𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Identifying demand for health resources using waiting times information

✍ Scribed by Richard Blundell; Frank Windmeijer

Publisher
John Wiley and Sons
Year
2000
Tongue
English
Weight
81 KB
Volume
9
Category
Article
ISSN
1057-9230

No coin nor oath required. For personal study only.

✦ Synopsis

In this paper the differences in average waiting times are utilized to identify the determinants of demand for health services. The equilibrium waiting time framework is used, but the full equilibrium assumption is relaxed by selecting areas with low waiting times and by estimating a (semi-)parametric selection model. Determinants of supply are used as instruments for the endogeneity of waiting times. A model for the demand for acute services at the ward level in the UK is estimated. The model estimates, and their implications for health service allocations in the UK, are contrasted against more standard allocation models. The present results show that it is critically important to account for rationing by waiting times when identifying needs from care utilization data. Copyright

πŸ“œ SIMILAR VOLUMES

Prediction Model for Demands of the Heal
Prediction Model for Demands of the Health Meteorological Information Using a Decision Tree Method
✍ Jina Oh; Byungsoo Kim πŸ“‚ Article πŸ“… 2010 πŸ› Elsevier Science 🌐 English βš– 204 KB

## Purpose: Climate change affects human health and calls for health meteorological services. the purpose of this study is to find the significant predictors for the demands of the health meteorological information. ## Methods: This study used a descriptive design through structured self-report q

Informing the efficient use of health ca
Informing the efficient use of health care and health care research resources - the case of screening for abdominal aortic aneurysm in Sweden
✍ Martin Henriksson; Fredrik Lundgren; Per Carlsson πŸ“‚ Article πŸ“… 2006 πŸ› John Wiley and Sons 🌐 English βš– 188 KB πŸ‘ 1 views

## Abstract __Background__: An analytical framework using Bayesian decision theory and value‐of‐information analysis has recently been advocated for the economic evaluation of health technologies. The purpose of this study was to apply this framework to screening for abdominal aortic aneurysm (AAA)