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The role of social networks in prognostic understanding of older adults with advanced cancer.
Yu, Veronica; Yilmaz, Sule; Freitag, Jorie; Loh, Kah Poh; Kehoe, Lee; Digiovanni, Grace; Bauer, Jessica; Sanapala, Chandrika; Epstein, Ronald M; Yousefi-Nooraie, Reza; Mohile, Supriya.
Afiliação
  • Yu V; University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
  • Yilmaz S; Department of Surgery, Division of Supportive Care in Cancer, University of Rochester Medical Center, Rochester, NY, USA. Electronic address: sule_yilmaz@urmc.rochester.edu.
  • Freitag J; University of Washington School of Medicine, Seattle, Washington, USA.
  • Loh KP; Division of Hematology/Oncology, Department of Medicine, James P Wilmot Cancer Institute, University of Rochester Medical Center School of Medicine and Dentistry, Rochester, NY, USA.
  • Kehoe L; Department of Surgery, Division of Supportive Care in Cancer, University of Rochester Medical Center, Rochester, NY, USA.
  • Digiovanni G; University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
  • Bauer J; University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
  • Sanapala C; University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
  • Epstein RM; Department of Family Medicine Research, University of Rochester Medical Center School of Medicine and Dentistry, Rochester, NY, USA.
  • Yousefi-Nooraie R; Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.
  • Mohile S; Geriatric Oncology Research, James P Wilmot Cancer Institute, University of Rochester Medical Center School of Medicine and Dentistry, Rochester, NY, USA.
Patient Educ Couns ; 106: 135-141, 2023 01.
Article em En | MEDLINE | ID: mdl-36270857
ABSTRACT

OBJECTIVES:

Explore how older patients utilize their social networks to inform prognostic understanding.

METHODS:

In a pilot study of adults (≥65 years old) with advanced cancer, 16 patients completed surveys, social network maps, and semi-structured interviews exploring with whom they preferred to communicate about their illness. Interviews were analyzed using open-coding, and codes were categorized into emergent themes. Social network maps and themes were analyzed via mixed-methods social network analysis (MMSNA). Three case examples with diverse network characteristics and communication patterns were selected for further analysis.

RESULTS:

Three overarching themes (i.e., prognostic understanding, social support, and therapeutic alliance) revealed that patients' prognostic understanding was strongly influenced by the quality of the social support patients perceived from members of their social networks. Patients demonstrated prognostic understanding when they reported close relationships and open communication with their network members. Case examples revealed some ways that patients sought information and had better sense of their prognosis when they had supportive social networks.

CONCLUSION:

Findings illustrate how understanding social networks may provide information on how older adults with cancer seek, share, and process prognostic information.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Rede Social / Neoplasias Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Aged / Humans Idioma: En Revista: Patient Educ Couns Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Rede Social / Neoplasias Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Aged / Humans Idioma: En Revista: Patient Educ Couns Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos