Related Experiment Video

Updated: Jul 5, 2025

Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis
04:05

Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis

Published on: June 30, 2023

1.9K

Evaluation of Insurance Type as a Proxy for Socioeconomic Status in the Pediatric Emergency Department: A Pilot Study

Michael C Monuteaux1, Michelle Du1, Mark I Neuman1

  • 1Division of Emergency Medicine, Boston Children's Hospital, Boston, MA.

Annals of Emergency Medicine
|January 20, 2024
PubMed

Insights

Insurance status is an unreliable proxy for socioeconomic status in pediatric emergency medicine research. This study found insurance misclassified socioeconomic status in up to 23% of children, indicating potential bias in research.

Area of Science:

  • Pediatric Emergency Medicine
  • Health Services Research
  • Socioeconomic Determinants of Health

Background:

  • Socioeconomic status (SES) is a critical determinant of health outcomes.
  • Insurance status is often used as a proxy for SES in health research.
  • The validity of using insurance status as a proxy for SES in pediatric emergency medicine is not well established.

Purpose of the Study:

  • To evaluate the accuracy of insurance status as a proxy for socioeconomic status in pediatric emergency medicine research.
  • To determine the concordance between insurance status and direct measures of SES (caregiver education and household income).

Main Methods:

  • A cross-sectional pilot study was conducted with 300 pediatric patients (ages 5-17) in a children's hospital emergency department.
  • Socioeconomic status was assessed using caregiver education level and household income.
  • Misclassification rates of insurance status (public vs. private) were calculated using education and income as reference standards.

Main Results:

  • Insurance status misclassified socioeconomic status in 23% of patients when using caregiver education as the reference.
  • Insurance status misclassified socioeconomic status in 14% of patients when using household income as the reference.
  • Findings highlight significant discrepancies between insurance and direct SES measures.

Conclusions:

  • Insurance status is an inadequate proxy for socioeconomic status in pediatric emergency medicine research, leading to potential bias.
  • Researchers should carefully consider the limitations of using insurance status to adjust for SES.
  • Further validation in larger, diverse populations, including adults, is recommended.
Abstract

More Related Videos

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.5K
Assessment of Child Anthropometry in a Large Epidemiologic Study09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

27.1K

Related Concept Videos

Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
274
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
129
Introduction to Epidemiology01:26

Introduction to Epidemiology

Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
732
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
195
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
220