Don't judge a book or health app by its cover: User ratings and downloads are not linked to quality.

OBJECTIVE: To analyse the relationship between health app quality with user ratings and the number of downloads of corresponding health apps. MATERIALS AND METHODS: Utilising a dataset of 881 Android-based health apps, assessed via the 300-point objective Organisation for the Review of Care and Health Applications (ORCHA) assessment tool, we explored whether subjective user-level indicators of quality (user ratings and downloads) correlate with objective quality scores in the domains of user experience, data privacy and professional/clinical assurance. For this purpose, we applied spearman correlation and multiple linear regression models. RESULTS: For user experience, professional/clinical assurance and data privacy scores, all models had very low adjusted R squared values (< .02). Suggesting that there is no meaningful link between subjective user ratings or the number of health app downloads and objective quality measures. Spearman correlations suggested that prior downloads only had a very weak positive correlation with user experience scores (Spearman = .084, p = .012) and data privacy scores (Spearman = .088, p = .009). There was a very weak negative correlation between downloads and professional/clinical assurance score (Spearman = -.081, p = .016). Additionally, user ratings demonstrated a very weak correlation with no statistically significant correlations observed between user ratings and the scores (all p > 0.05). For ORCHA scores multiple linear regression had adjusted R-squared = -.002. CONCLUSION: This study highlights that widely available proxies which users may perceive to signify the quality of health apps, namely user ratings and downloads, are inaccurate predictors for estimating quality. This indicates the need for wider use of quality assurance methodologies which can accurately determine the quality, safety, and compliance of health apps. Findings suggest more should be done to enable users to recognise high-quality health apps, including digital health literacy training and the provision of nationally endorsed "libraries".

[The life and works of Li Shouxian, a medical doctor in the Qing Dynasty].

Li Shouxian, styled as Shanshu, was a medical doctor in the Qing Dynasty. His work Zhenjiu Yixue (Easy Study of Acupuncture and Moxibustion) has numerous versions, with the most refined one being the self-engraved edition from the third year of Jiaqing's reign, housed in the Jilin Province Library. While most content of the book was drawn from Zhenjiu Dacheng (Great Compendium of Acupuncture and Moxibustion), Li's condensation and arrangement of the material achieved the purpose of making it simple and easy to learn. The book has been widely spread and holds certain academic and historical value. This paper makes a textual research on Li's life, family, and his works, clarifies the content, structure and origin of the version of Zhenjiu Yixue and corrects errors in the version records of this book in the General Catalogue of Chinese Ancient Medical Books.

Caja de Herramientas de Objetivos de Desarrollo Sostenible – ODS en Bibliotecas

Material seleccionado y organizado que ayudará a orientarse en el proceso de planificación, identificación de responsabilidades y diseño de actividades para la implementación de los ODS en su Institución.

Interactive Images in Library Instruction: A Case Study.

This paper discusses the design and implementation of the H5P image hotspots and describes additional use cases for library instruction in order to teach learners from across the country on how different spaces can be used to create private, accessible areas where patrons can conduct telehealth appointments. The Network of the National Library of Medicine created an online class using H5P image hotspots to allow learners to virtually explore a physical space. The class used Moodle, an open-source learning platform, and H5P image hotspots to demonstrate how libraries implemented telehealth programs.

Facilitating rural access to quality health information through Little Free Libraries.

