Prevalence of Hazardous Alcohol Use in a Population With Hypertension in Primary Care
NCT ID: NCT05580549
Last Updated: 2022-10-20
Study Results
Results pending
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
Recruitment Status
UNKNOWN
Total Enrollment
270 participants
Study Classification
OBSERVATIONAL
Study Start Date
2022-03-01
Study Completion Date
2023-12-31
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
The goal of this observational cross-sectional study is to map the prevalence of hazardous alcohol use in 270 adult patients with hypertension in Primary Health Care (PHC). The main question it aims to answer is: What is the prevalence of hazardous alcohol use in a population with hypertension in primary care detected with PEth and AUDIT, analysed in relation to patients with controlled, uncontrolled and treatment resistant hypertension? Participants will, in conjunction with annual control of hypertension with a General Practitioner (GP) at their Primary Health Care Centre (PHCC), visit a study nurse. The study nurse will collect following data: • Physical measurements• Lifestyle habits• Quality of life and demographic data • Drugs for hypertension and comorbidity • Laboratory tests including Phosphatidylethanol (PEth).
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Trial Testing the Effect of Strategies on Performance of Brief Intervention Programmes for Harmful Alcohol Consumption
NCT01501552
Alcoholism
COMPLETED
NA
Project 4: Acute Effects of Alcohol on Learning and Habitization in Healthy Young Adults
NCT01858818
Alcoholism
COMPLETED
Patient Trajectories for Older Adults Admitted to Hospital for Alcohol-related Problems
NCT04164940
Alcohol Consumption
Alcohol; Harmful Use
Health Risk Behaviors
+1 more
RECRUITING
Feasibility Evaluation of a Self-guided Digital Tool for Problematic Alcohol Use
NCT05037630
Alcohol Consumption
COMPLETED
NA
Alcohol and Other Psychoactive Substances in Road Traffic - a Case-control Study
NCT00570518
Prevalence of Psychoactive Substances in Road Traffic
Psychoactive Substances in Accident Involved Drivers
Relative Risk Estimation of Accident Involvement for Impaired Drivers
UNKNOWN
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Hypertension, tobacco smoking, and alcohol use are the three leading risk factors for global disease burden. Treatment of hypertensive disease is important for the prevention of atherosclerotic disease, atrial fibrillation, heart failure, stroke, and dementia. In Sweden 27 % of adults have hypertension and a majority are treated in PHC but only 37 % reach target blood pressure. Alcohol can be one factor behind the low number of goal completion of blood pressure level.
Prevalence of hazardous alcohol use in Sweden is between 10-30 % in adults. Alcohol has an important role for over 200 diagnoses. There is a causal and dose dependent relationship between blood pressure levels and regular alcohol intake. Previous studies have reported hypertension to be attributable to alcohol in a wide range, depending on for example population, sex, and cultural context. But studies about the prevalence of hazardous alcohol use in patients with hypertension is few or even lacking.
General Practitioners (GPs) miss to identify a majority (60-70%) of patients with hazardous alcohol use even though guidelines on hypertension include risk stratification and detection of harmful lifestyle and the fact that general practitioners find it important to talk about alcohol with their patients.
Alcohol Use Disorders Identification Test (AUDIT) is a validated screening test for hazardous and harmful use in PHC setting, although concerns have been raised to its sensitivity. GPs experience that patient underestimate their consumption and that AUDIT does not meet the requirements to be a useful tool to detect hazardous alcohol use and AUDIT is seldomly used in PHC.
The alcohol biomarker Phosphatidylethanol (PEth) has high sensitivity and specificity to detect alcohol use. PEth can detect chronic heavy consumption. PEth is one of the newest alcohol biomarkers, but despite promising characteristics of PEth it is not routinely applied in clinical practice. PEth is used in a variety of settings like addiction care, emergency rooms, treatment of HIV-patients and patients with liver disease. PEth has started to be used in PHC but few studies on the use of biomarkers for alcohol consumption have been carried out in PHC.
The Swedish National Board of Health and Welfare has presented methods to use for supporting patients to change hazardous alcohol use. First the GPs need to identify if the patient has hazardous alcohol use. To our knowledge studies on whether PEth is a useful tool to detect hazardous use in patients with hypertension, in a primary health care context, is scarce or missing.
