Effects of Intervention Timing on Health-Related Fake News: Simulation Study.

BACKGROUND: Fake health-related news has spread rapidly through the internet, causing harm to individuals and society. Despite interventions, a fenbendazole scandal recently spread among patients with lung cancer in South Korea. It is crucial to intervene appropriately to prevent the spread of fake news. OBJECTIVE: This study investigated the appropriate timing of interventions to minimize the side effects of fake news. METHODS: A simulation was conducted using the susceptible-infected-recovered (SIR) model, which is a representative model of the virus spread mechanism. We applied this model to the fake news spread mechanism. The parameters were set similarly to those in the digital environment, where the fenbendazole scandal occurred. NetLogo, an agent-based model, was used as the analytical tool. RESULTS: Fake news lasted 278 days in the absence of interventions. As a result of adjusting and analyzing the timing of the intervention in response to the fenbendazole scandal, we found that faster intervention leads to a shorter duration of fake news (intervention at 54 days = fake news that lasted for 210 days; intervention at 16 days = fake news that lasted for 187 days; and intervention at 10 days = fake news that lasted for 157 days). However, no significant differences were observed when the intervention was performed within 10 days. CONCLUSIONS: Interventions implemented within 10 days were effective in reducing the duration of the spread of fake news. Our findings suggest that timely intervention is critical for preventing the spread of fake news in the digital environment. Additionally, a monitoring system that can detect fake news should be developed for a rapid response.

Simplified Diagnosis of Urosepsis by Emergency Ultrasound Combined with Clinical Scores and Biomarkers.

Background: Urosepsis is a life-threatening medical condition due to a systemic infection that originates in the urinary tract. Early diagnosis and treatment of urosepsis are critical to reducing mortality rates and preventing complications. Our study was aimed at identifying a fast and reliable method for early urosepsis diagnosis and severity assessment by combining prognostic scores such as SOFA and NEWS with ultrasound examination and serum markers PCT and NLR. Methods: We performed a single-center prospective observational study in the Craiova Clinical Emergency Hospital. It initially analysed 204 patients admitted for sepsis of various origins in our hospital between June and October 2023. Those with urological conditions that were suspected to have urosepsis have been selected for the study so that finally 76 patients were included as follows: the severe cases with persistent hypotension requiring vasopressor were enrolled in the septic shock group (15 patients - 19.7%), while the rest were included in the sepsis group (61 patients - 80.3%). Mortality rate in our study was 10.5% (8/76 deaths due to sepsis). Results: Both prognostic scores SOFA and NEWS were significantly elevated in the septic shock group, as were the sepsis markers PCT and NLR. We identified a strong significant positive correlation between the NEWS and SOFA scores (r = 0.793) as well as PCT and NLR (r=0.417). Ultrasound emergency evaluation proved to be similar to CT scan in the diagnosis of urosepsis (RR = 0.944, p=0.264). ROC analysis showed similar diagnostic performance for both scores (AUC = 0.874 for SOFA and 0.791 for NEWS), PCT and NLR (AUC = 0.743 and 0.717). Conclusion: Our results indicate that an accurate and fast diagnosis of urosepsis and its severity may be accomplished by combining the use of simpler tools like emergency ultrasound, the NEWS score and NLR which provide a similar diagnosis performance as other more complex evaluations.

Cross-company jump spillover and the role of news.

We study how jumps spillover and the cross-company impact of firm-specific unscheduled news on jumps between economic sectors. To this end, we employ high-frequency data of 220 constituents of the Russell 3000 index equally divided into eleven sectors. Using conditional jump probabilities, we find that jump spillover is a pervasive phenomenon enhanced when jumps cluster and that firm-specific news, especially from the financial sector, boosts the jump spillover effect. Volatility following spillover jumps is significantly higher than usual, except when firm-specific news is released around the jump provoking the spillover.

Transforming Communication on Serious Illness and Frailty: A Comprehensive Approach to Empowering Informed Decision-Making.

