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Related Concept Videos

Current Trends in Nursing II01:30

Current Trends in Nursing II

Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...

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Related Experiment Video

Updated: May 16, 2026

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

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Published on: June 6, 2020

Trending elective preterm deliveries using administrative data.

Lisa M Korst1, Moshe Fridman, Michael C Lu

  • 1Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA. korst@usc.edu

Paediatric and Perinatal Epidemiology
|December 11, 2012
PubMed
Summary
This summary is machine-generated.

A new method identifies

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Area of Science:

  • Obstetrics and Gynecology
  • Public Health
  • Health Services Research

Background:

  • Preterm birth (PTB) remains a significant concern in maternal and child health.
  • Identifying elective PTBs is crucial for understanding delivery rationales.
  • Administrative data offers a scalable approach to PTB analysis.

Purpose of the Study:

  • To develop and apply a methodology for identifying and analyzing elective preterm births (PTBs) using administrative data.
  • To provide a framework for exploring reasons behind early deliveries.
  • To establish a method for monitoring trends in elective PTBs.

Main Methods:

  • Utilized California linked birth cohort data from 1999, 2002, and 2005.
  • Identified singleton PTBs (gestational age ≥24 and <37 weeks) using birth certificate data.
  • Employed a hierarchical approach to classify elective PTBs based on medical interventions (caesarean or induction) after excluding 'hard' indications.

Main Results:

  • Over 1.3 million deliveries were analyzed, with 7.2% being preterm.
  • Elective PTBs increased by 27.7% over the study period.
  • Elective late PTB rates rose from 10.5% to 13.5% of all late PTBs, with 'soft' indications including prior pelvic floor repair and mental health conditions.

Conclusions:

  • A robust methodology was developed to identify and trend elective PTBs using administrative data.
  • This method enables the exploration and monitoring of strategies for elective PTB prevention.
  • The findings highlight the need for further investigation into the rationales for non-medically indicated early deliveries.