Evidence map›Paper›PMID 42029014›Full record

Observational studyPaediatric anaesthesia2026

Pediatric Preanesthesia Assessment Electronic Triage Tool: Implementation, Quality Improvement, and Retrospective Observational Evaluation of a Patient-Administered Questionnaire.

Natasha Mills, Everan Michalchyshyn, Megan Parry, Barbara Couper, Alida Orr, Maria Mohareb, Skye Rutherford, Kathleen Cosby, Andrew Jarvis, Jeanette So and 4 more

Abstract readObservational Study
In one paragraph

Observational study in Paediatric anaesthesia, 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

14 authors.

Natasha MillsDepartment of Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto, Canada.ORCID https://orcid.org/0009-0004-6674-1001
Everan MichalchyshynDepartment of Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto, Canada.
Megan ParryDepartment of Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto, Canada.
Barbara CouperDepartment of Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto, Canada.
Alida OrrDepartment of Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto, Canada.
Maria MoharebDepartment of Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto, Canada.
Skye RutherfordDepartment of Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto, Canada.
Kathleen CosbyDepartment of Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto, Canada.
Andrew JarvisDepartment of Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto, Canada.
Jeanette SoDepartment of Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto, Canada.
Michelle LachicaDepartment of Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto, Canada.
Angela DominguesDepartment of Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto, Canada.
James RobertsonDepartment of Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto, Canada.
Clyde MatavaDepartment of Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto, Canada.ORCID https://orcid.org/0000-0002-9502-0981

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreanesthesia assessment is essential but resource-intensive. Electronic health records (EHRs) are widespread, yet pediatric perioperative screening remains variable.

objectiveTo develop and implement a preanesthesia triage tool based on patient-administered electronic triage questionnaire (PAC-Q) integrated with the Epic EHR to streamline pediatric preanesthesia assessment.

methodsUsing a quality-improvement framework, we created a preanesthesia triage tool that includes an adapted version of Epic's foundation questionnaire to form a 28-item PAC-Q distributed via MyChart. Responses were weighted (0, 1, or 100) to generate a triage score that, together with surgical risk, routed patients to an RN, NP, or MD for preanesthesia assessment. Implementation was staggered across surgical services. Adoption and outcomes were monitored via Epic dashboards and Power BI.

resultsBy August 31, 2025, 3993 patients completed the PAC-Q. Of these, 53.7% (2144/3993) were triaged to an RN, 12.3% (492/3993) to an NP, and 6.8% (272/3993) to an MD; 27.1% (1083/3993) were cleared by chart review without further consultation. Comparing April-June 2023 with April-June 2025, completed preanesthesia assessments increased from 71.3% (1182/1659) to 83.8% (1510/1802) (χ

conclusionsThe PAC-Q is a scalable, patient-centered digital tool that standardizes pediatric preanesthesia triage, reduces unnecessary visits, and improves screening uptake. It can be adapted to diverse perioperative settings to enhance efficiency and patient experience.

Indexed as

Preoperative CareQuality ImprovementTriageAdolescentChildChild, PreschoolElectronic Health RecordsFemaleHumansInfantMalePediatric AnesthesiaRetrospective StudiesSurveys and Questionnairesdigital healthpatient‐centered careperioperative carepreanesthesiapreoperativequality improvementtriage tool

Identifiers

PMID42029014
PMCPMC13341051

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.