Literature DB >> 28005485

Infectious Disease Hospitalizations Among American Indian/Alaska Native and Non-American Indian/Alaska Native Persons in Alaska, 2010-2011.

Prabhu P Gounder1, Robert C Holman1, Sara M Seeman2, Alice J Rarig3, Mary McEwen3, Claudia A Steiner4, Michael L Bartholomew5, Thomas W Hennessy1.   

Abstract

OBJECTIVE: Reports about infectious disease (ID) hospitalization rates among American Indian/Alaska Native (AI/AN) persons have been constrained by data limited to the tribal health care system and by comparisons with the general US population. We used a merged state database to determine ID hospitalization rates in Alaska.
METHODS: We combined 2010 and 2011 hospital discharge data from the Indian Health Service and the Alaska State Inpatient Database. We used the merged data set to calculate average annual age-adjusted and age-specific ID hospitalization rates for AI/AN and non-AI/AN persons in Alaska. We stratified the ID hospitalization rates by sex, age, and ID diagnosis.
RESULTS: ID diagnoses accounted for 19% (6501 of 34 160) of AI/AN hospitalizations, compared with 12% (7397 of 62 059) of non-AI/AN hospitalizations. The average annual age-adjusted hospitalization rate was >3 times higher for AI/AN persons (2697 per 100 000 population) than for non-AI/AN persons (730 per 100 000 population; rate ratio = 3.7, P < .001). Lower respiratory tract infection (LRTI), which occurred in 38% (2486 of 6501) of AI/AN persons, was the most common reason for ID hospitalization. AI/AN persons were significantly more likely than non-AI/AN persons to be hospitalized for LRTI (rate ratio = 5.2, P < .001).
CONCLUSIONS: A substantial disparity in ID hospitalization rates exists between AI/AN and non-AI/AN persons, and the most common reason for ID hospitalization among AI/AN persons was LRTI. Public health programs and policies that address the risk factors for LRTI are likely to benefit AI/AN persons.

Entities:  

Keywords:  Indian Health Service; Native American; epidemiology; minority health

Mesh:

Year:  2016        PMID: 28005485      PMCID: PMC5298496          DOI: 10.1177/0033354916679807

Source DB:  PubMed          Journal:  Public Health Rep        ISSN: 0033-3549            Impact factor:   2.792


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