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Using ethnographic approaches to document, evaluate, and facilitate virtual community-engaged implementation

Borsika A Rabin1,2, Kelli L Cain3, Linda Salgin4,5

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Summary

Evaluating community engagement in virtual Community Advisory Boards (CABs) is crucial. A multi-method ethnographic approach found high quality and frequency of partner engagement, with recommendations for ongoing training and data assessment.

Keywords:
COVID-19Community engagementEthnographic methodsHealth equityImplementation scienceQualitative methods

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Area of Science:

  • Public Health
  • Community-Based Participatory Research
  • Health Equity

Background:

  • Community Advisory Boards (CABs) are vital for engaging diverse partners in research.
  • Evaluating the quality of this engagement has not been consistently routine.
  • This study addresses the need for systematic assessment of engagement in virtual settings.

Purpose of the Study:

  • To describe and assess partner engagement in two virtual Community Advisory Boards (CABs).
  • To utilize a multi-method ethnographic approach for documenting engagement quality.
  • To inform best practices for enhancing community engagement in research.

Main Methods:

  • Employed a multi-method ethnographic approach for two remote CABs focused on equitable COVID-19 testing and vaccination.
  • Documented 4,540 interactions across 15 sessions using ethnographic forms and virtual observation.
  • Collected CAB member feedback via validated surveys and analyzed data using thematic and quantitative methods, triangulating findings.

Main Results:

  • High levels of engagement were reported, with 96% of members rating their engagement as good/excellent (average 4.7/5).
  • The most frequent interactions included providing information (44%) and responding (37-38%).
  • Debriefing sessions led to methodological refinements, and suggestions for improved interpretation were noted.

Conclusions:

  • Key strategies for documenting and assessing community engagement were highlighted.
  • The ethnographic methods provided rich data that refined work with community partners.
  • Recommended ongoing training, debriefing, and routine data assessment to strengthen meaningful community engagement.