Addressing the Challenges of Research With Small Populations

Bibliographic Data

ID11017261
AuthorsDiane M Korngiebel (0000-0001-5704-4416, Diane M. Korngiebel is with the Department of Biomedical Informatics and Medical Education, University of Washington, Seattle. Maile Taualii is with Native Hawaiian and Indigenous Health, Office of Public Health Studies, University of Hawaii, Honolulu. Ralph Forquera is with the Seattle Indian Health Board, Seattle. Raymond Harris is with the Department of Epidemiology, University of Washington, Seattle. Dedra Buchwald is with the Departments of Epidemiology and Medicine, University of Washington, Seattle.), Maile Taualii (0000-0003-4216-142X, Diane M. Korngiebel is with the Department of Biomedical Informatics and Medical Education, University of Washington, Seattle. Maile Taualii is with Native Hawaiian and Indigenous Health, Office of Public Health Studies, University of Hawaii, Honolulu. Ralph Forquera is with the Seattle Indian Health Board, Seattle. Raymond Harris is with the Department of Epidemiology, University of Washington, Seattle. Dedra Buchwald is with the Departments of Epidemiology and Medicine, University of Washington, Seattle.), Ralph Forquera (Diane M. Korngiebel is with the Department of Biomedical Informatics and Medical Education, University of Washington, Seattle. Maile Taualii is with Native Hawaiian and Indigenous Health, Office of Public Health Studies, University of Hawaii, Honolulu. Ralph Forquera is with the Seattle Indian Health Board, Seattle. Raymond Harris is with the Department of Epidemiology, University of Washington, Seattle. Dedra Buchwald is with the Departments of Epidemiology and Medicine, University of Washington, Seattle.), Raymond Harris (Diane M. Korngiebel is with the Department of Biomedical Informatics and Medical Education, University of Washington, Seattle. Maile Taualii is with Native Hawaiian and Indigenous Health, Office of Public Health Studies, University of Hawaii, Honolulu. Ralph Forquera is with the Seattle Indian Health Board, Seattle. Raymond Harris is with the Department of Epidemiology, University of Washington, Seattle. Dedra Buchwald is with the Departments of Epidemiology and Medicine, University of Washington, Seattle.), Dedra Buchwald (0000-0002-9005-0110, Diane M. Korngiebel is with the Department of Biomedical Informatics and Medical Education, University of Washington, Seattle. Maile Taualii is with Native Hawaiian and Indigenous Health, Office of Public Health Studies, University of Hawaii, Honolulu. Ralph Forquera is with the Seattle Indian Health Board, Seattle. Raymond Harris is with the Department of Epidemiology, University of Washington, Seattle. Dedra Buchwald is with the Departments of Epidemiology and Medicine, University of Washington, Seattle.)
Year2015
Volume105
Issue9
Pages1744-1747
Publication date2015-09-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Public Health (JOURNAL)
Journal identifiersISSN: 0090-0036 • E-ISSN: 1541-0048
PublisherAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.2015.302783
PMID26180955
OpenAlexW2120510722
LanguageEN
Citations received9
References cited13

Public health policy relies on accurate data, which are often unavailable for small populations, especially indigenous groups. Yet these groups have some of the worst health disparities in the United States, making it an ethical imperative to explore creative solutions to the problem of insufficient data. We discuss the limits of widely applied methods of data aggregation and propose a mixed-methods approach to data borrowing as a way to augment sample sizes. In this approach, community partners assist in selecting related populations that make suitable “neighbors” to enlarge the data pool. The result will be data that are substantial, accurate, and relevant to the needs of small populations, especially for health-related policy and decision-making at all levels

Data science · Environmental health · Health equity · Indigenous · Public health · Sample (material) · Computer Science · Food Security and Health in Diverse Populations · Health Policy Implementation Science · Medicine · Public Health Policies and Education

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