Social intelligence in health professions educationists: how it helps to deal with challenges at the workplace? a mixed-method study.

Objectives: To identify the social intelligence of medical educationists, and the coping strategies used to deal with workplace challenges. METHODS: The mixed-method study with an explanatory sequential design was conducted from March 15 to July 30, 2021, after approval from the ethics review committee of Riphah International University, Rawalpindi, Pakistan, and comprised medical educationists working in medical and dental colleges and institutions across the country. Data was collected using Tromso social intelligence scale in the quantitative phase. The socially intelligent educationists were identified, and were interviewed. Qualitative data was subjected to thematic analysis to identify predominant themes explaining the coping strategies used. RESULTS: In the quantitative phase, there were 80 participants; 51(63.7%) females and 29(36.3%) males, with 24(30%) having >10 years of professional experience. Of them, 11(13.8%) scored low, 54(67.5%) moderate and 15(18.8%) high on the social intelligence scale. In the qualitative phase, there were 13 subjects; 9(69.2%) females and 4(30.8%) males. There were 4 themes identified as coping strategies; inspire respect and trust, bringing readiness before a change, a collaborative and inclusive approach and use of soft skills. CONCLUSIONS: Variation was seen in the levels of social intelligence among medical educationists working in academic institutions. Those with high levels of social intelligence used their non-cognitive soft skills to manage workplace challenges.

Barriers to medical consultation and strategies for enhancing the prevention and reporting of child abuse: A cross-sectional survey of caregivers of paediatric patients at a tertiary care center in Karachi, Pakistan.

Objective: To assess the knowledge of caregivers in a tertiary care setting about child abuse, their perception of potential barriers in the way of seeking medical advice for the victims, and to identify proposed solutions to ensure prevention and reporting of child abuse. METHODS: The cross-sectional study was conducted from June to December 2022 at the paediatric ward of the Aga Khan University Hospital, Karachi, and comprised caregivers who were attendants of inpatients. Data was collected using a predesigned anonymous questionnaire consisting of demographic information and 27 items that were scored on a 6-point Likert scale. Data was analysed using SPSS 20. RESULTS: Of the 144 caregivers, 96(66.6%) were females and 48(33.3%) were males. Overall, 86(59.7%) were aged <35 years, 132(91.7%) were married, and 120(83.3%) were the admitted child's parent. The majority of caregivers 110(76.4%) perceived themselves to possess a high level of knowledge about child abuse. Barriers identified included a lack of trust in police and medicolegal departments 136(94.4%), fear of repercussion from the suspect 120(83.3%) and lack of confidentiality of the victims' identity 116(80.6%). The proposed solutions included spreading awareness among teachers 136(94.4%) and caregivers 131(91.0%) about timely reporting and consultation, and developing proper mechanisms to follow-up on victims 133(92.4%). There were significant associations between some demographic characteristics of the respondents and their self-perceived knowledge and perceptions (p<0.05). Conclusion: There was found a need to enhance public trust, ensure confidentiality, and fostering awareness through targeted strategies for a safer and more facilitative environment for children.

Bridging Research, Accurate Information and Dialogue (BRAID): A Novel Strategy to Build Community Trust.

BACKGROUND: Efforts to promote COVID-19 vaccination uncovered the effects of longstanding structural racism and perpetuated the erosion of community trust in science and public health institutions. Rebuilding trust is a priority to overcome barriers to vaccine uptake. Bridging Research, Accurate Information and Dialogue (BRAID) is a model that combines several evidence-based approaches to nurture trusting relationships with community experts, leading to the dissemination of accurate, timely, and acceptable COVID-19 vaccine messages. OBJECTIVE: To describe an innovative community-engaged participatory research model with the potential to build trust and spread accurate health information through social networks. METHODS: BRAID provided safe spaces for a series of facilitated conversation circles involving trusted community experts and invited clinicians and scientists. Community experts were encouraged to share their experiences, raise concerns, and ask pandemic-related questions in an informal setting. Community experts were empowered to codesign and coproduce accurate health messages acceptable to their communities. To gain insight into the process of building trust, dialogues involving 22 community experts were transcribed and coded, and post survey data from 21 participants were analyzed. CONCLUSIONS: BRAID is a manualized community engagement model that aims to build the trust needed to improve COVID-19 vaccine uptake in historically marginalized communities. Through BRAID, participants developed increased trust in health systems and research. By empowering community experts to share information through their established social networks, BRAID has the potential to amplify the reach and impact of communications regarding health topics that are controversial and divisive, such as COVID-19 vaccination.