Study design
Based on that 12% of the hypertensive patients is related to alcohol intake and a presumed prevalence of hazardous drinking of 15 % the required sample size, given an effect size of 21%, significance level 5%, and power of 80% using contingency tables with 2 degrees of freedom, the study will require 270 patients with an included 10 % to compensate for missing values.
To perform an effective recruitment of patients we will invite patients from three well-functioning PHCCs with approximately 15.000 listed patients. Criteria for well-functioning is stable management and staff, routines for handling hypertension as well as unhealthy life-style habits and ability to offer locals for the project. By using the tool Medrave4 all patients 30-85 years old with hypertension (ICD-10 diagnose code I10.9) will be extracted from the PHCCs. The patients will be stratified to three groups of hypertension: •Controlled (blood pressure \< 140/90), •Uncontrolled (blood pressure ≥ 140/90) and, •Treatment resistant hypertension (≥ 140/90 with three or more drugs against hypertension). Strata groups will be randomised, and the patients will be invited top to bottom. Recruitment will stop when 30 patients from each group has been included.
The PHCCs operations manager invites patients by letter. Patients have the opportunity to register their interest in participating in the study by letter or phone. Patients can also notify that they do not wish to be contacted. After 2-3 weeks the study nurse calls the patients and ask if they want to participate. The study nurse makes an initial assessment of the inclusion and exclusion criteria over the phone.
At the visit with the study nurse the final assessment of inclusion and exclusion criteria will be made. Finally the patients will be included after written informed consent. At the visit following data will be collected and stored at the digital platform REDCap:• Physical measurements (Blood pressure, pulse, weight, height, and waist measurement) • Lifestyle habits ( Alcohol, tobacco, food, and physical activity) • Quality of life (EQ-5D-5L) •Comorbidity with relevance to hypertension (Diabetes type 1 or 2, atrial fibrillation, angina pectoris, heart failure, myocardial infarction, stroke, and Transient ischemic attack) • Socioeconomic data (year of birth, gender, education, employment, occupation, people in the household) • Drugs for hypertension (Beta blockers, Calcium blockers, Thiazides, ACE inhibitors, ARB blockers, and Potassium-sparing diuretic) • Blood- and urine tests for hypertension and Phosphatidylethanol (PEth).
Patients will then visit their GP for an usual annual control of hypertension. The patients will receive results of blood tests and if needed adjustment of treatment will be done. Study nurse and GPs will talk about life style factors, including alcohol, with the patient. If hazardous alcohol use they will give short advice and offer more support if the patient needs and wants it. Before the start of the study GPs from the PHCCs will attend a short education of how to interpret PEth and AUDIT.
Detection of hazardous alcohol use, by the two methods PEth and AUDIT, will be described in the three strata (controlled, uncontrolled and treatment resistant hypertension) of the whole cohort. We will adjust for possible confounders (lifestyle factors, socio-economic data and patients' perceived health). We will relate our calculations to established risk stratification models for cardiovascular disease. All patients with hypertension and the drop-out population will be analysed according to what is ethically possible. Usual statistical presentation methods based on the scale level of collected data and other properties will be used.
Prevalence of hazardous alcohol use in Sweden is between 10-30 % in adults. Alcohol has an important role for over 200 diagnoses. There is a causal and dose dependent relationship between blood pressure levels and regular alcohol intake. Previous studies have reported hypertension to be attributable to alcohol in a wide range, depending on for example population, sex, and cultural context. But studies about the prevalence of hazardous alcohol use in patients with hypertension is few or even lacking.
General Practitioners (GPs) miss to identify a majority (60-70%) of patients with hazardous alcohol use even though guidelines on hypertension include risk stratification and detection of harmful lifestyle and the fact that general practitioners find it important to talk about alcohol with their patients.
Alcohol Use Disorders Identification Test (AUDIT) is a validated screening test for hazardous and harmful use in PHC setting, although concerns have been raised to its sensitivity. GPs experience that patient underestimate their consumption and that AUDIT does not meet the requirements to be a useful tool to detect hazardous alcohol use and AUDIT is seldomly used in PHC.
