Methodological guidelines for the estimation of attributable mortality using a prevalence-based method: the STREAMS-P tool.


Journal

Journal of clinical epidemiology
ISSN: 1878-5921
Titre abrégé: J Clin Epidemiol
Pays: United States
ID NLM: 8801383

Informations de publication

Date de publication:
07 2022
Historique:
received: 03 07 2021
revised: 04 03 2022
accepted: 21 03 2022
pubmed: 29 3 2022
medline: 12 10 2022
entrez: 28 3 2022
Statut: ppublish

Résumé

There is evidence of strong links between exposure to different risk factors and life-threatening diseases. Assessing the burden of a risk factor on the population's mortality due to a given disease provides a clear picture of these links. The estimation of attributable mortality to a risk factor is the most widely used procedure for doing this. Although different methods are available to estimate attributable mortality, the prevalence-based methodology is the most frequent. The main objective of this study is to develop guidelines and checklists to STrengthen the design and REporting of Attributable Mortality Studies using a Prevalence-based method (STREAMS-P) and also to assess the quality of an already published study which uses this methodology. The design of the guideline and checklists has been done in two phases. A development phase, where we set recommendations based on the review of the literature, and a validation phase, where we validated our recommendations against other published studies that have estimated attributable mortality using a prevalence-based method. We have developed and tested a guideline that includes the information required to perform a prevalence-based attributable mortality study to a given risk factor; a checklist of aspects that should be present when a report or a paper on attributable mortality is written or interpreted and a checklist of quality control criteria for reports or papers estimating attributable mortality. To our knowledge, the STREAMS-P is the first set of criteria specifically created to assess the quality of such studies and it could be valuable for authors and readers interested in performing attributable mortality studies or interpreting their reliability.

Sections du résumé

BACKGROUND
There is evidence of strong links between exposure to different risk factors and life-threatening diseases. Assessing the burden of a risk factor on the population's mortality due to a given disease provides a clear picture of these links. The estimation of attributable mortality to a risk factor is the most widely used procedure for doing this. Although different methods are available to estimate attributable mortality, the prevalence-based methodology is the most frequent. The main objective of this study is to develop guidelines and checklists to STrengthen the design and REporting of Attributable Mortality Studies using a Prevalence-based method (STREAMS-P) and also to assess the quality of an already published study which uses this methodology.
METHODS
The design of the guideline and checklists has been done in two phases. A development phase, where we set recommendations based on the review of the literature, and a validation phase, where we validated our recommendations against other published studies that have estimated attributable mortality using a prevalence-based method.
RESULTS
We have developed and tested a guideline that includes the information required to perform a prevalence-based attributable mortality study to a given risk factor; a checklist of aspects that should be present when a report or a paper on attributable mortality is written or interpreted and a checklist of quality control criteria for reports or papers estimating attributable mortality.
CONCLUSION
To our knowledge, the STREAMS-P is the first set of criteria specifically created to assess the quality of such studies and it could be valuable for authors and readers interested in performing attributable mortality studies or interpreting their reliability.

Identifiants

pubmed: 35341948
pii: S0895-4356(22)00077-4
doi: 10.1016/j.jclinepi.2022.03.016
pii:
doi:

Types de publication

Journal Article Review Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

101-110

Informations de copyright

Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.

Auteurs

Mónica Pérez-Ríos (M)

Department of Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain; CIBER Epidemiology and Public Health, CIBERESP, Madrid, Spain; Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain. Electronic address: monica.perez.rios@usc.es.

Julia Rey-Brandariz (J)

Department of Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain.

Iñaki Galán (I)

National Centre for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid/Instituto de Investigaciones Sanitarias Hospital Universitario La Paz, Madrid, Spain.

Esteve Fernández (E)

Tobacco Control Unit, WHO Collaborating Center for Tobacco Control, Institut Català d'Oncologia (ICO), Barcelona, Spain; Tobacco Control Research Group, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Barcelona, Spain; School of Medicine and Health Sciences, Universitat de Barcelona, Barcelona, Spain; CIBER of Respiratory Diseases (CIBERES), Madrid, Spain.

Agustín Montes (A)

Department of Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain; CIBER Epidemiology and Public Health, CIBERESP, Madrid, Spain; Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain.

María Isolina Santiago-Pérez (MI)

Epidemiology Unit, Galician Directorate for Public Health, A Coruña, Spain.

Alexandra Giraldo-Osorio (A)

Department of Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain; Fundación Carolina, Madrid, Spain.

Alberto Ruano-Raviña (A)

Department of Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain; CIBER Epidemiology and Public Health, CIBERESP, Madrid, Spain; Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain.

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