{"title":"To Weed or to Keep: A Renovation-Driven Weeding Project of the Health Sciences Library Reference Collection with a Focus on the Last Institutional Copies - A Case Study.","authors":"Maria Deptula","doi":"10.1080/02763869.2025.2453718","DOIUrl":"https://doi.org/10.1080/02763869.2025.2453718","url":null,"abstract":"<p><p>The weeding project of the George F. Smith Library Reference Collection was undertaken due to anticipated space reconfiguration. With no place to relocate the reference books, the librarians eliminated the reference books from the area selected for redesign by discarding material or interfiling it with the circulating collection. Only a small portion of the \"last copy monographs\" collection was selected for retention and preservation. This case study presents an analysis of a one-time comprehensive project to free up space, dispose of obsolete material, and demonstrate what went behind the decisions to discard, interfile, or preserve the \"last institutional copies\" of monographs.</p>","PeriodicalId":39720,"journal":{"name":"Medical Reference Services Quarterly","volume":" ","pages":"1-21"},"PeriodicalIF":0.0,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143012569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lauren E Robinson, B Reeder, S Henderson, C M Robinson
{"title":"A Catalyst to Better Searching: Tackling Health Inequities with a Novel Interactive eResource.","authors":"Lauren E Robinson, B Reeder, S Henderson, C M Robinson","doi":"10.1080/02763869.2024.2448344","DOIUrl":"https://doi.org/10.1080/02763869.2024.2448344","url":null,"abstract":"<p><p>This paper describes a web-based resource that aims to improve health disparities research by providing guidance and tools for searching and evaluating information on vulnerable populations. The resource integrates electronic books on equity, diversity, and inclusion with interactive tutorials and modules teaching users to formulate research questions, select appropriate search terms, and appraise their searches. The resource also addresses the issue of biased and outdated searching terminology and offers alternative strategies for finding literature. The paper explains the rationale, design, and development process of the resource, as well as its potential benefits and challenges for health disparities researchers and educators.</p>","PeriodicalId":39720,"journal":{"name":"Medical Reference Services Quarterly","volume":" ","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142972587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Assessing the Quality of Biomedical Boolean Search Strings Generated by Prompted and Unprompted Models Using ChatGPT: A Pilot Study.","authors":"Robyn B Reed, Derek J Barnett","doi":"10.1080/02763869.2024.2440848","DOIUrl":"https://doi.org/10.1080/02763869.2024.2440848","url":null,"abstract":"<p><p>This pilot study investigated the use of Generative AI using ChatGPT to produce Boolean search strings to query PubMed. The goals were to determine if ChatGPT could be used in search string formation and if so, which approach was most effective. Research outputs from published systematic reviews were compared to outputs from AI generated search strings. While moderate overlap in publication retrieval between published and AI generated search strings was noted, the numbers were not sufficient to completely replicate published search strings and little difference was observed between prompted and unprompted GPT in using ChatGPT.</p>","PeriodicalId":39720,"journal":{"name":"Medical Reference Services Quarterly","volume":" ","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142847720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ali Afraz, Mohammadreza Chashmyazdan, Reza Khajouei, Zohreh Bagherinezhad
{"title":"Literature Searches in Medical Informatics Systematic Reviews: Suggested Approaches.","authors":"Ali Afraz, Mohammadreza Chashmyazdan, Reza Khajouei, Zohreh Bagherinezhad","doi":"10.1080/02763869.2024.2429066","DOIUrl":"https://doi.org/10.1080/02763869.2024.2429066","url":null,"abstract":"<p><p>This study explores database selection for systematic reviews in medical informatics, addressing challenges researchers face in maximizing relevant article retrieval. Systematic reviews from top medical informatics journals in 2021 were analyzed, divided into randomized control trials and non-randomized control trials groups. Four databases were evaluated based on Recall, Precision, and Unique references. Findings revealed that for randomized control trials, the best combination was PubMed, Embase, and Web of Science, while for the non-restricted group, recommended combination included PubMed, Embase, Web of Science, and Scopus, highlighting effective literature search strategies.</p>","PeriodicalId":39720,"journal":{"name":"Medical Reference Services Quarterly","volume":" ","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142677143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Resilience Practices in Health Science and Medical Libraries During the Early Stages of the COVID-19 Pandemic.","authors":"Justin F Gaynor","doi":"10.1080/02763869.2024.2420045","DOIUrl":"https://doi.org/10.1080/02763869.2024.2420045","url":null,"abstract":"<p><p>This paper uses the concept of resilience engineering as an organizing principle to discuss best practices that evolved within health science/medical libraries in the United States during COVID-19 crisis, focusing on the period March - August 2020. Protection of library staff, assistance to medical staff, reducing the circulation of misinformation and public health consumerism all required substantial changes to standard processes. These process changes had to arise in the context of both physical isolation and information overload. Some practices became widespread due to their utility, and these are the focus of this report.</p>","PeriodicalId":39720,"journal":{"name":"Medical Reference Services Quarterly","volume":" ","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142548162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Priscilla L Stephenson, Edward J Poletti, Nancy A Clark
