The Encounter of Two Worlds: Divided Narratives of Decision-Making on Cancer Treatment Between Physicians and Patients.

INTRODUCTION: Divided narratives pose long-standing difficulties in physician and patient communication. In decision-making on cancer treatment, divided narratives between physicians and patients hinder mutual understanding and agreement over the illness and its treatment. For effective decision-making on treatments, it is necessary to investigate the similarities and differences in these divided narratives. METHODS: This study adopted a qualitative research design of narrative inquiry to examine the data, which included interviews with 32 cancer patients and 16 paired physicians in two hospitals in China. Data analysis was conducted using grounded theory to generate findings. RESULTS: Both physicians and patients were concerned about goals and obstacles to their decision-making on cancer treatment. Four common aspects of goal setting were identified from the divided narratives: decision pools, treatment goals, identity practice and preferred identity. Four common obstacles were identified: pains and trust, communication gap, financial issues and complex family. However, the meanings attached to these eight aspects differed between physicians and patients. CONCLUSION: Cancer treatment decision-making is an encounter of the scientific world and lifeworld. A divided narrative approach can identify the similarities and differences in the decision-making on cancer treatment between physicians and patients. Physicians generally adopt a rational decision-making approach, whereas patients generally adopt a relational decision-making approach. Despite the common concerns in their goals and obstacles, physicians and patients differed in their contextualized interpretations, which demonstrates the physicians' and the patients' pursuit of preferred identities in decision-making. The results of this study provide a new perspective to treatment decision-making, emphasizing the importance of narrative integration in reaching mutual agreement. PATIENT AND PUBLIC CONTRIBUTION: The findings were shared with 15 cancer patients and caregivers for feedback and advice in June 2024. This study was also presented at the international conferences of COMET (International and Interdisciplinary Conference on Communication, Medicine, and Ethics) and ICCH (International Conference on Communication in Healthcare) 2023 for continuous feedback and comments.

Who Should Talk to Patients and How About Whether They Have Access to Sufficient, Quality Sleep?

Primary care clinicians are well-equipped to screen for sleep concerns, help some patients, and refer patients whose sleep troubles are more complex to specialists. Poor sleep affects nearly every organ system and influences many morbidity and mortality causes, so screening for sleep sufficiency and quality should be prioritized in primary care settings. This commentary on a case suggests strategies for more fully supporting primary care clinicians' compensation and capacity for conducting effective conversations with patients experiencing sleep trouble.

Views of research ethics committee members on end-of-participation communications for trial participants who stop taking part: a cross-sectional survey study.

BACKGROUND: Giving information to trial participants who stop taking part could support them through what can be a difficult process. We previously developed guidance around the ethical acceptability of such information provision, and about how trialists can develop suitable communication materials. There is limited evidence about what research ethics committees think of this issue, and limited guidance about what level of oversight they should have over the proposed communications, or post-consent participant communications generally. We conducted a survey of UK ethics committee members to address these points. METHODS: The survey was co-developed by public contributors and trialists who had previously worked together on the communications guidance. We asked respondents if they agreed with the general idea of informing participants who stop taking part, if they had ever been requested to review similar communications, and what level of ethics committee review they might recommend. The survey was primarily conducted online. It was reviewed by three ethics committee members before finalisation and shared directly with all UK ethics committee members. We analysed quantitative questions descriptively and used inductive analysis for open questions to identify common themes. RESULTS: Ninety-one ethics committee members participated (nearly 10% of all UK members). The sample was similar to reported data about all members in terms of several personal characteristics. Most respondents (83%) agreed with our project's rationale. Only 23% of respondents reported having been asked to review an end-of-participation information sheet before. Respondents gave various answers about the level of ethics committee review required, but most supported a relatively proportionate review process. Common concerns were about the risk of coercion or making participants feel pressured. CONCLUSIONS: Our survey suggests that ethics committee members generally support providing information to trial participants who stop taking part, if risks to participants are mitigated. We believe our guidance already addresses the main concerns raised. Our respondents' lack of prior experience with end-of-participation information sheets suggests that participants are not getting information they want or need when they stop participating. Our results help clarify how ethics committee should oversee post-consent participant communications, but further guidance from research regulators could be helpful.