Health care professionals can enhance conversations about serious illness and medical decision-making by adopting a transparent, standardized approach. This article critiques established communication strategies, which often emphasize patient values and goals without providing the necessary medical information to align these goals with a shared understanding of prognosis. We propose an alternate strategy that (1) provides detailed explanations of medical conditions at the beginning of the conversation, (2) includes support persons in discussions, (3) considers capacity, and (4) offers tailored advice by clinicians. The proposed framework aims to provide patients (or their delegates) with the information they need to integrate their values in pursuit of well-informed medical decisions. This strategy builds trust by providing honest information about medical conditions and their trajectories. It empowers decision makers to consider realistic outcomes, allowing them to accept or reject treatments in accordance with their preferences. This article presents a thorough step-by-step guide on how to conduct a serious illness conversation and facilitate medical decision-making, including a supplement that provides example phrases for use in clinical practice.

Creating, publishing, and spreading processes of health-related contents in internet news sites: evaluation of the opinions of actors in health communication.

Introduction: The accuracy and reliability of health information disseminated through news is crucial, as it directly impacts both individual and societal health outcomes. This study aims to analyze the publication process of health content in Türkiye and its implications for public health. By examining the perspectives of various health communication stakeholders, the study seeks to identify existing issues and propose potential solutions. Methods: The research uses a mixed-methods approach, including baseline content analysis of 846 news by 133 criteria, quantitative research with 78 participants encompassing bureaucrats, academics, journalists, and health association members, and 15 in-depth interviews for comprehensive insights. Results: The content analysis indicated that 23.2% of the analyzed news articles lacked credible sources, while 63% did not mention the author's name. A striking 96.2% of respondents stated that inaccurate health news poses a risk to public health, emphasizing the urgent need for standardized reporting practices. The majority (90.9%) pinpointed the media as the primary catalysts for infodemic spread, with 93.5% citing gatekeepers as barriers to accurate information. Eroding trust in media, fueled by unethical practices, harms both media credibility and effective public health interventions. Discussion: The study underscores the necessity for a collaborative approach among public institutions, academia, and media, focusing on responsibility, regulation, and sanctions against the infodemic. The research advocates for a balanced approach that prioritizes health rights and press freedom within a stakeholder-driven framework, highlighting that legislation alone cannot fully enhance the digital information ecosystem.

Is NEWS of value for patients with acute stroke?

BACKGROUND: Patients with acute stroke are at risk of respiratory or circulatory compromise resulting in vital instability, which can be captured through the widely used aggregated National Early Warning Score (NEWS). We aimed to assess the relation between vital instability (defined as NEWS of five or higher) and death or dependency at 90 days after stroke. METHODS: In this observational cohort study we studied 763 patients with ischaemic stroke (n = 400), intracerebral haemorrhage (ICH) (n = 146) or subarachnoid haemorrhage (SAH) (n = 217), hospitalized to a Dutch tertiary referral hospital from 1 January 2017 to 31 December 2018. We calculated NEWS for each 8 h time span during the first 72 h after hospitalization. We also decomposed NEWS into its three components respiration, circulation and consciousness. The primary outcome was death or dependency (modified Rankin Scale score ⩾3) at 90 days after stroke. The association of vital instability with functional dependency was examined using Poisson regression. RESULTS: Two hundred and twenty-seven (58%) patients with ischaemic stroke, 101 (69%) with ICH and 142 (65%) with SAH had at least one episode of vital instability. In patients with ischaemic stroke or SAH, vital instability was associated after adjustment for confounders with death or dependency (adjusted relative risk 1.55 ((95% CI) 1.25-1.93 and 2.13 (1.35-3.36), respectively)). This was mainly driven by impaired consciousness, which was associated with death or dependency in all types of stroke. Respiratory insufficiency and circulatory instability were associated with death or dependency only in SAH. CONCLUSION: Vital instability in the first 72 h of hospitalization for ischaemic stroke or SAH is associated with death or dependency at 90 days. Impaired consciousness was the main driver of this relationship. NEWS may not be appropriate for patients with acute stroke, mainly due to the dichotomous manner in which the level of consciousness is classified, and modification of NEWS should be considered for these patients.

