| ARCHETYPE ID | openEHR-EHR-OBSERVATION.blood_pressure.v2 |
|---|---|
| Concept | Blood pressure |
| Description | The local measurement of arterial blood pressure which is a surrogate for arterial pressure in the systemic circulation. |
| Use | Use to record all representations of systemic arterial blood pressure measurement, no matter which method or body location is used to record it. The archetype is intended to capture blood pressure measurements in all clinical scenarios - for example:
There is a rich state model that supports interpretation of measurements through identifying patient position, exercise, confounding factors and angle of a tilt table in research. Named events have been limited to average over a 24 hour period, however templates can further constrain the default 'any event' to cater for specific requirements for blood pressure measurements such as recording Blood Pressure against specific points in time, or over a range of intervals (+/- mathematical functions). |
| Misuse | Not to be used to record the measurement of arterial blood pressure which is NOT a surrogate for arterial pressure in the systemic circulation eg specific measurement of right pulmonary artery pressure. Use OBSERVATION.intravascular_pressure in this situation. Not to be used to record measurements of intravenous pressure. Use the appropriate specialisations of OBSERVATION.intravascular_pressure in this situation. |
| Purpose | To record the systemic arterial blood pressure of an individual. |
| References | O'Brien E, Asmar R, Beilin L, et al. European Society of Hypertension recommendations for conventional, ambulatory and home blood pressure measurement. Journal of Hypertension [Internet]. 2003 [cited 2009 Jul 30] ; 21(5):821-848. Available from http://www.bhsoc.org/bp_monitors/ESH_BP_rec.pdf Perloff D, Grim C, Flack J, Frohlich ED, Hill M, McDonald M, Morgenstern BZ. Human blood pressure determination by sphygmomanometry. Circulation [Internet]. 1993 [cited 2009 Jul 29] 88 (5): 2460. Available from: http://circ.ahajournals.org/cgi/reprint/88/5/2460 |
| Copyright | © openEHR Foundation |
| Authors | Author name: Sam Heard Organisation: Ocean Informatics Email: sam.heard@oceaninformatics.com Date originally authored: 2006-03-22 |
| Other Details Language | Author name: Sam Heard Organisation: Ocean Informatics Email: sam.heard@oceaninformatics.com Date originally authored: 2006-03-22 |
| Other Details (Language Independent) |
|
| Keywords | observations, measurement, bp, vital signs, mean arterial pressure, pulse pressure, systolic, diastolic, RR, NIBP |
| Lifecycle | published |
| UID | 1811b084-29c0-4bec-bde3-c70b7a5bc28e |
| Language used | en |
| Citeable Identifier | 1013.1.3574 |
| Revision Number | 2.0.12 |
| Archetype Concept Comment | Most commonly, use of the term 'blood pressure' refers to measurement of brachial artery pressure in the upper arm. |
| events | |
| Any event | Any event: Default, unspecified point in time or interval event which may be explicitly defined in a template or at run-time. |
| 24 hour average | 24 hour average: Estimate of the average blood pressure over a 24 hour period. Math. function: Mean Interval width: 24 hours |
| state | |
| Position | Position: The position of the individual at the time of measurement.
|
| Confounding factors | Confounding factors: Comment on and record other incidental factors that may be contributing to the blood pressure measurement. For example, level of anxiety or 'white coat syndrome'; pain or fever; changes in atmospheric pressure etc. |
| Exertion | Exertion: Details about physical activity undertaken at the time of blood pressure measurement. Include: openEHR-EHR-CLUSTER.level_ |
| Sleep status | Sleep status: Sleep status - supports interpretation of 24 hour ambulatory blood pressure records.
|
| Tilt | Tilt: The craniocaudal tilt of the surface on which the person is lying at the time of measurement. Property: Angle, plane Units: -90.0..90.0 ° Limit decimal places: 0 |
| data | |
| Systolic | Systolic: Peak systemic arterial blood pressure - measured in systolic or contraction phase of the heart cycle. Property: Pressure Units: 0.0..<1000.0 mmHg Limit decimal places: 0 |
| Diastolic | Diastolic: Minimum systemic arterial blood pressure - measured in the diastolic or relaxation phase of the heart cycle. Property: Pressure Units: 0.0..<1000.0 mmHg Limit decimal places: 0 |
| Mean arterial pressure | Mean arterial pressure: The average arterial pressure that occurs over the entire course of the heart contraction and relaxation cycle. Property: Pressure Units: 0.0..<1000.0 mmHg Limit decimal places: 0 |
| Pulse pressure | Pulse pressure: The difference between the systolic and diastolic pressure. Property: Pressure Units: 0.0..<1000.0 mmHg Limit decimal places: 0 |
| Clinical interpretation | Clinical interpretation: Single word, phrase or brief description that represents the clinical meaning and significance of the blood pressure measurement. |
| Comment | Comment: Additional narrative about the measurement, not captured in other fields. |
| protocol | |
| Cuff size | Cuff size: The size of the cuff used for blood pressure measurement. Perloff D, Grim C, Flack J, Frohlich ED, Hill M, McDonald M, Morgenstern BZ. Human blood pressure determination by sphygmomanometry. Circulation 1993;88;2460-2470.
