Health Information and Libraries Journal最新文献

{"title":"Patient education information material assessment criteria: A scoping review","authors":"Khadijeh Ahmadzadeh MSc,&nbsp;Masoud Bahrami PhD,&nbsp;Firoozeh Zare-Farashbandi PhD,&nbsp;Payman Adibi Md-PhD,&nbsp;Mohammad Ali Boroumand MSc,&nbsp;Alireza Rahimi PhD","doi":"10.1111/hir.12467","DOIUrl":"10.1111/hir.12467","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Patient education information material (PEIM) is an essential component of patient education programs in increasing patients' ability to cope with their diseases. Therefore, it is essential to consider the criteria that will be used to prepare and evaluate these resources.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>This paper aims to identify these criteria and recognize the tools or methods used to evaluate them.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>National and international databases and indexing banks, including PubMed, Scopus, Web of Science, ProQuest, the Cochrane Library, Magiran, SID and ISC, were searched for this review. Original or review articles, theses, short surveys, and conference papers published between January 1990 and June 2022 were included.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Overall, 4688 documents were retrieved, of which 298 documents met the inclusion criteria. The criteria were grouped into 24 overarching criteria. The most frequently used criteria were readability, quality, suitability, comprehensibility and understandability.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>This review has provided empirical evidence to identify criteria, tools, techniques or methods for developing or evaluating a PEIM. The authors suggest that developing a comprehensive tool based on these findings is critical for evaluating the overall efficiency of PEIM using effective criteria.</p>\u0000 </section>\u0000 </div>","PeriodicalId":47580,"journal":{"name":"Health Information and Libraries Journal","volume":"40 1","pages":"3-28"},"PeriodicalIF":3.8,"publicationDate":"2023-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9225288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How research into healthcare staff use and non-use of e-books led to planning a joint approach to e-book policy and practice across UK and Ireland healthcare libraries","authors":"Hélène Gorring BA (Hons), MSc, FCLIP,&nbsp;Denise Duffy BA, DipLis,&nbsp;Alison Forde BA, PG DipLib, MEd,&nbsp;Donna Irving MCLIP, FHEA,&nbsp;Katherine Morgan,&nbsp;Katie Nicholas BA (Hons) MA MCLIP","doi":"10.1111/hir.12469","DOIUrl":"10.1111/hir.12469","url":null,"abstract":"<p>The research goals were to obtain an understanding of who the users of e-books in the NHS are, what they are using e-books for, and when and how they use them. This article presents the methodology used and the findings from the research. It also explores the outputs and next steps from the research, both for the individual countries and collectively. The Five Nations group, (library leads in England, Northern Ireland, Ireland, Scotland and Wales) commissioned research into healthcare staff use and non-use of e-books to understand the behaviours, needs and expectations of healthcare staff and to identify shared challenges around e-books to inform policy and practice.</p>","PeriodicalId":47580,"journal":{"name":"Health Information and Libraries Journal","volume":"40 1","pages":"114-119"},"PeriodicalIF":3.8,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/hir.12469","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9231955","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}

{"title":"Text mining applications to support health library practice: A case study on marijuana legalization Twitter analytics","authors":"Janice Y. Kung MLIS,&nbsp;Kynan Ly MA,&nbsp;Ali Shiri PhD","doi":"10.1111/hir.12473","DOIUrl":"10.1111/hir.12473","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Twitter is rich in data for text and data analytics research, with the ability to capture trends.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>This study examines Canadian tweets on marijuana legalization and terminology used. Presented as a case study, Twitter analytics will demonstrate the varied applications of how this kind of research method may be used to inform library practice.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Twitter API was used to extract a subset of tweets using seven relevant hashtags. Using open-source programming tools, the sampled tweets were analysed between September to November 2018, identifying themes, frequently used terms, sentiment, and co-occurring hashtags.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>More than 1,176,000 tweets were collected. The most popular hashtag co-occurrence, two hashtags appearing together, was #cannabis and #CdnPoli. There was a high variance in the sentiment analysis of all collected tweets but most scores had neutral sentiment.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Discussion</h3>\u0000 \u0000 <p>The case study presents text-mining applications relevant to help make informed decisions in library practice through service analysis, quality analysis, and collection analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Findings from sentiment analysis may determine usage patterns from users. There are several ways in which libraries may use text mining to make evidence-informed decisions such as examining all possible terminologies used by the public to help inform comprehensive evidence synthesis projects and build taxonomies for digital libraries and repositories.</p>\u0000 </section>\u0000 </div>","PeriodicalId":47580,"journal":{"name":"Health Information and Libraries Journal","volume":"41 1","pages":"53-63"},"PeriodicalIF":3.8,"publicationDate":"2023-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10475098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adding value to learning and development through CILIP accreditation: The NHS knowledge for healthcare learning academy","authors":"Dominic Gilroy MA,&nbsp;Gil Young MSc","doi":"10.1111/hir.12470","DOIUrl":"10.1111/hir.12470","url":null,"abstract":"<p>NHS knowledge and library staff are a highly specialist workforce delivering an economic benefit of £77 million per annum to the health service in England. To achieve their full potential and meet the changing needs of the NHS, it is vital that the workforce remains up to date through the continuing development of their skills, knowledge, and behaviours. This article outlines the work of Health Education England to gain Chartered Institute of Library and Information Professionals (CILIP—The Library and Information Association) quality accreditation for the short course offers delivered through the NHS Knowledge for Healthcare Learning Academy. It summarises the benefits of this accreditation for Health Education England, for employers, and for knowledge and library staff participating in the short courses. Learning points from the experience of the accreditation process are described and shared.</p>","PeriodicalId":47580,"journal":{"name":"Health Information and Libraries Journal","volume":"40 2","pages":"223-227"},"PeriodicalIF":3.8,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/hir.12470","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10210007","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}