Background: In 2020 the Health Science Center Libraries (HSCL) at the University of Florida collaborated with the Okeechobee County Public library (OCPL) on their plan to install Little Free Libraries (LFLs) within their community. It was agreed that the HSCL would provide consumer health-related materials for the Little Free Libraries and training with the goal of improving health literacy, precision medicine, and increasing rural access to consumer health materials and services. Case Presentation: Using census data, the County Health Improvement Plan, and OCPL circulation data the team identified minority population groups, potential accessibility issues, and local consumer health information needs and barriers to select appropriate resources. Additionally, partnerships were created with the local Health Department, Parks and Recreation services, the Rotary Club, and other local organizations to make the project a success. A total of 424 books were selected for the LFLs and 40 unique online resources were selected, printed, and shipped to OCPL to be used during LFL reference sessions. Technology was purchased to assist OCPL with their planned community health reference outreach sessions. HSCL created and provided online training on facilitating consumer health outreach, conducting health information reference services, and promoting community engagement for OCPL. Discussion: LFLs have become an important resource for lower-income rural families in Okeechobee. There are 7 LFLs in Okeechobee County, with a goal of eventually establishing 15 total to provide vital health resources and books. Over 2,456 items have been circulated among the 7 LFLs since May 2020. Overall, the project has been successful with positive feedback received from the community and with OCPL planning to continue to expand the project.

COVID-19, health librarianship and the wider context.

In this second special collection of COVID-19-related manuscripts, our focus moves from health information within academia to health librarianship in the wider context. Although COVID-19 manuscripts may still occasionally appear in the Health Information and Libraries Journal, the World Health Organisation's declaration earlier this year of an end to the global health emergency marks an intentional editorial shift to adopting a broader perspective in publishing this type of work, a focus on public health information challenges and emergency preparedness, and a return to publishing a more familiar range of health library and information contexts and practice.

Consumer Health Information on Public Library Websites: Availability and Characteristics.

Consumers increasingly search for health information online but can become frustrated in their efforts. Here, public libraries can play an important role as trusted sources. A random sample of 200 U.S. public libraries was used to identify the availability of online consumer health information (CHI) and related characteristics. We found that 110 libraries provided online CHI. The average site provided 28 sources and required two clicks to reach the information. About a third of libraries collaborated by sharing sources or linking to existing content. Collaboration may provide a way to expand the availability and quality of online CHI on public library websites.

Information technology and changing role models in German libraries: The example of OPEN-CAM.

Germany has a long tradition of health libraries. From their origin in monasteries, they became centres of knowledge and education. In modern times, this tradition has been continued by the Central Library of Medicine. In addition, as a specialty in Germany, special collection areas and special libraries that focus on one topic were established. Those services were transformed to specialized information services and portals as part of the digital transformation process. One of such projects is OPEN-CAM, which provides literature on integrative medicine in a specialist library and hosts the literature database CAMbase. Based on this example, we show how digital transformation has influenced the library landscape and its structures in Germany.

Neuroprognostication value of serum neurofilament light chain for out-of-hospital cardiac arrest: A systematic review and meta-analysis.

BACKGROUND: Neurofilament light chain (NfL) is a novel biomarker for the assessment of neurological function after cardiac arrest (CA). Although meta-analysis has confirmed its predictive value, it has not conducted a more detailed analysis of its research. We conducted a meta-analysis to evaluate the relationship between serum NfL level and neurological prognosis in patients with spontaneous circulation recovery after CA, and subgroup analysis was conducted according to sample collection time, time to assess neurological function, study design, whether TTM was received, the method of specimen determination, and the presence of neurological disease in patients. To analyze the influence of these factors on the predictive value of serum NfL. METHODS: Published Cochrane reviews and an updated, extended search of MEDLINE, Cochrane Library, Embase, Scopus, ClinicalKey, CINAHL, and Web of Science for relevant studies until March 2022 were assessed through inclusion and exclusion criteria. The standard mean difference and 95% confidence interval were calculated using the random-effects model or fixed-effects model to assess the association between one variable factor NfL level and the outcome of CA patients. Subgroup analysis according to sample collection time was performed. The prognosis analysis and publication bias were also assessed using Egger's and Begg's tests. RESULTS: Among 1209 related articles for screening, 6 studies (1360 patients) met the inclusion criteria and were selected for meta-analysis. The level of serum NfL in the good prognosis group (CPC1-2, CPC: cerebral performance category score) was significantly lower than that in the poor prognosis group (CPC3-5)SMD(standardized mean difference) = 0.553, 95%CI(confidence interval) = 0.418-0.687, I2 = 65.5% P<0.05). And this relationship also exists at each sampling time point (NfL specimens were collected on admission: SMD:0.48,95%CI:0.24-0.73; Samples were collected 24 hours after CA: SMD:0.60,95%CI:0.32-0.88;Specimens were obtained 48 hours after CA: SMD:0.51, 95%CI:0.18-0.85;Specimens were obtained 72 hours after CA: SMD:0.59, 95%CI:0.38-0.81). CONCLUSION: NfL may play a potential neuroprognostication role in postcardiac arrest patients with spontaneous circulation, regardless of when the sample was collected after CA.

