EXPLORING THE IMPACT OF PIM 3 SCORE ON CLINICAL DECISION-MAKING: A SINGLE-CENTER STUDY

HAREESH; ABDUL HASEEB; SHARANABASAPPA MALASHETTY

doi:10.22159/ijcpr.2024v16i2.4044

Authors

HAREESH Esic Medical College and Hospital Kalaburgi, Karnataka, India
ABDUL HASEEB DNB Paediatrics, Esic Medical College and Hospital, Kalaburagi, Karnataka, India
SHARANABASAPPA MALASHETTY Esic Medical College and Hospital Kalaburgi, Karnataka, India

DOI:

https://doi.org/10.22159/ijcpr.2024v16i2.4044

Keywords:

Pediatric index of mortality 3, Clinical decision-making, Pediatric intensive care, Mortality risk, Electronic health records

Abstract

Objective: In the dynamic landscape of healthcare, the quest for precision in clinical decision-making is pivotal. The Pediatric Index of Mortality 3 (PIM 3) score has emerged as a crucial metric in predicting mortality risk among critically ill children, shaping medical choices in pediatric intensive care units.

Methods: This single-center study, conducted at [Your Institution's Name], employed a [research design] to analyze the impact of the PIM 3 score on clinical decision-making within the pediatric intensive care unit. The study included [number] critically ill pediatric patients aged 1 mo to 18 y, with data extracted from electronic health records. Statistical analyses, including correlation and regression models, were applied to explore relationships and identify factors influencing clinical decision-making.

Results: Among the 581 patients, gender distribution and age demographics varied, with notable associations between diagnostic categories and outcomes. Survivors exhibited lower PIM 3 scores compared to nonsurvivors. Probability scores related to outcomes revealed distinct patterns, emphasizing the predictive utility of the PIM 3 score.

Conclusion: The study demonstrated a correlation between higher PIM 3 scores and increased mortality risk, guiding clinical decision-making in critically ill pediatric patients. Bridging theory and practice, the findings provide valuable insights for enhancing bedside decision-making and improving the quality of care. Acknowledging contextual factors is crucial for a comprehensive understanding of decision-making processes.

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