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

Mónica Pérez-Ríos1, Julia Rey-Brandariz2, Iñaki Galán3

  • 1Department 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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Summary

This study introduces STREAMS-P, a new guideline and checklist for designing and reporting attributable mortality studies. It enhances the quality assessment of prevalence-based risk factor analyses.

Keywords:
Attributable mortalityChecklistMortalityRisk factorStudy guide

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Area of Science:

  • Epidemiology
  • Public Health Research
  • Biostatistics

Background:

  • Strong links exist between risk factors and life-threatening diseases.
  • Assessing population mortality burden from risk factors clarifies these links.
  • Attributable mortality estimation, particularly prevalence-based methods, is key.

Purpose of the Study:

  • To develop guidelines and checklists for attributable mortality studies using a prevalence-based method (STREAMS-P).
  • To assess the quality of existing studies employing this methodology.
  • To strengthen the design and reporting of such research.

Main Methods:

  • Guideline and checklist development in two phases: literature review and validation.
  • Recommendations validated against published prevalence-based attributable mortality studies.
  • Testing of developed guideline and checklists.

Main Results:

  • A comprehensive guideline for prevalence-based attributable mortality studies was developed.
  • Checklists for reporting and interpreting attributable mortality studies were created.
  • Quality control criteria for assessing these studies were established.

Conclusions:

  • STREAMS-P offers the first specific criteria for assessing the quality of attributable mortality studies.
  • The guideline and checklists are valuable for researchers and readers.
  • It aids in performing and interpreting the reliability of attributable mortality studies.