Racial and Ethnic Differences in a Linkage With the National Death Index

Miller, Eric A.; McCarty, Frances; Parker, Jennifer D.

doi:10.18865/ed.27.2.77

Cited by 11 publications

(8 citation statements)

References 17 publications

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“…Additionally, factors may be related to the mortality linkage that affects race/ethnicity-specific comparisons; linkages for Hispanics, for example, may be incomplete because of missing linkage information. 50 , 51 …”

Section: Discussionmentioning

confidence: 99%

Particulate Matter Air Pollution Exposure and Heart Disease Mortality Risks by Race and Ethnicity in the United States

2018

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Background:Most US studies of mortality and air pollution have been conducted on largely non-Hispanic white study populations. However, many health and mortality outcomes differ by race and ethnicity, and non-Hispanic white persons experience lower air pollution exposure than those who are non-Hispanic black or Hispanic. This study examines whether associations between air pollution and heart disease mortality differ by race/ethnicity.Methods:We used data from the 1997 to 2009 National Health Interview Survey linked to mortality records through December 2011 and annual estimates of fine particulate matter (PM2.5) by census tract. Proportional hazards models were used to estimate hazard ratios and 95% confidence intervals between PM2.5 (per 10 µg/m3) and heart disease mortality using the full sample and the sample adults, which have information on additional health variables. Interaction terms were used to examine differences in the PM2.5-mortality association by race/ethnicity.Results:Overall, 65 936 of the full sample died during follow-up, and 22 152 died from heart disease. After adjustment for several factors, we found a significant positive association between PM2.5 and heart disease mortality (hazard ratio, 1.16; 95% confidence interval, 1.08–1.25). This association was similar in sample adults with adjustment for smoking and body mass index (hazard ratio, 1.18; 95% confidence interval, 1.06–1.31). Interaction terms for non-Hispanic black and Hispanic groups compared with the non-Hispanic white group were not statistically significant.Conclusions:Using a nationally representative sample, the association between PM2.5 and heart disease mortality was elevated and similar to previous estimates. Associations for non-Hispanic black and Hispanic adults were not statistically significantly different from those for non-Hispanic white adults.

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Section: Discussionmentioning

confidence: 99%

Particulate Matter Air Pollution Exposure and Heart Disease Mortality Risks by Race and Ethnicity in the United States

2018

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“…The reduced probability of merging but not linkage for in‐hospital death is another example and likely a reflection of survivor bias in which those who survived had an increased opportunity to have a Medicare claim and medication dispensing claims 24 . The impact of this form of bias on study design and outcomes has been well documented in the pharmacoepidemiology literature 25 . Knowledge of these nuances is important for accurate interpretation of these types of linked data.…”

Section: Discussionmentioning

confidence: 99%

Linking Australian Stroke Clinical Registry data with Australian government Medicare and medication dispensing claims data and the potential for bias

Andrew

Cadilhac

Sundararajan

et al. 2021

Australian and New Zealand Journal of Public Health

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Objective: We aim to report the accuracy of linking data from a non‐government‐held clinical quality registry to national claims data and identify associated sources of systematic bias. Methods: Patients with stroke or transient ischaemic attack admitted to hospitals participating in the Australian Stroke Clinical Registry (AuSCR) were linked with Medicare and medication dispensings through the Australian Medicare enrolment file (MEF). The proportion of registrants in the datasets was calculated and factors associated with a non‐merge assessed using multivariable analyses. Results: A total of 17,980 AuSCR registrants (January 2010 – July 2014) were submitted for linkage (median age 76 years; 46% female; 67% ischaemic stroke); the proportion merged was 97% MEF, 93% Medicare and 95% medication dispensings. Data from registrants born in Asia were less likely to link with the MEF (adjusted Odds Ratio [aOR]: 0.20; 95%Confidence Interval [CI]: 0.15, 0.27). Data for those aged 85‐plus compared to those under 65 years were less likely to merge with Medicare (aOR 0.25; 95%CI:0.21, 0.30) but more likely to merge with dispensing claims data (aOR: 2.15 (95%CI:1.71, 2.69). Implications for public health: Linkage between the AuSCR, a national clinical quality registry and Commonwealth datasets was achieved and potential sources of bias were identified.

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“…Socioeconomic status (SES) is likely to be particularly important, as it affects mobility, health, and quality of reporting, and can lead to serious bias in the conclusions of studies based on these datasets. Previous studies of mortality linkages have found reduced linkage with Hispanic populations, for instance [7, 8].…”

Section: Introductionmentioning

confidence: 99%

Comparison of reproductive history gathered by interview and by vital records linkage after 40 years of follow-up: Bogalusa Babies

Harville

Jacobs

Tian

et al. 2019

BMC Med Res Methodol

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Background To examine the consistency and likely degree of bias in a study of cardiovascular health, linked with reproductive data over 40 years. Methods Linkage of vital statistics data of births to female Bogalusa Heart Study participants was compared to interviewing of female participants. The characteristics of participants, the agreement, and demographic, study-related, and medical predictors of discrepancy were analyzed, using kappa statistics, mean and median differences, and logistic regression. Results Overall, 3944 (66.7%) of participants were located by one or both sources. The strongest predictor of either linkage or interview was recent and/or frequent participation in the parent study. Agreement between the two sources was generally good (kappa > 0.9 for birthweight and 0.8 for gestational age). Black race, older age, and time since pregnancy were associated with greater discrepancy in reporting of outcomes, but cardiovascular risk factors generally were not. Conclusions Combining information from multiple sources to increase sample size and outcome ascertainment may be valid, which will increase population health sciences’ ability to leverage the many existing, large-scale sources to answer previously unexplored questions, even those that the data were not initially collected to answer. Electronic supplementary material The online version of this article (10.1186/s12874-019-0758-0) contains supplementary material, which is available to authorized users.

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Racial and Ethnic Differences in a Linkage With the National Death Index

Cited by 11 publications

References 17 publications

Particulate Matter Air Pollution Exposure and Heart Disease Mortality Risks by Race and Ethnicity in the United States

Particulate Matter Air Pollution Exposure and Heart Disease Mortality Risks by Race and Ethnicity in the United States

Linking Australian Stroke Clinical Registry data with Australian government Medicare and medication dispensing claims data and the potential for bias

Comparison of reproductive history gathered by interview and by vital records linkage after 40 years of follow-up: Bogalusa Babies

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