Challenges in identifying Native Hawaiians and Pacific Islanders in population-based cancer registries in the U.S

Accuracy of patient race and ethnicity data in a central cancer registry

PURPOSE

Race and Hispanic ethnicity data can be challenging for central cancer registries to collect. We evaluated the accuracy of the race and Hispanic ethnicity variables collected by the Utah Cancer Registry compared to self-report.

METHODS

Participants were 3,162 cancer survivors who completed questionnaires administered in 2015-2022 by the Utah Cancer Registry. Each survey included separate questions collecting race and Hispanic ethnicity, respectively. Registry-collected race and Hispanic ethnicity were compared to self-reported values for the same individuals. We calculated sensitivity and specificity for each race category and Hispanic ethnicity separately.

RESULTS

Survey participants included 323 (10.2%) survivors identifying as Hispanic, a lower proportion Hispanic than the 12.1% in the registry Hispanic variable (sensitivity 88.2%, specificity 96.5%). For race, 43 participants (1.4%) self-identified as American Indian or Alaska Native (AIAN), 32 (1.0%) as Asian, 23 (0.7%) as Black or African American, 16 (0.5%) Pacific Islander (PI), and 2994 (94.7%) as White. The registry race variable classified a smaller proportion of survivors as members of each of these race groups except White. Sensitivity for classification of race as AIAN was 9.3%, Asian 40.6%, Black 60.9%, PI 25.0%, and specificity for each of these groups was > 99%. Sensitivity and specificity for White were 98.8% and 47.4%.

CONCLUSION

Cancer registry race and Hispanic ethnicity data often did not match the individual's self-identification. Of particular concern is the high proportion of AIAN individuals whose race is misclassified. Continued attention should be directed to the accurate capture of race and ethnicity data by hospitals.

Methods for retrospectively improving race/ethnicity data quality: a scoping review

Improving race and ethnicity (hereafter, race/ethnicity) data quality is imperative to ensure underserved populations are represented in data sets used to identify health disparities and inform health care policy. We performed a scoping review of methods that retrospectively improve race/ethnicity classification in secondary data sets. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, searches were conducted in the MEDLINE, Embase, and Web of Science Core Collection databases in July 2022. A total of 2 441 abstracts were dually screened, 453 full-text articles were reviewed, and 120 articles were included. Study characteristics were extracted and described in a narrative analysis. Six main method types for improving race/ethnicity data were identified: expert review (n = 9; 8%), name lists (n = 27, 23%), name algorithms (n = 55, 46%), machine learning (n = 14, 12%), data linkage (n = 9, 8%), and other (n = 6, 5%). The main racial/ethnic groups targeted for classification were Asian (n = 56, 47%) and White (n = 51, 43%). Some form of validation evaluation was included in 86 articles (72%). We discuss the strengths and limitations of different method types and potential harms of identified methods. Innovative methods are needed to better identify racial/ethnic subgroups and further validation studies. Accurately collecting and reporting disaggregated data by race/ethnicity are critical to address the systematic missingness of relevant demographic data that can erroneously guide policymaking and hinder the effectiveness of health care practices and intervention.

A Scoping Review of Approaches to Improving Quality of Data Relating to Health Inequalities

Identifying and monitoring of health inequalities requires good-quality data. The aim of this work is to systematically review the evidence base on approaches taken within the healthcare context to improve the quality of data for the identification and monitoring of health inequalities and describe the evidence base on the effectiveness of such approaches or recommendations. Peer-reviewed scientific journal publications, as well as grey literature, were included in this review if they described approaches and/or made recommendations to improve data quality relating to the identification and monitoring of health inequalities. A thematic analysis was undertaken of included papers to identify themes, and a narrative synthesis approach was used to summarise findings. Fifty-seven papers were included describing a variety of approaches. These approaches were grouped under four themes: policy and legislation, wider actions that enable implementation of policies, data collection instruments and systems, and methodological approaches. Our findings indicate that a variety of mechanisms can be used to improve the quality of data on health inequalities at different stages (prior to, during, and after data collection). These findings can inform us of actions that can be taken by those working in local health and care services on approaches to improving the quality of data on health inequalities.

Lung cancer incidence trends by histology type among Asian American, Native Hawaiian, and Pacific Islander populations in the United States, 1990-2010

BACKGROUND

Lung cancer is one of the leading cancer sites diagnosed among Asian Americans, Pacific Islanders, and Native Hawaiians (AANHPI). To better understand the patterns of lung cancer incidence among AANHPIs, we examined the incidence trends of five histologic cell types of lung cancer across ten AANHPI populations in comparison with non-Hispanic Whites.

METHODS

Lung cancer incidence data from 1990 through 2010 were obtained from 13 U.S. population-based cancer registries. Age-adjusted histologic cell-type-specific incidence rates and 95% confidence intervals were calculated. Joinpoint regression models and annual percentage change (APC) statistics were used to characterize the magnitude and direction of trends.

RESULTS

From 1990 through 2010, incidence rates of adenocarcinoma increased significantly for Filipino and Korean women with a 2.6% and 3.0% annual percentage increase, respectively. More recently, a significant rise in the incidence of adenocarcinoma was observed for Chinese men (1996-2010; APC = 1.3%). Squamous cell carcinoma (SCC) increased 2.4% per year among Japanese women. For SCC, small cell lung carcinoma, large cell and other specified carcinoma, and unspecified types, stable or decreasing trends were observed in most AANHPI groups and non-Hispanic Whites.

CONCLUSIONS

AANHPIs demonstrate a range in the burden of lung cancer across histologies and specific populations.

IMPACT

These findings illustrate the importance of disaggregating AANHPIs into their specific populations. The rise in incidence of adenocarcinoma and SCC among certain AANHPIs demonstrates the need for research into non-tobacco associated risk factors for these populations and targeted efforts for tobacco prevention.

Cancer incidence trends among native Hawaiians and other Pacific Islanders in the United States, 1990-2008

BACKGROUND

Lack of annual population estimates for disaggregated Native Hawaiian and Other Pacific Islander (NHOPI) populations limits the ability to examine cancer incidence rates and trends to understand the cancer burdens among NHOPIs.

METHODS

Utilizing 1990 and 2000 population census data, we estimated the annual populations by age and sex for Native Hawaiians, Samoans, and Guamanians/Chamorros for 1990-2008 in regions covered by 13 of the National Cancer Institute's SEER registries. Cancer diagnoses during 1990-2008 from these registries were used to calculate the age-adjusted (2000 US Standard) incidence rates by sex, calendar year/period, and cancer type for each population. The annual percentage change (APC) in incidence rates was estimated with the 95% confidence intervals (95% CIs) calculated for both the rate and APC estimates.

RESULTS

Statistically significant declining trends were found in Native Hawaiians, in men for lung and stomach cancers (APC = -2.3%; 95% CI = -3.3 to -1.3; and APC = -3.8%; 95% CI = -6.0 to -1.6, respectively), and in women for breast cancer (APC = -4.1%; 95% CI = -5.7 to -2.5) since 1998 and lung cancer (APC = -6.4%; 95% CI = -10.7 to -1.8) since 2001. Rising incidence trends were experienced by Samoans, especially by Samoan women for breast (APC = 2.7%; 95% CI = 0.9 to 4.5) and uterus (APC = 7.3%; 95% CI = 6.2 to 8.4) cancers. With limited data, Guamanians/Chamorros demonstrated lower, but increasing, incidence rates than other NHOPIs.

CONCLUSIONS

Population-based cancer incidence rates for disaggregated NHOPI populations help identify disparities in cancer burden and provide valuable information to improve cancer control efforts among NHOPIs.