Evidence map›Paper›PMID 30246022›Full record

ReviewBioMed research international2018

Montse Vergara-Duarte, Carme Borrell, Glòria Pérez, Juan Carlos Martín-Sánchez, Ramon Clèries, Maria Buxó, Èrica Martínez-Solanas, Yutaka Yasui, Carles Muntaner, Joan Benach

Abstract readReview
In one paragraph

Review in BioMed research international, 2018. 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.

  1. Article
  2. Investigating the Geographic Disparities of Amenable Mortality and Related Ambulance Services in Hungary.International journal of environmental research and public health · 2021
    Article
  3. Article
  4. 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

10 authors.

Montse Vergara-DuarteCAP El Clot and Unitat d'Avaluació, Sistemes d'Informació i Qualitat Assistencial, Gerència Territorial de Barcelona, Institut Català de la Salut, Departament de Salut, Generalitat de Catalunya, Barcelona, Spain.ORCID 0000-0002-7411-0160
Carme BorrellAgència de Salut Pública de Barcelona, Barcelona, Spain.
Glòria PérezAgència de Salut Pública de Barcelona, Barcelona, Spain.
Juan Carlos Martín-SánchezBiostatistics Unit, Department of Basic Sciences, Universitat Internacional de Catalunya, Sant Cugat del Vallès, Spain.
Ramon ClèriesPla Director d'Oncología, IDIBELL, Hospitalet de Llobregat, Barcelona, Spain.
Maria BuxóGirona Biomedical Research Institute (IDIBGI), Salt, Spain.
Èrica Martínez-SolanasCIBER Epidemiology and Public Health (CIBERESP), Barcelona, Spain.
Yutaka YasuiDepartment of Epidemiology & Cancer Control (S6050), St. Jude Children's Research Hospital, Memphis, TN, USA.
Carles MuntanerBloomberg Faculty of Nursing and Dalla Lana School of Public Health, University of Toronto, Canada.
Joan BenachHealth Inequalities Research Group-Employment Conditions Network (GREDS-EMCONET), Department of Political and Social Sciences, Universitat Pompeu Fabra, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmenable mortality, or premature deaths that could be prevented with medical care, is a proven indicator for assessing healthcare quality when adapted to a country or region's specific healthcare context. This concept is currently used to evaluate the performance of national and international healthcare systems. However, the levels of efficacy and effectiveness determined using this indicator can vary greatly depending on the causes of death that are included. We introduce a new approach by identifying a subgroup of causes for which there are available treatments with a high level of efficacy. These causes should be considered sentinel events to help identify limitations in the effectiveness and quality of health provision.

methodsWe conducted an extensive literature review using a list of amenable causes of death compiled by Spanish researchers. We complemented this approach by assessing the time trends of amenable mortality in two high-income countries that have a similar quality of healthcare but very different systems of provision, namely, Spain and the United States. This enabled us to identify different levels of efficacy of medical interventions (high, medium, and low). We consulted a group of medical experts and combined this information to help make the final classification of

results

conclusions

Indexed as

Mortality, PrematureQuality of Health CareAdolescentAdultAgedChildChild, PreschoolDelivery of Health CareFemaleHumansInfantInfant, NewbornMaleMiddle AgedMortalityNoncommunicable Diseases

Identifiers

PMID30246022
PMCPMC6139231

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.