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      COVID-19 Mortality Among American Indian and Alaska Native Persons — 14 States, January–June 2020

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      , DrPH 1 , , 1 , , MSPH 2 , , MS 3 , , MPH 3 , , MPH 3 , , MPH 4 , , MD 4 , , MS 5 , , MPH 6 , , MPH 6 , , MPH 7 , , MPH 7 , , MD 8 , , PhD 8 , , MPH 9 , , MPH 10 , , MPH 11 , , MA 12 , , DO 12 , , MA 12 , , PhD 13 , , MPH 14 , , MS 14 , , PhD 14 , , MD 15 , , PhD 16 , , MPH 17 , , MPH 18 , , PhD 2 , , MA 3 , , PhD 19 , , MD 1
      Morbidity and Mortality Weekly Report
      Centers for Disease Control and Prevention

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          Abstract

          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. † A recent analysis found that the cumulative incidence of laboratory-confirmed COVID-19 cases among AI/AN persons was 3.5 times that among White persons ( 3 ). Among 14 participating states, the age-adjusted AI/AN COVID-19 mortality rate (55.8 deaths per 100,000; 95% confidence interval [CI] = 52.5–59.3) was 1.8 (95% CI = 1.7–2.0) times that among White persons (30.3 deaths per 100,000; 95% CI = 29.9–30.7). Although COVID-19 mortality rates increased with age among both AI/AN and White persons, the disparity was largest among those aged 20–49 years. Among persons aged 20–29 years, 30–39 years, and 40–49 years, the COVID-19 mortality rates among AI/AN were 10.5, 11.6, and 8.2 times, respectively, those among White persons. Evidence that AI/AN communities might be at increased risk for COVID-19 illness and death demonstrates the importance of documenting and understanding the reasons for these disparities while developing collaborative approaches with federal, state, municipal, and tribal agencies to minimize the impact of COVID-19 on AI/AN communities. Together, public health partners can plan for medical countermeasures and prevention activities for AI/AN communities. During July 22–September 3, 2020, data were collected on confirmed COVID-19–associated deaths that occurred during January 1–June 30, 2020, from 14 participating states. § These states represent approximately 46.5% of the AI/AN population in the United States. ¶ States provided data on confirmed COVID-19 deaths by two race/ethnicity groups (AI/AN and White), sex (men and women), and 10-year age groups. At the request of the participating tribal epidemiology centers and states, White race was chosen as the sole comparator to avoid comparison of AI/AN persons of other races/ethnicities that have experienced similar COVID-19 health disparities. AI/AN race was defined as AI/AN either alone or in any racial/ethnic combination; White race was defined as non-Hispanic White only.** The workgroup, which included epidemiologists and tribal epidemiology subject matter experts, also collected data on underlying health conditions known to increase risk for severe COVID-19–associated illness; however, incomplete data precluded analysis of underlying health conditions. Data for race, ethnicity, and COVID-19 mortality were obtained by the state health departments from multiple sources, including case investigations, death certificates, and laboratory reports. Age-adjusted and age-specific COVID-19 mortality rates were calculated for AI/AN and White populations. †† The AI/AN and White populations for each state were obtained from 2019 postcensal population estimates §§ and used as the denominator for rate calculations. Death rates by race/ethnicity were age-adjusted to the 2000 U.S. standard population; 95% CIs for rates were calculated using the Byar approximation to the Poisson distribution. COVID-19 death rates among AI/AN were compared with those among White persons using rate ratios. The number of deaths among persons aged <20 years was small (<10), and these data were suppressed to avoid possible harm to AI/AN communities if potentially identifiable data were published. This activity was reviewed by the Council of State and Territorial Epidemiologists and was conducted for public health surveillance purposes consistent with applicable federal law. ¶¶ Participating states reported 1,134 deaths among AI/AN persons and 18,815 deaths among White persons during January 1–June 30, 2020. Men accounted for 621 (55%) AI/AN deaths and 9,775 (52%) deaths in White persons. Overall, AI/AN persons who died from COVID-19 were younger than were White persons: 35.1% of AI/AN COVID-19–associated deaths were among persons aged <60 