Test-reduced teaching for stimulation of intrinsic motivation (TRUST): a randomized controlled intervention study.

BACKGROUND: The anatomy dissection course is a major part of the first two years of the traditional medical curriculum in Germany. The vast amount of content to be learned and the repeated examination is unanimously perceived by students and teachers as a major stress factor that contributes to the increase of psychosocial stress during the first two years of the course of study. Published interventions for specific stress reduction are scarce. METHODS: In a randomized, controlled design two intervention groups were compared with a control group (CG) over the whole dissection course (nine measuring points before, during and after first and second semester). The 'Stress Management intervention (IVSM)' targeted at the setting of personal standards, the 'Friendly Feedback intervention (IVFF)' at the context of frequent testing. Quantitative surveys were distributed at nine measuring points. The questionnaire comprised validated instruments and self-developed items regarding stress, positive and negative affect, anxiety, intrinsic and extrinsic motivation, self-efficacy, and perceived performance. RESULTS: Out of 195 students inscribed in the dissection course, 166 (85%) agreed to participate in the study. The experience of stress during the dissection course was significantly higher in the CG than in the IVFF. Anxiety and negative affect were lower in students of the IVFF while positive affect, intrinsic motivation, and self-efficacy were higher than in the CG. For anxiety and negative affect in the IVSM this was especially seen at the end of the second semester. The self-perceived increase in both knowledge and preparedness for the first big oral and written examination did not differ between the study groups. About three quarters of the participants would choose the intervention 'Friendly Feedback' if given the choice. CONCLUSIONS: Replacing formal tests with friendly feedback has proven to be an effective measure to reduce stress and negative affect and foster positive affect, self-efficacy, and intrinsic motivation, while it did not impair self-perceived academic performance.

Continuance intention and digital health resources from the perspective of elaboration likelihood model and DART model: a structural equation modeling analysis.

Background: Internet hospitals, online health communities, and other digital health APPs have brought many changes to people's lives. However, digital health resources are experiencing low continuance intention due to many factors, including information security, service quality, and personal characteristics of users. Methods: We used cross-sectional surveys and structural equation modeling analysis to explore factors influencing user willingness to continue using digital health resources. Results: Information quality (ß = 0.31, p < 0.05), service quality (ß = 0.19, p < 0.05), platform reputation (ß = 0.34, p < 0.05), and emotional support (ß = 0.23, p < 0.05) have significant positive effects on user value co-creation behavior. Additionally, user trust and perceived usefulness could mediate the association between user value co-creation behavior and continuance intention, with mediation effects of 0.143 and 0.125, respectively. User involvement can positively moderate the association between user value co-creation behavior and user trust (ß = 0.151, t = 2.480, p < 0.001). Also, user involvement can positively moderate the association between value co-creation behavior and perceived usefulness (ß = 0.103, t = 3.377, p < 0.001). Conclusion: The keys to solving the problem of low continuance intention are improving the quality and service level of digital health resources, and promoting users' value co-creation behavior. Meanwhile, enterprises should build a good reputation, create a positive communication atmosphere in the community, and enhance user participation and sense of belonging.

The influence of traceability label trust on consumers' traceability pork purchasing behavior: Based on the moderating effect of food safety identification.

Based on 908 consumer questionnaire data from 15 urban areas in Shanghai, we use the binary logit model to empirically analyze the impact of traceability label trust on consumers' traceable pork purchase behavior and the moderating effect of food safety identification. After constructing the theoretical analysis framework, this paper verifies it from the two aspects of statistical analysis and econometric analysis and tests the robustness of the final results. The results show that: first, traceability label trust has a significant positive impact on consumers' traceability pork behavior. Second, food safety identification can significantly strengthen and promote this process. Third, consumers' purchasing behavior is significantly positively affected by traceable pork consumption scenarios and price labels, but the permanent elderly in the composition of family members significantly negative impact on it. Therefore, we put forward relevant policy suggestions, such as strengthening the knowledge popularization and publicity based on the advantageous commodity attributes of traceable pork, carrying out food safety knowledge popularization education, and enhancing consumers' risk perception and food safety identification ability.

