Neighborhood factors associated with time to resolution following an abnormal breast or cervical cancer screening test

Cancer Epidemiology Biomarkers and Prevention

Volumn 23, Issue 12, 2014, Pages 2819-2828

  Plascak, Jesse J ^a   Llanos, Adana A ^b   Pennell, Michael L ^c   Weier, Rory C ^c,d   Paskett, Electra D ^c,d,e  

^a UNIVERSITY OF WASHINGTON   (United States)

^b RUTGERS SCHOOL OF PUBLIC HEALTH   (United States)

^c OHIO STATE UNIVERSITY   (United States)

^d OHIO STATE UNIVERSITY   (United States)

^e BAYLOR UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AFRICAN AMERICAN; AGE; ARTICLE; BREAST CANCER; CANCER SCREENING; EDUCATIONAL STATUS; EUROPEAN AMERICAN; FEMALE; HEALTH CARE CONCEPTS; HEALTH CARE DISPARITY; HUMAN; INCOME; MAJOR CLINICAL STUDY; MEDICAL RECORD REVIEW; MEDICALLY UNINSURED; MULTICENTER STUDY (TOPIC); NEIGHBORHOOD; PRIVATE HEALTH INSURANCE; PUBLIC HEALTH INSURANCE; RANDOMIZED CONTROLLED TRIAL (TOPIC); SOCIAL STATUS; SOCIAL SUPPORT; TIME TO RESOLUTION; UTERINE CERVIX CANCER; BREAST NEOPLASMS; CONTROLLED STUDY; EARLY DIAGNOSIS; RANDOMIZED CONTROLLED TRIAL; SOCIOECONOMICS; TIME; UTERINE CERVICAL NEOPLASMS;

BREAST NEOPLASMS; EARLY DETECTION OF CANCER; FEMALE; HEALTHCARE DISPARITIES; HUMANS; SOCIOECONOMIC FACTORS; TIME FACTORS; UTERINE CERVICAL NEOPLASMS;

EID: 84919397039     PISSN: 10559965     EISSN: 15387755     Source Type: Journal    
DOI: 10.1158/1055-9965.EPI-14-0348     Document Type: Article

References (69)