{"title":"Application of text mining to the development and validation of a geographic search filter to facilitate evidence retrieval in Ovid MEDLINE: An example from the United States","authors":"Antoinette Cheung MPH,&nbsp;Evan Popoff MSc,&nbsp;Shelagh M. Szabo MSc","doi":"10.1111/hir.12471","DOIUrl":"10.1111/hir.12471","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Given the increasing volume of published research in bibliographic databases, efficient retrieval of evidence is crucial and represents an opportunity to integrate novel techniques such as text mining.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>To develop and validate a geographic search filter for identifying research from the United States (US) in Ovid MEDLINE.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>US and non-US citations were collected from bibliographies of evidence-based reviews. Citations were partitioned by US/non-US status and randomly divided to a training and testing set. Using text mining, common one- and two-word terms in title/abstract fields were identified, and frequencies compared between US/non-US citations.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Common US-related terms included (as ratio of frequency in US/non-US citations) US populations and geographic terms [e.g., ‘Americans’ (15.5), ‘Baltimore’ (20.0)]. Common non-US terms were non-US geographic terms [e.g., ‘Japan’ (0.04), ‘French’ (0.05)]. A search filter was developed with 98.3% sensitivity and 82.7% specificity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Discussion</h3>\u0000 \u0000 <p>This search filter will streamline the identification of evidence from the US. Periodic updates may be necessary to reflect changes in MEDLINE's controlled vocabulary.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Text mining was instrumental to the development of this search filter. A novel technique generated a gold standard set comprising &gt;20,000 citations. This method may be adapted to develop subsequent geographic search filters.</p>\u0000 </section>\u0000 </div>","PeriodicalId":47580,"journal":{"name":"Health Information and Libraries Journal","volume":"40 2","pages":"169-180"},"PeriodicalIF":3.8,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9783770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Expert searchers identified time, team, technology and tension as challenges when carrying out supplementary searches for systematic reviews: A thematic network analysis","authors":"Simon Briscoe MSc,&nbsp;Rebecca Abbott PhD,&nbsp;G. J. Melendez-Torres PhD","doi":"10.1111/hir.12468","DOIUrl":"10.1111/hir.12468","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Systematic reviews require detailed planning of complex processes which can present logistical challenges. Understanding these logistical challenges can help with planning and execution of tasks</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>To describe the perspectives of expert searchers on the main logistical challenges when carrying out supplementary searches for systematic reviews, in particular, forward citation searching and web searching.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Qualitative interviews were undertaken with 15 experts on searching for studies for systematic reviews (e.g. information specialists) working in health and social care research settings. Interviews were undertaken by video-call between September 2020 and June 2021. Data analysis used thematic network analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We identified three logistical challenges of using forward citation searching and web searching which were organised under the global theme of ‘tension’: time, team and technology. Several subthemes were identified which supported the organising themes, including allocating time, justifying time and keeping to time; reviewer expectations and contact with review teams; and access to resources and reference management.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Forward citation searching and web searching are logistically challenging search methods for a systematic review. An understanding of these challenges should encourage expert searchers and review teams to maintain open channels of communication, which should also facilitate improved working relationships.</p>\u0000 </section>\u0000 </div>","PeriodicalId":47580,"journal":{"name":"Health Information and Libraries Journal","volume":"41 2","pages":"182-194"},"PeriodicalIF":3.8,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/hir.12468","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10385991","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}

