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Feasibility and acceptability to use a smartphone-based manikin for daily longitudinal self-reporting of chronic pain.
Ali, Syed Mustafa; Selby, David A; Bourke, Darryl; Bravo Santisteban, Ramiro D; Chiarotto, Alessandro; Firth, Jill; James, Ben; Parker, Ben; Dixon, William G; van der Veer, Sabine N.
Afiliação
  • Ali SM; Centre for Epidemiology Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
  • Selby DA; Centre for Health Informatics, Division of Informatics, Imaging and Data Science, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
  • Bourke D; Centre for Epidemiology Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
  • Bravo Santisteban RD; German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany.
  • Chiarotto A; Centre for Epidemiology Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
  • Firth J; Centre for Epidemiology Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
  • James B; Department of General Practice, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.
  • Parker B; Department of Health Sciences, Faculty of Science, VU University, Amsterdam Movement Sciences, Amsterdam, the Netherlands.
  • Dixon WG; Integrated Care Centre, Pennine MSK Partnership, Oldham, UK.
  • van der Veer SN; uMotif, London, UK.
Digit Health ; 9: 20552076231194544, 2023.
Article em En | MEDLINE | ID: mdl-37599898

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Digit Health Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Digit Health Ano de publicação: 2023 Tipo de documento: Article