Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Risk adjustment for quality improvement

D Richardson1, W O Tarnow-Mordi, S K Lee

  • 1Joint Program in Neonatology (Beth Israel Deaconess Medical Center, Brigham and Women's Hospital, Children's Hospital and Harvard Medical School) and Harvard School of Public Health, Boston, MA, USA.

Pediatrics
|January 26, 1999
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Position statement from the British Society of Blood and Marrow Transplantation and Cellular Therapy on insertional oncogenesis in gene-engineered advanced cell therapy products for treatment of haematological disorders.

British journal of haematology·2025
Same author

Physical injury in men after sexual assault: An analysis of 137 cases.

Forensic science international·2024
Same author

Women attending the sexual assault treatment unit services in the Republic of Ireland: A 7-year review.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics·2024
Same author

Dura-based automated vault expansion remodelling (DAVE-R): automated planning of volume expansion in fronto-orbital advancement for trigonocephaly.

Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery·2024
Same author

Storage of evidence and delayed reporting after sexual assault: Rates and impact factors on subsequent reporting.

Journal of forensic and legal medicine·2024
Same author

Evaluating the prospective utility of pharmacogenetics reporting among Canadian Armed Forces personnel receiving pharmacotherapy: a preliminary assessment towards precision psychiatric care.

BMJ military health·2023

Comparing neonatal intensive care unit outcomes requires risk adjustment to account for patient differences. Properly adjusted comparisons drive quality improvement and enhance newborn care outcomes.

Area of Science:

  • Neonatal Medicine
  • Health Services Research
  • Biostatistics

Background:

  • Neonatal intensive care unit (NICU) outcomes vary due to differences in patient populations (case-mix).
  • Accurate comparisons of NICU performance are crucial for quality improvement initiatives.
  • Randomization is not always feasible, necessitating robust risk adjustment methods.

Purpose of the Study:

  • To outline the principles and methods for risk adjustment in comparing neonatal intensive care unit outcomes.
  • To discuss the development and utility of severity of illness scoring systems for newborns.
  • To highlight considerations for interpreting risk-adjusted comparative data.

Main Methods:

  • Defining specific outcomes and identifying/weighting relevant risk factors.

Related Experiment Videos

  • Utilizing physiology-based items from vital signs and laboratory tests for severity scoring.
  • Employing multivariate models for risk factor weighting and score development.

    • Main Results:

    • Severity of illness scores are a key form of risk adjustment in neonatal care.
    • Score development involves careful item selection, definition, collection, and bias assessment.
    • Multivariate modeling is typically used for weighting risk factors.

    Conclusions:

    • Appropriate risk adjustment is essential for fair comparisons of neonatal intensive care unit performance.
    • Interpretation of risk-adjusted data requires attention to benchmark populations, sample size, and potential biases.
    • Effective risk adjustment can guide quality improvement efforts and lead to better patient outcomes.