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'So why didn't you think this baby was ill?' Decision-making in acute paediatrics
Damian Roland1,2, Edward Snelson3,4
1SAPPHIRE Group, Health Sciences, Leicester University, Leicester, UK.
Insights
Accurate risk assessment in pediatric care is crucial. Factors like physiology, communication, and clinician experience influence decisions and patient outcomes in acute settings.
Area of Science:
- Pediatric Medicine
- Clinical Decision-Making
- Risk Assessment
Background:
- Effective risk assessment is fundamental to acute pediatric practice.
- Clinical decisions in pediatrics are complex and multifactorial.
- Understanding influences on decision-making is key to improving patient outcomes.
Purpose of the Study:
- To review factors influencing clinical decision-making in acute pediatric practice.
- To explore the impact of disease incidence and clinician seniority on outcomes.
- To provide insights for optimizing risk assessment and patient management.
Main Methods:
- Literature review of factors affecting clinical judgment.
- Analysis of physiological, communication, and heuristic elements.
- Discussion of external factors and their role in decision-making.
Main Results:
- Physiology, communication, heuristics, and external factors significantly influence pediatric decision-making.
- Disease incidence and clinician seniority are identified as impacting patient outcomes.
- The review synthesizes key elements critical for effective acute pediatric care.
Conclusions:
- Optimizing clinical decision-making requires consideration of multiple influencing factors.
- Awareness of these factors can lead to improved risk assessment and patient management.
- Further research into the interplay of these elements can enhance pediatric practice.
Abstract:
Determining severity of illness and undertaking an adequate risk assessment is a fundamental part of acute paediatric practice. This review highlights physiology, communication, heuristics and external elements as factors which influence decision-making and discusses how incidence of disease and seniority of clinician impact might influence outcomes.