Page Views Research Articles

What is the effect of posting video abstracts on journal article impact?

This study assessed the impact of posting video abstracts on journal articles and authors' X engagement. European Journal of Sport Science articles were disseminated on X as animated video abstracts (AN), author-provided video abstracts (AU), or title-only (TO) posts. Metrics, including page views, Altmetric Attention Score (AAS), X engagements, impressions, link clicks, media engagements, and views, were compared at 7 and 30 days. Authors' X presence and video abstract creation were also examined. Page views did not differ between groups after 7 or 30 days. After 7 days, AN received significantly more AAS, impressions, media views and media engagements than AU or TO. After 30 days, AN received significantly more AAS, impressions, engagements, media views and media engagements than AU or TO. TO received significantly more link clicks than AU or TO after 7 and 30 days. Fifty percent of authors have an X account and 11.2% indicated interest in creating a video abstract. Articles promoted using animated video abstracts received more attention, reach and impact on X than those promoted using author-provided video abstracts or title-only posts. Animated video abstracts can be used by authors to effectively promote their research findings and increase their visibility on social media.

Improving Patient Understanding and Outcomes in Lung Cancer Using an Animated Patient's Guide with Visual Formats of Learning.

Lung cancer patient education resources that address barriers to health literacy, improve understanding, and demonstrate improved patient outcomes are limited. Our study aim was to evaluate and report on learner knowledge improvement and intent to implement behavior change, and validate the benefits of the You and Lung Cancer website and YouTube resources. Our study occurred from November 2017 to December 2023. We evaluated audience reach (visit sessions, unique visitors, country origins, page views) and calculated top views by media type (animations, expert videos, patient videos). We assessed the impact and commitment to change through learner surveys (areas of interest, intention to modify behaviors, and intention to discuss disease management with providers) and tested the knowledge of learners pre- and post-reviewing of website content. Our program reached 794,203 views globally; 467,546 were unique visitors; and 243,124 (51%) were unique visitors from the USA. Of US visitors, 46% identified as lung cancer patients. These were patients in treatment (38%), survivors (8%), family members or caregivers (21%), and healthcare providers (14%) with other audiences unspecified (19%). Three areas of highest learner importance were the animations "Understanding Non-Small Cell Lung Cancer" (180,591), "Staging of Lung Cancer" (144,238), and "Treatment and Management of Small Cell Lung Cancer" (49,244). Our study confirmed areas of importance to lung cancer patients and suggests that visual formats of learning, such as animations, can mitigate health literacy barriers and help improve patient understanding and outcomes. Exporting this format of learning to other cancers has the potential to benefit patients and improve health outcomes.

Assessing the political vulnerability of National Parks in sub‐Saharan Africa using data on digital trends and engagement

Abstract National Parks (NPs) and other protected areas in sub‐Saharan Africa are crucial in attracting international tourists interested in wildlife tourism, contributing to national economies. Despite their cultural, economic, and conservation significance, these areas face diverse development threats, leading to pressures for protected area downgrading, downsizing, or degazettement (known as PADDD). We comprehensively analyse the geographical, historical, and structural aspects of 322 NPs in sub‐Saharan Africa and assess their political vulnerability by exploring the interplay of development pressures and public interest (as measured through Wikipedia page views). Fewer than 30% of these NPs possess or report information regarding management plans, even among the five most frequently viewed areas on Wikipedia. This is particularly concerning, since among those who underwent a PADDD event (51 NPs), almost 90% of them also had no information about the existence of management plans. Although we did not identify a statistically significant association between tourism and public interest online, tourism emerges as a potential mitigating factor against PADDD, along with high levels of peace. NPs that garner significant public interest online do not share the same socio‐geographic profile as parks that are most resilient to PADDD events. While digital metrics of public interest have potential as indicators of political resilience in NP, our research has shown that these metrics need refinement to fully understand which biophysical and cultural aspects of parks attract more public attention. Overall, effective conservation strategies in sub‐Saharan Africa require a more holistic understanding of historical, socio‐economic, and cultural factors. Read the free Plain Language Summary for this article on the Journal blog.

Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs

A well-developed recommendation system can not only leverage multi-typed interactions (such as page view, add-to-cart, and purchase) to better identify user preferences, but also demonstrate high performance, low complexity, and strong interpretability. However, many existing solutions for multi-behavior recommendation fall short of intuitive modeling of real-world scenarios, leading to overly complex models with massive parameters and cumbersome components. In particular, they share two critical limitations: (1) Some pioneering models are built upon the strict assumption of cascade effects across behaviors, which contradicts multifarious behavior paths in practical applications. (2) Existing approaches fail to explicitly capture the unique idiosyncrasies of users and even neglect the inherent nature of items involved in the multi-behavior interactions. To this end, we propose a novel Directed Acyclic Graph Convolutional Network (DA-GCN) for the multi-behavior recommendation task. Specifically, we pinpoint the partial order relations within the monotonic behavior chain and extend it to personalized directed acyclic behavior graphs to exploit behavior dependencies. Then, a GCN-based directed edge encoder is employed to distill rich collaborative signals embodied by each directed edge. In light of the information flows over the directed acyclic structure, we propose an attentive aggregation module to gather messages from all potential antecedent behaviors, representing distinct perspectives to understand the terminated behavior. Thus, we obtain comprehensive representations for the follow-up behavior through learnable distributions over its preceding behaviors, explicitly reflecting personalized interactive patterns of users and underlying properties of items simultaneously. Finally, we design a customized multi-task learning objective for flexible joint optimization. Extensive experiments on public benchmarking datasets fully demonstrate the superiority of DA-GCN with significant performance improvement and computational efficiency over a wide range of state-of-the-art methods. Our code is available at https://github.com/xizhu1022/DA-GCN .

Modeling engagement with a digital behavior change intervention (HeartSteps II): An exploratory system identification approach

ObjectiveDigital behavior change interventions (DBCIs) are feasibly effective tools for addressing physical activity. However, in-depth understanding of participants’ long-term engagement with DBCIs remains sparse. Since the effectiveness of DBCIs to impact behavior change depends, in part, upon participant engagement, there is a need to better understand engagement as a dynamic process in response to an individual’s ever-changing biological, psychological, social, and environmental context. MethodsThe year-long micro-randomized trial (MRT) HeartSteps II provides an unprecedented opportunity to investigate DBCI engagement among ethnically diverse participants. We combined data streams from wearable sensors (Fitbit Versa, i.e., walking behavior), the HeartSteps II app (i.e. page views), and ecological momentary assessments (EMAs, i.e. perceived intrinsic and extrinsic motivation) to build the idiographic models. A system identification approach and a fluid analogy model were used to conduct autoregressive with exogenous input (ARX) analyses that tested hypothesized relationships between these variables inspired by Self-Determination Theory (SDT) with DBCI engagement through time. ResultsData from 11 HeartSteps II participants was used to test aspects of the hypothesized SDT dynamic model. The average age was 46.33 (SD=7.4) years, and the average steps per day at baseline was 5,507 steps (SD=6,239). The hypothesized 5-input SDT-inspired ARX model for app engagement resulted in a 31.75 % weighted RMSEA (31.50 % on validation and 31.91 % on estimation), indicating that the model predicted app page views almost 32 % better relative to the mean of the data. Among Hispanic/Latino participants, the average overall model fit across inventories of the SDT fluid analogy was 34.22 % (SD=10.53) compared to 22.39 % (SD=6.36) among non-Hispanic/Latino Whites, a difference of 11.83 %. Across individuals, the number of daily notification prompts received by the participant was positively associated with increased app page views. The weekend/weekday indicator and perceived daily busyness were also found to be key predictors of the number of daily application page views. ConclusionsThis novel approach has significant implications for both personalized and adaptive DBCIs by identifying factors that foster or undermine engagement in an individual’s respective context. Once identified, these factors can be tailored to promote engagement and support sustained behavior change over time.