AI Through Ethical Lenses: A Discourse Analysis of Guidelines for AI in Healthcare.

While the technologies that enable Artificial Intelligence (AI) continue to advance rapidly, there are increasing promises regarding AI's beneficial outputs and concerns about the challenges of human-computer interaction in healthcare. To address these concerns, institutions have increasingly resorted to publishing AI guidelines for healthcare, aiming to align AI with ethical practices. However, guidelines as a form of written language can be analyzed to recognize the reciprocal links between its textual communication and underlying societal ideas. From this perspective, we conducted a discourse analysis to understand how these guidelines construct, articulate, and frame ethics for AI in healthcare. We included eight guidelines and identified three prevalent and interwoven discourses: (1) AI is unavoidable and desirable; (2) AI needs to be guided with (some forms of) principles (3) trust in AI is instrumental and primary. These discourses signal an over-spillage of technical ideals to AI ethics, such as over-optimism and resulting hyper-criticism. This research provides insights into the underlying ideas present in AI guidelines and how guidelines influence the practice and alignment of AI with ethical, legal, and societal values expected to shape AI in healthcare.

From Pixels to Principles: A Decade of Progress and Landscape in Trustworthy Computer Vision.

The rapid development of computer vision technologies and applications has brought forth a range of social and ethical challenges. Due to the unique characteristics of visual technology in terms of data modalities and application scenarios, computer vision poses specific ethical issues. However, the majority of existing literature either addresses artificial intelligence as a whole or pays particular attention to natural language processing, leaving a gap in specialized research on ethical issues and systematic solutions in the field of computer vision. This paper utilizes bibliometrics and text-mining techniques to quantitatively analyze papers from prominent academic conferences in computer vision over the past decade. It first reveals the developing trends and specific distribution of attention regarding trustworthy aspects in the computer vision field, as well as the inherent connections between ethical dimensions and different stages of visual model development. A life-cycle framework regarding trustworthy computer vision is then presented by making the relevant trustworthy issues, the operation pipeline of AI models, and viable technical solutions interconnected, providing researchers and policymakers with references and guidance for achieving trustworthy CV. Finally, it discusses particular motivations for conducting trustworthy practices and underscores the consistency and ambivalence among various trustworthy principles and technical attributes.

Unraveling Trust Issues Towards Mental Health Professionals Among Bedouin-Arab Minority in Israel.

Trust in mental health professionals and services profoundly impacts health outcomes. However, understanding trust in mental health professionals, especially in ethnic minority contexts, is lacking. To explore this within the Bedouin-Arab minority, a qualitative study conducted semi-structured interviews with 25 Bedouins in southern Israel. Participants were primarily female (60%) married (60%), averaging 34.08 years old. Employing grounded theory, three themes emerged. Firstly, concerns about confidentiality were central, eroding trust due to societal repercussions. Secondly, factors influencing confidentiality concerns and distrust were tied to Bedouin-Arab social structures and cultural values rather than professional attributes. Lastly, the consequences of distrust included reduced help-seeking. This study enriches the understanding of trust in mental health professionals among non-Western ethnic minorities, highlighting how cultural factors shape perceptions of mental health services and distrust. Addressing confidentiality worries demands Bedouin mental health professionals to acknowledge hurdles, build community ties, and demonstrate expertise through personal connections and events.

Influence of protective clothing and masks on facial trustworthiness in an investment game: insights from a Chinese population study.

Facial features are important sources of information about perceived trustworthiness. Masks and protective clothing diminish the visibility of facial cues by either partially concealing the mouth and nose or covering the entire face. During the pandemic, the use of personal protective equipment affected and redefined who trusts whom in society. This study used the classical investment game of interpersonal trust with Chinese participants to explore the impact of occlusion on interpersonal trust. Faces with moderate initial trustworthiness were occluded by a mask or protective clothing in Experiment 1 and were digitally occluded by a square in Experiment 2, and faces with three levels of initial trustworthiness were occluded by a mask in Experiment 3. Results showed that both undergraduates (Experiment 1a) and non-student adults (Experiment 1b) perceived the faces with protective clothing as more trustworthy than faces wearing standard masks and faces not wearing masks. Faces with the top halves showing were perceived as trustworthy as full faces, while faces with the bottom halves showing were perceived as less trustworthy. The effect of masks is weak and complex. Masks reduced participants' trust in faces with high initial trustworthiness, had no effect on faces with low and moderate initial trustworthiness, and only slightly increased the trust of undergraduates in faces with moderate initial trustworthiness. Our findings indicate that the lack of information caused by occlusion and the social significance associated with occlusion collectively affect people's trust behavior in Chinese society. We believe the findings of this study will be useful in elucidating the effects of personal protective equipment usage on perceptions of trustworthiness.

