, 2021 , Scientific Reports , 11 (1)
DOI: 10.1038/s41598-021-00937-9
Type: article