ARCHETYPE Ethnic identity (openEHR-EHR-EVALUATION.ethnicity.v1)

ARCHETYPE IDopenEHR-EHR-EVALUATION.ethnicity.v1
ConceptEthnic identity
DescriptionAffiliation, kinship or connection with one or more groupings of people, according to common origins or background.
UseUse to record the affiliation, kinship or connection of an individual with one or more groupings of people, usually self-identified. Ethnicity is a concept that is frequently used inconsistently, such that existing or legacy data may be quite varied in content, including but not limited to: - A long-shared history (written or oral); - A cultural tradition, including family, social and religious customs; - A common geographic origin; - A common language; or - A minority or distinct group within the local community context. In designing this archetype, the structure has deliberately been kept simple, to support any and all requirements for representing ethnicity. As the understanding around ethnicity and appropriate value sets are identified and agreed upon, this archetype may grow to support evolving clarity of requirements. The data element 'Ethnicity' allows multiple occurrences so that more than one ethnic and cultural identity to be recorded for the individual from a single value set, and also so that more than one representation of 'Ethnicity' can be recorded, for example explicitly recording First People status. The 'Ancestry' data element has also been included to support health risk assessment related to family history and inherited disease, such as a genetic variations that increase the risk of Crohn's disease in Ashkenazi Jews. The amount of overlap between 'Ethnicity' and 'Ancestry may vary enormously between individuals, but separating each into distinct data elements will allow appropriate usage within the clinical context for decision support and provision of healthcare. This archetype has been designed to be recorded as a single instance within a health record, persisted, updated and revised over time as a new version. Ethnicity is often considered as a component of a demographic record for an individual however it has been represented within this clinical archetype for situations when it needs to be represented in a clinical data collection or is required to support culturally sensitive and appropriate healthcare delivery, for example in First Nations communities. The concept of categorisation by race or skin colour is controversial. In some places, the term 'race' may be considered acceptable and interchangeable with 'ethnicity', yet is illegal in others. Contributing to the confusion, many value sets for ethnicity also contain values that describe physical characteristics such as skin colour or geographical origin. The concept of 'Race' may sometimes be used as a clumsy proxy for identifying risk factors related to social determinants of health (SDOH), however it is strongly recommended that archetypes that represent SDOH concepts be used for more accurate data capture.
MisuseNot to be used to represent the 'Country of birth' of an individual. Use the 'Country of birth' data element within the EVALUATION.birth_details archetype for this purpose. Not to be used to record a religious affiliation. Use the CLUSTER.religion archetype for this purpose. Not to be used to record self-identified gender. Use the 'Gender identity' data element within the EVALUATION.gender archetype for this purpose. Not to be used to record language requirements for translation purposes. Use the CLUSTER.language for this purpose. Not to be used to represent or replace formal records of ethnic background or for the purposes of maintaining an official demographic register or index. Use a formal Master Patient Index for this purpose, or archetypes based on the openEHR Demographic Information Model.
PurposeTo record the affiliation, kinship or connection of an individual with one or more groupings of people, usually self-identified.
ReferencesWikipedia - Ethnic group. Available from: https://en.wikipedia.org/wiki/Ethnic_group.
AuthorsAuthor name: Heather Leslie
Organisation: Atomica Informatics
Email: heather.leslie@atomicainformatics.com
Date originally authored: 2021-01-27
Other Details LanguageAuthor name: Heather Leslie
Organisation: Atomica Informatics
Email: heather.leslie@atomicainformatics.com
Date originally authored: 2021-01-27
OtherDetails 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=Wikipedia - Ethnic group. Available from: https://en.wikipedia.org/wiki/Ethnic_group., original_namespace=org.openehr, original_publisher=openEHR Foundation, custodian_namespace=org.openehr, MD5-CAM-1.0.1=75F0FE57A0A92ECC8129254AAAE50E4F, build_uid=3dccb54a-57ac-4a6a-a7f5-5ad006458c08, revision=1.1.3}
Keywordsethnicity, culture, language, race, tribe, affiliation, belief, kinship, identity, clan, group, nationality, citizenship, nation, political
Lifecyclepublished
UID94ed2650-e15b-4145-8304-5f73181147af
Language useden
Citeable Identifier1013.1.5162
Revision Number1.1.3
AllArchetype [runtimeNameConstraintForConceptName=null, archetypeConceptBinding=null, archetypeConceptDescription=Affiliation, kinship or connection with one or more groupings of people, according to common origins or background., archetypeConceptComment=null, otherContributors=Vebjørn Arntzen, Oslo University Hospital, Norway (openEHR Editor)
Silje Ljosland Bakke, Helse Vest IKT AS, Norway (openEHR Editor)
SB Bhattacharyya, Bhattacharyyas Clinical Records Research & Informatics LLP, India
Samanta Dallagnese, Prontmed, Brazil
Stefan Dubois, Dep't of Pathology and Genetics, University Hospitals of Lund and Malmö, Sweden
Grant Forrest, Lunaria Ltd, United Kingdom
Heather Grain, Llewelyn Grain Informatics, Australia
Mikkel Johan Gaup Grønmo, Regional forvaltning EPJ, Helse Nord, Norway (openEHR Editor)
Evelyn Hovenga, EJSH Consulting, Australia
Akriti Jamwal, DCHIKITSA Pvt Ltd, India
Kanika Kuwelker, Helse Vest IKT, Norway (openEHR Editor)
Jörgen Kuylenstierna, eWeave AB, Sweden
Tomi Laptoš, Marand, Slovenia
Liv Laugen, ​Oslo University Hospital, Norway, Norway (openEHR Editor)
Heather Leslie, Atomica Informatics, Australia (openEHR Editor)
Rikard Lovstrom, Swedish Medical Association, Sweden
Michael Lutz, BITsoft, Germany
Mikael Nyström, Cambio Healthcare Systems AB, Sweden
Natalia Strauch, Medizinische Hochschule Hannover, Germany
Norwegian Review Summary, Norwegian Public Hospitals, Norway
Pencho Tonchev, Medical University- Pleven, Bulgaria
John Tore Valand, Helse Bergen, Norway (openEHR Editor)
Marit Alice Venheim, Helse Vest IKT, Norway (openEHR Editor)
Michael Zampaglione, Australia, originalLanguage=en, translators=
  • German: Natalia Strauch, Medizinische Hochschule Hannover, Strauch.Natalia@mh-hannover.de
  • Norwegian Bokmål: Vebjørn Arntzen, Oslo University Hospital, varntzen@ous-hf.no
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