Table 3.
Linear regression of formal healthcare usage and costs on community asset participation and other characteristics
| Dependent variable: | GP visits |
Hospital visits |
Costs (£) of healthcare usage |
||||||
|---|---|---|---|---|---|---|---|---|---|
| (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | |
| Community asset participation | −0.222* | −0.170 | −0.0674 | −0.293* | −0.210 | −0.148 | −75.17* | −53.32 | −33.61 |
| (−0.418 to −0.026) | (−0.365 to 0.025) | (−0.259 to 0.124) | (−0.517 to −0.070) | (−0.428 to 0.008) | (−0.366 to 0.070) | (−141.43 to −8.90) | (−117.61 to 10.97) | (−97.10 to 29.88) | |
| Socioeconomic characteristics† | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Health conditions‡ | No | Yes | Limiting | No | Yes | Limiting | No | Yes | Limiting |
| Goodness of fit (adjusted R2) | 0.017 | 0.064 | 0.066 | 0.014 | 0.092 | 0.059 | 0.048 | 0.166 | 0.125 |
Sample size is N=3686.
95% CIs in brackets.
*p<0.05.
†Models also include gender, age, educational qualifications and living arrangements. See Data section for full details.
‡See Data section for details on the health conditions. Column 2 includes indicators to show whether or not an individual has any of the 23 conditions. Column 3 includes an indicator to show whether or not the conditions are limiting—defined as a response of 4 or 5 on the Bayliss score.
GP, general practitioner.