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Related Experiment Video

Updated: May 10, 2026

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
14:43

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

Collaborative networks for both improvement and research.

Carolyn M Clancy1, Peter A Margolis, Marlene Miller

  • 1Agency for Healthcare Research and Quality, Rockville, Maryland, USA. carolyn.clancy@ahrq.hhs.gov

Pediatrics
|June 5, 2013
PubMed
Summary
This summary is machine-generated.

Collaborative improvement networks accelerate the translation of therapeutic discoveries into practice by engaging diverse stakeholders. These networks facilitate patient-centered outcomes research and health care delivery changes, especially for pediatric interventions.

Keywords:
Learning Healthcare SystemLearning NetworksRapid Learning Networksquality improvement

Related Experiment Videos

Last Updated: May 10, 2026

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
14:43

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

Area of Science:

  • Biomedical research translation
  • Health services research
  • Pediatric therapeutic development

Background:

  • Translating therapeutic discoveries into clinical practice requires T2 (patient-centered outcomes) and T3 (healthcare delivery) research.
  • Pediatric research often lacks sufficient evidence for therapeutic safety and efficacy.
  • Collaborative improvement networks offer a model for advancing research translation.

Purpose of the Study:

  • To highlight the role of collaborative improvement networks in advancing T2 and T3 research.
  • To emphasize the utility of these networks for pediatric therapeutic translation.
  • To align with the Institute of Medicine's Learning Healthcare Systems model.

Main Methods:

  • Utilizing collaborative networks as large-scale health system laboratories.
  • Engaging clinicians, researchers, patients, and parents in research translation.
  • Establishing total population registries for large, representative study samples.
  • Employing quality-improvement methods to standardize care and reduce outcome variation.

Main Results:

  • Networks facilitate the testing of approaches to translate research into practice.
  • They provide robust data for evidence generation and clinical decision-making.
  • Standardized practices reduce outcome variability and increase statistical power for new strategy testing.

Conclusions:

  • Collaborative improvement networks are vital for pediatric T2 and T3 research.
  • These networks support the Institute of Medicine's Learning Healthcare Systems model.
  • Networks enable both care improvement and the study of improvement strategies.