The alcohol biomarker Phosphatidylethanol (PEth) has high sensitivity and specificity to detect alcohol use. PEth can detect chronic heavy consumption. PEth is one of the newest alcohol biomarkers, but despite promising characteristics of PEth it is not routinely applied in clinical practice. PEth is used in a variety of settings like addiction care, emergency rooms, treatment of HIV-patients and patients with liver disease. PEth has started to be used in PHC but few studies on the use of biomarkers for alcohol consumption have been carried out in PHC.
The Swedish National Board of Health and Welfare has presented methods to use for supporting patients to change hazardous alcohol use. First the GPs need to identify if the patient has hazardous alcohol use. To our knowledge studies on whether PEth is a useful tool to detect hazardous use in patients with hypertension, in a primary health care context, is scarce or missing.
Study design
Based on that 12% of the hypertensive patients is related to alcohol intake and a presumed prevalence of hazardous drinking of 15 % the required sample size, given an effect size of 21%, significance level 5%, and power of 80% using contingency tables with 2 degrees of freedom, the study will require 270 patients with an included 10 % to compensate for missing values.
To perform an effective recruitment of patients we will invite patients from three well-functioning PHCCs with approximately 15.000 listed patients. Criteria for well-functioning is stable management and staff, routines for handling hypertension as well as unhealthy life-style habits and ability to offer locals for the project. By using the tool Medrave4 all patients 30-85 years old with hypertension (ICD-10 diagnose code I10.9) will be extracted from the PHCCs. The patients will be stratified to three groups of hypertension: •Controlled (blood pressure \< 140/90), •Uncontrolled (blood pressure ≥ 140/90) and, •Treatment resistant hypertension (≥ 140/90 with three or more drugs against hypertension). Strata groups will be randomised, and the patients will be invited top to bottom. Recruitment will stop when 30 patients from each group has been included.
The PHCCs operations manager invites patients by letter. Patients have the opportunity to register their interest in participating in the study by letter or phone. Patients can also notify that they do not wish to be contacted. After 2-3 weeks the study nurse calls the patients and ask if they want to participate. The study nurse makes an initial assessment of the inclusion and exclusion criteria over the phone.
At the visit with the study nurse the final assessment of inclusion and exclusion criteria will be made. Finally the patients will be included after written informed consent. At the visit following data will be collected and stored at the digital platform REDCap:• Physical measurements (Blood pressure, pulse, weight, height, and waist measurement) • Lifestyle habits ( Alcohol, tobacco, food, and physical activity) • Quality of life (EQ-5D-5L) •Comorbidity with relevance to hypertension (Diabetes type 1 or 2, atrial fibrillation, angina pectoris, heart failure, myocardial infarction, stroke, and Transient ischemic attack) • Socioeconomic data (year of birth, gender, education, employment, occupation, people in the household) • Drugs for hypertension (Beta blockers, Calcium blockers, Thiazides, ACE inhibitors, ARB blockers, and Potassium-sparing diuretic) • Blood- and urine tests for hypertension and Phosphatidylethanol (PEth).
Patients will then visit their GP for an usual annual control of hypertension. The patients will receive results of blood tests and if needed adjustment of treatment will be done. Study nurse and GPs will talk about life style factors, including alcohol, with the patient. If hazardous alcohol use they will give short advice and offer more support if the patient needs and wants it. Before the start of the study GPs from the PHCCs will attend a short education of how to interpret PEth and AUDIT.
Detection of hazardous alcohol use, by the two methods PEth and AUDIT, will be described in the three strata (controlled, uncontrolled and treatment resistant hypertension) of the whole cohort. We will adjust for possible confounders (lifestyle factors, socio-economic data and patients' perceived health). We will relate our calculations to established risk stratification models for cardiovascular disease. All patients with hypertension and the drop-out population will be analysed according to what is ethically possible. Usual statistical presentation methods based on the scale level of collected data and other properties will be used.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Hypertension
Alcohol Drinking
Alcohol Use, Unspecified
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
Observational Model Type
COHORT
Study Time Perspective
CROSS_SECTIONAL
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Essential Hypertension
A representative sample of adult patients, with hypertension (ICD-10 diagnose code I10.9) from 2-3 PHCC in Stockholm Region, Sweden. Age 30-85 years old.
