This article briefly discusses the value and impact of biography collections in medical education by illustrating the case of the Campus Bio-Medico University of Rome (UCBM) Library. The UCBM Library collects, curates, and provides access to a special biography collection with the purpose of documenting the history of men and women who contributed in the field of medicine and related sciences. This article highlights the importance of academic medical libraries collecting biographical works in order to transmit knowledge and values in medical school curriculum.
{"title":"Telling lives in medicine: the impact of biography collections in medical education.","authors":"Sofia Fagiolo","doi":"10.5195/jmla.2021.1312","DOIUrl":"https://doi.org/10.5195/jmla.2021.1312","url":null,"abstract":"<p><p>This article briefly discusses the value and impact of biography collections in medical education by illustrating the case of the Campus Bio-Medico University of Rome (UCBM) Library. The UCBM Library collects, curates, and provides access to a special biography collection with the purpose of documenting the history of men and women who contributed in the field of medicine and related sciences. This article highlights the importance of academic medical libraries collecting biographical works in order to transmit knowledge and values in medical school curriculum.</p>","PeriodicalId":227502,"journal":{"name":"Journal of the Medical Library Association : JMLA","volume":" ","pages":"510-513"},"PeriodicalIF":2.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8485942/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39502338","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":"Colandr.","authors":"Melissa Kahili-Heede, K J Hillgren","doi":"10.5195/jmla.2021.1263","DOIUrl":"https://doi.org/10.5195/jmla.2021.1263","url":null,"abstract":"<p><p><b>Colandr.</b>https://colandrcommunity.com;colandrteam@gmail.com; pricing: free.</p>","PeriodicalId":227502,"journal":{"name":"Journal of the Medical Library Association : JMLA","volume":" ","pages":"523-525"},"PeriodicalIF":2.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8485952/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39502340","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}
Nandita S Mani, Terri Ottosen, Megan Fratta, Fei Yu
Objective: The COVID-19 pandemic highlights the public's need for quality health information that is understandable. This study aimed to identify (1) the extent to which COVID-19 messaging by state public health departments is understandable, actionable, and clear; (2) whether materials produced by public health departments are easily readable; (3) relationships between material type and understandability, actionability, clarity, and reading grade level; and (4) potential strategies to improve public health messaging around COVID-19.
Methods: Based on US Centers for Disease Control and Prevention statistics from June 30, 2020, we identified the ten states with the most COVID-19 cases and selected forty-two materials (i.e., webpages, infographics, and videos) related to COVID-19 prevention according to predefined eligibility criteria. We applied three validated health literacy tools (i.e., Patient Education Materials Assessment Tool, CDC Clear Communication Index, and Flesch-Kincaid Grade Level) to assess material understandability, actionability, clarity, and readability. We also analyzed correlations between scores on the three health literacy tools and material types.
Results: Overall, COVID-19 materials had high understandability and actionability but could be improved in terms of clarity and readability. Material type was significantly correlated with understandability, actionability, and clarity. Infographics and videos received higher scores on all tools.
Conclusions: Based on our findings, we recommend public health entities apply a combination of these tools when developing health information materials to improve their understandability, actionability, and clarity. We also recommend using infographics and videos when possible, taking a human-centered approach to information design, and providing multiple modes and platforms for information delivery.
