Epidemiology of Connectional Silence in specialist serious illness conversations

Gramling, Cailin J.; Durieux, Brigitte N.; Clarfeld, Laurence A.; Javed, Ali; Matt, Jeremy E.; Manukyan, Viktoria; Braddish, Tess; Wong, April S. Y.; Wills, Joseph; Hirsch, Laura; Straton, Jack C.; Cheney, Nicholas; Eppstein, Margaret J.; Rizzo, Donna M.; Gramling, Robert

doi:10.1016/j.pec.2021.10.032

Cited by 10 publications

(7 citation statements)

References 34 publications

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“…Clinical notes and electronic medical records were the most common primary data sources, used in 57 studies (69.5%). 21,23–27,29,30,33–36,40,42–46,48–52,54,55,57–64,66–68,70–73,75,79–93,95 Other primary sources included audio recordings ( n = 6, 7.3%), 6,28,32,38,39,65 administrative data ( n = 5, 6.1%), 37,47,53,77,...…”

Section: Resultsmentioning

confidence: 99%

“…We identified a trend in recent years where natural language processing was frequently used in analyzing clinical serious illness conversations extracted from audio recordings, particularly by the same research group (Gramling et al). 6,28,32,38,39,65 These in-depth analyses included concepts like conversational stories, conversational pauses, shapes of stories, connectional silence, analysis of prosody, turn length, turn-taking, and analyses of the lexicon of uncertainty.…”

Section: Discussionmentioning

confidence: 99%

“…Brizzi et al, 25 Kern et al, 49 Lau et al, 53 Lee et al, 54,55 Lindvall et al, 58 Poort et al, 71 Udelsman et al 84 Conversation analysis/conversational dynamics during serious illness conversations 7 (8.5) van den Broek-Altenburg et al, 6 Clarfeld et al, 28 Durieux et al, 32 Gramling et al, 38,39 Manukyan et al, 65 Ross et al 72 Symptom identification 6 (7.3) DiMartino et al, 30 Forsyth et al, 35 Heintzelman et al, 43 López-Torrecilla et al, 60 Taggart et al, 83 Yang et al 91 Decision-making 4 (4.8) Barrett et al, 24 Ouchi et al, 70 Saeed et al, 73 Almasalha et al 85 Identification of patients likely to benefit from palliative care or palliative needs or palliative status 4 (4.8) Murphree et al, 68 Sandham et al, 75 Song et al, 79 Zhang et al 97 Clinical phenotypes identification 3 (3.6) Ernecoff et al, 34 Jay et al, 45 natural language processing software to complete data analysis. This suggests that each software has its own strengths, and that weaknesses may be overcome by the combined use of more than one software solution to achieve the desired goal of the analyses.…”

Section: Discussionmentioning

confidence: 99%

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The use of natural language processing in palliative care research: A scoping review

et al. 2022

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Background: Natural language processing has been increasingly used in palliative care research over the last 5 years for its versatility and accuracy. Aim: To evaluate and characterize natural language processing use in palliative care research, including the most commonly used natural language processing software and computational methods, data sources, trends in natural language processing use over time, and palliative care topics addressed. Design: A scoping review using the framework by Arksey and O’Malley and the updated recommendations proposed by Levac et al. was conducted. Sources: PubMed, Web of Science, Embase, Scopus, and IEEE Xplore databases were searched for palliative care studies that utilized natural language processing tools. Data on study characteristics and natural language processing instruments used were collected and relevant palliative care topics were identified. Results: 197 relevant references were identified. Of these, 82 were included after full-text review. Studies were published in 48 different journals from 2007 to 2022. The average sample size was 21,541 (median 435). Thirty-two different natural language processing software and 33 machine-learning methods were identified. Nine main sources for data processing and 15 main palliative care topics across the included studies were identified. The most frequent topic was mortality and prognosis prediction. We also identified a trend where natural language processing was frequently used in analyzing clinical serious illness conversations extracted from audio recordings. Conclusions: We found 82 papers on palliative care using natural language processing methods for a wide-range of topics and sources of data that could expand the use of this methodology. We encourage researchers to consider incorporating this cutting-edge research methodology in future studies to improve published palliative care data.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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The use of natural language processing in palliative care research: A scoping review

et al. 2022

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“…Arrivées à la fin de leur réflexion, elles regardent leur interlocuteur et signalent ainsi le souhait qu'il ou elle prenne la suite. La plupart des études suggèrent que les phases de silence de plus de deux secondes sont perçues comme une forme d'interaction particulière avec une signification différente selon le contexte [6].…”

Section: Les Règles Du Non-ditunclassified

Un regard vaut-il mille mots

Langewitz

2022

Bull Med Suisses

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Lorsque les professionnels de la santé suivent les règles de la prise de décision partagée (shared decision making), ce n' est rien d'autre que de la communication. C' est précisément le sujet de cette rubrique -l'aliquid comune, comment les personnes créent quelque chose de commun à l'aide de la communication. Dans ce processus, les interlocuteurs ne doivent pas nécessairement être d'accord, ils peuvent aussi se mettre d'accord sur le fait qu'ils ne le sont pas, le point commun étant alors la certitude que des différences subsistent.

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“…Am Ende schauen sie das Gegenüber an und signalisieren so den Wunsch, der oder die Andere möge übernehmen. Zur Rolle des Schweigens legen die meisten Studien nahe, dass Schweigephasen von mehr als zwei Sekunden Dauer als besondere Interaktionsform wahrgenommen werden, die je nach Kontext unterschiedliche Bedeutung erhält [6].…”

Section: Die Regeln Des Unausgesprochenenunclassified

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Langewitz

2022

Schweiz Ärzteztg

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enn medizinische Fachpersonen die Regeln der gemeinsamen Entscheidungsfindung befolgen (shared decision making), dann ist das nichts anderes als Kommunikation. Genau darum geht es hierum aliquid comune, die Frage, wie Personen mit Hilfe der Kommunikation etwas Gemeinsames herstellen. In diesem Prozess müssen die Beteiligten nicht dazu kommen einer Meinung zu sein, sie können sich auch einig werden, dass sie nicht einer Meinung sind, dann besteht das Gemeinsame in der Gewissheit, dass Differenzen bestehen.

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Epidemiology of Connectional Silence in specialist serious illness conversations

Cited by 10 publications

References 34 publications

The use of natural language processing in palliative care research: A scoping review

The use of natural language processing in palliative care research: A scoping review

Un regard vaut-il mille mots

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