Ostomy Information on the Internet-Is It Good Enough?

PURPOSE: The aim of this study was to determine which internet search engines and keywords patients with ostomies utilize, to identify the common websites using these terms, to determine what aspects of information they wanted, and to perform a quality and readability assessment for these websites. DESIGN: A cross-sectional survey of persons with ostomies to identify search engines and terms, followed by a structured assessment of the quality and readability of the identified web pages. SUBJECT AND SETTINGS: The sample comprised 20 hospitalized patients with ostomies cared for on a colorectal surgical ward of a tertiary care hospital located in Melbourne, Australia. There were 15 (75%) adult males and 5 (25%) adult females; their mean age was 52.2 years. Participants were surveyed between August and December 2020. METHODS: Patients with newly formed ostomies were surveyed about which search engines and keywords they would use to look for information and for which questions regarding ostomies they wanted answers. In addition, 2 researchers then performed independent searches using the search terms identified by patient participants. These searches were conducted in August 2021, with the geographical location set to Australia. The quality of the websites was graded using the DISCERN, Ensuring Quality Information for Patients, and Quality Evaluation Scoring Tool scoring assessments, and their readability was graded using the Flesch Reading Ease Score tool. RESULTS: Participants used Google as their primary search engine. Four keywords/phrases were identified: stoma for bowel surgery, ileostomy, colostomy, and caring for stoma. Multiple web pages were identified, 8 (21%) originated from Australia, 7 (18%) were from the United Kingdom, and 23 (61%) were from the United States. Most web pages lacked recent updates; only 18% had been undated within the last 12 months. The overall quality of the online information on ostomies was moderate with an average level of readability, deemed suitable for patient educational purposes. CONCLUSIONS: Information for persons living with an ostomy can be obtained from multiple web pages, and many sites have reasonable quality and are written at a suitable level. Unfortunately, these websites are rarely up-to-date and may contain advice that may not be applicable to individual patients.

Users choose to engage with more partisan news than they are exposed to on Google Search.

If popular online platforms systematically expose their users to partisan and unreliable news, they could potentially contribute to societal issues such as rising political polarization1,2. This concern is central to the 'echo chamber'3-5 and 'filter bubble'6,7 debates, which critique the roles that user choice and algorithmic curation play in guiding users to different online information sources8-10. These roles can be measured as exposure, defined as the URLs shown to users by online platforms, and engagement, defined as the URLs selected by users. However, owing to the challenges of obtaining ecologically valid exposure data-what real users were shown during their typical platform use-research in this vein typically relies on engagement data4,8,11-16 or estimates of hypothetical exposure17-23. Studies involving ecological exposure have therefore been rare, and largely limited to social media platforms7,24, leaving open questions about web search engines. To address these gaps, we conducted a two-wave study pairing surveys with ecologically valid measures of both exposure and engagement on Google Search during the 2018 and 2020 US elections. In both waves, we found more identity-congruent and unreliable news sources in participants' engagement choices, both within Google Search and overall, than they were exposed to in their Google Search results. These results indicate that exposure to and engagement with partisan or unreliable news on Google Search are driven not primarily by algorithmic curation but by users' own choices.

SOCIAL LISTENING AND GOOGLE TRENDS AS TOOLS FOR ESTIMATING PUBLIC AWARENESS OF RESPIRATORY SYNCYTIAL VIRUS.

Respiratory Syncytial Virus (RSV) imposes a large disease burden on a global level. Public awareness of RSV is important to support preventive interventions. In this study, Google Trends and a social listening tool, Brand24, were compared for measuring changes in public awareness levels of RSV. Google Trends is recommended for future research, as it is more sensitive, cost-free and open access.

Integration of VarSome API in an existing bioinformatic pipeline for automated ACMG interpretation of clinical variants.

OBJECTIVE: While the bioinformatic workflow, from quality control to annotation, is quite standardized, the interpretation of variants is still a challenge. The decreasing cost of massively parallel NGS has produced hundreds of variants per patient to analyze and interpret. The ACMG "Standards and guidelines for the interpretation of sequence variants", widely adopted in clinical settings, assume that the clinician has a comprehensive knowledge of the literature and the disease. MATERIALS AND METHODS: To semi-automatize the application of the guidelines, we decided to develop an algorithm that exploits VarSome, a widely used platform that interprets variants on the basis of information from more than 70 genome databases. RESULTS: Here we explain how we integrated VarSome API into our existing clinical diagnostic pipeline for NGS data to obtain validated reproducible results as indicated by accuracy, sensitivity and specificity. CONCLUSIONS: We validated the automated pipeline to be sure that it was doing what we expected. We obtained 100% sensitivity, specificity and accuracy, confirming that it was suitable for use in a diagnostic setting.

Use and interest of electronic nicotine delivery systems (ENDS): Assessing the validity of Google Trends.

Background: Initial evidence suggests a role for Google Trends (GT) in monitoring use and interest in Electronic Nicotine Delivery Systems (ENDS).Objective: To examine the validity of GT data for assessing population behavior and interest in ENDS.Methods: GT search, done from the US and India to assess: (a) whether descriptive and statistical trends of specific search words depicting online interest in ENDS were similar to the published reports on actual use of these products in the US; (b) correlations between state-wise relative search volumes (RSV) of these words and prevalence of ENDS use; (c) the change in the online interest of ENDS after change in its regulatory policy.Results: Locally weighted scatter plot analysis showed "electronic cigarette," "vaping," and "cigarette" trends mirrored the use trend reported by the US-based National Youth Tobacco Survey (2019). Online interest in "Juul pods" followed the trends of its use. Geo-spatial RSVs of "electronic cigarette" (r=0.74, p<0.0001) and "vaping" (r=0.55, p<0.0001) correlated positively with state-wise prevalence of switch to ENDS in adults. Complete ENDS use prohibition in India was associated with a decrease in the online interest in "electronic cigarettes" (t=3.18, p=0.01) and "vaping" (t=2.3, p=0.04). Regulation of use in New Mexico (USA) was associated with a reduction in "electronic cigarettes" (t=4.09, p=0.0005) but not in "vaping."Conclusion: GT may be used to validate existing information and assess the potential effect of ENDS regulations. Its role can also be extended for monitoring interest and use of other drugs and alcohol.

Inaccuracies in Google's Health-Based Knowledge Panels Perpetuate Widespread Misconceptions Involving Infectious Disease Transmission.

Google health-based Knowledge Panels were designed to provide users with high-quality basic medical information on a specific condition. However, any errors contained within Knowledge Panels could result in the widespread distribution of inaccurate health information. We explored the potential for inaccuracies to exist within Google's health-based Knowledge Panels by focusing on a single well-studied pathogen, Ebola virus (EBOV). We then evaluated the accuracy of those transmission modes listed within the Google Ebola Knowledge Panel and investigated the pervasiveness of any misconceptions associated with inaccurate transmission modes among persons living in Africa. We found that the Google Ebola Knowledge Panel inaccurately listed insect bites or stings as modes of EBOV transmission. Our scoping review found 27 articles and reports that revealed that 9 of 11 countries where misconceptions regarding insect transmission of EBOV have been reported are locations of current (i.e., Democratic Republic of Congo and Guinea) or previous EBOV outbreaks. We found reports that up to 26.6% (155/582) of study respondents in Democratic Republic of Congo believed mosquito bite avoidance would prevent EBOV; in other locations of previous large-scale EBOV outbreaks (e.g., Guinea), up to 61.0% (304/498) of respondents believed insects were involved in EBOV transmission. Our findings highlight the potential for errors to exist within the health information contained in Google's health-based Knowledge Panels. Such errors could perpetuate misconceptions or misinformation, leading to mistrust of health workers and aid agencies and in turn undermining public health education or outbreak response efforts.

Ask Dr Google: what STI do I have?

