Evidence map›Paper›PMID 41943782›Full record

ArticleCureus2026

Decision Support Tools Strengthen Early Peanut Introduction Practices and Streamline Data Automation.

Lauren E Herlihy, Cristina Collins, Kelly Reilly, Elizabeth Blyth, Laura Gay, Priyanka Rao, Meaghan Sowers, Katherine Jordan

Abstract read
In one paragraph

Article in Cureus, 2026. 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

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

8 authors.

Lauren E HerlihyPediatrics, University of North Carolina at Chapel Hill, Chapel Hill, USA.
Cristina CollinsInstitute for Healthcare Quality Improvement, University of North Carolina at Chapel Hill, Chapel Hill, USA.
Kelly ReillyOperational Excellence, University of North Carolina at Chapel Hill, Chapel Hill, USA.
Elizabeth BlythPediatrics, University of North Carolina at Chapel Hill, Chapel Hill, USA.
Laura GayFamily Medicine, University of North Carolina at Chapel Hill, Chapel Hill, USA.
Priyanka RaoPediatrics, University of North Carolina at Chapel Hill, Chapel Hill, USA.
Meaghan SowersNursing, University of North Carolina at Chapel Hill, Chapel Hill, USA.
Katherine JordanPediatrics, University of North Carolina at Chapel Hill, Chapel Hill, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePeanut allergy prevalence in children persists in the United States. Early peanut introduction (EPI) is now recognized as an evidence-based guideline for preventing peanut allergy. EPI implementation relies on primary care providers (PCPs) guiding caregivers of young infants as they transition to solid foods. We aimed to increase caregiver-reported peanut consumption among infants at six-, nine-, and 12-month well-child checks (WCCs) across three physician-based outpatient clinics. METHODOLOGY: A quality improvement (QI) team adapted a clinical decision support (CDS) toolkit, initially developed as a pilot project at an academic residency clinic, for use at three additional outpatient clinics with distinct demographic profiles. Spreading the initiative involved developing an automated reporting tool that utilized the health system's electronic medical record (EMR) dashboard to pull data from provider note templates. The team analyzed data during the intervention and sustainability phases at all clinics using Statistical Process Control Charts (SPCCs).

resultsData from the automated report showed that caregiver-reported peanut consumption at the six-, nine-, and 12-month WCCs increased from 0 (0%) at baseline to 1,579 (62.8%) post-intervention. Documentation of EPI guidance at four-, six-, and nine-month WCCs increased from 0 (0%) at baseline to 1,667 (96%) post-intervention. Distribution of home peanut introduction handouts at four-, six-, and nine-month WCCs increased from 0 (0%) at baseline to 1,015 (77.9%) post-intervention. The mean in-room time was 48.8 minutes from baseline through sustainability.

conclusionsModifying features of the pilot CDS toolkit performed well when spread to more diverse PCP clinics in the same health system. Adding an innovative reporting tool to the EMR dashboard can provide sustainable analytics for QI metrics. Continued partnerships with PCPs and the use of CDS toolkits, along with reporting tools, may improve outcomes for introducing allergenic foods beyond peanuts, an ongoing unmet need in primary care.

Indexed as

decision-support toolselectronic medical record (emr)peanut allergyplan-do-study-act (pdsa)prevention in primary care

Identifiers

PMID41943782
PMCPMC13050513

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.