ArticleHealth science reports2022
Improving birth certificate data accuracy in Alabama.
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.
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.
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.
Who cites it
2 citing papers in PubMed.
- Perinatal Quality Collaboratives and Patient Safety Bundles: Key Contributors to Improving Maternal Health Care Quality across the United States.Obstetrics and gynecology clinics of North America · 2026Review
- Improving birth certificate data accuracy in Alabama.Health science reports · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.