Comparative evaluation of 16S rRNA metagenomic sequencing in the diagnosis and understanding of bacterial endophthalmitis.

OBJECTIVE: To evaluate the usefulness of metagenomic analysis in the search for causative organisms of bacterial endophthalmitis. METHODS AND ANALYSIS: Twenty-one consecutive treatment-naïve patients (13 men and 8 women; mean age, 60.8±19.8 years) with suspected endophthalmitis were recruited. Vitrectomy was performed to diagnose and treat endophthalmitis. Bacterial culture and metagenomic analysis of the vitreous body were performed. Extracted DNA was analysed using 16S rRNA sequences, and libraries were sequenced on an Illumina MiSeq sequencer. To compare the bacterial composition in each case, α and ß diversities were determined. RESULTS: Patients were categorised into three groups: endophthalmitis cases with matching predominant organisms according to metagenomic analysis and bacterial culture, those with negative results for bacterial culture and those with negative results in both cases. In 7 of 15 culture-negative cases, results from metagenomic analysis could detect pathogens. The diversity of bacterial populations was significantly lower in the group with positive results for predominant bacteria according to culture and metagenomic analysis. All patients with uveitis were included in the group for which the causative pathogen could not be determined by culture or metagenomic analysis. The structures of bacterial populations significantly differed between the positive and negative groups by culture and metagenomic analysis. CONCLUSIONS: Metagenomic analysis could be useful for prompt detection of causative pathogens, for precise diagnosis of infection, and as a marker of inflammation processes such as uveitis.

Comparative efficacy of intraoperative radiotherapy and external boost irradiation in early-stage breast cancer: a systematic review and meta-analysis.

External boost radiotherapy (EBRT) and intraoperative radiotherapy (IORT) are shown to be effective in patients with early-stage breast cancer. However, the difference between IORT and EBRT for patients' prognosis remains to be elucidated. The purpose of this meta-analysis is to investigate differences in local recurrence (LR), distant metastases, disease free survival (DFS), and overall survival (OS) between these two therapies. We searched the Cochrane Library, PubMed, Web of Science and Embase, from inception to Jan 10th, 2022. We used The Cochrane risk-of-bias assessment tool to assess the risk of bias of the included studies, and the STATA15.0 tool was used for the meta-analyses. Eight studies were ultimately included. Meta-analysis demonstrated that there was an inconsistent finding in the long-term risk of LR between the two radiotherapies, and there was no significant difference in short-term risk of LR, the metastasis rate, DFS, and OS IORT would be more convenient, less time-consuming, less costly, and more effective at reducing side effects and toxicity. However, these benefits must be balanced against the potential for increased risk of LR in the long term.

cyjShiny: A cytoscape.js R Shiny Widget for network visualization and analysis.

cyjShiny is an open-source R package that allows users to embed network visualization into Shiny apps and R Markdown documents. cyjShiny (https://github.com/cytoscape/cyjShiny) builds on the cytoscape.js Javascript graph library. Additionally, the package provides helper functions to convert common R data representations (e.g., data.frame) into forms compatible with cytoscape.js.

College and university libraries and user responses to COVID-19 health information needs.

In the first of two special collections of COVID-19-related manuscripts, this issue focuses on how colleges and universities libraries and their users responded to the need for health information during the pandemic.

Medical libraries and their complicated past: an exploration of the historical connections between medical collections and racial science.

