Evidence Based Medicine on FHIR Implementation Guide, published by HL7 International / Clinical Decision Support. This guide is not an authorized publication; it is the continuous build for version 1.0.0-ballot3 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/HL7/ebm/ and changes regularly. See the Directory of published versions
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version: 3; Last updated: 2026-01-07 11:28:51+0000; Language: en
Profile: NetEffectEstimate
url: https://fevir.net/resources/Evidence/423311
identifier: FEvIR Object Identifier/423311
name: NetEffectEstimate_for_SummaryOfNetEffect_Bariatric_Surgery_Summary_of_Net_Effect_Contributions_Example_for_GIN_2022
title: NetEffectEstimate for SummaryOfNetEffect: Bariatric Surgery Summary of Net Effect Contributions Example for GIN 2022
citeAs:
NetEffectEstimate for SummaryOfNetEffect: Bariatric Surgery Summary of Net Effect Contributions Example for GIN 2022 [Database Entry: FHIR Evidence Resource]. Contributors: Computable Publishing: Net Effect Generator, Brian S. Alper, MD, MSPH [Authors/Creators]. In: Fast Evidence Interoperability Resources (FEvIR) Platform, FOI 423311. Revised 2026-01-07. Available at: https://fevir.net/resources/Evidence/423311. Computable resource at: https://fevir.net/resources/Evidence/423311#json.
status: Active
author: Computable Publishing: Net Effect Generator: , Brian S. Alper, MD, MSPH:
publisher: Computable Publishing LLC
contact: support@computablepublishing.com
copyright:
https://creativecommons.org/licenses/by-nc-sa/4.0/
description:
This Evidence Resource is referenced in an example for the EBMonFHIR Implementation Guide.
variableDefinition
description:
population definition not provided
variableRole: Population
variableDefinition
description:
intervention vs. comparator
variableRole: Exposure
comparatorCategory: comparator
variableDefinition
description:
composite outcome derived from NetEffectContributions
variableRole: Outcome
statistic
statisticType: risk difference
quantity: 4.695
AttributeEstimates
Type Level Range confidence interval 0.95 1.4049834821843223-7.985016517815678 ModelCharacteristics
Code Net effect analysis