The transition patterns of learners’ behavior and the association with motivation and cognitive engagement in online learning

This study investigated the transitions in behavioral patterns of students participating in online learning throughout a semester. We analyzed the page view behavior of 283 students enrolled in a course designed to enhance online readiness at a Midwestern university. Utilizing K-means cluster analysis, we tracked page view frequency across various tasks, including assignments, overviews, and reading resources. Our findings indicate a decline in page view frequency for all tasks. Four distinct clusters were identified: active, passive, assignment-oriented, and overview-oriented groups. A notable shift was observed with the majority of students transitioning to the passive group in the second half of the semester. Examining the factors influencing this shift, we employed motivation constructs from Self-Determination Theory (SDT) and measures of cognitive engagement. The results revealed that deep learning strategies and identified motivation positively correlate with the maintenance of active and engaged behaviors. Conversely, shallow learning strategies are associated with decreased active engagement and a focus on specific tasks. External motivation served as a predicting factor for remaining passivity. These insights contribute to understanding the dynamics of student engagement in online learning environment.

Which orthodontic articles are accessed online the most? Exploring article usage metrics along with citations and altmetrics.

To investigate the current state of article usage metrics in orthodontics. Out of all orthodontic journals listed in Journal Citation Reports 2022, the European Journal of Orthodontics and The Angle Orthodontist fulfilled the inclusion criteria. All journal issues published in 2021 were scrutinized for original research articles and systematic reviews/meta-analyses, and the following features were collected: article type, subject, title, number of words and authors, Altmetric Attention Score (AAS), X (formerly Twitter) posts, and Mendeley reads. Article citations, number of publications, and h-index of the last authors were retrieved from Web of Science (WoS). 181 articles were considered eligible. The median number of views and downloads of included articles was 1296 (range: 355-10,233) and 793 (range: 167-3629). Page views, downloads, and total views were significantly correlated with WoS citations (rho > 0.345; P < .001). There was no correlation between usage metrics, AAS, X posts, and Mendeley reads. Number of downloads were significantly higher in studies dealing with new technologies, and where the last author had 1-40 publications or an h-index of 0-30. Page views, downloads, and total views were positively correlated with WoS citations and, therefore, may serve as an early estimate of future citations. Significant variations in article downloads may be expected in relation to article subject, scientific productivity, and impact of the last authors.

Implementation and Evaluation of a School Nurse Toolkit to Reinforce Best Practices for Asthma Care in Schools.

A toolkit, developed by a multidisciplinary team of national and statewide professionals, was promoted among school nurses in Michigan to support use of the standards of care for asthma in schools. We evaluated the effectiveness of the toolkit to assist school nurses in providing support for students with asthma. We used a multimethod approach to assess use of the toolkit, changes in nursing practices as a result of using the toolkit, and challenges encountered when implementing the standards for asthma care. During a 12-month period, from July 2022 through June 2023, increases in time on web page and monthly page views aligned with efforts to promote toolkit use. School nurses reported using the toolkit and implementing practice changes pertaining to training and education, ensuring proper use of and access to asthma medications, and advocating for self-carry of asthma medications. Challenges to implementing the standards of asthma care were time, parental engagement, institutional support, and identifying students with asthma. We found that our promotional efforts prompted school nurses to access the toolkit, which helped school nurses to effectuate practice changes to improve support for students with asthma in schools.

Immediate Versus Delayed Low-Stakes Questioning: Encouraging the Testing Effect Through Embedded Video Questions to Support Students’ Knowledge Outcomes, Self-Regulation, and Critical Thinking

AbstractIn light of the educational challenges brought about by the COVID-19 pandemic, there is a growing need to bolster online science teaching and learning by incorporating evidence-based pedagogical principles of Learning Experience Design (LXD). As a response to this, we conducted a quasi-experimental, design-based research study involving nN = 183 undergraduate students enrolled across two online classes in an upper-division course on Ecology and Evolutionary Biology at a large R1 public university. The study extended over a period of 10 weeks, during which half of the students encountered low-stakes questions immediately embedded within the video player, while the remaining half received the same low-stakes questions after viewing all the instructional videos within the unit. Consequently, this study experimentally manipulated the timing of the questions across the two class conditions. These questions functioned as opportunities for low-stakes content practice and retention, designed to encourage learners to experience testing effect and augment the formation of their conceptual understanding. Across both conditions, we assessed potential differences in total weekly quiz grades, page views, and course participation among students who encountered embedded video questions. We also assessed students’ self-report engagement, self-regulation, and critical thinking. On average, the outcomes indicated that learners exposed to immediate low-stakes questioning exhibited notably superior summative quiz scores, increased page views, and enhanced participation in the course. Additionally, those who experienced immediate questioning demonstrated heightened levels of online engagement, self-regulation, and critical thinking. Moreover, our analysis delved into the intricate interplay between treatment conditions, learners’ self-regulation, critical thinking, and quiz grades through a multiple regression model. Notably, the interaction between those in the immediate questioning condition and self-regulation emerged as a significant factor, suggesting that the influence of immediate questioning on quiz grades varies based on learners’ self-regulation abilities. Collectively, these findings highlight the substantial positive effects of immediate questioning of online video lectures on both academic performance and cognitive skills within an online learning context. This discussion delves into the potential implications for institutions to continually refine their approach in order to effectively promote successful online science teaching and learning, drawing from the foundations of pedagogical learning experience design paradigms and the testing effect model.

