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A Consensus-Driven Uniform Data Set for Head and Neck Cancer: Instrument Development and Evaluation Planning.
Kevin J Sykes1,2, Amelia Lawrence1,3, Naomi C Wang1
1Department of Otolaryngology-Head and Neck Surgery, The University of Kansas Medical Center, Kansas City, Kansas, USA.
Social determinants of health (SDoH) impact head and neck cancer (HNC) disparities. A new uniform data set (UDS) was developed to integrate SDoH and cancer care metrics, aiding disparity research.
Area of Science:
- Oncology
- Public Health
- Health Disparities Research
Background:
- Social determinants of health (SDoH) significantly influence head and neck cancer (HNC) outcomes.
- Existing research on HNC disparities often overlooks broader societal factors, focusing mainly on individual and healthcare system influences.
Purpose of the Study:
- To develop a uniform data set (UDS) that integrates multilevel SDoH measures with oncologic healthcare delivery metrics.
- To address the gap in understanding societal influences on HNC disparities.
Main Methods:
- Phase I involved an expert advisory board using an iterative process to achieve consensus on UDS data elements.
- Phase II implemented a multi-institutional pilot study across six academic centers to assess UDS feasibility.
Main Results:
- A consensus was reached on key data elements for the UDS through expert deliberation.
- The pilot study demonstrated the feasibility of collecting integrated SDoH and cancer care data across multiple institutions.
Conclusions:
- The co-developed data collection instrument facilitates the establishment of a UDS for identifying drivers of HNC disparities.
- Collaborative networks and institutional review board (IRB) engagement are crucial for overcoming challenges in multi-institutional healthcare disparity research.
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