- Open Access
Alcohol use disorder severity and reported reasons not to seek treatment: a cross-sectional study in European primary care practices
Substance Abuse Treatment, Prevention, and Policy volume 10, Article number: 32 (2015)
Alcohol use disorders are among the mental disorders with the lowest treatment rates. Increasing the treatment rates requires insight on the reasons why patients do not seek treatment. This study examined self-reported reasons for not seeking treatment and their association with alcohol use disorder severity among primary health care patients diagnosed with an alcohol use disorder.
Alcohol use disorders, health service utilization, and reasons for not seeking treatment were assessed via interviews on regionally representative samples of primary care patients from 6 European countries (Italy, Germany, Hungary, Latvia, Poland and Spain, total N = 9,098). Additionally, general practitioners had to fill in a questionnaire assessing their patients’ alcohol use and alcohol use disorders. A multinomial logistic regression was performed to investigate the association between reasons for not seeking treatment and alcohol use disorder severity.
Of 1,008 patients diagnosed with an alcohol use disorder (via general practitioner or patient interview) in the past 12 months, the majority (N = 810) did not receive treatment and 251 of those gave a reason for not seeking treatment. The most frequent reason was ‘lack of problem awareness’ (55.3 % of those who responded), the second most common response was ‘stigma or shame’ (28.6 %), followed by ‘encounter barriers’ (22.8 %) and ‘cope alone’ (20.9 %). The results indicated lower probabilities of reporting ‘denial’ and higher probabilities to report ‘encounter barriers’ as alcohol use disorders severity increases. However, both trends were discontinued for patients with severe alcohol use disorders.
Particularly at lower levels of alcohol use disorder severity, a lack of problem awareness prevents patients from seeking treatment. Routinely alcohol consumption monitoring in primary care practices could help primary and secondary prevention of alcohol use disorders and increase treatment coverage.
Alcohol use disorders (AUDs) are among the mental disorders with the lowest treatment rate. In high income countries 10 % or less of the people fulfilling the diagnostic criteria receive treatment  (Europe),  (Europe),  (USA). Given that alcohol is one of the most important risk factors for morbidity and mortality in Europe  and AUDs account for significant shares of disease burden in Europe , increasing treatment engagement should be a public health priority . Rehm and colleagues recently demonstrated that increasing the treatment coverage to 40 % would lead to a reduction of up to 10 % in alcohol-attributable mortality in the EU within the first year alone . One way to increase treatment rates is to increase patients’ treatment seeking. It is therefore crucial to know why patients do not seek treatment. The present study examined patients’ self-reported reasons for not seeking treatment and their association with AUDs severity. Past research concentrated on three explanations :
Patients fear stigmatization
Patients do not believe treatment is effective/helpful or do not know about treatment options
Patients deny having a problem with their alcohol use or want to cope with it on their own.
As postulated by the modified labelling theory, people attempt to avoid a stigma (e.g. via closure or social withdrawal) . In many modern societies, people labelled as ‘alcoholics’ are regarded as being responsible for their situation, unpredictable and dangerous . Research has repeatedly shown that people with AUDs experience stigmatization (by the public as well as from health professionals) more severely than people with other mental disorders [10, 9]. A high perceived stigma in persons diagnosed with an AUD has been shown to reduce the probability of using health care services [11–13] and thereby contributes to a decreased likelihood of treatment seeking.
Another reason for not seeking treatment is denial or lack of problem awareness. Several studies showed that patients did not seek treatment because they did not perceive any need for treatment [14–16, 3]. Even if acknowledged, many persons with AUDs expressed the wish to handle the problem on their own instead of seeking professional treatment [17, 3].
Skepticism about the treatments system has also been shown to prevent seeking treatment: patients reported doubts about the effectiveness of AUDs treatment and expressed the wish not to stop drinking completely . Actual treatment-related barriers like financial barriers (e.g. affordability, insurance issues) or structural barriers (e.g. lack of knowledge who to ask for help, lack of time) have also been reported repeatedly by patients [12, 18–20, 3].
