2022
DOI: 10.2196/35795
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Exploring Web-Based Twitter Conversations Surrounding National Healthcare Decisions Day and Advance Care Planning From a Sociocultural Perspective: Computational Mixed Methods Analysis

Abstract: Background Within the cultures and societies of the United States, topics related to death and dying continue to be taboo, and as a result, opportunities for presence and engagement during the end of life, which could lead to a good death, are avoided. Several efforts have been made to help people engage in advance care planning (ACP) conversations, including completing advance care directives so that they may express their goals of care if they become too sick to communicate their wishes. A major … Show more

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Cited by 7 publications
(2 citation statements)
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References 61 publications
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“…These studies traced public discussion on Twitter or Pinterest from 2011 to 2021 on a range of palliative and end-of-life care topics including palliative care, 13 15 45 chronic pain, 52 life-sustaining interventions 53 and advance directives. 59 Frequency surveillance, 15 45 content analysis, 13 45 52 53 59 user demographic feature prediction, 13 53 network analysis 45 and sentiment analysis 15 45 53 were applied in these studies to understand the discussion frequency, popular topics, user’s gender or age, information dissemination network and public sentiment (eg, positive or negative sentiment) towards palliative and end-of-life care social media discussion.…”
Section: Resultsmentioning
confidence: 99%
“…These studies traced public discussion on Twitter or Pinterest from 2011 to 2021 on a range of palliative and end-of-life care topics including palliative care, 13 15 45 chronic pain, 52 life-sustaining interventions 53 and advance directives. 59 Frequency surveillance, 15 45 content analysis, 13 45 52 53 59 user demographic feature prediction, 13 53 network analysis 45 and sentiment analysis 15 45 53 were applied in these studies to understand the discussion frequency, popular topics, user’s gender or age, information dissemination network and public sentiment (eg, positive or negative sentiment) towards palliative and end-of-life care social media discussion.…”
Section: Resultsmentioning
confidence: 99%
“…An alternative technique, the Analysis of Topic Model Networks (ANTMN), applies community-detection algorithms in network analysis to cluster LDA-generated topics [ 63 ]. ANTMN is a fitting tool for revealing framing in web-based and news discourse and has been used in studying public health discourse [ 64 ]. Another alternative is the semantic network–based classification algorithm textnets [ 65 ], which first uses LDA to cluster corpus into topics and then applies community-detection algorithms to categorize topics into network clusters.…”
Section: Introductionmentioning
confidence: 99%