years, compared with 6.3% of deaths among White persons (Table) (Figure). TABLE COVID-19–associated deaths* among American Indian/Alaska Native (AI/AN) † and non-Hispanic White (White) persons aged ≥20 years, § by demographic characteristics — 14 states, ¶ January–June 2020 Characteristic AI/AN deaths White deaths AI/AN:White rate ratio (95% CI) No. (%)** Rate†† (95% CI) No. (%)§§ Rate†† (95% CI) Total* 1,134 (100) 55.8 (52.5–59.3) 18,815 (100) 30.3 (29.9–30.7) 1.8 (1.7–2.0) Sex* Men 621 (55) 66.4 (60.9–72.1) 9,775 (52) 36.1 (35.4–36.8) 1.8 (1.7–2.0) Women 513 (45) 46.8 (42.8–51.1) 9,035 (48) 25.4 (24.9–26.0) 1.8 (1.7–2.0) Missing 0 — 5 — — Age group, yrs¶¶ 20–29 27 (2) 6.3 (4.2–9.2) 31 (0.2) 0.6 (0.4–0.9) 10.5 (6.3–17.6) 30–39 72 (6) 19.8 (15.5–25.0) 91 (0.5) 1.7 (1.4–2.1) 11.6 (8.5–15.8) 40–49 99 (9) 34.0 (27.6–41.3) 199 (1) 4.1 (3.6–4.7) 8.2 (6.5–10.5) 50–59 200 (18) 73.9 (64.1–84.9) 870 (5) 15.6 (14.6–16.7) 4.7 (4.1–5.5) 60–69 268 (24) 127.7 (112.8–143.9) 2,337 (12) 41.6 (39.9–43.3) 3.1 (2.7–3.5) 70–79 235 (21) 218.1 (191.1–247.8) 4,514 (24) 122.2 (118.7–125.9) 1.8 (1.6–2.0) ≥80 230 (20) 488.3 (427.3–555.7) 10,767 (57) 520.1 (510.3–530.0) 0.9 (0.8–1.1) Missing 3 — 6 — — Abbreviations: CI = confidence interval; COVID-19 = coronavirus disease 2019. * Rates are age-adjusted to the 2000 U.S. standard population. † Includes Hispanic and non-Hispanic AI/AN persons. § Cases in persons aged <20 years suppressed because number was <10. ¶ Alaska, Arizona, Louisiana, Minnesota, Mississippi, Nebraska, New Mexico, New York, North Dakota, Oklahoma, Oregon, South Dakota, Utah, and Washington. ** Includes 12 persons with unknown ethnicity. †† Deaths per 100,000 population. §§ Includes five persons with unknown sex. ¶¶ Rates are age-specific. FIGURE Percentage distribution of COVID-19–associated deaths among American Indian/Alaska Native* and non-Hispanic White persons aged ≥20 years, by age group † — 14 states, § January 1–June 30, 2020 Abbreviation: COVID-19 = coronavirus disease 2019. * Includes Hispanic and non-Hispanic ethnicities. † Percentages by age group are not age-adjusted. § Alaska, Arizona, Louisiana, Minnesota, Mississippi, Nebraska, New Mexico, New York, North Dakota, Oklahoma, Oregon, South Dakota, Utah, and Washington. The figure is a bar graph showing the percentage distribution of COVID-19–associated deaths among American Indians/Alaska Natives and non-Hispanic White persons aged ≥20 years in 14 states, during January 1–June 30, 2020 by age group. The age-adjusted AI/AN COVID-19 mortality rate (55.8 deaths per 100,000) was 1.8 (95% CI = 1.7–2.0) times that among White persons (30.3 deaths per 100,000) (Table). For both AI/AN and White persons, mortality was higher among men (66.4 and 36.1 per 100,000, respectively) than among women (46.8 and 25.4 per 100,000, respectively). Among both AI/AN and White persons, COVID-19 mortality rates increased with age, with the highest age-specific mortality rate among persons aged ≥80 years (488.3 and 520.1 per 100,000, respectively). Mortality rates among AI/AN persons were higher than those among White persons in all age groups except the oldest age group. The largest differences were among persons in the three age groups encompassing 20–49 years. Among persons aged 20–29 years, 30–39 years, and 40–49 years, the COVID-19 mortality rates among AI/AN persons were 10.5, 11.6, and 8.2 times those among White persons, respectively (Table). Discussion In the 14 states that participated in this study, the overall COVID-19 mortality rate among AI/AN persons was higher than that among White persons. This finding is consistent with those from a similar study assessing pandemic influenza A(H1N1)–related mortality ( 1 ). Long-standing inequities in public funding; infrastructure; and access to health care, education, stable housing, healthy foods, and insurance coverage have contributed to health disparities (including higher prevalences of smoking, obesity, diabetes, and cardiovascular disease) that put indigenous peoples at higher risk for severe COVID-19–associated illness ( 4 ). The lack of consistent and complete collection of underlying health conditions prevented the workgroup from assessing the contributions of these conditions to the observed disparity in mortality. This highlights the need for consistent approaches across jurisdictions to collect this information systematically and completely. As with influenza mortality rates, differences in socioeconomic factors might have contributed to elevated COVID-19 