Literature DB >> 28559408

Social Network Structures of Breast Cancer Patients and the Contributing Role of Patient Navigators.

Christine M Gunn1,2, Victoria A Parker2, Sharon M Bak3, Naomi Ko4, Kerrie P Nelson5, Tracy A Battaglia4.   

Abstract

BACKGROUND: Minority women in the U.S. continue to experience inferior breast cancer outcomes compared with white women, in part due to delays in care delivery. Emerging cancer care delivery models like patient navigation focus on social barriers, but evidence demonstrating how these models increase social capital is lacking. This pilot study describes the social networks of newly diagnosed breast cancer patients and explores the contributing role of patient navigators.
MATERIALS AND METHODS: Twenty-five women completed a one hour interview about their social networks related to cancer care support. Network metrics identified important structural attributes and influential individuals. Bivariate associations between network metrics, type of network, and whether the network included a navigator were measured. Secondary analyses explored associations between network structures and clinical outcomes.
RESULTS: We identified three types of networks: kin-based, role and/or affect-based, or heterogeneous. Network metrics did not vary significantly by network type. There was a low prevalence of navigators included in the support networks (25%). Network density scores were significantly higher in those networks without a navigator. Network metrics were not predictive of clinical outcomes in multivariate models.
CONCLUSION: Patient navigators were not frequently included in support networks, but provided distinctive types of support. If navigators can identify patients with poorly integrated (less dense) social networks, or who have unmet tangible support needs, the intensity of navigation services could be tailored. Services and systems that address gaps and variations in patient social networks should be explored for their potential to reduce cancer health disparities. IMPLICATIONS FOR PRACTICE: This study used a new method to identify the breadth and strength of social support following a diagnosis of breast cancer, especially examining the role of patient navigators in providing support. While navigators were only included in one quarter of patient support networks, they did provide essential supports to some individuals. Health care providers and systems need to better understand the contributions of social supports both within and outside of health care to design and tailor interventions that seek to reduce health care disparities and improve cancer outcomes. © AlphaMed Press 2017.

Entities:  

Keywords:  Breast cancer; Cancer health disparities; Patient navigation; Social networks; Social support

Mesh:

Year:  2017        PMID: 28559408      PMCID: PMC5553958          DOI: 10.1634/theoncologist.2016-0440

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  37 in total

1.  Social networks, social support mechanisms, and quality of life after breast cancer diagnosis.

Authors:  Candyce H Kroenke; Marilyn L Kwan; Alfred I Neugut; Isaac J Ergas; Jaime D Wright; Bette J Caan; Dawn Hershman; Lawrence H Kushi
Journal:  Breast Cancer Res Treat       Date:  2013-05-09       Impact factor: 4.872

2.  Impact of Henda's law on the utilization of screening breast magnetic resonance imaging.

Authors:  Callan Mason; Kendall Yokubaitis; Evan Howard; Zeeshan Shah; Jean Wang
Journal:  Proc (Bayl Univ Med Cent)       Date:  2015-01

3.  Racial inequities in the timing of breast cancer detection, diagnosis, and initiation of treatment.

Authors:  Joann G Elmore; Connie Y Nakano; Hannah M Linden; Lisa M Reisch; John Z Ayanian; Eric B Larson
Journal:  Med Care       Date:  2005-02       Impact factor: 2.983

4.  Social networks, social support, and survival after breast cancer diagnosis.

Authors:  Candyce H Kroenke; Laura D Kubzansky; Eva S Schernhammer; Michelle D Holmes; Ichiro Kawachi
Journal:  J Clin Oncol       Date:  2006-03-01       Impact factor: 44.544

5.  The development of a comprehensive needs assessment tool for cancer-caregivers in patient-caregiver dyads.

Authors:  Dong Wook Shin; Jong-Hyock Park; Eun-Jung Shim; Jae-Hyun Park; Jin-Young Choi; Sung Gyeong Kim; Eun-Cheol Park
Journal:  Psychooncology       Date:  2010-10-22       Impact factor: 3.894

6.  Social networks and survival after breast cancer diagnosis.

Authors:  Jeannette M Beasley; Polly A Newcomb; Amy Trentham-Dietz; John M Hampton; Rachel M Ceballos; Linda Titus-Ernstoff; Kathleen M Egan; Michelle D Holmes
Journal:  J Cancer Surviv       Date:  2010-07-23       Impact factor: 4.442

7.  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
Journal:  J Cancer Educ       Date:  2011-12       Impact factor: 2.037

8.  Patients' experiences with navigation for cancer care.

Authors:  Jennifer K Carroll; Sharon G Humiston; Sean C Meldrum; Charcy M Salamone; Pascal Jean-Pierre; Ronald M Epstein; Kevin Fiscella
Journal:  Patient Educ Couns       Date:  2009-12-16

Review 9.  The Save our Sisters Project. A social network strategy for reaching rural black women.

Authors:  E Eng
Journal:  Cancer       Date:  1993-08-01       Impact factor: 6.860

10.  Patient navigation for breast and colorectal cancer treatment: a randomized trial.

Authors:  Kevin Fiscella; Elizabeth Whitley; Samantha Hendren; Peter Raich; Sharon Humiston; Paul Winters; Pascal Jean-Pierre; Patricia Valverde; William Thorland; Ronald Epstein
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-10       Impact factor: 4.254

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  3 in total

1.  A conceptual model of social networks and mechanisms of cancer mortality, and potential strategies to improve survival: an invited commentary.

Authors:  Yamilé Molina
Journal:  Transl Behav Med       Date:  2018-07-17       Impact factor: 3.046

2.  Patterns of stress and support in social support networks of in-home hospice cancer family caregivers.

Authors:  Jia-Wen Guo; Maija Reblin; Djin Tay; Lee Ellington; Anna C Beck; Kristin G Cloyes
Journal:  J Soc Pers Relat       Date:  2021-06-16

3.  Comparing enrolees with non-enrolees of cancer-patient navigation at end of life.

Authors:  G Park; G M Johnston; R Urquhart; G Walsh; M McCallum
Journal:  Curr Oncol       Date:  2018-06-28       Impact factor: 3.677

  3 in total

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