Episode detection based on personalized intensity of care thresholds
A Schizophrenia Case Study
Datos Bibliográficos
| ID | 4954752 |
|---|---|
| Autores | Stefan R A Koning (0000-0002-6652-6166, University Medical Center Groningen, autor de correspondencia), Richard Bruggeman (0000-0002-3238-8471, University Medical Center Groningen), E Visser (0000-0002-6370-5484, University Medical Center Groningen), Robert A Schoevers (0000-0003-0760-9866, University Medical Center Groningen), Jochen O Mierau (0000-0002-9968-8807, University of Groningen), Talitha L Feenstra, Talitha Feenstra (0000-0002-5788-0454, National Institute for Public Health and the Environment) |
| Año | 2021 |
| Volumen | 270 |
| Páginas | 113507 |
| Fecha de publicación | 2021-02-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Social Science & Medicine (JOURNAL) |
| Identificadores de la revista | ISSN: 0277-9536 • E-ISSN: 1873-5347 |
| Editorial | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.socscimed.2020.113507 |
| PMID | 33383484 |
| OpenAlex | W3095519758 |
| Idioma | EN |
| Referencias citadas | 14 |
The repeated application of EWMA control charts based on healthcare-intensity is a feasible and promising tool for quantifying patient-level healthcare episodes. The validation using GAF scores indicates that our episode indicator is associated with lower levels of global functioning. Results for individuals without hospitalizations indicate that the method is robust with regard to changes in healthcare policy
Cartography · Control chart · EWMA chart · Global Assessment of Functioning · Health care · Psychiatry · Scale (ratio · Schizophrenia (object-oriented programming · Chronic Disease Management Strategies · Computer Science · Health Systems, Economic Evaluations, Quality of Life · Medicine · Schizophrenia research and treatment
| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |