Skip to main content

The relationship between self-reported alcohol intake and the morbidities managed by GPs in Australia



One in five Australians consume alcohol at risky or harmful levels. Most (85%) attend a general practitioner at least once a year, giving opportunity for detecting and providing brief interventions for reducing alcohol-related harm. Historically, detection rates of problem drinking have been low in general practice, producing lower prevalence estimates of heavy drinking than expected from population surveys.


The BEACH program collects data from 100 consecutive patient consultations with 1000 GPs annually. For 40 consecutive encounters, GPs ask adult patients three questions on alcohol consumption (AUDIT-C). This paper reports the problems managed and treatments provided at encounters with heavy and non-heavy drinkers, grouped by their response to the 3rd question, and compares the two groups before and after standardisation for age and sex. Heavy drinking was defined as having 6 or more standard drinks at least once a week or more often.


Heavy drinking was reported by 7.3% patients overall; more prevalent among men (13.8%) than women (3.9%); and among Indigenous patients (18.5%). Prevalence was highest in young adults (18–24 years)(12.7%) and decreased with age. Patients from a non-English speaking background were less likely to be heavy drinkers. Heavy drinkers had more problems managed at encounters, more chronic problems, physical injuries and psychological problems (particularly depression) managed than non-heavy drinkers. They were less likely to have respiratory complaints, ischaemic heart disease or diabetes managed.


Heavy drinkers are more likely than non- or light drinkers to see their GP for management of chronic problems, psychological problems and physical injuries. However, the wide range of morbidity managed in heavy drinkers means that relying on clinical impression alone to detect this group will not suffice and should be augmented with routine screening. Given the pressures of general practice, finding efficient methods of screening for alcohol problems remains a priority.

Peer Review reports


Fifteen per cent of the Australian population consume alcohol at risky levels, while another 5% are at high risk of damage from alcohol or are alcohol-dependent [1, 2]. Alcohol misuse takes a toll on individual health. It also contributes to health care costs through general practice (GP) and emergency department presentations and hospital admissions. It can impact on the individual and family quality of life and can lead to early death.

Early and brief intervention has been demonstrated to be effective for management of excessive alcohol use and is cost-effective [35]. However, early intervention relies on active and accurate recognition of alcohol problems. In contrast as few as 30% of alcohol problems are said to be recognised by either GPs [6, 7] or hospital doctors [810].

In Australia, GPs are the gatekeepers to the health care system. There are over 17,000 recognised GPs and about 1,500 registrars enrolled in general practice training programs. GPs are the most frequently consulted health professionals (85% attend a GP at least once in a given year) [11]. There are no patient lists, people being free to visit multiple GPs and multiple practices at any time. Remuneration is on a fee-for-service basis, but the Australian Government currently pays for 85–100% of a fee set by Government (the Medicare Schedule fee) for each service [12].

The availability of data from a continuous national study of general practice clinical activity provided us with the opportunity to investigate the prevalence of risky alcohol consumption among patients attending general practice, and investigate the relationship between self-reported alcohol intake and the morbidities managed by GPs in Australia.


The 'Bettering the Evaluation and Care of Health' (BEACH) program is a continuous national study of general practice activity in Australia; sampling and method have been described in detail elsewhere [11, 13]. In summary, each year a random sample of practising GPs, drawn from the Australian Government records of GP services claims for payment through the universal health insurance scheme (Medicare), are invited to participate. Approximately 1,000 GPs participate annually, complete a questionnaire about themselves and their practice, and record patient morbidity and management details for each of 100 consecutive encounters on structured paper forms. Each participant's 100 encounters are then weighted according to the number of claims made through Medicare in the previous quarter.

The characteristics of the final GP sample are compared with those of the total sample frame, and post-stratification weighting applied for any under-representation of particular groups of GPs. Comparison of the age-sex distribution of patients in the final encounter sample with the age-sex distribution of patient at all encounters claimed through Medicare repeatedly demonstrates excellent precision [11].

We undertook a secondary analysis of a sub-sample from BEACH April 2001–September 2003. For 40 consecutive encounters out of their 100, each GP was instructed to ask the patient (if aged 18 years or over) questions regarding their usual alcohol consumption, using the first three items (AUDIT-C) from the WHO Alcohol Use Disorders Identification Test (AUDIT) [14]. The subsamples were placed successively per GP as either the first 40, the middle 40 or the last 40 in the pack of 100 forms [11, 13]. The questions asked by the GP and the response options available are shown in Table 1. The GPs were provided with a standard drinks chart [15] to show to the patient when asking these questions.

