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01-12-2011

Do Navigators’ Estimates of Navigation Intensity Predict Navigation Time for Cancer Care?

Authors: Jennifer Kate Carroll, Paul C. Winters, Jason Q. Purnell, Katie Devine, Kevin Fiscella

Published in: Journal of Cancer Education | Issue 4/2011

Abstract

Patient navigation requires that patient load be equitably distributed. We examined whether navigators could predict the relative amount of time needed by different patients for navigation. Analysis of 139 breast and colorectal cancer patients randomized to the navigation arm of a trial evaluating the effectiveness of navigation. Navigators completed a one-item scale estimating how much navigation time patients were likely to require. Participants were mostly females (89.2%) with breast cancer (83.4%); barriers to cancer care were insurance difficulties (26.6%), social support (18.0%), and transportation (14.4%). Navigator baseline estimates of navigation intensity predicted total navigation time, independent of patient characteristics. The total number of barriers, rather than any specific type of barrier, predicted increased navigator time, with a 16% increase for each barrier. Navigators’ estimate of intensity independently predicts navigation time for cancer patients. Findings have implications for assigning navigator case loads.

Gornick ME, Eggers PW, Riley GF (2004) Associations of race, education, and patterns of preventive service use with stage of cancer at time of diagnosis. Health Serv Res 39:1403–1427PubMedCrossRef

Jean-Pierre P, Hendren S, Fiscella K, Loader S, Rousseau S, Schwartzbauer B et al (2011) Understanding the processes of patient navigation to reduce disparities in cancer care: perspectives of trained navigators from the Field. J Cancer Educ 26:111–120PubMedCrossRef

Griggs JJ, Culakova E, Sorbero ME, Poniewierski MS, Wolff DA, Crawford J et al (2007) Social and racial differences in selection of breast cancer adjuvant chemotherapy regimens. J Clin Oncol 25:2522–2527PubMedCrossRef

Shavers VL, Brown ML (2002) Racial and ethnic disparities in the receipt of cancer treatment. J Natl Cancer Inst 94(5):334–357PubMedCrossRef

Freeman HP, Muth BJ, Kerner JF (1995) Expanding access to cancer screening and clinical follow-up among the medically underserved. Cancer Pract 3:19–30PubMed

Dohan D, Schrag D (2005) Using navigators to improve care of underserved patients: current practices and approaches. Cancer 104:848–855PubMedCrossRef

Battaglia TA, Roloff K, Posner MA, Freund KM (2007) Improving follow-up to abnormal breast cancer screening in an urban population. A patient navigation intervention. Cancer 109:359–367PubMedCrossRef

Freeman HP (2006) Patient navigation: a community centered approach to reducing cancer mortality. J Cancer Educ 21:S11–S14PubMedCrossRef

Robinson-White S, Conroy B, Slavish KH, Rosenzweig M (2010) Patient navigation in breast cancer: a systematic review. Cancer Nurs 33:127–140PubMedCrossRef

10.

Baquet CR, Mack KM, Mishra SI, Bramble J, DeShields M, Datcher D et al (2006) Maryland’s Special Populations Network. A model for cancer disparities research, education, and training. Cancer 107(8 Suppl):2061–2070PubMedCrossRef

11.

Gabram SG, Lund MB, Gardner J, Hatchett N, Bumpers HL, Okoli J et al (2008) Effects of an outreach and internal navigation program on breast cancer diagnosis in an urban cancer center with a large African-American population. Cancer 113:602–607PubMedCrossRef

12.

Fischer SM, Sauaia A, Kutner JS (2009) Patient navigation: a culturally competent strategy to address disparities in cancer care. J Palliat Med 10:1023–1028CrossRef

13.

Parker VA, Clark JA, Leyson J, Calhoun E, Carroll JK, Freund KM et al (2010) Patient navigation: development of a protocol for describing what navigators do. Health Serv Res 45:514–531PubMedCrossRef

14.

Campbell C, Craig J, Eggert J, Bailey-Dorton C (2010) Implementing and measuring the impact of patient navigation at a comprehensive community cancer center. Oncol Nurs Forum 37:61–68PubMedCrossRef

15.

Soothill K, Morris SM, Harman J, Francis B, Thomas C, McIllmurray MB (2001) The significant unmet needs of cancer patients: probing psychosocial concerns. Support Care Cancer 9:597–605PubMedCrossRef

16.

Sanson-Fisher R, Girgis A, Boyes A, Bonevski B, Burton L, Cook P (2000) The unmet supportive care needs of patients with cancer. Supportive care review group. Cancer 88:226–237PubMedCrossRef

17.

Byrne G, Brady AM, Griffith C, Macgregor C, Horan P, Begley C (2006) The community client need classification system—a dependency system for community nurses. J Nurs Manag 14:437–446PubMedCrossRef

18.

Lin CJ, Schwaderer KA, Morgenlander KH, Ricci EM, Hoffman L, Martz E et al (2008) Factors associated with patient navigators’ time spent on reducing barriers to cancer treatment. J Natl Med Assoc 100:1290–1297PubMed

19.

Carroll JK, Humiston SG, Meldrum SC, Salamone CM, Jean-Pierre P, Epstein RM et al (2010) Patients’ experiences with navigation for cancer care. Patient Educ Couns 80:241–247PubMedCrossRef

20.

Hendren S, Griggs JJ, Epstein RM, Humiston S, Rousseau S, Jean-Pierre P et al (2010) Study protocol: a randomized controlled trial of patient navigation-activation to reduce cancer health disparities. BMC Cancer 10:551PubMedCrossRef

21.

UCLA: Academic Technology Services, S. C. G. (2010). Statistical Computing - General FAQs. electronic [On-line]. Available: http://www.ats.ucla.edu/stat/mult_pkg/faq/general/log_transformed_regression.htm

22.

Wujcik D, Fair AM (2008) Barriers to diagnostic resolution after abnormal mammography: a review of the literature. Cancer Nurs 31:E16–E30PubMedCrossRef

23.

Brookfield KF, Cheung MC, Lucci J, Fleming LE, Koniaris LG (2009) Disparities in survival among women with invasive cervical cancer: a problem of access to care. Cancer 115:166–178PubMedCrossRef

24.

Byers TE, Wolf HJ, Bauer KR, Bolick-Aldrich S, Chen VW, Finch JL et al (2008) The impact of socioeconomic status on survival after cancer in the United States: findings from the National program of cancer registries patterns of care study. Cancer 113:582–591PubMedCrossRef

25.

Lannin DR, Mathews HF, Mitchell J, Swanson MS, Swanson FH, Edwards MS (1998) Influence of socioeconomic and cultural factors on racial differences in late-stage presentation of breast cancer. JAMA 279:1801–1807PubMedCrossRef

Title: Do Navigators’ Estimates of Navigation Intensity Predict Navigation Time for Cancer Care?
Authors: Jennifer Kate Carroll
Paul C. Winters
Jason Q. Purnell
Katie Devine
Kevin Fiscella
Publication date: 01-12-2011
Publisher: Springer-Verlag
Published in: Journal of Cancer Education / Issue 4/2011
Print ISSN: 0885-8195
Electronic ISSN: 1543-0154
DOI: https://doi.org/10.1007/s13187-011-0234-y

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