The coverage of young children in demographic surveys

Jensen, Eric B.; Hogan, Howard

doi:10.3233/sji-170376

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…Decennial Census results and the Census Bureau's post-Census population estimates are often used to weight sample surveys both inside and outside government. If the Decennial Census counts and subsequent population estimates underestimate a population group, the weighted survey results will reflect this error (Jensen and Hogan 2017;O'Hare and Jensen 2014;O'Hare et al 2013). Several analysts have shown how Census undercounts distort estimates of poverty rates for children (Hernandez and Denton 2001;Daponte and Wolfson 2003;.…”

Section: Population Estimates Projections and Surveysmentioning

confidence: 99%

Differential Undercounts in the U.S. Census

O’Hare¹

2019

SpringerBriefs in Population Studies

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SpringerBriefs in Population Studies presents concise summaries of cutting-edge research and practical applications across the field of demography and population studies. It publishes compact refereed monographs under the editorial supervision of an international Advisory Board. Volumes are compact, 50 to 125 pages, with a clear focus. The series covers a range of content from professional to academic such as: timely reports of state-of-the art analytical techniques, bridges between new research results, snapshots of hot and/or emerging topics, and in-depth case studies. The scope of the series spans the entire field of demography and population studies, with a view to significantly advance research. The character of the series is international and multidisciplinary and includes research areas such as: population aging, fertility and family dynamics, demography, migration, population health, household structures, mortality, human geography and environment. Volumes in this series may analyze past, present and/or future trends, as well as their determinants and consequences. Both solicited and unsolicited manuscripts are considered for publication in this series. SpringerBriefs in Population Studies will be of interest to a wide range of individuals with interests in population studies, including demographers, population geographers, sociologists, economists, political scientists, epidemiologists and health researchers as well as practitioners across the social sciences.

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Section: Population Estimates Projections and Surveysmentioning

confidence: 99%

Differential Undercounts in the U.S. Census

O’Hare¹

2019

SpringerBriefs in Population Studies

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7 Demography of Childhood

Mayol-Garcia

O’Hare²

2019

Handbooks of Sociology and Social Research

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Linking national primary care electronic health records to individual records from the U.S. Census Bureau’s American Community Survey: evaluating the likelihood of linkage based on patient health

Limburg,

Gladish,

Rehkopf

et al. 2024

Journal of the American Medical Informatics Association

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Objectives To evaluate the likelihood of linking electronic health records (EHRs) to restricted individual-level American Community Survey (ACS) data based on patient health condition. Materials and Methods Electronic health records (2019-2021) are derived from a primary care registry collected by the American Board of Family Medicine. These data were assigned anonymized person-level identifiers (Protected Identification Keys [PIKs]) at the U.S. Census Bureau. These records were then linked to restricted individual-level data from the ACS (2005-2022). We used logistic regressions to evaluate match rates for patients with health conditions across a range of severity: hypertension, diabetes, and chronic kidney disease. Results Among more than 2.8 million patients, 99.2% were assigned person-level identifiers (PIKs). There were some differences in the odds of receiving an identifier in adjusted models for patients with hypertension (OR = 1.70, 95% CI: 1.63, 1.77) and diabetes (OR = 1.17, 95% CI: 1.13, 1.22), relative to those without. There were only small differences in the odds of matching to ACS in adjusted models for patients with hypertension (OR = 1.03, 95% CI: 1.03, 1.04), diabetes (OR = 1.02, 95% CI: 1.01, 1.03), and chronic kidney disease (OR = 1.05, 95% CI: 1.03, 1.06), relative to those without. Discussion and Conclusion Our work supports evidence-building across government consistent with the Foundations for Evidence-Based Policymaking Act of 2018 and the goal of leveraging data as a strategic asset. Given the high PIK and ACS match rates, with small differences based on health condition, our findings suggest the feasibility of enhancing the utility of EHR data for research focused on health.

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The coverage of young children in demographic surveys

Cited by 3 publications

References 11 publications

Differential Undercounts in the U.S. Census

Differential Undercounts in the U.S. Census

7 Demography of Childhood

Linking national primary care electronic health records to individual records from the U.S. Census Bureau’s American Community Survey: evaluating the likelihood of linkage based on patient health

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