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Perceptions of Life Support and Advance Care Planning During the COVID-19 Pandemic: A Global Study of Twitter Users.
Patel, Vishal R; Gereta, Sofia; Blanton, Christopher J; Chu, Alexander L; Patel, Akash P; Mackert, Michael; Zientek, David; Nortjé, Nico; Khurshid, Anjum; Moriates, Christopher; Wallingford, Gregory.
  • Patel VR; Department of Internal Medicine, Dell Medical School, The University of Texas at Austin, Austin, TX. Electronic address: vishpatel97@utexas.edu.
  • Gereta S; Department of Internal Medicine, Dell Medical School, The University of Texas at Austin, Austin, TX.
  • Blanton CJ; Department of Internal Medicine, Dell Medical School, The University of Texas at Austin, Austin, TX.
  • Chu AL; Department of Internal Medicine, Dell Medical School, The University of Texas at Austin, Austin, TX.
  • Patel AP; Department of Internal Medicine, Dell Medical School, The University of Texas at Austin, Austin, TX.
  • Mackert M; Center for Health Communication, Moody College of Communication, The University of Texas at Austin, Austin, TX.
  • Zientek D; Department of Internal Medicine, Dell Medical School, The University of Texas at Austin, Austin, TX.
  • Nortjé N; Department of Critical Care Medicine, Division of Anesthesiology and Critical Care, The University of Texas MD Anderson Cancer Center, Houston, TX.
  • Khurshid A; Department of Population Health, Dell Medical School, The University of Texas at Austin, Austin, TX.
  • Moriates C; Department of Internal Medicine, Dell Medical School, The University of Texas at Austin, Austin, TX.
  • Wallingford G; Department of Internal Medicine, Section of Palliative Care, Dell Medical School, The University of Texas at Austin, Austin, TX.
Chest ; 161(6): 1609-1619, 2022 06.
Article in English | MEDLINE | ID: covidwho-1636366
ABSTRACT

BACKGROUND:

The COVID-19 pandemic has presented new challenges surrounding end-of-life planning and has been associated with increased online discussion about life support. RESEARCH QUESTION How has online communication about advance care planning (ACP) and specific life-sustaining interventions (LSIs) changed during the pandemic? STUDY DESIGN AND

METHODS:

Conversations on Twitter containing references to LSIs (eg, "ECMO") or ACP (eg, "DNR/DNI") were collected between January 2019 and May 2021. User account metadata were used to predict user demographic information and to classify users as organizations, individuals, clinicians, or influencers. The number of impressions was compared across these user categories and the content of tweets analyzed by using natural language processing models to identify topics of discussion and associated emotional sentiment.

RESULTS:

There were 202,585 unique tweets about LSIs and 67,162 unique tweets about ACP. Users who were younger, male, or influencers were more likely to discuss LSIs online. Tweets about LSIs were associated with more positive emotional sentiment scores than tweets about ACP (LSIs, 0.3; ACP, -0.2; P < .001). Among tweets about ACP, most contained personal experiences related to the death of loved ones (27%) or discussed discrimination through do-not-resuscitate orders directed at the elderly and disabled (19%). Personal experiences had the greatest retweet-to-tweet-ratio (4.7), indicating high levels of user engagement. Tweets about discrimination contained the most negative net sentiment score (-0.5).

INTERPRETATION:

The observed increase in tweets regarding LSIs and ACP suggests that Twitter was consistently used to discuss treatment modalities and preferences related to intensive care during the pandemic. Future interventions to increase online engagement with ACP may consider leveraging influencers and personal stories. Finally, we identified do-not-resuscitate-related discrimination as a commonly held public fear, which should be further explored as a barrier to ACP completion and can be proactively addressed by clinicians during bedside goals-of-care discussions.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Advance Care Planning / Social Media / COVID-19 Type of study: Observational study / Prognostic study / Qualitative research Limits: Aged / Humans / Male Language: English Journal: Chest Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Advance Care Planning / Social Media / COVID-19 Type of study: Observational study / Prognostic study / Qualitative research Limits: Aged / Humans / Male Language: English Journal: Chest Year: 2022 Document Type: Article