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Predictive model for the risk of paediatric intensive care utilization in children with medical complexity: A
Bibiana Pérez-Ardanaz1,2, Laura Gutiérrez-Rodríguez2,3, Alberto José Gómez-González2,3
1Department of Nursing, Faculty of Health Sciences, Universidad de Granada, Granada, Spain.
Insights
Children with medical complexity (CMC) face higher intensive care risks. Maternal education and age are protective factors, suggesting socio-demographic considerations can prevent paediatric intensive care unit (PICU) admissions.
Area of Science:
- Pediatric critical care medicine
- Health services research
- Social determinants of health
Background:
- Children with medical complexity (CMC) have elevated risks of intensive care unit (ICU) admission.
- Despite improved mortality, CMC experience significant morbidity, long-term healthcare needs, and hospital readmissions.
- Socio-demographic factors, beyond clinical aspects, may influence acute service utilization in CMC.
Purpose of the Study:
- To identify risk factors distinguishing CMC admitted to the paediatric intensive care unit (PICU).
- To explore the impact of clinical, socio-demographic, and healthcare utilization variables on PICU admission risk.
Main Methods:
- A 6-year longitudinal retrospective cohort study.
- Evaluation of clinical data, socio-demographic information, and healthcare utilization patterns.
- Statistical analysis including hazard ratios (HR) and multivariable analysis.
Main Results:
- The study included 248 CMC, with a 47.2% PICU admission rate.
- Surgical interventions (HR=1.58) and home medical devices (HR=1.81) increased PICU admission risk.
- Higher maternal educational level (HR=0.66) was a protective factor; age and maternal education were protective in multivariable analysis.
Conclusions:
- Socio-demographic factors, particularly maternal education, are crucial in managing CMC care.
- Individualized assessments considering socio-economic determinants can potentially prevent PICU admissions.
- Integrating socio-demographic risk assessments into clinical practice, especially for paediatric nurses, can optimize care and support interventions.
Background:
Children with medical complexity (CMC) are at increased risk of admission in intensive care. Despite improvements in mortality rates, there remains a burden of morbidity, long-term health care needs and hospital readmissions. Beyond clinical factors, socio-demographic determinants could impact utilization of acute services.
Aim:
To identify risk factors that can differentiate CMC who are admitted to the paediatric intensive care unit (PICU).
Study Design:
A 6-year longitudinal retrospective cohort study evaluated clinical, socio-demographic and health care utilization.
Results:
A total of 248 CMC were included, with a median age of 13 years (9.75-17.00). Intensive care admission rate was 47.2%. The risk of PICU admission was higher for children undergoing surgical interventions (HR = 1.58, 95% CI 1.34-1.86, p < .001) and those using medical devices (HR = 1.81, 95% CI 1.54-2.13, p < .001). Mother's higher educational level was a protective factor (HR = 0.66, 95% CI 0.55-0.79, p < .001). Multivariable analysis revealed significant associations between risk of admission and the presence of malignancy, comorbidities, home medical devices, surgical procedures and higher health care utilization. Children's age and higher maternal educational level acted as protective factors.
Conclusion:
Socio-demographic factors should be considered in the provision of care to CMC. Individualized assessments to guide supportive interventions adapted to socio-economic factors may prevent PICU admissions.
Relevance To Clinical Practice:
This study highlights the importance of integrating individualized assessments of socio-demographic risk factors, such as maternal educational level, into the clinical practice of paediatric nurses. Moreover, targeted interventions, including educational resources and community support programmes, may optimize care.
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