Evidence map›Paper›PMID 42024857›Full record

ArticleJMIR public health and surveillance2026

Health Care Providers' Perspectives on Early Warning Systems for Acute Respiratory Infections in Canada: Qualitative Study.

Jinfan Qiang, Kevin Maruthananth, Maaha Farrukh, Andrew David Pinto, Banafshe Hosseini

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 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

5 authors.

Jinfan QiangUpstream Lab, MAP Centre for Urban Health Solutions, St. Michael's Hospital, 30 Bond Street, Toronto, ON, M5B 1W8, Canada, 1 416-864-6060 ext 76148.ORCID 0000-0003-4696-1360
Kevin MaruthananthUpstream Lab, MAP Centre for Urban Health Solutions, St. Michael's Hospital, 30 Bond Street, Toronto, ON, M5B 1W8, Canada, 1 416-864-6060 ext 76148.ORCID 0009-0006-7977-9572
Maaha FarrukhUpstream Lab, MAP Centre for Urban Health Solutions, St. Michael's Hospital, 30 Bond Street, Toronto, ON, M5B 1W8, Canada, 1 416-864-6060 ext 76148.ORCID 0009-0005-9321-6058
Andrew David PintoUpstream Lab, MAP Centre for Urban Health Solutions, St. Michael's Hospital, 30 Bond Street, Toronto, ON, M5B 1W8, Canada, 1 416-864-6060 ext 76148.ORCID 0000-0003-1841-9347
Banafshe HosseiniDepartment of Family and Community Medicine, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-3962-2777

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute respiratory infections (ARIs) remain a significant global health challenge and are the second leading cause of disease burden and mortality. Early warning systems (EWS) play a key role in detecting clinical deterioration, alerting health care providers (HCPs), and supporting pandemic surveillance. While existing literature highlights HCPs' positive experiences with EWS in confirming clinical assessments and guiding escalation, perspectives on how these systems can be optimized for ARI management remain underexplored. Objective: As Canada continues to develop and operationalize EWS for outbreak and pandemic preparedness, this study aims to explore the experiences and insights of primary care providers, emergency department (ED) physicians, and researchers regarding the use of EWS for ARI management in Canada. Methods: Eleven participants, including primary care providers, ED physicians, and researchers from urban and rural settings across 5 Canadian provinces (Ontario, Newfoundland and Labrador, Quebec, British Columbia, and Manitoba), were recruited in 2024. All participants regularly managed patients with ARIs or played key roles in pandemic response. A codebook thematic analysis was conducted to identify patterns and themes, with subthemes organized under broader thematic categories. Data saturation was assessed during the analysis phase. The study adhered to the COREQ (Consolidated Criteria for Reporting Qualitative Research) guidelines. Results: Among the 11 participants, there was approximately equal representation across gender and age groups, and more than 90% had over ten years of experience in ARI management. Three overarching themes emerged. First, participants demonstrated general awareness of the use of EWS in ARI management, including outbreak detection, screening and triage support, and informing clinical decision-making. Technologies and surveillance tools used during the COVID-19 pandemic were frequently referenced; however, understanding of specific EWS and their application to ARI management was often limited. Second, participants identified key attributes of an effective EWS as accuracy, timeliness, integration, and equity, emphasizing the need for seamless integration into existing Canadian health care workflows without increasing administrative burden. Third, anticipated challenges were described across 4 stages of EWS development, including initiation (funding and privacy concerns), implementation (outdated data systems and limited legislation), use (staff shortages and capacity constraints), and evaluation (lack of standardized and innovative evaluation approaches). Conclusions: This study engaged 11 experienced HCPs and researchers who were directly involved in patient care and public health response to ARI outbreaks and qualitatively explored their perspectives on EWS for ARI management and pandemic preparedness. The findings identified 3 overarching themes regarding the general knowledge, desired attributes, and anticipated challenges of EWS in ARI management, highlighting the importance of co-designing EWS with clinicians, researchers, and other key stakeholders to improve their effectiveness and integration into clinical practice and pandemic preparedness across Canada.

Indexed as

Attitude of Health PersonnelHealth PersonnelRespiratory Tract InfectionsAcute DiseaseAdultCanadaFemaleHumansMaleMiddle AgedPandemic PreparednessQualitative Researchearly warning systemhealth carepandemic preparednessprimary carequalitative method

Identifiers

PMID42024857
PMCPMC13105425

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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.