Melbourne Institute of Applied Economic and Social Research - Research Publications

Permanent URI for this collection

http://hdl.handle.net/11343/414

Filters

2009 2
2
2
Reset filters

Settings
Statistics
Citations
End date: 2009 × Author: Scott, Anthony × Start date: 2009 ×

Search Results

Now showing 1 - 2 of 2
  • Item
    Thumbnail Image
    DESIGNING CHOICE EXPERIMENTS WITH MANY ATTRIBUTES. AN APPLICATION TO SETTING PRIORITIES FOR ORTHOPAEDIC WAITING LISTS
    Witt, J ; Scott, A ; Osborne, RH (WILEY, 2009-06)
    The aim of this paper is to undertake a discrete choice experiment using a 'blocked attribute' design. To date in the health economics literature, most discrete choice experiments have used only a relatively small number of attributes due to concerns about task complexity, non-compensatory decision rules, simplicity of experimental designs, and the costs of surveys. This may lead to omitted variable bias and reduced explanatory power when attributes have been pre-selected from a longer list. There may be situations where it is desirable to include a longer list of attributes, such as attaching weights to quality-of-life instruments to obtain single index scores. We examine this issue in the context of attaching weights to a disease-specific quality-of-life instrument used to prioritise patients on orthopaedic waiting lists in Victorian hospitals. Eleven attributes are allocated across three separate experimental designs and the data pooled for analysis. Pooling is justified given the specific context of the study, including attempts to minimise the effect of unobserved heterogeneity across the three models when designing the study and collecting data. Blocked attribute designs may offer flexibility to researchers when it is not possible or desirable to reduce the number of attributes.
  • Item
    Thumbnail Image
    THE EFFECTS OF AN INCENTIVE PROGRAM ON QUALITY OF CARE IN DIABETES MANAGEMENT
    Scott, A ; Schurer, S ; Jensen, PH ; Sivey, P (WILEY-BLACKWELL, 2009-09)
    An incentive program for general practitioners to encourage systematic and igh-quality care in chronic disease management was introduced in Australia in 1999. There is little empirical evidence and ambiguous theoretical guidance on which effects to expect. This paper evaluates the impact of the incentive program on quality of care in diabetes, as measured by the probability of ordering an HbA1c test. The empirical analysis is conducted with a unique data set and a bivariate probit model to control for the self-selection process of practices into the program. The study finds that the incentive program increased the probability of an HbA1c test being ordered by 20 percentage points and that participation in the program is facilitated by the support of Divisions of General Practice.