Predictive factors of an unfavourable evolution of symptom diagnosis in primary care
Titel onderzoek Nederlands
Predictive factors of an unfavourable evolution of symptom diagnosis in primary care
Titel onderzoek Engels
Predictive factors of an unfavourable evolution of symptom diagnosis in primary care
Onderzoeksvraag
What are the morbidity rates of persistent symptom dagnoses?
What the evolution of symptom diagnoses?
What are the predictors of persistent symptom diagnoses in primary care?
What the evolution of symptom diagnoses?
What are the predictors of persistent symptom diagnoses in primary care?
Onderzoeksinstituut
RadboudumcSamenvatting van het onderzoek
In this project, we explored morbidity rates of (persistent) symptom diagnoses using a detailed primary care data registry. We explored patients’ characteristics and GP management strategies of patients with persistent symptom diagnoses. We assessed the level of burden in patients with persistent symptom diagnoses compared to other primary care patients. We developed and externally validated a prediction model for persistent symptom diagnoses. In next studies, we will explore the evolution of symptom diagnoses in primary care.
Startdatum onderzoek
Type onderzoek
Prognostisch
Aard van het onderzoek
Epidemiology
Design van het onderzoek
Observationele cohortstudie
Onderzoeker
Dr. Asma Chaabouni
Contactpersoon
Dr. Asma ChaabouniAndere betrokkenen
Dr.Tim Olde Hartman
Beantwoordt het onderzoek een geprioriteerde kennislacune(s) uit de onderzoeksagenda huisartsgeneeskunde?
Ja
Onderzoeksagenda categorieën
SOLK
Voortgang
Lopend onderzoek
Soort samenwerking
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 956673 and is part of the Training Network Encompassing Training in fUnctional Disorders across