Evidence map›Paper›PMID 29851945›Full record

ArticleMMWR. Morbidity and mortality weekly report2018

Health Insurance Coverage by Occupation Among Adults Aged 18-64 Years - 17 States, 2013-2014.

Winifred L Boal, Jia Li, Aaron Sussell

Open access · bronzeAbstract read
In one paragraph

Article in MMWR. Morbidity and mortality weekly report, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
6.8field-weighted citation impact, top 4% of its field
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

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Rural health and rural industries: Opportunities for partnership and action.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2024
    Article
  5. Article
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  7. Deaths of Despair Among Healthcare Workers, Massachusetts, 2011 to 2015.Journal of occupational and environmental medicine · 2021
    Article
  8. COVID-19 deaths by occupation, Massachusetts, March 1-July 31, 2020.American journal of industrial medicine · 2021
    Article
  9. Article
  10. Article
  11. Use of population data for assessing trends in work-related asthma mortality.Current opinion in allergy and clinical immunology · 2019
    Review
  12. Article
  13. Article
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

3 authors at 1 institution in 1 country.

Winifred L Boal
Jia Li
Aaron Sussell
Center for Surveillance, Epidemiology, and Laboratory Services · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lack of health insurance has been associated with poorer health status and with difficulties accessing preventive health services and obtaining medical care, especially for chronic diseases (1-3). Among workers, the prevalence of chronic conditions, risk behaviors, and having health insurance has been shown to vary by occupation (4,5). CDC used data from the 2013 and 2014 Behavioral Risk Factor Surveillance System (BRFSS) to estimate the prevalence of having no health care coverage (e.g., health insurance, prepaid plans such as health maintenance organizations, government plans such as Medicare, or Indian Health Service) by occupation. Among all workers aged 18-64 years, the prevalence of being uninsured declined significantly (21%) from 16.0% in 2013 to 12.7% in 2014. In both years there were large differences in the prevalence of being uninsured among occupational groups, ranging from 3.6% among the architecture and engineering occupations to 37.9% among the farming, fishing, and forestry occupations in 2013 and 2.7% among community and social services; and education, training, and library occupations to 37.0% among building and grounds cleaning and maintenance occupations in 2014 (p<0.001). In 2014, more than 25% of workers in four occupational groups reported having no health insurance (construction and extraction [29.1%]; farming, fishing, and forestry [34.6%]; food preparation and serving related [35.5%]; and building and grounds cleaning and maintenance [37.0%]). Identifying factors affecting differences in coverage by occupation might help to address health disparities among occupational groups.

Indexed as

AdolescentAdultFemaleHumansInsurance CoverageInsurance, HealthMaleMiddle AgedOccupationsUnited StatesYoung Adult

Identifiers

PMID29851945
PMCPMC6038906
OpenAlexW2807561569

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.