For over a millennium, libraries and library workers have advanced the knowledge of human science by building, preserving, and sharing collections and research. Historically, libraries have also aligned their institutional responsibilities to adhere to and support the values and virtues of oppressive and colonial practices. Library history has shown the mistreatments and denials of information access of marginalized groups. The history of libraries in the health and medical sciences reveals how these institutions and their workers have preserved and circulated research studies perpetuating racial science. This commentary highlights how such institutions shape and contribute to racial science in the field of medicine. By exploring the history of medicine through this lens, we examine how such institutions have been complicit in upholding racial science. We explore historical documents and archival collections that have been collected and preserved, particularly records and data of vulnerable groups, to advance the knowledge and understanding of the human body through the ideology of racial science. We argue that health and medical sciences librarians need to critically interrogate the racism in medical libraries and its history and address how health misinformation is common even in scholarly publications.

More than just pronouns - gender-neutral and inclusive language in patient education materials: suggestions for patient education librarians.

Trusted patient education materials are the backbone of an effective consumer health library. However, members of the LGBTQ+ community may not see themselves or their families reflected in many resources due to the gendered and non-inclusive language they are written in. This article outlines some suggestions for concrete actions that patient librarians can take to ensure that their materials are not excluding LGBTQ+ patients.

In search of health information .

Searching for health information is a core activity for health library and knowledge workers, whether seeking to support health care workers in overcoming barriers to accessing drug information, exploring the potential of text mining in developing search filters, translating search filters for use on alternative databases, or the importance of updating search filters to ensure their ongoing utility.

Diagnostic accuracy of the Copenhagen Index in ovarian malignancy: A meta-analysis.

OBJECTIVE: To assess the diagnostic value of the Copenhagen index for ovarian malignancy. METHODS: PubMed, Web of Science, the Cochrane Library, Embase, CBM, CNKI, and WanFang databases were searched throughout June 2021. Statistical analyses were performed using Stata 12, Meta-DiSc, and RevMan 5.3. The pooled sensitivity, specificity, and diagnostic odds ratio were calculated, the summary receiver operating characteristic curve was drawn, and the area under the curve was calculated. RESULTS: Ten articles, including 11 studies with a total of 5266 patients, were included. The pooled sensitivity, specificity, and diagnostic odds ratio were 0.82 [95% CI (0.80-0.83)], 0.88 [95% CI (0.87-0.89)], and 57.31 [95% CI (32.84-100.02)], respectively. The area under the summary receiver operating characteristics curve and the Q index were 0.9545 and 0.8966, respectively. CONCLUSION: Our systematic review shows that the sensitivity and specificity of the Copenhagen index are high enough for it to be used in a clinical setting to provide accurate ovarian cancer diagnosis without considering menopausal status.

Reference panel-guided super-resolution inference of Hi-C data.

MOTIVATION: Accurately assessing contacts between DNA fragments inside the nucleus with Hi-C experiment is crucial for understanding the role of 3D genome organization in gene regulation. This challenging task is due in part to the high sequencing depth of Hi-C libraries required to support high-resolution analyses. Most existing Hi-C data are collected with limited sequencing coverage, leading to poor chromatin interaction frequency estimation. Current computational approaches to enhance Hi-C signals focus on the analysis of individual Hi-C datasets of interest, without taking advantage of the facts that (i) several hundred Hi-C contact maps are publicly available and (ii) the vast majority of local spatial organizations are conserved across multiple cell types. RESULTS: Here, we present RefHiC-SR, an attention-based deep learning framework that uses a reference panel of Hi-C datasets to facilitate the enhancement of Hi-C data resolution of a given study sample. We compare RefHiC-SR against tools that do not use reference samples and find that RefHiC-SR outperforms other programs across different cell types, and sequencing depths. It also enables high-accuracy mapping of structures such as loops and topologically associating domains. AVAILABILITY AND IMPLEMENTATION: https://github.com/BlanchetteLab/RefHiC.