| The self-reported likelihood of patient delay in breast cancer: new thoughts for early detection. | |
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MedLine Citation:
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PMID: 11914045 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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BACKGROUND: Delayed presentation of self-discovered breast symptoms influences stage of cancer at diagnosis and decreases breast cancer survival. METHODS: A total of 699 asymptomatic women (black, white, and Latino), recruited in community settings and stratified by age, income, and educational level, were surveyed for their likelihood to delay (J-Delay scale) in the event of a breast symptom discovery. Models of likelihood were tested with logistic regression analyses. RESULTS: A total of 166 women (23.7%) reported likelihood to delay. Lower income, lower educational level, self identification as Latino or black, experienced prejudice in care delivery, perceived lack of access to health care, fatalism about breast cancer, poor health care utilization habits, self-care behavior, spouse/partner and employer perceived constraints, problem-solving style, and a lack of knowledge of breast cancer's presenting symptoms were associated with likelihood to delay. A combined sample multiple logistic regression model correctly predicted 40.6% of women reporting a likelihood to delay, 94.9% of those not likely to delay, and 82.4% (551 of 669) of cases overall. CONCLUSIONS: Self-reported likelihood of patient delay is measurable in advance of symptom occurrence, and this measure is consistent with behavioral and knowledge variables previously linked with advanced breast cancer at diagnosis. |
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Authors:
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Noreen C Facione; Christine Miaskowski; Marylin J Dodd; Steven M Paul |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S. |
Journal Detail:
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Title: Preventive medicine Volume: 34 ISSN: 0091-7435 ISO Abbreviation: Prev Med Publication Date: 2002 Apr |
Date Detail:
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Created Date: 2002-03-26 Completed Date: 2002-05-09 Revised Date: 2007-11-14 |
Medline Journal Info:
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Nlm Unique ID: 0322116 Medline TA: Prev Med Country: United States |
Other Details:
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Languages: eng Pagination: 397-407 Citation Subset: IM |
Copyright Information:
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(C)2002 Elsevier Science (USA). |
Affiliation:
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University of California San Francisco, California 94143, USA. Noreen.facione@nursing.ucsf.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Breast Neoplasms / diagnosis* Female Health Behavior* / ethnology Health Knowledge, Attitudes, Practice Health Services Accessibility Humans Likelihood Functions Logistic Models Prospective Studies San Francisco Socioeconomic Factors Time Factors |
| Grant Support | |
ID/Acronym/Agency:
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P30 NR03927/NR/NINR NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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