Multisite Inventory of Neonatal-Perinatal Interventions (MINI) Minimum Dataset

Purpose

The goal of the Tiny Baby Collaborative Multicenter Inventory of Neonatal-Perinatal Interventions (MINI) minimum dataset is to serve as a registry detailing the outcomes and practices for all deliveries and infants admitted to intensive care at 22-23 weeks' gestation at participating hospitals.

Conditions

  • Infant, Extremely Premature
  • Obstetric Labor, Premature
  • Premature Birth
  • Intensive Care, Neonatal
  • Intensive Care Units, Neonatal

Eligibility

Eligible Ages
Between 0 Years and 1 Year
Eligible Genders
All
Accepts Healthy Volunteers
No

Criteria


Inclusion Criteria:

- All local births with gestational ages of 22 weeks 0 days - 23 weeks 6 days,
regardless of pregnancy outcome or neonatal intensive care (NICU) admission; AND

- All outborn NICU admissions with gestational age at birth of 22 weeks 0 days - 23
weeks 6 days

- Optional: Centers who desire to include data for NICU admissions of infants born <22
weeks' gestation may also submit these data.

Study Design

Phase
Study Type
Observational [Patient Registry]
Observational Model
Cohort
Time Perspective
Prospective

Recruiting Locations

University of Alabama at Birmingham
Birmingham, Alabama 35249
Contact:
Colm Travers, MD
205-934-4680
cptravers@uabmc.edu

More Details

Status
Recruiting
Sponsor
The University of Texas Health Science Center, Houston

Study Contact

Matthew A Rysavy, MD, PhD
713-500-5651
Matthew.A.Rysavy@uth.tmc.edu

Detailed Description

The minimum dataset collects observational baseline data on both mothers and infants, and the therapies used and outcomes of the infants. The data collected include information on: - Demographics of mother and infant - Mother's health, labor and delivery - Infant's health, medical interventions, and clinical outcomes These data are used to: provide participating hospitals with reporting for use in quality improvement; evaluate associations between baseline characteristics, treatments, and outcomes; and track trends in disease and therapy.