Core socioDemographic data variables in ICU Trials (CoDe-IT): a protocol for generating core data variables using a Delphi consensus process

BMJ Open. 2024 Jul 23;14(7):e082912. doi: 10.1136/bmjopen-2023-082912.

Abstract

Introduction: Sociodemographic variables influence health outcomes, either directly (ie, gender identity) or indirectly (eg, structural/systemic racism based on ethnoracial group). Identification of how sociodemographic variables can impact the health of critically ill adults is important to guide care and research design for this population. However, despite the growing recognition of the importance of collecting sociodemographic measures that influence health outcomes, insufficient and inconsistent data collection of sociodemographic variables persists in critical care studies. We aim to develop a set of core data variables (CoDaV) for social determinants of health specific to studies involving critically ill adults.

Methods and analysis: We will conduct a scoping review to generate a list of possible sociodemographic measures to be used for round 1 of the modified Delphi processes. We will engage relevant knowledge users (previous intensive care unit patients and family members, critical care researchers, critical care clinicians and research co-ordinators) to participate in the modified Delphi consensus survey to identify the CoDaV. A final consensus meeting will be held with knowledge user representatives to discuss the final CoDaV, how each sociodemographic variable will be collected (eg, level of granularity) and how to disseminate the CoDaV for use in critical care studies.

Ethics and dissemination: The University of Calgary conjoint health research ethics board has approved this study protocol (REB22-1648).

Keywords: clinical trials; intensive & critical care; statistics & research methods.

MeSH terms

  • Consensus*
  • Critical Care* / standards
  • Critical Illness* / therapy
  • Delphi Technique*
  • Humans
  • Intensive Care Units*
  • Research Design
  • Social Determinants of Health
  • Sociodemographic Factors