Table 3.
Prediction of good practice alcohol management
| N = 2468 | Model Aa | Model Ba | Model Ca | |||
|---|---|---|---|---|---|---|
| Pseudo R2 | .1208 | .1164 | .1113 | |||
| Predictors: | OR | p | OR | p | OR | p |
| Sex: 0 = male, 1 = female | 0.80 (0.66–0.97) | .026 | 1.15 (0.92–1.42) | .221 | 1.22 (0.88–1.68) | .232 |
| Age: less than 30 years old | 0.66 (0.21–2.10) | 0.71 (0.20–2.54) | 1.20 (0.14–10.57) | |||
| Age: 30–39 years old | 0.91 (0.31–2.67) | 0.69 (0.21–2.28) | 0.97 (0.12–7.81) | |||
| Age: 40–49 years old | 0.96 (0.33–2.83) | 0.75 (0.23–2.78) | 0.84 (0.10–6.77) | |||
| Age: 50–59 years old | 0.88 (0.30–2.58) | 0.72 (0.22–2.34) | 1.19 (0.15–9.42) | |||
| Age: 60–69 years old | 0.97 (0.33–2.87) | 0.89 (0.27–2.94) | 1.10 (0.13–8.88) | |||
| Age: at least 70 years old (reference categoryb) | 1 | .734 | 1 | .791 | 1 | .714 |
| Country: only France | 0.08 (0.05–0.12) | 0.20 (0.12–0.32) | 0.32 (0.14–0.67) | |||
| Country: only Germany | 0.43 (0.29–0.63) | 1.04 (0.66–1.65) | 2.79 (1.51–5.18) | |||
| Country: only Italy | 0.68 (0.49–0.96) | 1.48 (0.99–2.21) | 0.50 (0.23–1.08) | |||
| Country: only Spain | 0.98 (0.76–1.27) | 2.57 (1.88–3.51) | 2.45 (1.48–4.06) | |||
| Country: UK (reference categoryb) | 1 | <.001 | 1 | <.001 | 1 | <.001 |
| Belief: Patients successfully reduced blood pressure due to lifestyle change | 1.21 (0.96–1.52) | .098 | 1.18 (0.92–1.51) | .198 | 1.70 (1.19–2.42) | .003 |
| Belief: Lifestyle changes successful to avoid prescribed HTN medication | 1.42 (1.17–1.73) | <.001 | 1.44 (1.15–1.79) | .001 | 1.48 (1.07–2.06) | .019 |
| Knowledge: alcohol rated as important risk factor for HTN | 1.27 (1.01–1.60) | .043 | 1.43 (1.10–1.86) | .007 | 1.21 (0.82–1.79) | .332 |
| Education: university education on alcohol was sufficient | 1.41 (1.05–1.90) | .022 | 1.34 (0.97–1.86) | .079 | 1.25 (0.78–2.02) | .353 |
| Education: received post-graduate education on alcohol | 1.49 (1.23–1.80) | <.001 | 1.93 (1.55–2.40) | <.001 | 2.49 (1.75–3.54) | <.001 |
| Education: university education on HTN was sufficient | 0.91 (0.75–1.09) | .301 | 1.04 (0.84–1.29) | .702 | 0.95 (0.67–1.31) | .752 |
| Education: received post-graduate education on HTN | 1.32 (0.98–1.75) | .052 | 1.32 (0.93–1.89) | .123 | 1.05 (0.59–1.87) | .865 |
| Workload: country-standardized measure of daily patient contacts | 1.02 (0.94–1.12) | .597 | 1.02 (0.92–1.12) | .718 | 1.02 (0.90–1.16) | .752 |
Notes. HTN Hypertension
aLogistic regression models predicted alcohol management using different indicators: For Model A, sufficient screening, i.e. at least 7 out of 10 HTN patients was predicted. For Model B and C, composite indicators consisting of sufficient screening (as Model A) in addition to self-management of alcohol problems in hypertensive patients with either hazardous drinking levels (Model B) or alcohol dependence (Model C) was predicted. For Model C, treatment of alcohol problems only via brief intervention or advice did not qualify as indicator for sufficient alcohol management
bFor age and country, the p-values refer to an omnibus test for the entire variable, i.e., testing the global hypotheses that the coefficient for any age category or country deviates from the null hypothesis of no difference above chance