Racial and Ethnic Disaggregation of Tuberculosis Incidence and Risk Factors Among American Indian and Alaska Native Persons-United States, 2001-2020.
Yuri P SpringerThomas D FilardoRachel S WoodruffJulie L SelfPublished in: American journal of public health (2024)
Objectives. To examine impacts of racial and ethnic disaggregation on the characterization of tuberculosis (TB) epidemiology among American Indian and Alaska Native (AI/AN) persons in the United States. Methods. Using data reported to the National Tuberculosis Surveillance System during 2001 to 2020, we compared annual age-adjusted TB incidence and the frequency of TB risk factors among 3 AI/AN analytic groups: non-Hispanic AI/AN alone persons, multiracial/Hispanic AI/AN persons, and all AI/AN persons (aggregate of the first 2 groups). Results. During 2009 to 2020, annual TB incidence (cases per 100 000 persons) among non-Hispanic AI/AN alone persons (range = 3.87-8.56) was on average 1.9 times higher than among all AI/AN persons (range = 1.89-4.70). Compared with non-Hispanic AI/AN alone patients with TB, multiracial/Hispanic AI/AN patients were significantly more likely to be HIV positive (prevalence ratio [PR] = 2.05) and to have been diagnosed while a resident of a correctional facility (PR = 1.71), and significantly less likely to have experienced homelessness (PR = 0.53) or died during TB treatment (PR = 0.47). Conclusions. Racial and ethnic disaggregation revealed significant differences in TB epidemiology among AI/AN analytic groups. Exclusion of multiracial/Hispanic AI/AN persons from AI/AN analytic groups can substantively affect estimates of racial and ethnic health disparities. ( Am J Public Health. 2024;114(2):226-236. https://doi.org/10.2105/AJPH.2023.307498).
Keyphrases
- artificial intelligence
- mycobacterium tuberculosis
- risk factors
- african american
- public health
- big data
- machine learning
- hiv positive
- deep learning
- healthcare
- emergency department
- men who have sex with men
- end stage renal disease
- pulmonary tuberculosis
- mental health
- newly diagnosed
- patient safety
- chronic kidney disease
- social media
- risk assessment
- ejection fraction
- health information
- mental illness
- peritoneal dialysis
- drug induced