H. Masri, T. Mcguire, C. Dalais, M. V. van Driel, H. Benham, S. Hollingworth
Introduction: Poor indexing and inconsistent use of terms and keywords may prevent efficient retrieval of studies on the patient-based benefit-risk assessment (BRA) of medicines. We aimed to develop and validate an objectively derived content search strategy containing generic search terms that can be adapted for any search for evidence on patient-based BRA of medicines for any therapeutic area. Methods: We used a robust multistep process to develop and validate the content search strategy: (1) we developed a bank of search terms derived from screening studies on patient-based BRA of medicines in various therapeutic areas, (2) we refined the proposed content search strategy through an iterative process of testing sensitivity and precision of search terms, and (3) we validated the final search strategy in PubMed by firstly using multiple sclerosis as a case condition and secondly computing its relative performance versus a published systematic review on patient-based BRA of medicines in rheumatoid arthritis. Results: We conceptualized a final search strategy to retrieve studies on patient-based BRA containing generic search terms grouped into two domains, namely the patient and the BRA of medicines (sensitivity 84%, specificity 99.4%, precision 20.7%). The relative performance of the content search strategy was 85.7% compared with a search from a published systematic review of patient preferences in the treatment of rheumatoid arthritis. We also developed a more extended filter, with a relative performance of 93.3% when compared with a search from a published systematic review of patient preferences in lung cancer.
{"title":"Patient-based benefit-risk assessment of medicines: development, refinement, and validation of a content search strategy to retrieve relevant studies","authors":"H. Masri, T. Mcguire, C. Dalais, M. V. van Driel, H. Benham, S. Hollingworth","doi":"10.5195/jmla.2022.1306","DOIUrl":"https://doi.org/10.5195/jmla.2022.1306","url":null,"abstract":"Introduction: Poor indexing and inconsistent use of terms and keywords may prevent efficient retrieval of studies on the patient-based benefit-risk assessment (BRA) of medicines. We aimed to develop and validate an objectively derived content search strategy containing generic search terms that can be adapted for any search for evidence on patient-based BRA of medicines for any therapeutic area. Methods: We used a robust multistep process to develop and validate the content search strategy: (1) we developed a bank of search terms derived from screening studies on patient-based BRA of medicines in various therapeutic areas, (2) we refined the proposed content search strategy through an iterative process of testing sensitivity and precision of search terms, and (3) we validated the final search strategy in PubMed by firstly using multiple sclerosis as a case condition and secondly computing its relative performance versus a published systematic review on patient-based BRA of medicines in rheumatoid arthritis. Results: We conceptualized a final search strategy to retrieve studies on patient-based BRA containing generic search terms grouped into two domains, namely the patient and the BRA of medicines (sensitivity 84%, specificity 99.4%, precision 20.7%). The relative performance of the content search strategy was 85.7% compared with a search from a published systematic review of patient preferences in the treatment of rheumatoid arthritis. We also developed a more extended filter, with a relative performance of 93.3% when compared with a search from a published systematic review of patient preferences in lung cancer.","PeriodicalId":227502,"journal":{"name":"Journal of the Medical Library Association : JMLA","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115517178","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}
LitCovid. National Center for Biotechnology Information, US National Library of Medicine, 8600 Rockville Pike, Bethesda, MD 20894; https://www.ncbi.nlm.nih.gov/research/coronavirus/; free. iSearch COVID-19 portfolio. Office of Portfolio Analysis, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892; https://icite.od.nih.gov/covid19/search/; free. COVID-19 Global literature on coronavirus disease. World Health Organization, Avenue Appia 20, 1211 Geneva; https://search.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/; free.
