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

OBSTAT: benchmarking for improvement in obstetrics

    Healthcare Benchmarks
    |November 11, 1999
    PubMed
    Summary
    This summary is machine-generated.

    Implementing a detailed obstetrics database, OBSTAT, at Women's Hospital correlated positively with reduced cesarean delivery rates. This data-driven approach supports efforts to lower cesarean rates through improved practice patterns.

    Related Concept Videos

    You might also read

    Related Articles

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

    Sort by
    Same journal

    Removing patient irritants improves care.

    Healthcare benchmarks·2002
    Same journal

    The patient is the winner in the pursuit of perfection.

    Healthcare benchmarks·2002
    Same journal

    QI focus leads to IT solutions systemwide.

    Healthcare benchmarks·2002
    Same journal

    Agencies start TalkingQuality, give hospitals tools to educate public.

    Healthcare benchmarks·2002
    Same journal

    Simple solutions: clinical training for the whole staff.

    Healthcare benchmarks·2002
    Same journal

    Hospital security a top issue says survey.

    Healthcare benchmarks·2002

    Area of Science:

    • Obstetrics and Gynecology
    • Health Informatics
    • Clinical Data Management

    Background:

    • High cesarean delivery rates remain a significant concern in maternal healthcare.
    • Effective data collection and analysis are crucial for identifying trends and improving obstetric practices.
    • Customized databases can offer tailored solutions for specific clinical settings.

    Purpose of the Study:

    • To evaluate the impact of a custom obstetrics database (OBSTAT) on cesarean delivery rates.
    • To assess the utility of detailed patient and practice pattern data in quality improvement initiatives.
    • To determine if in-house data management can influence clinical decision-making and outcomes.

    Main Methods:

    • Development and implementation of an in-house, custom obstetrics database named OBSTAT.

    Related Experiment Videos

  • Collection and storage of comprehensive obstetrical clinical data, including patient information and practice patterns.
  • Analysis of the correlation between OBSTAT utilization and changes in cesarean delivery rates over time.

    • Main Results:

    • Utilization of the OBSTAT database was positively correlated with a reduction in cesarean delivery rates.
    • The detailed data captured by OBSTAT provided insights into practice patterns influencing delivery modes.
    • The hospital observed a measurable decrease in cesarean rates following the implementation of OBSTAT.

    Conclusions:

    • A detailed obstetrics database can be an effective tool for reducing cesarean delivery rates.
    • In-house data management systems like OBSTAT can positively influence obstetric care quality.
    • Data-driven insights are valuable for guiding interventions aimed at optimizing birth outcomes.