Making research and evaluation more useful and more interesting for information services and their users: A guide for students and practitioners.

Reflections on the recent increase in the number of cross-sectional surveys received by the editorial team of the journal indicated that potential contributors might consider other research techniques, in addition to, or instead of a survey. In this article, Christine Urquhart discusses some different research designs, and different research methods that may help students and practitioners find useful answers to questions about professional practice beyond the standard survey. Researchers could consider research designs such as quasi-experimental techniques, controlled before-after studies, and interrupted time series. The basic principles of such methods are outlined and some examples cited. Other research techniques outlined include those that research subjects might find more interesting to do, such as conjoint analysis and vignettes.

Medical library systems and services: Bangladesh scenario.

This study highlights the present status of medical libraries in Bangladesh. It mainly focuses on the four key areas of medical libraries: Medical Library Services, Research4Life from Bangladesh perspective, Institutional Repository (IR), and Library Automation status. The research study also explores the various key challenges faced by the medical libraries in Bangladesh and finally provides necessary recommendations like a sufficient library budget, implementation of  an Integrated Library System (ILS), skilled manpower, more participation in information networking and resource sharing, sound ICT environment, online collection development for the overall development of medical libraries in Bangladesh.

Coupled information networks drive honeybee (Apis mellifera) collective foraging.

Collective behaviour by eusocial insect colonies is typically achieved through multiple communication networks that produce complex behaviour at the group level but often appear to provide redundant or even competing information. A classic example occurs in honeybee (Apis mellifera) colonies, where both the dance communication system and robust scent-based mechanisms contribute to the allocation of a colony's workforce by regulating the flow of experienced foragers among known food sources. Here we analysed social connectivity patterns during the reactivation of experienced foragers to familiar feeding sites to show that these social information pathways are not simply multiple means to achieve the same end but intersect to play complementary roles in guiding forager behaviour. Using artificial feeding stations, we mimicked a natural scenario in which two forager groups were simultaneously collecting from distinct patches containing different flowering species. We then observed the reactivation of these groups at their familiar feeding sites after interrupting their foraging. Social network analysis revealed that temporarily unemployed individuals interacted more often and for longer with foragers that advertised a familiar versus unfamiliar foraging site. Due to such resource-based assortative mixing, network-based diffusion analysis estimated that reactivation events primarily resulted from interactions among bees that had been trained to the same feeding station and less so from different-feeder interactions. Both scent- and dance-based interactions strongly contributed to reactivation decisions. However, each bout of dance-following had an especially strong effect on a follower's likelihood of reactivation, particularly when dances indicated locations familiar to followers. Our findings illustrate how honeybee foragers can alter their social connectivity in ways that are likely to enhance collective outcomes by enabling foragers to rapidly access up-to-date information about familiar foraging sites. In addition, our results highlight how reliance on multiple communication mechanisms enables social insect workers to utilise flexible information-use strategies that are robust to variation in the availability of social information.

Methodological and users' surveys on the use of the LILACS database in Cochrane reviews identified desirable improvements to the database.

BACKGROUND: Latin American and Caribbean Health Sciences Literature (LILACS) is the main reference database in the region; however, the way in which this resource is used in Cochrane systematic reviews has not been studied. OBJECTIVES: To assess the search methods of Cochrane reviews that used LILACS as a source of information and explore the Cochrane community's perceptions about this resource. METHODS: We identified all Cochrane reviews of interventions published during 2019, which included LILACS as a source of information, and analysed their search methods and also ran a survey through the Cochrane Community. RESULTS: We found 133 Cochrane reviews that reported the full search strategies, identifying heterogeneity in search details. The respondents to our survey highlighted many areas for improvement in the use of LILACS, including the usability of the search platform for this purpose. DISCUSSION: The use and reporting of LILACS in Cochrane reviews demonstrate inconsistencies, as evidenced by the analysis of search reports from systematic reviews and surveys conducted among members of the Cochrane community. CONCLUSION: With better guidance on how LILACS database is structured, information specialists working on Cochrane reviews should be able to make more effective use of this unique resource.