Alcohol biomarker Phosphatidylethanol (PEth)
Intervention Type
DIAGNOSTIC_TEST
The prevalence of hazardous alcohol use will be mapped through the biomarker PEth and the questionnaire AUDIT.
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Alcohol biomarker Phosphatidylethanol (PEth)
The prevalence of hazardous alcohol use will be mapped through the biomarker PEth and the questionnaire AUDIT.
Intervention Type
DIAGNOSTIC_TEST
Other Intervention Names
Discover alternative or legacy names that may be used to describe the listed interventions across different sources.
Alcohol Use Disorders Identification Test (AUDIT)
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Hypertension ICD-10 code I10.9.
* Age 30-85 years.
* Age 30-85 years.
Exclusion Criteria
* Not able to come to the primary health care centre
* Not understanding swedish
* Not speaking swedish
* Severe disease
* Dementia
* Serious mental illness
* Not understanding swedish
* Not speaking swedish
* Severe disease
* Dementia
* Serious mental illness
Minimum Eligible Age
30 Years
Maximum Eligible Age
85 Years
Eligible Sex
ALL
Accepts Healthy Volunteers
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Karolinska Institutet
OTHER
Sponsor Role
collaborator
Forte
INDUSTRY
Sponsor Role
collaborator
Sophiahemmet University
OTHER
Sponsor Role
collaborator
Region Stockholm
OTHER_GOV
Sponsor Role
lead
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Responsibility Role
SPONSOR
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Lena Lund, PhD
Role: PRINCIPAL_INVESTIGATOR
Region Stockholm
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Region Stockholm
Stockholm, , Sweden
Site Status
RECRUITING
Countries
Review the countries where the study has at least one active or historical site.
Sweden
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
Facility Contacts
Find local site contact details for specific facilities participating in the trial.
References
Explore related publications, articles, or registry entries linked to this study.
Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H, Amann M, Anderson HR, Andrews KG, Aryee M, Atkinson C, Bacchus LJ, Bahalim AN, Balakrishnan K, Balmes J, Barker-Collo S, Baxter A, Bell ML, Blore JD, Blyth F, Bonner C, Borges G, Bourne R, Boussinesq M, Brauer M, Brooks P, Bruce NG, Brunekreef B, Bryan-Hancock C, Bucello C, Buchbinder R, Bull F, Burnett RT, Byers TE, Calabria B, Carapetis J, Carnahan E, Chafe Z, Charlson F, Chen H, Chen JS, Cheng AT, Child JC, Cohen A, Colson KE, Cowie BC, Darby S, Darling S, Davis A, Degenhardt L, Dentener F, Des Jarlais DC, Devries K, Dherani M, Ding EL, Dorsey ER, Driscoll T, Edmond K, Ali SE, Engell RE, Erwin PJ, Fahimi S, Falder G, Farzadfar F, Ferrari A, Finucane MM, Flaxman S, Fowkes FG, Freedman G, Freeman MK, Gakidou E, Ghosh S, Giovannucci E, Gmel G, Graham K, Grainger R, Grant B, Gunnell D, Gutierrez HR, Hall W, Hoek HW, Hogan A, Hosgood HD 3rd, Hoy D, Hu H, Hubbell BJ, Hutchings SJ, Ibeanusi SE, Jacklyn GL, Jasrasaria R, Jonas JB, Kan H, Kanis JA, Kassebaum N, Kawakami N, Khang YH, Khatibzadeh S, Khoo JP, Kok C, Laden F, Lalloo R, Lan Q, Lathlean T, Leasher JL, Leigh J, Li Y, Lin JK, Lipshultz SE, London S, Lozano R, Lu Y, Mak J, Malekzadeh R, Mallinger L, Marcenes W, March L, Marks R, Martin