Scientists in the news photos: Photographic portraits of scientists in China (1949-2022).

Photography plays an important role in science communication. This study investigates the photographic portraits of scientists in the news media in China from 1949 to 2022. The data consist of 1,071 photographs published in People's Daily, the most influential newspaper in China. The photographs are analysed according to a framework based on previous studies on the visual representation of scientists. Analysis shows an overall image of scientists that demonstrates distinctive 'Chinese' features, such as the prominence of group photos and governmental honours. Diachronically, the visual image of scientists evolved from the early farmer scientists acclaimed in midst of political struggle to social elites and stars celebrated as China's hope for indigenous innovation. The study enriches our understanding of the visual representation of scientists in China, and sheds light on the influence of culture, politics and social positioning of science and technology on the image of scientists created by the media.

Breaking bad news: Comparing the perception of the role, barriers and experiences of neonatal intensive care and well-baby nursery nurses.

BACKGROUND: Nurses accompany patients throughout the breaking bad news process. AIM: The aim of the research was to compare neonatal intensive care unit (NICU) nurses and well-baby nursery (WBN) nurses on their role, barriers and experiences in breaking bad news to parents/relatives during hospitalization. STUDY DESIGN: A cross-sectional comparative study. RESULTS: Two medical centres in Israel were employed. A 39-item questionnaire was distributed with 140 nurses participating in the study. STROBE Checklist was used. A total of 140 nurses participated in this study. There was no significant overall difference (p ≤ .45) between NICU and WBN nurses in their perception of their role in breaking bad news. Differences were found in barriers to the role which included a lack of information, lack of time and communication issues. No differences were found in the nurses' experiences in breaking bad news. NICU and WBN nurses reported that they received no support (n = 40, 58.8%; n = 45, 64.3%, respectively). No breaking bad news specialty team existed in either unit (NICU: n = 64, 91.4%; n = 60, 87.0%). CONCLUSIONS: Nurses in the WBN and NICU are involved in breaking bad news. The role of the nurse has not been fully acknowledged making it difficult to perform. Nurses' experiences in breaking bad news were varied. Nurses facing challenges should be provided guidance and support. This needs to be implemented. RELEVANCE TO CLINICAL PRACTICE: The role played by nurses in breaking bad news has not been fully acknowledged making it difficult to perform. Nurses need to receive formal training and support in order to improve this practice.

Stop Asking How Much Information Your Patient Wants Before Discussing Serious News.

Discussing serious news is a fundamental communication skill, and many clinicians have been taught to ask their patients how much detail they want to hear before sharing difficult information. Over the past decade, we have taught hundreds of medical students how to discuss serious news and reviewed hundreds of their recorded conversations. We've found that asking how much detail a patient wants to hear often results in confusion and is not an effective way to understand their communication preferences. Instead of asking how much detail your patient wants to hear, we propose an alternative way to tailor information to their needs when discussing serious news. By asking permission to share, presenting the news in a succinct, jargon-free headline, and providing emotional support and expert guidance at the right times, you can give the correct amount of detail while avoiding unnecessary confusion resulting in high-quality, patient centered communication every time you discuss serious news.

NEWS2, S/F-ratio and ROX-index at emergency department for the prediction of adverse outcomes in COVID-19 patients: An external validation study.