Table 1 Questions asked of patients by the GPs.

This paper focuses on the third question, which was used to divide patients into two groups:

• Heavy drinkers: Patients who have six or more standard drinks (each of 10 g ethanol) on one occasion once a week or more often.

• Non-heavy drinkers: All other patients.

This allows detection of patients who regularly place themselves at acute risk of harm, and those who are daily heavy drinkers. By comparison, the Australian National Health & Medical Research Council (NHMRC) defines acute risk of harm as consumption of >7 drinks for males, or >5 drinks for females on any one occasion [16]. This screening question has been found to have high specificity (from 79% to 96%) for detecting drinking problems, and sensitivity ranging from 45% to 83% [1720].

We classified patient reasons for encounter (RFEs) (up to three), problems managed (up to four), clinical treatments (up to two per problem) and therapeutic procedures (up to two per problem) according to the International Classification of Primary Care (ICPC-2) [21]. Chronic problems were defined according to O'Halloran et al [22]. Demographic details of the two groups were compared. Non-English speaking background (NESB) and Indigenous status of patient were self-reported. Analyses were performed using both the unadjusted and age-sex standardised data sets (standardised to the age-sex distribution of all GP encounters claimed through the Australian Government during 2001). Significance of differences in heavy drinking prevalence between selected sub-groups of patients (e.g. males and females) (Table 2) was tested with the chi squared test statistic (α = 0.01) with adjustment for the cluster sample design using STATA 8 [23]. Differences between the heavy and non-heavy drinkers are described in terms of rates of events per 100 encounters, or per 100 problems (Tables 3 and 4). Non-overlapping 95% confidence intervals, adjusted for the cluster study design, using SAS [24] indicate a significant difference between the groups.

Table 2 Prevalence of heavy drinkers by patient characteristic
Table 3 The content of the encounters
Table 4 Problems managed – significant differences between groups in rates of management of problems in terms of ICPC-2 chapters & common problems managed.

Statement of ethics clearance

The BEACH program was approved by the Health Ethics Committee of the Australian Institute of Health and Welfare and the Human Ethics Committee of the University of Sydney.


Over the 2.5 years, responses were received for 78,974 adult patients from 2,470 GPs.


Mean patient age was 52 years (range 18–102); and 38.8% were male. The prevalence of heavy drinking (6 drinks on one occasion at least weekly) was 7.3% (95% CI: 7.0–7.6), and was higher among men (13.8%) than in women (3.1%). Heavy drinking was most prevalent among young adults aged 18–24 years (12.7%), and decreased steadily with patient age group to only 1.7% among patients aged 75 years and over.

Both before and after age-sex standardisation, the prevalence of heavy drinking was significantly higher among patients who were from an English speaking background and among Indigenous patients. Eighty percent of the heavy drinkers identified by the screening question were more moderate or non-drinkers for most of the week with just episodic (e.g. weekend) heavier drinking. Only 20% of the heavy drinkers consumed 6 or more drinks daily or almost daily.

Content of encounters

Using unadjusted data, patients classified as heavy drinkers presented to the GP with significantly fewer RFEs; had fewer problems managed at the encounter and fewer chronic problems, but significantly more new and work-related problems. After age-sex standardisation, only the number of problems and the number of chronic problems managed at encounters were significantly higher than at encounters with non-heavy drinkers (Table 3).

Both before and after age-sex standardisation there were no differences between the groups in terms of the rate per 100 problems managed in: medications prescribed, supplied or advised for over-the counter purchase; procedural treatments undertaken; referrals, pathology and imaging (in total and to specific service groups). However, both before and after adjustment, heavy drinkers received clinical treatments significantly more often relative to the number of problems managed at encounter. This difference was largely explained by higher rates of counselling about alcohol, about smoking and of provision of general psychological counselling at encounters with heavy drinkers (Table 3).

The differences between the groups in terms of their RFEs (results not reported) were closely reflected in the problems managed, so this paper focuses on the latter. Table 4 shows that heavy drinkers had significantly higher management rates of psychological problems overall, and more specifically of depression, chronic and acute alcohol abuse, drug abuse and tobacco abuse. All of these except drug abuse remained significant after age-sex standardisation. Apparent differences in rates of management of back complaints, fractures, and sprain/strains disappeared after adjustment.