It should be noted that some of the reasons mentioned above presuppose a certain degree of problem insight while others do not. In a theoretical framework (see Fig. 1), Saunders linked the treatment seeking process and related barriers to the degree of problem insight [21, 22, 17]. According to this framework, at an early stage of AUDs people deny having a problem with alcohol or do not recognize their drinking behavior as problematic. However, once the problem is acknowledged, those affected might wish to handle it on their own, partly because of their fear of stigmatization. Previous research has shown that patients that seek treatment do so after postponing treatment seeking for several years and a number of failed attempts to quit or control drinking on their own . Those with more severe symptoms might encounter barriers like accessibility/affordability once they recognize that treatment seeking is necessary.
Building on this framework, we do emphasize the relationship between the reasons for not seeking treatment and AUDs severity [17, 24, 25]. We hypothesized that at low levels of AUDs severity a lack of problem awareness is the predominant reason not to seek treatment. As AUDs severity increases, denial becomes more difficult and individuals are more likely to consider treatment and to face actual barriers associated with the treatment seeking process.
It should be noted that while evidence for Europe is sparse, the large part of the evidence on treatment seeking is based on studies from North American countries (particularly based on the two large epidemiological studies National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) , and the National Household Survey on Drug Use and Health (NSDUH)  from the US). The present study is thereby a necessary addition of evidence for European countries.
The Alcohol Dependence in Primary Care study (APC study) collected data between January 2013 and January 2014. General practitioners (GPs) were asked to evaluate their patients’ alcohol use as well as other health related variables and patients were interviewed independently by trained study personnel. While the most important features are stated below, more details on design, sampling, and assessment are described elsewhere [27–29].
GPs and their patients were representatively sampled in nine regions from six European countries (Italy, Germany, Hungary, Latvia, Poland and Spain) using complete registers or local GP associations. In some countries, GPs were randomly sampled from registers while in others sampling was stratified according to pre-selected criteria (e.g. urbanity, size of GP practice). 56.4 % of contacted GPs refused study participation. The majority of GPs refused their participation for reasons unrelated to this study’s characteristics, e.g. tight schedules, insufficient space in the PC facility, lack of interest in research activities generally or current participation in other studies. For countries with populations below 40 million inhabitants (Latvia and Hungary) primary care practices were sampled to be nationally representative. In the remaining countries primary care practices were regionally representative (Italy: Friuli-Venezia Giulia and Tuscany region; Germany: Saxony and Berlin state; Poland: Łódź and Podkarpackie province; Spain: Catalonia autonomous community). In Hungary and Spain, all patients with GP assessment were interviewed. In the remaining countries, patients were selected for interview either randomly or based on stratification (oversampling AUDs cases as judged by the GP), with an overall patient refusal rate of 17.8 %. Ethical approval was obtained in each of the participating countries and the respective reference numbers are shown in Additional file 1: Table S1 as Additional file.
GPs were asked to fill in a brief questionnaire for all patients (18–64 years of age) coming to their practice on a given preselected day or several days. Information on the patients’ demographics, health status, reasons for consulting the GP, current alcohol use and AUDs, and information regarding treatment for AUDs were determined by the GP, based on his/her best knowledge of the patients’ problems. GPs were allowed to use the patients’ medical charts. Trained study personnel interviewed the patients after their appointment at the GP’s premises or on a subsequent day at the study center. Informed consent was obtained by all interviewed patients.
The patient interview included the AUDs section of the Composite International Diagnostic Interview (CIDI);  assessing information on alcohol use and AUDs criteria according to the fourth as well as the fifth revision of the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV; , DSM-5); . To assess reasons for not seeking treatment, patients reporting any DSM-5 AUDs symptom, were subsequently asked if they sought help. If they responded negatively they were asked an open ended (‘If you did not ask for help, please describe why’; lifetime and 12 months) as well as a set of closed questions (asking for shame, stigma, dissatisfaction with treatment system and wish not to stop drinking completely; referring to the past 12 months only). Additionally, the patient interview comprised questions on socio-demographics as well as a number of validated questionnaires.
A coding scheme was developed in a directed content analysis : First a literature review identifying key reasons for not seeking treatment was performed to generate the basic coding scheme. Then all answers on the open ended question were read to identify meaningful subcategories and include reasons not yet covered by the basic coding scheme. After coding a sample of 100 answers the authors discussed and adapted the scheme where necessary to capture all reported reasons. The coding scheme (see Additional file 1: Table S2) was then applied independently by two raters. All cases of non-agreement were revisited and discussed between the authors to come to a final decision.