The Transformative Care Continuum: implementing an accelerated pathway that addresses the new roles of the family medicine physician.

BACKGROUND: The Transformative Care Continuum (TCC) emerged in 2018 at Ohio University's Heritage College of Osteopathic Medicine, combining a three-year medical education track with a three-year family medicine residency. TCC aligns evolving family physician roles through the Kern model, AMA's Master Adaptive Learner model, Health Systems Science Training, and Kirkpatrick's evaluation model. METHODS: The TCC curriculum emphasizes intensive coaching, clinical encounter video evaluation, reflection, and case-log review. It fosters longitudinal clinical integration, community engagement, and a dynamic learning atmosphere. Students receive rigorous patient-centered communication training and engage in residency-based quality improvement projects, targeting care gap closure and community health in an accelerated 3-year program. OUTCOMES: Assessment of TCC graduates demonstrates advanced team communication, leadership, and project management skills, with entrustable professional activities (EPA) scores meeting or surpassing those of traditional program graduates. Projects led by students have yielded notable clinical enhancements, national recognition, and significant philanthropic funding for non-medical determinants of health. Finally, there is an overall increase in scholarly activity and leadership roles within the residency programs that have engaged these students. DISCUSSION: Lessons reveal intrinsic challenges and heightened academic demands for students and residency programs. Additional educational support for students may be necessary, though costly. Limitations in residency slots and faculty availability as student educators potentially hinder scalability. Ongoing faculty training, cultural support, and early integration of digital systems for curriculum management and evaluation are vital for success. Obtaining patient satisfaction, health outcomes, and program measures remains challenging due to privacy concerns and approval processes between institutions. CONCLUSION: Programs like TCC effectively prepare students for family physician leadership and change management roles through tailored learning, longitudinal experiences, health systems training, and addressing critiques of traditional medical education. Continuous feedback and robust communication strategies are essential for program improvement, fostering well-prepared family physicians committed to health system enhancement.

Co-designing and pilot testing a digital game to improve vaccine attitudes and misinformation resistance in Ghana.

Misinformation related to vaccines has been shown to potentially negatively impact public perceptions and intentions to vaccinate in many contexts including COVID-19 vaccination in Ghana. Psychological inoculation - where recipients are warned about the misleading techniques used in misinformation - is a potential intervention which could preemptively boost public resistance against misinformation. Cranky Uncle Vaccine is an interactive, digital game that applies inoculation, offering a scalable tool building public resilience against vaccine misinformation and promoting positive health-related behaviors. In this study, we document the process of developing and testing a West African version of Cranky Uncle Vaccine, with co-design workshops and a pilot test conducted in urban and peri-urban areas of the Greater Accra region of Ghana with 829 young people who had access to mobile and computer devices. The average age was 21.8 and participants were highly educated (median education level "Some/all university") with slightly more females (51.2%) than males (48.4%). Pilot participants filled out surveys before and after playing the game, measuring vaccine attitudes (pre-game M = 3.4, post-game M = 3.6), intent to get vaccinated (pre-game M = 3.5, post-game M = 3.6), and discernment between vaccine facts and fallacies (pre-game AUC = 0.72, post-game AUC = 0.75). We observed a significant improvement in attitudes toward vaccines, with players demonstrating increased likelihood to get vaccinated after completing the game. Among players who indicated that they were unlikely to get vaccinated in the pre-game survey (N = 52, or 6.3% of participants), just over half of these participants (53%) switched to likely to get vaccinated after playing the game. Perceived reliability of vaccine facts remained the same, while perceived reliability of vaccine fallacies significantly decreased, indicating improved ability to spot misleading arguments about vaccines. These results demonstrate the effectiveness of a digital game in building public resilience against vaccine misinformation as well as improving vaccine attitudes and intent to get vaccinated.

Prospectively investigating the impact of AI onshared decision-making in post kidney transplant care (PRIMA-AI): protocol for a longitudinal qualitative study among patients, their support persons and treating physicians at a tertiary care centre.

