Journal of the Medical Library Association最新文献_第2页

Beyond database training: reconceptualizing information literacy and reading competence as a shared cognitive architecture in medical education. 超越数据库训练：将信息素养和阅读能力重新定义为医学教育中的共享认知架构。

IF 1.7 4区医学

Journal of the Medical Library Association Pub Date : 2026-10-01 Epub Date: 2026-10-14 DOI: 10.5195/jmla.2026.2385

Mercedes Byrd, James K Martin, Alexis Karas

{"title":"Beyond database training: reconceptualizing information literacy and reading competence as a shared cognitive architecture in medical education.","authors":"Mercedes Byrd, James K Martin, Alexis Karas","doi":"10.5195/jmla.2026.2385","DOIUrl":"10.5195/jmla.2026.2385","url":null,"abstract":"Medical librarians have long observed that medical students who struggle with reading complex textbooks also demonstrate weak information literacy skills. For decades, these have been treated as separate problems requiring separate solutions-offering reading workshops and database training sessions with limited lasting impact. This commentary proposes a reconceptualization: textbook literacy and information literacy are not sequential competencies but rather parallel manifestations of the same underlying cognitive architecture. Drawing on research in medical education, cognitive psychology, and educational neuroscience, this commentary argues that both literacies depend on three interconnected cognitive capacities: metacognitive self-regulation, working memory management, and epistemic sophistication. Understanding this shared foundation has profound implications for how health sciences librarians design interventions, plan instruction, and position themselves as essential contributors to medical education. This commentary presents a framework and outlines practical implications for library instruction, assessment, and collaboration with medical educators.","PeriodicalId":47690,"journal":{"name":"Journal of the Medical Library Association","volume":"114 4","pages":"499-507"},"PeriodicalIF":1.7,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13670235/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149216906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The All of Us dataset in scientific research: a bibliometric study of its utilization through 2024. 科学研究中的我们所有人数据集：到2024年其利用的文献计量学研究。

IF 1.7 4区医学

Journal of the Medical Library Association Pub Date : 2026-10-01 Epub Date: 2026-10-14 DOI: 10.5195/jmla.2026.2346

Yuqi He, Abrielle Spaletta

{"title":"The All of Us dataset in scientific research: a bibliometric study of its utilization through 2024.","authors":"Yuqi He, Abrielle Spaletta","doi":"10.5195/jmla.2026.2346","DOIUrl":"10.5195/jmla.2026.2346","url":null,"abstract":"Objective: This study presents a comprehensive bibliometric analysis of research publications utilizing the All of Us Research Program dataset to characterize publication trends, collaboration networks, key research topics, and compliance with All of Us publication and presentation policies through December 2024.Methods: A total of 561 publication titles were collected from the All of Us Publications Directory. Titles were then searched across Web of Science (WoS), Scopus, and PubMed, with WoS (475 publications identified) selected as the primary source for analysis. Productivity metrics, including publication growth, journal distribution, author productivity, and word frequency, were analyzed using Biblioshiny. Co-authorship and keyword co-occurrence networks were visualized in VOSviewer to reveal collaboration structures and emerging research themes.Results: Among the 475 analyzed publications, 2,803 authors were identified across 211 journals. The annual number of All of Us publications increased by 82.45% from 2015 to 2024. Major research themes included epidemiology, chronic conditions, genomics, and health disparities, with dermatology emerging as a particularly active area. Network analysis revealed strong intra-institutional ties and some cross-institutional collaborations, primarily among R1 universities.Conclusions: This bibliometric study demonstrates a rapid rise in scholarly activity leveraging the All of Us dataset, characterized by concentrated author and institutional engagement. These findings highlight both the growing impact of the All of Us dataset and opportunities to foster broader collaborations and diversify participation across the research community.","PeriodicalId":47690,"journal":{"name":"Journal of the Medical Library Association","volume":"114 4","pages":"343-358"},"PeriodicalIF":1.7,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13670216/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149217130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pharmacist resource use across the United States: implications for teaching and practice. 美国药剂师资源的使用：对教学和实践的影响。

IF 1.7 4区医学

Journal of the Medical Library Association Pub Date : 2026-10-01 Epub Date: 2026-10-14 DOI: 10.5195/jmla.2026.2424