Development of a job-exposure matrix-like exposure assessment method for the US general population based on Occupational Information Network (O*NET) job tasks.

BACKGROUND: Job-exposure matrices (JEMs) are often used for exposure assessment in occupational exposure and epidemiology studies. However, general population JEMs are difficult to find and access for workers in the United States of America. OBJECTIVE: We aimed to use publicly available information to develop a JEM-like exposure assessment method to determine exposure to a wide range of occupational agents in a wide range of occupations for US general population studies. METHODS: We used information from the US Department of Labor's Occupational Information Network database (O*NET) for 19,636 job tasks and 974 civilian occupations. We used automated keyword searches to identify 1,804 job tasks that involved exposure to 50 occupational agents. We had 2 reviewers determine whether each identified job task actually involved exposure to the 50 occupational agents. We had a third reviewer, a certified industrial hygienist, assess any job task and exposure for which the first 2 reviewers disagreed. For each U.S. Census 2010 occupation code, we used this information to derive 3 exposure variables for each occupational agent: ever exposure, number of job tasks of exposure, and frequency of exposure. RESULTS: Our keyword searches identified a median of 10 (interquartile range [IQR]: 43.75) job tasks for each occupational agent, and the maximum was 308. We determined job tasks actually involved exposure to 45 occupational agents, including solvents, air pollution, pesticides, radiation, metals, etc. We derived the 3 exposure variables for these 45 occupational agents for 516 U.S. Census 2010 occupation codes. The median percentage for ever exposure to individual occupational agents was 1.16% (IQR: 1.74%), and the maximum was 11.43%. CONCLUSIONS: Our JEM-like exposure assessment method based on O*NET information can be used to determine exposure to a wide range of occupational agents in a wide range of occupations for the US general population.

Digital Medical Information Services Delivered by Pharmaceutical Companies via WeChat: Qualitative Analytical Study.

BACKGROUND: Social media has become one of the primary information sources for medical professionals and patients. Pharmaceutical companies are committed to using various social media platforms to provide stakeholders with digital medical information services (DMISs), which remain experimental and immature. In China, WeChat tops the list of popular social media platforms. To date, little is known about the service model of DMISs delivered by pharmaceutical companies via WeChat. OBJECTIVE: This study aims to explore the emerging service model of DMISs delivered by pharmaceutical companies via WeChat in China. METHODS: This study applied a qualitative research design combining case study and documentary analysis to explore the DMISs of 6 leading pharmaceutical companies in China. Materials were collected from their official WeChat platforms. Thematic analysis was conducted on the data. RESULTS: The DMISs of 6 pharmaceutical companies were investigated. Themes emerged regarding 2 essential information services delivered by pharmaceutical companies via WeChat: business operation services and DMISs (ie, public information services, professional services, science and education services, and e-commerce services). Business operation services mainly function to assist or facilitate the company's operations and development trends for general visitors. Public-oriented information services are realized through health science popularization, academic frontiers, product information, and road maps to hospitals and pharmacies. Internet hospital and pharmacy services are the main patient-oriented professional services. Medical staff-oriented science and education services commonly include continuing education, clinical assistance, academic research, and journal searching. Public-oriented e-commerce services include health products and health insurance. CONCLUSIONS: Pharmaceutical companies in China use WeChat to provide stakeholders with diversified DMISs, which remain in the exploratory stage. The service model of DMISs requires more distinct innovations to provide personalized digital health and patient-centric services. Moreover, specific regulations on the DMISs of pharmaceutical companies need to be established to guard public health interests.

Drug-disease association prediction using semantic graph and function similarity representation learning over heterogeneous information networks.