The scheme allowed for multiple coding on the following broader categories (number of subcategories): ‘lack of problem awareness’ (6), ‘cope alone’ (4), ‘stigma or shame’ (3), ‘other prominent problem’ (2), ‘encounter barriers’ (7), and ‘not codable’ (2). Answers were classified as ‘not codable’ when the patient did report seeking professional help or when the answer was incomplete or incomprehensible.
Comprehensive variables were then generated including the information on treatment seeking assessed in closed variables as well as the coded answers from open ended questions (see Additional file 1: Table S2). For the evaluation of Saunders’ theoretical framework  we summarized the reported reasons in the following four categories: (1) ‘denial of the problem’; (2) ‘minimization of problem severity’; (3) ‘self-change’; and (4) ‘encounter barriers’. See Table 1 for an overview on broader categories, subcategories and classification according to Saunders’ framework.
Inter-rater agreement was evaluated using kappa statistics. Kappa was calculated for accordance on the broader category (e.g. any kind of lack of problem awareness was coded vs. no lack of problem awareness coded) as well as accordance on subcategories within broader categories .
Frequencies and percentages were calculated for all patients who were diagnosed with an AUD by their GP or by CIDI (at least a mild AUD as per DSM-5), had not received treatment, and had a valid answer in the questions concerning treatment seeking. Exploratory logistic regressions were calculated to investigate patient characteristics (age, sex, years of education, employment status, and AUDs severity) predictive of providing a valid answer in the questions concerning treatment seeking. Percentages and frequencies of broader categories by country were calculated for the past 12 months. To investigate country specific outliers, standardized residuals  were calculated. A standardized residual > |3| was considered as outlier . The country specific results are reported in the Additional file 1: Table S3 and should be interpreted with caution, because of the small sample size.
To investigate associations with AUDs severity, the reason for not seeking treatment ordered according to Saunders’ framework (see above) served as dependent variable. AUDs severity was operationalized as defined in DSM-5 (sub threshold (1 criterion), mild (2–3 criteria), moderate (4–5 criteria), severe (6 or more criteria)). As the proportional odds assumption did not hold, multinomial logistic regression was performed introducing AUDs severity as a factorial variable and adjusting for age. Based on the resulting model, predicted probabilities were calculated for all levels of AUDs severity. All analyses were conducted in STATA 12, considering 12 months and lifetime (excluding 12 months) variables separately. Sample weights were applied in all analyses to account for different sampling probabilities [27, 28].
The inter-rater accordance was assessed based on all coded answers (N = 552 for past 12 months questions and N = 1,107 for lifetime), irrespective of the respondent’s treatment status and AUDs diagnosis (i.e. sub threshold cases with only one criterion included). Multiple answers per patient were possible. The two raters showed a substantial to perfect accordance as shown in Table 2.
Frequencies and percentages
The majority of the 9,098 patients (3,715 males and 5,383 females) interviewed came from Hungary (N = 2,306), followed by Spain (N = 1,994). The remaining patients came from Germany (N = 1,356), Latvia (N = 1,302), Poland (N = 1,197) and Italy (N = 943). The mean age was 44.3 years (standard deviation 13.3 years), ranging between 18 and 64 years. On average the patients received 12.7 years of education (standard deviation 3.6 years) and 13.3 % of the sample was unemployed. Details on patients demographics are reported elsewhere .
As shown in Fig. 2, 1,008 patients were diagnosed with an AUD (12 months). 80 % of those patients did not receive any professional treatment  and of those 251 reported a reason why they did not receive treatment. Of the 1,774 patients with a lifetime AUD diagnosis (12 months excluded), 77 % did not receive treatment and 664 reported a reason for not seeking treatment. For questions referring to the past 12 months AUDs, unemployed patients were more likely to report a reason for not seeking treatment (OR = 2.24, 95 % confidence interval (CI) 1.36-3.70) and patients with a severe AUD were less likely to report a reason for not seeking treatment (OR = 0.53, 95 % CI 0.31-0.92). For lifetime AUDs no patient characteristic was predictive of reporting a reason for not seeking treatment.