{"title":"Library Value Studies in Veterans Health Administration Hospitals, 2010-2023.","authors":"Priscilla L Stephenson, Edward J Poletti, Nancy A Clark","doi":"10.1080/02763869.2024.2408990","DOIUrl":"10.1080/02763869.2024.2408990","url":null,"abstract":"<p><p>Veterans Health Administration (VHA) hospital libraries provide research to support and improve patient care and health outcomes. This report reviews and compares the results of a series of 6 studies conducted between 2010 and 2023 by Veterans Health Administration (VHA) hospital libraries to evaluate the information patrons received from their libraries in response to reference requests. The results found that the libraries' reference responses were relevant and timely and had a positive effect on patient care while saving staff time.</p>","PeriodicalId":39720,"journal":{"name":"Medical Reference Services Quarterly","volume":"43 4","pages":"316-325"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142569976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Trends in Health Insurance Literacy and Consumer Health Resources.","authors":"Emily Vardell","doi":"10.1080/02763869.2024.2405441","DOIUrl":"10.1080/02763869.2024.2405441","url":null,"abstract":"<p><p>Librarians are uniquely poised to address the need for connecting individuals to health insurance information resources that are credible, as bias-free as possible, and written with literacy considerations in mind. This article explores health insurance outreach in libraries and presents a thorough list of vetted consumer resources on health insurance information. Each health insurance information resource is assessed, and connections are made to how the resources can be used in practice. This article aims to empower librarians to guide people to reliable health insurance information.</p>","PeriodicalId":39720,"journal":{"name":"Medical Reference Services Quarterly","volume":"43 4","pages":"306-315"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142570015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The National Library of Medicine (NLM) Learning Resources Database.","authors":"Katherine B Majewski, Jessi Van Der Volgen","doi":"10.1080/02763869.2024.2414129","DOIUrl":"10.1080/02763869.2024.2414129","url":null,"abstract":"<p><p>The National Library of Medicine (NLM) Learning Resources Database provides access to more than 500 educational resources on NLM products and services, including videos, webinars, and tutorials. The database includes resources designed primarily for librarians, health educators, researchers, and clinicians, for finding biomedical literature, research data, chemical, and genetic information. You can search by keyword, subject, language, and audience, and access materials directly or download them for reuse. Resources are reviewed at least annually, and mos.t materials are in the public domain. Features of the site include interactive search options, topic guides, and upcoming training events. NLM also offers API access for integrating resources into other websites.</p>","PeriodicalId":39720,"journal":{"name":"Medical Reference Services Quarterly","volume":"43 4","pages":"326-334"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11537492/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142569988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Incorporating Generative AI to Promote Inquiry-Based Learning: Comparing Elicit AI Research Assistant to PubMed and CINAHL Complete.","authors":"Rachel F Fenske, Jo Ann A Otts","doi":"10.1080/02763869.2024.2403272","DOIUrl":"10.1080/02763869.2024.2403272","url":null,"abstract":"<p><p>Generative artificial intelligence (GenAI) is transforming education, and faculty can either incorporate GenAI in intentional course design to promote inquiry-based learning (IBL) or resist its use. This study identified an effective strategy to intentionally integrate GenAI in the course design to promote IBL. A descriptive study design was used for graduate nursing students to compare the effectiveness of a GenAI literature search tool, Elicit: The AI Research Assistant, to PubMed and CINAHL. A two-phase framework was utilized to organize complex information and justify a preference. A rubric was designed to promote and assess critical thinking through IBL in educating graduate nursing students on information literacy and structuring a literature search. Discovering a relationship between the search tools, students identified the strengths (pros) and weaknesses (cons) of each tool and determined which tool was more effective in terms of accuracy, relevance and efficiency.</p>","PeriodicalId":39720,"journal":{"name":"Medical Reference Services Quarterly","volume":"43 4","pages":"292-305"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142569973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sophie Nachman, Luke Barron, Terri Ottosen, Hannah Burrows, Emily P Jones, Elizabeth Moreton
{"title":"Translation of Systematic Review LibGuide Content Using Plain Language and Scientific Writing Best Practices.","authors":"Sophie Nachman, Luke Barron, Terri Ottosen, Hannah Burrows, Emily P Jones, Elizabeth Moreton","doi":"10.1080/02763869.2024.2395228","DOIUrl":"10.1080/02763869.2024.2395228","url":null,"abstract":"<p><p>This report describes the incorporation of plain language and scientific communication best practices to supplement and simplify complex terminology and processes described on a highly utilized Systematic Review LibGuide. Guide content was evaluated pre- and post-revision using established metrics for readability, understandability, and actionability. The quality improvement process described in this report is accessible and feasible for other librarians to complete. Regardless of topic, if LibGuides are publicly available, it is important to ensure content is understandable by users, no matter their background or expertise, to ensure equitable access of information.</p>","PeriodicalId":39720,"journal":{"name":"Medical Reference Services Quarterly","volume":"43 4","pages":"279-291"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142569934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}