NURSES’ RETENTION AND HOSPITAL CHARACTERISTICS IN NEW SOUTH WALES
Table 5. Marginal effects on the retention probabilities
|
VARIABLE |
MEAN VALUE |
STD. ERR |
|
PERSONAL CHARACTERISTICS | ||
|
male |
-0.0505 * |
0.0127 |
|
age |
0.0059 * |
0.0006 |
|
foreign born |
0.0139 |
0.0095 |
|
UK born |
-0.0315* |
0.0117 |
|
NZ born |
-0.0092 |
0.0242 |
|
foreign citizen |
-0.0237 |
0.0156 |
|
not permanent resident |
-0.1951 |
0.1768 |
|
WORK CHARACTERISTICS | ||
|
work hours |
0.0007 * |
0.0003 |
|
post basic qualifications |
0.0126 |
0.0071 |
|
years registered |
0.0022 * |
0.0006 |
|
unemployment rate |
0.0010 |
0.0012 |
|
surgical activity |
0.0138** |
0.0071 |
|
psychiatric activity |
-0.0001 |
0.0103 |
|
clinical job |
0.0264* |
0.0073 |
|
managerial job |
-0.0100 |
0.0176 |
|
HOSPITAL CHARACTERISTICS | ||
|
acute separations (excl babies) (0000s) |
-0.0616 |
0.0386 |
|
non acute separations (excl babies) (0000s) |
-0.0131 |
0.0636 |
|
baby separations (0000s) |
0.3450 |
0.2950 |
|
admissions from emergency (0000s) |
0.1740* |
0.0058 |
|
acute bed days (0000s) |
0.0001 |
0.0055 |
|
non acute bed days (0000s) |
0.0012 |
0.0055 |
|
ANDRG weight |
-0.0606 * |
0.0274 |
|
high cost procedures (0000s) |
-0.0113* |
0.0036 |
|
cost of non acute bed days ($Ms) |
0.0010** |
0.0005 |
|
waiting time |
0.0137** |
0.0071 |
|
length of stay |
0.0001 |
0.0001 |
|
non VMO expenditure ($00,000s) |
1.7900* |
0.5430 |
|
nursing EFT (00s) |
0.0103 |
0.0113 |
|
non nurse clinical EFT (00s) |
-0.0153* |
0.0048 |
|
non clinical EFT (00s) |
-0.0063 |
0.0035 |
|
VMO expenditure ($00,000s) |
-7.8400 ** |
3.9400 |
Notes: Marginal effects are calculated for each observation and averaged over the sample. For discrete variables, the
marginal effect is the shift in probability when placing the person in the group represented by the variable versus the
reference group. For continuous variables, the derivative of the predicted probability is taken. Standard errors are
computed with a bootstrap estimator using 500 replications. A * indicates that the average marginal effect is significant
according to a 95% confidence interval. A ** indicates that the effect is borderline significant at 5% in the sense that
due to the asymmetry in the bootstrap distribution, the statistic alternates between being significant or not at 5%
depending on the method used to compute the 95% confidence interval.
The level of expenditures (at constant staff levels) tends to increase retention. The effect is substantial
with an increase of one hundred thousand dollars in a hospital creating an increase of 18 ppts in the
retention probability of nurses. Note that this could indicate higher nurses’ salaries but since we are
keeping the broad categories of job classification constant, the salary increase cannot be very large. It
could indicate higher non-wage job benefits such as greater spending on staff development. It could
also represent higher salaries of other staff; i.e. it could indicate the presence of senior staff
specialists. (Note that in this experiment we are keeping the staffing levels constant when increasing
expenditures.) More detailed breakdowns of expenditures would be needed to distinguish between
these possible interpretations.
12
More intriguing information
1. Labour Market Flexibility and Regional Unemployment Rate Dynamics: Spain (1980-1995)2. Regional dynamics in mountain areas and the need for integrated policies
3. Ultrametric Distance in Syntax
4. A Consistent Nonparametric Test for Causality in Quantile
5. The mental map of Dutch entrepreneurs. Changes in the subjective rating of locations in the Netherlands, 1983-1993-2003
6. The name is absent
7. A Study of Prospective Ophthalmology Residents’ Career Perceptions
8. The name is absent
9. Optimal Private and Public Harvesting under Spatial and Temporal Interdependence
10. Firm Closure, Financial Losses and the Consequences for an Entrepreneurial Restart