{"title":"A health literacy analysis of the consumer-oriented COVID-19 information produced by ten state health departments.","authors":"Nandita S Mani, Terri Ottosen, Megan Fratta, Fei Yu","doi":"10.5195/jmla.2021.1165","DOIUrl":"https://doi.org/10.5195/jmla.2021.1165","url":null,"abstract":"<p><strong>Objective: </strong>The COVID-19 pandemic highlights the public's need for quality health information that is understandable. This study aimed to identify (1) the extent to which COVID-19 messaging by state public health departments is understandable, actionable, and clear; (2) whether materials produced by public health departments are easily readable; (3) relationships between material type and understandability, actionability, clarity, and reading grade level; and (4) potential strategies to improve public health messaging around COVID-19.</p><p><strong>Methods: </strong>Based on US Centers for Disease Control and Prevention statistics from June 30, 2020, we identified the ten states with the most COVID-19 cases and selected forty-two materials (i.e., webpages, infographics, and videos) related to COVID-19 prevention according to predefined eligibility criteria. We applied three validated health literacy tools (i.e., Patient Education Materials Assessment Tool, CDC Clear Communication Index, and Flesch-Kincaid Grade Level) to assess material understandability, actionability, clarity, and readability. We also analyzed correlations between scores on the three health literacy tools and material types.</p><p><strong>Results: </strong>Overall, COVID-19 materials had high understandability and actionability but could be improved in terms of clarity and readability. Material type was significantly correlated with understandability, actionability, and clarity. Infographics and videos received higher scores on all tools.</p><p><strong>Conclusions: </strong>Based on our findings, we recommend public health entities apply a combination of these tools when developing health information materials to improve their understandability, actionability, and clarity. We also recommend using infographics and videos when possible, taking a human-centered approach to information design, and providing multiple modes and platforms for information delivery.</p>","PeriodicalId":227502,"journal":{"name":"Journal of the Medical Library Association : JMLA","volume":" ","pages":"422-431"},"PeriodicalIF":2.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8485956/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39504854","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}
Background: Game-based learning is a successful strategy for teaching various concepts to students, from general orientations to more in-depth material. Pharmacy students in a first-year lab course were introduced to library and drug information resources through a lecture-style class in their first week of school, which was ineffective in terms of engagement. To combat this issue, the pharmacy liaison librarian advocated for moving this class session later in the semester and proposed a game-based activity to replace the lecture.
Case presentation: "The Amazing Race: Drug Information Edition" was inspired by a well-known TV competition that involves completing several stages (called "legs") of challenges to finish the race. The librarian developed questions designed to make students use various parts of the library website as well as two drug information databases. Students competed in teams, and the first three teams to complete the race were awarded small prizes. The race was first implemented in 2018, and modifications were made to the 2019 iteration based on student feedback.
Conclusions: Despite several challenges, the race was well received by both the students and the course instructors and increased engagement with introductory library and drug information material. The activity has enhanced the librarian's relationship and collaboration with the course faculty and made a positive impression on the students.
{"title":"Increasing student engagement using an Amazing Race-style competition.","authors":"Emily F Gorman","doi":"10.5195/jmla.2021.1178","DOIUrl":"https://doi.org/10.5195/jmla.2021.1178","url":null,"abstract":"<p><strong>Background: </strong>Game-based learning is a successful strategy for teaching various concepts to students, from general orientations to more in-depth material. Pharmacy students in a first-year lab course were introduced to library and drug information resources through a lecture-style class in their first week of school, which was ineffective in terms of engagement. To combat this issue, the pharmacy liaison librarian advocated for moving this class session later in the semester and proposed a game-based activity to replace the lecture.</p><p><strong>Case presentation: </strong>\"The Amazing Race: Drug Information Edition\" was inspired by a well-known TV competition that involves completing several stages (called \"legs\") of challenges to finish the race. The librarian developed questions designed to make students use various parts of the library website as well as two drug information databases. Students competed in teams, and the first three teams to complete the race were awarded small prizes. The race was first implemented in 2018, and modifications were made to the 2019 iteration based on student feedback.</p><p><strong>Conclusions: </strong>Despite several challenges, the race was well received by both the students and the course instructors and increased engagement with introductory library and drug information material. The activity has enhanced the librarian's relationship and collaboration with the course faculty and made a positive impression on the students.</p>","PeriodicalId":227502,"journal":{"name":"Journal of the Medical Library Association : JMLA","volume":" ","pages":"478-482"},"PeriodicalIF":2.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8485938/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39502333","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}
Objective: To evaluate the performance of gender detection tools that allow the uploading of files (e.g., Excel or CSV files) containing first names, are usable by researchers without advanced computer skills, and are at least partially free of charge.
Methods: The study was conducted using four physician datasets (total number of physicians: 6,131; 50.3% female) from Switzerland, a multilingual country. Four gender detection tools met the inclusion criteria: three partially free (Gender API, NamSor, and genderize.io) and one completely free (Wiki-Gendersort). For each tool, we recorded the number of correct classifications (i.e., correct gender assigned to a name), misclassifications (i.e., wrong gender assigned to a name), and nonclassifications (i.e., no gender assigned). We computed three metrics: the proportion of misclassifications excluding nonclassifications (errorCodedWithoutNA), the proportion of nonclassifications (naCoded), and the proportion of misclassifications and nonclassifications (errorCoded).