OBJECTIVES: Between 2013 and 2014, a third of Australian adults reported using the internet to investigate medical symptoms before consulting a medical practitioner. However, there is limited evidence regarding internet health information seeking behaviour (HISB) in sexual health. This study aims to determine the frequency, predictors and accuracy of internet HISB for sexual health self-diagnosis. METHODS: A cross-sectional paper-based survey, available in English, Chinese and Thai, was conducted during April to August 2019 at the Sydney Sexual Health Centre (SSHC). Symptomatic patients were recruited to answer an 18-item survey on their HISB, self-assessed diagnosis, anxiety and health literacy. Survey responses were correlated with SSHC electronic medical record data including participant demographics and clinician diagnosis. Data analyses were performed using Stata V.14. RESULTS: The majority of participants searched the internet (355; 79.1%) before attending clinic, and of these only 16.9% made a correct self-diagnosis. Multivariate analyses demonstrated that relative to Australian-born participants, people born in Asia were twice as likely to undertake internet HISB (adjusted OR (AOR) 2.41, 95% CI 1.25 to 4.64, p<0.01), and those born in Latin America were more likely to self-diagnose correctly (AOR 3.35, 95% CI 1.20 to 9.37, p<0.01). On average, participants who searched the internet scored higher relative to those who did not search, on measures of feeling generally tense (2.26, 95% CI 2.16 to 2.7 and 1.86, 95% CI 1.67 to 2.05, p<0.001), upset (1.96, 95% CI 1.85 to 2.08 and 1.53, 95% CI 1.35 to 1.72, p<0.001) and worried (2.55, 95% CI 2.44 to 2.65, and 2.16, 95% CI 1.95 to 2.38, p=0.001). CONCLUSIONS: This study has filled important gaps in the literature and highlighted the high prevalence of adults engaging in HISB for sexual health information. Of concern are the increased levels of anxiety and low accuracy of self-diagnoses associated with HISB. Strategies to direct patients to reputable and user-friendly health websites that mitigate anxiety and misinterpretation of online health information should be explored.

Ethical Challenges and Opportunities Associated With the Ability to Perform Medical Screening From Interactions With Search Engines: Viewpoint.

Recent research has shown the efficacy of screening for serious medical conditions from data collected while people interact with online services. In particular, queries to search engines and the interactions with them were shown to be advantageous for screening a range of conditions including diabetes, several forms of cancer, eating disorders, and depression. These screening abilities offer unique advantages in that they can serve a broad strata of the society, including people in underserved populations and in countries with poor access to medical services. However, these advantages need to be balanced against the potential harm to privacy, autonomy, and nonmaleficence, which are recognized as the cornerstones of ethical medical care. Here, we discuss these opportunities and challenges, both when collecting data to develop online screening services and when deploying them. We offer several solutions that balance the advantages of these services with the ethical challenges they pose.

The Emtree term "diagnostic test accuracy study" retrieved less than half of the diagnostic accuracy studies in Embase.

OBJECTIVES: Embase is a biomedical and pharmacological bibliographic database of published literature, produced by Elsevier. In 2011, Embase introduced the Emtree term "diagnostic test accuracy study," after discussion with the diagnostic test accuracy (DTA) community of Cochrane. The aim of this study is to investigate the performance of this Emtree term when used to retrieve diagnostic accuracy studies. STUDY DESIGN AND SETTING: We first piloted a random selection of 1,000 titles from Embase and then repeated the process with 1,223 studies specifically limited to humans. Two researchers independently screened those for eligibility. From titles that were indicated as being relevant or potentially relevant by at least one assessor, the full texts were retrieved and screened. A third researcher retrieved the Emtree terms for each title and checked whether "diagnostic test accuracy study" was one of the attached Emtree terms. The results of both exercises were then cross-classified, and sensitivity and specificity of the Emtree term were estimated. RESULTS: Our pilot set consisted of 1,000 studies, of which 20 (2.0%) were studies from which DTA data could be extracted. Thirteen studies had the label DTA study, of which five were indeed DTA studies. The final set consisted of 1,223 studies, of which 33 (2.7%) were DTA studies. Twenty studies were labeled as DTA study, of which fourteen indeed were DTA studies. This resulted in a sensitivity of 42.4% (95% CI: 25.5% to 60.8%) and a specificity of 99.5% (95% CI: 98.9% to 99.8%). CONCLUSION: Although we planned to include a more focused set of studies in our second attempt, the percentage of DTA studies was similar in both attempts. The DTA label failed to retrieve most of the DTA studies and 30% of the studies labeled as being DTA study were in fact not DTA studies. The Emtree term DTA study does not meet the requirements to be useful for retrieving DTA studies accurately.