Frequencies (multiple answers per patient possible) and weighted percentages including CIs of categories and subcategories are shown in Table 3. For past 12 months cases, the most frequent reason for not seeking treatment was ‘lack of problem awareness’ (55.3 %). Patients reporting ‘lack of problem awareness’ most frequently, did not consider their drinking as a problem or stated that no help was needed. The second most common reasons was ‘stigma or shame’ (28.6 %), closely followed by ‘encounter barriers’ (22.8 %) and ‘cope alone’ (20.9 %). The specific barrier reported most frequently was the wish not to stop drinking (72.9 %). Among patients fulfilling at least four DSM-5 criteria (moderate to severe AUDs), the share of patients reporting ‘lack of problem awareness’ was 52.1 % (12 months, 95 % CI 39.1-65.1; not shown in Table 3).
Country specific analyses showed a higher than expected prevalence for Germany (‘lack of problem awareness’), Latvia (‘cope alone’), and Spain (‘shame or stigma’ and ‘encounter barriers’) as indicated by standardized residuals above three. Lower than expected prevalence was only observed in Spain (‘lack of problem awareness’). Country specific percentages and standardized residuals can be found in Additional file 1: Table S3.
For lifetime AUDs 78.3 % of the patients named ‘lack of problem awareness’ as a reason for not seeking treatment. The second most common answer was ‘cope alone’ (17.2 %), while the remaining categories were all below 5 %.
The association with alcohol use disorder severity
Multinomial logistic regression was conducted to test the hypothesis that severity of AUDs (12 months) was associated with the reported reason for not seeking treatment, categorized according to Saunders’ theoretical framework (1= ‘denial of the problem’, 2 = ‘minimization of problem severity’, 3 = ‘self-change’, 4 = ‘encounter barriers’; see Table 1). The analysis included sub threshold cases fulfilling only one DSM-5 criterion and therefore included more patients than the descriptive analyses reported above. Overall 379 patients were included in the analysis of which 192 had a sub threshold, 140 a mild, 40 a moderate and 25 a severe AUD. The results are shown in Table 4. Based on the model probabilities for reporting a certain reason for not seeking treatment were calculated for each level of severity as defined by DSM-5. The results shown in Fig. 3 indicate lower probabilities of reporting ‘denial’ and higher probabilities to report ‘encounter barriers’ as AUDs severity increases. However, both trends were discontinued for patients with severe AUDs.
As also reflected in the odds ratios from the multinomial regression, the predicted probabilities of reporting ‘minimization of problem severity’ or ‘self-change’ were overall relatively low and did not show a clear association with AUDs severity.
The present study investigated reasons for not seeking treatment on a sample of European primary care patients that were diagnosed with an AUD but did not receive any professional AUDs treatment. We were able to show that the reasons for not seeking treatment were related to AUDs severity. However, half of the patients that fulfilled at least four DSM-5 AUDs criteria in the past 12 months still stated that they did not have a problem with alcohol use requiring treatment. The finding that the main reason for not seeking treatment was a lack of acknowledging the problem was in line with studies from the US . As discussed below, the results indicate a huge potential for prevention when the health care system would address those patients with mild AUDs that are already at increased risk but do not (yet) perceive a need to seek treatment .
The present study showed once more that patients are unlikely to recognize and acknowledge problems related to their alcohol use themselves. Thereby a continuous monitoring of patients’ alcohol use could be useful not only for prevention of a number of physical health consequences but also for the primary as well as secondary prevention of AUDs. A Swedish study investigated frequencies of life style advice in GP settings in a large sample of primary care patients . Across all age groups patients were least likely (only 4.7 % of the patients) to receive advice about alcohol compared to other life style areas like diet, smoking, or exercise.
The screening and monitoring of patients’ blood pressure could serve as a model for routine alcohol use assessment in primary care . The latter practice has furthermore been argued to decrease stigmatization of AUDs : instead of classifying patients into two distinct categories of ‘healthy and diseased’ each patients’ alcohol use behavior would be allocated on a continuum of related risk.
