Evidence map›Paper›PMID 42104525›Full record

ArticlePilot and feasibility studies2026

Feasibility and acceptability of a passive digital marker for childhood asthma risk prognosis: a pilot cross-sectional study.

Arthur H Owora, Bowen Jiang, Yash Shah, Kirsten Kloepfer, Nadia Krupp, Robert Tepper

Abstract read
In one paragraph

Article in Pilot and feasibility studies, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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.

Arthur H OworaTranslational Informatics, Biostatistics, and Epidemiology (TIBE) Lab, Division of Pediatric Pulmonology, Allergy, and Sleep Medicine, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA. ahowora@iu.edu.ORCID http://orcid.org/0000-0002-4580-7428
Bowen JiangTranslational Informatics, Biostatistics, and Epidemiology (TIBE) Lab, Division of Pediatric Pulmonology, Allergy, and Sleep Medicine, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA.
Yash ShahTranslational Informatics, Biostatistics, and Epidemiology (TIBE) Lab, Division of Pediatric Pulmonology, Allergy, and Sleep Medicine, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA.
Kirsten KloepferTranslational Informatics, Biostatistics, and Epidemiology (TIBE) Lab, Division of Pediatric Pulmonology, Allergy, and Sleep Medicine, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA.
Nadia KruppTranslational Informatics, Biostatistics, and Epidemiology (TIBE) Lab, Division of Pediatric Pulmonology, Allergy, and Sleep Medicine, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA.
Robert TepperTranslational Informatics, Biostatistics, and Epidemiology (TIBE) Lab, Division of Pediatric Pulmonology, Allergy, and Sleep Medicine, Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA.

Funding

Developing a Childhood Asthma Risk Passive Digital MarkerK01HL166436 · NHLBI · TRUSTEES OF INDIANA UNIVERSITY · PI OWORA, ARTHUR HAMIE · 2023 to 2024
$324k
AHRQ HHS R03HS029088NHLBI NIH HHS K01HL166436
6 · The paper itself

Abstract

backgroundElectronic health records (EHR)-based childhood asthma prediction may be a valid, cost-effective, and scalable option for early detection of at-risk children for targeted preventive intervention, but this approach has not been adopted in clinical practice. The purpose of this pilot study was to evaluate the feasibility and acceptability of the Pediatric Asthma Risk Score (PARS) as an EHR-based passive digital marker (PDM) for childhood asthma prognosis in clinical practice.

methodsFeasibility was defined by the level of concordance between the PARS and a clinician's classification of a case study's risk of developing school-age asthma. Acceptability was based on clinicians' intentions to use the PARS and its usability as a PDM for childhood asthma prognosis. Blinded to the PARS risk classification, clinicians were asked to predict the case study's risk of school-age asthma based on their professional judgment as either low or high risk and rate their confidence in their prediction. Unblinded to the PARS risk classification, clinicians rated the acceptability of the PARS as a PDM. Logistic regression models were used to summarize and identify correlates of feasibility and acceptability measures.

resultsThere was 74% (95% CI: 66-81%) concordance between the PARS and clinician prediction of our case study's risk of developing school-age asthma. Risk discordance (26%) was associated with low confidence in a clinician's professional judgment (adjusted odds ratio [aOR]: 4.78; 95% CI: 1.85, 12.34) and PARS (aOR: 4.48; 95% CI: 1.16, 17.33). Unblinded to the PARS risk classification, more than 80% of clinicians ranked their intentions to use the PARS and its usability as a PDM as 4+ on a 0-6 Likert scale.

conclusionOur findings demonstrate preliminary feasibility and acceptability of the Pediatric Asthma Risk Score (PARS) as a passive digital marker for childhood asthma risk, supporting further evaluation in prospective real-world studies.

Indexed as

Childhood asthmaClinical decision supportClinician behaviorPassive digital markerRisk perceptionRisk prediction

Identifiers

PMID42104525
PMCPMC13321505

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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.