Rachel Whitney, Hilary Jasmin, Christopher Alan Giuliano, Audrey Banner Kostrzewa, Melissa Hunter, Christopher S Wisniewski, Emily F Gorman

{"title":"Pharmacist resource use across the United States: implications for teaching and practice.","authors":"Rachel Whitney, Hilary Jasmin, Christopher Alan Giuliano, Audrey Banner Kostrzewa, Melissa Hunter, Christopher S Wisniewski, Emily F Gorman","doi":"10.5195/jmla.2026.2424","DOIUrl":"10.5195/jmla.2026.2424","url":null,"abstract":"Objective: To analyze practicing pharmacists' use of drug information (DI) resources in the United States.Methods: An electronic survey was distributed to practicing US pharmacists through professional organization email lists and social media. The survey questionnaire asked respondents which subscription-based DI resources are provided through their employer, whether they personally pay for additional resources, how often they use subscription-based resources, and other related questions.Results: The survey received 430 responses, 387 of which were able to be fully analyzed. The resources that respondents most frequently had access to through their employer were UpToDate (77.0%), Lexicomp (74.9%), and Micromedex (62.3%). Many respondents (40.8%) paid for subscriptions with personal funds, and 28.9% reported never experiencing access issues due to payment barriers. Respondents in community settings were more likely to have paid for resources with personal funds (57.1%, p<0.05) and have less access to resources (51.4%, p<0.05). In the open-text responses, the most desired resources were point-of-care tools (UpToDate) and DI databases (Lexicomp).Conclusions: US pharmacists experience a varied level of access to DI resources through their employer. Pharmacy educators should focus their instruction on resources that are the most accessible to practicing pharmacists. Many, especially community pharmacists, pay out of pocket for desired resources, presenting an opportunity to advocate for increased resources.","PeriodicalId":47690,"journal":{"name":"Journal of the Medical Library Association","volume":"114 4","pages":"410-418"},"PeriodicalIF":1.7,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13670230/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149217006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Removing records on animals and nonhumans in Ovid Embase: a comparison of 11 filters. 在Ovid Embase中删除动物和非人类的记录：11个过滤器的比较。

IF 1.7 4区医学

Journal of the Medical Library Association Pub Date : 2026-10-01 Epub Date: 2026-10-14 DOI: 10.5195/jmla.2026.2437

Helen Fulbright, Connor Evans

{"title":"Removing records on animals and nonhumans in Ovid Embase: a comparison of 11 filters.","authors":"Helen Fulbright, Connor Evans","doi":"10.5195/jmla.2026.2437","DOIUrl":"10.5195/jmla.2026.2437","url":null,"abstract":"Objective: To understand and compare the impact of 11 filters to remove records on animals or nonhumans in Ovid Embase, which are routinely used despite there being no performance data for them. To understand the indexing of relevant subject headings in Embase.Methods: To assess filter performance, we screened and categorized 3,000 records as 'should be removed' or 'should be retained' and calculated the sensitivity, specificity, and overall accuracy for each filter. We also reported on the number of records with human participants or data that were incorrectly removed by each filter.Results: Method 11 was the most sensitive, correctly retaining 90.6% records, whereas method 3 had the highest specificity, correctly removing 71.5% records. Of the records incorrectly removed by each filter, method 11 removed the fewest records with human participants or data at 10.9%, whereas method 3 removed the most at 14.3%. Filters that did not remove records indexed with 'nonhuman/' had higher sensitivity. Filter performance could vary by subject, publication type and language due to differences in indexing.Conclusion: In choosing a search filter, information specialists and review teams should discuss whether animals or nonhumans could feature in relevant studies.","PeriodicalId":47690,"journal":{"name":"Journal of the Medical Library Association","volume":"114 4","pages":"380-392"},"PeriodicalIF":1.7,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13670231/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149217100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparing AI chat tools and PubMed for medical literature searches. 比较人工智能聊天工具和PubMed的医学文献搜索。

IF 1.7 4区医学

Journal of the Medical Library Association Pub Date : 2026-10-01 Epub Date: 2026-10-14 DOI: 10.5195/jmla.2026.2284

A'Llyn Ettien, Kathleen Downing, Rebecca Drouhard, Bridget Gunn, Megan McNichol, Kate Silfen, Allie Tatarian

