Study Design Codeable Concept
Code system:
Evidence of Health Treatment Efficacy Implementation Guide published by Linca Telecomunicações Ltda. This guide is not an authorized publication; it is the continuous build for version 1.0.0. This version is based on the current content of <link> and changes regularly. See the implementation guide for version fhir r5
This Code system is used in the following value sets:
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Value set: Category of evidence resources specifying the Study Design of the article in the Telix Implementation Guide:
Definition
SEVCO is a standardized terminology to describe the methodological design of a study, allowing research characteristics such as randomization, study type, comparison, and population design to be represented in a structured and computable way.
These values represent macro-level SEVCO categories used to classify the methodological design of the study. Our profile and Implementation Guide restrict the accepted study design values to the SEVCO codes listed below.
The definition and classification were taken from: https://hl7.org/fhir/codesystem-study-design.html
code | display | definition |
|---|---|---|
none | Opinion | Opinion regarding the treatment without conducting tests on groups or patients with the studied condition. |
SEVCO:01016 | Case Series Studies | A non-comparative study design in which two or more participants are evaluated in a single group (or cohort). |
SEVCO:01022 | Population Based Design | A study design in which the unit of observation is a population or community. |
SEVCO:01013 | Case-control studies | A comparative study design in which the groups being compared are defined by outcome presence (case) or absence (control). |
SEVCO:01010 | Comparative Cohort Studies | A study design in which two or more groups are compared. |
SEVCO:01003 | Randomized Clinical Trial | An interventional study design in which an independent variable (an exposure or intervention) is prospectively assigned or modified by random chance to separate groups. |
Synthesis-type | Systematic Review and Meta-Analysis | A systematic review evaluates and compiles studies on a treatment. A meta-analysis combines their results to estimate the effect more precisely. |
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