Evidence map›Paper›PMID 38386095›Full record

ArticleInternal and emergency medicine2024

Descriptive analysis and evaluation of Health Link referrals to the emergency department before and during the COVID-19 pandemic.

Ian R Cooper, Andrew Schmaus, Tara A Whitten, Jeffery A Bakal, Fayaz Kurji, Denise Watt, Eddy Lang

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Article in Internal and emergency medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

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

7 authors.

Ian R CooperCumming School of Medicine, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada. ian.cooper1@ucalgary.ca.ORCID 0000-0001-7077-8369
Andrew SchmausCumming School of Medicine, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada.
Tara A WhittenAlberta Health Services, Edmonton, AB, Canada.
Jeffery A BakalAlberta Health Services, Edmonton, AB, Canada.
Fayaz KurjiAlberta Health Services, Edmonton, AB, Canada.
Denise WattAlberta Health Services, Edmonton, AB, Canada.
Eddy LangCumming School of Medicine, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Alberta, Health Link (HL) provides a 24-h, nurse-staffed, phone resource to the public for health-care advice. HL directs callers to either seek care in the emergency department (ED), with a primary care provider or provide self-care at home. This work aims to describe HL ED referrals prior to and during the COVID-19 pandemic.

methodsData from January 1, 2018-December 31, 2019, and July 1, 2020-June 30, 2022, were selected. HL calls were categorized as likely appropriate if the patient was referred and presented to the ED within 24 h and had a Canadian Triage and Acuity Scale (CTAS) of 1-3; or a CTAS of 4-5 and the patient was admitted, specialist consulted, or diagnostic imaging or laboratory tests were completed. The primary outcome was the percentage of likely appropriate referrals among all HL ED referrals.

resultsIn the 2018-2019 and 2020-2022 samples, respectively, there were 845,372 and 832,730 calls. Of the 211,723 and 213,486 ED referrals, only 140,614 (66.4%) and 143,322 (67.1%) presented to an ED. Of these, 84.3 and 86.7 per 100 patient visits were categorized as likely appropriate referrals. Health Link referrals account for 3.2% and 3.8% of all ED visits. IMPACT: HL referrals to the ED represent only a small percentage of all ED visits. Based on our definition, most referrals by HL are likely appropriate. The COVID-19 pandemic does not appear to have altered the rates of calls to HL, the number of HL calls referred to the ED, nor the likely appropriateness of those referrals.

Indexed as

COVID-19Emergency Service, HospitalReferral and ConsultationAdultAgedAlbertaFemaleHumansMaleMiddle AgedPandemicsSARS-CoV-2TriageEmergency medicineTelehealthTele-triage

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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.