| Literature DB >> 27608770 |
Jürgen Rehm1,2,3,4,5,6, Jose Angel Arbesu Prieto7,8, Markus Beier9, Didier Duhot10,11,12, Alessandro Rossi13, Bernd Schulte14, José Zarco15,16,17, Henri-Jean Aubin18,19, Michael Bachmann20, Carsten Grimm21,22, Ludwig Kraus23,24, Jakob Manthey25,26, Emanuele Scafato27,28,29, Antoni Gual30,31,32.
Abstract
BACKGROUND: Even though addressing lifestyle problems is a major recommendation in most guidelines for the treatment of hypertension (HTN), alcohol problems are not routinely addressed in the management of hypertension in primary health care.Entities:
Keywords: Alcohol use disorders; Blood pressure; Disease management; Hazardous drinking; Hypertension; Primary health care; Screening
Mesh:
Year: 2016 PMID: 27608770 PMCID: PMC5016945 DOI: 10.1186/s12875-016-0529-5
Source DB: PubMed Journal: BMC Fam Pract ISSN: 1471-2296 Impact factor: 2.497
Assessment details by country
| Country | Region of drawn sample | Local responsibles | Incentives | Response ratea | Number of complete responses |
|---|---|---|---|---|---|
| France | National sample | SFMG | None | 8.5 % | 512 |
| Germany | Mostly Bavariab | BHÄV | No personal incentives; €15 paid to BHÄV suborganisation | 2.3 % | 103 |
| Hamburg | CIAR | €15 voucher | 7.9 % | 88 | |
| Italy | National sample | SIMG | None | 10.1 % | 360 |
| Spain | National sample | semFYC | None | 9.4 % | 802 |
| National sample | semergen | None | 1.1 % | 95 | |
| UK | National sample | MediConf | £10 voucher | 4.1 % | 508 |
| Total | 5.7 % | 2468 |
Note. SFMG Société Française de Médecine Générale, BHÄV Bayerischer Hausärzteverband, CIAR Centre for Interdisciplinary Addiction Research, SIMG Società Italiana di Medicina Generale, semFYC Sociedad Española de Medicina de Familia y Comunitaria. semergen = Sociedad Española de Médicos de Atención Primaria
aRefers to number of any response among all contacted individuals
bAn advertisement in a nationwide newspaper was placed during the period of data collection with very little response. Out of 103 GPs, 98 were from Bavaria and the remaining five from Hesse (1), North Rhine-Westphalia (2) and Saxony (2). The response rate was calculated by omitting the 54,000 potential readers from the denominator
Good practice alcohol management by country
| France | Germany | Italy | Spain | UK | Total | |
|---|---|---|---|---|---|---|
| Indicator A: | ||||||
| Proportion of GPs screening at least 7 out of 10 hypertensive patients for alcohol % (CI) | 5.9 (4.1–8.3) | 26.7 (20.9–33.4) | 36.1 (31.3–41.2) | 45.8 (42.6–49.1) | 42.5 (38.3–46.9) | 34.0 (32.1–35.8) |
| Indicator B: | ||||||
| Proportion of GPs with sufficient screening (as A) and self-management of alcohol problems in patients with hazardous drinking levels % (CI) | 4.5 (3.0–6.7) | 18.8 (13.9–25.0) | 26.1 (21.8–30.9) | 35.0 (32.0–38.2) | 15.7 (12.8–19.2) | 22.2 (20.6–23.8) |
| Indicator C: | ||||||
| Proportion of GPs with sufficient screening (as A) and self-management of alcohol problems in patients with alcohol dependence a % (CI) | 2.0 (1.0–3.6) | 14.1 (9.9–19.8) | 3.6 (2.1–6.1) | 13.2 (11.1–15.5) | 4.7 (3.2–7.0) | 7.8 (6.8–8.9) |
Notes. GP General Practitioner
aTreatment of alcohol problems only via brief intervention or advice did not qualify as indicator for sufficient alcohol management
Prediction of good practice alcohol management
|
| Model Aa | Model Ba | Model Ca | |||
|---|---|---|---|---|---|---|
| Pseudo R2 | .1208 | .1164 | .1113 | |||
| Predictors: | OR |
| OR |
| OR |
|
| 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