mortality ( 5 ). Financial or transportation-related barriers to health care access might have prevented patients from receiving timely medical care at the time of initial evaluation, resulting in more severe illness that was less amenable to treatment ( 2 ). In 2010, the Advisory Committee on Immunization Practices (ACIP) first recommended that vaccination efforts should focus on delivering influenza vaccine to AI/AN population, among others, when supply is limited, based on the disproportionate impact pandemic influenza A(H1N1) had on AI/AN communities during 2009–2010 ( 6 ). The ACIP COVID-19 Vaccines Work Group has developed an ethical framework to guide COVID-19 vaccine allocation decisions when supply is limited ( 7 ), which aims to maximize benefits and minimize harms, promote justice, mitigate health inequities, and promote transparency. Compared with White persons, AI/AN persons have experienced higher morbidity and mortality from COVID-19 ( 3 ).*** Federal, state, tribal, and local partners should consider the AI/AN disparities from COVID-19 and other underlying factors when developing their vaccine allocations strategies. The findings in this report are subject to at least six limitations. First, mortality estimates for other persons of color were not assessed, preventing comparisons with these groups. Second, deaths caused by COVID-19 were likely underreported because of limited testing availability and reluctance to be tested, particularly in the early months of the pandemic ( 8 ). Third, limited completeness and accuracy of race/ethnicity data might lead to undercounting of AI/AN COVID-19–related deaths. AI/AN persons are more likely to be racially misclassified as White or other races in vital records and other data systems, resulting in underestimates of morbidity and mortality in AI/AN communities ( 9 ). Fourth, the inconsistent and incomplete collection of data for underlying health conditions precluded an analysis controlling for underlying health conditions as a factor for COVID-19 mortality. Fifth, the analytic methods used did not account for clustering of deaths by state. Finally, this study reports data from selected states and therefore does not represent the entire AI/AN population within the United States. Despite these limitations, these findings suggest that, compared with the White population, the AI/AN population in the 14 participating states has been disproportionately affected by the COVID-19 pandemic, especially among younger age groups. Improved data quality and completeness for case investigation, death certificates, and laboratory reports can guide decisions on resource prioritization to identify and protect populations at higher risk for illness and death. Public health agencies should engage with tribes through tribal consultations and confer with urban-dwelling AI/AN communities to build upon existing community assets and values to enhance health outcomes. AI/AN communities have formed bidirectional partnerships with public health partners that are rooted in tribal sovereignty and fulfillment of treaty rights to promote culturally sensitive strategies for COVID-19 prevention activities and medical countermeasures ( 10 ). ††† Strategies can draw on cultural factors that include protecting elders and ensuring a healthy future for younger generations. Improving the quality of COVID-19 data will be important for AI/AN communities and their partners to identify populations experiencing excess risk and plan and implement prevention activities and medical countermeasures. Summary What is already known about this topic? COVID-19 incidence is higher among American Indians/Alaska Natives (AI/ANs) than among non-Hispanic Whites. In 2009, AI/ANs experienced disproportionately high pandemic influenza A(H1N1)–associated mortality. What is added by this report? Based on data from 14 participating states, age-adjusted COVID-19–associated mortality among AI/ANs was 1.8 times that among non-Hispanic Whites. Among AI/ANs, mortality was higher among men than among women, and the disparity in mortality compared with non-Hispanic Whites was highest among persons aged 20–49 years. What are the implications for public health practice? AI/ANs have experienced disproportionate rates of infection and mortality during the COVID-19 pandemic. The excess risk, especially for AI/AN males and persons aged 20–49 years, should be considered when planning and implementing medical countermeasures and other prevention activities.

