Evidence map›Paper›PMID 36324774›Full record

ArticleFrontiers in psychology2022

Neuroscience on breaking bad news: Effects of physicians' response on patient emotion and trust.

Yan Song, Yifan Xiu, Wei Li, Fang Wang

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Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

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3citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yan SongSchool of Business and Management, Shanghai International Studies University, Shanghai, China.
Yifan XiuSchool of Business and Management, Shanghai International Studies University, Shanghai, China.
Wei LiOncology Department, Jinzhou Central Hospital, Jinzhou Medical University, Jin Zhou, China.
Fang WangSchool of Business and Management, Shanghai International Studies University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The outbreak of COVID-19, due to restrictions on patients' access to hospitals, makes patient mental health a severe problem to solve, especially for cancer patients. Delivering bad news has become one of the abilities that physicians need to improve. Former research has proposed communication strategies like SPIKES to respond to patients' emotions. However, existing strategies lack systematic and structural responses to different cues and concerns of patients. Objective: This study aims to investigate whether and how the response styles of information delivery, empathy, and authority affect patient emotions and trust in order to present a structural response system. Furthermore, we explore the correlation between strategies and EEG markers to moderate emotions and trust. Methods: This research selects different scenarios and strategies in the context of breast cancer and performs two experiments. First, we performed a behavioral experiment with 93 medical students and 15 breast cancer patients. Moreover, an EEG experiment with 53 students Results: For the first time, this study proposes the strategy matrix. The response strategies NPIm and NRIa play important roles in this system. In behavioral experiments, information delivery, empathy, and authority strategy significantly affect emotions and trust. The scenario is significant as a moderator. In the EEG experiment, strategy NPIm has more correlation with parietal alpha power than other strategies, and parietal alpha power has a significant effect on emotions, which verifies that empathy-related cerebral activities affect emotions and trust. Conclusion: According to the strategy matrix, physicians could apply strategy ERIa in most scenarios, and strategy NRIa in many scenarios, which means information provision is significant when it comes to responding to patients' cues and concerns. The most important strategy that physicians need to avoid is the authority strategy. Refusing to respond to patients' cues and concerns may cause their dislike. Moreover, through the EEG experiment, we verify that empathy affects emotions and trust from a neuroscience perspective and propose parietal alpha and frontal alpha as neuro-markers to moderate emotions and trust. Physicians could adjust strategies through these EEG markers.

Indexed as

breaking bad newscommunication strategyEEG experimentpatient emotionphysician’s responsetime-frequency analysisvideo-mediated

Identifiers

PMID36324774
PMCPMC9618963

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.