Using Civic Service Design Methods to Redevelop a Data Communication Website With a Health Literacy Lens.

Public health agencies routinely publish data in hopes that data influence public health policy and practice. However, data websites can often be difficult to use, posing barriers to people trying to access, understand, and use data. Working to make data websites easier to use can add value to public health data communication work. The New York City Department of Health and Mental Hygiene (DOHMH) redesigned its Environment and Health Data Portal, a website used to communicate environmental health data, with the goal of making data more accessible and understandable to a broader audience. The DOHMH used Civic Service Design methods to establish priorities and strategies for the redesign work, to build a data communication website that emphasizes a high level of usability, and content that explains data. By following a Civic Service Design process, the DOHMH synthesized findings from health communications, data visualization and communication, and web usability to create an easy-to-use website with explanations of data and findings alongside datasets. On the new site, automated dataset visualizations are supplemented with narrative content, explanatory content, and custom interactive applications designed to explain data and findings. Web analytics showed that, in its first year of operation, the site's web traffic grew substantially, with the last 12 weeks recording weekly page views 150% higher than the first 12 weeks of operation (7185 average weekly page views compared with 2866 average weekly page views). Two-thirds (66.3%) of page views include recorded user engagement. Additional evaluations to measure specific aspects of usability compared with the previous version of the site are planned. By following a Civic Service Design process, the DOHMH redesigned a vital data communication platform to increase its usability and saw significant increase in engagement in its first year of operations. By designing data material with usability in mind, public health departments have the potential to improve public health data communication work.

How reproductive health information-seeking behaviors changed post-Dobbs: A Wikipedia page views analysis (Preprint)

How reproductive health information-seeking behaviors changed post-Dobbs: A Wikipedia page views analysis (Preprint)

American Association of Neurological Surgeons/Congress of the Neurological Surgeons Section on Tumors Guidelines: Assessing Their Impact on Brain Tumor Clinical Practice.

Clinical guidelines direct healthcare professionals toward evidence-based practices. Evaluating guideline impact can elucidate information penetration, relevance, effectiveness, and alignment with evolving medical knowledge and technological advancements. As the American Association of Neurological Surgeons/Congress of Neurological Surgeons Section on Tumors marks its 40th anniversary in 2024, this article reflects on the tumor guidelines established by the Section over the past decade and explores their impact on other publications, patents, and information dissemination. Six tumor guideline categories were reviewed: low-grade glioma, newly diagnosed glioblastoma, progressive glioblastoma, metastatic brain tumors, vestibular schwannoma, and pituitary adenomas. Citation data were collected from Google Scholar and PubMed. Further online statistics, such as social media reach, and features in policy, news, and patents were sourced from Altmetric. Online engagement was assessed through website and CNS+ mobile application visits. Data were normalized to time since publication. Metastatic Tumor guidelines (2019) had the highest PubMed citation rate at 26.1 per year and webpage visits (29 100 page views 1/1/2019-9/30/2023). Notably, this guideline had two endorsement publications by partner societies, the Society of Neuro-Oncology and American Society of Clinical Oncology, concerning antiepileptic prophylaxis and steroid use, and the greatest reach on X (19.7 mentions/y). Citation rates on Google Scholar were led by Vestibular Schwannoma (2018). Non-Functioning Pituitary Adenoma led Mendeley reads. News, patent, or policy publications were led by low-grade glioma at 1.5/year. Our study shows that the American Association of Neurological Surgeons/Congress of Neurological Surgeons Section on Tumors guidelines go beyond citations in peer-reviewed publications to include patents, online engagement, and information dissemination to the public.