A Federated Online Search Tool for Biospecimens (Sample Locator): Usability Study.

BACKGROUND: The German Biobank Alliance (GBA) aims to establish a cross-site biobank network. For this endeavor, the so-called Sample Locator, a federated search tool for biospecimens and related data, has been developed, forming the heart of its information technology (IT) infrastructure. OBJECTIVE: To ensure the sustainable use of such a tool, we included researchers as participants in an end user-based usability evaluation. METHODS: To develop a prototype ready for evaluation, we needed input from GBA IT experts. Thus, we conducted a 2-day workshop with 8 GBA IT team members. The focus was on the respective steps of a user-centered design process. With the acquired knowledge, the participants designed low-fidelity mock-ups. The main ideas of these mock-ups were discussed, extracted, and summarized into a comprehensive prototype using Microsoft PowerPoint. Furthermore, we created a questionnaire concerning the usability of the prototype, including the System Usability Scale (SUS), questions on negative and positive aspects, and typical tasks to be fulfilled with the tool. Subsequently, the prototype was pretested on the basis of this questionnaire with researchers who have a biobank background. Based on this preliminary work, the usability analysis was ultimately carried out with researchers and the results were evaluated. RESULTS: Altogether, 27 researchers familiar with sample requests evaluated the prototype. The analysis of the feedback certified a good usability, given that the Sample Locator prototype was seen as intuitive and user-friendly by 74% (20/27) of the participants. The total SUS score by the 25 persons that completed the questionnaire was 80.4, indicating good system usability. Still, the evaluation provided useful advice on optimization potential (eg, offering a help function). CONCLUSIONS: The findings of this usability analysis indicate that the considerations regarding a user-friendly application that have been made in the development process so far strongly coincide with the perception of the study participants. Nevertheless, it was important to engage prospective end users to ensure that the previous development is going in the desired direction and that the Sample Locator will be used in the future. The user comments and suggestions for improvement will be considered in upcoming iterations for refinement.

Preferencias del usuario, categorización de consultas y documentos, tres variables importantes en el cálculo de relevancia / User preferences, query and document categorization, three important variables in relevance calculation

The quality of an information retrieval system depends largely on the satisfaction degree of users with the results obtained when executing a query, so it is essential to design processes that store the preferences patterns of each of them and vary the way in which the results are shown taking into account the specific characteristics of each user. The objective of this article was to present an algorithm for calculating the relevance of the documents provided to users, which used the variables: the user's search profile, the category of the documents and the category of the query as parameters, to customize the results provided by the search engine to the users. In addition, it used as impulse factors the degree of predominance of a search category in the user's profile and the categories to which the document belongs. To validate the algorithm, precision and recall metrics were applied to check that the results obtained are relevant to users(AU)

La calidad de un sistema de recuperación de información depende en gran medida del grado de satisfacción de los usuarios en cuanto a los resultados obtenidos al realizar una consulta. Para obtener resultados de búsquedas relevantes es esencial diseñar procesos que almacenen los patrones de preferencias de cada usuario. Este estudio tuvo como objetivo presentar un algoritmo para el cálculo de la relevancia de los documentos brindados. El algoritmo utilizó como parámetros las siguientes variables: perfil de búsqueda del usuario, categoría de los documentos y categoría de la consulta para personalizar los resultados brindados mediante el motor de búsqueda. Además, utilizó como factores de impulso el grado de predominio de una categoría de búsqueda en el perfil del usuario y en las categorías a las que pertenece el documento. Para la validación del modelo se aplicaron las métricas de precisión y exhaustividad que permitieron comprobar que los resultados obtenidos son relevantes para los consumidores de la información(AU)

Correlates of Google Search Rankings for Spine Surgeons: An Analysis of Academic Pedigree, Social Media Presence, and Patient Ratings.