{"title":"General practitioners' wellbeing during the COVID-19 pandemic: Novel methods with social media data","authors":"Su Golder BSc (hons), MSc, FRSA, PhD,&nbsp;Laura Jefferson BSc, MSc, PhD,&nbsp;Elizabeth McHugh MSc,&nbsp;Holly Essex BSc(hons), MSc, PhD, RM,&nbsp;Claire Heathcote MA, PhD,&nbsp;Ana Castro Avila PhD,&nbsp;Veronica Dale BSc(hons), MSc,&nbsp;Christina Van Der Feltz-Cornelis MD, PhD,&nbsp;Karen Bloor BA(hons), MSc, PhD","doi":"10.1111/hir.12466","DOIUrl":"10.1111/hir.12466","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>It is difficult to engage busy healthcare professionals in research. Yet during the COVID-19 pandemic, gaining their perspectives has never been more important.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>To explore social media data for insights into the wellbeing of UK General Practitioners (GPs) during the Covid-19 pandemic.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We used a combination of search approaches to identify 381 practising UK NHS GPs on Twitter. Using a two stage social media analysis, we firstly searched for key themes from 91,034 retrieved tweets (before and during the pandemic). Following this we used qualitative content analysis to provide in-depth insights from 7145 tweets related to wellbeing.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Social media proved a useful tool to identify a cohort of UK GPs; following their tweets longitudinally to explore key themes and trends in issues related to GP wellbeing during the pandemic. These predominately related to support, resources and public perceptions and fluctuations were identified at key timepoints during the pandemic, all achieved without burdening busy GPs.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Social media data can be searched to identify a cohort of GPs to explore their wellbeing and changes over time.</p>\u0000 </section>\u0000 </div>","PeriodicalId":47580,"journal":{"name":"Health Information and Libraries Journal","volume":"40 4","pages":"400-416"},"PeriodicalIF":3.8,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/hir.12466","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40480346","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}

{"title":"Issue Information Covers","authors":"","doi":"10.1111/hir.12382","DOIUrl":"https://doi.org/10.1111/hir.12382","url":null,"abstract":"","PeriodicalId":47580,"journal":{"name":"Health Information and Libraries Journal","volume":"39 4","pages":"i-iv"},"PeriodicalIF":3.8,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/hir.12382","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"109169518","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}

{"title":"In this issue…","authors":"","doi":"10.1111/hir.12463","DOIUrl":"10.1111/hir.12463","url":null,"abstract":"","PeriodicalId":47580,"journal":{"name":"Health Information and Libraries Journal","volume":"39 4","pages":"310-311"},"PeriodicalIF":3.8,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40703179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bibliometric analysis of COVID-19 publications shows the importance of telemedicine and equitable access to the internet during the pandemic and beyond","authors":"Mahnaz Samadbeik PhD,&nbsp;Peivand Bastani PhD,&nbsp;Farhad Fatehi MD PhD","doi":"10.1111/hir.12465","DOIUrl":"10.1111/hir.12465","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Pandemics highlight the increasing role of information and communications technology for improving access to health care. This study aimed to present a bibliometric analysis of the concept of digital divide reported in the published articles concerning the coronavirus disease 2019 (COVID-19) pandemic.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>To conduct this bibliometric analysis of research topics and trends, we used VOSviewer software. We developed a search strategy to retrieve peer-reviewed publications related to ‘digital divide in the COVID-19 era' from the Scopus database.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>In total, 241 publications on the topic of digital divide and COVID-19 were retrieved from Scopus database between 2020 and 2021. The analysis of keywords co-occurrence of research topics revealed four main clusters including: ‘telemedicine’, ‘Internet access and Internet use’, ‘e-learning’ and ‘epidemiology’. Seven characteristic categories were examined in these research topics, including: sociodemographic, economic, social, cultural, personal, material and motivational.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>‘Telemedicine’ and ‘Internet access and Internet use’ as the largest clusters are connected to topics addressing inequalities in online health care access. Thus, policymakers should develop or modify policies in more egalitarian Internet access for all community members not only during a pandemic like the COVID-19 but also at regular times.</p>\u0000 </section>\u0000 </div>","PeriodicalId":47580,"journal":{"name":"Health Information and Libraries Journal","volume":"40 4","pages":"390-399"},"PeriodicalIF":3.8,"publicationDate":"2022-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9877810/pdf/HIR-9999-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10621608","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}