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      Estimating the prevalence of alcohol-related disorders and treatment utilization in Bremen 2016/2017 through routine data linkage

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          Abstract

          Background

          In Germany, most individuals with alcohol dependence are recognized by the health care system and about 16% per year receive addiction-specific care. This paper aimed to analyze the prevalence and treatment utilization rate of people with alcohol dependence by type of addiction-specific care in the federal state of Bremen using routine and survey data.

          Methods

          The number of individuals with alcohol dependence was estimated using data from the 2018 Epidemiological Survey of Substance Abuse (ESA). Furthermore, linked routine data of two statutory health insurances (SHIs), the German pension insurance (GPI), and the communal hospital group Gesundheit Nord – Bremen Hospital Group (GeNo), from 2016/2017, were analyzed. Based on SHI data, the administrative prevalence of various alcohol-related diagnoses according to the International Classification of Diseases (ICD-10), in various treatment settings, was extrapolated to the total population of Bremen. Based on all routine data sources, treatment and care services for individuals with alcohol dependence were also extrapolated to Bremen’s total population. Care services included outpatient addiction care visits and addiction-specific treatments, [i.e., qualified withdrawal treatment (QWT), outpatient pharmacotherapy as relapse prevention, and rehabilitation treatment].

          Results

          Of the survey-estimated 15,792 individuals with alcohol dependence in Bremen, 72.4% ( n = 11,427) had a diagnosis documented with an ICD-10 code for alcohol dependence (F10.2) or withdrawal state (F10.3–4). One in 10 individuals with alcohol dependence ( n = 1,577) used one or more addiction-specific care services during the observation period. Specifically, 3.7% ( n = 675) received outpatient addiction care, 3.9% ( n = 736) initiated QWT, 0.8% ( n = 133) received pharmacotherapy, and 2.6% ( n = 405) underwent rehabilitation treatment. The share of seeking addiction-specific treatment after diagnosis was highest among younger and male patients.

          Conclusion

          Although more than half of the individuals with alcohol dependence are documented in the health system, utilization rates of addiction-specific treatments are low. These low utilization rates suggest that there are existing barriers to transferring patients with alcohol dependence into addiction-specific care. Strengthening primary medical care provision in dealing with alcohol-related disorders and improving networking within the addiction support system appear to be particularly appropriate.

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          Most cited references54

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          The treatment gap in mental health care.

          Mental disorders are highly prevalent and cause considerable suffering and disease burden. To compound this public health problem, many individuals with psychiatric disorders remain untreated although effective treatments exist. We examine the extent of this treatment gap. We reviewed community-based psychiatric epidemiology studies that used standardized diagnostic instruments and included data on the percentage of individuals receiving care for schizophrenia and other non-affective psychotic disorders, major depression, dysthymia, bipolar disorder, generalized anxiety disorder (GAD), panic disorder, obsessive-compulsive disorder (OCD), and alcohol abuse or dependence. The median rates of untreated cases of these disorders were calculated across the studies. Examples of the estimation of the treatment gap for WHO regions are also presented. Thirty-seven studies had information on service utilization. The median treatment gap for schizophrenia, including other non-affective psychosis, was 32.2%. For other disorders the gap was: depression, 56.3%; dysthymia, 56.0%; bipolar disorder, 50.2%; panic disorder, 55.9%; GAD, 57.5%; and OCD, 57.3%. Alcohol abuse and dependence had the widest treatment gap at 78.1%. The treatment gap for mental disorders is universally large, though it varies across regions. It is likely that the gap reported here is an underestimate due to the unavailability of community-based data from developing countries where services are scarcer. To address this major public health challenge, WHO has adopted in 2002 a global action programme that has been endorsed by the Member States.
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            R: a language and environment for statistical computing.

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              Alcohol use disorder severity and reported reasons not to seek treatment: a cross-sectional study in European primary care practices

              Background 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. Methods 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. Results 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. Conclusions 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. Electronic supplementary material The online version of this article (doi:10.1186/s13011-015-0028-z) contains supplementary material, which is available to authorized users.
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                Author and article information

                Contributors
                Journal
                Front Psychiatry
                Front Psychiatry
                Front. Psychiatry
                Frontiers in Psychiatry
                Frontiers Media S.A.
                1664-0640
                26 January 2023
                2023
                : 14
                : 1002526
                Affiliations
                [1] 1Department of Epidemiology and Diagnostics, Institut für Therapieforschung (IFT), Centre for Mental Health and Addiction Research , Munich, Germany
                [2] 2Department of Psychiatry and Psychotherapy, University Hospital, Ludwig-Maximilians-Universität Munich , Munich, Germany
                [3] 3Department of Psychiatry and Psychotherapy, Center for Interdisciplinary Addiction Research, University Medical Center Hamburg-Eppendorf , Hamburg, Germany
                [4] 4Department of Medical Psychology, Center for Health Care Research, University Medical Center Hamburg-Eppendorf , Hamburg, Germany
                [5] 5Department of Psychiatry, Medical Faculty, University of Leipzig , Leipzig, Germany
                [6] 6Zentrum für Psychosoziale Medizin, Klinikum Itzehoe , Itzehoe, Germany
                [7] 7Department of Public Health Sciences, Centre for Social Research on Alcohol and Drugs, Stockholm University , Stockholm, Sweden
                [8] 8Institute of Psychology, Eötvös Loránd University (ELTE) , Budapest, Hungary
                Author notes

                Edited by: Morten Hesse, Aarhus University, Denmark

                Reviewed by: Anne Koopmann, Universität Heidelberg, Germany; Ellen Amundsen, Norwegian Institute of Public Health (NIPH), Norway

                *Correspondence: Ludwig Kraus, ludwig.kraus@ 123456su.se

                This article was submitted to Addictive Disorders, a section of the journal Frontiers in Psychiatry

                Article
                10.3389/fpsyt.2023.1002526
                9909027
                f86e3d98-7a4d-4baf-98d0-290b29ddbebf
                Copyright © 2023 Möckl, Lindemann, Manthey, Schulte, Reimer, Pogarell and Kraus.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 25 July 2022
                : 03 January 2023
                Page count
                Figures: 4, Tables: 2, Equations: 0, References: 54, Pages: 11, Words: 8069
                Funding
                The 2018 Epidemiological Survey of Substance Abuse (ESA) (AZ: ZMVI1-2517DSM200) and the IMPELA Project (AZ: ZMVI1-2517DMS227) were funded by the Federal Ministry of Health (BMG). There are no conditions attached to the funding.
                Categories
                Psychiatry
                Original Research

                Clinical Psychology & Psychiatry
                alcohol dependence,treatment utilization,data linkage,routine data,epidemiology

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