BACKGROUND: In the context of the COVID-19 pandemic, the early and accurate identification of patients at risk of deterioration was crucial in overcrowded and resource-limited emergency departments. This study conducts an external validation for the evaluation of the performance of the National Early Warning Score 2 (NEWS2), the S/F ratio, and the ROX index at ED admission in a large cohort of COVID-19 patients from Colombia, South America, assessing the net clinical benefit with decision curve analysis. METHODS: A prospective cohort study was conducted on 6907 adult patients with confirmed COVID-19 admitted to a tertiary care ED in Colombia. The study evaluated the diagnostic performance of NEWS2, S/F ratio, and ROX index scores at ED admission using the area under the receiver operating characteristic curve (AUROC) for discrimination, calibration, and decision curve analysis for the prediction of intensive care unit admission, invasive mechanical ventilation, and in-hospital mortality. RESULTS: We included 6907 patients who presented to the ED with confirmed SARS-CoV-2 infection from March 2020 to November 2021. Mean age was 51 (35-65) years and 50.4% of patients were males. The rate of intensive care unit admission was 28%, and in-hospital death was 9.8%. All three scores have good discriminatory performance for the three outcomes based on the AUROC. S/F ratio showed miscalibration at low predicted probabilities and decision curve analysis indicated that the NEWS2 score provided a greater net benefit compared to other scores across at a 10% threshold to decide ED admission at a high-level of care facility. CONCLUSIONS: The NEWS2, S/F ratio, and ROX index at ED admission have good discriminatory performances in COVID-19 patients for the prediction of adverse outcomes, but the NEWS2 score has a higher net benefit underscoring its clinical utility in optimizing patient management and resource allocation in emergency settings.

Do multisource data matter for NGP prediction? Evidence from the G-LSTM model.

Precisely predicting natural gas prices (NGPs) is important because it can provide the necessary decision-making basis for energy scheduling, planning and control. However, NGPs are affected by many factors and exhibit the characteristics of nonlinearity and randomness, which makes accurate predictions challenging. Therefore, in this paper, the information gain of multisource data and the global optimization ability of the gray wolf algorithm are used to build a multifactor-driven NGP hybrid forecasting model to improve the prediction performance. First, the emotional tendency and readability of news text are extracted and calculated by using VADER and textstat tools, respectively. Then the network search index is filtered and integrated by using the correlation coefficient method and the CRITIC method to form alternative variables of multisource data (news and search index). Second, the gray wolf optimization algorithm is used to find and determine the best key parameter group in long short-term memory model. Finally, the spot price of natural gas in Henry Hub from March 1, 2012 to February 28, 2022 is selected as the prediction object, and multi-scenario numerical experiments are carried out to verify the effectiveness of the proposed model. The ablation experiment results show that the information gain brought by multisource data can effectively improve the prediction effect of NGPs. Furthermore, the proposed model has the best prediction performance in different scenarios and can be regarded as a promising prediction tool.

The impact of an adapted SPIKES protocol vs routine care in the delivery of bad news to IVF patients: an exploratory pilot multicenter randomized controlled trial.

PURPOSE: Determine if the SPIKES method was associated with less distress and more compassion than current modes of delivering negative pregnancy test results to patients undergoing in vitro fertilization. METHODS: Twenty-seven nurses from two centers were randomized to use the modified SPIKES script or continue their standard of care; 136 patients with a negative hCG following embryo transfer were included. SPIKES nurses received 1 h of training by a study psychologist; nurses in the control group were instructed to deliver the news as done previously. Patients who underwent embryo transfer and received a call by a participating nurse with a negative test result received an email invitation on the following day. RESULTS: Control patients reported significantly less distress than SPIKES patients; 33% of SPIKES patients reported that they had felt "extremely sad," compared to 15.2% of the control patients (p = 0.01). Perceived compassion did not differ between the groups (all p ≥ 0.22). CONCLUSION: Patients who received a negative pregnancy test result from the nurses who received a brief training and a script on how to deliver bad news via the modified SPIKES protocol reported significantly more distress than patients receiving negative results from nurses utilizing their standard of care. It is unclear whether a modified SPIKES method to deliver negative pregnancy test results will benefit patients undergoing in vitro fertilization. TRIAL REGISTRATION: Clinical trials.gov NCT04917445.

Hospital Rating Organizations' Quality and Patient Safety Scores: Analysis of Result Discrepancies.