1. Centers for Disease Control and Prevention (CDC). Vital signs: racial disparities in breast cancer severity - United states, 2005-2009. MMWR Morb Mortal Wkly Rep 2012; 61: 922-6.
2. Clegg LX, Reichman ME, Miller B.A., Hankey BF, Singh GK, Lin YD, et al Impact of socioeconomic status on cancer incidence and stage at diagnosis: selected findings from the surveillance, epidemiology, and end results: National longitudinal mortality study. Cancer Causes Control 2009; 20: 417-35.
3. Howlader N, Noone AM, Krapcho M, Garshell J, Miller D, Altekruse SF, et al. Seer cancer statistics review, 1975-2008: Tables and graphs. Bethesda, MD: U.S. Dept. of Health and Human Services, Public Health Service, National Institutes of Health, National Cancer Institute; 2010.
4. Markossian TW, Hines RB Disparities in late stage diagnosis, treatment, and breast cancer-related death by race, age, and rural residence among women in Georgia. Women Health 2012; 52: 317-35.
5. Simard EP, Fedewa S, Ma J., Siegel R, Jemal A. Widening socioeconomic disparities in cervical cancer mortality among women in 26 states, 1993-2007. Cancer 2012; 118: 5110-6.
6. McCarthy AM, Dumanovsky T, Visvanathan K., Kahn AR, Schymura MJ. Racial/ethnic and socioeconomic disparities in mortality among women diagnosed with cervical cancer in new York City, 1995-2006. Cancer Causes Control 2010; 21: 1645-55.
7. Shi L, Lebrun LA, Zhu J, Tsai J. Cancer screening among racial/ethnic and insurance groups in the united states: a comparison of disparities n 2000 and 2008. J Health Care Poor Underserved 2011; 22: 945-61.
8. Miranda PY, Tarraf W, Gonzalez HM Breast cancer screening and ethnicity in the united states: implications for health disparities research. Breast Cancer Res Treat 2011; 128: 535-42.
9. Gornick ME, Eggers PW, Riley GF Associations of race, education, and patterns of preventive service use with stage of cancer at time of diagnosis. Health Serv Res 2004; 39: 1403-28.
10. Avis-Williams A., Khoury A, Lisovicz N., Graham-Kresge S. Knowledge, attitudes, and practices of underserved women in the rural south toward breast cancer prevention and detection. Fam Community Health 2009; 32: 238-46.
11. Documet PI, Green HH, Adams J, Weil L.A., Stockdale J., Hyseni Y. Perspectives of African American, Amish, Appalachian and Latina women on breast and cervical cancer screening: implications for cultural competence. J Health Care Poor Underserved 2008; 19: 56-74.
12. Mandelblatt JS, Yabroff KR, Kerner JF Equitable access to cancer services. Cancer 1999; 86: 2378-90.
13. Dai D. Black residential segregation, disparities in spatial access to health care facilities, and late-stage breast cancer diagnosis in metropolitan Detroit. Health Place 2010; 16: 1038-52.
14. Dailey AB, Kasl SV, Holford T.R., Calvocoressi L., Jones BA. Neighborhood-level socioeconomic predictors of nonadherence to mammography screening guidelines. Cancer Epidemiol Biomarkers Prev 2007; 16:2293-303.
15. Keegan T, Quach T, Shema S., Glaser S, Gomez S. The influence of nativity and neighborhoods on breast cancer stage at diagnosis and survival among California Hispanic women. BMC Cancer 2010; 10:603.
16. Warner ET, Gomez SL Impact ofneighborhood racial composition and metropolitan residential segregation on disparities in breast cancer stage at diagnosis and survival between black and white women in California. J Community Health 2010; 35: 398-408.
17. Paskett ED, Harrop J, Wells KJ Patient navigation: an update on the state of the science. CA Cancer J Clin 2011; 61: 237-49.
18. Battaglia TA, Bak SM, Heeren T, Chen C.A., Kalish R., Tringale S, et al. Boston patient navigation research program: the impact of navigation on time to diagnostic resolution after abnormal cancer screening. Cancer Epidemiol Biomarkers Prev 2012; 21: 1645-54.
19. Markossian TW, Darnell JS, Calhoun EA Follow-up and timeliness after an abnormal cancer screening among underserved, urban women in a patient navigation program. Cancer Epidemiol Biomarkers Prev 2012; 21: 1691-700.
20. Ferrante JM, Chen PH, Kim S. The effect of patient navigation on time to diagnosis, anxiety, and satisfaction in urban minority women with abnormal mammograms: a randomized controlled trial. J Urban Health 2008; 85: 114-24.
