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

Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

661
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
661
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

503
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
503
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

1.1K
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
1.1K
Study Design in Statistics01:15

Study Design in Statistics

10.1K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
10.1K
Odds Ratio01:09

Odds Ratio

2.0K
The odds ratio (OR) is a statistical measure used extensively in epidemiology and research to quantify the strength of association between exposure and outcome across different groups. Unlike relative risk, which compares the probabilities of an event occurring, the odds ratio compares the odds of an event occurring in the exposed group to the odds of it occurring in the unexposed group. The odds, in this context, are calculated as the probability of the event happening divided by the...
2.0K
Nominal Level of Measurement00:56

Nominal Level of Measurement

40.5K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. Not every statistical operation can be used with every set of data. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
The data that cannot be measured but can be grouped into categories fall under the nominal level of measurement. Data that is measured using a nominal...
40.5K

You might also read

Related Articles

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

Sort by
Same author

Flipped classroom - a qualitative study of medical students.

Tidsskrift for den Norske laegeforening : tidsskrift for praktisk medicin, ny raekke·2026
Same author

Herpes Simplex Virus 1 Encephalitis in First Trimester of Pregnancy: A Case Report.

Case reports in obstetrics and gynecology·2026
Same author

Reporting the QUALI-DEC intervention to optimize cesarean section use in low- and middle-income countries: A TIDieR-based description.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics·2026
Same author

An Intrapartum Cesarean Delivery Classification System - a prospective eighteen year longitudinal cohort study.

American journal of obstetrics and gynecology·2026
Same author

Implementation of the Intrapartum Cesarean Delivery Classification System: a prospective observational study.

American journal of obstetrics and gynecology·2026
Same author

Why do we have an age threshold for free NIPT testing?

Tidsskrift for den Norske laegeforening : tidsskrift for praktisk medicin, ny raekke·2025

Related Experiment Video

Updated: Feb 26, 2026

Assessment of the Efficacy of An Osteopathic Treatment in Infants with Biomechanical Impairments to Suckling
07:11

Assessment of the Efficacy of An Osteopathic Treatment in Infants with Biomechanical Impairments to Suckling

Published on: February 5, 2019

9.7K

A method to assess obstetric outcomes using the 10-Group Classification System: a quantitative descriptive study.

Janne Rossen1,2, Miha Lucovnik3, Torbjørn Moe Eggebø2,4,5

  • 1Department of Obstetrics and Gynecology, Sørlandet Hospital HF Kristiansand, Kristiansand, Norway.

BMJ Open
|July 15, 2017
PubMed
Summary
This summary is machine-generated.

The 10-Group Classification System (TGCS) can assess various labor and delivery outcomes beyond just caesarean rates. This standardized method allows for objective analysis and international comparisons of obstetric care quality.

Keywords:
Caesareansectioncore outcomelabouroutcomeneonatal outcomequality of carethe 10-Group Classification System

More Related Videos

Anogenital Distance and Perineal Measurements of the Pelvic Organ Prolapse POP Quantification System
03:49

Anogenital Distance and Perineal Measurements of the Pelvic Organ Prolapse POP Quantification System

Published on: September 20, 2018

21.2K
Using Learning Outcome Measures to assess Doctoral Nursing Education
10:07

Using Learning Outcome Measures to assess Doctoral Nursing Education

Published on: June 21, 2010

19.6K

Related Experiment Videos

Last Updated: Feb 26, 2026

Assessment of the Efficacy of An Osteopathic Treatment in Infants with Biomechanical Impairments to Suckling
07:11

Assessment of the Efficacy of An Osteopathic Treatment in Infants with Biomechanical Impairments to Suckling

Published on: February 5, 2019

9.7K
Anogenital Distance and Perineal Measurements of the Pelvic Organ Prolapse POP Quantification System
03:49

Anogenital Distance and Perineal Measurements of the Pelvic Organ Prolapse POP Quantification System

Published on: September 20, 2018

21.2K
Using Learning Outcome Measures to assess Doctoral Nursing Education
10:07

Using Learning Outcome Measures to assess Doctoral Nursing Education

Published on: June 21, 2010

19.6K

Area of Science:

  • Obstetrics and Gynecology
  • Perinatal Epidemiology
  • Health Services Research

Background:

  • The 10-Group Classification System (TGCS) is internationally recognized for reporting caesarean section rates.
  • Analysis of a broader range of labor and delivery outcomes is recommended for comprehensive assessment.
  • Routine collection of perinatal data offers opportunities for enhanced outcome analysis.

Purpose of the Study:

  • To present the 10-Group Classification System (TGCS) as a method for assessing diverse outcomes of labor and delivery.
  • To demonstrate the utility of TGCS using routine perinatal information.
  • To highlight the potential of TGCS for standardized quality assessment in maternity care.

Main Methods:

  • A methodological study describing the application of the TGCS.
  • Inclusion of data from three distinct perinatal databases: Stavanger University Hospital (Norway), National Maternity Hospital (Ireland), and Slovenian National Perinatal Database (Slovenia).
  • Classification of women within the TGCS incorporating multiple obstetric events and outcomes, including caesarean sections, augmentation, analgesia, operative deliveries, perineal trauma, hemorrhage, and perinatal deaths.

Main Results:

  • Significant variations were observed in the size of patient groups across the three databases.
  • Incidences of various events and outcomes within the TGCS differed significantly between the participating perinatal databases.
  • The study demonstrates the capacity of TGCS to capture and differentiate outcomes across different settings.

Conclusions:

  • The TGCS provides a standardized, objective framework for incorporating and analyzing labor and delivery events and outcomes.
  • Agreement on core obstetric events and outcomes is crucial for establishing standards of care.
  • This classification system facilitates continuous observation, interpretation, and international comparison of maternity care quality.