Evidence validity of the Triage Rule-Out Using High-Sensitivity Troponin Algorithm for emergency nurses in Brazil

Area of Science:

• Cardiology
• Nursing Research
• Health Services Research

Background:

• Cardiac risk assessment is crucial in emergency settings.
• The Triage Rule-Out Using High-Sensitivity Troponin (TRUST) algorithm aids in evaluating patients with chest pain.
• Validating clinical tools for diverse healthcare contexts is essential.

Purpose of the Study:

• To demonstrate the validity of the TRUST algorithm for cardiac risk assessment by nurses in Brazil.
• To ensure the cross-cultural adaptation of the TRUST algorithm meets Brazilian healthcare standards.
• To evaluate the comprehensibility and relevance of the adapted TRUST algorithm for nursing practice.

Main Methods:

• A six-stage cross-cultural adaptation process was employed, including translation, back-translation, and expert committee validation.
• Content validity was assessed using the Content Validity Index (CVI), and reliability using Cronbach's Alpha.
• A pre-test involving 31 nurses evaluated the algorithm's clarity and relevance in the Brazilian context.

Main Results:

• The adapted TRUST algorithm demonstrated high content validity (CVI > 0.90) and good reliability (Cronbach's Alpha = 0.80).
• Nurses in the pre-test found the algorithm clear, relevant, and comprehensible.
• Technical and cultural adjustments were successfully integrated into the algorithm.

Conclusions:

• The cross-cultural adaptation of the TRUST algorithm is valid and equivalent to the original version.
• The adapted algorithm is suitable for use by emergency nurses in Brazil for cardiac risk assessment.
• This validated tool can enhance the accuracy and efficiency of cardiac risk evaluation in Brazilian emergency departments.