Voice Analysis of Cancer Experiences Among Patients With Breast Cancer: VOICE-BC
| Autor: | Randall Winnette, Patricia A Spears, Kiersten Berg, Ernest H. Law, Maria J Auil |
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| Rok vydání: | 2021 |
| Předmět: |
Medicine (General)
medicine.medical_specialty Health (social science) Leadership and Management Health Policy Cancer Disease medicine.disease patient perspectives/narratives Voice analysis R5-920 Breast cancer Betweenness centrality Family medicine Patient experience Similarity (psychology) medicine cancer clinician-patient relationship Network clustering patient expectations Psychology Research Article |
| Zdroj: | Journal of Patient Experience Journal of Patient Experience, Vol 8 (2021) |
| ISSN: | 2374-3743 2374-3735 |
| Popis: | Patient experience literature in early-stage breast cancer (eBC) is limited. This study used a mixed-methods approach to examine patient conversations from public online forums to identify and evaluate eBC-related themes. Among 60,000 eBC-related posts published September 2014–2019, text from a random subset of 15,000 posts was extracted and grouped into linguistically similar, mutually exclusive clusters using an advanced natural language processing (NLP) algorithm. Clusters were characterized using four quantitative metrics: betweenness centrality (linguistic similarity to other areas of the cluster network), sentiment (general attitude toward a topic), recency (average date of posts), and volume (total number of posts). This analysis represented 3906 unique users (67% and 33% obtained from cancer–specific and general health/nonhealth forums, respectively). Of the 27 clusters identified, most important were “discussing recurrence & progression,” “understanding diagnosis & prognosis,” and “understanding cancer, biomarkers, and treatments.” Several major themes related to recurrence risk, diagnosis, monitoring, and treatment were identified. Additional emphasis on communicating the disease recurrence risk and shared decision-making could strengthen patient-clinician partnerships. |
| Databáze: | OpenAIRE |
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