ARCHETYPE Alcohol consumption summary (openEHR-EHR-EVALUATION.alcohol_consumption_summary.v1)

ARCHETYPE IDopenEHR-EHR-EVALUATION.alcohol_consumption_summary.v1
ConceptAlcohol consumption summary
DescriptionSummary or persistent information about the typical alcohol consumption of an individual.
Use

Use to record summary information about the individual's typical pattern of alcohol consumption.

This archetype is to be used to record information about both current and previous alcohol consumption.

The specific scope of this archetype is about documentation about all types of alcohol consumed or ingested by an individual, because of the associated health risks.

The history of waxing and waning of consumption for each type of alcohol over time can be captured using the repeatable 'Per episode' cluster.

Triggers for closing one episode and commencing a new one will largely reflect local data collection preferences, including if the individual:

  • quits for a significant period of time (which will likely be locally defined); or
  • significantly changes the amount or the pattern of alcohol consumption.

The 'Per type' cluster of data elements allows for recording of specific details about each type of alcohol consumed, and can be repeated for every type alcoholic beverage consumed in the actual episode. The element 'Type' identifies the type of alcohol, either as a free text or coded text with a defined valueset.

In many situations the individual will only consume one type of alcohol, such as beer. If other types of alcohol are consumed, the details will be recorded in another instance of the 'Per type' cluster.

Use to incorporate the narrative descriptions of alcohol consumption within existing or legacy clinical systems into an archetyped format, using the 'Overall description' data element.