Potential misinformation in websites on carpal tunnel syndrome

ObjectiveWe sought to evaluate the potential reinforcement of misconceptions in websites discussing carpal tunnel syndrome (CTS). MethodsAfter removing all cookies to limit personalization, we entered “carpal tunnel syndrome” into five search engines and collected the first 50 results displayed for each search. For each of the 105 unique websites, we recorded publication date, author background, and number of views. The prevalence of potential reinforcement and/or reorientation of misconceptions for each website was then scored using a rubric based on our interpretation of the best current evidence regarding CTS. The informational quality of websites was graded with the DISCERN instrument, a validated tool for assessing online health information. ResultsEvery website contained at least one potentially misleading statement in our opinion. The most common misconceptions reference “excessive motion” and “inflammation.” Greater potential reinforcement of misinformation about CTS was associated with fewer page views and lower informational quality scores. ConclusionsKeeping in mind that this analysis is based on our interpretation of current best evidence, potential misinformation on websites addressing CTS is common and has the potential to increase symptom intensity and magnitude of incapability via reinforcement of unhelpful thoughts regarding symptoms. InnovationThe prevalence of patient-directed health information that can increase discomfort and incapability by reinforcing common unhelpful thoughts supports the need for innovations in how we develop, oversee, and evolve healthy online material.

Interactive Media-Based Approach for an Exception From Informed Consent Trial Involving Patients With Trauma

Exception From Informed Consent (EFIC) research requires community consultation (CC) and public disclosure (PD). Traditional methods of conducting CC and PD are slow, expensive, and labor intensive. To describe the feasibility and reach of a novel interactive, media-based approach to CC and PD and to identify the similarities and differences between trial sites in website views, survey responses, online community forum attendance, and opt-out requests. This survey study analyzed the CC and PD campaigns conducted for the TAP trial (Evaluation of BE1116 in Patients With Traumatic Injury and Acute Major Bleeding to Improve Survival), an EFIC trial of the early administration of prothrombin complex concentrate in patients with trauma. The CC and PD campaigns consisted of social media advertisements, linked websites, community surveys, and online community forums. These activities were coordinated from a central site and approved by a central institutional review board. This study focused on the first 52 of 91 TAP trial sites (level I trauma centers) in the US to have completed their CC and PD campaigns. Community members in the catchment areas of the participating trauma centers were targeted. Data analysis was conducted between October 2023 and February 2024. Social media advertisements, surveys, and online community meetings conducted as part of the CC and PD campaign for the TAP trial. Social media campaign reach and engagement, web page views, survey results, online community forum attendance, and opt-out requests. Fifty-two trial sites were approved for participant enrollment. Social media advertisements were displayed 92 million times, reaching 11.8 million individuals. The median (IQR) number of people reached in each location was 210 317 (172 068-276 968). Site-specific websites were viewed 144 197 times (median [IQR] viewings per site, 2984 [1267-4038]). A total of 17 206 fully or partly completed surveys were received, and survey respondents had a median (IQR) age of 40.1 (15-65) years and included 10 444 females (60.7%). Overall, 60.6% survey respondents said they would want to be entered into the trial even if they could not give consent, 87.7% agreed that emergency care research was necessary, and 88.0% agreed that the TAP trial should be conducted in their community. Online community forums were attended by a median (IQR) number of 38 (20-63) people. Four opt-out requests were received. The interactive media-based approach to CC and PD for the ongoing TAP trial showed the feasibility and benefits of executing an efficient, coordinated, centrally run series of locally branded and geographically targeted CC and PD campaigns for a large EFIC study.

Combating Disparities in a Pandemic: Increasing Dissemination of Coronavirus Disease 2019 Resources in Spanish.