{"title":"Comparing AI chat tools and PubMed for medical literature searches.","authors":"A'Llyn Ettien, Kathleen Downing, Rebecca Drouhard, Bridget Gunn, Megan McNichol, Kate Silfen, Allie Tatarian","doi":"10.5195/jmla.2026.2284","DOIUrl":"10.5195/jmla.2026.2284","url":null,"abstract":"Objective: This investigation compared six AI chat tools (ChatGPT, Claude, Copilot, Gemini, OpenEvidence, and Perplexity) to each other and to PubMed to assess their utility in medical literature searches.Methods: Each tool was prompted with two standardized prompts simulating an academic and a clinical literature need. Prompts were repeated three times per tool, and results recorded for each prompt iteration.Results: Main findings include the range in number of real and hallucinated articles for each AI tool, from no hallucinations in OpenEvidence to more than 80% hallucinated citations in ChatGPT. Across all tools, most real articles were assessed as relevant. Continued prompting of all tools produced duplicate results. Most tools showed very little consistency in citations provided to different researchers, suggesting low probability of replicating search results.Conclusions: Though limited by small sample size, inconsistent data, and the rapid pace of change in LLM technology, this study suggests some advantages and drawbacks of using AI tools for literature searching compared with PubMed. AI tools with few or no hallucinations and high relevance, such as OpenEvidence and Perplexity, performed well in terms of simply supplying a few article citations on the topic, but small results sets and lack of consistency and transparency limit their value for thorough research. These results suggest that AI tools are not presently a viable replacement for PubMed or other academic databases for systematic reviews or other in-depth literature searches but may be adequate for limited information needs or as a complement to database or web searches.","PeriodicalId":47690,"journal":{"name":"Journal of the Medical Library Association","volume":"114 4","pages":"359-370"},"PeriodicalIF":1.7,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13670226/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149216869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Journals that accept case reports 2025. 接受病例报告的期刊2025。

IF 1.7 4区医学

Journal of the Medical Library Association Pub Date : 2026-10-01 Epub Date: 2026-10-14 DOI: 10.5195/jmla.2026.2436

Terri Gotschall, Elizabeth Irish, Emily Hannum, Kryslynn Collazo, Alyssa Snyder, Jacquelyn Simington

{"title":"Journals that accept case reports 2025.","authors":"Terri Gotschall, Elizabeth Irish, Emily Hannum, Kryslynn Collazo, Alyssa Snyder, Jacquelyn Simington","doi":"10.5195/jmla.2026.2436","DOIUrl":"10.5195/jmla.2026.2436","url":null,"abstract":"Background: For medical students and residents writing and publishing a case report is a common entry point into scholarly publishing. However, finding a journal that accepts case reports can be challenging. This project updates the 2023 list of journals that accept case reports. Shared on the Open Science Framework (OSF), the original list is a highly used, openly available list of English-language, MEDLINE-indexed journals that publish case reports, providing librarians and authors with a vetted, current open resource for discovering journals.Case presentation: A list of 2,199 journals was extracted from PubMed using the same method from 2023. The methodology was updated to exclude journals that rarely publish case reports (n=721) resulting in 1,478 journals to review for inclusion on the updated list. The team excluded 290 titles due to ceased publication (n=1), submission restrictions (n=1), non-English publication (n=13), lack of MEDLINE indexing (n=4), and not publishing case reports (n=271). The final list includes 1,188 journals. This is an additional 160 journals over the 2023 list. Nearly half of eligible journals (49%) offered free-to-author publishing options, either through traditional publishing models, open access that did not charge article processing fees, or through hybrid publishing models.Conclusion: The Journals that Accept Case Reports list is an open resource available on the Open Science Framework and serves as a tool to support librarians and authors in identifying appropriate journals for publishing a case report.","PeriodicalId":47690,"journal":{"name":"Journal of the Medical Library Association","volume":"114 4","pages":"471-476"},"PeriodicalIF":1.7,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13670222/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149217035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advancing library roles in research analytics: a case study of data-driven grant proposal support service. 推进图书馆在研究分析中的角色：数据驱动的拨款提案支持服务的案例研究。

IF 1.7 4区医学

Journal of the Medical Library Association Pub Date : 2026-10-01 Epub Date: 2026-10-14 DOI: 10.5195/jmla.2026.2412

