ArticleEmerging infectious diseases2023
Validation of Claims-Based Algorithm for Lyme Disease, Massachusetts, USA.
Article in Emerging infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 13 citations in OpenAlex.
- Findings From Electronic Medical Record Review of 2500 Patients Identified With Lyme Disease Diagnoses, Test Orders, and Antibiotic Orders in the SubLyme Network.Open forum infectious diseases · 2026Article
- Lyme Disease and Health Care Costs.JAMA network open · 2026Article
- Exploring data-driven algorithms to identify Lyme disease cases in electronic health records.PloS one · 2026Article
- Use of administrative data for evaluating trends in medically-attended Lyme disease, Manitoba, Canada, 2010-2021.PloS one · 2026Article
- Estimating the incidence of autoimmune inflammatory arthritis after Lyme disease.Seminars in arthritis and rheumatism · 2025Article
- Differences in Lyme Disease Diagnosis among Medicaid and Medicare Beneficiaries, United States, 2016-2021.Emerging infectious diseases · 2025Article
- Risk factors for Lyme disease among residents of rural, suburban, and urban areas in the United States: a case-control study.American journal of epidemiology · 2025Article
- Validation of Algorithms to Detect Acute and Disseminated Lyme Disease in U.S. Administrative Claims Data.Open forum infectious diseases · 2025Article
- Epidemiology of Lyme Disease as Identified Through Electronic Health Records in a Large Midwestern Health System, 2016-2019.Open forum infectious diseases · 2025Article
- Excess Healthcare Costs and Resource Utilisation of Lyme Borreliosis in Germany: A Propensity Score-Matched Cohort Study.Zoonoses and public health · 2025Article
- Optimizing identification of Lyme disease diagnoses in commercial insurance claims data, United States, 2016-2019.BMC infectious diseases · 2024Article
Corrections and comments
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Authors and funding
17 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Compared with notifiable disease surveillance, claims-based algorithms estimate higher Lyme disease incidence, but their accuracy is unknown. We applied a previously developed Lyme disease algorithm (diagnosis code plus antimicrobial drug prescription dispensing within 30 days) to an administrative claims database in Massachusetts, USA, to identify a Lyme disease cohort during July 2000-June 2019. Clinicians reviewed and adjudicated medical charts from a cohort subset by using national surveillance case definitions. We calculated positive predictive values (PPVs). We identified 12,229 Lyme disease episodes in the claims database and reviewed and adjudicated 128 medical charts. The algorithm's PPV for confirmed, probable, or suspected cases was 93.8% (95% CI 88.1%-97.3%); the PPV was 66.4% (95% CI 57.5%-74.5%) for confirmed and probable cases only. In a high incidence setting, a claims-based algorithm identified cases with a high PPV, suggesting it can be used to assess Lyme disease burden and supplement traditional surveillance data.
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