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          Estimation of Excess Deaths Associated With the COVID-19 Pandemic in the United States, March to May 2020

          Efforts to track the severity and public health impact of coronavirus disease 2019 (COVID-19) in the United States have been hampered by state-level differences in diagnostic test availability, differing strategies for prioritization of individuals for testing, and delays between testing and reporting. Evaluating unexplained increases in deaths due to all causes or attributed to nonspecific outcomes, such as pneumonia and influenza, can provide a more complete picture of the burden of COVID-19.
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            COVID-19 Among American Indian and Alaska Native Persons — 23 States, January 31–July 3, 2020

            Although non-Hispanic American Indian and Alaska Native (AI/AN) persons account for 0.7% of the U.S. population,* a recent analysis reported that 1.3% of coronavirus disease 2019 (COVID-19) cases reported to CDC with known race and ethnicity were among AI/AN persons ( 1 ). To assess the impact of COVID-19 among the AI/AN population, reports of laboratory-confirmed COVID-19 cases during January 22 † –July 3, 2020 were analyzed. The analysis was limited to 23 states § with >70% complete race/ethnicity information and five or more laboratory-confirmed COVID-19 cases among both AI/AN persons (alone or in combination with other races and ethnicities) and non-Hispanic white (white) persons. Among 424,899 COVID-19 cases reported by these states, 340,059 (80%) had complete race/ethnicity information; among these 340,059 cases, 9,072 (2.7%) occurred among AI/AN persons, and 138,960 (40.9%) among white persons. Among 340,059 cases with complete patient race/ethnicity data, the cumulative incidence among AI/AN persons in these 23 states was 594 per 100,000 AI/AN population (95% confidence interval [CI] = 203–1,740), compared with 169 per 100,000 white population (95% CI = 137–209) (rate ratio [RR] = 3.5; 95% CI = 1.2–10.1). AI/AN persons with COVID-19 were younger (median age = 40 years; interquartile range [IQR] = 26–56 years) than were white persons (median age = 51 years; IQR = 32–67 years). More complete case report data and timely, culturally responsive, and evidence-based public health efforts that leverage the strengths of AI/AN communities are needed to decrease COVID-19 transmission and improve patient outcomes. Individual COVID-19 case reports submitted to CDC using the CDC COVID-19 case report form ¶ and through the National Notifiable Diseases Surveillance System** during January 22–July 3, 2020 were analyzed. Laboratory-confirmed †† and probable §§ COVID-19 cases are reported by state and local health jurisdictions based on reports submitted by health care providers and laboratories. Cases with missing report date were excluded. Probable cases (12,081) and cases among persons repatriated to the United States from Wuhan, China (two cases), and the Diamond Princess cruise ship (41 cases) ( 2 ) were also excluded. Analysis was limited to the 23 states with >70% complete race/ethnicity information and five or more laboratory-confirmed cases each among AI/AN and white persons. Arizona, which accounts for at least one third of all COVID-19 cases among AI/AN persons nationwide, was excluded from analysis because >30% of race/ethnicity data were missing. Because approximately 2.3 million of 5.2 million AI/AN persons identify with multiple races ( 3 ), AI/AN race/ethnicity was classified as either AI/AN alone or in combination with other races and ethnicities. White (non-Hispanic) was chosen as the comparator group to avoid comparing rates among AI/AN persons to other marginalized populations that experience similar health disparities. Whereas previous reports focused on COVID-19 incidence among black and Hispanic persons, the race/ethnicity categorization in this analysis maximized these data to allow for the calculation of more stable RR estimates. A generalized estimating equations Poisson regression model was used to calculate cumulative incidence (cumulative cases per 100,000 population), RRs, and 95% CIs for AI/AN and white race/ethnicity categories. Generalized estimating equations models, which perform well for estimating rates with correlated data, were used to account for nonindependence (i.e., clustering) by state ( 4 ). CDC’s National Center for Health Statistics (NCHS) postcensal bridged-race estimates were used as population denominators ( 5 ). Symptoms, underlying health conditions, hospitalizations, intensive care unit (ICU) admissions, and deaths were not analyzed because a large percentage of these data were missing. Analyses were conducted using SAS software (version 9.4; SAS Institute). Among the 1,613,949 laboratory-confirmed COVID-19 cases voluntarily reported to CDC during January 22–July 3, 2020, 424,899 (26.3%) were reported by the 23 included states. Among these cases, 340,059 (80.0%) had complete race/ethnicity data, including 9,072 (2.7%) among AI/AN persons and 138,960 (40.9%) among white persons. These cases represented 51% of 17,709 reported cases among AI/AN persons and 41% of 339,789 reported cases among whites in all U.S. states and territories. Among the 340,059 cases with complete race/ethnicity data, the cumulative incidence among AI/AN persons was 594 cases per 100,000 (95% CI = 203–1,740), 3.5 (95% CI = 1.2–10.1) times that among white persons (169 per 100,000; 95% CI = 137–209). The magnitude of this reported RR estimate is affected by the elevated RR in New Mexico (RR = 14.9). ¶¶ Median age among AI/AN and white patients was 40 years (IQR = 26–56 years) and 51 years (IQR = 32–67 years), respectively. AI/AN persons with COVID-19 tended to be younger than white persons with COVID-19: a higher proportion of AI/AN patients were aged 100.4°F [38°C] or subjective), cough, shortness of breath, wheezing, difficulty breathing, chills, rigors, myalgia, rhinorrhea, sore throat, chest pain, nausea or vomiting, abdominal pain, headache, fatigue, diarrhea (≥3 loose stools in a 24-hour period), or other symptom not otherwise specified on the form. ¶ Underlying health conditions were classified as “known” if any of the following conditions were reported as present or absent: diabetes mellitus, cardiovascular disease (including hypertension), severe obesity (body mass index ≥40 kg/m2), chronic renal disease, chronic liver disease, chronic lung disease, immunocompromising condition, autoimmune condition, neurologic condition (including neurodevelopmental, intellectual, physical, visual, or hearing impairment), psychologic/psychiatric condition, and other underlying medical condition not otherwise specified. ** Includes hospitalization with or without ICU admission. †† Hospitalization, ICU admission, and death status were considered known if the response was “yes” or “no” (not “missing” or “unknown”). Completeness of data on underlying health conditions (e.g., cardiovascular disease and diabetes), symptoms, hospitalization status, ICU admission, and death was lower for AI/AN patients than for white patients. Data on underlying health conditions were available for 762 (8.4%) AI/AN patients and 37,993 (27.3%) white patients, and symptom data were available for 998 (11.0%) AI/AN patients and 39,225 (28.2%) white patients. Whereas hospitalization status, ICU admission status, and vital status (i.e., outcome of death) were known for 78.9%, 26.7%, and 74.4%, respectively, of white COVID-19 patients, this information was available for approximately one third of those percentages of AI/AN patients (24.2%, 9.4%, and 22.5%, respectively). Because of the high prevalence of these missing data elements among AI/AN patients, analysis to identify overall prevalence, possible risk factors for COVID-19, and patient outcomes was not possible. Discussion In 23 states with sufficient COVID-19 patient race/ethnicity data, the overall COVID-19 incidence among AI/AN persons was 3.5 times that among white persons. Although this disparity is mostly influenced by the elevated RR in New Mexico, variability in the RR among states is reflected in the wide confidence interval (95% CI = 1.2, 10.1). Among 345,093 COVID-19 cases meeting the study inclusion criteria, 2.7% of cases occurred in AI/AN persons, more than twice the percentage of non-Hispanic AI/AN cases reported in CDC COVID-19 case surveillance data from all states (1.3%) ( 1 ). However, this analysis included AI/AN persons who identified as multiple races and ethnicities, which increased AI/AN case identification by 4%, from 8,691 to 9,072 cases in the 23 states. The higher proportion of AI/AN persons in this analysis is also the result of the more completely reported race/ethnicity data in these states. Historical trauma and persisting racial inequity have contributed to disparities in health and socioeconomic factors between AI/AN and white populations that have adversely affected AI/AN communities; these factors likely contribute to the observed elevated incidence of COVID-19 among the AI/AN population ( 6 ). The elevated incidence within this group might also reflect differences in reliance on shared transportation, limited access to running