Cargando…
Survival curves to support quality improvement in hospitals with excess 30-day mortality after acute myocardial infarction, cerebral stroke and hip fracture: a before–after study
OBJECTIVES: To evaluate survival curves (Kaplan-Meier) as a means of identifying areas in the clinical pathway amenable to quality improvement. DESIGN: Observational before–after study. SETTING: In Norway, annual public reporting of nationwide 30-day in-and-out-of-hospital mortality (30D) for three...
Autores principales: | Kristoffersen, Doris Tove, Helgeland, Jon, Waage, Halfrid Persdatter, Thalamus, Jacob, Clemens, Dirk, Lindman, Anja Schou, Rygh, Liv Helen, Tjomsland, Ole |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4386226/ https://www.ncbi.nlm.nih.gov/pubmed/25808167 http://dx.doi.org/10.1136/bmjopen-2014-006741 |
Ejemplares similares
-
Variation between Hospitals with Regard to Diagnostic Practice, Coding Accuracy, and Case-Mix. A Retrospective Validation Study of Administrative Data versus Medical Records for Estimating 30-Day Mortality after Hip Fracture
por: Helgeland, Jon, et al.
Publicado: (2016) -
30-Day Survival Probabilities as a Quality Indicator for Norwegian Hospitals: Data Management and Analysis
por: Hassani, Sahar, et al.
Publicado: (2015) -
Observed to expected or logistic regression to identify hospitals with high or low 30-day mortality?
por: Kristoffersen, Doris Tove, et al.
Publicado: (2018) -
Hospital Variation in 30‐Day Mortality for Patients With Stroke; The Impact of Individual and Municipal Socio‐Demographic Status
por: Skyrud, Katrine Damgaard, et al.
Publicado: (2019) -
Does a Code for Acute Myocardial Infarction Mean the Same in All Norwegian Hospitals? A Likelihood Approach to a Medical Record Review
por: Helgeland, Jon, et al.
Publicado: (2022)