32 research outputs found

    Does training increase the use of more emotionally laden words by nurses when talking with cancer patients? A randomised study

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    The emotional content of health care professionals–cancer patient communication is often considered as poor and has to be improved by an enhancement of health care professionals empathy. One hundred and fifteen oncology nurses participating in a communication skills training workshop were assessed at three different periods. Nurses randomly allocated to a control group arm (waiting list) were assessed a first time and then 3 and 6 months later. Nurses allocated to the training group were assessed before training workshop, just after and 3 months later. Each nurse completed a 20-min clinical and simulated interview. Each interview was analysed by three content analysis systems: two computer-supported content analysis of emotional words, the Harvard Third Psychosocial Dictionary and the Martindale Regressive Imagery Dictionary and an observer rating system of utterances emotional depth level, the Cancer Research Campaign Workshop Evaluation Manual. The results show that in clinical interviews there is an increased use of emotional words by health care professionals right after having been trained (P=0.056): training group subjects use 4.3 (std: 3.7) emotional words per 1000 used before training workshop, and 7.0 (std: 5.8) right after training workshop and 5.9 (std: 4.3) 3 months later compared to control group subjects which use 4.5 (std: 4.8) emotional words at the first assessment point, 4.3 (std: 4.1) at the second and 4.4 (std: 3.3) at the third. The same trend is noticeable for emotional words used by health care professionals in simulated interviews (P=0.000). The emotional words registry used by health care professionals however remains stable over time in clinical interviews (P=0.141) and is enlarged in simulated interviews (P=0.041). This increased use of emotional words by trained health care professionals facilitates cancer patient emotion words expressions compared to untrained health care professionals especially 3 months after training (P=0.005). This study shows that health care professionals empathy may be improved by communication skills training workshop and that this improvement facilitates cancer patients emotions expression

    Textual fingerprints of risk of war

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    We compute the rate of textual signals of risk of war recognizable in series of consecutive political speeches about a disputed issue serious enough to entail an international conflict. The speeches concern Iran's nuclear program. We trace textual signals forewarning of risks of war that reactions to this affair lead to. The thrust of the textual analysis rests on the interplay of affiliation and power words in continuous texts, following D. C. McClelland's model for anticipating wars. The speeches are those of Iranian President Mahmoud Ahmadinejad, US Secretary of State Hillary R. Clinton, Iranian Grand Ayatollah Ali Khamenei, and Israeli Prime Minister Benjamin Netanyahu. Prefiguring a military confrontation before it occurs involves structuring information from unstructured data. Despite such imperfect knowledge, by the end of January 2012, our results show a receding risk of war on the Iranian side, but an increasing risk on the American one, while remaining ambiguous on the Israeli one. © The Author 2013. Published by Oxford University Press on behalf of ALLC. All rights reserved

    Fear in the West: a sentiment analysis using a computer-readable “Fear Index”

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    We tune in on fear to make it visible and detect its drifts. We collect verbal signals of coming fear burrowed in the crackles of political and other speeches by leading figures: Familiar words people use to express fear. From the EmoLex database (Mohammad and Turney in Comput Intel 29(3):436–465, 2013), we develop a computer-readable “Fear Index” to chase fear in the West. We aim a view from above to see how fear has changed, or hasn’t. We first look how valid is the “Fear Index” on texts (fearful novels and historical documents) expected to display specific profiles of fear. Then trace the trend fear follows in speeches of European leaders. The “Fear Index” decreases in the speeches and documents of European political and economic spheres (President Donald Tusk—European Council—, President Mario Draghi—European Central Bank—, and the Global Trade Alert agency). The “Fear Index” spirals upwards among humanitarian leaders (Pope Francis, the Archbishop Justin Welby, and the International Committee of the Red Cross). We record no significant change in the trend of the “Fear Index” in the speeches of President Vladimir Putin. Humanitarian and political leaders changing in counterpoint prompt questions about empathy, or lack of that, in a now bipolar West
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