R, McGale P, McGrath J, Mehta S, Mensah GA, Merriman TR, Micha R, Michaud C, Mishra V, Mohd Hanafiah K, Mokdad AA, Morawska L, Mozaffarian D, Murphy T, Naghavi M, Neal B, Nelson PK, Nolla JM, Norman R, Olives C, Omer SB, Orchard J, Osborne R, Ostro B, Page A, Pandey KD, Parry CD, Passmore E, Patra J, Pearce N, Pelizzari PM, Petzold M, Phillips MR, Pope D, Pope CA 3rd, Powles J, Rao M, Razavi H, Rehfuess EA, Rehm JT, Ritz B, Rivara FP, Roberts T, Robinson C, Rodriguez-Portales JA, Romieu I, Room R, Rosenfeld LC, Roy A, Rushton L, Salomon JA, Sampson U, Sanchez-Riera L, Sanman E, Sapkota A, Seedat S, Shi P, Shield K, Shivakoti R, Singh GM, Sleet DA, Smith E, Smith KR, Stapelberg NJ, Steenland K, Stockl H, Stovner LJ, Straif K, Straney L, Thurston GD, Tran JH, Van Dingenen R, van Donkelaar A, Veerman JL, Vijayakumar L, Weintraub R, Weissman MM, White RA, Whiteford H, Wiersma ST, Wilkinson JD, Williams HC, Williams W, Wilson N, Woolf AD, Yip P, Zielinski JM, Lopez AD, Murray CJ, Ezzati M, AlMazroa MA, Memish ZA. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012 Dec 15;380(9859):2224-60. doi: 10.1016/S0140-6736(12)61766-8.
Reference Type
BACKGROUND
Williams B, Mancia G, Spiering W, Agabiti Rosei E, Azizi M, Burnier M, Clement DL, Coca A, de Simone G, Dominiczak A, Kahan T, Mahfoud F, Redon J, Ruilope L, Zanchetti A, Kerins M, Kjeldsen SE, Kreutz R, Laurent S, Lip GYH, McManus R, Narkiewicz K, Ruschitzka F, Schmieder RE, Shlyakhto E, Tsioufis C, Aboyans V, Desormais I; ESC Scientific Document Group. 2018 ESC/ESH Guidelines for the management of arterial hypertension. Eur Heart J. 2018 Sep 1;39(33):3021-3104. doi: 10.1093/eurheartj/ehy339. No abstract available.
Reference Type
BACKGROUND
Holmquist C, Hasselstrom J, Bengtsson Bostrom K, Manhem K, Wettermark B, Hjerpe P, Kahan T. Improved treatment and control of hypertension in Swedish primary care: results from the Swedish primary care cardiovascular database. J Hypertens. 2017 Oct;35(10):2102-2108. doi: 10.1097/HJH.0000000000001429.
Reference Type
BACKGROUND
Rehm J, Gmel GE Sr, Gmel G, Hasan OSM, Imtiaz S, Popova S, Probst C, Roerecke M, Room R, Samokhvalov AV, Shield KD, Shuper PA. The relationship between different dimensions of alcohol use and the burden of disease-an update. Addiction. 2017 Jun;112(6):968-1001. doi: 10.1111/add.13757. Epub 2017 Feb 20.
Reference Type
BACKGROUND
Puddey IB, Mori TA, Barden AE, Beilin LJ. Alcohol and Hypertension-New Insights and Lingering Controversies. Curr Hypertens Rep. 2019 Sep 7;21(10):79. doi: 10.1007/s11906-019-0984-1.
Reference Type
BACKGROUND
Lang T, Degoulet P, Aime F, Devries C, Jacquinet-Salord MC, Fouriaud C. Relationship between alcohol consumption and hypertension prevalence and control in a French population. J Chronic Dis. 1987;40(7):713-20. doi: 10.1016/0021-9681(87)90108-1.
Reference Type
BACKGROUND
Marchi KC, Muniz JJ, Tirapelli CR. Hypertension and chronic ethanol consumption: What do we know after a century of study? World J Cardiol. 2014 May 26;6(5):283-94. doi: 10.4330/wjc.v6.i5.283.
Reference Type
BACKGROUND
Manthey J, Probst C, Hanschmidt F, Rehm J. Identification of smokers, drinkers and risky drinkers by general practitioners. Drug Alcohol Depend. 2015 Sep 1;154:93-9. doi: 10.1016/j.drugalcdep.2015.06.017. Epub 2015 Jun 22.
