Table 7.
Association of explanatory variables with the composite quality score (N = 3,700 individuals within 240 general practices within 9 countries)
| Estimate | [95% CI] | P value | |
|---|---|---|---|
|
Individual level |
|
|
|
| Age (per 5-year) |
−0.52 |
[−1.42; 0.38] |
0.2567 |
| Gender: female |
−0.99 |
[−2.31; 0.35] |
0.1488 |
|
Practice level |
|
|
|
| FTE GP ≥ 21 |
1.60 |
[−2.12; 5.33] |
0.3983 |
| Practice location: urban2 |
0.13 |
[−3.36; 3.62] |
0.9421 |
| Practice score ‘PrevServ_53 | 4.28 | [2.59; 5.97] | <0.0001 |
1 FTE = Full time equivalent.
2 Urban: Practice location in town > 100,000 inhabitants (> 30,000 in Slovenia).
3 PrevServ_5 = Score of the number of ‘yes answers’ from the following items (Table 3):
Item 2: Is CVD risk advice (e.g. about modifiable risk factors such as diet and exercise) integrated with the patient medical record system?
Item 7: Does the practice use case finding methods to detect patients with cardiovascular risk factors?
Item 10: Does the practice have an up-to-date directory of prevention activities/organizations available locally (e.g. gyms, walking groups, weight-watchers etc.)?
Item 11: Did all nurses attend ≥ one training/continuing medical education event on CVD within the last 5 years?
Item 13: Does the practice have a procedure for smoking cessation (e.g. Minimal Intervention Strategy)?