{"title":"LitCovid, iSearch COVID-19 portfolio, and COVID-19 Global literature on coronavirus disease","authors":"Laurel Scheinfeld","doi":"10.5195/jmla.2022.1274","DOIUrl":"https://doi.org/10.5195/jmla.2022.1274","url":null,"abstract":"LitCovid. National Center for Biotechnology Information, US National Library of Medicine, 8600 Rockville Pike, Bethesda, MD 20894; https://www.ncbi.nlm.nih.gov/research/coronavirus/; free. iSearch COVID-19 portfolio. Office of Portfolio Analysis, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892; https://icite.od.nih.gov/covid19/search/; free. COVID-19 Global literature on coronavirus disease. World Health Organization, Avenue Appia 20, 1211 Geneva; https://search.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/; free.","PeriodicalId":227502,"journal":{"name":"Journal of the Medical Library Association : JMLA","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114622701","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":"A History of Medical Libraries and Medical Librarianship: From John Shaw Billings to the Digital Era","authors":"Eleanor Shanklin Truex","doi":"10.5195/jmla.2022.1324","DOIUrl":"https://doi.org/10.5195/jmla.2022.1324","url":null,"abstract":"","PeriodicalId":227502,"journal":{"name":"Journal of the Medical Library Association : JMLA","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121909126","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}
World Health Organization's Early AI-supported Response with Social Listening Platform (WHO EARS). WHO HQ, Avenue Appia 20, 1211, Geneva 27, Switzerland; https://www.who-ears.com/; free.
{"title":"World Health Organization's Early AI-supported Response with Social Listening Platform","authors":"B. McGowan","doi":"10.5195/jmla.2022.1398","DOIUrl":"https://doi.org/10.5195/jmla.2022.1398","url":null,"abstract":"World Health Organization's Early AI-supported Response with Social Listening Platform (WHO EARS). WHO HQ, Avenue Appia 20, 1211, Geneva 27, Switzerland; https://www.who-ears.com/; free.","PeriodicalId":227502,"journal":{"name":"Journal of the Medical Library Association : JMLA","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114956695","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}
A. Q. Wilson, Courtney Wombles, R. Heidel, K. Grabeel
Objective: In order to determine the status of scholarly efforts on health literacy by librarians, researchers examined the characteristics of health literacy publications authored by librarians from 2000 to 2020. Methods: Bibliometric analysis was used to assess the indicators of productivity, affiliation, collaboration, and citation metrics of librarians in health literacy–related research. Data were collected using the Scopus database; articles were screened for inclusion before importation into Microsoft Excel for analysis. SPSS software was used to run basic descriptive statistics. Results: Of 797 search results, 460 references met the inclusion criteria of librarian authorship. There was a significant linear trend upward in publications since 2001 with an average increase of 1.52 papers per year. The number of publications per year peaked in 2019 (n=59). Journal of Consumer Health on the Internet was the most prolific journal. The majority of references were authored by at least two authors and by multidisciplinary teams. Nineteen percent (n=107) of the librarian authors were responsible for more than one publication, and 84.1% of publications were cited at least once. Conclusions: In the last two decades, librarian involvement in health literacy publications has exponentially increased, most markedly in the years following 2014. The productivity, multidisciplinary collaboration efforts, and consistent growth in literature indicate that librarians are engaged in health literacy scholarship. Further research is needed to explore the work of librarians whose impacts on health literacy may not be reflected within well-indexed, peer-reviewed publications.
{"title":"The status of scholarly efforts of librarians on health literacy: a bibliometric analysis","authors":"A. Q. Wilson, Courtney Wombles, R. Heidel, K. Grabeel","doi":"10.5195/jmla.2022.1253","DOIUrl":"https://doi.org/10.5195/jmla.2022.1253","url":null,"abstract":"Objective: In order to determine the status of scholarly efforts on health literacy by librarians, researchers examined the characteristics of health literacy publications authored by librarians from 2000 to 2020. Methods: Bibliometric analysis was used to assess the indicators of productivity, affiliation, collaboration, and citation metrics of librarians in health literacy–related research. Data were collected using the Scopus database; articles were screened for inclusion before importation into Microsoft Excel for analysis. SPSS software was used to run basic descriptive statistics. Results: Of 797 search results, 460 references met the inclusion criteria of librarian authorship. There was a significant linear trend upward in publications since 2001 with an average increase of 1.52 papers per year. The number of publications per year peaked in 2019 (n=59). Journal of Consumer Health on the Internet was the most prolific journal. The majority of references were authored by at least two authors and by multidisciplinary teams. Nineteen percent (n=107) of the librarian authors were responsible