Results: The proportion of misclassifications was low for all four gender detection tools (errorCodedWithoutNA between 1.5 and 2.2%). By contrast, the proportion of unrecognized names (naCoded) varied: 0% for NamSor, 0.3% for Gender API, 4.5% for Wiki-Gendersort, and 16.4% for genderize.io. Using errorCoded, which penalizes both types of error equally, we obtained the following results: Gender API 1.8%, NamSor 2.0%, Wiki-Gendersort 6.6%, and genderize.io 17.7%.
Conclusions: Gender API and NamSor were the most accurate tools. Genderize.io led to a high number of nonclassifications. Wiki-Gendersort may be a good compromise for researchers wishing to use a completely free tool. Other studies would be useful to evaluate the performance of these tools in other populations (e.g., Asian).
{"title":"Performance of gender detection tools: a comparative study of name-to-gender inference services.","authors":"Paul Sebo","doi":"10.5195/jmla.2021.1185","DOIUrl":"https://doi.org/10.5195/jmla.2021.1185","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the performance of gender detection tools that allow the uploading of files (e.g., Excel or CSV files) containing first names, are usable by researchers without advanced computer skills, and are at least partially free of charge.</p><p><strong>Methods: </strong>The study was conducted using four physician datasets (total number of physicians: 6,131; 50.3% female) from Switzerland, a multilingual country. Four gender detection tools met the inclusion criteria: three partially free (Gender API, NamSor, and genderize.io) and one completely free (Wiki-Gendersort). For each tool, we recorded the number of correct classifications (i.e., correct gender assigned to a name), misclassifications (i.e., wrong gender assigned to a name), and nonclassifications (i.e., no gender assigned). We computed three metrics: the proportion of misclassifications excluding nonclassifications (errorCodedWithoutNA), the proportion of nonclassifications (naCoded), and the proportion of misclassifications and nonclassifications (errorCoded).</p><p><strong>Results: </strong>The proportion of misclassifications was low for all four gender detection tools (errorCodedWithoutNA between 1.5 and 2.2%). By contrast, the proportion of unrecognized names (naCoded) varied: 0% for NamSor, 0.3% for Gender API, 4.5% for Wiki-Gendersort, and 16.4% for genderize.io. Using errorCoded, which penalizes both types of error equally, we obtained the following results: Gender API 1.8%, NamSor 2.0%, Wiki-Gendersort 6.6%, and genderize.io 17.7%.</p><p><strong>Conclusions: </strong>Gender API and NamSor were the most accurate tools. Genderize.io led to a high number of nonclassifications. Wiki-Gendersort may be a good compromise for researchers wishing to use a completely free tool. Other studies would be useful to evaluate the performance of these tools in other populations (e.g., Asian).</p>","PeriodicalId":227502,"journal":{"name":"Journal of the Medical Library Association : JMLA","volume":" ","pages":"414-421"},"PeriodicalIF":2.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8485937/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39504853","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}
Objective: To compare the accuracy, time to answer, user confidence, and user satisfaction between UpToDate and DynaMed (formerly DynaMed Plus), which are two popular point-of-care information tools.
Methods: A crossover study was conducted with medical residents in obstetrics and gynecology and family medicine at the University of Toronto in order to compare the speed and accuracy with which they retrieved answers to clinical questions using UpToDate and DynaMed. Experiments took place between February 2017 and December 2019. Following a short tutorial on how to use each tool and completion of a background survey, participants attempted to find answers to two clinical questions in each tool. Time to answer each question, the chosen answer, confidence score, and satisfaction score were recorded for each clinical question.
Results: A total of 57 residents took part in the experiment, including 32 from family medicine and 25 from obstetrics and gynecology. Accuracy in clinical answers was equal between UpToDate (average 1.35 out of 2) and DynaMed (average 1.36 out of 2). However, time to answer was 2.5 minutes faster in UpToDate compared to DynaMed. Participants were also more confident and satisfied with their answers in UpToDate compared to DynaMed.
