Evidence map›Paper›PMID 37957742›Full record

ArticleAllergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology2023

Validation of adult asthma case definitions for primary care sentinel surveillance.

Max Moloney, Alison Morra, Rachael Morkem, John Queenan, Samir Gupta, Teresa To, Geneviève Digby, David Barber, M Diane Lougheed

Abstract read
In one paragraph

Article in Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Integrating asthma care guidelines into primary care electronic medical records: a review focused on Canadian knowledge translation tools.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
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

9 authors.

Max MoloneyAsthma Research Unit, Kingston General Hospital, Kingston Health Sciences Centre at Queen's University, 72 Stuart Street, Kingston, ON, K7L 2V7, Canada. max.moloney@queensu.ca.ORCID http://orcid.org/0000-0003-2293-910X
Alison MorraAsthma Research Unit, Kingston General Hospital, Kingston Health Sciences Centre at Queen's University, 72 Stuart Street, Kingston, ON, K7L 2V7, Canada.
Rachael MorkemCanadian Primary Care Sentinel Surveillance Network (Eastern Ontario Network), Kingston, ON, Canada.
John QueenanDepartment of Family Medicine, Queen's University, Kingston, ON, Canada.
Samir GuptaDivision of Respirology, Department of Medicine, St. Michael's Hospital, Toronto, ON, Canada.
Teresa ToChild Health Evaluative Science, The Hospital for Sick Children, Toronto, ON, Canada.
Geneviève DigbyDivision of Respirology, Department of Medicine, Queen's University, Kingston, ON, Canada.
David BarberDepartment of Family Medicine, Queen's University, Kingston, ON, Canada.
M Diane LougheedAsthma Research Unit, Kingston General Hospital, Kingston Health Sciences Centre at Queen's University, 72 Stuart Street, Kingston, ON, K7L 2V7, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost asthma diagnoses and patient care take place in primary care settings. Electronic medical records (EMRs) offer an opportunity to utilize technology to improve asthma diagnosis and care. The purpose of this study was to create and validate separate case definitions for suspected and confirmed asthma in primary care EMRs, to enable surveillance, benchmarking, and quality improvement in primary care settings. The objective of this study was to develop a case definition for suspected and confirmed asthma for use in a primary care sentinel surveillance system.

methodsA single chart abstractor conducted a manual audit of 776 randomly selected patient charts from an academic primary care practice EMR in Kingston, Ontario. Following the single chart abstractor classification, a consensus on chart classification as "not asthma", "suspected asthma", or "confirmed asthma" was achieved between the abstractor, a family physician, and a respirologist using Canadian Thoracic Society (CTS) criteria. Case definition algorithms based on billing codes, clinical data elements and medications were applied to the site's Canadian Primary Care Sentinel Surveillance Network (CPCSSN) data for the same charts and compared to abstractor classifications to determine each algorithm's measurement properties.

resultsThe prevalence of suspected and confirmed asthma were 7.3% (n = 54) and 2.4% (n = 18), respectively. None of the proposed case definitions could differentiate between suspected and confirmed asthma. One algorithm consisting of billing, clinical, and medication elements had the highest Youden's Index for either suspected or confirmed asthma. The algorithm had a sensitivity of 81%, a specificity of 96%, positive predictive value of 71%, negative predictive value of 98%, and a Youden's Index of 0.77 for combined suspected or confirmed asthma cases.

conclusionAn EMR case definition for suspected or confirmed adult asthma has been validated for use in CPCSSN. Implementation of this case definition will enable the development of a surveillance electronic tool (eTool) for adult asthma that can foster quality improvement.

Indexed as

AsthmaElectronic medical recordsKnowledge translationQuality improvement

Identifiers

PMID37957742
PMCPMC10644606

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LicenceCC BY
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Registered trials

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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.