for more than one publication, and 84.1% of publications were cited at least once. Conclusions: In the last two decades, librarian involvement in health literacy publications has exponentially increased, most markedly in the years following 2014. The productivity, multidisciplinary collaboration efforts, and consistent growth in literature indicate that librarians are engaged in health literacy scholarship. Further research is needed to explore the work of librarians whose impacts on health literacy may not be reflected within well-indexed, peer-reviewed publications.","PeriodicalId":227502,"journal":{"name":"Journal of the Medical Library Association : JMLA","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127205579","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 Scientific Journal: Authorship and the Politics of Knowledge in the Nineteenth Century","authors":"M. Grafe","doi":"10.5195/jmla.2022.1406","DOIUrl":"https://doi.org/10.5195/jmla.2022.1406","url":null,"abstract":"","PeriodicalId":227502,"journal":{"name":"Journal of the Medical Library Association : JMLA","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121435441","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}
Objective: We recently showed that the gender detection tools NamSor, Gender API, and Wiki-Gendersort accurately predicted the gender of individuals with Western given names. Here, we aimed to evaluate the performance of these tools with Chinese given names in Pinyin format. Methods: We constructed two datasets for the purpose of the study. File #1 was created by randomly drawing 20,000 names from a gender-labeled database of 52,414 Chinese given names in Pinyin format. File #2, which contained 9,077 names, was created by removing from File #1 all unisex names that we were able to identify (i.e., those that were listed in the database as both male and female names). We recorded for both files the number of correct classifications (correct gender assigned to a name), misclassifications (wrong gender assigned to a name), and nonclassifications (no gender assigned). We then calculated the proportion of misclassifications and nonclassifications (errorCoded). Results: For File #1, errorCoded was 53% for NamSor, 65% for Gender API, and 90% for Wiki-Gendersort. For File #2, errorCoded was 43% for NamSor, 66% for Gender API, and 94% for Wiki-Gendersort. Conclusion: We found that all three gender detection tools inaccurately predicted the gender of individuals with Chinese given names in Pinyin format and therefore should not be used in this population.
{"title":"How accurate are gender detection tools in predicting the gender for Chinese names? A study with 20,000 given names in Pinyin format","authors":"P. Sebo","doi":"10.5195/jmla.2022.1289","DOIUrl":"https://doi.org/10.5195/jmla.2022.1289","url":null,"abstract":"Objective: We recently showed that the gender detection tools NamSor, Gender API, and Wiki-Gendersort accurately predicted the gender of individuals with Western given names. Here, we aimed to evaluate the performance of these tools with Chinese given names in Pinyin format. Methods: We constructed two datasets for the purpose of the study. File #1 was created by randomly drawing 20,000 names from a gender-labeled database of 52,414 Chinese given names in Pinyin format. File #2, which contained 9,077 names, was created by removing from File #1 all unisex names that we were able to identify (i.e., those that were listed in the database as both male and female names). We recorded for both files the number of correct classifications (correct gender assigned to a name), misclassifications (wrong gender assigned to a name), and nonclassifications (no gender assigned). We then calculated the proportion of misclassifications and nonclassifications (errorCoded). Results: For File #1, errorCoded was 53% for NamSor, 65% for Gender API, and 90% for Wiki-Gendersort. For File #2, errorCoded was 43% for NamSor, 66% for Gender API, and 94% for Wiki-Gendersort. Conclusion: We found that all three gender detection tools inaccurately predicted the gender of individuals with Chinese given names in Pinyin format and therefore should not be used in this population.","PeriodicalId":227502,"journal":{"name":"Journal of the Medical Library Association : JMLA","volume":"216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130362284","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":"Marketing and Social Media: A Guide for Libraries, Archives, and Museums","authors":"Dana Haugh","doi":"10.5195/jmla.2021.1315","DOIUrl":"https://doi.org/10.5195/jmla.2021.1315","url":null,"abstract":"<jats:p>-</jats:p>","PeriodicalId":227502,"journal":{"name":"Journal of the Medical Library Association : JMLA","volume":"497 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128003413","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":"Developing a Library Accessibility Plan: A Practical Guide for Librarians","authors":"J. Pionke","doi":"10.5195/jmla.2021.1318","DOIUrl":"https://doi.org/10.5195/jmla.2021.1318","url":null,"abstract":"<jats:p>-</jats:p>","PeriodicalId":227502,"journal":{"name":"Journal of the Medical Library Association : JMLA","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134023002","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}
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