Conclusions: Despite a preference for UpToDate and a higher confidence in responses, the accuracy of clinical answers in UpToDate was equal to those in DynaMed. Previous exposure to UpToDate likely played a major role in participants' preferences. More research in this area is recommended.
{"title":"UpToDate versus DynaMed: a cross-sectional study comparing the speed and accuracy of two point-of-care information tools.","authors":"Glyneva Bradley-Ridout, Erica Nekolaichuk, Trevor Jamieson, Claire Jones, Natalie Morson, Rita Chuang, Elena Springall","doi":"10.5195/jmla.2021.1176","DOIUrl":"https://doi.org/10.5195/jmla.2021.1176","url":null,"abstract":"<p><strong>Objective: </strong>To compare the accuracy, time to answer, user confidence, and user satisfaction between UpToDate and DynaMed (formerly DynaMed Plus), which are two popular point-of-care information tools.</p><p><strong>Methods: </strong>A crossover study was conducted with medical residents in obstetrics and gynecology and family medicine at the University of Toronto in order to compare the speed and accuracy with which they retrieved answers to clinical questions using UpToDate and DynaMed. Experiments took place between February 2017 and December 2019. Following a short tutorial on how to use each tool and completion of a background survey, participants attempted to find answers to two clinical questions in each tool. Time to answer each question, the chosen answer, confidence score, and satisfaction score were recorded for each clinical question.</p><p><strong>Results: </strong>A total of 57 residents took part in the experiment, including 32 from family medicine and 25 from obstetrics and gynecology. Accuracy in clinical answers was equal between UpToDate (average 1.35 out of 2) and DynaMed (average 1.36 out of 2). However, time to answer was 2.5 minutes faster in UpToDate compared to DynaMed. Participants were also more confident and satisfied with their answers in UpToDate compared to DynaMed.</p><p><strong>Conclusions: </strong>Despite a preference for UpToDate and a higher confidence in responses, the accuracy of clinical answers in UpToDate was equal to those in DynaMed. Previous exposure to UpToDate likely played a major role in participants' preferences. More research in this area is recommended.</p>","PeriodicalId":227502,"journal":{"name":"Journal of the Medical Library Association : JMLA","volume":" ","pages":"382-387"},"PeriodicalIF":2.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8485969/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39502417","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}
EndNote 20 desktop version. Released October 2020. Clarivate, 1500 Spring Garden Street, Fourth Floor, Philadelphia, PA 19130; https://endnote.com/; 1-888-418-1937; onetime purchase full license, $249.95, discounts available, contact for institutional pricing. For a list of technical requirements, visit https://endnote.com/product-details/compatibility.
{"title":"EndNote 20 desktop version.","authors":"Terri Gotschall","doi":"10.5195/jmla.2021.1260","DOIUrl":"https://doi.org/10.5195/jmla.2021.1260","url":null,"abstract":"<p><p><b>EndNote 20 desktop version.</b> Released October 2020. Clarivate, 1500 Spring Garden Street, Fourth Floor, Philadelphia, PA 19130; https://endnote.com/; 1-888-418-1937; onetime purchase full license, $249.95, discounts available, contact for institutional pricing. For a list of technical requirements, visit https://endnote.com/product-details/compatibility.</p>","PeriodicalId":227502,"journal":{"name":"Journal of the Medical Library Association : JMLA","volume":" ","pages":"520-522"},"PeriodicalIF":2.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8485940/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39502339","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":"LGBTQ Health Research: Theory, Methods, Practice","authors":"Andrew Hickner","doi":"10.5195/jmla.2021.1238","DOIUrl":"https://doi.org/10.5195/jmla.2021.1238","url":null,"abstract":"Book Review","PeriodicalId":227502,"journal":{"name":"Journal of the Medical Library Association : JMLA","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116710196","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}
Katherine G Akers, Ellen M Aaronson, Kathleen Amos, Kelsa Bartley, Alexander J Carroll, Thane Chambers, John W Cyrus, Erin R B Eldermire, Brenda Linares, Beverly Murphy, Melanie J Norton, J J Pionke, Amy Reyes
In 2020, the Journal of the Medical Library Association (JMLA) launched an initiative aimed at providing more equitable opportunities for authors, reviewers, and editorial team members. This editorial provides an update on the steps we have taken thus far to empower authors, increase the diversity of our editorial team, and make equity-minded recommendations to the Medical Library Association.
