Evidence map›Paper›PMID 31911952›Full record

ArticleJournal of early hearing detection and intervention2019

Evaluating Data Quality of Newborn Hearing Screening.

Maria C Sanchez-Gomez, Kelly Dundon, Xidong Deng

Abstract read
In one paragraph

Article in Journal of early hearing detection and intervention, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

3 authors.

Maria C Sanchez-GomezCarter Consulting Inc., Atlanta, GA.
Kelly DundonCarter Consulting Inc., Atlanta, GA.
Xidong DengCenters for Disease Control and Prevention, Atlanta, GA.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

scopeJurisdictional-based Early Hearing Detection and Intervention Information Systems (EHDI-IS) collect data on the hearing screening and follow-up status of infants across the United States. These systems serve as tools that assist EHDI programs' staff and partners in their tracking activities and provide a variety of data reports to help ensure that all children who are deaf/hard of hearing (DHH) are identified early and receive recommended intervention services. The quality and timeliness of the data collected with these systems are crucial to effectively meeting these goals. METHODOLOGY: Forty-eight EHDI programs, funded by the Centers for Disease Control and Prevention (CDC), successfully evaluated the accuracy, completeness, uniqueness, and timeliness of the hearing screening data as well as the acceptability (i.e., willingness to report) of the EHDI-IS among data reporters (2013-2016). This article describes the evaluations conducted and presents the findings from these evaluation activities.

conclusionsMost state EHDI programs are receiving newborn hearing screening results from hospitals and birthing facilities in a consistent way and data reporters are willing to report according to established protocols. However, additional efforts are needed to improve the accuracy and completeness of reported demographic data, results from infants transferred from other hospitals, and results from infants admitted to the Neonatal Intensive Care Unit.

Indexed as

Data QualityEvaluationFunctional StandardsLogic ModelSystem Attributes

Identifiers

PMID31911952
PMCPMC6945814

What OpenQuestion holds

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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.