Related Experiment Video

Updated: Feb 11, 2026

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3
11:10

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3

Published on: December 27, 2010

12.8K

Predicting risk of hospitalisation: a retrospective population-based analysis in a paediatric population in

Daniel Z Louis1, Clara A Callahan1, Mary Robeson1

  • 1Center for Medical Research in Medical Education and Health Care, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania, USA.

BMJ Open
|May 7, 2018
PubMed

Insights

This study developed a predictive model to identify children at high risk of hospitalization. The model, using administrative data, successfully identified children needing targeted care interventions.

Area of Science:

  • Pediatric Health Services Research
  • Health Informatics
  • Epidemiology

Background:

  • Identifying at-risk pediatric populations is crucial for proactive healthcare management.
  • Administrative healthcare databases offer a valuable resource for population health analysis.

Purpose of the Study:

  • To develop and evaluate predictive models for identifying children at risk of hospitalization.
  • To provide actionable information for pediatricians and health authorities to improve patient care.

Main Methods:

  • Retrospective analysis of a longitudinal administrative database (2006-2014).
  • Multivariable logistic regression models used to predict risk of hospitalization or death in 2015.
  • Model performance evaluated using C-statistic, calibration, sensitivity, specificity, and positive predictive value.

Main Results:

  • A predictive model was developed for 527,458 children (aged 1-13) in the Emilia-Romagna region, Italy.
  • The model identified 9.4% of children as 'At Higher Risk,' with a hospitalization risk over four times higher than the general population.
  • The model demonstrated good performance with a C-statistic of 0.78 and was well-calibrated.

Conclusions:

  • Population-based predictive models for pediatric hospitalization risk are feasible using administrative data.
  • Providing risk profiles aids healthcare professionals in planning interventions to reduce preventable hospitalizations.
Abstract

Keywords:
paediatric populationpopulation-based studypredictive risk modeling

More Related Videos

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling20:36

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

9.2K
Automated Analysis of a Nematode Population-based Chemosensory Preference Assay09:44

Automated Analysis of a Nematode Population-based Chemosensory Preference Assay

Published on: July 13, 2017

7.9K

Related Concept Videos

Conservation of Small Populations02:04

Conservation of Small Populations

Small population sizes put a species at extreme risk of extinction due to a lack of variation, and a consequent decrease in adaptability. This weakens the chances of survival under pressures such as climate change, competition from other species, or new diseases. Large populations are more likely to survive pressures such as these, as such populations are more likely to harbor individuals that have genetic variants that are adaptive under new stresses. Small populations are much less...
17.4K
What is Population Genetics?01:25

What is Population Genetics?

A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
64.9K
Population Growth00:57

Population Growth

Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
28.7K
What are Populations and Communities?00:30

What are Populations and Communities?

Overview
38.0K
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
814
Conservation of Declining Populations02:07

Conservation of Declining Populations

Conservation of declining population focuses on ways of detecting, diagnosing, and halting a population decline. The approach uses methods to prevent populations from going extinct.
13.4K