As reported in more detail in other publications [27, 28] the present study showed that GPs were more likely to detect AUDs when they became evident in decreased liver functioning and other physical indicators. Again, with a routine assessment of patients alcohol use, GPs might be able to offer brief interventions before more severe consequences emerge. Brief interventions (in primary care) have been shown to be highly effective and useful in prevention of progression into more severe stages of AUDs, alcohol-related mortality and societal costs [40–43].
The present study also showed that for more severe cases of AUDs, treatment barriers were reported by the majority of the patients as reasons not to seek treatment. This indicates that even once patients acknowledged a need for treatment they might face barriers as a lack of information or high costs. Next to drinking cultures and the extent of stigmatization of AUDs, the treatment systems vary across Europe [44, 45, 9]. Thereby treatment barriers should be investigated in the context of the specific health care system.
The wish not to stop drinking completely was particularly frequent among the treatment barriers reported in this study. Treatment approaches that emphasize goals other than abstinence [46, 47] could be reconsidered for those patients. For example, ‘guided self-change’ (GSC) is a brief cognitive-behavioral motivational intervention designed to assist in recognizing and resolving alcohol-related problems . It includes goal setting, self-monitoring of drinking behavior, analysis of drinking situations, and learning alternate coping skills .
Strengths and weaknesses
This study was one of the largest undertaken to investigate reasons for not seeking treatment on representative samples of primary care patients, with a good refusal rate of below 20 % on the individual level. We were able to investigate reasons for not seeking treatment on a sample that had not yet received treatment for AUDs and thereby varied with respect to AUDs severity and other patient characteristics that tend to be more homogenous among patients in specialized care . Furthermore, this study combined information from open ended and closed questions thus including yet unknown or less investigated reasons. When we compared this study with the only study with a comparable sample size , the present study was able to also investigate 12 months answers which were found to be somehow different from lifetime answers and less prone to memory biases.
The main limitations of the present study were the cross-sectional design, neither allowing any causal interpretation nor clear assessment of temporal sequences as suggested by Saunders’ model. Although the GP’s refusal rate of 56.4 % was considerable, as other studies with register-based random sampling usually have lower response rates [51, 52] it seems overall acceptable. As reported above, the majority of GPs refused study participation for reasons unrelated to this study. However, some GPs reported doubts about releasing patient data despite approval from research ethics boards and assurance of full anonymity and very few GPs were afraid of losing patients given the nature of the study on patients’ alcohol use which is a stigmatized subject . Therefore it cannot be excluded completely that those GPs who refused study participation have a different patient population than the participants of this study. Furthermore, due to the low response rate in the open ended questions we can only speculate about those who did not give any reasons. While we could not find any patient characteristics predictive of reporting a reason for not seeking treatment for lifetime AUDs, participants with a severe AUDs diagnosis were less likely to report a reason as compared to persons with a light AUDs diagnosis. It is possible that those patients with severe AUDs did not report a reason because they did not acknowledge the problem or perceived a higher stigmatization. Overall, as reflected in the decreased likelihood to report any reason for not seeking treatment as well as in the discontinuation of observed trends in the reported reasons, this group of patients seems to be a special group and the respective results should be interpreted with caution.
General health care patients from six European countries were asked for reasons why they did not seek help for AUDs. The study showed that lacking problem awareness was the major reason for not seeking treatment, especially in less severe cases that are however prone to physical harm from heavy drinking . A more regular monitoring of patients’ alcohol consumption and offering brief interventions for individuals with mild AUDs could potentially improve their health and reduce societal harm . For more severe cases treatment barriers were reported more frequently. For these cases GPs could serve as a junction point to specialized care.
Alcohol use disorder
Composite International Diagnostic Interview
Diagnostic and Statistical Manual of Mental Disorders
Alonso J, Angermeyer MC, Bernert S, Bruffaerts R, Brugha IS, Bryson H, et al. Use of mental health services in Europe: results from the European Study of the Epidemiology of Mental Disorders (ESEMeD) project. Acta Neurol Scand. 2004;109:47–54.
Rehm J, Shield K, Rehm MX, Gmel G, Frick U. Alcohol consumption, alcohol dependence and attributable burden of disease in Europe: Potential gains from effective interventions for alcohol dependence. Toronto, Canada: Centre for Addiction and Mental Health; 2012.