The impact of social cohesion and risk communication on excess mortality due to COVID-19 in 213 countries: a retrospective analysis.

BACKGROUND: Tools for assessing a country's capacity in the face of public health emergencies must be reviewed, as they were not predictive of the COVID-19 pandemic. Social cohesion and risk communication, which are related to trust in government and trust in others, may have influenced adherence to government measures and mortality rates due to COVID-19. OBJECTIVE: To analyse the association between indicators of social cohesion and risk communication and COVID-19 outcomes in 213 countries. RESULTS: Social cohesion and risk communication, in their dimensions (public trust in politicians, trust in others, social safety nets, and equal distribution of resources index), were associated with lower excess mortality due to COVID-19. The number of COVID-19-related disorder events and government transparency were associated with higher excess mortality due to COVID-19. The lower the percentage of unemployed people, the higher the excess mortality due to COVID-19. Most of the social cohesion and risk communication variables were associated with better vaccination indicators, except for social capital and engaged society, which had no statistically significant association. The greater the gender equality, the better the vaccination indicators, such as the number of people who received all doses. CONCLUSION: Public trust in politicians, trust in others, equal distribution of resources and government that cares about the most vulnerable, starting with the implementation of programs, such as cash transfers and combating food insecurity, were factors that reduced the excess mortality due to COVID-19. Countries, especially those with limited resources and marked by social, economic, and health inequalities, must invest in strengthening social cohesion and risk communication, which are robust strategies to better cope with future pandemics.

The "House of Trust". A framework for quality healthcare and leadership.

In healthcare, improvement leaders have been inspired by the frameworks from industry which have been adapted into control systems and certifications to improve quality of care for people. To address the challenge to regain trust in healthcare design and delivery, we propose a conceptual framework, i.e. the "House of Trust". This House brings together the Juran Trilogy, the emerging concept of co-production in quality management and the multidimensional definition of quality, which describes core values as an integral part of the system to deliver person- and kin-centered care. In the "House of Trust" patients, their kin, healthcare providers, executives and managers feel at home, with a sense of belonging. If we want to build a care organization that inspires and radiates confidence to all stakeholders, highlighting the basic interactions between front- and back-office is required. An organization with both well-organized back- and front-offices can enable all to benefit from the trust each of them needs and deserves. A quality system does not depend on government inspection and regulations nor on external accreditation to develop itself into a House of Trust. Success will only be achieved if all involved continuously question themselves about the technical dimensions of quality and their core values during the "moment of truth".

Evaluation of the Clinical Efficacy and Trust in AI-Assisted Embryo Ranking: Survey-Based Prospective Study.

