Evidence map›Paper›PMID 41255980›Full record

ArticleResearch square2025

Leveraging Clinical Decision Support System Tools for Childhood Overweight/Obesity Management.

Joseph R Wardell, Nora Shaska, Zara Ahmed, Brigid Gregg, Kanakadurga Singer, Jung Eun Lee, Emily Hirschfeld, Ashley Garrity, Susan Woolford, Karen E Peterson and 9 more

Abstract readPreprint
In one paragraph

Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Joseph R WardellUniversity of Michigan.
Nora ShaskaUniversity of Michigan.
Zara AhmedUniversity of Michigan.
Brigid GreggUniversity of Michigan.
Kanakadurga SingerUniversity of Michigan.
Jung Eun LeeUniversity of Michigan.
Emily HirschfeldUniversity of Michigan.
Ashley GarrityUniversity of Michigan.
Susan WoolfordUniversity of Michigan.
Karen E PetersonUniversity of Michigan School of Public Health.
Jennifer Bragg-GreshamUniversity of Michigan.
Kelly OrringerUniversity of Michigan.
Lauren OshmanUniversity of Michigan.
Jonathan GabisonUniversity of Michigan.
Layla MohammedUniversity of Michigan.
Esther YoonUniversity of Michigan.
Jacob BilhartzUniversity of Michigan.
Bonnie BurnsUniversity of Michigan.
Joyce M LeeUniversity of Michigan.

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAVID P OLSON · 2013 to 2026
$24.3M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
Pilot and Feasibility (P and F) ProgramP30DK089503 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Karen Eileen Peterson · 2010 to 2026
$20.3M
Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK089503NIDDK NIH HHS P30 DK092926NIEHS NIH HHS P30 ES017885
6 · The paper itself

Abstract

Introduction: Consistent with evidence-based care for pediatric overweight (BMI between 85 Methods: For those whom the OPA fired, we assessed the odds of problem list BMI documentation and comorbidity screening based on demographics and weight status and generated statistical process control charts to evaluate improvements in care processes. Results: EHR data from 9,621 patients with overweight and obesity were collected from 2021-2023. Providers documented elevated BMI in the problem list for at least 44% of eligible encounters and performed comorbidity screening in at least 15% of eligible encounters. Providers were more likely to perform problem list BMI documentation for older children, non-Hispanic Black children, children with public insurance, and children with a higher BMI percentile. Providers were also more likely to perform comorbidity screening among the same groups. The mean percentage of patients with an elevated BMI diagnosis on their problem list increased from 9.2% to 64% and the mean percentage of patients who had comorbidity screening labs performed increased from 7.8% to 32%. Conclusion: The implementation of the CDSS intervention was associated with an increased likelihood of delivering evidence-based care processes.

Indexed as

clinical decision support systemobesityOurPractice advisorypediatric

Identifiers

PMID41255980
PMCPMC12622190

What OpenQuestion holds

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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.