A separate analysis, investigating the management rate of all physical injuries, demonstrated higher management rates in heavy drinkers (unadjusted 11.4 per 100 encounters 95% CI: 10.5–12.3 compared with 6.4 per 100, 95% CI: 6.1–6.6). These differences remained after adjustment (8.4 per 100 encounters, 95% CI: 7.2–9.7 compared with 6.6 per 100, 95% CI: 6.4–6.9) (results not tabled). Problems related to the skin (laceration/cut and other skin complaints in particular) were more frequently managed in heavy drinkers but no difference remained after adjustment.

Problems less often managed at encounters with heavy drinkers were those related to the respiratory, circulatory, female genital or reproductive system, and neurological, urological, and endocrine/metabolic systems. However after age-sex adjustment, the only difference that remained was the lower rate of respiratory problems. While circulatory problems as a whole no longer differed after adjustment, ischaemic heart disease was managed less often in heavy drinkers. Diabetes was less often managed and gout more often managed in heavy drinkers even after adjustment.


This study has demonstrated that heavy drinkers seen in general practice are commonly managed for injuries and for psychological problems, particularly depression. They also have more problems managed at their GP encounters. Even after age-sex standardisation, this effect remained. Further, 80% of the heavy drinkers identified by the screening question were episodic rather than regular heavy drinkers.

As expected, males were more likely than females and smokers more likely than non-smokers to be heavy drinkers. However, contrary to traditional stereotypes of problem drinkers, prevalence was higher among young adult patients than among middle-aged and older people. Further, after age-sex standardisation prevalence of heavy drinking was not higher among those who held a concessional health care card (a broad indicator of social disadvantage) than among those who did not.

The prevalence of heavy drinking was three times higher in Indigenous than non-Indigenous patients. Household surveys demonstrate that while Indigenous Australians are more likely than the rest of the population to be abstainers, those who do drink are more likely to experience alcohol related problems [25]. This greater risk of alcohol-related problems is common to indigenous peoples around the world, and is contributed to by social disadvantage, reduced sense of belonging, reduced control over life, and repeated experiences of loss, such as in early deaths, imprisonment of relatives or separation of children from families [26, 27].

Being from a Non-English speaking background makes it less likely that a patient will be a heavy drinker. This may be due to influences of the culture and religion of the country of origin, with both Buddhist and Muslim religions, for example, proscribing intoxication. In addition, families who have been in Australia for shorter periods of time may be less likely to have adopted the pattern of relatively high alcohol consumption that occurs in Australia [28].

The most striking association with heavy drinking in this general practice sample was the higher management rate of psychological problems, depression in particular. After age-sex standardisation, heavy drinkers were 1.6 times more likely to have a psychological problem managed during a visit when alcohol screening took place, although this included the alcohol problem itself (Table 4). Up to 30% of alcohol-dependent patients have depression which often resolves with abstinence and no specific treatment [29]. Counselling about alcohol was provided to the heavy drinking group at a rate of 5.8 per 100 encounters (Table 3). Acute or chronic alcohol problems were managed at a rate of 4.7 per 100 encounters (Table 4). This table includes significant results only. Counselling may have been provided at a higher rate than in typical practice, as the screening questions could have alerted the doctor to an otherwise undetected alcohol problem. However, given this, it is surprising that the management and counselling rates for alcohol related problems were not considerably higher. It is possible that having identified the issue at this encounter, the GPs may follow up at a subsequent encounter. Interestingly, the rate of counselling is almost exactly the same as that reported with general practice patients in another study. In that study the patients were alcohol-dependent and had sought help [30].

Consistent with its association with alcohol, heavy drinkers had a higher management rate of gout. Interestingly, they had lower management rates of ischaemic heart disease and diabetes. Multiple large prospective studies have shown a protective effect of alcohol consumption against ischaemic heart disease, [31] and although heavy drinking is a risk factor for type 2 diabetes, and a number have shown that regular moderate consumption may also be a protective factor with increased insulin sensitivity [32, 33]. Alternatively, these results may reflect a tendency for people to avoid heavy drinking after being diagnosed with either of these diseases, whatever their past alcohol consumption behaviour.

