Evidence map›Paper›PMID 39897606›Full record

ArticleJournal of registry management2024

Enhancing Data Quality in a Statewide Birth Defects Registry: Insights from an Ongoing Quality Improvement Initiative.

Rebecca Howell, Rachel Allred, Dayana Betancourt, Caitlyn Yantz, TBDR Quality Assurance Team, A J Agopian, Charles Shumate

Abstract read
In one paragraph

Article in Journal of registry management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Rebecca HowellTexas Department of State Health Services, Birth Defects Epidemiology and Surveillance Branch (BDESB) and Texas Birth Defects Registry (TBDR).
Rachel AllredTexas Department of State Health Services, Birth Defects Epidemiology and Surveillance Branch (BDESB) and Texas Birth Defects Registry (TBDR).
Dayana BetancourtTexas Department of State Health Services, Birth Defects Epidemiology and Surveillance Branch (BDESB) and Texas Birth Defects Registry (TBDR).
Caitlyn YantzTexas Department of State Health Services, Birth Defects Epidemiology and Surveillance Branch (BDESB) and Texas Birth Defects Registry (TBDR).
TBDR Quality Assurance Team
A J AgopianDepartment of Epidemiology, University of Houston Health Science Center at Houston School of Public Health.
Charles ShumateTexas Department of State Health Services, Birth Defects Epidemiology and Surveillance Branch (BDESB) and Texas Birth Defects Registry (TBDR).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Since 1999, the Texas Birth Defects Registry (TBDR) has conducted active statewide surveillance of congenital anomalies in Texas. The TBDR has established quality assurance procedures and protocols. With the aim of supplementing these existing procedures with a new approach to proactively identify operational issues impacting data quality, we sought to implement a survey to identify procedural and operational challenges and develop strategies to mitigate the effects of practices (eg, changes in reporting practices at hospitals), external events (eg, pandemics), and other issues that may impact data quality. Methods: An open-text, anonymous survey was developed and distributed to TBDR staff. The survey elicited responses from staff related to TBDR operations, partnerships, and communication with external health care facilities. In years 2 and 3, the survey was abbreviated from 9 to 3 questions. Results: Completion rates were 45%, 74%, and 49% in years 1, 2, and 3, respectively. Thematic analysis across all 3 years identified 7 primary themes: (1) data timeliness, (2) data quality improvements, (3) workflow optimization, (4) fundamental training needs, (5) specialized or technical training needs, (6) system challenges, and (7) internal communication and coordination. Conclusions: This project provides a proof-of-concept that active surveillance birth defects registries can collect information on data quality-related staff experiences in a real-time, systematic manner and implement short- and long-term strategies to address data quality. The survey results prompted internal strategic planning, additional employee training initiatives, and data system enhancements. Additional work is needed to monitor the long-term improvements resulting from these strategic actions. The data quality survey results and implemented strategies may be useful to other surveillance programs.

Indexed as

Congenital AbnormalitiesData AccuracyQuality ImprovementRegistriesHumansPopulation SurveillanceSurveys and QuestionnairesTexascongenital anomaliesdata qualitypopulation-based surveillancequality improvementsurvey

Identifiers

PMID39897606
PMCPMC11781287

What OpenQuestion holds

Textmetadata
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.