Impact of patient navigation in eliminating economic disparities in cancer care

Cancer

Volumn 121, Issue 22, 2015, Pages 4025-4034

  Rodday, Angie Mae ^a   Parsons, Susan K ^a   Snyder, Frederick ^b   Simon, Melissa A ^c   Llanos, Adana A M ^d,e   Warren Mears, Victoria ^f   Dudley, Donald ^g   Lee, Ji Hyun ^h,i   Patierno, Steven R ^j,k   Markossian, Talar W ^l   Sanders, Mechelle ^m   Whitley, Elizabeth M ⁿ   Freund, Karen M ^a  

^a TUFTS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b NOVA Research Company   (United States)

^c NORTHWESTERN UNIVERSITY   (United States)

^d RUTGERS SCHOOL OF PUBLIC HEALTH   (United States)

^e RUTGERS CANCER INSTITUTE OF NEW JERSEY   (United States)

^f Northwest Tribal Epidemiology Center   (United States)

^g UNIVERSITY OF TEXAS HEALTH SCIENCE CENTER AT SAN ANTONIO   (United States)

^h UNIVERSITY OF NEW MEXICO SCHOOL OF MEDICINE   (United States)

ⁱ UNIVERSITY OF NEW MEXICO   (United States)

^j GEORGE WASHINGTON UNIVERSITY   (United States)

^k DUKE CANCER INSTITUTE   (United States)

^l LOYOLA UNIVERSITY CHICAGO   (United States)

^m UNIVERSITY OF ROCHESTER MEDICAL CENTER   (United States)

ⁿ Air Pollution Control Division   (United States)

more..

Author keywords

breast neoplasms; colonic neoplasms; early detection of cancer; health care disparities; patient navigation; prostatic neoplasms; uterine cervical neoplasms

Indexed keywords

ADULT; AFRICAN AMERICAN; AGE; ARTICLE; CANCER SCREENING; CANCER THERAPY; CAUCASIAN; CONTROLLED STUDY; EDUCATION; EMPLOYMENT; FEMALE; HEALTH CARE DISPARITY; HEALTH ECONOMICS; HISPANIC; HOUSEHOLD; HUMAN; INCOME; MAJOR CLINICAL STUDY; MARRIAGE; PATIENT CARE; PRIORITY JOURNAL; MALE; MIDDLE AGED; NEOPLASMS; PROPORTIONAL HAZARDS MODEL; SOCIAL CLASS;

ADULT; FEMALE; HEALTHCARE DISPARITIES; HUMANS; MALE; MIDDLE AGED; NEOPLASMS; PATIENT NAVIGATION; PROPORTIONAL HAZARDS MODELS; SOCIAL CLASS;

EID: 84946499123     PISSN: 0008543X     EISSN: 10970142     Source Type: Journal    
DOI: 10.1002/cncr.29612     Document Type: Article

References (29)

