Evidence map›Paper›PMID 32522240›Full record

ArticleScandinavian journal of trauma, resuscitation and emergency medicine2020

Self-rated worry is associated with hospital admission in out-of-hours telephone triage - a prospective cohort study.

Hejdi Gamst-Jensen, Erika Frischknecht Christensen, Freddy Lippert, Fredrik Folke, Ingrid Egerod, Linda Huibers, Mikkel Brabrand, Janne Schurmann Tolstrup, Lau Caspar Thygesen

Open access · goldAbstract read
In one paragraph

Article in Scandinavian journal of trauma, resuscitation and emergency medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.3field-weighted citation impact, top 7% of its field
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

16 citing papers in PubMed, 35 citations in OpenAlex.

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  3. Patterns of patient worry following major emergency abdominal surgery: a 180-day follow-up study.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
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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 at 5 institutions in 1 country.

Hejdi Gamst-JensenEmergency Medical Services Copenhagen, Copenhagen University, Copenhagen, Denmark. Hejdi.Gamst-Jensen@regionh.dk.ORCID http://orcid.org/0000-0002-9537-0551
Erika Frischknecht ChristensenClinic of Internal and Emergency Medicine and Department of Anesthesiology and Intensive Care, Aalborg University Hospital, Aalborg, Denmark.
Freddy LippertEmergency Medical Services Copenhagen, Copenhagen University, Copenhagen, Denmark.
Fredrik FolkeEmergency Medical Services Copenhagen, Copenhagen University, Copenhagen, Denmark.
Ingrid EgerodDepartment of Intensive Care, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Linda HuibersResearch Unit for General Practice, Aarhus, Denmark.
Mikkel BrabrandDepartment of Emergency Medicine, Odense University Hospital, Odense, Denmark.
Janne Schurmann TolstrupNational Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark.
Lau Caspar ThygesenNational Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark.
Copenhagen University Hospital · DKUniversity of Copenhagen · DKUniversity of Southern Denmark · DKAalborg University Hospital · DKOdense University Hospital · DK

Funding

TrygFonden 119443
6 · The paper itself

Abstract

objectiveTelephone triage manages patient flow in acute care, but a lack of visual cues and vague descriptions of symptoms challenges clinical decision making. We aim to investigate the association between the caller's subjective perception of illness severity expressed as "degree-of-worry" (DOW) and hospital admissions within 48 h. DESIGN AND

settingA prospective cohort study was performed from January 24th to February 9th, 2017 at the Medical Helpline 1813 (MH1813) in Copenhagen, Denmark. The MH1813 is a primary care out-of-hours service.

participantsOf 38,787 calls received at the MH1813, 11,338 met the inclusion criteria (caller being patient or close friend/relative and agreement to participate). Participants rated their DOW on a 5-point scale (1 = minimum worry, 5 = maximum worry) before talking to a call handler.

main outcome measureInformation on hospitalization within 48 h after the call, was obtained from the Danish National Patient Register. The association was assessed using logistic regression in three models: 1) crude, 2) age-and-gender adjusted and 3) age, gender, co-morbidity, reason for calling and caller status adjusted.

resultsA total of 581 participants (5.1%) were admitted to the hospital, of whom 170 (11.3%) presented with a maximum DOW, with a crude odds ratio (OR) for hospitalization of 6.1 (95% confidence interval (CI) 3.9 to 9.6) compared to minimum DOW. Estimates showed dose-response relationship between DOW and hospitalization. In the fully adjusted model, the ORs decreased to 3.1 (95%CI 2.0 to 5.0) for DOW = 5, 3.2 (2.0 to 5.0) for DOW = 4, 1.6 (1.0 to 2.6) for DOW = 3 and 0.8 (0.5 to 1.4) for DOW = 2 compared to minimum DOW.

conclusionPatients' self-assessment of illness severity as DOW was associated with subsequent hospital admission. Further, it may be beneficial in supporting clinical decision making in telephone triage. Finally, it might be useful as a measure to facilitate patient participation in the triage process.

Indexed as

After-Hours CareHospitalizationHotlinesSelf-AssessmentTriageAdolescentAdultAgedAnxietyChildChild, PreschoolClinical Decision-MakingDenmarkFemaleHumansInfantDecision makingDecision support systemsEmergency medicineHelp-seeking behaviorPatient-centered careTelephone hotlinesTriage

Identifiers

PMID32522240
PMCPMC7288501
OpenAlexW3034152488

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.