MisuseNot to be used to record event-or period-based information about alcohol drinking, such as actual daily drinking/binging or the average drinking over a specified period of time - use the OBSERVATION.alcohol_intake archetype. Not to be used to record an assessment about alcohol dependence. Use specific archetypes for this purpose - for example OBSERVATION.audit. Not to be used to record administration of alcohol by other routes, such as inhalation.
PurposeTo record summary information about the individual's typical pattern of alcohol consumption.
ReferencesDerived from: Tobacco smoking summary, Published Archetype [Internet]. openEHR Foundation, openEHR Clinical Knowledge Manager [cited: 2018-11-27]. Available from: http://openehr.org/ckm/#showArchetype_1013.1.2466.
Copyright© openEHR Foundation, Australian Digital Health Agency, Nasjonal IKT (Norway)
AuthorsAuthor name: Heather Leslie
Organisation: Atomica Informatics
Email: heather.leslie@atomicainformatics.com
Date originally authored: 2009-06-21
Other Details LanguageAuthor name: Heather Leslie
Organisation: Atomica Informatics
Email: heather.leslie@atomicainformatics.com
Date originally authored: 2009-06-21
Other Details (Language Independent)
  • Licence: This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/4.0/.
  • Custodian Organisation: openEHR Foundation
  • References: Derived from: Tobacco smoking summary, Published Archetype [Internet]. openEHR Foundation, openEHR Clinical Knowledge Manager [cited: 2018-11-27]. Available from: http://openehr.org/ckm/#showArchetype_1013.1.2466.
  • Current Contact: Heather Leslie, Atomica Informatics
  • Original Namespace: org.openehr
  • Original Publisher: openEHR Foundation
  • Custodian Namespace: org.openehr
  • MD5-CAM-1.0.1: F98919119C3453EF0E0A3286A90AA20C
  • Build Uid: 4a795c08-43bc-4fe1-b5a5-855b56b02425
  • Revision: 1.0.7
Keywordsdrinking, drunk, dipsomania, alcoholic, alcoholism
Lifecyclepublished
UID71ef98e0-22d6-4548-a375-251cb5d776da
Language useden
Citeable Identifier1246.145.922
Revision Number1.0.7
protocol
ExtensionExtension: Additional information required to capture local content or to align with other reference models/formalisms.
For example: local information requirements or additional metadata to align with FHIR or CIMI equivalents.
Include:
All not explicitly excluded archetypes
Quit date definitionQuit date definition: The applied definition for the 'Quit date' data elements used in this archetype.
Quit attempt definitionQuit attempt definition: The applied definition for a Quit attempt used to determine value for the 'Number of quit attempts' data element used in this archetype.
For example: 'stopped consuming alcohol for one day or longer with the intention of quitting'.
Current drinker definitionCurrent drinker definition: The applied definition for the 'Current drinker' value in each of the 'Status' data elements used in this archetype.
Former drinker definitionFormer drinker definition: The applied definition for the 'Former drinker' value in each of the 'Status' data elements used in this archetype.
Lifetime non-drinker definitionLifetime non-drinker definition: The applied definition for the 'Lifetime non-drinker' value in each of the 'Status' data elements used in this archetype.
Alcohol unit definition (mass)Alcohol unit definition (mass): Mass of alcohol defining a standard drink or alcohol unit as used in the 'Typical drinking (alcohol units)' element in this archetype.
Property: Mass
Units:
  • >=0.0 g
    Limit decimal places: 0
  • >=0.0 oz (avoirdupois)
    Limit decimal places: 1
Last updatedLast updated: The date this alcohol consumption summary was last updated.
data
Overall statusOverall status: Statement about current consumption for all types of alcohol.
  • Current drinker [Individual is a current consumer of alcohol.]
  • Former drinker [Individual has previously consumed alcohol but is not a current drinker.]
  • Lifetime non-drinker [Individual has never consumed alcohol.]
Overall descriptionOverall description: Narrative summary about the individual's overall alcohol consumption pattern and history.
Use this data element to record a narrative description of alcohol drinking habits for this individual or to incorporate unstructured alcohol drinking information from existing or legacy clinical systems into an archetyped format.
Regular consumption commencedRegular consumption commenced: The date or partial date when the individual first started frequent or regular, but usually non-daily, consumption of alcohol.
This data element is recording when a regular pattern of drinking commenced, rather than the first ever taste of alcohol. The first taste could be at a very young age and then no drinking until mid teens. In this case it is the pattern in the mid teens that is clinically significant. To differentiate between patterns of drinking, that has to be recorded in other elements in this archetype, for example in the 'Per episode' section.
Daily consumption commencedDaily consumption commenced: The date or partial date when the individual first started consuming alcohol on a daily basis.
Can be a partial date, for example, only a year.
Date first intoxicatedDate first intoxicated: The date or partial date when the individual became intoxicated for the first time.
This data point is not intended to record an accidental intoxication but to identify when a behaviour pattern of harmful consumption may have commenced.
Per episodePer episode: Details about a discrete period of time with a consistent pattern of typical consumption.
StatusStatus: Statement about current alcohol drinking behaviour.
  • Current drinker [Individual consumed alcohol during this period.]
  • Non-drinker [Individual has not consumed alcohol during this episode.]
Episode descriptionEpisode description: Narrative summary about the individual's overall pattern of alcohol consumption during the specified episode.
For example: details about binge drinking pattern.
Episode labelEpisode label: Identification of an episode of alcohol consumption - either as a number in a sequence and/or a named event.
For example: '2' as the second episode within a sequence of episodes; 'Life-long'; or 'Pregnancy with twins' if describing the alcohol consumption during a health event such as during a specific pregnancy.
Choice of:
  •  Count
    min: >=1

  •  Text
Episode start dateEpisode start date: Date when this episode commenced.
Can be a partial date, for example, only a year.
Episode end dateEpisode end date: Date when this episode ceased.
Can be a partial date, for example, only a year. This data field will be empty if the episode is current and ongoing.
PatternPattern: The typical pattern of consumption of alcohol.
The typical pattern of use can be made more granular by coding with a terminology or a local value set in a template.
Choice of:
  •  Coded Text
    • Daily [Consuming alcoholic beverage at least once every day.]
    • Non-daily [Not consuming alcoholic beverage every day.]
  •  Text
Binge drinking frequencyBinge drinking frequency: The individual's typical frequency of heavy drinking over a short period of time with the intent of becoming intoxicated.
Choice of:
  •  Quantity
    Units:
    • 0.0..7.0 1/wk
      Limit decimal places: 0
    • 0.0..31.0 1/mo
      Limit decimal places: 0
    • 0.0..365.0 1/a
      Limit decimal places: 0
  •  Interval of Quantity
    Lower: Units:
    • 0.0..7.0 1/wk
      Limit decimal places: 0
    • 0.0..31.0 1/mo
      Limit decimal places: 0
    • 0.0..365.0 1/a
      Limit decimal places: 0

    Upper: Units:
    • 0.0..7.0 1/wk
      Limit decimal places: 0
    • 0.0..31.0 1/mo
      Limit decimal places: 0
    • 0.0..365.0 1/a
      Limit decimal places: 0

