Evidence map›Paper›PMID 24754557›Full record

ArticleAmerican journal of public health2014

Methods for improving the quality and completeness of mortality data for American Indians and Alaska Natives.

David K Espey, Melissa A Jim, Thomas B Richards, Crystal Begay, Don Haverkamp, Diana Roberts

Abstract read
In one paragraph

Article in American journal of public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 1 pooled it
–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

76 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Characterizing Cancer Burden in the American Indian Population in North Carolina.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
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  20. Choice of Survival Metric and Its Impacts on Cancer Survival Estimates for American Indian and Alaska Native People.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article

16 more citing papers are in PubMed but not listed here.

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

6 authors.

David K EspeyDavid K. Espey, Melissa A. Jim, Thomas B. Richards, and Don Haverkamp are with the Division of Cancer Prevention and Control, Centers for Disease Control, Albuquerque, NM. Crystal Begay is with the New Mexico Department of Health, Santa Fe. Diana Roberts is with the Indian Health Service, Anchorage, AK. David K. Espey is also a guest editor for this supplement issue.
Melissa A Jim
Thomas B Richards
Crystal Begay
Don Haverkamp
Diana Roberts

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe describe methods used to mitigate the effect of race misclassification in mortality records and the data sets used to improve mortality estimates for American Indians and Alaska Natives (AI/ANs).

methodsWe linked US National Death Index (NDI) records with Indian Health Service (IHS) registration records to identify AI/AN deaths misclassified as non-AI/AN deaths. Analyses excluded decedents of Hispanic origin and focused on Contract Health Service Delivery Area (CHSDA) counties. We compared death rates for AI/AN persons and Whites across 6 US regions.

resultsIHS registration records merged to 176,137 NDI records. Misclassification of AI/AN race in mortality data ranged from 6.3% in the Southwest to 35.6% in the Southern Plains. From 1999 to 2009, the all-cause death rate in CHSDA counties for AI/AN persons varied by geographic region and was 46% greater than that for Whites. Analyses for CHSDA counties resulted in higher death rates for AI/AN persons than in all counties combined.

conclusionsImproving race classification among AI/AN decedents strengthens AI/AN mortality data, and analyzing deaths by geographic region can aid in planning, implementation, and evaluation of efforts to reduce health disparities in this population.

Indexed as

AdolescentAdultAgedAged, 80 and overAlaskaCause of DeathChildChild, PreschoolData CollectionDeath CertificatesFemaleHumansIndians, North AmericanInfantInuitMale

Identifiers

PMID24754557
PMCPMC4035865

What OpenQuestion holds

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Registered trials

None linked

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.