scholarly journals Identifying Disparities in Health Outcomes and Mortality for American Indian and Alaska Native Populations Using Tribally Disaggregated Vital Statistics and Health Survey Data

2021 ◽  
Vol 111 (S2) ◽  
pp. S126-S132
Author(s):  
Desi Small-Rodriguez ◽  
Randall Akee

Objectives. To determine the impact of disaggregated mortality and health surveillance data on the ability to identify health disparities for American Indian and Alaska Native (AI/AN) subpopulations. Methods. We conducted a systematic review of reporting categories for AI/AN decedents on official death certificates for all 50 US states. Using public data from the 2017–2018 California Health Interview Survey (CHIS), we conducted bivariate and multivariate analyses to assess disparities in health conditions and outcomes for tribally enrolled and non‒tribally enrolled AI/AN persons compared with non-Hispanic Whites. Results. There was no standard for the collection of tribal enrollment data or AI/AN race on death certificates across all 50 states. There were stark differences in the incidence and prevalence of various health risk factors and chronic diseases for the tribally enrolled AI/AN subpopulation, non‒tribally enrolled AI/AN subpopulation, and non-Hispanic White comparison group. Conclusions. The collection of tribal enrollment data in vital statistics and health surveillance systems is necessary to identify and respond to health disparities among AI/AN subpopulations. These efforts must be conducted in partnership with tribal nations and consider Indigenous data sovereignty.

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 37-37
Author(s):  
Sadie Giles

Abstract Racial health disparities in old age are well established, and new conceptualizations and methodologies continue to advance our understanding of health inequality across the life course. One group that is overlooked in many of these analyses, however, is the aging American Indian/Native Alaskan (AI/NA) population. While scholars have attended to the unique health inequities faced by the AI/NA population as a whole due to its discordant political history with the US government, little attention has been paid to unique patterns of disparity that might exist in old age. I propose to draw critical gerontology into the conversation in order to establish a framework through which we can uncover barriers to health, both from the political context of the AI/NA people as well as the political history of old age policy in the United States. Health disparities in old age are often described through a cumulative (dis)advantage framework that offers the benefit of appreciating that different groups enter old age with different resources and health statuses as a result of cumulative inequalities across the life course. Adding a framework of age relations, appreciating age as a system of inequality where people also gain or lose access to resources and status upon entering old age offers a path for understanding the intersection of race and old age. This paper will show how policy history for this group in particular as well as old age policy in the United States all create a unique and unequal circumstance for the aging AI/NA population.


2020 ◽  
Vol 7 (6) ◽  
pp. 1071-1078
Author(s):  
Carol E. Kaufman ◽  
Nancy L. Asdigian ◽  
Ursula Running Bear ◽  
Janette Beals ◽  
Spero M. Manson ◽  
...  

Author(s):  
Brianna A Lienemann ◽  
Sharon E Cummins ◽  
Gary J Tedeschi ◽  
Shiushing Wong ◽  
Shu-Hong Zhu

Abstract Introduction The objective of this study was to examine access, engagement, and quitting behaviors of American Indian/Alaska Native (AIAN) callers to the California Smokers’ Helpline. Telephone counseling is the primary function of the quitline. The overarching theoretical framework for California’s quitline is social cognitive theory, although it also utilizes motivational interviewing and cognitive-behavioral strategies. Aims and Methods AIAN (n = 16 089) and White (n = 173 425) California quitline callers from 2009 to 2018 were compared on their characteristics, engagement, and quitting behaviors. Quitline callers responded to a telephone survey at intake. A random selection was called for evaluation 7 months later (White n = 8194, AIAN n = 764). Data from the 2009 to 2017 California Health Interview Survey (CHIS) were used as a reference point for AIANs (AIAN n = 1373). Results The quitline and CHIS had similar proportions of AIANs (4.6% vs. 4.3%, respectively). AIAN smokers were more likely than White smokers to report physical (53.6% vs. 44.9%) and mental (65.7% vs. 57.8%) health conditions at intake. AIANs were more likely to participate in counseling than White callers (67.1% vs. 65.7%). Among those who received counseling, AIANs had greater odds than White smokers of making a quit attempt (adjusted odds ratio = 1.39 [1.06, 1.81]) and similar odds of quitting for 180 days (adjusted odds ratio = 0.95 [0.69, 1.31]). Conclusions Rates of access, engagement, and quitting suggest that individualized quitline counseling was as effective with AIANs as it was with White smokers. Increasing efforts to refer AIANs to existing state quitlines can help more smokers quit. Implications This study showed that AIAN smokers were well represented among California quitline callers, even without a targeted campaign. It also found that AIAN smokers engaged in quitline services and were as able to quit as their White counterparts were, even after adjusting for other baseline characteristics. One implication is that public health programs can promote quitlines using broad-based campaigns knowing that they will still motivate AIAN smokers to seek help. Another implication is that a standard, individualized counseling protocol delivered by culturally competent quitline staff can effectively help AIAN smokers to quit.


2021 ◽  
Vol 111 (5) ◽  
pp. 801-803
Author(s):  
Mary J. Owen ◽  
Michael A. Sundberg ◽  
Jackie Dionne ◽  
Anna Wirta Kosobuski

2006 ◽  
Vol 96 (4) ◽  
pp. 606-611 ◽  
Author(s):  
Susan J. Henly ◽  
Roxanne Struthers ◽  
Barbara K. Dahlen ◽  
Bette Ide ◽  
Beverly Patchell ◽  
...  

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