Binge drinking descriptionBinge drinking description: Narrative description about the individual's typical pattern of binge drinking.
Alcohol free daysAlcohol free days: The number of days where no alcohol was consumed in the specified period.
Property: Frequency
Units:
  • 0.0..<7.0 1/wk
    Limit decimal places: 0
  • 0.0..<31.0 1/mo
    Limit decimal places: 0
Typical consumption (alcohol units)Typical consumption (alcohol units): Estimate of number of alcohol units consumed.
Units:
  • >=0.0 1/d
    Limit decimal places: 1
  • >=0.0 1/wk
    Limit decimal places: 1
  • >=0.0 1/mo
    Limit decimal places: 1
Per typePer type: Details about consumption of a specified type of alcohol.
TypeType: The name of the specific type or grouping of alcohol.
Use of the coded text option is preferrable when possible. Alternatively, it's possible to use a local valueset or terminologi to record specific types of alcoholic beverages. For example: red or white wine; brandy or whisky; normal or low alcohol beer; or denatured alcohol (methylated spirits) as a specific form of rectified spirits.
Choice of:
  •  Text
  •  Coded Text
    • Beer [Fermented beverage made from grain mash.]
    • Wine [Fermented beverage made from grapes and sometimes other fruits.]
    • Cider [Fermented beverage made from any fruit juice.]
    • Mead [Fermented beverage made from honey, sometimes with various fruits spices, grains or hops.]
    • Pulque [Fermented beverage made from 'honey water" of cacti.]
    • Spirits [Fermented beverage made by a distillation process. Usually has an alcohol content >20%. Includes liquers, cocktails and rectified spirits.]
    • Fortified wine [Wine with added spirits.]
DescriptionDescription: Narrative summary about alcohol consumption for the specified type of alcohol.
Typical consumption (alcohol units)Typical consumption (alcohol units): Estimate of number of standard drinks of the specified type of alcohol consumed.
The definition of an Alcohol unit can be recorded in the Protocol.
Units:
  • >=0.0 1/d
    Limit decimal places: 1
  • >=0.0 1/wk
    Limit decimal places: 1
  • >=0.0 1/mo
    Limit decimal places: 1
Type detailsType details: Additional structured details about the consumption of the specified alcohol.
Include:
All not explicitly excluded archetypes
CommentComment: Additional narrative about consumption of the specified type of alcohol, not captured in other fields.
Number of quit attemptsNumber of quit attempts: Total number of times the individual has attempted to stop consuming alcohol within this episode.
min: >=0

