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Deduplication of temporary names in an immunization registry using probabilistic linkage
Hannah K Peng1, Taylor Olsabeck2, Hannah Forsythe2
1Susan B. Meister Child Health Evaluation and Research Center, University of Michigan, Ann Arbor, MI, United States of America.
Insights
Probabilistic record linkage effectively deduplicated children with temporary names in immunization systems. This improved vaccination coverage rates for the primary childhood vaccination series in Michigan.
Area of Science:
- Public Health
- Health Informatics
- Data Science
Background:
- Immunization Information Systems (IIS) often receive records with temporary child names.
- Vaccinations administered before a legal name is assigned can lead to duplicate records.
Purpose of the Study:
- To apply probabilistic record linkage for deduplicating temporary name records in an IIS.
- To assess the impact of deduplication on childhood vaccination coverage rates.
Main Methods:
- Cross-sectional study utilizing vaccination records from the Michigan Care Improvement Registry (MCIR).
- Probabilistic record linkage was used to match temporary name records to legal name records.
- Analyzed changes in vaccination coverage for the 4:3:1:3:3:1:4 series among 19-35 month olds.
Main Results:
- 58% (9803 of 16,806) of temporary name records were successfully linked to a legal name record.
- For children with temporary names, 4:3:1:3:3:1:4 series completion increased from 1.5% to 39.6% post-reconciliation.
- Statewide, 4:3:1:3:3:1:4 series coverage for 19-35 month olds increased from 66.2% to 68.2%.
Conclusions:
- Probabilistic linkage is an effective method for identifying and deduplicating temporary name records in IIS.
- Reconciling these records significantly improves the accuracy of vaccination coverage data.
- Accurate IIS data is crucial for monitoring and improving public health initiatives like childhood immunization programs.
Context:
Records with temporary names, such as Babygirl, BoyA, etc. are sometimes submitted to immunization information systems (IIS) with vaccinations that are administered before the child has a legal name.
Objectives:
To 1) apply probabilistic record linkage to assist in the deduplication of children with temporary names in an IIS and 2) assess the impact of that deduplication on vaccination coverage rates.
Design:
Cross-sectional study of vaccination records.
Setting:
The Michigan Care Improvement Registry (MCIR), Michigan's statewide, population-based IIS.
Participants:
Records in MCIR with a temporary first name and date of birth between 1/1/2020 and 12/31/2023.
Main Outcome Measure(S):
Percentage of temporary name records matched to legal name records, and the difference in both temporary name and statewide primary childhood vaccination series (i.e. 4:3:1:3:3:1:4 series) coverage among 19-35 month olds after reconciliation of these records.
Results:
Of the 16,806 temporary name records submitted to MCIR for births between 1/1/2020 and 12/31/2023, 9803 (58 %) were linked to a legal name record using probabilistic linkage. Among the subset of children aged 19-35 months who were assigned a temporary name at birth (n = 8548), 4:3:1:3:3:1:4 series completion coverage increased substantially, from 1.5 % to 39.6 % after reconciliation of vaccination histories. Statewide, 4:3:1:3:3:1:4 series coverage among children aged 19-35 months (n = 162,666) increased from 66.2 % to 68.2 % after reconciliation of vaccination histories.
Conclusions:
Probabilistic linkage was found to be an effective method for identifying duplicate temporary name records in IIS.
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