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Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
Purpose of Health Records I01:11

Purpose of Health Records I

The vital purpose of health records is to provide a complete and accurate account of a patient's medical history, including communication, diagnostic and therapeutic orders, care planning, research, and quality review.
Here's a breakdown of how health records serve these purposes:
Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
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.
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Investigation of Disease Outbreaks01:23

Investigation of Disease Outbreaks

Multistate foodborne outbreaks pose significant public health risks and require meticulous investigation to identify sources and implement control measures. The Centers for Disease Control and Prevention (CDC) utilizes a dynamic seven-step process for these investigations, integrating data from laboratories, interviews, and environmental assessments to protect public health.Outbreak Detection: The detection of multistate outbreaks typically begins with PulseNet, the CDC's national laboratory...

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Related Experiment Videos

Child Health Research Using linked Multi-domain Canadian Administrative Data: A Scoping Review.

Yen My Vuu1, Marcelo L Urquia1, Lisa M Lix1

  • 1College of Community and Global Health, Rady Faculty of Health Sciences, University of Manitoba, Canada.

International Journal of Population Data Science
|July 14, 2026
PubMed
Summary

Canadian child health studies using linked health and non-health administrative data are concentrated in a few provinces. Expanding data linkage is key to understanding child health influences nationwide.

Keywords:
evidence synthesispaediatric researchparental linkagepopulation-based researchrecord linkage

Related Experiment Videos

Area of Science:

  • Public Health Research
  • Health Informatics
  • Epidemiology

Background:

  • Linked administrative data integrating health and non-health information supports population-based research on child health determinants.
  • Database linkage studies offer comprehensive insights beyond single-source data.
  • The extent of Canadian child health studies utilizing linked multi-domain administrative data is not well-understood.

Purpose of the Study:

  • To describe Canadian population-based child health studies that employed linked multi-domain administrative data (health and non-health).

Main Methods:

  • A systematic literature search was performed across major databases (MEDLINE, Embase, Scopus, Global Health) until March 2025.
  • Inclusion criteria focused on studies involving children (0-18 years), Canadian administrative data, and linked health with non-health information.
  • Data extraction included study characteristics, geographic focus, parental linkage, and non-health variables.

Main Results:

  • Out of 4,437 articles, 42 met the inclusion criteria for this scoping review.
  • Studies were predominantly conducted in Manitoba (45%) and Ontario (36%).
  • Maternal linkage was frequent, while paternal linkage was limited; immigration status was the most common non-health variable. Health service use, particularly preventive care, was a frequent research theme. No multi-jurisdictional studies were identified.

Conclusions:

  • Child health studies using linked multi-domain administrative data are geographically concentrated in Canada.
  • Enhancing parental linkage, incorporating diverse non-health variables, and fostering multi-jurisdictional collaborations are essential.
  • These advancements are critical for a comprehensive population-based understanding of factors influencing child health across Canada.