Survey data from a two-phase expert consensus process to develop a prognostic scoring tool for ovarian cancer outcomes. The research involved over 60 experts from diverse resource settings including the UK, India, and Nepal, and was conducted by Adam Ruddock. The dataset was last updated on May 10, 2026.
Use Cases
- Developing prognostic models based on expert-assigned weights for Tumour, Macro-environment, and Resource (TMR) domains.
- Analyzing expert consensus patterns using Likert scale responses from gynecological oncologists and medical oncologists.
- Validating clinical scoring methodologies based on feedback from a global review group.
- Studying differences in clinical assessment across diverse resource settings like the UK, India, and Nepal.
Strengths
- Data collection followed the Consensus-Based Checklist for Reporting of Survey Results (CROSS) for quality and transparency.
- Surveys were circulated to over 60 experts in Phase 1 and to 80 experts in Phase 2, indicating a multi-stage consensus process.
- The dataset includes free-text comments from experts under each TMR domain, providing qualitative context.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Data may reflect geographic bias inherent to the convenience sampling of experts from specific regions.
Provenance
- Source
- figshare
- Collection Method
- Two-step web-based survey using Likert scale questions and free-text comments, consistent with the Delphi method.
- Freshness
- Last updated 2026-05-10 20:07:17; freshness should be verified.
- Geography
- UK, India, Nepal