Patterns and predictors of variability in patient-generated daily pain severity collected via a mobile health smartphone app.
Saved in:
| Title: | Patterns and predictors of variability in patient-generated daily pain severity collected via a mobile health smartphone app. |
|---|---|
| Authors: | Little CL; Centre for Epidemiology Versus Arthritis, University of Manchester, Manchester, United Kingdom., Yimer BB; Centre for Epidemiology Versus Arthritis, University of Manchester, Manchester, United Kingdom., House T; Department of Mathematics, University of Manchester, Manchester, United Kingdom., Dixon WG; Centre for Epidemiology Versus Arthritis, University of Manchester, Manchester, United Kingdom.; NIHR Manchester Musculoskeletal Biomedical Research Unit, Central Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom., Schultz DM; Centre for Atmospheric Science, Department of Earth and Environmental Sciences, University of Manchester, Manchester, United Kingdom.; Centre for Crisis Studies and Mitigation, University of Manchester, Manchester, United Kingdom., McBeth J; Centre for Epidemiology Versus Arthritis, University of Manchester, Manchester, United Kingdom.; NIHR Manchester Musculoskeletal Biomedical Research Unit, Central Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom. |
| Source: | PloS one [PLoS One] 2026 Apr 02; Vol. 21 (4), pp. e0345420. Date of Electronic Publication: 2026 Apr 02 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1932-6203 |
|---|---|
| DOI: | 10.1371/journal.pone.0345420 |
