| Literature DB >> 36167398 |
Sabrina Kastaun1,2, Claire Garnett3,4, Stefan Wilm5, Daniel Kotz2,3.
Abstract
OBJECTIVE: The German treatment guideline on alcohol-related disorders recommends that general practitioners (GPs) offer brief advice on, and support with, reducing alcohol consumption to hazardous (at risk for health events) and harmful (exhibit health events) drinking patients. We aimed to estimate the implementation of this recommendation using general population data.Entities:
Keywords: epidemiology; general medicine (see internal medicine); primary care; quality in health care
Mesh:
Year: 2022 PMID: 36167398 PMCID: PMC9516087 DOI: 10.1136/bmjopen-2022-064268
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 3.006
Measures of assessing alcohol consumption and ever receiving brief GP advice on/support with reducing consumption
| Exposure measure: hazardous and harmful alcohol consumption (AUDIT-C items | Outcome measure: |
|
Never (score 0) At least once a month or less (score 1) 2–4 times per month (score 2) 2–3 times per week (score 3) 4+ times per week (score 4) No answer 1–2 (score 0) 3–4 (score 1) 5–6 (score 2) 7–9 (score 3) 10+ (score 4) No answer Never (score 0) Less than monthly (score 1) Monthly (score 2) Weekly (score 3) Daily or almost daily (score 4) No answer |
No, a GP has never asked me about my alcohol consumption. Yes, a GP has asked me about my alcohol consumption at some point. Yes, a GP has advised me to drink less at some point. Yes, a GP has offered me help or support to drink less at some point. Yes, a GP has advised or helped me to make use of psychological or medical support because of my alcohol consumption at some point. I do not remember if a GP has ever addressed my alcohol consumption. No answer. |
AUDIT-C, Alcohol Use Disorders Identification Test-Consumption; GP, general practitioner.
Characteristics of all adult hazardous or harmful drinking respondents (n=2247), and prevalence estimates on the ever receipt of brief GP advice on/support with reducing alcohol consumption (=yes) relative to the respondents’ characteristics; including results of univariate regressions models on associations between these characteristics and ever receipt of GP advice
| Total adult sample of hazardous/harmful drinkers†, n=2247, % (n) | Ever GP advice on/support with alcohol consumption, yes vs no (ref), n=142 | ||
| % (n, 95% CI) | OR (95% CI) | ||
| Gender | |||
| Male (reference) | 55.0 (1235) | 9.0 (111, 7.5 to 10.7) | 1 |
| Female | 45.0 (1012) | 3.1 (31, 2.8 to 3.4) | 0.32 (0.21 to 0.48)*** |
| Age in years‡§ | |||
| 18–24 | 9.9 (222) | 1.8 (4, 0.5 to 4.5) | |
| 25–39 | 21.5 (482) | 4.8 (23, 3.0 to 7.1) | |
| 40–64 | 48.2 (1083) | 6.5 (70, 5.1 to 8.1) | |
| 65+ | 20.5 (460) | 9.8 (45, 7.2 to 12.9) | |
| Educational qualification¶ | |||
| Low (ref.) | 24.2 (543) | 10.7 (58, 8.2 to 13.6) | 1 |
| Medium | 40.6 (913) | 5.5 (50, 4.1 to 7.2) | 0.48 (0.33 to 0.72)*** |
| High | 34.6 (778) | 4.4 (34, 3.0 to 6.1) | 0.38 (0.25 to 0.59)*** |
| Household income§†† | |||
| Low | 9.3 (209) | 14.8 (31, 10.3 to 20.4) | |
| Medium | 58.7 (1319) | 5.9 (78, 4.7 to 7.3) | |
| High | 29.1 (654) | 4.6 (30, 3.1 to 6.5) | |
| Migration background | |||
| No (ref.) | 84.4 (1896) | 5.3 (101, 4.4 to 6.4) | 1 |
| Yes | 10.9 (244) | 6.6 (16, 4.0 to 10.4) | 1.27 (0.74 to 2.20) |
| Region of residence | |||
| Urban setting (ref.) | 63.7 (1431) | 5.9 (85, 4.8 to 7.3) | 1 |
| Rural setting | 36.3 (816) | 7.0 (57, 5.3 to 9.0) | 1.19 (0.84 to 1.67) |
| Tobacco smoking status | |||
| Never smoker (ref.) | 29.0 (652) | 3.4 (22, 2.1 to 5.1) | 1 |
| Former smoker | 19.0 (427) | 7.0 (30, 4.8 to 9.9) | 2.17 (1.23 to 3.81)** |
| Current smoker | 51.9 (1166) | 7.6 (89, 6.2 to 9.3) | 2.36 (1.46 to 3.80)*** |
| Alcohol consumption per AUDIT-C level†‡§ | 1.76 (1.59 to 1.95)*** | ||
Data are presented as column percentages (number), row percentages (number, 95% CIs) and as ORs together with 95% CI around OR. ORs were adjusted for the variable ‘survey wave’ (as design factor); ***p<0.001, **p<0.01, *p<0.05.
Variables with missing data: educational qualification: 0.6%, household income: 2.9%, migration background: 4.8%, smoking status: 0.1%.
†According to the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C)22; an AUDIT-C score of >5 in male respondents, and of >4 in female respondents was used to operationalise hazardous drinking.2 24 25
‡Gender-specific mean values (including median and SD) for the sample are reported in the results section of this manuscript.
§Entered as continuous variable in regression analysis.
¶German educational qualification levels: low (9 years of education, or no graduation), medium (10 years of education), high (≥12 years of education).
††Monthly net household income per person in the household, based on the Organisation for Economic Co-operation and Development-modified equivalence scale.29 The variable was categorised into three levels: low (<20th income percentile), medium (20th–80th income percentiles) and high (>80th income percentile), approximately reflecting the distribution of income in the German population.30–32
Figure 1Prevalence estimates on the various levels of GP advice on, or support with, reducing alcohol consumption (self-reported) among the total sample of adult hazardous or harmful drinkers (n=2247) reported as percentages together with 95% CIs. GP, general practitioner.
Figure 2Ever receipt of GP advice on, or support with, reducing alcohol consumption (yes, self-reported) relative to the total AUDIT-C score among the total sample of adult hazardous or harmful drinkers (n=2247) reported as percentages together with 95% CIs (black line; dotted line: trend line, polynomial function, R2=0.97). AUDIT-C, Alcohol Use Disorders Identification Test-Consumption; GP, general practitioner.