1. Ward E, Jemal A, Cokkinides V, et al., Cancer disparities by race/ethnicity and socioeconomic status. CA Cancer J Clin. 2004; 54: 78-93.
2. Clegg LX, Reichman ME, Miller BA, 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: 417-435.
3. Thuret R, Sun M, Budaus L, et al., A population-based analysis of the effect of marital status on overall and cancer-specific mortality in patients with squamous cell carcinoma of the penis. Cancer Causes Control. 2013; 24: 71-79.
4. 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: 5110-5116.
5. Tannenbaum SL, Koru-Sengul T, Miao F, Byrne MM,. Disparities in survival after female breast cancer diagnosis: a population-based study. Cancer Causes Control. 2013; 24: 1705-1715.
6. Whitman S, Orsi J, Hurlbert M,. The racial disparity in breast cancer mortality in the 25 largest cities in the United States. Cancer Epidemiol. 2012; 36: e147-e151.
7. Jean-Pierre P, Hendren S, Fiscella K, et al., Understanding the processes of patient navigation to reduce disparities in cancer care: perspectives of trained navigators from the field. J Cancer Educ. 2011; 26: 111-120.
8. Wells KJ, Battaglia TA, Dudley DJ, et al., Patient navigation: state of the art or is it science? Cancer. 2008; 113: 1999-2010.
9. Honeycutt S, Green R, Ballard D, et al., Evaluation of a patient navigation program to promote colorectal cancer screening in rural Georgia, USA. Cancer. 2013; 119: 3059-3066.
10. Phillips CE, Rothstein JD, Beaver K, Sherman BJ, Freund KM, Battaglia TA,. Patient navigation to increase mammography screening among inner city women. J Gen Intern Med. 2011; 26: 123-129.
11. Lee JH, Fulp W, Wells KJ, Meade CD, Calcano E, Roetzheim R,. Patient navigation and time to diagnostic resolution: results for a cluster randomized trial evaluating the efficacy of patient navigation among patients with breast cancer screening abnormalities, Tampa, FL. PLoS One. 2013; 8: e74542.
12. Battaglia TA, Bak SM, Heeren T, 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: 1645-1654.
13. Freund KM, Battaglia TA, Calhoun E, et al., Impact of patient navigation on timely cancer care: the Patient Navigation Research Program. J Natl Cancer Inst. 2014; 106: dju115.
14. Hoffman HJ, LaVerda NL, Young HA, et al., Patient navigation significantly reduces delays in breast cancer diagnosis in the District of Columbia. Cancer Epidemiol Biomarkers Prev. 2012; 21: 1655-1663.
15. Freund KM, Battaglia TA, Calhoun E, et al., National Cancer Institute Patient Navigation Research Program: methods, protocol, and measures. Cancer. 2008; 113: 3391-3399.
16. Longest BB, Young GJ,. Coordination and communication. In:, Shortell SM, Kaluzny AD, eds. Health Care Management: Organization Design and Behavior. Albany, NY: Delmar Publishers; 2000: 237-275.
17. Tejeda S, Darnell JS, Cho YI, Stolley MR, Markossian TW, Calhoun EA,. Patient barriers to follow-up care for breast and cervical cancer abnormalities. J Womens Health (Larchmt). 2013; 22: 507-517.
18. Smith EC, Ziogas A, Anton-Culver H,. Association between insurance and socioeconomic status and risk of advanced stage Hodgkin lymphoma in adolescents and young adults. Cancer. 2012; 118: 6179-6187.
19. Rundle A, Neckerman KM, Sheehan D, et al., A prospective study of socioeconomic status, prostate cancer screening and incidence among men at high risk for prostate cancer. Cancer Causes Control. 2013; 24: 297-303.
20. Quaglia A, Lillini R, Mamo C, Ivaldi E, Vercelli M,. Socio-economic inequalities: a review of methodological issues and the relationships with cancer survival. Crit Rev Oncol Hematol. 2013; 85: 266-277.
21. Hoffman HJ, LaVerda NL, Levine PH, Young HA, Alexander LM, Patierno SR,. Having health insurance does not eliminate race/ethnicity-associated delays in breast cancer diagnosis in the District of Columbia. Cancer. 2011; 117: 3824-3832.
22. Singh GK, Miller BA, Hankey BF, Edwards BK,. Persistent area socioeconomic disparities in US incidence of cervical cancer, mortality, stage, and survival, 1975-2000. Cancer. 2004; 101: 1051-1057.
23. Richards MA, Westcombe AM, Love SB, Littlejohns P, Ramirez AJ,. Influence of delay on survival in patients with breast cancer: a systematic review. Lancet. 1999; 353: 1119-1126.
24. House JS, Kahn RL,. Measures and concepts of social support. In:, Cohen S, Syme SL, eds. Social Support and Health. San Diego, CA: Academic Press; 1985: 83-108.
25. Helgeson VS, Cohen S,. Social support and adjustment to cancer: reconciling descriptive, correlational, and intervention research. Health Psychol. 1996; 15: 135-148.
26. Katz ML, Young GS, Reiter PL, et al., Barriers reported among patients with breast and cervical abnormalities in the patient navigation research program: impact on timely care. Womens Health Issues. 2014; 24: e155-e162.
27. Primeau SW, Freund KM, Ramachandran A, et al., Social service barriers delay care among women with abnormal cancer screening. J Gen Intern Med. 2014; 29: 169-175.
28. American College of Surgeons Commission on Cancer. Cancer Program Standards 2012: Ensuring Patient-Centered Care. http://www.facs.org/cancer/coc/programstandards2012.pdf. Accessed on June 20, 2014.
29. Institute of Medicine. Capturing Social and Behavioral Domains in Electronic Health Records: Phase 1. Washington, DC: National Academies Press; 2014.