|
| Location of measurement | Location of measurement: Simple body site where blood pressure was measured. Choice of:
|
| Structured measurement location | Structured measurement location: Structured anatomical location of where the measurement was taken. Include: openEHR-EHR-CLUSTER.anatomical_ |
| Method | Method: Method of measurement of blood pressure.
|
| Mean arterial pressure formula | Mean arterial pressure formula: Formula used to calculate the Mean Arterial Pressure (if recorded in data). |
| Systolic pressure formula | Systolic pressure formula: Formula used to calculate the systolic pressure from from mean arterial pressure (if recorded in data). |
| Diastolic pressure formula | Diastolic pressure formula: Formula used to calculate the diastolic pressure from mean arterial pressure (if recorded in data). |
| Diastolic endpoint | Diastolic endpoint: Record which Korotkoff sound is used for determining diastolic pressure using auscultative method.
|
| Device | Device: Details about sphygmomanometer or other device used to measure the blood pressure. Include: openEHR-EHR-CLUSTER.device.v1 and specialisations |
| Extension | Extension: Additional information required to capture local context or to align with other reference models/formalisms. For example: Local hospital departmental infomation or additional metadata to align with FHIR or CIMI equivalents. Include: All not explicitly excluded archetypes |
| Other contributors | Karin Aarsheim, Helse Førde, Norway Tomas Alme, DIPS ASA, Norway Anne Pauline Anderssen, Helse Nord RHF, Norway Koray Atalag, University of Auckland, New Zealand Silje Ljosland Bakke, Helse Bergen HF, Norway (Editor) Johan Gustav Bellika, Norwegian Centre for Integrated Care and Telemedicine, Norway Knut Bernstein, MEDIQ, Denmark Lars Bitsch-Larsen, Haukeland University Hospital, Bergen, Norway Fredrik Borchsenius, Oslo universitetssykehus, Norway Pål Brekke, OUS Rikshospitalet, Norway Marja Buur, Medisch Centrum Alkmaar, Netherlands Rong Chen, Cambio Healthcare Systems, Sweden Lisbeth Dahlhaug, Helse Midt - Norge IT, Norway Beatriz de Faria Leão, Zilics, Brazil Paul Donaldson, Nursing Informatics Australia, Australia Torsten Eken, Oslo universitetssykehus HF, Ullevål, Norway Jose Florez Arango, Universidad de Antioquia, Colombia Einar Fosse, UNN HF, Norwegian Centre for Integrated Care and Telemedicine, Norway Gerard Freriks, ERC, Netherlands Sebastian Garde, Ocean Informatics, Germany Soon Ghee Yap, Singapore Health Services Pte Ltd, Singapore Anneke Goossen, Results 4 Care, Netherlands Bjørn Grøva, Helsedirektoratet, Norway Atle Hansen, Universitetssykehuset Nord-Norge, Norway Sam Heard, Ocean Informatics, Australia Kristian Heldal, Telemark Hospital Trust, Norway Karsten Heusser, Hannover Medical School, Germany Omer Hotomaroglu, Turkey Evelyn Hovenga, EJSH Consulting, Australia Derek Hoy, United Kingdom Pieter Hummel, Medisch Centrum Alkmaar, Netherlands Eugene Igras, IRIS Systems, Inc., Canada Sundaresan Jagannathan, Scottish NHS, United Kingdom Tom Jarl Jakobsen, Helse Bergen, Norway Andrew James, University of Toronto, Canada Karl Trygve Kalleberg, Oslo Universitetssykehus, Norway Sabine Leh, Helse-Bergen, Norway Heather Leslie, Atomica Informatics, Australia (Editor) Rikard Lovstrom, Swedish Medical Association, Sweden Hallvard Lærum, Oslo Universitetssykehus HF, Norway Luis Marco Ruiz, NST, Spain Rohan Martin, Ambulance Victoria, Australia Ian McNicoll, Ocean Informatics, United Kingdom Lars Ivar Mehlum, Helse Bergen HF, Norway Jeroen Meintjens, Medisch Centrum Alkmaar, Netherlands Udo Müller-Oest, CompuGROUP Software, Germany Bjørn Næss, DIPS ASA, Norway Rune Pedersen, Universitetssykehuset i Nord Norge, Norway Melvin Reynolds, United Kingdom Steinar Sandvik, Helse Vest IKT, Norway Thomas Schopf, University Hospital of North-Norway, Norway Tony Shannon, NHS, United Kingdom Thor-Einar Stemland, Helse Bergen, FOU Seksjon for e-helse, Norway Line Sæle, Helse Vest IKT, Norway Hwei-Yee Tai, Tan Tock Seng Hospital, Singapore Micaela Thierley, Helse Bergen, Norway Kevin Thon, SKDE, Norway Camilla Tøndel, Haukeland University Hospital, Norway John Tore Valand, Haukeland Universitetssjukehus, Norway (Editor) Stef Verlinden, Vivici, Netherlands Ole Øyen, Oslo University Hospital, Norway |
| Translators |
|