INTRODUCTION: As healthcare is shifting from a paternalistic to a patient-centred approach, medical decision making becomes more collaborative involving patients, their support persons (SPs) and physicians. Implementing shared decision-making (SDM) into clinical practice can be challenging and becomes even more complex with the introduction of artificial intelligence (AI) as a potential actant in the communicative network. Although there is more empirical research on patients' and physicians' perceptions of AI, little is known about the impact of AI on SDM. This study will help to fill this gap. To the best of our knowledge, this is the first systematic empirical investigation to prospectively assess the views of patients, their SPs and physicians on how AI affects SDM in physician-patient communication after kidney transplantation. Using a transdisciplinary approach, this study will explore the role and impact of an AI-decision support system (DSS) designed to assist with medical decision making in the clinical encounter. METHODS AND ANALYSIS: This is a plan to roll out a 2 year, longitudinal qualitative interview study in a German kidney transplant centre. Semi-structured interviews with patients, SPs and physicians will be conducted at baseline and in 3-, 6-, 12- and 24-month follow-up. A total of 50 patient-SP dyads and their treating physicians will be recruited at baseline. Assuming a dropout rate of 20% per year, it is anticipated that 30 patient-SP dyads will be included in the last follow-up with the aim of achieving data saturation. Interviews will be audio-recorded and transcribed verbatim. Transcripts will be analysed using framework analysis. Participants will be asked to report on their (a) communication experiences and preferences, (b) views on the influence of the AI-based DSS on the normative foundations of the use of AI in medical decision-making, focusing on agency along with trustworthiness, transparency and responsibility and (c) perceptions of the use of the AI-based DSS, as well as barriers and facilitators to its implementation into routine care. ETHICS AND DISSEMINATION: Approval has been granted by the local ethics committee of Charité-Universitätsmedizin Berlin (EA1/177/23 on 08 August 2023). This research will be conducted in accordance with the principles of the Declaration of Helsinki (1996). The study findings will be used to develop communication guidance for physicians on how to introduce and sustainably implement AI-assisted SDM. The study results will also be used to develop lay language patient information on AI-assisted SDM. A broad dissemination strategy will help communicate the results of this research to a variety of target groups, including scientific and non-scientific audiences, to allow for a more informed discourse among different actors from policy, science and society on the role and impact of AI in physician-patient communication.

Temporal asymmetries in inferring unobserved past and future events.

Unlike temporally symmetric inferences about simple sequences, inferences about our own lives are asymmetric: we are better able to infer the past than the future, since we remember our past but not our future. Here we explore whether there are asymmetries in inferences about the unobserved pasts and futures of other people's lives. In two experiments (analyses of the replication experiment were pre-registered), our participants view segments of two character-driven television dramas and write out what they think happens just before or after each just-watched segment. Participants are better at inferring unseen past (versus future) events. This asymmetry is driven by participants' reliance on characters' conversational references in the narrative, which tend to favor the past. This tendency is also replicated in a large-scale analysis of conversational references in natural conversations. Our work reveals a temporal asymmetry in how observations of other people's behaviors can inform inferences about the past and future.

Understanding healthcare professionals' responses to patient complaints in secondary and tertiary care in the UK: A systematic review and behavioural analysis using the Theoretical Domains Framework.