Quit dateQuit date: Date when the individual last consumed alcohol.
Can be a partial date, for example, only a year. Definitions for a 'Quit date' vary enormously and can be defined using the 'Quit data definition' data element in the Protocol section of this archetype. This date will be identical to the 'Episode end date' for the most recent episode. This date could be used by decision support guidance to determine if the individual is at risk of relapse, for example in the first 12 months since quitting.
Episode detailsEpisode details: Additional structured details about the specified episode of alcohol consumption.
Include:
openEHR-EHR-CLUSTER.cessation_attempts.v1 and specialisations
Episode commentEpisode comment: Additional narrative about alcohol consumption during the specified episode, not captured in other fields.
For example: alcohol consumed as a hangover remedy eg 'hair of the dog'.
Overall detailsOverall details: Additional structured details about the overall alcohol consumption.
Include:
All not explicitly excluded archetypes
Overall quit dateOverall quit date: The date when the individual last ceased consuming alcohol of any type.
Can be a partial date, for example, only a year. This date could be used by decision support guidance to determine if the individual is at risk of relapse, for example in the first 12 months since quitting.
Overall commentOverall comment: Additional narrative about all alcohol consumption that has not been captured in other fields.
Other contributorsAmund Aakerholt, Helse Stavanger, KORFOR, Norway
Morten Aas, Oslo Universitetssykehus, Norway
Tomas Alme, DIPS ASA, Norway
Ole Andreas Bjordal, Webmed, Norway
Rita Apelt, Department of Health,NT, Australia
Vebjørn Arntzen, Oslo University Hospital, Norway (openEHR Editor)
Koray Atalag, University of Auckland, New Zealand
Gustavo Bacelar-Silva, Healthcare Designs, Brazil (openEHR Editor)
Silje Ljosland Bakke, Nasjonal IKT HF, Norway (openEHR Editor)
Marcus Baw, openGPSoC / BawMedical Ltd, United Kingdom
Kristian Berg, Universitetssykehuset Nord Norge, Norway
Lars Bitsch-Larsen, Haukeland University Hospital, Bergen, Norway
Fredrik Borchsenius, Oslo universitetssykehus, Norway
Chris Bullen, University of Auckland, New Zealand
Fatemeh Chalabianloo, Helse Bergen, Norway
Bjørn Christensen, Helse Bergen HF, Norway
Stephen Chu, NEHTA, Australia
Lisbeth Dahlhaug, Helse Midt - Norge IT, Norway
Are Edvardsen, SKDE, Norway
Einar Fosse, UNN HF, Norwegian Centre for Integrated Care and Telemedicine, Norway
Hildegard Franke, freshEHR Clinical Informatics Ltd., United Kingdom
Heather Grain, Llewelyn Grain Informatics, Australia
Liv Grøtvedt, Folkehelseinstituttet, Norway
Sam Heard, Ocean Informatics, Australia
Kristian Heldal, Telemark Hospital Trust, Norway
Jørn Henrik Vold, Helse Bergen, Avdeling for rusmedisin, Norway
Anca Heyd, DIPS ASA, Norway
Evelyn Hovenga, EJSH Consulting, Australia
Tom Jarl Jakobsen, Helse Bergen, Norway
Lars Morgan Karlsen, DIPS ASA, Norway
Stelios Joseph Karras, Ergobyte, Greece
Adriana Kitajima, CORE Consulting, Brazil
Nils Kolstrup, Skansen Legekontor og Nasjonalt Senter for samhandling og telemedisin, Norway
Ole Kristian Losvik, Losol AS, Norway
Heather Leslie, Atomica Informatics, Australia (openEHR Editor)
Rikard Lovstrom, Swedish Medical Association, Sweden
Camilla Lund, Institute for Cancer Genetics and Informatics, Norway
Hallvard Lærum, Direktoratet for e-helse, Norway
Arne Løberg Sæter, DIPS ASA, Norway
Siv Marie Lien, DIPS ASA, Norway
Ian McNicoll, freshEHR Clinical Informatics, United Kingdom
Paul Miller, SCIMP NHS Scotland, United Kingdom
Bjørn Næss, DIPS ASA, Norway
Jeremy Oats, NT Health, Australia
Andrej Orel, Marand d.o.o., Slovenia
Anne Pauline Anderssen, Helse Nord RHF, Norway
Rune Pedersen, Universitetssykehuset i Nord Norge, Norway
Tanja Riise, Nasjonal IKT HF, Norway
Jussara Rotzsch, Hospital Alemão Oswaldo Cruz, Brazil
Rosalie Schultz, Anyinginyi Health Aboriginal Corporation, Australia
Line Silsand, Universitetssykehuset i Nord-Norge, Norway
Raymond Simkus, Brookswood Family Practice, Canada
Lisbeth Sommervoll, Akershus Universitetssykehus, Norway
Norwegian Review Summary, Nasjonal IKT HF, Norway
Nyree Taylor, Ocean Informatics, Australia
Jon Tysdahl, Furst medlab AS, Norway
John Tore Valand, Helse Bergen, Norway (openEHR Editor)
Ping-Cheng Wei, New Zealand
Translators
  • German: Caroline Bönisch, UMG, Caroline.Thoms@med.uni-goettingen.de
  • Swedish: Carrick Gillespie, Annika Terner, Omniq AB, carrick.gillespie@omniq.se
  • Norwegian Bokmål: Silje Ljosland Bakke and Vebjørn Arntzen, Nasjonal IKT HF and Oslo University Hospital HF, silje.ljosland.bakke and varntzen@ous-hf.no
  • French: Bassem Khouzam, Vanessa Pereira, Medtronic, Better - Pathfinder, bassem.khouzam@medtronic.com, vanessapereira@protonmail.com
  • Dutch: Martijn van Eenennaam, Paul van den Berg, Nedap, Nedap Healtcare, martijn.vaneenennaam@nedap.com, paul.vandenberg@nedap.com, Ph.D.