The lower management rate of respiratory problems is surprising, given the known association between average daily alcohol consumption and number of cigarettes smoked. However, 80% of the heavy drinkers in this study drank less or not at all on other days and they may not have been regular smokers.

A low rate of detection of risky drinking has been widely reported in both general practice [6, 10, 34] and hospitals [8, 9, 35]. This in part reflects the challenges of routine screening, particularly in busy clinical practice [7, 36, 37]. In Australia, patients are not restricted to one family doctor and may visit a number of different practices. This increases the challenge of quantifying drinking in all new patients. In other cases, lack of routine screening may reflect low GP confidence or skills in detection and intervention for alcohol problems [3840].

Limitations of the study

There is a small possibility that a patient was seen twice by the same GP during the BEACH recording period. However the GP may have left the second set of questions blank. Also, as only 40 of the 100 patient encounters are asked the alcohol questions, a patient having a repeat visit may well have been asked a different set of questions at the second visit.

These data cannot claim to reflect the characteristics of the population who attend general practice in Australia. Individuals attend GPs at different rates and the rate is influenced by age, sex and health status as well as socio-economic factors. Therefore, at any single encounter frequent attendees have a greater chance of being included in the study than infrequent attendees. This could lead to an underestimate of the prevalence of heavy drinking in the average GP patient population if problem drinkers attend less often because they neglect their health. Alternately, it could result in an overestimate if problem drinkers have more health problems and attend more often.

The proportion of patients classed as heavy drinkers in this study was lower than the prevalence of 11% detected by CAGE and 24% detected by SMAST in another general practice study [36] and slightly lower than in the general population. Comparison with the National Drug Strategy Household Survey acute risk figures shows an almost identical proportion (7.7%) were drinking at risk of harm in the short term (i.e. consuming >7 drinks for males or >5 drinks for females, on any one day) [1]. The population differs slightly, as the Household Survey also includes people aged 14 to 17 years. The National Drug Strategy Household Survey [1] uses drinks per week as a measure of risk for long-term harm (>28 drinks per week for males or >15 for females is defined as risky). Their figure of 10% is comparable with our rate of 7.3%. Our prevalence of heavy drinking is considerably lower than that from the New South Wales Adult Health Survey, [41] which estimates that 34% of the people who drink alcohol report some risk drinking behaviour. However, that survey excludes non-drinkers.

The screening question used in this analysis would not have detected men or women drinking over the Australian recommended limit but below 6 drinks per occasion (i.e. women drinking 3–5 drinks daily, or men 5 drinks daily). It is also possible that alcohol problems were under-detected, due to deliberate patient under-reporting or embarrassment at reporting their true rate of consumption, or because drinking was inadvertently not reported in standard drinks (a can of beer, for example is 1.5 Australian standard drinks), although a standard drinks chart was provided for reference.

In other settings, asking this one question (How often do you drink six or more drinks on one occasion?) has been previously demonstrated to be a highly specific screen (94–99%) in detecting problem drinkers identified by a validated 10-item questionnaire. The sensitivity was somewhat lower, ranging from 79–89% [19, 20] but still considerably higher than the 30%–45% sensitivity that has been obtained by doctors in routine clinical practice [6, 7, 18].


The prevalence of heavy drinking found in this study in patients attending general practice provides GPs with about 7.3 million opportunities per year in Australia, during normal consultations with their patients, to identify these issues and provide advice or counselling. This study illustrates the wide range of presentations of heavy drinkers, the need for a high level of alertness to the possibility of alcohol problems, and for a routine brief alcohol history.

Given time pressures faced by GPs and past poor detection rates, there is ongoing need for efficient methods of screening for alcohol problems. The single item screening question used in this study has previously been shown to have high specificity, but imperfect sensitivity. The three item AUDIT-C questionnaire (sensitivity 92%, specificity 74% for males; 91% and 68% for females) [42] provides an acceptable and still brief alternative, as do the variety of 4–6 item questionnaires developed for rapid detection of alcohol problems [43, 44]. In some countries, practice nurses take on the role of screening for health risk factors [45, 46]. In addition, time saving techniques such as waiting- room screening, sometimes using handheld computers, are being investigated.


