#Deathbedlive: the end-of-life trajectory, reflected in a cancer patient's tweets.
Joanna TaylorClaudia PagliariPublished in: BMC palliative care (2018)
In Kate's words, "the power of patient narrative cannot be underestimated". While this analysis spanned only 6 months, it yielded rich insights. The results reflect theorised end-of-life dimensions and reveal the potential of social media data and digital bio-ethnography to shine a light on terminal patients' lived experiences, coping strategies and support needs, suggesting new opportunities for enhancing personalised palliative care and avenues for further research.
Keyphrases
- social media
- palliative care
- end stage renal disease
- case report
- newly diagnosed
- health information
- ejection fraction
- chronic kidney disease
- peritoneal dialysis
- mental health
- electronic health record
- advanced cancer
- gene expression
- genome wide
- machine learning
- big data
- patient reported outcomes
- climate change
- artificial intelligence
- human health
- lymph node metastasis