American Indian/Alaska Native (AI/AN) persons experienced disproportionate mortality during the 2009 influenza A(H1N1) pandemic (1,2). Concerns of a similar trend during the coronavirus disease 2019 (COVID-19) pandemic led to the formation of a workgroup* to assess the prevalence of COVID-19 deaths in the AI/AN population. As of December 2, 2020, CDC has reported 2,689 COVID-19-associated deaths among non-Hispanic AI/AN persons in the United States.
View Article and Find Full Text PDFAlthough non-Hispanic American Indian and Alaska Native (AI/AN) persons account for 0.7% of the U.S.
View Article and Find Full Text PDFContext: Efforts to address disparities experienced by American Indians/Alaska Natives (AI/ANs) have been hampered by a lack of accurate and timely health data. One challenge to obtaining accurate data is determining who "counts" as AI/AN in health and administrative data sets.
Objective: To compare the effects of definition and misclassification of AI/AN on estimates of all-cause and cause-specific mortality for AI/AN in Washington during 2015-2016.
The opioid epidemic has resulted in a threefold increase in drug overdose deaths in the United States during 1999-2015 (1). Whereas American Indians/Alaska Natives (AI/AN) have experienced larger increases in drug overdose mortality than have other racial/ethnic groups in the United States (2), little is known about the regional impact of opioids in tribal and urban AI/AN communities. To address this data gap, death records from the Washington State Center for Health Statistics, corrected for misclassification of AI/AN race, were examined to identify trends and disparities in drug, opioid-involved, and heroin-involved overdose mortality rates for AI/AN and non-Hispanic whites (whites) in Washington.
View Article and Find Full Text PDFPurpose: We aimed to determine whether the association between late-stage cancer and American Indian/Alaska Native (AI/AN) race differed by enrollment in the Indian Health Service Care System (IHSCS).
Methods: We used Surveillance, Epidemiology, and End Results (SEER) data linked to Medicare files to compare the odds of late-stage breast, colorectal, lung, or prostate cancer between non-Hispanic Whites (NHWs) (n=285,993) and AI/ANs with (n=581) and without (n=543) IHSCS enrollment.
Results: For AI/ANs without IHSCS enrollment, the odds of late-stage disease were higher in AI/ANs compared with NHWs for breast (OR=3.
Am Indian Alsk Native Ment Health Res
May 2018
Objectives: We explored the association between stressful life events and postpartum depressive symptoms among non-Hispanic American Indian and Alaska Native (AI/AN) mothers.
Methods: We analyzed self-reports of stressful life events and depressive symptoms from 298 AI/AN respondents and conducted logistic regression to examine their association.
Results: Of the AI/AN mothers who responded, 29.
J Health Care Poor Underserved
February 2018
To assess whether timing of initial post-diagnosis cancer care differs between American Indian and Alaska Native (AI/AN) and non-Hispanic White (NHW) patients, we accessed SEER-Medicare data for breast, colorectal, lung, and prostate cancers (2001-2007). Medicare claims data were examined for initiation of cancer-directed treatment. Overall, AI/ANs experienced longer median times to starting treatment than NHWs (45 and 39 days, p < .
View Article and Find Full Text PDFLack of access to care, funding limitations, cultural, and social barriers are challenges specific to tribal communities that have led to adverse cancer outcomes among American Indians/Alaska Natives (AI/AN). While the cancer navigator model has been shown to be effective in other underserved communities, it has not been widely implemented in Indian Country. We conducted in-depth interviews with 40 AI/AN patients at tribal clinics in Idaho and Oregon.
View Article and Find Full Text PDFBackground: Whether patient navigation improves outcomes for patients with comorbidities is unknown. The aims of this study were to determine the effect of comorbidities on the time to diagnostic resolution after an abnormal cancer screening test and to examine whether patient navigation improves the timeliness and likelihood of diagnostic resolution for patients with comorbidities in comparison with no navigation.
Methods: A secondary analysis of comorbidity data collected by Patient Navigation Research Program sites using the Charlson Comorbidity Index (CCI) was conducted.
Patient navigation is emerging as a standard in breast cancer care delivery, yet multi-site data on the impact of navigation at reducing delays along the continuum of care are lacking. The purpose of this study was to determine the effect of navigation on reaching diagnostic resolution at specific time points after an abnormal breast cancer screening test among a national sample. A prospective meta-analysis estimated the adjusted odds of achieving timely diagnostic resolution at 60, 180, and 365 days.
View Article and Find Full Text PDFIntroduction: Nationally, a greater proportion of American Indians and Alaska Natives (AI/ANs) are diagnosed with advanced-stage cancers compared with non-Hispanic whites. The reasons for observed differences in stage at diagnosis between AI/ANs and non-Hispanic whites remain unclear.
Methods: Medicaid, Indian Health Service Care Systems, and state cancer registry data for California, Oregon, and Washington (2001-2008, analyzed in 2014-2015) were linked to identify AI/ANs and non-Hispanic whites diagnosed with invasive breast, cervical, colorectal, lung, or prostate cancer.
Objective: As part of the Patient Navigation Research Program, we examined the effect of patient navigation versus usual care on timely diagnostic follow-up, defined as clinical management for women with cervical abnormalities within accepted time frames.
Methods: Participants from four Patient Navigation Research Program centers were divided into low- and high-risk abnormality groups and analyzed separately. Low-risk participants (n = 2088) were those who enrolled with an initial Pap test finding of atypical squamous cells of undetermined significance (ASCUS) with a positive high-risk human papillomavirus (HPV) serotype, atypical glandular cells, or low-grade squamous intraepithelial lesion (LGSIL).
Purpose: Despite growing popularity of patient navigation (PN) as a means to improve cancer care quality and reduce cancer-related disparities, there are few well-designed controlled trials assessing the impact of PN on patient outcomes like satisfaction with care. The present controlled study examined effect of PN on satisfaction with cancer-related care.
Methods: Patients who presented with a symptom or abnormal screening test (n = 1788) or definitive diagnosis (n = 445) of breast, cervical, colorectal, or prostate cancer from eight Patient Navigator Research Program sites were included in one of two groups: intervention (PN) or comparison (usual care or usual care plus cancer educational materials).
Background: There is limited understanding of the association between barriers to care and clinical outcomes within patient navigation programs.
Methods: Secondary analyses of data from the intervention arms of the Patient Navigation Research Program were performed, which included navigated participants with abnormal breast and cervical cancer screening tests from 2007 to 2010. Independent variables were: 1) the number of unique barriers to care (0, 1, 2, or ≥3) documented during patient navigation encounters; and 2) the presence of socio-legal barriers originating from social policy (yes/no).
Background: Patient navigation may reduce cancer disparities associated with socioeconomic status (SES) and household factors. This study examined whether these factors were associated with delays in diagnostic resolution among patients with cancer screening abnormalities and whether patient navigation ameliorated these delays.
Methods: This study analyzed data from 5 of 10 centers of the National Cancer Institute's Patient Navigation Research Program, which collected SES and household data on employment, income, education, housing, marital status, and household composition.
Objective: To evaluate and adjust for American Indian and Alaska Native (AI/AN) racial misclassification in two hospital discharge datasets in the Pacific Northwest.
Data Sources/study Setting: Oregon (2010-2011) and Washington (2011) hospital discharge datasets were linked with the Northwest Tribal Registry (NTR), a registry of AI/AN individuals who accessed services at Indian health facilities in the Northwest.
Study Design: Record linkage was used to match state hospital records to the NTR.
Background: Little has been reported regarding patterns of oncologic care in American Indian/Alaska Natives (AI/AN). Observed worse survival has been attributed to later-stage presentation. We aimed to evaluate racial differences in cancer-directed therapy and hospice care utilization in AI/ANs and non-Hispanic whites (NHW) with metastatic cancer.
View Article and Find Full Text PDFObjectives: American Indians and Alaska Natives (AI/ANs) experience a high burden of mortality and other disparities compared with the general population. Life tables are an important population health indicator; however, federal agencies have not produced life tables for AI/ANs, largely due to racial misclassification on death certificates. Our objective was to correct this misclassification and create life tables for AI/ANs who resided in the Pacific Northwest region of the U.
View Article and Find Full Text PDFBackground: Patient navigation is a promising intervention to address cancer disparities but requires a multisite controlled trial to assess its effectiveness.
Methods: The Patient Navigation Research Program compared patient navigation with usual care on time to diagnosis or treatment for participants with breast, cervical, colorectal, or prostate screening abnormalities and/or cancers between 2007 and 2010. Patient navigators developed individualized strategies to address barriers to care, with the focus on preventing delays in care.
Background: For uninsured American Indians and Alaskan Natives (AIAN) diagnosed with cancer, prompt enrollment in Medicaid may speed access to treatment and improve survival. We hypothesized that AIANs who were eligible for the Indian Health Service Care System (IHSCS) at cancer diagnosis may be enrolled in Medicaid sooner than other AIANs.
Methods: Using Washington, Oregon, and California State Cancer Registries, we identified AIANs with a primary diagnosis of lung, breast, colorectal, cervical, ovarian, stomach, or prostate cancer between 2001 and 2007.
Background: Navigators can facilitate timely access to cancer services, but to the authors' knowledge there are little data available regarding their economic impact.
Methods: The authors conducted a cost-consequence analysis of navigation versus usual care among 10,521 individuals with abnormal breast, cervical, colorectal, or prostate cancer screening results who enrolled in the Patient Navigation Research Program study from January 1, 2006 to March 31, 2010. Navigation costs included diagnostic evaluation, patient and staff time, materials, and overhead.
Patient navigation has emerged as a promising strategy for addressing racial-ethnic and socioeconomic disparities in cancer-related care. However, little is known about the impact of patients' perception of the quality of navigation on patient outcomes. We examined the impact of better-rated navigators on patients' satisfaction with cancer-related care.
View Article and Find Full Text PDFThe patient navigator model has not been widely implemented in American Indian/Alaska Native (AI/AN) communities, but may be effective in improving cancer outcomes for this population. Subjects were enrolled from eight clinics at Tribes throughout the Northwest (n = 1,187). Four clinics received navigation.
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