water, household size, and other factors that might facilitate COVID-19 community transmission ( 6 ). Although the elevated prevalence of underlying health conditions among AI/AN persons is well documented ( 7 , 8 ), in this analysis, data on underlying health conditions were unknown or missing for 91.6% of AI/AN patients compared with 72.7% of white patients, preventing examination of the association between underlying health conditions and COVID-19 incidence. The excessive absence of data among AI/AN persons represents an important gap in public health data for AI/AN persons and suggests a need for additional resources to support case investigation and reporting infrastructure in AI/AN communities. The findings in this report are subject to at least three limitations. First, data are presented as reported to CDC through a passive case surveillance system. Case data are voluntarily reported to CDC by states without active case finding. The high prevalence of missing data on symptoms, underlying health conditions, hospitalization, ICU admission, and death precluded the analysis of these characteristics and outcomes. Missing data likely reflect state, local, and tribal health jurisdictions’ ability to collect these data given their current case loads, incomplete reporting to CDC, or both. Second, this analysis represents an underestimate of the actual COVID-19 incidence among AI/AN persons for several reasons. Reporting of detailed case data to CDC by states is known to be incomplete; therefore, this analysis was restricted to 23 states with more complete reporting of race and ethnicity. As a result, the analysis included only one half of reported laboratory-confirmed COVID-19 cases among AI/AN persons nationwide, and the examined states represent approximately one third of the national AI/AN population.*** In addition, AI/AN persons are commonly misclassified as non-AI/AN races and ethnicities in epidemiologic and administrative data sets, leading to an underestimation of AI/AN morbidity and mortality ( 9 ). Finally, the NCHS bridged-race estimates used as population denominators are known to inflate the Hispanic AI/AN population in the United States, resulting in the underestimation of mortality rates among AI/AN populations that include Hispanic AI/AN persons ( 10 ). Despite these limitations, these findings suggest that the AI/AN population in the 23 examined states, particularly AI/AN persons aged <65 years, has been disproportionately affected by the COVID-19 pandemic, compared with the white population. More complete case information is needed to more effectively guide the public health response to COVID-19 among the AI/AN population. The collection of this information can be facilitated by more consistent, complete, and accurate collection and reporting by providers, reporting laboratories, and local, state, federal, and tribal public health practitioners, and ensuring the resources to do so. Race/ethnicity data should be collected following best practices for AI/AN data collection, including allowing for the reporting of multiple races and ethnicities and providing adequate training about asking about race and ethnicity in a culturally sensitive manner. §§§ Further, among federally recognized tribes, AI/AN race is a political status that confers access to health care services under treaty obligations of the U.S. government ¶¶¶ ; these findings highlight the important contribution of adequate health care and public health infrastructure resources to culturally responsive public health efforts intended to sustain the strengths of AI/AN communities. Summary What is already known about this topic? American Indian and Alaska Native (AI/AN) persons appear to be disproportionately affected by the COVID-19 pandemic; however, limited data are available to quantify the disparity in COVID-19 incidence, severity, and outcomes among AI/AN persons compared with those among other racial/ethnic groups. What is added by this report? In 23 states with adequate race/ethnicity data, the cumulative incidence of laboratory-confirmed COVID-19 among AI/AN persons was 3.5 times that among non-Hispanic white persons. A large percentage of missing data precluded analysis of some characteristics and outcomes. What are the implications for public health practice? Adequate health care and public health infrastructure resources are needed to support a culturally responsive public health effort that sustains the strengths of AI/AN communities. These resources would facilitate the collection and reporting of more complete case report data to support evidence-based public health efforts.
