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.
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.
What it found
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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.
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Who cites it
4 citing papers in PubMed.
- Differences in Distress Between Rural and Non-rural Appalachian Breast Cancer Patient/Caregiver Dyads During the First Year of Treatment.Journal of Appalachian health · 2023Article
- Universal Patient Identifier and Interoperability for Detection of Serious Drug Interactions: Retrospective Study.JMIR medical informatics · 2020Article
- Oncology clinical trials and insurance coverage: An update in a tenuous insurance landscape.Cancer · 2019Article
- The pervasive crisis of diminishing radiation therapy access for vulnerable populations in the United States-Part 4: Appalachian patients.Advances in radiation oncologyArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
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.
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