Evidence map›Paper›PMID 36271364›Full record

ArticleBMC health services research2022

Cost-effectiveness of a rule-out algorithm of acute myocardial infarction in low-risk patients: emergency primary care versus hospital setting.

Tonje R Johannessen, Sigrun Halvorsen, Dan Atar, John Munkhaugen, Anne Kathrine Nore, Torbjørn Wisløff, Odd Martin Vallersnes

Abstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  9. Advances in laboratory medicine · 2024
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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

7 authors.

Tonje R JohannessenDepartment of General Practice, Institute of Health and Society, University of Oslo, 1130 Blindern, 0318, Oslo, NO, Norway. t.r.johannessen@medisin.uio.no.
Sigrun HalvorsenDepartment of Cardiology, Oslo University Hospital Ullevaal, Oslo, Norway.
Dan AtarDepartment of Cardiology, Oslo University Hospital Ullevaal, Oslo, Norway.
John MunkhaugenDepartment of Medicine, Drammen Hospital, Vestre Viken Hospital Trust, Drammen, Norway.
Anne Kathrine NoreOslo Accident and Emergency Outpatient Clinic, City of Oslo Health Agency, Oslo, Norway.
Torbjørn WisløffHealth Services Research Unit, Akershus University Hospital, Lørenskog, Norway.
Odd Martin VallersnesDepartment of General Practice, Institute of Health and Society, University of Oslo, 1130 Blindern, 0318, Oslo, NO, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsHospital admissions of patients with chest pain considered as low risk for acute coronary syndrome contribute to increased costs and crowding in the emergency departments. This study aims to estimate the cost-effectiveness of assessing these patients in a primary care emergency setting, using the European Society of Cardiology (ESC) 0/1-h algorithm for high-sensitivity cardiac troponin T, compared to routine hospital management.

methodsA cost-effectiveness analysis was conducted. For the primary care estimates, costs and health care expenditure from the observational OUT-ACS (One-hoUr Troponin in a low-prevalence population of Acute Coronary Syndrome) study were compared with anonymous extracted administrative data on low-risk patients at a large general hospital in Norway. Patients discharged home after the hs-cTnT assessment were defined as low risk in the primary care cohort. In the hospital setting, the low-risk group comprised patients discharged with a non-specific chest pain diagnosis (ICD-10 codes R07.4 and Z03.5). Loss of health related to a potential increase in acute myocardial infarctions the following 30-days was estimated. The primary outcome measure was the costs per quality-adjusted life year (QALY) of applying the ESC 0/1-h algorithm in primary care. The secondary outcomes were health care costs and length of stay in the two settings.

resultsDifferences in costs comprise personnel and laboratory costs of applying the algorithm at primary care level (€192) and expenses related to ambulance transports and complete hospital costs for low-risk patients admitted to hospital (€1986). Additional diagnostic procedures were performed in 31.9% (181/567) of the low-risk hospital cohort. The estimated reduction in health care cost when using the 0/1-h algorithm outside of hospital was €1794 per low-risk patient, with a mean decrease in length of stay of 18.9 h. These numbers result in an average per-person QALY gain of 0.0005. Increased QALY and decreased costs indicate that the primary care approach is clearly cost-effective.

conclusionUsing the ESC 0/1-h algorithm in low-risk patients in emergency primary care appears to be cost-effective compared to standard hospital management, with an extensive reduction in costs and length of stay per patient.

Indexed as

Acute Coronary SyndromeMyocardial InfarctionAlgorithmsBiomarkersChest PainCost-Benefit AnalysisEmergency Service, HospitalHospitalsHumansPatient DischargeTroponinTroponin TBiomarkersTroponinTroponin TAcute coronary syndromeAcute myocardial infarctionChest painCost-effectivenessOut-of-hoursTroponin

Identifiers

PMID36271364
PMCPMC9587629

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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.