Evidence map›Paper›PMID 29275460›Full record

ArticleMaternal and child health journal2018

Implementation of a Regional Perinatal Data Repository from Clinical and Billing Records.

Eric S Hall, James M Greenberg, Louis J Muglia, Parth Divekar, Janet Zahner, Jay Gholap, Matt Leonard, Keith Marsolo

Abstract read
In one paragraph

Article in Maternal and child health journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Eric S HallPerinatal Institute, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, ML 7009, Cincinnati, OH, 45229, USA. Eric.Hall@cchmc.org.
James M GreenbergPerinatal Institute, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, ML 7009, Cincinnati, OH, 45229, USA.
Louis J MugliaPerinatal Institute, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, ML 7009, Cincinnati, OH, 45229, USA.
Parth DivekarDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Janet ZahnerDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Jay GholapDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Matt LeonardPerinatal Institute, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, ML 7009, Cincinnati, OH, 45229, USA.
Keith MarsoloDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.

Funding

LCenter for Clinical and Translational Science and TrainingUL1TR001425 · NCATS · UNIVERSITY OF CINCINNATI · PI MEINZEN-DERR, JAREEN, STRAWN, JEFFREY ROBERT · 2015 to 2024
$37.5M
NCATS NIH HHS 5UL1TR001425-02NCATS NIH HHS UL1 TR001425
6 · The paper itself

Abstract

Objectives To describe the implementation of the first phase of a regional perinatal data repository and to provide a roadmap for others to navigate technical, privacy, and data governance concerns in implementing similar resources. Methods Our implementation integrated regional physician billing records with maternal and infant electronic health records from an academic delivery hospital. These records, representing births during 2013-2015, constituted a data core supporting linkage to additional ancillary data sets. Measures obtained from pediatric follow-up, urgent care, emergency, and inpatient encounters were linked at the individual level as were measures obtained by home visitors during pre- and postnatal encounters. Residential addresses were geocoded supporting linkage to area-level measures. Results Integrated data contained regional billing records for 69,290 newborns representing approximately 81% of all regional live births and nearly 95% of live births in the region's most populous county. Billing records linked to 7293 infant delivery hospital records and 7107 corresponding maternal hospital records. Manual review demonstrated 100% validity of matches among audited records. Additionally, 2430 home visiting records were linked to the data core as were pediatric primary care, urgent care, emergency department, and inpatient visits representing 42,541 children. More than 99% of the newborn billing records were geocoded and assigned a census tract identifier. Conclusions for Practice Our approach to methodological and regulatory challenges affords opportunities for expansion of systems to integrate electronic health records originating from additional medical centers as well as individual- and area-level linkage to additional data sets relevant to perinatal health.

Indexed as

Electronic Health RecordsPopulation HealthBirth CertificatesDatasets as TopicFemaleHumansInfantInfant, NewbornMedical Record LinkagePerinatal CarePregnancyInfantMedical record linkageMothersPopulation healthPregnancy

Identifiers

PMID29275460
PMCPMC5857228

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.