BACKGROUND: The path of a complaint and patient satisfaction with complaint resolution is often dependent on the responses of healthcare professionals (HCPs). It is therefore important to understand the influences shaping HCP behaviour. This systematic review aimed to (1) identify the key actors, behaviours and factors influencing HCPs' responses to complaints, and (2) apply behavioural science frameworks to classify these influences and provide recommendations for more effective complaints handling behaviours. METHODS: A systematic literature review of UK published and unpublished (so-called grey literature) studies was conducted (PROSPERO registration: CRD42022301980). Five electronic databases [Scopus, MEDLINE/Ovid, Embase, Cumulated Index to Nursing and Allied Health Literature (CINAHL) and Health Management Information Consortium (HMIC)] were searched up to September 2021. Eligibility criteria included studies reporting primary data, conducted in secondary and tertiary care, written in English and published between 2001 and 2021 (studies from primary care, mental health, forensic, paediatric or dental care services were excluded). Extracted data included study characteristics, participant quotations from qualitative studies, results from questionnaire and survey studies, case studies reported in commentaries and descriptions, and summaries of results from reports. Data were synthesized narratively using inductive thematic analysis, followed by deductive mapping to the Theoretical Domains Framework (TDF). RESULTS: In all, 22 articles and three reports met the inclusion criteria. A total of 8 actors, 22 behaviours and 24 influences on behaviour were found. Key factors influencing effective handling of complaints included HCPs' knowledge of procedures, communication skills and training, available time and resources, inherent contradictions within the role, role authority, HCPs' beliefs about their ability to handle complaints, beliefs about the value of complaints, managerial and peer support and organizational culture and emotions. Themes mapped onto nine TDF domains: knowledge, skills, environmental context and resources, social/professional role and identity, social influences, beliefs about capability, intentions and beliefs about consequences and emotions. Recommendations were generated using the Behaviour Change Wheel approach. CONCLUSIONS: Through the application of behavioural science, we identified a wide range of individual, social/organizational and environmental influences on complaints handling. Our behavioural analysis informed recommendations for future intervention strategies, with particular emphasis on reframing and building on the positive aspects of complaints as an underutilized source of feedback at an individual and organizational level.

Kin Cognition and Communication: What Talking, Gesturing, and Drawing About Family Can Tell us About the Way We Think About This Core Social Structure.

When people talk about kinship systems, they often use co-speech gestures and other representations to elaborate. This paper investigates such polysemiotic (spoken, gestured, and drawn) descriptions of kinship relations, to see if they display recurring patterns of conventionalization that capture specific social structures. We present an exploratory hypothesis-generating study of descriptions produced by a lesser-known ethnolinguistic community to the cognitive sciences: the Paamese people of Vanuatu. Forty Paamese speakers were asked to talk about their family in semi-guided kinship interviews. Analyses of the speech, gesture, and drawings produced during these interviews revealed that lineality (i.e., mother's side vs. father's side) is lateralized in the speaker's gesture space. In other words, kinship members of the speaker's matriline are placed on the left side of the speaker's body and those of the patriline are placed on their right side, when they are mentioned in speech. Moreover, we find that the gesture produced by Paamese participants during verbal descriptions of marital relations are performed significantly more often on two diagonal directions of the sagittal axis. We show that these diagonals are also found in the few diagrams that participants drew on the ground to augment their verbo-gestural descriptions of marriage practices with drawing. We interpret this behavior as evidence of a spatial template, which Paamese speakers activate to think and communicate about family relations. We therefore argue that extending investigations of kinship structures beyond kinship terminologies alone can unveil additional key factors that shape kinship cognition and communication and hereby provide further insights into the diversity of social structures.

[Dying during the pandemic: Experiences of relatives of patients who died during the COVID-19 pandemic in Chile]. / Morir en pandemia: Experiencias de familiares de pacientes fallecidos durante la pandemia COVID-19 en Chile.

INTRODUCTION: The COVID-19 pandemic marked a milestone in the history of medicine worldwide. Together with the humanitarian drama it represented, the problems that arose are promoting lines of research in multiple fields. One of these fields is the aspects related to medical communication and end-of-life care. This paper reports the experiences and perceptions of relatives of patients who died during the pandemic with a psychospiritual support intervention in a public hospital in the Metropolitan Region, Chile, called "farewell". METHODS: A qualitative study was conducted with a phenomenological approach based on in-depth interviews. From this, categories were derived that allowed a systematization of the observation of the experiences. RESULTS: Among the results, the impact of the circumstances and the communication provided by the medical team on grief should be highlighted. The use of the word "farewell" emerges as a useful, albeit ambiguous, communicative tool when it comes to adequately framing an end-of-life process. CONCLUSIONS: It is argued that the end of life is an area that requires physical and psychospiritual spaces, and adequate training at all levels to do justice to a highly relevant moment in the care of people.

Associations among claims-based care fragmentation, self-reported gaps in care coordination, and self-reported adverse events.