Disparities exist in access to coronavirus disease 2019 (COVID-19)-related health information. We aimed to close a gap in online traffic between English and Spanish COVID-19-related health information on our institution's publicly-facing website by 50% within ten months. We used A3 improvement methodology. Outcome measures were the mean monthly difference between English and Spanish COVID-19 online traffic vis-a-vis (1) total webpage views and (2) unique webpage visits. Process measures were stratification of outcome measures by language. Plan-Do-Study-Act cycles included: Recurring advertisements on a local Spanish television station disseminating up-to-date COVID-19 information, including our institution's Spanish COVID-19 online resources, incorporation of QR codes into clinic discharge paperwork linking to institutional Spanish COVID-19 resources, and leveraging social media to expand reach. Control charts assessed impact over time. There were 1,226,196 total webpage views (369,983 Spanish; 856,213 English) and 1,065,536 unique webpage visits (350,518 Spanish; 715,018 English). Both outcome measures displayed sustained, special cause improvement from a mean monthly difference of 25,397 to 11,321 webpage views (55.4% reduction, June 2021) and 25,066 to 7080 unique webpage visits (71.8% reduction, February 2021) corresponding to special cause improvements in process measures. Improvements were not temporally associated with an intervention but coincided with emergency use approval of the COVID-19 vaccine for children aged 12-15 years (May 2021). Although our interventions did not directly show improvements in our measures, we noted increased page views of Spanish COVID-19-related health information on our institution's publicly-facing website in times of high demand for linguistically appropriate services, including pediatric vaccine roll-out.

The Wikipedia effect: Analyzing investor attention for strategic investment decisions

The industries with the highest increase in Wikipedia page views are the telecommunications, consumer durables, and high-technology sectors. On average, firms with increasing views have higher returns, lower earnings per share, and higher price-to-earnings ratios. Moreover, long-short investment strategies using changes in Wikipedia page views yield profitable portfolio returns, outperforming the market. Factor model regressions demonstrate that these portfolios exhibit positive abnormal returns relative to various benchmark models. In particular, the high-minus-low portfolio shows statistically significant alphas that common risk factors cannot explain. The findings suggest that changes in firms’ Wikipedia page views are a valuable indicator of stock performance.

Arabic-language digital interventions for depression in German routine health care are acceptable, but intervention adoption remains a challenge

Migrants face many barriers to mental health care, such as different cultural concepts of distress, unfamiliar pathways to care, and language. Digital mental health interventions are effective and scalable in multi-language versions. However, their implementation into routine care is in its infancy. Here, we report on the Arabic- and German-language implementation of two digital interventions in Germany: The iFightDepression® website, providing information about depression to the public, and the iFightDepression® tool, offering guided self-management for depression. Our main goal is to gain empirical knowledge about the success of their implementation and provide evidence-based recommendations for improvement. Data for the current analyses stem from convenience samples, utilizing anonymized user logs of the iFightDepression® website and 15.307 user accounts in the iFightDepression® tool. We found that the acceptability (time on page, usage behavior) of both digital interventions was comparable between the two user groups. The website pervasiveness of the target populations was nine times lower among Arab migrants in Germany than Germans (89 vs. 834 unique page views/ 100,000 inhabitants), but the increase in views was superior and sustained over three years. The adoption of the tool was lower among Arabic than German users (conversion rate from invitation to completed registration: 30.8% vs. 59.0%, p < 0.001) and appropriateness was challenged as Arabic users reported higher depression severities upon first registration (p = 0.027). Our results show that the uptake of digital interventions for migrants requires facilitation and further tailoring to the needs of the target group.

Personal and engagement factors in remote learning contributing to high student achievement in a transnational education context: A quantitative study

Remote learning, adopted by many institutions as a temporary measure during the COVID-19 pandemic, has been found to be a viable option in many educational settings, including transnational higher education. Remote learning makes extensive use of technology such as virtual learning environments (VLEs) and video conferencing applications. Understanding how these tools can be used to predict students’ academic performance has brought huge benefits to both students and educators. The main determinant of student success is revealed to be personal factors/individual differences that are yet to be investigated. Taking exam performance as an outcome variable, this research utilises a BSc pharmaceutical course student perception on a survey to quantitatively identify the personal factors that contribute to academic achievement through the construction of a new X variable. The findings confirm that page views values operate as a simple one-to-one predictor of exam performance regardless of student cohort. In a holistic model, days since last log in, and practical and coursework marks had a high influence on the generated equations. Additionally, self-study skills, note taking and interest in the subject matter as personal factors were found to be key determinants of student engagement in remote settings. Conversely, less engaged remote learners appeared to struggle with motivation and keeping up to date with their studies, relying to a high extent on teacher support and university facilities during their learning journey. For the first time, this paper addresses personal factors contributing to success in remote learning settings using mathematical modelling and machine learning, thereby avoiding subjectivity and bias in assessment. The findings will be of use to designers of remote learning in general, and more specifically in transnational education.

