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Evolution of a longitudinal, multidisciplinary, and scalable patient navigation matrix model.

Publication ,  Journal Article
Corbett, CM; Somers, TJ; Nuñez, CM; Majestic, CM; Shelby, RA; Worthy, VC; Barrett, NJ; Patierno, SR
Published in: Cancer Med
May 2020

This Longitudinal patient navigation Matrix Model was developed to overcome barriers across the cancer care continuum by offering prepatients, patients, and their families with support services. The extraordinary heterogeneity of patient needs during cancer screening, risk assessment, treatment, and survivorship as well as the vast heterogeneity of oncology care settings make it nearly impossible to follow a static navigation model. Our model of patient cancer navigation is unique as it enhances the traditional model by being highly adaptable based on both patient and family needs and scalable based on institutional needs and resources (eg, clinical volumes, financial resources, and community-based resources). This relatively new operational model for system-wide and systematic navigation incorporates a carefully cultivated supportive care program that evolved over the last decade from a bottom up approach that identified patient and family needs and developed appropriate resources. A core component of this model includes shifting away from department-centric operations. This model does not require a patient to opt in or independently be able to report their needs or ask for services-it is an opt out model. The multidisciplinary "cross-training" model can also facilitate reimbursement and sustainability by clarifying the differentiating actions that define navigation services: identification of barriers to quality care and specific actions taken to overcome those barriers, across the full continue of cancer care from community engagement to survivorship or end-of-life care.

Duke Scholars

Published In

Cancer Med

DOI

EISSN

2045-7634

Publication Date

May 2020

Volume

9

Issue

9

Start / End Page

3202 / 3210

Location

United States

Related Subject Headings

  • Quality of Health Care
  • Patient Navigation
  • Neoplasms
  • Models, Statistical
  • Interdisciplinary Communication
  • Humans
  • Continuity of Patient Care
  • 3211 Oncology and carcinogenesis
  • 1112 Oncology and Carcinogenesis
  • 0601 Biochemistry and Cell Biology
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Corbett, C. M., Somers, T. J., Nuñez, C. M., Majestic, C. M., Shelby, R. A., Worthy, V. C., … Patierno, S. R. (2020). Evolution of a longitudinal, multidisciplinary, and scalable patient navigation matrix model. Cancer Med, 9(9), 3202–3210. https://doi.org/10.1002/cam4.2950
Corbett, Cheyenne M., Tamara J. Somers, Christine M. Nuñez, Catherine M. Majestic, Rebecca A. Shelby, Valarie C. Worthy, Nadine J. Barrett, and Steven R. Patierno. “Evolution of a longitudinal, multidisciplinary, and scalable patient navigation matrix model.Cancer Med 9, no. 9 (May 2020): 3202–10. https://doi.org/10.1002/cam4.2950.
Corbett CM, Somers TJ, Nuñez CM, Majestic CM, Shelby RA, Worthy VC, et al. Evolution of a longitudinal, multidisciplinary, and scalable patient navigation matrix model. Cancer Med. 2020 May;9(9):3202–10.
Corbett, Cheyenne M., et al. “Evolution of a longitudinal, multidisciplinary, and scalable patient navigation matrix model.Cancer Med, vol. 9, no. 9, May 2020, pp. 3202–10. Pubmed, doi:10.1002/cam4.2950.
Corbett CM, Somers TJ, Nuñez CM, Majestic CM, Shelby RA, Worthy VC, Barrett NJ, Patierno SR. Evolution of a longitudinal, multidisciplinary, and scalable patient navigation matrix model. Cancer Med. 2020 May;9(9):3202–3210.
Journal cover image

Published In

Cancer Med

DOI

EISSN

2045-7634

Publication Date

May 2020

Volume

9

Issue

9

Start / End Page

3202 / 3210

Location

United States

Related Subject Headings

  • Quality of Health Care
  • Patient Navigation
  • Neoplasms
  • Models, Statistical
  • Interdisciplinary Communication
  • Humans
  • Continuity of Patient Care
  • 3211 Oncology and carcinogenesis
  • 1112 Oncology and Carcinogenesis
  • 0601 Biochemistry and Cell Biology