BACKGROUND: Fragmentation of care (that is, the use of multiple ambulatory providers without a dominant provider) may increase the risk of gaps in communication among providers. However, it is unclear whether people with fragmented care (as measured in claims) perceive more gaps in communication among their providers. It is also unclear whether people who perceive gaps in communication experience them as clinically significant (that is, whether they experience adverse events that they attribute to poor coordination). METHODS: We conducted a longitudinal study using data from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, including a survey on perceptions of healthcare (2017-2018) and linked fee-for-service Medicare claims (for the 12 months prior to the survey) (N = 4,296). We estimated correlation coefficients to determine associations between claims-based and self-reported numbers of ambulatory visits and ambulatory providers. We then used logistic regression to determine associations between claims-based fragmentation (measured with the reversed Bice-Boxerman Index [rBBI]) and self-reported gaps in care coordination and, separately, between claims-based fragmentation and self-reported adverse events that the respondent attributed to poor coordination. RESULTS: The correlation coefficient between claims-based and self-report was 0.37 for the number of visits and 0.38 for the number of providers (p < 0.0001 for each). Individuals with high fragmentation by claims (rBBI ≥ 0.85) had a 23% increased adjusted odds of reporting any gap in care coordination (95% CI 3%, 48%) and, separately, a 61% increased adjusted odds of reporting an adverse event that they attributed to poor coordination (95% CI 11%, 134%). CONCLUSIONS: Medicare beneficiaries with claims-based fragmentation also report gaps in communication among their providers. Moreover, these gaps appear to be clinically significant, with beneficiaries reporting adverse events that they attribute to poor coordination.

The media risk of infodemic in public health emergencies: Consequences and mitigation approaches.

This study explores the nuances of information sharing in the context of infodemics, with a concentrated examination of the effects of opinion leaders and information attention on users' disposition towards sharing information during public health emergencies. The research adopts a quantitative methodology, employing Structural Equation Modeling (SEM) to empirically test the proposed hypotheses. By employing a rigorous analytical framework, the research also scrutinizes the mediating role of risk perception in shaping users' intentions to disseminate information related to public health emergencies. Additionally, it investigates the moderating effect of perceived usefulness, shedding light on how it influences the strength of the relationship between information attention and risk perception. The findings underscore the significance for public health communication strategies, emphasizing targeted messaging utilizing trusted opinion leaders and emphasizing information utility to foster responsible sharing. This research contributes to the academic conversation on infodemic management, providing empirical insights to guide policies and practices in mitigating misinformation during public health emergencies.

Generative AI as a tool for truth.

Conversation with a trained chatbot can reduce conspiratorial beliefs.

A quantitative content analysis of topical characteristics of the online COVID-19 infodemic in the United States and Japan.

BACKGROUND: The COVID-19 pandemic has spurred the growth of a global infodemic. In order to combat the COVID-19 infodemic, it is necessary to understand what kinds of misinformation are spreading. Furthermore, various local factors influence how the infodemic manifests in different countries. Therefore, understanding how and why infodemics differ between countries is a matter of interest for public health. This study aims to elucidate and compare the types of COVID-19 misinformation produced from the infodemic in the US and Japan. METHODS: COVID-19 fact-checking articles were obtained from the two largest publishers of fact-checking articles in each language. 1,743 US articles and 148 Japanese articles in their respective languages were gathered, with articles published between 23 January 2020 and 4 November 2022. Articles were analyzed using the free text mining software KH Coder. Exploration of frequently-occurring words and groups of related words was carried out. Based on agglomeration plots and prior research, eight categories of misinformation were created. Lastly, coding rules were created for these eight categories, and a chi-squared test was performed to compare the two datasets. RESULTS: Overall, the most frequent words in both languages were related to health-related terms, but the Japan dataset had more words referring to foreign countries. Among the eight categories, differences with chi-squared p ≤ 0.01 were found after Holm-Bonferroni p value adjustment for the proportions of misinformation regarding statistics (US 40.0% vs. JP 25.7%, ϕ 0.0792); origin of the virus and resultant discrimination (US 7.0% vs. JP 20.3%, ϕ 0.1311); and COVID-19 disease severity, treatment, or testing (US 32.6% vs. JP 45.9%, ϕ 0.0756). CONCLUSIONS: Local contextual factors were found that likely influenced the infodemic in both countries; representations of these factors include societal polarization in the US and the HPV vaccine scare in Japan. It is possible that Japan's relative resistance to misinformation affects the kinds of misinformation consumed, directing attention away from conspiracy theories and towards health-related issues. However, more studies need to be done to verify whether misinformation resistance affects misinformation consumption patterns this way.

