Evidence map›Paper›PMID 34314212›Full record

ArticleAmerican journal of public health2021

Measuring All-Cause Mortality With the Census Numident File.

Keith Finlay, Katie R Genadek

Abstract readComparative Study
In one paragraph

Article in American journal of public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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  6. Heterogeneity in Damages from A Pandemic.The review of economics and statistics · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Keith FinlayBoth authors are with the US Census Bureau, Suitland, MD. Katie R. Genadek is also with the Institute of Behavioral Science, University of Colorado‒Boulder.
Katie R GenadekBoth authors are with the US Census Bureau, Suitland, MD. Katie R. Genadek is also with the Institute of Behavioral Science, University of Colorado‒Boulder.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the quality of population-level US mortality data in the US Census Bureau Numerical Identification file (Numident) and describe the details of the mortality information as well as the novel person-level linkages available when using the Census Numident.

methodsWe compared all-cause mortality in the Census Numident to published vital statistics from the Centers for Disease Control and Prevention. We provide detailed information on the linkage of the Census Numident to other Census Bureau survey, administrative, and economic data.

resultsDeath counts in the Census Numident are similar to those from published mortality vital statistics. Yearly comparisons show that the Census Numident captures more deaths since 1997, and coverage is slightly lower going back in time. Weekly estimates show similar trends from both data sets.

conclusionsThe Census Numident is a high-quality and timely source of data to study all-cause mortality. The Census Bureau makes available a vast and rich set of restricted-use, individual-level data linked to the Census Numident for researchers to use. PUBLIC HEALTH IMPLICATIONS: The Census Numident linked to data available from the Census Bureau provides infrastructure for doing evidence-based public health policy research on mortality.

Indexed as

CensusesVital StatisticsCause of DeathCenters for Disease Control and Prevention, U.S.Data CollectionForecastingHumansMortalityUnited States

Identifiers

PMID34314212
PMCPMC8495642

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.