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              The Validity of Race and Hispanic-origin Reporting on Death Certificates in the United States: An Update.

              Objectives This report presents the findings of an updated study of the validity of race and Hispanic-origin reporting on death certificates in the United States, and its impact on race- and Hispanic origin-specific death rates. Methods The latest version of the National Longitudinal Mortality Study (NLMS) was used to evaluate the classification of race and Hispanic origin on death certificates for deaths occurring in 1999–2011 to decedents in NLMS. To evaluate change over time, these results were compared with those of a study based on an earlier version of NLMS that evaluated the quality of race and ethnicity classification on death certificates for 1979–1989 and 1990–1998. NLMS consists of a series of annual Current Population Survey files (1973 and 1978–2011) and a sample of the 1980 decennial census linked to death certificates for 1979–2011. Pooled 2009–2011 vital statistics mortality data and 2010 decennial census population data were used to estimate and compare observed and corrected race- and Hispanic origin-specific death rates. Results Race and ethnicity reporting on death certificates continued to be highly accurate for both white and black populations during the 1999–2011 period. Misclassification remained high at 40% for the American Indian or Alaska Native (AIAN) population. It improved, from 5% to 3%, for the Hispanic population, and from 7% to 3% for the Asian or Pacific Islander (API) population. Decedent characteristics such as place of residence and nativity affected the quality of reporting on the death certificate. Effects of misclassification on death rates were large for the AIAN population but not significant for the Hispanic or API populations.
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                Author and article information

                Journal
                MMWR Morb Mortal Wkly Rep
                MMWR Morb Mortal Wkly Rep
                WR
                Morbidity and Mortality Weekly Report
                Centers for Disease Control and Prevention
                0149-2195
                1545-861X
                11 December 2020
                11 December 2020
                : 69
                : 49
                : 1853-1856
                Affiliations
                Council of State and Territorial Epidemiologists, Atlanta, Georgia; Northwest Portland Area Indian Health Board, Portland, Oregon; Urban Indian Health Institute, Seattle Washington; Alaska Department of Health and Social Services; Albuquerque Area Indian Health Board, Albuquerque, New Mexico; Arizona Department of Health Services; Louisiana Department of Health; Minnesota Department of Health; Mississippi State Department of Health; Nebraska Department of Health and Human Services; New Mexico Department of Health; New York State Department of Health; North Dakota Department of Health; Oklahoma State Department of Health; Oregon Health Authority; South Dakota Department of Health; Utah Department of Health; Washington State Department of Health; Indian Health Service, Rockville, Maryland
                Author notes
                Corresponding author: Jessica Arrazola, jarrazola@ 123456cste.org .
                Article
                mm6949a3
                10.15585/mmwr.mm6949a3
                7737685
                33301432
                e8abd878-6031-4835-9179-17f9a03e644c

                All material in the MMWR Series is in the public domain and may be used and reprinted without permission; citation as to source, however, is appreciated.

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