Alcohol problems are common and have a major impact on the workload of the family doctor. While traditional teaching in medical schools focused on alcohol-related end organ damage, patients with alcohol problems are more likely to have depression and other psychological problems, physical injuries and gout managed by their GP. However, the wide range of morbidity managed in heavy drinkers means that relying on clinical impression alone to detect this group will not suffice. Routine alcohol history-taking or other screening is required. Given the pressures of general practice, finding efficient methods of screening for alcohol problems remains a priority.


  1. AIHW: 2004 National Drug Strategy Household Survey. First results. AIHW cat no. PHE 57. 2005, Canberra, Australian Institute of Health & Welfare

    Google Scholar 

  2. Teesson M, Hall W, Lynskey M, Degenhardt L: Alcohol- and drug-use disorders in Australia: implications of the National Survey of Mental Health and Well-Being. Australian & New Zealand Journal of Psychiatry. 2000, 34: 206-213. 10.1046/j.1440-1614.2000.00715.x.

    CAS  Article  Google Scholar 

  3. Bien TH, Miller WR, Tonigan JS: Brief interventions for alcohol problems: a review. Addiction. 1993, 88: 315-336. 10.1111/j.1360-0443.1993.tb00820.x.

    CAS  Article  PubMed  Google Scholar 

  4. Moyer A, Finney JW, Swearingen CE, Vergun P: Brief interventions for alcohol problems: a meta-analytic review of controlled investigations in treatment-seeking and non-treatment-seeking populations. Addiction. 2002, 97: 279-292. 10.1046/j.1360-0443.2002.00018.x.

    Article  PubMed  Google Scholar 

  5. Wutzke SE, Shiell A, Gomel MK, Conigrave KM: Cost effectiveness of brief interventions for reducing alcohol consumption. Social Science & Medicine. 2001, 52: 863-870. 10.1016/S0277-9536(00)00189-1.

    CAS  Article  Google Scholar 

  6. Reid ALA, Webb GR, Hennrikus D, Fahey PP, Sanson-Fisher RW: General practitioners' detection of patients with high alcohol intake. British Medical Journal. 1986, 293: 735-737.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  7. Fucito LM, Gomes BS, Murnion B, Haber PS: General practitioners' diagnostic skills and referral practices in managing patients with drug and alcohol-related health problems: implications for medical training and education programmes. Drug & Alcohol Review. 2003, 22: 417-424. 10.1080/09595230310001613930.

    Article  Google Scholar 

  8. Sharkey J, Brennan D, Curran P: The pattern of alcohol consumption of a general hospital population in north Belfast. Alcohol Alcohol. 1996, 31: 279-285.

    CAS  Article  PubMed  Google Scholar 

  9. Hearne R, Connolly A, Sheehan J: Alcohol abuse: prevalence and detection in a general hospital. Journal of the Royal Society Of Medicine. 2002, 95: 84-87. 10.1258/jrsm.95.2.84.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Rumpf HJ, Bohlmann J, Hill A, Hapke U, John U: Physicians' low detection rates of alcohol dependence or abuse: a matter of methodological shortcomings?. General Hospital Psychiatry. 2001, 23: 133-137. 10.1016/S0163-8343(01)00134-7.

    CAS  Article  PubMed  Google Scholar 

  11. Britt H, Miller GC, Knox S, Charles J, Valenti L, Henderson J, Pan Y, Bayram C, Harrison C: General practice activity in Australia 2002-03. AIHW Cat. No. GEP 16. 2003, Canberra, AIHW & University of Sydney

    Google Scholar 

  12. Australia, Commonwealth: General Practice in Australia: 2004. 2005, Canberra, Commonwealth of Australia

    Google Scholar 

  13. AIHW: General practice activity in Australia 2003-4. 2004, 2005:

    Google Scholar 

  14. WHO Brief Intervention Study Group: A cross-national trial of brief interventions with heavy drinkers. American Journal of Public Health. 1996, 86: 948-955.

    Article  Google Scholar 

  15. NHMRC: Standard drinks chart: 2003, , NHMRC, 2003:

    Google Scholar 

  16. NHMRC: Australian Alcohol Guidelines: Health Risks and Benefits. 2001, Canberra, National Health & Medical Research Council

    Google Scholar 

  17. Williams R, Vinson DC: Validation of a single screening question for problem drinking. Journal of Family Practice. 2001, 50: 307-312.