21. Paskett ED, Katz ML, Post D.M., Pennell ML, Young GS, Seiber EE, et al The Ohio patient navigation research program: does the American cancer society patient navigation model improve time to resolution in patients with abnormal screening tests? Cancer Epidemiol Biomarkers Prev 2012; 21: 1620-8.
22. Fiscella K, Whitley E, Hendren S., Raich P, Humiston S, Winters P., et al. Patient navigation for breast and colorectal cancer treatment: a randomized trial. Cancer Epidemiol Biomarkers Prev 2012; 21: 1673-81.
23. Hendren S, Griggs JJ, Epstein R, Humiston S., Jean-Pierre P, Winters P, et al Randomized controlled trial of patient navigation for newly diagnosed cancer patients: effects on quality of life. Cancer Epidemiol Biomarkers Prev 2012; 21: 1682-90.
24. Galster GC. The mechanism (s) of neighbourhood effects: Theory, evidence, and policy implications. In: Neighbourhood effects research: New perspectives. Springer: Netherlands; 2012. p. 23-56.
25. Krieger N, Chen JT, Waterman P.D., Soobader MJ, Subramanian SV, Carson R. Geocoding and monitoring of US socioeconomic inequalities in mortality and cancer incidence: does the choice of area-based measure and geographic level matter?: the public health disparities geocoding project. Am J Epidemiol 2002; 156: 471-82.
26. Henry KA, Boscoe FP, Johnson C.J., Goldberg DW, Sherman R, Cockburn M. Breast cancer stage at diagnosis: is travel time important? J Community Health 2011; 36: 933-42.
27. Wang F, McLafferty S, Escamilla V., Luo L. Late-stage breast cancer diagnosis and health care access in Illinois. Prof Geogr 2008; 60: 54-69.
28. Silverstein MD, Nietert PJ, Ye X, Lackland DT Access to care and stage at diagnosis for patients with lung cancer and esophageal cancer: analysis of the savannah river region information system cancer registry data. South Med J 2002; 95: 900-8.
29. Huang B, Dignan M, Han D., Johnson O. Does distance matter? distance to mammography facilities and stage at diagnosis of breast cancer in Kentucky. J Rural Health 2009; 25: 366-71.
30. Vargas RB, Ryan GW, Jackson C.A., Rodriguez R., Freeman HP. Characteristics of the original patient navigation programs to reduce disparities in the diagnosis and treatment of breast cancer. Cancer 2008; 113: 426-33.
31. Schwaderer KA, Itano JK Bridging the healthcare divide with patient navigation: development of a research program to address disparities. Clin J Oncol Nurs 2007; 11: 633-9.
32. Freund KM, Battaglia TA, Calhoun E, Dudley D.J., Fiscella K., Paskett E, et al. National cancer institute patient navigation research program. Cancer 2008; 113: 3391-9.
33. Phelan JC, Link BG, Diez-Roux A, Kawachi I., Levin B. "Fundamental causes" of social inequalities in mortality: a test of the theory. J Health Soc Behav 2004; 45: 265-85.
34. Krieger N. Epidemiology and the people's health: Theory and context. New York: Oxford University Press; 2011.
35. Marmot MG, Wilkinson RG Social determinants of health. 2nd ed. Oxford: Oxford University Press; 2006.
36. Warnecke RB, Oh A, Breen N., Gehlert S, Paskett E, Tucker K.L., et al. Approaching health disparities from a population perspective: the national institutes of health centers for population health and health disparities. Am J Public Health 2008; 98: 1608-15.
37. McEwen BS, Gianaros PJ Central role of the brain in stress and adaptation: links to socioeconomic status, health, and disease. Ann N Y Acad Sci 2010; 1186: 190-222.
38. Krieger N, Chen JT, Waterman P.D., Rehkopf DH, Subramanian SV. Race/ethnicity, gender, and monitoring socioeconomic gradients in health: a comparison of area-based socioeconomic measures-the public health disparities geocoding project. Am J Public Health 2003; 93:1655-71.
39. Gomez SL, Glaser SL, McClure L.A., Shema SJ, Kealey M, Keegan TH, et al The California neighborhoods data system: a new resource for examining the impact of neighborhood characteristics on cancer incidence and outcomes in populations. Cancer Causes Control 2011; 22:631-47.
40. Messer LC, Laraia BA, Kaufman J.S., Eyster J., Holzman C, Culhane J, et al The development of a standardized neighborhood deprivation index. J Urban Health 2006; 83: 1041-62.
41. Massey DS, Gross AB, Shibuya K. Migration, segregation, and the geographic concentration of poverty. Am Sociol Rev 1994; 59: 425-45.
42. Sampson RJ, Sharkey P. Neighborhood selection and the social reproduction of concentrated racial inequality. Demography 2008; 45: 1-29.