ChatGPT to the rescue?

For years, but especially since the pandemic, this page and many others in Science and elsewhere have been filled with lamentations about the spread of scientific misinformation-and hand wringing on how to prevent it. High-speed sharing and the relentless activity of social media influencers have made this difficult problem even worse. Dangerous skepticism about the COVID-19 vaccine, for example, continues to stoke wider hesitancy to other vaccines, a disastrous consequence for public health. Solutions to blunt scientific misinformation have been elusive. Now a new study, reported in this issue of Science, suggests that artificial intelligence (AI) could provide a means to dispel misinformation and in a way that lasts.

Effective use of role-modeling videos for end-of-life education.

BACKGROUND: Role-modeling videos portray how to complete a task or behave in a situation. As posited by Social Learning Theory and the Model of Transformational Learning, role-modeling videos used in the Catalyzing Relationships at the End-of-Life Program (CAREol Program©) were developed to engage and transform student learning. PURPOSE: The purpose of the study was to understand how role-modeling videos about difficult family relationships at the end of life enhance preparation of nursing and medical students for clinical practice. METHODS: A descriptive qualitative analysis was used to explore the understanding of 156 nursing and medical students' knowledge of end-of-life care expressed through journal reflections after experiencing a role-modeling video. RESULTS: Four themes emerged from the qualitative descriptive analysis: comfort, communication, time together, and forgiveness/reconciliation. CONCLUSION: Through the lens of Social Learning Theory and the Model of Transformational Learning, students learn about the importance of comfort, communication, time together, and forgiveness in family relationships at the end of life.

Hyperscanning shows friends explore and strangers converge in conversation.

During conversation, people often endeavor to convey information in an understandable way (finding common ground) while also sharing novel or surprising information (exploring new ground). Here, we test how friends and strangers balance these two strategies to connect with each other. Using fMRI hyperscanning, we measure a preference for common ground as convergence over time and exploring new ground as divergence over time by tracking dyads' neural and linguistic trajectories over the course of semi-structured intimacy-building conversations. In our study, 60 dyads (30 friend dyads) engaged in a real-time conversation with discrete prompts and demarcated turns. Our analyses reveal that friends diverge neurally and linguistically: their neural patterns become more dissimilar over time and they explore more diverse topics. In contrast, strangers converge: neural patterns and language become more similar over time. The more a conversation between strangers resembles the exploratory conversations of friends, the more they enjoy it. Our results highlight exploring new ground as a strategy for a successful conversation.

Investigating the role of source and source trust in prebunks and debunks of misinformation in online experiments across four EU countries.

Misinformation surrounding crises poses a significant challenge for public institutions. Understanding the relative effectiveness of different types of interventions to counter misinformation, and which segments of the population are most and least receptive to them, is crucial. We conducted a preregistered online experiment involving 5228 participants from Germany, Greece, Ireland, and Poland. Participants were exposed to misinformation on climate change or COVID-19. In addition, they were pre-emptively exposed to a prebunk, warning them of commonly used misleading strategies, before encountering the misinformation, or were exposed to a debunking intervention afterwards. The source of the intervention (i.e. the European Commission) was either revealed or not. The findings show that both interventions change four variables reflecting vulnerability to misinformation in the expected direction in almost all cases, with debunks being slightly more effective than prebunks. Revealing the source of the interventions did not significantly impact their overall effectiveness. One case of undesirable effect heterogeneity was observed: debunks with revealed sources were less effective in decreasing the credibility of misinformation for people with low levels of trust in the European Union (as elicited in a post-experimental questionnaire). While our results mostly suggest that the European Commission, and possibly other public institutions, can confidently debunk and prebunk misinformation regardless of the trust level of the recipients, further evidence on this is needed.