Cohen E, Feinn R, Arias A, Kranzler HR. Alcohol treatment utilization: Findings from the national epiderniologic survey on alcohol and related conditions. Drug Alcohol Depend. 2007;86(2–3):214–21.
Shield K, Rylett MJ, Gmel G, Rehm J, World Health Organization Regional Office for Europe. Trends in alcohol consumption and alcohol-attributable mortality in the EU in 2010. In: Status report on alcohol and health in 35 European countries. Copenhagen: WHO Regional Office for Europe; 2013.
Rehm J, Shield KD, Gmel G, Rehm MX, Frick U. Modeling the impact of alcohol dependence on mortality burden and the effect of available treatment interventions in the European Union. Eur Neuropsychopharmacol. 2013;23(2):89–97.
Babor T, Caetano R, Casswell S, Edwards G, Giesbrecht N, Graham K, et al. Alcohol: No Ordinary Commodity: Research and Public Policy. Oxford: Oxford University Press; 2010.
Grant BF. Barriers to alcoholism treatment: Reasons for not seeking treatment in a general population sample. J Stud Alcohol. 1997;58(4):365–71.
Glass JE, Mowbray OP, Link BG, Kristjansson SD, Bucholz KK. Alcohol stigma and persistence of alcohol and other psychiatric disorders: A modified labeling theory approach. Drug Alcohol Depend. 2013;133(2):685–92.
Schomerus G, Lucht M, Holzinger A, Matschinger H, Carta MG, Angermeyer MC. The Stigma of Alcohol Dependence Compared with Other Mental Disorders: A Review of Population Studies. Alcohol Alcohol. 2011;46(2):105–12.
Fortney J, Mukherjee S, Curran G, Fortney S, Han XT, Booth BM. Factors associated with perceived stigma for alcohol use and treatment among at-risk drinkers. J Behav Health Serv Res. 2004;31(4):418–29.
Keyes KM, Hatzenbuehler ML, McLaughlin KA, Link B, Olfson M, Grant BF, et al. Stigma and Treatment for Alcohol Disorders in the United States. Am J Epidemiol. 2010;172(12):1364–72.
Mojtabai R, Chen L-Y, Kaufmann CN, Crum RM. Comparing barriers to mental health treatment and substance use disorder treatment among individuals with comorbid major depression and substance use disorders. J Subst Abuse Treat. 2014;46(2):268–73.
Wallhed Finn S, Bakshi A-S, Andreasson S. Alcohol consumption, dependence, and treatment barriers: perceptions among nontreatment seekers with alcohol dependence. Subst Use Misuse. 2014;49(6):762–9.
Edlund MJ, Unutzer J, Curran GM. Perceived need for alcohol, drug, and mental health treatment. Soc Psychiatry Psychiatr Epidemiol. 2006;41(6):480–7.
Mojtabai R, Crum RM. Perceived unmet need for alcohol and drug use treatments and future use of services: Results from a longitudinal study. Drug Alcohol Depend. 2013;127(1–3):59–64.
Edlund MJ, Booth BM, Feldman ZL. Perceived Need for Treatment for Alcohol Use Disorders: Results From Two National Surveys. Psychiat Serv. 2009;60(12):1618–28.
Saunders SM, Zygowicz KM, D'Angelo BR. Person-related and treatment-related barriers to alcohol treatment. J Subst Abuse Treat. 2006;30(3):261–70.
Harris AHS, Ellerbe L, Reeder RN, Bowe T, Gordon AJ, Hagedorn H, et al. Pharmacotherapy for Alcohol Dependence: Perceived Treatment Barriers and Action Strategies Among Veterans Health Administration Service Providers. Psychol Serv. 2013;10(4):410–9.
Cummings JR, Wen H, Ritvo A, Druss B. Health Insurance Coverage and the Receipt of Specialty Treatment for Substance Use Disorders Among U.S. Adults. Psychiatr Serv. 2014;65(8):1070–3.
Kaufmann CN, Chen L-Y, Crum RM, Mojtabai R. Treatment seeking and barriers to treatment for alcohol use in persons with alcohol use disorders and comorbid mood or anxiety disorders. Soc Psychiatry Psychiatr Epidemiol. 2014;49(9):1489–99.
Saunders SM. Applicants' experience of the process of seeking therapy. Psychother. 1993;30(4):554–64.
