Evidence map›Paper›PMID 37224727›Full record

ArticleComputer methods and programs in biomedicine2023

SEnDAE: A resource for expanding research into social and environmental determinants of health.

Paul Kingsbury, Hakob Abajian, Mark Abajian, Praveen Angyan, Juan Espinoza, Beau MacDonald, Daniella Meeker, John P Wilson, Neil Bahroos

Open access · greenAbstract read
In one paragraph

Article in Computer methods and programs in biomedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Paul KingsburyKeck School of Medicine, University of Southern California, 2250 Alcazar St CSC 212, Los Angeles CA 90033, USA.
Hakob AbajianKeck School of Medicine, University of Southern California, 2250 Alcazar St CSC 212, Los Angeles CA 90033, USA.
Mark AbajianKeck School of Medicine, University of Southern California, 2250 Alcazar St CSC 212, Los Angeles CA 90033, USA.
Praveen AngyanKeck School of Medicine, University of Southern California, 2250 Alcazar St CSC 212, Los Angeles CA 90033, USA.
Juan EspinozaDepartment of Pediatrics, Children's Hospital Los Angeles, Los Angeles CA USA.
Beau MacDonaldSpatial Sciences Institute, University of Southern California, Los Angeles CA USA.
Daniella MeekerDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles CA USA.
John P WilsonSpatial Sciences Institute, University of Southern California, Los Angeles CA USA.
Neil BahroosKeck School of Medicine, University of Southern California, 2250 Alcazar St CSC 212, Los Angeles CA 90033, USA. Electronic address: Neil.Bahroos@med.usc.edu.
University of Southern California · USChildren's Hospital of Los Angeles · US

Funding

Southern California Clinical and Translational Science InstituteUL1TR001855 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Thomas A Buchanan, Michele D. Kipke · 2016 to 2026
$81.3M
Southern California Clinical and Translational Science InstituteUL1TR000130 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2012 to 2015
$36.0M
NCATS NIH HHS UL1 TR000130NCATS NIH HHS UL1 TR001855
6 · The paper itself

Abstract

BACKGROUND AND

objectiveSocial and Environmental Determinants of Health (SEDoH) are of increasing interest to researchers in personal and public health. Collecting SEDoH and associating them with patient medical record can be challenging, especially for environmental variables. We announce here the release of SEnDAE, the Social and Environmental Determinants Address Enhancement toolkit, and open-source resource for ingesting a range of environmental variables and measurements from a variety of sources and associated them with arbitrary addresses.

methodsSEnDAE includes optional components for geocoding addresses, in case an organization does not have independent capabilities in that area, and recipes for extending the OMOP CDM and the ontology of an i2b2 instance to display and compute over the SEnDAE variables within i2b2.

resultsOn a set of 5000 synthetic addresses, SEnDAE was able to geocode 83%. SEnDAE geocodes addresses to the same Census tract as ESRI 98.1% of the time.

conclusionDevelopment of SEnDAE is ongoing, but we hope that teams will find it useful to increase their usage of environmental variables and increase the field's general understanding of these important determinants of health.

Indexed as

Medical RecordsPublic HealthHumansGeocodingOpen-source toolkitSocial and environmental determinants of health (SEDoH)

Identifiers

PMID37224727
PMCPMC12579821
OpenAlexW4362722382

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.