ArticleThe oncologist2017
Social Network Structures of Breast Cancer Patients and the Contributing Role of Patient Navigators.
Article in The oncologist, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Referral delays in metastatic breast cancer care: barriers and facilitators across a fragmented pathway.BMJ open quality · 2026Article
- Experiences of caring for women with cervical cancer: A qualitative study among male partners in Dar es Salaam, Tanzania.Health expectations : an international journal of public participation in health care and health policy · 2024Article
- Patterns of stress and support in social support networks of in-home hospice cancer family caregivers.Journal of social and personal relationships · 2021Article
- Exploring the social stressors and resources of husbands of women diagnosed with advanced breast cancer in their role as primary caregivers in Kumasi, Ghana.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021Article
- A conceptual model of social networks and mechanisms of cancer mortality, and potential strategies to improve survival: an invited commentary.Translational behavioral medicine · 2018Article
- Comparing enrolees with non-enrolees of cancer-patient navigation at end of life.Current oncology (Toronto, Ont.) · 2018Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMinority 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
methodsTwenty-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.
resultsWe 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.
conclusionPatient 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.
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