STUDY DESIGN: Prospective observational study. OBJECTIVE: The objective of this study is to identify correlates of search ranking among academic pedigree, online ratings, and social media following. SUMMARY OF BACKGROUND DATA: Patients increasingly rely on online search in selecting healthcare providers. When choosing a spine surgeon, patients typically value surgical skill and experience as well as demeanor/bedside manner. It is unclear whether current search engine ranking algorithms reflect these preferences. METHODS: A Google.com search for the top 25 spine surgeon websites by search ranking was conducted for each of the largest 25 American cities. Resulting websites were then perused for academic pedigree, experience, and practice characteristics. Surgeons' research output and impact were then quantified via number of publications and H-index. Online ratings and followers in various social media outlets were also noted. These variables were assessed as possible correlates of search ranking via linear regression and multivariate analyses of variance. RESULTS: A total of 625 surgeons were included. Three categorical variables were identified as significant correlates of higher mean Google search ranking-orthopedics (vs. neurosurgery) as a surgical specialty (P = 0.023), board certification (P = 0.024), and graduation from a top 40 residency program (P = 0.046). Although the majority of the identified surgeons received an allopathic medical education, there was no significant difference in the mean rank of surgeons who had an MD versus DO medical degree (P = 0.530). Additionally, none of the continuous variables collected, including years in practice (P = 0.947), publications (P = 0.527), H-index (P = 0.278), social media following such as on Facebook (P = 0.105), or online ratings such as on Healthgrades (P = 0.080), were significant correlates of Google search ranking. CONCLUSIONS: Google search rankings do not always align with patient preferences, currently promoting orthopedic over neurosurgical specialists, graduation from top residency programs, and board certification, while largely ignoring academic pedigree, research, social media presence, and online ratings. LEVEL OF EVIDENCE: 3.

Covid-19: Ministério da Saúde lança canal para atender população no WhatsApp

Ferramenta esclarece dúvidas, auxilia no diagnóstico, informa sobre rede de assistência e orienta profissionais de saúde

A synthetic peptide library for benchmarking crosslinking-mass spectrometry search engines for proteins and protein complexes.

Crosslinking-mass spectrometry (XL-MS) serves to identify interaction sites between proteins. Numerous search engines for crosslink identification exist, but lack of ground truth samples containing known crosslinks has precluded their systematic validation. Here we report on XL-MS data arising from measuring synthetic peptide libraries that provide the unique benefit of knowing which identified crosslinks are true and which are false. The data are analysed with the most frequently used search engines and the results filtered to an estimated false discovery rate of 5%. We find that the actual false crosslink identification rates range from 2.4 to 32%, depending on the analysis strategy employed. Furthermore, the use of MS-cleavable crosslinkers does not reduce the false discovery rate compared to non-cleavable crosslinkers. We anticipate that the datasets acquired during this research will further drive optimisation and development of XL-MS search engines, thereby advancing our understanding of vital biological interactions.

Search engines, cognitive biases and the man-computer interaction: a theoretical framework for empirical researches about cognitive biases in online search on health-related topics.

The widespread use of online search engines to answer the general public's needs for information has raised concerns about possible biases and the emerging of a 'filter bubble' in which users are isolated from attitude-discordant messages. Research is split between approaches that largely focus on the intrinsic limitations of search engines and approaches that investigate user search behavior. This work evaluates the findings and limitations of both approaches and advances a theoretical framework for empirical investigations of cognitive biases in online search activities about health-related topics. We aim to investigate the interaction between the user and the search engine as a whole. Online search activity about health-related topics is considered as a hypothesis-testing process. Two questions emerge: whether the retrieved information provided by the search engines are fit to fulfill their role as evidence, and whether the use of this information by users is cognitively and epistemologically valid and unbiased.