Evidence map›Paper›PMID 37792388›Full record

ArticlePopulation health management2023

The Use of Electronic Health Record Data to Identify Variation in Referral, Consent, and Engagement in a Pediatric Intervention for Overweight and Obesity: A Cross-Sectional Study.

Joshua S Yudkin, Marlyn A Allicock, Folefac D Atem, Carol A Galeener, Sarah E Messiah, Sarah E Barlow

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Population health management, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 2 institutions in 1 country.

Joshua S YudkinThe University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, Texas, USA.ORCID 0000-0001-9168-5145
Marlyn A AllicockThe University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, Texas, USA.
Folefac D AtemThe University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, Texas, USA.
Carol A GaleenerThe University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, Texas, USA.
Sarah E MessiahThe University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, Texas, USA.
Sarah E BarlowDivision of Pediatric Gastroenterology, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
University of Texas Health Science Center at Dallas · USChildren's Medical Center · US

Funding

UT Southwestern NORCP30DK127984 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI Jeffrey M Zigman · 2022 to 2026
$7.4M
NIDDK NIH HHS P30 DK127984
6 · The paper itself

Abstract

Clinical weight management programs face low participation. The authors assessed whether using electronic health record (EHR) data can identify variation in referral, consent, and engagement in a pediatric overweight and obesity (OW/OB) intervention. Using Epic EHR data collected between August 2020 and April 2021, sociodemographic and clinical diagnostic data (ie,

Indexed as

eHealthelectronic health recordpediatric overweight and obesityprimary care

Identifiers

PMID37792388
PMCPMC10698793
OpenAlexW4387327128

What OpenQuestion holds

Textmetadata
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.