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Related Experiment Video

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Developing a social autopsy tool for dengue mortality: a pilot study.

María José Arauz1, Valéry Ridde1, Libia Milena Hernández2

  • 1School of Public Health (ESPUM), University of Montreal / University of Montreal Hospital Research Center (CRCHUM), Montreal, Canada.

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|February 7, 2015
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Summary
This summary is machine-generated.

Researchers developed and pre-tested a social autopsy tool to understand how social determinants of health impact dengue mortality. This tool can help identify modifiable factors to reduce deaths from dengue fever.

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Area of Science:

  • Public Health
  • Epidemiology
  • Social Sciences

Background:

  • Dengue fever is a growing global public health concern, particularly in tropical and subtropical regions.
  • Colombia, especially the Santander department, faces significant dengue outbreaks and mortality.
  • The influence of social determinants of health (SDH) on dengue mortality remains understudied.

Purpose of the Study:

  • To develop and pre-test a social autopsy (SA) tool for investigating dengue mortality.
  • To understand the social, individual, and health system factors contributing to dengue deaths.

Main Methods:

  • Developed definitions for dengue fatal cases and 'near misses'.
  • Constructed a conceptual framework for dengue mortality determinants.
  • Designed and pilot-tested the SA tool with relatives of fatal cases and near misses in Bucaramanga, Colombia.

Main Results:

  • The SA tool was found to be practical for assessing dengue mortality in the Colombian context after modifications.
  • The tool focuses on socioeconomic position and intermediary SDH, rather than broader contextual factors.
  • Pilot testing involved three relatives of fatal cases and six near misses.

Conclusions:

  • The SA tool is the first of its kind for dengue mortality, grounded in literature, a conceptual framework, and expert input.
  • This research advances the understanding of SDH in neglected tropical diseases like dengue.
  • The tool can enhance surveillance systems by identifying modifiable risk factors for dengue mortality reduction interventions.