Discovering new indications for existing drugs is a promising development strategy at various stages of drug research and development. However, most of them complete their tasks by constructing a variety of heterogeneous networks without considering available higher-order connectivity patterns in heterogeneous biological information networks, which are believed to be useful for improving the accuracy of new drug discovering. To this end, we propose a computational-based model, called SFRLDDA, for drug-disease association prediction by using semantic graph and function similarity representation learning. Specifically, SFRLDDA first integrates a heterogeneous information network (HIN) by drug-disease, drug-protein, protein-disease associations, and their biological knowledge. Second, different representation learning strategies are applied to obtain the feature representations of drugs and diseases from different perspectives over semantic graph and function similarity graphs constructed, respectively. At last, a Random Forest classifier is incorporated by SFRLDDA to discover potential drug-disease associations (DDAs). Experimental results demonstrate that SFRLDDA yields a best performance when compared with other state-of-the-art models on three benchmark datasets. Moreover, case studies also indicate that the simultaneous consideration of semantic graph and function similarity of drugs and diseases in the HIN allows SFRLDDA to precisely predict DDAs in a more comprehensive manner.

SuperMap-Based Research on the Spread Situation and Visual Monitoring Platform of Major Health Events.

To present information on infectious diseases caused by viruses clearly and track the changes of data in real-time, data visualization can be used preferentially considering that it can identify problems behind data accurately. In this paper, based on the SuperMap Online platform and Tianditu, a national platform for common geospatial information services, a risk level map of infectious diseases distribution area is made by Web GIS and cartography. Meanwhile, the platform plays an important role in information collection, management, analysis, prevention and control, and release of measures when a major health event spreads. The method shows many advantages, such as various visualization means, ease to be published and shared, simple operation, and programming realization, which may be taken as technical references for solving the same type of visualization application problems. The research also facilitates the data visualization and monitoring of the spread of infectious diseases in major health events, and can effectively provide services for monitoring, decision-making, dispatching, and handling the spread of infectious diseases.

Bibliotecas de la Universidad de la República (BiUR): reserva y cancelación

Tutorial sobre el procedimiento para la reserva de materiales y la cancelación de la misma en la base bibliográfica BiUR (base unificada de los catálogos de la Universidad de la República).

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.

Concordance between 8-1-1 HealthLink BC Emergency iDoctor-in-assistance (HEiDi) virtual physician advice and subsequent health service utilization for callers to a nurse-managed provincial health information telephone service.

BACKGROUND: British Columbia 8-1-1 callers who are advised by a nurse to seek urgent medical care can be referred to virtual physicians (VPs) for supplemental assessment and advice. Prior research indicates callers' subsequent health service use may diverge from VP advice. We sought to 1) estimate concordance between VP advice and subsequent health service use, and 2) identify factors associated with concordance to understand potential drivers of discordant cases. METHODS: We linked relevant provincial administrative databases to obtain inpatient, outpatient, and emergency service use by callers. We developed operational definitions of concordance collaboratively with researcher, patient, VP, and management perspectives. We used Kaplan-Meier curves to describe health service use post-VP consultation and Cox regression to estimate the association of caller factors (rurality, demography, attachment to primary care) and call factors (reason, triage level, time of day) with concordance as hazard ratios. RESULTS: We analyzed 17,188 calls from November 16, 2020 to April 30, 2021. Callers advised to attend an emergency department (ED) immediately were the most concordant (73%) while concordance was lowest for those advised to seek Family Physician (FP) care either immediately (41%) or within 7 days (47%). Callers unattached to FPs were less likely to schedule an FP visit (hazard ratio = 0.76 [95%CI: 0.68-0.85]). Rural callers were less likely to attend an ED within 48 h when advised to go immediately (0.53 [95%CI:0.46-0.61]) compared to urban callers. Rural callers advised to see an FP, either immediately (1.28 [95%CI:1.01-1.62]) or within 7 days (1.23 [95%CI: 1.11-1.37]), were more likely to do so than urban callers. INTERPRETATION: Concordance between VP advice and subsequent caller health service use varies substantially by category of advice and caller rurality. Concordance with advice to "Go to ED" is high overall but to access primary care is below 50%, suggesting potential issues with timely access to FP care. Future research from a patient/caller centered perspective may reveal additional barriers and facilitators to concordance.

