ArticleJournal of the American Medical Informatics Association : JAMIA2015
Assessment of administrative claims data for public health reporting of Salmonella in Tennessee.
Article in Journal of the American Medical Informatics Association : JAMIA, 2015. 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
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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.
- Comparing medical history data derived from electronic health records and survey answers in the All of Us Research Program.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Exploring an alternative approach to Lyme disease surveillance in Maryland.Zoonoses and public health · 2018Article
- Computing disease incidence, prevalence and comorbidity from electronic medical records.Journal of biomedical informatics · 2016Article
- Assessment of Administrative Medical Claims Data for Public Health Surveillance of Invasive Group A Streptococcal Necrotizing Fasciitis in Tennessee.Public health reports (Washington, D.C. : 1974)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the USA, approximately 4% of the estimated 1 million Salmonella infections occurring annually are reported to public health. Administrative claims data from large health insurance companies capture disease-specific data which could potentially enhance public health surveillance. To determine the utility of medical claims data for public health reporting of Salmonella, we assessed medical claims data from BlueCross BlueShield of Tennessee (BCBST) members compared to Tennessee Department of Health (TDH) surveillance data. BCBST Salmonella cases diagnosed during 2007-2011 were matched to TDH Salmonella cases reported during the same time period. Matches and non-matches were validated using medical records. Of the 450 BCBST cases identified, 72% matched TDH cases. All culture-confirmed BCBST cases were reported to TDH. Non-matched BCBST cases included clinical diagnoses which were culture negative or not tested. Our findings indicate administrative claims data are not currently a viable mechanism for enhancing routine reporting of Salmonella infections.
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Registered trials
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