Saunders SM. Applicants' experience of social support in the process of seeking psychotherapy. Psychother. 1996;33(4):617–27.
Kessler RC, Aguilar-Gaxiola S, Berglund PA, Caraveo-Anduaga JJ, DeWit DJ, Greenfield SF, et al. Patterns and predictors of treatment seeking after onset of a substance use disorder. Arch Gen Psychiat. 2001;58(11):1065–71.
Cunningham JA, Breslin FC. Only one in three people with alcohol abuse or dependence ever seek treatment. Addict Behav. 2004;29(1):221–3.
Tucker JA, Vuchinich RE, Rippens PD. A factor analytic study of influences on patterns of help-seeking among treated and untreated alcohol dependent persons. J Subst Abuse Treat. 2004;26(3):237–42.
Office of Applied Studies. Alcohol Treatment: Need, Utilization, and Barriers. NSDUH Report. Rockville, MD: Substance Abuse and Mental Health Services Administration. 2009
Rehm J, Allamani A, Vedova RD, Elekes Z, Jakubczyk A, Landsmane I, et al. General Practitioners Recognizing Alcohol Dependence: A Large Cross-Sectional Study in 6 European Countries. Ann Fam Med. 2015;13(1):28–32.
Manthey J, Gual A, Jakubczyk A, Pieper L, Probst C, Struzzo P et al. Alcohol use disorders in Europe: A comparison of general population and primary health care prevalence rates. J Subst Use. 2015, in press.
Rehm J, Allamani A, Elekes Z, Jakubczyk A, Manthey J, Probst C et al. Alcohol dependence and treatment utilization in Europe - a representative cross-sectional study in primary care. BMC Fam Pract. 2015; in press.
Kessler RC, Üstün TB. The World Mental Health (WMH) Survey Initiative version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI). Int J Methods Psychiatr Res. 2004;13(2):93–121.
American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 4th ed. Washington, DC: American Psychiatric Association; 2000.
American Psychiatric Association. Diagnostic and statistical manual of mental disorders: DSM-5. 2013. http://dsm.psychiatryonline.org/book.aspx?bookid=556.
Hsieh HF, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res. 2005;15(9):1277–88.
Fleiss JL, Levin B, Paik MC. Statistical Methods for Rates and Proportions. New Jersey: John Wiley & Sons; 2004
Agresti A. An Introduction to Categorical Data Analysis. 2nd ed. New York: John Wiley & Sons; 2007.
Rehm J, Hingson RW. Measuring the Burden. Alcohol’s evolving impact on individuals, families, and society. Alcohol Res: Current reviews. 2013;35(2):117–8.
Johansson K, Bendtsen P, Akerlind I. Advice to patients in Swedish primary care regarding alcohol and other lifestyle habits: how patients report the actions of GPs in relation to their own expectations and satisfaction with the consultation. Eur J Public Health. 2005;15(6):615–20.
Rehm J, Marmet S, Anderson P, Gual A, Kraus L, Nutt DJ, et al. Defining Substance Use Disorders: Do We Really Need More Than Heavy Use? Alcohol Alcohol. 2013;48(6):633–40.
Schomerus G, Matschinger H, Angermeyer MC. Continuum beliefs and stigmatizing attitudes towards persons with schizophrenia, depression and alcohol dependence. Psychiatry Res. 2013;209(3):665–9.
Cuijpers P, Riper H, Lemmers L. The effects on mortality of brief interventions for problem drinking: a meta-analysis. Addiction. 2004;99(7):839–45.
Kaner EF, Dickinson HO, Beyer FR, Campbell F, Schlesinger C, Heather N, Saunders JB, Burnand B, Pienaar ED. Effectiveness of brief alcohol interventions in primary care populations. Cochrane Database of Systematic Reviews. 2007, Issue 2. Art. No.: CD004148. doi:10.1002/14651858.CD004148.pub3.
Ballesteros J, Duffy JC, Querejeta I, Arino J, Gonzalez-Pinto A. Efficacy of brief interventions for hazardous drinkers in primary care: Systematic review and meta-analyses. Alcohol Clin Exp Res. 2004;28(4):608–18.