[Digital personalized health information services from physicians: survey results of patients' and physicians' acceptance and expectations]. / Digitale, personalisierte Gesundheitsinformationsangebote von Ärzt*innen: Ergebnisse einer Befragung von Patient*innen und Ärzt*innen zu Akzeptanz und Anforderungen.

BACKGROUND: The acquisition of health information is fundamental for patient empowerment. In order to support this, new ways of providing information must be found. In this article, the digital personalized provision of health information by physicians as well as the intended use and requirements of patients and physicians are examined. METHODS: An online survey of a sample of patients stratified for the German population (N = 1,000) and an online survey of physicians (N = 364) on the subject of digital personalized health information services were conducted. The type of information provision in the medical setting, the intention to use it, and the requirements for digital information services were assessed. RESULTS: Digital personalized information services are still rare. However, patients would support such a service, while physicians are more skeptical. Patients value usability and information quality. With regard to the form of presentation, texts tend to be rated more important than videos. For physicians, on the other hand, it is important that the service comes from a trustworthy provider, complies with guidelines, and is free of charge. DISCUSSION: The potential of the digital transformation of information provision has so far only been utilized to a limited extent. While the basis for successful implementation seems to be given among patients, physicians still need to overcome their reservations, the benefits of such services need to be communicated, and systemic incentives must be created.

Chronic kidney disease and nephrological practices in France: lessons from the CKD-REIN cohort, 2013-2023 / Maladie rénale chronique et pratiques néphrologiques en France : leçons de la cohorte CKD-REIN, 2013-2023

Launched in 2013 supported by the Program "Cohorts ­ Investments for the Future", the CKD-REIN (Chronic Kidney Disease ­ Renal Epidemiology and Information Network) study is a prospective cohort that included and followed for 5 years more than 3000 patients with moderate or advanced chronic kidney disease (CKD), from 40 nationally representative nephrology clinics. A large amount of data was collected on CKD and its treatments, patient social characteristics and reported outcomes, and nephrology practices and services. A total of 170,000 blood and urine samples were collected and stored in a central biobank. Coordinated with the CKD outcomes and practice pattern study (CKDopps) and collaborating with the international Network of CKD cohorts (iNETCKD), CKD-REIN contributes to the understanding of CKD and the positioning of France with respect to CKD epidemiology and care in the world. This review highlights major findings from the cohort, and their potential implications for clinical practices and the health system, grouped into the following themes: (1) the complexity of patients with CKD; (2) adherence to clinical guidelines; (3) treatment practices and drug risk; (4) acute on chronic kidney disease; (5) CKD metabolic complications; (6) prediction of kidney failure; (7) sex differences in CKD; (8) patient perspective on CKD; (9) transition to kidney failure and replacement therapy; (10) conservative care.

Lancée en 2013 grâce au Programme « Cohortes ­ Investissements d'Avenir ¼, l'étude CKD-REIN (Chronic Kidney Disease ­ Renal Epidemiology and Information Network) est une cohorte prospective qui a inclus et suivi pendant cinq ans plus de 3 000 patients avec une maladie rénale chronique (MRC) modérée ou avancée, dans 40 consultations de néphrologie, représentatives nationalement. Un grand nombre de données ont été collectées sur la MRC et ses traitements, les caractéristiques sociales et la santé perçue des patients, les pratiques et l'organisation des services de néphrologie. Une biothèque de 170 000 échantillons de sang et d'urine a été constituée et stockée dans une biobanque centrale. Coordonnée avec l'étude Chronic Kidney Disease outcomes and practice pattern study (CKDopps) et collaborant avec l'International Network of CKD cohorts (iNET-CKD), CKD-REIN contribue à l'avancée des connaissances et au positionnement de la France dans le domaine de l'épidémiologie de la MRC et des pratiques dans le monde. Cette revue fait le point des faits marquants de la cohorte, et de leur implication potentielle pour la clinique et le système de santé, regroupés par thème : (1) la complexité des patients avec une MRC ; (2) l'adhésion aux recommandations cliniques ; (3) les pratiques thérapeutiques et le risque médicamenteux ; (4) l'insuffisance rénale aiguë dans la MRC ; (5) l'évolution des complications métaboliques ; (6) la prédiction de la défaillance rénale ; (7) les différences hommes-femmes ; (8) le point de vue des patients sur la MRC ; (9) la transition vers la défaillance rénale et le traitement de suppléance ; (10) le traitement conservateur.