43. Penchansky R, Thomas JW The concept of access: definition and relationship to consumer satisfaction. Med Care 1981; 19: 127-40.
44. Baade PD, Turrell G, Aitken JF Geographic remoteness, area-level socio-economic disadvantage and advanced breast cancer: a cross-sectional, multilevel study. J Epidemiol Community Health 2011; 65: 1037-43.
45. http://factfinder2.census.gov [September 26, 2011]. 2000 census of population and housing, summary file 4 2000. U.S. census bureau; Washington, DC.
46. http://www.census.gov/hhes/www/housing/housing-patterns/excel-place.html [September 26, 2011]. 2000 census of population and housing, residential housing patterns 2000. U.S. census bureau; Washington, DC.
47. Massey DS, Denton NA The dimensions of residential segregation. Soc Forces 1988; 67: 281-315.
48. Do DP, Diez Roux AV, Hajat A, Auchincloss AH, Merkin S.S., Ranjit N., et al. Circadian rhythm of cortisol and neighborhood characteristics in a population-based sample: the multi-ethnic study of atherosclerosis. Health Place 2011; 17: 625-32.
49. Henderson C, Liu X, Diez Roux AV, Link BG, Hasin D. The effects of US state income inequality and alcohol policies on symptoms of depression and alcohol dependence. Soc Sci Med 2004; 58: 565-75.
50. Clayton D, Cuzick J. Multivariate generalizations of the proportional hazards model. J R Stat Soc A (General) 1985; 148: 82-117.
51. Vaupel JW, Manton KG, Stallard E. The impact of heterogeneity in individual frailty on the dynamics of mortality. Demography 1979; 16: 439-54.
52. Oakes JM, Kaufman JS Methods in social epidemiology. New York: John Wiley & Sons; 2006.
53. Moffitt R. Remarks on the analysis of causal relationships in population research. Demography 2005; 42: 91-108.
54. Zucker DM. An analysis of variance pitfall: the fixed effects analysis in a nested design. Educ Psychol Meas 1990; 50: 731-8.
55. Waller LA, Gotway CA Applied spatial statistics for public health data. Hoboken, N.J.: John Wiley & Sons; 2004.
56. Law J, Chan PW Monitoring residual spatial patterns using Bayesian hierarchical spatial modelling for exploring unknown risk factors. Transactions in GIS 2011; 15: 521-40.
57. Paciorek CJ. The importance of scale for spatial-confounding bias and precision of spatial regression estimators. Stat Sci 2010; 25: 107-25.
58. Environmental Systems Research Institute. ArcGIS desktop. version 10.2. Redlands, CA: Environmental Systems Research Institute; 2013.
59. Moran P. Notes on continuous stochastic phenomena. Biometrika 1950; 37: 17-23.
60. Anselin L, Syabri I, Kho Y. GeoDa: an introduction to spatial data analysis. Geogr Anal 2006; 38: 5-22.
61. StataCorp L. Stata version 12.0. College station, TX: StataCorp LP; 2011.
62. Diez Roux AV. The study of group-level factors in epidemiology: rethinking variables, study designs, and analytical approaches. Epidemiol Rev 2004; 26: 104-11.
63. Rothman KJ, Greenland S, Lash TL Modern epidemiology. 3rd ed. Philadelphia; Wolters Kluwer Health/Lippincott Williams & Wilkins; 2008.
64. VanderWeele TJ. Causal mediation analysis with survival data. Epidemiology 2011; 22: 582-5.
65. Valeri L, VanderWeele TJ Mediation analysis allowing for exposure-mediator interactions and causal interpretation: theoretical assumptions and implementation with SAS and SPSS macros. Psychol Methods 2013; 18:137.
66. Datta GD, Colditz GA, Kawachi I, Subramanian S.V., Palmer JR, Rosenberg L. Individual-, neighborhood-, and state-level socioeconomic predictors of cervical carcinoma screening among U.S. black women: a multilevel analysis. Cancer 2006; 106: 664-9.
67. Singh GK, Miller BA, Hankey B.F., Edwards BK. Persistent area socio-economic disparities in U.S. incidence of cervical cancer, mortality, stage, and survival, 1975-2000. Cancer 2004; 101: 1051-7.
68. Hershman DL, Shao T, Kushi L.H., Buono D., Tsai WY, Fehrenbacher L, et al. Early discontinuation and non-adherence to adjuvant hormonal therapy are associated with increased mortality in women with breast cancer. Breast Cancer Res Treat 2011; 126: 529-37.
69. Krieger N, Chen JT, Waterman P.D., Rehkopf DH, Subramanian SV. Painting a truer picture of US socioeconomic and racial/ethnic health inequalities: the public health disparities geocoding project. Am J Public Health 2005; 95: 312-23.