    CAS  PubMed  Google Scholar 

  18. Bradley KA, Bush KR, Epler AJ, Dobie DJ, Davis TM, Sporleder JL, Maynard C, Burman ML, Kivlahan D: Two brief alcohol-screening tests from the Alcohol Use Disorders Identification Test (AUDIT): validation in a female veterans affairs patient population. Archives of Internal Medicine. 2003, 163: 821-829. 10.1001/archinte.163.7.821.

    Article  PubMed  Google Scholar 

  19. Gordon AJ, Maisto SA, McNeil M, Kraemer KL, Conigliaro RL, Kelley ME, Conigliaro J: Three questions can detect hazardous drinkers. Journal of Family Practice. 2001, 50: 313-320.

    CAS  PubMed  Google Scholar 

  20. Bush K, Kivlahan DR, McDonell MB, Fihn SD, Bradley KA: The AUDIT alcohol consumption questions (AUDIT-C): an effective brief screening test for problem drinking. Ambulatory Care Quality Improvement Project (ACQUIP). Arch Intern Med. 1998, 158: 1789-1795. 10.1001/archinte.158.16.1789.

    CAS  Article  PubMed  Google Scholar 

  21. ICPC-2: International Classfication of Primary Care. 2nd ed. 1998, Oxford, Oxford University Press

  22. O'Halloran J, Britt H, Valenti L, Harrison C, Pan Y: Older patients attending general practice in Australia 2000-02. AIHW Cat.No. GEP12. 2003, Canberra, Australian Institute of Health & Welfare

    Google Scholar 

  23. StataCorp: Stata Statistical Software: Release 8. 2003, , College Station:TX

    Google Scholar 

  24. SAS: SAS Proprietary Software: Release 8.2. 2001, Cary, SAS Institute

    Google Scholar 

  25. CDHSH: National drug strategy household survey. Urban Aboriginal and Torres Strait Islander Peoples Supplement 1994. 2001, Australian Government Publishing Service, Canberra,

    Google Scholar 

  26. Kirmayer LJ, Brass GM, Tait CL: The mental health of Aboriginal peoples: transformations of identity and community. Canadian Journal of Psychiatry - Revue Canadienne de Psychiatrie. 2000, 45: 607-616.

    CAS  PubMed  Google Scholar 

  27. National Drug Strategy: Aboriginal and Torres Strait Islander Peoples Complementary Action Plan 2003-2006. 2003, Canberra, Commonwealth of Australia

  28. AIHW: 2001 National Drug Strategy Household Survey. 2002, Canberra, Australian Institute of Health & Welfare

    Google Scholar 

  29. Davidson M: Diagnosis of depression in alcohol dependence: changes in prevalence with drinking status. British Journal of Psychiatry. 1995, 166: 199-204.

    CAS  Article  PubMed  Google Scholar 

  30. Hapke U, Rumpf H-J, John U: Differences between hospital patients with alcohol problems referred for counselling by physicians' routine clinical practice versus screening questionnaires. Addiction. 1998, 93: 1777-1785. 10.1046/j.1360-0443.1998.931217774.x.

    CAS  Article  PubMed  Google Scholar 

  31. Mukamal KJ, Conigrave K, Mittleman MA, Camargo Jnr CA, Stampfer M, Willett W, Rimm E: Roles of drinking pattern and type of alcohol consumed in coronary disease in men. New England Journal of Medicine. 2003, 348: 109-118. 10.1056/NEJMoa022095.

    Article  PubMed  Google Scholar 

  32. Conigrave KM, Hu BF, Camargo CAJ, Stampfer MJ, Willett WC, Rimm EB: A prospective study of drinking patterns in relation to risk of Type 2 diabetes among men. Diabetes. 2001, 50: 2390-2395.

    CAS  Article  PubMed  Google Scholar 

  33. Conigrave K, Hu F, Camargo Jnr C, Stampfer M, Willett W, Rimm E: Pattern of alcohol consumption and risk of diabetes: a 12 year prospective study of 46,892 men [abstract]. Alcoholism: Clinical and Experimental Research. 2000, 24: 187A-

    Google Scholar 

  34. Spandorfer JM, Israel Y, Turner BJ: Primary care physicians' views on screening and management of alcohol abuse: inconsistencies with national guidelines. Journal of Family Practice. 1999, 48: 899-902.

