Evidence map›Paper›PMID 32027676›Full record

Observational studyPloS one2020

Acknowledging the role of patient heterogeneity in hospital outcome reporting: Mortality after acute myocardial infarction in five European countries.

Micaela Comendeiro-Maaløe, Francisco Estupiñán-Romero, Lau Caspar Thygesen, Céu Mateus, Juan Merlo, Enrique Bernal-Delgado, ECHO consortium

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Observational
  2. OECD indicator 'AMI 30-day mortality' is neither comparable between countries nor suitable as indicator for quality of acute care.Clinical research in cardiology : official journal of the German Cardiac Society · 2024
    Article
  3. Article
  4. Article
  5. Article
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.

Micaela Comendeiro-MaaløeHealth Services and Policy Research Group, Institute for Health Sciences in Aragon (IACS), Zaragoza, Spain.ORCID 0000-0002-1479-8418
Francisco Estupiñán-RomeroHealth Services and Policy Research Group, Institute for Health Sciences in Aragon (IACS), Zaragoza, Spain.
Lau Caspar ThygesenNational Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark.
Céu MateusDivision of Health Research, Lancaster University, Lancaster, England, United Kingdom.ORCID 0000-0001-6219-219X
Juan MerloUnit for Social Epidemiology, Sweden & Centre for Primary Health Care Research, Region Skåne, Faculty of Medicine, Lund University Malmö, Malmö, Sweden.
Enrique Bernal-DelgadoHealth Services and Policy Research Group, Institute for Health Sciences in Aragon (IACS), Zaragoza, Spain.ORCID 0000-0002-0961-3298
ECHO consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospital performance, presented as the comparison of average measurements, dismisses that hospital outcomes may vary across types of patients. We aim at drawing out the relevance of accounting for patient heterogeneity when reporting on hospital performance.

methodsAn observational study on administrative data from virtually all 2009 hospital admissions for Acute Myocardial Infarction (AMI) discharged in Denmark, Portugal, Slovenia, Spain, and Sweden. Hospital performance was proxied using in-hospital risk-adjusted mortality. Multilevel Regression Modelling (MLRM) was used to assess differences in hospital performance, comparing the estimates of random intercept modelling (capturing hospital general contextual effects (GCE)), and random slope modelling (capturing hospital contextual effects for patients with and without congestive heart failure -CHF). The weighted Kappa Index (KI) was used to assess the agreement between performance estimates.

resultsWe analysed 46,875 admissions of AMI, 6,314 with coexistent CHF, discharged from 107 hospitals. The overall in-hospital mortality rate was 5.2%, ranging from 4% in Sweden to 6.9% in Portugal. The MLRM with random slope outperformed the model with only random intercept, highlighting a much higher GCE in CHF patients [VPC = 8.34 (CI95% 4.94 to 13.03) and MOR = 1.69 (CI95% 1.62 to 2.21) vs. VPC = 3.9 (CI95% 2.4 to 5.9), MOR of 1.42 (CI95% 1.31 to 1.54) without CHF]. No agreement was observed between estimates [KI = -0,02 (CI95% -0,08 to 0.04].

conclusionsThe different GCE in AMI patients with and without CHF, along with the lack of agreement in estimates, suggests that accounting for patient heterogeneity is required to adequately characterize and report on hospital performance.

Indexed as

Hospital MortalityAdultAgedAged, 80 and overDemographyDenmarkEuropeFemaleHospitalizationHospitals, GeneralHumansMaleMiddle AgedMyocardial InfarctionPatient DischargePortugal

Identifiers

PMID32027676
PMCPMC7004308

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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.