Literature DB >> 35699613

Exploring classes of cancer patient navigators and determinants of navigator role retention.

Cristian Garcia-Alcaraz1,2, Scott C Roesch1,2, Elizabeth Calhoun3, Patrick Wightman4, Prashanthinie Mohan5, Tracy A Battaglia6, Rosa Cobian Aguilar2, Patricia A Valverde7, Kristen J Wells1,2.   

Abstract

BACKGROUND: In the current nationwide study, the authors used latent class analysis (LCA) to identify classes of cancer patient navigators (CPNs) and examined whether class membership and 12 indicators were related to navigator role retention.
METHODS: By using data from 460 CPNs in the United States, LCA identified classes (ie, homogenous subgroups) of CPNs with the following indicators: type of CPN (clinical vs nonclinical), education level, area(s) of the cancer care continuum in which the CPN provided patient navigation, region and urbanity where the CPN provided services, organizational work setting, and patient navigation program funding source. The associations of navigator retention with class membership and each indicator were examined using χ2 tests.
RESULTS: LCA identified 3 classes of CPNs. Classes 1 and 3 were conceptualized as distinct, homogeneous subgroups of clinical CPNs that appeared to differ mainly on their likelihood of engagement in outreach, survivorship, palliative care, and end-of-life patient navigation. Class 2 was conceptualized as a nonclinical CPN subgroup that was distinct primarily based on their high endorsement of employment in programs, which are at least partially funded by grants and engagement in earlier stages of patient navigation (eg, early detection). The provision of survivorship and treatment patient navigation was related to navigator role retention, with senior CPNs providing these patient navigation services more than novice CPNs.
CONCLUSIONS: The current study highlights 3 distinct classes of CPNs, provides initial information regarding determinants of navigator retention, and makes several recommendations for future patient navigation research.
© 2022 American Cancer Society.

Entities:  

Keywords:  community health workers; latent class analysis; patient navigation; retention; turnover; workforce

Mesh:

Year:  2022        PMID: 35699613      PMCID: PMC9201988          DOI: 10.1002/cncr.33908

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.921


  20 in total

1.  Cancer patient navigator tasks across the cancer care continuum.

Authors:  Kathryn L Braun; Marjorie Kagawa-Singer; Alan E C Holden; Linda Burhansstipanov; Jacqueline H Tran; Brenda F Seals; Giselle Corbie-Smith; JoAnn U Tsark; Lisa Harjo; Mary Anne Foo; Amelie G Ramirez
Journal:  J Health Care Poor Underserved       Date:  2012-02

2.  How best to measure health workforce turnover and retention: five key metrics.

Authors:  Deborah J Russell; John S Humphreys; John Wakerman
Journal:  Aust Health Rev       Date:  2012-08       Impact factor: 1.990

Review 3.  Causes and consequences of collective turnover: a meta-analytic review.

Authors:  Angela L Heavey; Jacob A Holwerda; John P Hausknecht
Journal:  J Appl Psychol       Date:  2013-05

4.  Exploring the role of lay and professional patient navigators in Canada.

Authors:  Amy E Reid; Shelley Doucet; Alison Luke
Journal:  J Health Serv Res Policy       Date:  2020-03-18

5.  The efficacy and cost-effectiveness of patient navigation programs across the cancer continuum: A systematic review.

Authors:  Brittany M Bernardo; Xiaochen Zhang; Chloe M Beverly Hery; Rachel J Meadows; Electra D Paskett
Journal:  Cancer       Date:  2019-04-29       Impact factor: 6.860

Review 6.  Patient navigation in breast cancer: a systematic review.

Authors:  Stephanie Robinson-White; Brenna Conroy; Kathleen H Slavish; Margaret Rosenzweig
Journal:  Cancer Nurs       Date:  2010 Mar-Apr       Impact factor: 2.592

7.  The early dissemination of patient navigation interventions: results of a respondent-driven sample survey.

Authors:  Patricia A Valverde; Elizabeth Calhoun; Angelina Esparza; Kristen J Wells; Betsy C Risendal
Journal:  Transl Behav Med       Date:  2018-05-23       Impact factor: 3.046

Review 8.  The effectiveness of patient navigation to improve healthcare utilization outcomes: A meta-analysis of randomized controlled trials.

Authors:  Sobia F Ali-Faisal; Tracey J F Colella; Naomi Medina-Jaudes; Lisa Benz Scott
Journal:  Patient Educ Couns       Date:  2016-10-17

9.  Barriers and opportunities to measuring oncology patient navigation impact: Results from the National Navigation Roundtable survey.

Authors:  Tracy A Battaglia; Linda Fleisher; Andrea J Dwyer; Dawn E Wiatrek; Kristen J Wells; Patrick Wightman; Tricia Strusowski; Elizabeth Calhoun
Journal:  Cancer       Date:  2022-07-01       Impact factor: 6.860

Review 10.  Patient navigation: state of the art or is it science?

Authors:  Kristen J Wells; Tracy A Battaglia; Donald J Dudley; Roland Garcia; Amanda Greene; Elizabeth Calhoun; Jeanne S Mandelblatt; Electra D Paskett; Peter C Raich
Journal:  Cancer       Date:  2008-10-15       Impact factor: 6.860

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