BACKGROUND: Current embryo assessment methods for in vitro fertilization depend on subjective morphological assessments. Recently, artificial intelligence (AI) has emerged as a promising tool for embryo assessment; however, its clinical efficacy and trustworthiness remain unproven. Simulation studies may provide additional evidence, provided that they are meticulously designed to mitigate bias and variance. OBJECTIVE: The primary objective of this study was to evaluate the benefits of an AI model for predicting clinical pregnancy through well-designed simulations. The secondary objective was to identify the characteristics of and potential bias in the subgroups of embryologists with varying degrees of experience. METHODS: This simulation study involved a questionnaire-based survey conducted on 61 embryologists with varying levels of experience from 12 in vitro fertilization clinics. The survey was conducted via Google Forms (Google Inc) in three phases: (1) phase 1, an initial assessment (December 23, 2022, to January 22, 2023); (2) phase 2, a validation assessment (March 6, 2023, to April 5, 2023); and (3) phase 3 an AI-guided assessment (March 6, 2023, to April 5, 2023). Inter- and intraobserver assessments and the accuracy of embryo selection from 360 day-5 embryos before and after AI guidance were analyzed for all embryologists and subgroups of senior and junior embryologists. RESULTS: With AI guidance, the interobserver agreement increased from 0.355 to 0.527 and from 0.440 to 0.524 for junior and senior embryologists, respectively, thus reaching similar levels of agreement. In a test of accurate embryo selection with 90 questions, the numbers of correct responses by the embryologists only, embryologists with AI guidance, and AI only were 34 (38%), 45 (50%), and 59 (66%), respectively. Without AI, the average score (accuracy) of the junior group was 33.516 (37%), while that of the senior group was 35.967 (40%), with P<.001 in the t test. With AI guidance, the average score (accuracy) of the junior group increased to 46.581 (52%), reaching a level similar to that of the senior embryologists of 44.833 (50%), with P=.34. Junior embryologists had a higher level of trust in the AI score. CONCLUSIONS: This study demonstrates the potential benefits of AI in selecting embryos with high chances of pregnancy, particularly for embryologists with 5 years or less of experience, possibly due to their trust in AI. Thus, using AI as an auxiliary tool in clinical practice has the potential to improve embryo assessment and increase the probability of a successful pregnancy.

Trust and Support for Cancer Research Biobanks: Insights from Cancer Patients in Poland.

BACKGROUND Biobanks are legally regulated entities that acquire, store, prepare, preserve, test, analyze, and distribute defined biological material and related information and data from human sources. This study aimed to evaluate trust, support and willingness to donate personal data and tissue samples for biobanking from cancer patients attending oncology departments in Poznan, Poland. MATERIAL AND METHODS This study utilized data from questionnaire-based survey conducted from February to June 2023 among 548 patients from 2 Poznan hospitals equipped with oncology treatment units. The survey employed convenience sampling. Statistical analysis was carried out using JASP 0.18.3 and PQStat1.8.6., with significance levels set at 0.05. Descriptive statistics and logistic regression were utilized to present the results. RESULTS 92.2% of cancer patients supported the establishment of cancer research biobank in Poland, and 93.1% declared the willingness to share their cancer tissues for research purposes. Patients' willingness to donate was associated with biomedical research conducted by biobanks and types of biobank institutions. Most patients were willing to donate for research on cancer, genetic and autoimmune diseases or dementia, but were reluctant to participate in research on sexual identity, intelligence, aggression and for-profit research. Patients were willing to donate to biobanks managed by medical universities, public institutions, clinical hospitals and national biobanks but not to foreign and private biobanks. CONCLUSIONS Although patients' support for cancer biobank is high it is not unconditional as their willingness to participate in cancer-related research is associated with types of biomedical research conducted by biobanks and different types of biobank institutions.

Let Us Just Ask People What They Think: Community Perceptions and Recommendations about Coronavirus Vaccination.

Introduction: Despite widespread efforts to promote coronavirus disease 2019 vaccination in the United States, a significant segment of the population is still unvaccinated or incompletely vaccinated. Objective: The objective of this study was to understand attitudes toward the vaccine in patients presenting to an urban emergency department. Methods: We used a qualitative analysis and semistructured interviews with a convenience sample of patients presenting to an urban emergency department from January 18, 2021, to March 14, 2021. Our final sample consisted of 32 people. Results: We found that people trusted their own medical providers rather than popular or political figures. Critiques of the vaccination program highlighted difficulties in navigation and perceptions of inequity. Conclusions: Equitable distribution strategies and honest messaging may facilitate acceptance of the coronavirus disease 2019 vaccine. Trustworthy sources for vaccine knowledge should be used to target populations in which vaccine hesitancy is a persistent concern.

Decolonizing a Wretched Healthcare System: The African Public Health Practitioner Case.

Introduction: Over the past two years, public health practitioners in African countries have worked actively to combat the Coronavirus Disease 2019 (COVID-19) pandemic with relatively low fatality rates. This pandemic has forced healthcare professionals to re-think and redesign the healthcare system within their own country. Methods: Using the Afrocentric PEN-3 framework and a letter style, the purpose of this commentary was to describe the positive, existential, and negative socio-cultural values associated with African healthcare systems. The commentary also highlights socio-cultural factors affecting public trust in African healthcare systems and their health agencies and how systematically decolonizing them may decrease foreign reliance and empower efficient locally based solutions. Results: We, as African public health practitioners, make three key points in this commentary. First, African public health practitioners have developed resilience within under-resourced healthcare systems. Secondly, oral tradition in African societies and its byproduct (social media) is the means through which people connect and share what they know about any topics (COVID-19). Thirdly, African leaders have particularly contributed to the high level of distrust in their countries' healthcare systems in favor of the healthcare systems of industrialized countries. Conclusion: This commentary concludes with implications for encouraging African public health practitioners to cultivate the resilience that has led to contributing to the wellness of millions of Africans during this COVID-19 pandemic.

