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Updated: Dec 8, 2025

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

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Development of a core data set for pelvic floor disorder patients registry

Masoumeh Abdi Reyhan1, Shahla Damanabi1, Leila R Kalankesh1,2

  • 1Department of Health Information Technology, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran.

Lower Urinary Tract Symptoms
|September 17, 2020
PubMed

Insights

This study developed a core dataset for pelvic floor disorders (PFDs) to improve clinical decisions. The standardized data elements will enhance research and patient care quality.

Area of Science:

  • Public Health
  • Clinical Informatics
  • Gynecology

Background:

  • Pelvic floor disorders (PFDs) are a growing public health concern.
  • There is a need for standardized data to support clinical decision-making in PFD management.

Purpose of the Study:

  • To develop a core dataset for patients with PFDs.
  • To establish a foundation for a PFD registry.

Main Methods:

  • A descriptive cross-sectional study was conducted in 2019.
  • Literature review of electronic databases (PubMed, Embase, Google Scholar) and assessment of clinical data systems.
  • The Delphi technique and expert panel review were used to determine consensus on data elements.

Main Results:

  • A dataset of 65 data items for PFDs was initially identified from literature.
  • The Delphi survey resulted in 74 expert-determined data elements.
  • The final dataset was categorized into demographic (12 elements) and clinical (62 elements) components.

Conclusions:

  • The developed dataset standardizes PFD data, ensuring accuracy, consistency, and completeness.
  • This core dataset can facilitate valuable research for clinicians and healthcare systems.
  • Implementation of this dataset has the potential to improve patient care quality and control healthcare costs.
Abstract

Keywords:
information systemsminimum data setpelvic floor disordersregistryurinary incontinence

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