Evidence map›Paper›PMID 32303202›Full record

ArticleBMC health services research2020

Weekend effect on mortality by medical specialty in six secondary hospitals in the Helsinki metropolitan area over a 14-year period.

Morag Tolvi, Kimmo Mattila, Jari Haukka, Leena-Maija Aaltonen, Lasse Lehtonen

Abstract read
In one paragraph

Article in BMC health services research, 2020. 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.

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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

5 authors.

Morag TolviDepartment of Otorhinolaryngology - Head and Neck Surgery, University of Helsinki and Helsinki University Hospital, P.O. Box 263, 00029 HUS, Helsinki, Finland. morag.tolvi@hus.fi.
Kimmo MattilaGroup Administration, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Jari HaukkaClinicum, Department of Public Health, University of Helsinki, Helsinki and Faculty of Medicine and Health Technology, University of Tampere, Tampere, Finland.
Leena-Maija AaltonenDepartment of Otorhinolaryngology - Head and Neck Surgery, University of Helsinki and Helsinki University Hospital, P.O. Box 263, 00029 HUS, Helsinki, Finland.
Lasse LehtonenDiagnostic Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.

Funding

Finnish Governmental Grant -Finnish Medical Association -Otology Research Fund of Finland 20170031
6 · The paper itself

Abstract

backgroundThe weekend effect is the phenomenon of a patient's day of admission affecting their risk for mortality. Our study reviews the situation at six secondary hospitals in the greater Helsinki area over a 14-year period by specialty, in order to examine the effect of centralization of services on the weekend effect.

methodsOf the 28,591,840 patient visits from the years 2000-2013 in our hospital district, we extracted in-patients treated only in secondary hospitals who died during their hospital stay or within 30 days of discharge. We categorized patients based on the type of each admission, namely elective versus emergency, and according to the specialty of their clinical service provider and main diagnosis.

resultsA total of 456,676 in-patients (292,399 emergency in-patients) were included in the study, with 17,231 deaths in-hospital or within 30 days of discharge. A statistically significant weekend effect was observed for in-hospital and 30-day post-discharge mortality among emergency patients for 1 of 7 specialties. For elective patients, a statistically significant weekend effect was visible in in-hospital mortality for 4 of 8 specialties and in 30-day post-discharge mortality for 3 of 8 specialties. Surgery, internal medicine, and gynecology and obstetrics were most susceptible to this phenomenon.

conclusionsA weekend effect was present for the majority of specialties for elective patients, indicating a need for guidelines for these admissions. More disease-specific research is necessary to find the diagnoses, which suffer most from the weekend effect and adjust staffing accordingly.

Indexed as

After-Hours CareEmergency Service, HospitalMedicineAdultAgedEmergenciesFemaleFinlandHospital MortalityHumansMaleMedical AuditMiddle AgedPatient DischargeQuality of Health CareTime FactorsHospital mortalityPatient dischargeQuality of healthcareTreatment outcomeWeekend effect

Identifiers

PMID32303202
PMCPMC7164185

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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.