BACKGROUND: In the USA, multiple organizations rate hospitals based on quality and patient safety data, but few studies have analyzed and compared the rating results. OBJECTIVE: Compare the results of different US hospital-rating organizations. DESIGN: Observational data analysis of US acute care hospital ratings. PARTICIPANTS: Four rating organizations: Hospital Compare® (HC), Healthgrades® (HG), The Leapfrog Group® (Leapfrog), and US News and World Report® (USN). MAIN MEASURES: We analyzed the level of concordance (similar ranking), discordance (difference of 1 or more rankings), and severe discordance (difference of two or more rankings), as well as differences and correlations between the scores. KEY RESULTS: From Feb 1 to Oct 3, 2023, we analyzed data from 2,384 hospitals. In Leapfrog, there were 688 hospitals (29%) with Grade A, 652 (27.3%) with B, 885 (37.1%) with C, 153 (6.4%) with D, and 6 (0.3%) with F. For HC, 333 hospitals (14%) had five stars, 676 (28.4%) four, 695 (29.2%) three, 502 (21.4%) two, and 171 (7.2%) one-star. In ratings between HC and Leapfrog, discordance was 70%, and severe discordance was 25.1%. USN ranked 469 hospitals (19.7%). Within the USN-ranked hospital group, there was a 62% discordance and 19.8% severe discordance between HC and Leapfrog. The analysis of orthopedic procedures from HG and USN showed discordance ranging from 48 to 61.2%. CONCLUSION: The rating organizations' reported metrics were highly discordant. A hospital's ranking by one organization frequently did not correspond to a similar ranking by another. The methodology and included timeline and patient population can help explain the differences. However, the discordant ratings may confuse patients and customers.

News Media Framing of Suicide Circumstances and Gender: Mixed Methods Analysis.

BACKGROUND: Suicide is a leading cause of death worldwide. Journalistic reporting guidelines were created to curb the impact of unsafe reporting; however, how suicide is framed in news reports may differ by important characteristics such as the circumstances and the decedent's gender. OBJECTIVE: This study aimed to examine the degree to which news media reports of suicides are framed using stigmatized or glorified language and differences in such framing by gender and circumstance of suicide. METHODS: We analyzed 200 news articles regarding suicides and applied the validated Stigma of Suicide Scale to identify stigmatized and glorified language. We assessed linguistic similarity with 2 widely used metrics, cosine similarity and mutual information scores, using a machine learning-based large language model. RESULTS: News reports of male suicides were framed more similarly to stigmatizing (P<.001) and glorifying (P=.005) language than reports of female suicides. Considering the circumstances of suicide, mutual information scores indicated that differences in the use of stigmatizing or glorifying language by gender were most pronounced for articles attributing legal (0.155), relationship (0.268), or mental health problems (0.251) as the cause. CONCLUSIONS: Linguistic differences, by gender, in stigmatizing or glorifying language when reporting suicide may exacerbate suicide disparities.

Comparison of NEWS2 and PSI as mortality predictors in patients with community acquired pneumonia.

In the West, National Early Warning Score 2 (NEWS2) is commonly applied to predict the severity of illness using only bedside variables unlike the extensive Pneumonia Severity Index (PSI). The objective of this study was to compare these scores as mortality predictors in patients admitted with community acquired pneumonia (CAP). This cross-sectional study was conducted in Jinnah Postgraduate Medical Centre, Karachi, Pakistan, for six months in 2020 on 116 patients presenting with CAP. Cases of aspiration pneumonia, hospital acquired pneumonia, pulmonary tuberculosis, pulmonary embolism, and pulmonary oedema were excluded. In-hospital mortality was taken as the outcome of this study. The mean age of the participants was 46.9±20.5 years. The in-hospital mortalities were 45(38.8%). NEWS2 was 97.8% sensitive but only 15.5% specific in predicting the outcome, whereas PSI was less sensitive (68.9%) but more specific (50.7%), which showed that in comparison with PSI, NEWS2 is a more sensitive mortality predicting score among hospitalised CAP patients.

Partisan Media, Trust, and Media Literacy: Regression Analysis of Predictors of COVID-19 Knowledge.

