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Purpose: To determine whether sociodemographic factors are associated with delays at specific steps in the diagnostic process of Duchenne and Becker muscular dystrophy., Methods: We examined abstracted medical records for 540 males from population-based surveillance sites in Arizona, Colorado, Georgia, Iowa, and western New York. We used linear regressions to model the association of three sociodemographic characteristics with age at initial medical evaluation, first creatine kinase measurement, and earliest DNA analysis while controlling for changes in the diagnostic process over time. The analytical dataset included 375 males with information on family history of Duchenne and Becker muscular dystrophy, neighborhood poverty levels, and race/ethnicity., Results: Black and Hispanic race/ethnicity predicted older ages at initial evaluation, creatine kinase measurement, and DNA testing (P < 0.05). A positive family history of Duchenne and Becker muscular dystrophy predicted younger ages at initial evaluation, creatine kinase measurement and DNA testing (P < 0.001). Higher neighborhood poverty was associated with earlier ages of evaluation (P < 0.05)., Conclusions: Racial and ethnic disparities in the diagnostic process for Duchenne and Becker muscular dystrophy are evident even after adjustment for family history of Duchenne and Becker muscular dystrophy and changes in the diagnostic process over time. Black and Hispanic children are initially evaluated at older ages than white children, and the gap widens at later steps in the diagnostic process.

Background: This report focuses on the common protocol developed by the Muscular Dystrophy Surveillance Tracking and Research Network (MD STARnet) for population-based surveillance of Duchenne and Becker muscular dystrophy (DBMD) among 4 states (Arizona, Colorado, Iowa, and New York)., Methods: The network sites have developed a case definition and surveillance protocol along with software applications for medical record abstraction, clinical review, and pooled data. Neuromuscular specialists at each site review the pooled data to determine if a case meets the case criteria. Sources of potential cases of DBMD include neuromuscular specialty clinics, service sites for children with special healthcare needs, and hospital discharge databases. Each site also adheres to a common information assurance protocol., Results: A population-based surveillance system for DBMD was created and implemented in participating states., Conclusions: The development and implementation of the population-based system will allow for the collection of information that is intended to provide a greater understanding of DBMD prevalence and health outcomes.