Evidence map›Paper›PMID 25441233›Full record

ArticleAmerican journal of preventive medicine2015

Primary care physician supply, insurance type, and late-stage cancer diagnosis.

Jesse J Plascak, James L Fisher, Electra D Paskett

Open access · greenAbstract read
In one paragraph

Article in American journal of preventive medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

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  8. Should Measures of Health Care Availability Be Based on the Providers or the Procedures? A Case Study with Implications for Rural Colorectal Cancer Disparities.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2019
    Article
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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

3 authors at 3 institutions in 1 country.

Jesse J PlascakDepartment of Health Services, School of Public Health, The University of Washington, Seattle, Washington. Electronic address: plascak@uw.edu.
James L FisherJames Cancer Hospital and Solove Research Institute.
Electra D PaskettJames Cancer Hospital and Solove Research Institute; Division of Cancer Control and Prevention, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, Ohio.
The Ohio State University · USThe Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute · USUniversity of Washington · US

Funding

NAT'L PROG OF CANCER REGISTRIES NAT'L COMP CANCER PROG NAT'L BREAST & CERVICAL CAU58DP000795 · DP · OHIO STATE DEPARTMENT OF HEALTH · PI MIGLIOZZI, ADELINE A · 2007 to 2011
$28.6M
TRAINING AND CAREER DEVELOPMENTP50CA105632 · NCI · OHIO STATE UNIVERSITY · PI PASKETT, ELECTRA D. · 2003 to 2016
$17.2M
Biobehavioral Cancer Prevention and Control Training ProgramR25CA092408 · NCI · UNIVERSITY OF WASHINGTON · PI PATRICK, DONALD LEE · 2001 to 2015
$7.1M
NCCDPHP CDC HHS 5U58DP000795-05NCCDPHP CDC HHS U58 DP000795NCI NIH HHS CA105632NCI NIH HHS P50 CA105632NCI NIH HHS R25 CA092408NCI NIH HHS R25CA092408
6 · The paper itself

Abstract

backgroundUnderstanding the joint effects of insurance type and primary care physician density on stage at diagnosis is essential to elucidating the healthcare access and late-stage cancer relationship. PURPOSE: To determine if the relationship between primary care physician density and odds of late-stage cancer are modified by insurance type at diagnosis.

methodsCase patients were Ohio adults diagnosed between 1996 and 2008 with cancer of one of the following sites: female breast, cervix, colon/rectum, lung/bronchus, melanoma of the skin, oral cavity and pharynx, or prostate (N=376,425). County-level physician density was obtained from the Ohio Department of Health. Multilevel logistic regression models estimated odds ratios of late-stage cancer diagnosis associated with increases in primary care physician density by insurance type. Analyses were conducted in 2014.

resultsDecreases in late-stage diagnosis of cancers of the breast, prostate, melanoma of the skin, oral cavity and pharynx, or lung/bronchus associated with increases in primary care physician density were strongest among those with private insurance, whereas those with Medicare (prostate, oral cavity and pharynx, lung/bronchus), Medicaid (lung/bronchus), uninsured (prostate), and other/unknown (prostate, oral cavity and pharynx, lung/bronchus) did not benefit as greatly, or experienced significant increases in late-stage cancer diagnosis (other/unknown [female breast], Medicaid [melanoma of the skin], and uninsured [colon/rectum]).

conclusionsAs primary care physician density increases, those with private insurance consistently benefit the most in terms of late-stage cancer diagnosis, whereas those with several other insurance types experience flatter decreases or significantly higher odds of late-stage cancer diagnosis.

Indexed as

Delayed DiagnosisFemaleHumansInsurance, HealthMaleMedicaidMedically UninsuredMedicareNeoplasmsOhioPhysicians, Primary CarePrivate SectorUnited States

Identifiers

PMID25441233
PMCPMC4302041
OpenAlexW2049579254

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.