Technological trends in Swedish medical libraries.

Medical libraries in Sweden are digitised to a large extent, technically advanced and developing rapidly. This paper investigates technological trends among Swedish medical libraries in the near and distant future and their application within different areas of library activities. The authors also present a roadmap to increase technological developments within medical libraries in Sweden. Current technological trends include digital collaboration tools, mobile technologies and visualisation. Artificial intelligence, big data and smart technologies are upcoming trends. Technologies are applied within all areas of library activities, but preconditions for academic and hospital libraries differ. To remain a relevant provider of information services, libraries must be able to monitor, test and adopt new technologies.

Domains of professional practice: analysis of publications in the Journal of the Medical Library Association from 2010 to 2019.

The Medical Library Association (MLA) has defined 7 domain hubs aligning to different areas of information professional practice. To assess the extent to which content in the Journal of the Medical Library Association (JMLA) is reflective of these domains, we analyzed the magnitude of JMLA articles aligning to each domain hub over the last 10 years. Bibliographic records for 453 articles published in JMLA from 2010 to 2019 were downloaded from Web of Science and screened using Covidence software. Thirteen articles were excluded during the title and abstract review because they failed to meet the inclusion criteria, resulting in 440 articles included in this review. The title and abstract of each article were screened by two reviewers, each of whom assigned the article up to two tags corresponding to MLA domain hubs (i.e., information services, information management, education, professionalism and leadership, innovation and research practice, clinical support, and health equity & global health). These results inform the MLA community about our strengths in health information professional practice as reflected by articles published in JMLA.

Involvement of information specialists and statisticians in systematic reviews.

BACKGROUND: Systematic reviews (SRs) are usually conducted by a highly specialized group of researchers. The routine involvement of methodological experts is a core methodological recommendation. The present commentary describes the qualifications required for information specialists and statisticians involved in SRs, as well as their tasks, the methodological challenges they face, and potential future areas of involvement. TASKS AND QUALIFICATIONS: Information specialists select the information sources, develop search strategies, conduct the searches, and report the results. Statisticians select the methods for evidence synthesis, assess the risk of bias, and interpret the results. The minimum requirements for their involvement in SRs are a suitable university degree (e.g., in statistics or librarian/information science or an equivalent degree), methodological and content expertise, and several years of experience. KEY ARGUMENTS: The complexity of conducting SRs has greatly increased due to a massive rise in the amount of available evidence and the number and complexity of SR methods, largely statistical and information retrieval methods. Additional challenges exist in the actual conduct of an SR, such as judging how complex the research question could become and what hurdles could arise during the course of the project. CONCLUSION: SRs are becoming more and more complex to conduct and information specialists and statisticians should routinely be involved right from the start of the SR. This increases the trustworthiness of SRs as the basis for reliable, unbiased and reproducible health policy, and clinical decision making.

Using technology to promote the development of health science libraries in China.

From the point of view of the development of libraries, technology has made possible the emergence and development of library automation; digital libraries; mobile libraries; and smart libraries. This article briefly describes the impact of technological developments and application in Health Science Libraries in China in relation to collections development, service provision and the role of library associations.

Using a six-step co-design model to rapidly respond to cancer carers support and information needs during a global pandemic.