Fleming MF, Mundt MP, French MT, Manwell LB, Stauffacher EA, Barry KL. Brief physician advice for problem drinkers: Long-term efficacy and benefit-cost analysis. Alcohol Clin Exp Res. 2002;26(1):36–43.
Mäkelä P, Gmel G, Grittner U, Kuendig H, Kuntsche S, Bloomfield K, et al. Drinking patterns and their gender differences in Europe. Alcohol Alcohol. 2006;41:I8–I18.
Popova S, Rehm J, Patra J, Zatonski W. Comparing alcohol consumption in central and eastern Europe to other European countries. Alcohol Alcohol. 2007;42(5):465–73.
Rösner S, Hackl-Herrwerth A, Leucht S, Vecchi S, Srisurapanont M, Soyka M. Opioid antagonists for alcohol dependence. Cochrane Database of Systematic Reviews. 2010, Issue 12. Art. No.: CD001867. doi:10.1002/14651858.CD001867.pub3.
Mann K, Bladstrom A, Torup L, Gual A, van den Brink W. Extending the Treatment Options in Alcohol Dependence: A Randomized Controlled Study of As-Needed Nalmefene. Biol Psychiatry. 2013;73(8):706–13.
Saladin ME, Santa Ana EJ. Controlled drinking: more than just a controversy. Curr Opin Psychiatr. 2004;17(3):175–87.
Witkiewitz K, Marlatt GA. Behavioral Therapy Across the Spectrum. Alcohol Res Health. 2011;33(4):313–9.
Rehm J, Allamani A, Aubin H-J, Della Vedova R, Elekes Z, Frick U, et al. People with Alcohol Use Disorders in Specialized Care in Eight Different European Countries. Alcohol Alcohol. 2015;50(3):310–8.
Hann M, Sibbald B. General practitioners’ attitudes towards patients’ health and work. London, UK: Department for Work and Pensions; 2011.
Wittchen HU, Glaesmer H, Marz W, Stalla G, Lehnert H, Zeiher AM, et al. Cardiovascular risk factors in primary care: methods and baseline prevalence rates - the DETECT program. Curr Med Res Opin. 2005;21(4):619–29.
Rehm J, Roerecke M. Reduction of Drinking in Problem Drinkers and All-Cause Mortality. Alcohol Alcohol. 2013;48(4):509–13.
The authors acknowledge all the primary care physicians for their invaluable contributions to this study, as well as Franz Hanschmidt who helped coding the open answers. The study was financially supported by an investigator initiated grant (grant number: 414209) to the last author and the GWT-TUD (Gesellschaft für Wissens- und Technologietransfer der TU Dresden mbh) by Lundbeck A/S. The study sponsor had no role in study design, collection, analysis, and interpretation of data. The views expressed in this article are solely those of the authors and not necessarily those of affiliated institutions or the funder.
The author(s) declare that they have no competing interests. Jürgen Rehm reports grants from GWT-TUD during the conduct of the study and grants, personal fees and being board member (Nalmefene) for Lundbeck outside the submitted work.
All authors contributed to conception and decisions on statistical analysis of the data. CP, JM, and JR developed and applied the coding scheme for open answers. CP performed the statistical analyses and wrote the first draft of the manuscript. JM participated in the coordination of the study. JR supervised the whole working process. All authors contributed to the writing and revision of the manuscript and approved of the submitted version. All authors read and approved the final manuscript.
Ethical review by country. Table S2 Overview on coding for open ended and closed questions on treatment seeking for alcohol use disorders. Table S3 Frequencies, weighted percentages including 95 % confidence intervals (CI) and standardized residuals (Res) for reasons not to seek treatment by country. Refers to patients that were diagnosed with an alcohol use disorder, reported a reason for not seeking treatment, and that did not receive treatment. Multiple reasons per patient were possible. (DOCX 25 kb)
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Probst, C., Manthey, J., Martinez, A. et al. Alcohol use disorder severity and reported reasons not to seek treatment: a cross-sectional study in European primary care practices. Subst Abuse Treat Prev Policy 10, 32 (2015). https://0-doi-org.brum.beds.ac.uk/10.1186/s13011-015-0028-z
- Alcohol use disorder
- Alcohol use disorder severity
- Treatment seeking
- Treatment barrier
- Primary health care
- Health services needs and demand