The epidemiology of outpatient pain treatment in pediatrics

Stacy Baldridge1, Laura Wallace1, Aditi Kadakia1

  • 1Purdue Pharma L.P., Stamford, CT, USA.

Insights

Real-world data reveals significant variation in pediatric pain treatment. Many children with pain conditions do not receive prescription treatments, and opioid use is common, particularly immediate-release formulations.

Area of Science:

  • Pediatric Pain Management
  • Real-World Evidence in Healthcare
  • Pharmacological Treatments for Children

Background:

  • Limited real-world data exists on pediatric pain prevalence and treatment.
  • Understanding pediatric pain is crucial for provider education and guideline development.
  • This study addresses the need for population-level insights into childhood pain conditions.

Purpose of the Study:

  • To determine the prevalence of acute and chronic pain conditions in pediatric patients.
  • To characterize the treatment landscape for pediatric pain, including various analgesic classes.
  • To analyze treatment patterns across different demographics and pain etiologies.

Main Methods:

  • Utilized administrative claims data from over 30 million US pediatric patients.
  • Employed descriptive statistics to analyze pain diagnoses and treatment proportions.
  • Stratified analyses by patient demographics (e.g., insurance type, age).

Main Results:

  • Surgery, orthopedic conditions, and trauma were leading pain-related diagnoses in children.
  • Over 50% of children with evaluated conditions did not receive prescription pain treatments.
  • Immediate-release opioids were the most common prescription opioid for pain, while extended-release were rare.

Conclusions:

  • Pediatric pain treatment is highly variable, depending on the condition and patient age.
  • Treatment patterns show a higher prevalence of use in older children.
  • Significant gaps exist in prescription pain management for pediatric populations.
Abstract

Related Concept Videos

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,...
1.9K
Causality in Epidemiology01:21

Causality in Epidemiology

Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
1.7K
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...
1.0K
Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
856
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:  
1.4K
Pain01:20

Pain

Pain serves as a critical warning signal that alerts the body to potential or actual harm. When mechanical pressure on the skin is intense, such as from a sharp pinch, the sensation transitions from touch to pain. Similarly, extreme temperatures, like a hot pot handle, convert the sensation of heat into pain. Pain can also result from overstimulation of other senses, such as blinding light, loud noise, or the intense heat from habañero peppers. This ability to sense pain is essential for...
1.4K