Does Distance Matter? Distance to Mammography Facilities and Stage at Diagnosis of Breast Cancer in Kentucky

Autor/inn/en	Huang, Bin; Dignan, Mark; Han, Daikwon; Johnson, Owen
Titel	Does Distance Matter? Distance to Mammography Facilities and Stage at Diagnosis of Breast Cancer in Kentucky
Quelle	In: Journal of Rural Health, 25 (2009) 4, S.366-371 (6 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0890-765X
DOI	10.1111/j.1748-0361.2009.00245.x
Schlagwörter	Travel; Females; Cancer; Identification; Risk; Information Systems; Geographic Location; Regression (Statistics); Diagnostic Tests; Clinical Diagnosis; Rural Areas; Screening Tests; Socioeconomic Status; Race; Measurement; At Risk Persons; Intervention; Kentucky + Suchen Sie Ihr Suchwort? Travelling; Reisen; Reise; Weibliches Geschlecht; Carcinoma; Karzinom; Krebs (med); Krebserkrankung; Identifikation; Identifizierung; Risiko; Regression; Regressionsanalyse; Diagnostic test; Diagnostischer Test; Rural area; Ländlicher Raum; Screening-Verfahren; Socio-economic status; Sozioökonomischer Status; Rasse; Abstammung; Messverfahren; Risikogruppe
Abstract	Background: National and regional data indicate that breast cancer early detection is low in Kentucky, especially rural regions, perhaps because access to mammography services can be problematic. Objective: This study examined the distance between residences of women diagnosed with breast cancer and the nearest mammography facility, as a risk factor for advanced stage diagnosis in rural populations. Methods: 1999-2003 Kentucky Cancer Registry data were used for this study. A total of 12,322 women, aged 40 and older at diagnosis, with no previous history of cancer, and with known cancer stage were included. Travel distance was obtained using a geographic information system (GIS). Hierarchical logistic regression models were used to analyze the relationship between travel distance and advanced stage diagnosis. Results: Advanced diagnoses had longer average travel distances than early stage diagnoses (P less than 0.01). After adjusting for age, race, insurance, and education at census tract level, the odds of advanced diagnosis were significantly greater for women residing over 15 miles from a facility, compared to those living within 5 miles (adjusted OR = 1.50, 95% CI = 1.25-1.80). Conclusion: Although socioeconomic status, race, and age may help explain advanced diagnoses, longer travel distance also adversely affects early detection for rural populations. Accurate measurement of spatial accessibility indicators, such as travel distance, facilitates identification of at-risk groups so that interventions can be developed to reduce this disease. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10