From what works to what matters: Whole person cancer care and the integrative oncology leadership collaborative (IOLC).

e13567 Background: In 2021-2022, a two-year integrative oncology leadership collaborative ( IOLC ) was established with a goal to routinize whole person care. Thirteen cancer organizations met virtually 1-2x/month, including community, federal and academic centers. The IOLC defined whole person cancer care, adapted &amp; tested open-source patient intake/PROs, education, and workflow resources from primary care, anchored in “what matters” for patients in oncology, and implemented practice change in their settings. Methods: Based on concepts and tools used in whole person primary care , and, with iterative discussion, the IOLC defined minimal required elements for whole person cancer care. Patient advocates, oncology social workers, physicians &amp; nurses came together to draw from efforts that alleviate suffering in palliative, integrative, supportive, and other forms of (mostly) unreimbursed care. Six cancer survivor-advocate members vetted patient-facing resources. Subject matter experts reviewed topics important for clinical initiatives (e.g. group visit models , patient education resources ), shared best practices and solidified commitments to provide whole person care. To assess outcomes, a post-participation survey was fielded. Results: Minimal required elements (MREs) of whole person care were defined as: 1) inclusion of patient &amp; caregiver voice in programming/care plans, 2) explicitly anchoring to “what matters” to the patient in shared decision making and goals of care (using PROs), and 3) supporting safe choices in complementary &amp; integrative modalities. Challenges faced across organizations were: 1) leadership involvement, 2) patient understanding/engagement, 3) resource availability (time/financial), and 4) team alignment. Adaptation of primary care tools to oncology was successful; 15 “pocket guides” gained 2049 page views in 20 mos (top 3: cannabis 18%, nutrition 13%, patient advocacy 10%) and the American Cancer Society adopted the IOLC resources for distribution in 2024. Multi-institutional success occurred via publications and projects such as retooled nurse navigation, survivorship &amp; wellness programs . Survey response rate was 54% (7 of 13 clinical sites). 89% increased whole person health services following IOLC participation (44% moderately or significantly). 100% reported use of the resources in patient care (55% often, 45% periodically). Conclusions: A definition of whole person cancer care, derived from broad consensus, identified MREs that allowed startup success across practice settings. An inclusive community of professionals &amp; patients furthered whole person care with national impact, partnerships and culture change based on what matters to patients.

Analysis of the Multi-Dimensional Characteristics of City Weather Forecast Page Views and the Spatiotemporal Characteristics of Meteorological Disaster Warnings in China

In order to provide insights into how various page views are influenced by public engagement with weather information and to shed light on the patterns of warning issuance across different seasons and regions, this study analyzes the multi-dimensional characteristics of city weather forecast page views and the spatiotemporal characteristics of early warning information in China, from 1 March 2020 to 31 August 2023. This is achieved by utilizing the daily page views of city weather forecasts and meteorological warning data, comparing the public’s attention to weather during holidays versus regular days, assessing the public’s attention to weather under different meteorological warning levels, and performing statistical analysis of the spatiotemporal scale of meteorological disasters. Our analysis shows that compared to weekends and holidays, the public pays more attention to the weather on weekdays, and the difference between weekdays and national statutory holidays is more significant. Due to the widespread impact of heat waves, typhoons, severe convective weather, and geological disasters caused by heavy rainfall, public awareness and participation in flood season weather forecasting have significantly increased. Under red alerts, flash floods, typhoons, and geological risks are the primary concerns. Orange alerts predominantly feature flash floods, rainstorms, typhoons, snowstorms, and cold waves, while sandstorms attract the most attention during yellow alerts. Droughts, however, receive relatively less attention regardless of the warning level. Seasonal patterns in the issuance of meteorological warnings reveal a peak in summer, particularly with typhoons and rainstorms being the main concerns in July, followed by high temperatures and additional typhoon warnings in August. Heavy sea surface wind warnings exhibit a strong seasonal trend, with the majority issued during the winter months. Regionally, southern China experiences the highest frequency of severe convection weather warnings, with provinces such as Jiangxi, Guangxi, and Hunan being the most affected.