Evidence map›Paper›PMID 28102909›Full record

ArticleThe Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association2018

The Effects of Hospital Characteristics on Delays in Breast Cancer Diagnosis in Appalachian Communities: A Population-Based Study.

Christopher J Louis, Jonathan R Clark, Marianne M Hillemeier, Fabian Camacho, Nengliang Yao, Roger T Anderson

Abstract read
In one paragraph

Article in The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Christopher J LouisDepartment of Health Law, Policy and Management, Boston University, Boston, Massachusetts.
Jonathan R ClarkCollege of Business, The University of Texas at San Antonio, San Antonio, Texas.
Marianne M HillemeierDepartment of Health Policy and Administration, The Pennsylvania State University, University Park, Pennsylvania.
Fabian CamachoDepartment of Public Health Sciences, University of Virginia, Charlottesville, Virginia.
Nengliang YaoDepartment of Public Health Sciences, University of Virginia, Charlottesville, Virginia.
Roger T AndersonDepartment of Public Health Sciences, University of Virginia, Charlottesville, Virginia.

Funding

Patterns of Patient Care in AppalachiaR01CA140335 · NCI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI ANDERSON, ROGER T. · 2010 to 2012
$1.3M
NCI NIH HHS R01 CA140335
6 · The paper itself

Abstract

purposeDespite being generally accepted that delays in diagnosing breast cancer are of prognostic and psychological concern, the influence of hospital characteristics on such delays remains poorly understood, especially in rural and underserved areas. However, hospital characteristics have been tied to greater efficiency and warrant further investigation as they may have implications for breast cancer care in these areas.

methodsStudy data were derived from the Kentucky, North Carolina, Ohio, and Pennsylvania state central cancer registries (2006-2008). We then linked Medicare enrollment files and claims data (2005-2009), the Area Resource File (2006-2008), and the American Hospital Association Annual Survey of Hospitals (2007) to create an integrated data set. Hierarchical linear modeling was used to regress the natural log of breast cancer diagnosis delay on a number of hospital-level, demographic, and clinical characteristics.

findingsThe baseline study sample consisted of 4,547 breast cancer patients enrolled in Medicare that lived in Appalachian counties at the time of diagnosis. We found that hospitals with for-profit ownership (P < .01) had shorter diagnosis delays than their counterparts. Estimates for comprehensive oncology services, system membership and size were not statistically significant at conventional levels.

conclusionsSome structural characteristics of hospitals (eg, for-profit ownership) in the Appalachian region are associated with having shorter delays in diagnosing breast cancer. Researchers and practitioners must go beyond examining patient-level demographic and tumor characteristics to better understand the drivers of timely cancer diagnosis, especially in rural and underserved areas.

Indexed as

AdultAgedAged, 80 and overBreast NeoplasmsDelayed DiagnosisFemaleHospitalsHumansKentuckyLogistic ModelsMiddle AgedNorth CarolinaOhioPennsylvaniaAppalachiabreast cancerhospitalsmedicarerural areas

Identifiers

PMID28102909
PMCPMC5517359

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.