ArticleMaternal and child health journal2009
Accuracy of public health data linkages.
Article in Maternal and child health journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Estimating the Number of Persons with HIV in Jails via Web Scraping and Record Linkage.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2022Article
- Quantifying sources of bias in longitudinal data linkage studies of child abuse and neglect: measuring impact of outcome specification, linkage error, and partial cohort follow-up.Injury epidemiology · 2017Article
- Accuracy of probabilistic and deterministic record linkage: the case of tuberculosis.Revista de saude publica · 2016Article
- Following Up Crack Users after Hospital Discharge Using Record Linkage Methodology: An Alternative to Find Hidden Populations.BioMed research international · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo evaluate the accuracy of computer-matched records for maternal and child health epidemiologic investigations.
methodsUsing Automatch probabilistic record linkage software, we linked electronic records in Georgia for the 2001 Medicaid paid delivery claims and infant deaths of the 2001 birth cohort to 2001 births, and the 2002 newborn screening and hospital discharge data to 2002 births, using multiple variables for matching. We evaluated the accuracy of matches using a manual inspection of a subset of linked pairs and validated with external data. We assessed the agreement between two programmers who linked the same data independently to examine the reliability of the manual inspection technique, and estimated the percent matches to examine further the accuracy of linked data.
resultsThe percent of records matched in the data linked ranged from 90% to 100% on the measures used. The positive and negative predictive values of the computer-matched records were both 100%. The agreement between the computer-matched data and the external data on the method of payment for the delivery was 90%. The reliability of the manual inspection technique was 95%.
conclusionThe computer-matched records evaluated were sufficiently accurate. This provides a unique source to public health practitioners and researchers to perform epidemiological studies that could not be possible with single sources data.
Indexed as
Identifiers
18574680What 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.