Table 3.
Associations of demand and number of matches with staff to resident ratio.
| Model 1 |
Model 2 |
||||||
|---|---|---|---|---|---|---|---|
| Variable | Lag | Coeff. | P value | Variable | Lag | Coeff. | P value |
| Number of needed staff | 1 | -0.0003 (-0.0016, 0.0010) | 0.574 | Number of matches | 1 | 0.0021* (-0.0004, 0.0046) | 0.083 |
| 2 | 0.0006 (-0.0007, 0.0018) | 0.148 | 2 | 0.0021** (-0.0004, 0.0046) | 0.022 | ||
| 3 | 0.0012*** (-0.0001, 0.0024) | 0.004 | 3 | 0.0026** (0.0001, 0.0051) | 0.034 | ||
| 4 | 0.0014** (0.0002, 0.0025) | 0.02 | 4 | 0.0042 (0.0017, 0.0067) | 0.165 | ||
| Residents weekly COVID-19 deaths | - | 0.1019*** (0.0860, 0.118) | <0.001 | Residents weekly COVID-19 deaths | - | 0.1016*** (0.0857, 0.118) | <0.001 |
| Staff weekly COVID-19 cases | - | 0.0058 (0.0005, 0.0121) | 0.239 | Staff weekly COVID-19 cases | - | 0.0061 (-0.0002, 0.0123) | 0.223 |
| Residents weekly admissions COVID-19 | - | -0.0106** (-0.0157, -0.0055) | 0.014 | Residents weekly admissions COVID-19 | - | -0.0106** (-0.0156, -0.0055) | 0.014 |
NOTES: Model 1 estimates the association between weekly staff to resident ratio and weekly number of staff that nursing homes in Massachusetts needed. Model 2 estimates the association between weekly staff to resident ratio and weekly number of staff that the central matching process provided for nursing homes in Massachusetts. Time lags are in weeks. We used nursing-home-week fixedeffects regression models. Coefficients show changes in daily staff to resident ratio by 1 unit change of each variable. *p<0.1, **p<0.05, ***p<0.01.