BACKGROUND: The COVID-19 pandemic was a devastating public health event that spurred an influx of misinformation. The increase in questionable health content was aided by the speed and scale of digital and social media and certain news agencies' and politicians' active dissemination of misinformation about the virus. The popularity of certain COVID-19 myths created confusion about effective health protocols and impacted trust in the health care and government sectors deployed to manage the pandemic. OBJECTIVE: This study explored how people's information habits, their level of institutional trust, the news media outlets they consume and the technologies in which they access it, and their media literacy skills influenced their COVID-19 knowledge. METHODS: We administered a web-based survey using Amazon Mechanical Turk (MTurk) to assess US adults' (n=1498) COVID-19 knowledge, media and news habits, media literacy skills, and trust in government and health-related institutions. The data were analyzed using a hierarchical linear regression to examine the association between trust, media literacy, news use, and COVID-19 knowledge. RESULTS: The regression model of demographic variables, political affiliation, trust in institutions, media literacy, and the preference for watching Fox or CNN was statistically significant (R2=0.464; F24,1434=51.653; P<.001; adjusted R2=0.455) in predicting COVID-19 knowledge scores. People who identified as politically conservative, watched Fox News, and reported lower levels of institutional trust and media literacy, scored lower on COVID-19 knowledge questions than those who identified as politically liberal, did not watch Fox News and reported higher levels of institutional trust and media literacy. CONCLUSIONS: This study suggests that the media outlets people turn to, their trust in institutions, and their perceived degree of agency to discern credible information can impact people's knowledge of COVID-19, which has potential implications for managing communication in other public health events.

Locality-based social media: The impact of content consumption and creation on perceived neighborhood crime, safety, and offline crime prevention.

Locality-based social media (LBSM) allow members of the community to exchange news, connect with local people, and raise awareness of problems such as crime. This study aims to better understand the influence of LBSM on perceptions of community crime, safety, and crime prevention. Drawing on survey data from 1000 Australians, we assess the extent to which frequency of exposure to crime on LBSM and intensity of engagement on LBSM influence perceptions of crime, safety, and offline crime prevention behaviors. LBSM content creators perceive less crime and feel safer compared to individuals who only consume content on LBSM. Creators of content are also more likely than consumers to engage in offline crime prevention action. Our findings highlight the need to encourage more balanced engagement across all members of community social media. Smaller groups that contain only local residents may be best suited to achieve this outcome.

Dataset: Annotated soybean market news articles.

This dataset involves a collection of soybean market news through web scraping from a Brazilian website. The news articles gathered span from January 2015 to June 2023 and have undergone a labeling process to categorize them as relevant or non-relevant. The news labeling process was conducted under the guidance of an agricultural economics expert, who collaborated with a group of nine individuals. Ten parameters were considered to assist participants in the labeling process. The dataset comprises approximately 11,000 news articles and serves as a valuable resource for researchers interested in exploring trends in the soybean market. Importantly, this dataset can be utilized for tasks such as classification and natural language processing. It provides insights into labeled soybean market news and supports open science initiatives, facilitating further analysis within the research community.

Associations between news coverage, social media discussions, and search trends about celebrity deaths, screening, and other colorectal cancer-related events.

OBJECTIVE: Colorectal cancer (CRC) is the third leading cause of cancer death among both men and women in the United States. CRC-related events may increase media coverage and public attention, boosting awareness and prevention. This study examined associations between several types of CRC events (including unplanned celebrity cancer deaths and planned events like national CRC awareness months, celebrity screening behavior, and screening guideline changes) and news coverage, Twitter discussions, and Google search trends about CRC and CRC screening. METHODS: We analyzed data from U.S. national news media outlets, posts scraped from Twitter, and Google Trends on CRC and CRC screening during a three-year period from 2020 to 2022. We used burst detection methods to identify temporal spikes in the volume of news, tweets, and search after each CRC-related event. RESULTS: There is a high level of heterogeneity in the impact of celebrity CRC events. Celebrity CRC deaths were more likely to precede spikes in news and tweets about CRC overall than CRC screening. Celebrity screening preceded spikes in news and tweets about screening but not searches. Awareness months and screening guideline changes did precede spikes in news, tweets, and searches about screening, but these spikes were inconsistent, not simultaneous, and not as large as those events concerning most prominent public figures. CONCLUSIONS: CRC events provide opportunities to increase attention to CRC. Media and public health professionals should actively intervene during CRC events to increase emphasis on CRC screening and evidence-based recommendations.