Evidence map›Paper›PMID 35509413›Full record

ArticleHealth science reports2022

Improving birth certificate data accuracy in Alabama.

Samuel J Gentle, Matthew Moore, Rosemary Blackmon, Brenda Brugh, Allison Todd, Martha Wingate, Sara Mazzoni

Abstract read
In one paragraph

Article in Health science reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Review
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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.

Samuel J GentleDepartment of Pediatrics University of Alabama at Birmingham Birmingham Alabama USA.ORCID 0000-0003-0238-6472
Matthew MooreDepartment of Health Care Organization and Policy University of Alabama at Birmingham Birmingham Alabama USA.ORCID 0000-0003-1059-540X
Rosemary BlackmonAlabama Hospital Association Montgomery Alabama USA.
Brenda BrughAlabama Department of Public Health Montgomery Alabama USA.
Allison ToddDepartment of Obstetrics and Gynecology University of Alabama at Birmingham Birmingham Alabama USA.
Martha WingateDepartment of Health Care Organization and Policy University of Alabama at Birmingham Birmingham Alabama USA.
Sara MazzoniDepartment of Obstetrics and Gynecology University of Washington Medical Center Seattle Washington USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Accurate vital statistics data are critical for monitoring population health and strategizing public health interventions. Previous analyses of statewide birth data have identified several factors that may reduce birth certificate accuracy including systematic errors and limited data review by clinicians. The aim of this initiative was to increase the proportion of hospitals in Alabama reporting accurate birth certificate data from 67% to 87% within 1 year. Methods: The Alabama Perinatal Quality Collaborative led this statewide collaborative effort. Process measures included monthly monitoring of 11 variables across 5-10 patient birth certificates per month per hospital. Accuracy determination, defined as ≥95% accuracy of the variables analyzed, was performed by health care specialists at each hospital by comparing birth certificate variables from vital statistics with data obtained from original hospital source materials. Three months of retrospective, baseline accuracy data were collected before project initiation from which actionable drivers and change ideas were identified at individual hospitals. Data were analyzed using statistical process control measures. Results: Thirty-one hospitals entered data throughout the course of the initiative, accounting for 850 chart analyses and 9350 variable assessments. The least accurately reported variables included birth weight, maternal hypertension, and antenatal corticosteroid exposure. At baseline, 67% of hospitals reported birth certificate accuracy rates ≥ 95%, which increased to 90% of hospitals within 2 months and was sustained for the remainder of the initiative. Conclusion: Statewide, multidisciplinary quality improvement efforts increased birth certificate accuracy vital to public health surveillance.

Indexed as

birth certificate accuracydata qualityperinatal quality collaborativevital statistics

Identifiers

PMID35509413
PMCPMC9059177

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Registered trials

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