Reference Type
BACKGROUND
Hyland K, Hammarberg A, Andreasson S, Jirwe M. Treatment of alcohol dependence in Swedish primary care: perceptions among general practitioners. Scand J Prim Health Care. 2021 Jun;39(2):247-256. doi: 10.1080/02813432.2021.1922834. Epub 2021 Jun 21.
Reference Type
BACKGROUND
Saunders JB, Aasland OG, Babor TF, de la Fuente JR, Grant M. Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption--II. Addiction. 1993 Jun;88(6):791-804. doi: 10.1111/j.1360-0443.1993.tb02093.x.
Reference Type
BACKGROUND
Higgins-Biddle JC, Babor TF. A review of the Alcohol Use Disorders Identification Test (AUDIT), AUDIT-C, and USAUDIT for screening in the United States: Past issues and future directions. Am J Drug Alcohol Abuse. 2018;44(6):578-586. doi: 10.1080/00952990.2018.1456545. Epub 2018 May 3.
Reference Type
BACKGROUND
Tam CW, Zwar N, Markham R. Australian general practitioner perceptions of the detection and screening of at-risk drinking, and the role of the AUDIT-C: a qualitative study. BMC Fam Pract. 2013 Aug 20;14:121. doi: 10.1186/1471-2296-14-121.
Reference Type
BACKGROUND
Nygaard P, Paschall MJ, Aasland OG, Lund KE. Use and barriers to use of screening and brief interventions for alcohol problems among Norwegian general practitioners. Alcohol Alcohol. 2010 Mar-Apr;45(2):207-12. doi: 10.1093/alcalc/agq002. Epub 2010 Jan 25.
Reference Type
BACKGROUND
Ulwelling W, Smith K. The PEth Blood Test in the Security Environment: What it is; Why it is Important; and Interpretative Guidelines. J Forensic Sci. 2018 Nov;63(6):1634-1640. doi: 10.1111/1556-4029.13874. Epub 2018 Jul 13.
Reference Type
BACKGROUND
Andresen-Streichert H, Muller A, Glahn A, Skopp G, Sterneck M. Alcohol Biomarkers in Clinical and Forensic Contexts. Dtsch Arztebl Int. 2018 May 4;115(18):309-315. doi: 10.3238/arztebl.2018.0309.
Reference Type
BACKGROUND
Viel G, Boscolo-Berto R, Cecchetto G, Fais P, Nalesso A, Ferrara SD. Phosphatidylethanol in blood as a marker of chronic alcohol use: a systematic review and meta-analysis. Int J Mol Sci. 2012 Nov 13;13(11):14788-812. doi: 10.3390/ijms131114788.
Reference Type
BACKGROUND
Aakeroy R, Skrastad RB, Helland A, Hilberg T, Aamo T, Dyrkorn R, Spigset O. [New biomarkers for assesing alcohol consumption]. Tidsskr Nor Laegeforen. 2016 Oct 25;136(19):1643-1647. doi: 10.4045/tidsskr.16.0056. eCollection 2016 Oct. Norwegian.
Reference Type
BACKGROUND
Topic A, Djukic M. Diagnostic characteristics and application of alcohol biomarkers. Clin Lab. 2013;59(3-4):233-45.
Reference Type
BACKGROUND
Miller PM, Anton RF. Biochemical alcohol screening in primary health care. Addict Behav. 2004 Sep;29(7):1427-37. doi: 10.1016/j.addbeh.2004.06.013.
Reference Type
BACKGROUND
Holte M, Holmen J. Program for data extraction in primary health records: a valid tool for knowledge production in general practice? BMC Res Notes. 2020 Jan 10;13(1):23. doi: 10.1186/s13104-020-4887-7.
Reference Type
BACKGROUND
Carlsson AC, Wandell P, Osby U, Zarrinkoub R, Wettermark B, Ljunggren G. High prevalence of diagnosis of diabetes, depression, anxiety, hypertension, asthma and COPD in the total population of Stockholm, Sweden - a challenge for public health. BMC Public Health. 2013 Jul 18;13:670. doi: 10.1186/1471-2458-13-670.