{"title":"Striving for equity: An update from the <i>Journal of the Medical Library Association</i>.","authors":"Katherine G Akers, Ellen M Aaronson, Kathleen Amos, Kelsa Bartley, Alexander J Carroll, Thane Chambers, John W Cyrus, Erin R B Eldermire, Brenda Linares, Beverly Murphy, Melanie J Norton, J J Pionke, Amy Reyes","doi":"10.5195/jmla.2021.1279","DOIUrl":"https://doi.org/10.5195/jmla.2021.1279","url":null,"abstract":"<p><p>In 2020, the <i>Journal of the Medical Library Association</i> (<i>JMLA</i>) launched an initiative aimed at providing more equitable opportunities for authors, reviewers, and editorial team members. This editorial provides an update on the steps we have taken thus far to empower authors, increase the diversity of our editorial team, and make equity-minded recommendations to the Medical Library Association.</p>","PeriodicalId":227502,"journal":{"name":"Journal of the Medical Library Association : JMLA","volume":" ","pages":"359-361"},"PeriodicalIF":2.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8485935/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39502413","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}
Tove Faber Frandsen, Christina Louise Lindhardt, Mette Brandt Eriksen
Objective: A growing volume of studies address methods for performing systematic reviews of qualitative studies. One such methodological aspect is the conceptual framework used to structure the review question and plan the search strategy for locating relevant studies. The purpose of this case study was to evaluate the retrieval potential of each element of conceptual frameworks in qualitative systematic reviews in the health sciences.
Methods: The presence of elements from conceptual frameworks in publication titles, abstracts, and controlled vocabulary in CINAHL and PubMed was analyzed using a set of qualitative reviews and their included studies as a gold standard. Using a sample of 101 publications, we determined whether particular publications could be retrieved if a specific element from the conceptual framework was used in the search strategy.
Results: We found that the relative recall of conceptual framework elements varied considerably, with higher recall for patient/population (99%) and research type (97%) and lower recall for intervention/phenomenon of interest (74%), outcome (79%), and context (61%).
Conclusion: The use of patient/population and research type elements had high relative recall for qualitative studies. However, other elements should be used with great care due to lower relative recall.
{"title":"Performance of conceptual framework elements for the retrieval of qualitative health literature: a case study.","authors":"Tove Faber Frandsen, Christina Louise Lindhardt, Mette Brandt Eriksen","doi":"10.5195/jmla.2021.1150","DOIUrl":"https://doi.org/10.5195/jmla.2021.1150","url":null,"abstract":"<p><strong>Objective: </strong>A growing volume of studies address methods for performing systematic reviews of qualitative studies. One such methodological aspect is the conceptual framework used to structure the review question and plan the search strategy for locating relevant studies. The purpose of this case study was to evaluate the retrieval potential of each element of conceptual frameworks in qualitative systematic reviews in the health sciences.</p><p><strong>Methods: </strong>The presence of elements from conceptual frameworks in publication titles, abstracts, and controlled vocabulary in CINAHL and PubMed was analyzed using a set of qualitative reviews and their included studies as a gold standard. Using a sample of 101 publications, we determined whether particular publications could be retrieved if a specific element from the conceptual framework was used in the search strategy.</p><p><strong>Results: </strong>We found that the relative recall of conceptual framework elements varied considerably, with higher recall for patient/population (99%) and research type (97%) and lower recall for intervention/phenomenon of interest (74%), outcome (79%), and context (61%).</p><p><strong>Conclusion: </strong>The use of patient/population and research type elements had high relative recall for qualitative studies. However, other elements should be used with great care due to lower relative recall.</p>","PeriodicalId":227502,"journal":{"name":"Journal of the Medical Library Association : JMLA","volume":" ","pages":"388-394"},"PeriodicalIF":2.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8485961/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39502418","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}