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Updated: Jun 13, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Development and content validation of a risk classification instrument
Marcia Beatriz Micha Ferreira de Oliveira1, Lillian Caroline Fernandes2, Ilana Eshriqui Oliveira3
1Sociedade Beneficente Israelita Brazileira Albert Einstein, Faculdade Israelita de Ciências da Saúde Albert Einstein. São Paulo, São Paulo, Brazil.
A validated patient risk classification instrument for primary health care emergency services was developed. This tool aids in accurately categorizing patient severity for improved emergency care.
Area of Science:
- Emergency Medicine
- Health Services Research
- Patient Triage
Background:
- Effective patient risk classification is crucial in primary health care emergency services.
- Existing tools may require validation or refinement for specific primary care settings.
Purpose of the Study:
- To develop and validate an instrument for patient risk classification in primary health care emergency services.
- To ensure the instrument is clear, relevant, and accurately reflects patient severity.
Main Methods:
- The study involved two stages: item generation and content validity assessment.
- Item generation included a literature review and retrospective analysis of medical records.
- Content validity was established using the Content Validity Ratio (CVR) with expert judges.
Main Results:
- 52 items were retained after validation by 75 and 71 judges across two rounds.
- The instrument was divided into three risk categories: red, orange, and yellow.
- Minimum adherence scores for latent variable items were met, indicating robust content.
Conclusions:
- The developed instrument is valid for patient risk classification in primary health care emergency settings.
- The tool demonstrates clarity, relevance, pertinence, and agreement on severity indication.
- This validated instrument can enhance the accuracy of emergency service triage.
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