Reference Type
BACKGROUND
Related Links
Access external resources that provide additional context or updates about the study.
https://www.socialstyrelsen.se/en/
The National Board of Health and Welfare 2018: National guidelines for disease prevention methods
https://www.can.se/publikationer/sjalvrapporterade-alkoholvanor-i-sverige-2004-2020/
The Central Association for Alcohol and Narcotic Information (CAN): Self-reported alcohol habits in Sweden 2004-2020. CAN report 204
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
SLSO2022-0143
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.
ASAP Study - Hospital-Based Brief Intervention for Alcohol Problems
NCT00183105
COMPLETED
PHASE3
Risk and Protective Factors of Children and Adolescents Who Were Hospitalized Due to Alcohol Intoxication
NCT01692054
COMPLETED
Brief Alcohol Interventions With Mobile Phone Applications for University Students: A Randomized Controlled Trial
NCT01958398
COMPLETED
NA
Randomized Controlled Trial of eScreen for Problematic Alcohol Use
NCT01544803
COMPLETED
PHASE2
Implementing Screening and Brief Interventions for Excessive Drinkers in Primary Health Care
NCT02968186
COMPLETED
NA
Identifying and Managing Alcohol-related Health Problems in General Practice
NCT04725552
COMPLETED
NA
The Impact of Alcohol Consumption on Tuberculosis Treatment Outcomes
NCT02840877
COMPLETED
NA
The Effect of a Interdisciplinary Alcohol Cessation Intervention
NCT01208571
UNKNOWN
NA
Examination of Whether an Exercise Programme Reduces Alcohol Consumption Among Alcohol-Dependent Adults
NCT03848000
COMPLETED
NA
Skills-training for Reducing Risky Alcohol Use in App Form
NCT03696888
COMPLETED
NA
Brief Alcohol Intervention in General Hospitals
NCT00423904
COMPLETED
PHASE2
AURAIA Study : Impact Evaluation at 3 Months Follow-up of a Brief Motivational Intervention in Reducing Alcohol Consumption Among Adolescents Aged 16-24 in Pontchaillou Hospital Emergency Department in Rennes, France
NCT01435668
COMPLETED
NA
Effects of Acute Exercise on Various Parameters in Individuals With Alcohol Use Disorders
NCT02664727
COMPLETED
NA
Screening and Brief-Intervention of Post-war Alcohol Consumption in Public Hospital Outpatients
NCT06918106
RECRUITING
NA
Project RAP: Reaching Adolescents for Prevention
NCT00183157
UNKNOWN
PHASE2
Efficiency of Prevention Program Dedicated to Addictive Behaviors (PREVENTURE) of Vulnerable Teenagers
NCT04599270
RECRUITING
NA
Brief Intervention and Fibroscan for Harmful Drinkers Presenting to the Emergency Department
NCT05720247
UNKNOWN
NA
Improving Help-seeking Propensity Through a Micro-intervention Targeting Common Concerns Among Individuals With Alcohol Problems: A Randomized Controlled Experiment
NCT06675812
ACTIVE_NOT_RECRUITING
NA
Engaging General Practice in the Prevention of Patients With Alcohol Problems
NCT00298220
COMPLETED
NA
Two Consecutive Randomized Controlled Trials Using Mobile Phone Applications for Risky Alcohol Use
NCT02064998
COMPLETED
NA
Examining the Relationship Between Physical Activity Levels and Chronotype Tendencies in Individuals With Alcohol Dependence
NCT06850428
RECRUITING
Alcohol Drinking as a Vital Sign
NCT01135654
COMPLETED
NA
Effectiveness of Repeated MOTivational InterVention to Reduce Ethanol Intake During prEgnancy
NCT04275570
UNKNOWN
NA
Randomized Trial of a Smartphone App Designed to Reduce Unhealthy Alcohol Consumption
NCT04745325
COMPLETED
NA
Peer-Led Intervention To Reduce Alcohol Binge Drinking Among University Students In Romania
NCT07193030
NOT_YET_RECRUITING
NA