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 Concept Videos

Interpreting Run Charts01:25

Interpreting Run Charts

Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
Variability: Analysis01:11

Variability: Analysis

Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Healthcare Associated Infections I: Iatrogenic, Exogenic and Endogenic01:26

Healthcare Associated Infections I: Iatrogenic, Exogenic and Endogenic

Healthcare-associated infections (HAIs) occur in a healthcare facility while a person receives care for another ailment. This category also includes work-related infections among healthcare staff.
HAIs significantly increase the cost of health care. Extended stays in healthcare institutions, increased disability, increased costs of medications, including specialized antibiotics, and prolonged recovery times add to the patient's expenses and the healthcare institution and funding bodies. Common...
Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...

You might also read

Related Articles

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

Sort by
Same author

Interventional radiology in obstetric patients: A population-based record linkage study of use and outcomes.

Acta obstetricia et gynecologica Scandinavica·2023
Same author

Benefits of not smoking during pregnancy for non-Aboriginal women and their babies in New South Wales, Australia: a record linkage study.

International journal of population data science·2021
Same author

Maternal factors and risk of spontaneous preterm birth due to high ambient temperatures in New South Wales, Australia.

Paediatric and perinatal epidemiology·2021
Same author

Health care provider support and factors associated with breastfeeding beyond infancy: A cross-national study.

Birth (Berkeley, Calif.)·2021
Same author

Reporting of gestational diabetes and other maternal medical conditions: validation of routinely collected hospital data from New South Wales, Australia.

International journal of population data science·2021
Same author

Validation of anaemia, haemorrhage and blood disorder reporting in hospital data in New South Wales, Australia.

BMC research notes·2021

Related Experiment Video

Updated: May 8, 2026

External Cephalic Version: Is it an Effective and Safe Procedure?
08:49

External Cephalic Version: Is it an Effective and Safe Procedure?

Published on: June 6, 2020

Unexplained variation in hospital caesarean section rates.

Yuen Yi Cathy Lee1, Christine L Roberts, Jillian A Patterson

  • 1University of Sydney, Sydney, Australia. christine.roberts@sydney.edu.au

The Medical Journal of Australia
|September 3, 2013
PubMed
Summary

Hospital caesarean section rates vary significantly, with unexplained differences persisting after case-mix adjustment. Reducing practice variation in key risk groups could lower overall rates, improving maternity care.

More Related Videos

An Experimental Paradigm for the Prediction of Post-Operative Pain (PPOP)
14:56

An Experimental Paradigm for the Prediction of Post-Operative Pain (PPOP)

Published on: January 27, 2010

Related Experiment Videos

Last Updated: May 8, 2026

External Cephalic Version: Is it an Effective and Safe Procedure?
08:49

External Cephalic Version: Is it an Effective and Safe Procedure?

Published on: June 6, 2020

An Experimental Paradigm for the Prediction of Post-Operative Pain (PPOP)
14:56

An Experimental Paradigm for the Prediction of Post-Operative Pain (PPOP)

Published on: January 27, 2010

Area of Science:

  • Obstetrics and Gynecology
  • Public Health
  • Health Services Research

Background:

  • Caesarean section (CS) rates exhibit considerable variation across hospitals.
  • Understanding and addressing this variation is crucial for optimizing maternity care outcomes.

Purpose of the Study:

  • To assess hospital-specific CS rates in New South Wales, adjusted for patient case mix.
  • To quantify the impact of case mix on CS rate variation.
  • To examine the potential of reducing practice variation to lower overall CS rates.

Main Methods:

  • A population-based record linkage study of 81 hospitals in New South Wales (2009-2010).
  • Utilized the Robson classification to categorize births.
  • Employed multilevel logistic regression to analyze variation in CS rates within Robson groups.

Main Results:

  • Overall CS rate was 30.9%, with significant hospital-level variation (11.8%–47.4%).
  • High contributors to CS rates included previous CS, nulliparous women with elective delivery, and nulliparous women in spontaneous labor.
  • Unexplained variation persisted in nulliparous women, previous CS, multifetal pregnancies, and preterm births after case-mix adjustment.

Conclusions:

  • Significant unexplained hospital heterogeneity in CS performance exists.
  • Targeting five identified risk-based groups for evidence-based practice implementation can reduce CS rates.
  • Reducing practice variation holds potential for improving maternity care quality and efficiency.