OBJECTIVES: The COVID-19 pandemic placed severe strain on cancer carers resulting in an urgent need for information and support. METHODS: The Santin 2019 6-step co-design model was used to rapidly modify an existing online cancer carers resource. Draft content of a COVID-19 module was created via two workshops and six meetings with an expert advisory team (Step 1). This content was then produced into videoed testimonials (Step 2). A module prototype was reviewed by volunteers (Step 3) and modified based on feedback (Step 4). User-testing occurred via two online feedback sessions (Step 5) and modifications were made (Step 6). All steps were audio recorded, transcribed verbatim and analysed thematically. RESULTS: A COVID-19 support, and information module was rapidly co-designed by n = 45 stakeholders (n = 11 workshop 1 and 2 (3 carers/14 professionals), n = 6 advisory committee (1 carer/5 professionals), n = 4 video content (1 carer/3 professionals) and n = 24 feedback sessions (5 carers/19 professionals). The module contained vaccination information, infection control and how to manage the psychosocial impact of restrictions. Information was delivered in 4 short videos with links to up-to-date guidance and information services. Participants identified that the module included all key information for carers in an accessible and informative way. The use of videos was viewed as an emotive and reassuring. CONCLUSIONS: During a global pandemic, cancer carers urgently required tailored information. Co-designed online resources allow service providers to rapidly respond to emerging and unprecedented issues and provide urgent information and support.

Why do researchers co-author evidence syntheses with librarians? A mixed-methods study.

Librarians and information specialists are experts in designing comprehensive literature searches, such as those needed for Evidence Syntheses (ES). The contributions of these professionals to ES research teams have several documented benefits, especially when they collaborate on the project. However, librarian co-authorship is relatively rare. This study explores researcher motivations for working with librarians at the co-author level through a mixed methods design. Interviews with researchers identified 20 potential motivations that were then tested through an online questionnaire sent to authors of recently published ES. Consistent with previous findings, most respondents did not have a librarian co-author on their ES, though 16% acknowledged one in their manuscript and 10% consulted one but did not document the contribution. Search expertise was the most common motivation both to and not to co-author with librarians. Those that had or were interested in co-authoring stated that they wanted the librarians' search expertise, while those who had not or were not interested stated that they already had the necessary search expertise. Researchers who were motivated by methodological expertise and availability were more likely to have co-authored their ES with a librarian. No motivations were negatively associated with librarian co-authorship. These findings provide an overview of the motivations that influence researchers to bring a librarian into an ES investigatory team. More research is needed to substantiate the validity of these motivations.

Building an annotated corpus for automatic metadata extraction from multilingual journal article references.

Bibliographic references containing citation information of academic literature play an important role as a medium connecting earlier and recent studies. As references contain machine-readable metadata such as author name, title, or publication year, they have been widely used in the field of citation information services including search services for scholarly information and research trend analysis. Many institutions around the world manually extract and continuously accumulate reference metadata to provide various scholarly services. However, manually collection of reference metadata every year continues to be a burden because of the associated cost and time consumption. With the accumulation of a large volume of academic literature, several tools, including GROBID and CERMINE, that automatically extract reference metadata have been released. However, these tools have some limitations. For example, they are only applicable to references written in English, the types of extractable metadata are limited for each tool, and the performance of the tools is insufficient to replace the manual extraction of reference metadata. Therefore, in this study, we focused on constructing a high-quality corpus to automatically extract metadata from multilingual journal article references. Using our constructed corpus, we trained and evaluated a BERT-based transfer-learning model. Furthermore, we compared the performance of the BERT-based model with that of the existing model, GROBID. Currently, our corpus contains 3,815,987 multilingual references, mainly in English and Korean, with labels for 13 different metadata types. According to our experiment, the BERT-based model trained using our corpus showed excellent performance in extracting metadata not only from journal references written in English but also in other languages, particularly Korean. This corpus is available at http://doi.org/10.23057/47.