    CAS  PubMed  Google Scholar 

  35. Gordon JJ, Fahey P, Sanson-Fisher R: Interns' identification of patients' health risks in a casualty department. Med J Aust. 1988, 148: 615-619.

    CAS  PubMed  Google Scholar 

  36. Rydon P, Redman S, Sanson-Fisher RW, Reid AL: Detection of alcohol-related problems in general practice. Journal of Studies on Alcohol. 1992, 53: 197-202.

    CAS  Article  PubMed  Google Scholar 

  37. Aira M, Kauhanen J, Larivaara P, Rautio P: Factors influencing inquiry about patients' alcohol consumption by primary health care physicians: qualitative semi-structured interview study. Fam Pract. 2003, 20: 270-275. 10.1093/fampra/cmg307.

    Article  PubMed  Google Scholar 

  38. Roche AM, Hotham ED, Richmond RL: The general practitioner's role on AOD issues: overcoming individual, professional and systemic barriers. Drug & Alcohol Review. 2002, 21: 223-230. 10.1080/0959523021000002679.

    Article  Google Scholar 

  39. Aalto M, Pekuri P, Seppa K: Primary health care professionals' activity in intervening in patients' alcohol drinking: a patient perspective. Drug Alcohol Depend. 2002, 66: 39-43. 10.1016/S0376-8716(01)00179-X.

    Article  PubMed  Google Scholar 

  40. Brotons C, Bjorkelund C, Bulc M, Ciurana R, Godycki-Cwirko M, Jurgova E, Kloppe P, Lionis C: Prevention and health promotion in clinical practice: the views of general practitioners in Europe. Preventive Medicine. 2005, 40: 595-601. 10.1016/j.ypmed.2004.07.020.

    Article  PubMed  Google Scholar 

  41. Report of the NSW Adult Health Survey Program. 2004, , Centre for Epidemiology and Research, NSW Department of Health

  42. Gual A, Segura L, Contel M, Heather N, Colom J: Audit-3 and audit-4: effectiveness of two short forms of the alcohol use disorders identification test. Alcohol Alcohol. 2002, 37: 591-596.

    Article  PubMed  Google Scholar 

  43. Cherpitel CJ: Comparison of screening instruments for alcohol problems between black and white emergency room patients from two regions of the country. Alcohol Clin Exp Res. 1997, 21: 1391-1397.

    CAS  Article  PubMed  Google Scholar 

  44. Aertgeerts B, Buntinx F, Ansoms S, Fevery J: Screening properties of questionnaires and laboratory tests for the detection of alcohol abuse or dependence in a general practice population. British Journal of General Practice. 2001, 51: 206-217.

    CAS  PubMed  PubMed Central  Google Scholar 

  45. Lock CA, Kaner EF: Implementation of brief alcohol interventions by nurses in primary care: do non-clinical factors influence practice?. Family Practice. 2004, 21: 270-275. 10.1093/fampra/cmh310.

    Article  PubMed  Google Scholar 

  46. Lock CA, Kaner E, Lamont S, Bond S: A qualitative study of nurses' attitudes and practices regarding brief alcohol intervention in primary health care. Journal of Advanced Nursing. 2002, 39: 333-342. 10.1046/j.1365-2648.2002.02294.x.

    Article  PubMed  Google Scholar 

Pre-publication history

Download references


The BEACH program 2001–2003, from which these data were drawn, was funded by the Australian Government Department of Health and Ageing, AstraZeneca (Australia), Aventis Pharma Pty Ltd (2001–02), Roche Products Pty Ltd, Janssen-Cilag Pty Ltd, and Merck Sharp & Dohme (Australia) Pty Ltd.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Elizabeth M Proude.

Additional information

Competing interests

The author(s) declare that they have no competing interests.

The authors: HB is the Director of the AIHW Australian General Practice Statistics & Classification Centre and had the idea for the paper; LV, Senior Analyst, analysed the data; and EP and KM wrote the first draft of the paper. All authors contributed substantially to the writing and the revisions of the article.

Rights and permissions

Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Proude, E.M., Britt, H., Valenti, L. et al. The relationship between self-reported alcohol intake and the morbidities managed by GPs in Australia. BMC Fam Pract 7, 17 (2006).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Heavy Drinker
  • Alcohol Problem
  • Standard Drink
  • National Drug Strategy Household Survey
  • High Management Rate