Fei Yu

{"title":"Advancing library roles in research analytics: a case study of data-driven grant proposal support service.","authors":"Fei Yu","doi":"10.5195/jmla.2026.2412","DOIUrl":"10.5195/jmla.2026.2412","url":null,"abstract":"Background: This case report demonstrates how a health sciences librarian designed and delivered a data-driven research analytics service to support a multi-institutional pre-award proposal.Case presentation: The librarian was invited to join a multi-institutional research team. After defining the project scope, the librarian developed and executed a structured search strategy in a key research database for collaborative research publications across the participating institutions. After two reviewers independently screened search results for relevance, the librarian applied validated measures and metrics and conducted quantitative data analysis and visualization with bibliographic metadata collected from the included research publications. The findings offered quantitative evidence that illustrates the dynamics and patterns in research productivity, collaboration networks, and topic distribution within the collaborative research effort. This librarian's work contributes to a timely delivery of actionable insights, directly informing the research team's proposal strategy and preparation.Conclusion: This case presents a replicable framework for embedding research analytics services within library practice to support research performance evaluation. Leveraging librarians' expertise in literature search, research databases, bibliometrics, and data-driven workflows, librarians demonstrate their growing prominence as essential partners in research proposal development and research analytics.","PeriodicalId":47690,"journal":{"name":"Journal of the Medical Library Association","volume":"114 4","pages":"483-490"},"PeriodicalIF":1.7,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13670238/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149217226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Erratum to: Lane TA, Albro M, Forbes CS. Prevalence of bullying in academic medical libraries in the United States. J Med Libr Assoc. 2026 Jul;114(3):246-254. DOI: 10.5195/jmla.2026.2244. 勘误：Lane TA， Albro M, Forbes CS。美国学术医学图书馆中欺凌现象的普遍程度。中华医学杂志，2009,31(3):349 - 349。DOI: 10.5195 / jmla.2026.2244。

IF 1.7 4区医学

Journal of the Medical Library Association Pub Date : 2026-10-01 DOI: 10.5195/jmla.2026.2612

Todd Lane

引用次数: 0

Causal inference methods for systematic reviews. 系统评价的因果推理方法。

IF 1.7 4区医学

Journal of the Medical Library Association Pub Date : 2026-10-01 Epub Date: 2026-10-14 DOI: 10.5195/jmla.2026.2253

Madelyn Glymour

引用次数: 0

Resident resource use in clinical settings: an institutional survey. 临床环境中居民资源的使用：一项机构调查。

IF 1.7 4区医学

Journal of the Medical Library Association Pub Date : 2026-10-01 Epub Date: 2026-10-14 DOI: 10.5195/jmla.2026.2396

Nell Aronoff, Laurel Mueller

{"title":"Resident resource use in clinical settings: an institutional survey.","authors":"Nell Aronoff, Laurel Mueller","doi":"10.5195/jmla.2026.2396","DOIUrl":"10.5195/jmla.2026.2396","url":null,"abstract":"Background: We explored which point of care (POC) resources medical residents at the University at Buffalo use in clinical settings. We specifically sought to gather feedback from residents who help train medical students to see how they discover, use, and promote resources to support patient care.Case presentation: We developed an eight question Qualtrics survey. Residency program coordinators emailed the survey to approximately 445 residents in the following programs: Family Medicine, Internal Medicine, Combined Internal Medicine and Pediatrics, Neurology, Child Neurology, Obstetrics and Gynecology, Pediatrics, Psychiatry, Surgery, Plastic Surgery, and Vascular Surgery. The programs we targeted all correspond to required clerkship rotations. The survey was open for two weeks in June 2025. Thirty-nine residents (8.8%) completed our survey. Thirty-five, or nearly 90% of respondents, reported that they frequently use UpToDate, followed by twenty-three (59.0%) that use OpenEvidence, and seventeen that use MDCalc (43.6%). The residents we surveyed were inclined to recommend similar resources to medical students. They most often hear about new resources from other residents and attendings, via announcements on social media or podcasts, or by attending grand rounds and conferences.Conclusions: Our results highlight the continued popularity of UpToDate among medical trainees but also suggest that residents frequently use OpenEvidence in clinical settings. Further studies are needed to determine the impact of artificial intelligence tools on patient care and learning outcomes.","PeriodicalId":47690,"journal":{"name":"Journal of the Medical Library Association","volume":"114 4","pages":"445-451"},"PeriodicalIF":1.7,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13670215/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149217074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0