Trust but verify: The biasing effects of witness opinions and background knowledge in workplace investigations.

INTRODUCTION: A unique feature of workplace investigations is the familiarity that investigators and witnesses have with the factors involved in the adverse incident. Familiarity creates expectations that can shape investigators' and witnesses' assumptions and opinions. The current research examined the biasing effect of non-factual witness claims on investigators' judgments. These claims, which we call 'uncheckable,' included opinions about factors involved in the event and the future. We also examined how participants' a priori knowledge of an employee's history influenced their judgments. METHOD: This experiment used a 2 (background information: control or unsafe) × 2 (uncheckable content: neutral or unsafe) between-subjects design. Participants were provided with background information about a worker (control or unsafe history) and a witness statement about a workplace event that contained uncheckable claims (neutral or worker as unsafe). We tested how our manipulations biased participants' judgments of: (i) the cause of the event, (ii) the witness's confidence and credibility, and (iii) the diagnosticity of the witness's account. We also tested if biasing background information affected how factual participants found the witness's statement. RESULTS: Biasing uncheckable information (i.e., opinions) affected participants' judgments of event cause (ηp2 = 0.033) and increased their ratings of witness confidence (ηp2 = 0.074). Biasing background information about a worker affected participants' judgments of the cause of the event (ηp2 = 0.088), the diagnostic value of the witness statement (ηp2 = 0.054), and the number of factual claims in the witness statement, resulting in more uncheckable claims being misclassified as potential facts (ηp2 = 0.18). CONCLUSION: This experiment demonstrated the significant effect that non-factual witness statements and irrelevant background information can have on the interpretation of evidence and judgments about the cause of events. PRACTICAL APPLICATION: Understanding how contextual information can bias investigative judgment helps workplace investigators manage its influence in their judgment practices.

Reaching the unreached through building trust: a mixed-method study on COVID-19 vaccination in rural Lao PDR.

INTRODUCTION: The global COVID-19 vaccine rollout has been impacted by socioeconomic disparities and vaccine hesitancy, but few studies examine reasons for changed attitudes. In Lao People's Democratic Republic (Lao PDR), a nationwide government-led initiative was developed in response to COVID-19, focused on community health ownership and trust in primary healthcare. The intervention team including health and governance sectors conducted capacity-building workshops with local staff and community representatives and visited villages for vaccination outreach. This study investigates the impact of this intervention on COVID-19 vaccine acceptance in rural communities. METHODS: Conducted in Xiengkhuang province, Lao PDR, from December 2022 to February 2023, the study employed a sequential mixed-methods research design. Data on vaccinated individuals from 25 villages were collected from 11 primary healthcare units; pre-post analysis was applied. Qualitative data, gathered through interviews and focus group discussions with villagers, village authorities, health staff and local government (n=102) in six villages, underwent inductive thematic analysis. RESULTS: First-dose vaccine uptake after the intervention increased significantly (6.9 times). Qualitative analysis identified key reasons for vaccination hesitancy: (1) mistrust due to rumours and past experiences; (2) poor communication and inconsistent messaging and (3) challenges in access for priority groups. Influencing factors during the intervention included (1) effective local-context communication; (2) leveraging existing community structures and influential individuals in a multisectoral approach and (3) increased community motivation through improved satisfaction, ownership and relationships. CONCLUSION: This study highlights the impact and methods of building trust with unreached populations in health interventions, emphasising locally led solutions. Successful reversal of vaccine hesitancy was achieved by addressing root causes and fostering ownership at community and local government levels through a 'positive approach'. This diverges from conventional supplemental immunisation activities and holds potential for systematically building trust between unreached populations and health systems. Further research could explore the impacts of routine vaccination for sustained improvements in health equity.