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Association between Manchester Triage System discriminators and nursing diagnoses.
Betina Franco1,2, Lurdes Busin1,2, Tânia Couto Machado Chianca3
1Universidade Federal do Rio Grande do Sul (UFRGS), Escola de Enfermagem. Porto Alegre, Rio Grande do Sul, Brasil.
The Manchester Triage System discriminators are linked to common nursing diagnoses in emergency departments. This study found significant associations between triage tools and patient care needs.
Area of Science:
- Emergency nursing
- Triage systems
- Clinical decision-making
Background:
- The Manchester Triage System (MTS) is a widely used tool for prioritizing patients in emergency departments.
- Understanding the relationship between triage discriminators and established nursing diagnoses is crucial for effective patient care.
- Previous research has not extensively explored these specific associations in adult emergency settings.
Purpose of the Study:
- To investigate the correlation between specific discriminators used in the Manchester Triage System and identified nursing diagnoses.
- To analyze these associations in adult patients categorized with clinical priority I (emergency) and II (very urgent).
Main Methods:
- A cross-sectional study was conducted in a Brazilian emergency department from April to August 2014.
- Data from 219 adult patients were analyzed using online medical records.
- Statistical analysis included Fisher's exact test and the chi-square test.
Main Results:
- The study identified 16 MTS discriminators and 14 nursing diagnoses.
- Significant associations were observed between seven discriminators and five problem-focused nursing diagnoses, such as 'Cardiac pain' and 'Acute pain'.
- Three discriminators, including 'Acute neurological deficit', were associated with four risk nursing diagnoses, like 'Risk of ineffective cerebral tissue perfusion.'
Conclusions:
- The findings demonstrate a significant relationship between Manchester Triage System discriminators and prevalent nursing diagnoses in the emergency department.
- These associations can inform clinical practice and improve the accuracy of nursing diagnoses based on initial triage.
- Further research can explore these links in diverse patient populations and healthcare settings.
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