How it's done: search tools and techniques for major bibliographic databases

2021 ◽  
Vol 13 (5) ◽  
pp. 210-213
Author(s):  
Matt Holland ◽  
Michelle Dutton ◽  
Steve Glover
Keyword(s):  
Boolean Logic ◽  
Bibliographic Databases ◽  
Search Plan ◽  
Tools And Techniques

This article explains how to write an effective search plan using simple steps. The article takes you through the tools and techniques that are widely used in major bibliographic databases such as MEDLINE and CINAHL to conduct searches. These include Boolean logic, truncation and wildcards, in-field searching, proximity operators, limits and subject thesauri. Each process is illustrated with an example to help you apply them to your own searches. The process of using these tools and techniques to either narrow (find fewer results) or broaden (find more results) is described and summarised in an easy-to-use table.

scholarly journals Pediatric Residents and Interns in an Italian Hospital Perform Improved Bibliographic Searches when Assisted by a Biomedical Librarian

2013 ◽  
Vol 8 (1) ◽  
pp. 76
Author(s):  
Mathew Stone
Keyword(s):  
Teaching Hospital ◽  
Assessment Tool ◽  
Controlled Trial ◽  
Intervention Group ◽  
Real Life ◽  
Boolean Logic ◽  
Bibliographic Databases ◽  
Control Group ◽  
Pediatric Residents ◽  
Clinical Scenarios

A Review of: Gardois, P., Calabrese, R., Colombi, N., Lingua, C., Longo, F., Villanacci, M., Miniero, R., & Piga, A. (2011). Effectiveness of bibliographic searches performed by paediatric residents and interns assisted by librarian. A randomised controlled trial. Health Information and Libraries Journal, 28(4), 273-284. doi: 10.1111/j.1471-1842.2011.00957.x Objective – To establish whether the assistance of an experienced biomedical librarian delivers an improvement in the searching of bibliographic databases as performed by medical residents and interns. Design – Randomized controlled trial. Setting – The pediatrics department of a large Italian teaching hospital. Subjects – 18 pediatric residents and interns. Methods – 23 residents and interns from the pediatrics department of a large Italian teaching hospital were invited to participate in this study, of which 18 agreed. Subjects were then randomized into two groups and asked to spend between 30 and 90 minutes searching bibliographic databases for evidence to answer a real-life clinical question which was randomly allocated to them. Each member of the intervention group was provided with an experienced biomedical librarian to provide assistance throughout the search session. The control group received no assistance. The outcome of the search was then measured using an assessment tool adapted for the purpose of this study from the Fresno test of competence in evidence based medicine. This adapted assessment tool rated the “global success” of the search and included criteria such as appropriate question formulation, number of PICO terms translated into search terms, use of Boolean logic, use of subject headings, use of filters, use of limits, and the percentage of citations retrieved that matched a gold standard set of citations found in a prior search by two librarians (who were not involved in assisting the subjects) together with an expert clinician. Main Results – The intervention group scored a median average of 73.6 points out of a possible 100, compared with the control group which scored 50.4. The difference of 23.2 points in favour of the librarian assisted group was a statistically significant result (p value = 0.013) with a 95% confidence interval of between 4.8 and 33.2. Conclusion – This study presents credible evidence that assistance provided by an experienced biomedical librarian improves the quality of the bibliographic database searches performed by residents and interns using real-life clinical scenarios.

scholarly journals Web Search Engines - Not Yet a Reliable Replacement for Bibliographic Databases

2018 ◽  
Vol 13 (3) ◽  
pp. 85-87
Author(s):  
Emma Hughes
Keyword(s):  
Social Sciences ◽  
Social Services ◽  
Search Engines ◽  
English Language ◽  
Web Search ◽  
Boolean Logic ◽  
Bibliographic Databases ◽  
Quality Of Reporting ◽  
Health And Social Care ◽  
Web Search Engines

A Review of: Bates, J., Best, P., McQuilkin, J., & Taylor, B. (2017) Will web search engines replace bibliographic databases in the systematic identification of research? The Journal of Academic Librarianship, 43(1), 8-17. https://doi.org/10.1016/j.acalib.2016.11.003 Abstract Objective - To explore whether web search engines could replace bibliographic databases in retrieving research. Design - Systematic review. Setting - English language articles in health and social care; comparing bibliographic databases and web search engines for retrieving research published between January 2005 and August 2015, in peer-reviewed journals and available in full-text. Subjects - Eight bibliographic databases: ASSIA (Applied Social Sciences Index and Abstracts), CINAHL Plus (Cumulative Index to Nursing and Allied Health Literature), LISA (Library and Information Science Abstracts), Medline, PsycInfo, Scopus, SSA (Social Services Abstracts), and SSCI (Social Sciences Citation Index) and five web search engines: Ask, Bing, Google, Google Scholar, Yahoo. Methods - A literature search via the above bibliographic databases and web search engines. The retrieved results were independently appraised by two researchers, using a combination of tools and checklists, including the PRESS checklist (McGowan et al., 2016) and took guidance on developing search strategies from the Centre for Reviews and Dissemination (2009). Main Results - Sixteen papers met the appraisal requirements. Each paper compared at least one bibliographic database against one web-search engine. The authors also discuss findings from their own search process. Precision and sensitivity scores from each paper were compared. The results highlighted that web search engines do not necessarily use Boolean logic and in general have limited functionality compared to bibliographic databases. There were variances in the way precision scores were calculated between papers, but when based on the first 100 results, web search engines were similar to some databases. However, their sensitivity scores were much weaker. Conclusion - Whilst precision scores were strong for web search engines, sensitivity was lacking; therefore web search engines cannot be seen as a replacement for bibliographic databases at this time. The authors recommend improving the quality of reporting in studies regarding literature searching in academia in order for reliable comparisons to be made.

Tools, techniques and sources: searching major bibliographic databases

2021 ◽  
Vol 13 (8) ◽  
pp. 1-8
Author(s):  
Holland Matt ◽  
Dutton Michelle ◽  
Glover Steve
Keyword(s):  
Successful Outcome ◽  
Bibliographic Databases ◽  
Tools And Techniques

This three-part module covers the tools and techniques of searching and sources for research in paramedicine. Part I covers basic search tools and techniques that are widely used in bibliographic databases such as MEDLINE and CINAHL. Part II looks at sources of research and provides you with an approach to searching that are most likely to lead to a successful outcome for your search. Part III takes you through sources of research you might consider after you have searched established sources. There is guidance on how to approach sources critically to avoid junk or predatory publications.

Tools, techniques and sources: searching major bibliographic databases

2021 ◽  
Vol 13 (9) ◽  
pp. 1-8
Author(s):  
Holland Matt ◽  
Dutton Michelle ◽  
Glover Steve
Keyword(s):  
Successful Outcome ◽  
Bibliographic Databases ◽  
Tools And Techniques

This three-part module covers the tools and techniques of searching and sources for research in paramedicine. Part I covers basic search tools and techniques that are widely used in bibliographic databases such as MEDLINE and CINAHL. Part II looks at sources of research and provides you with an approach to searching that are most likely to lead to a successful outcome for your search. Part III takes you through sources of research you might consider after you have searched established sources. There is guidance on how to approach sources critically to avoid junk or predatory publications.

Bowel ischaemia after endovascular aneurysm repair

VASA ◽  
2018 ◽  
Vol 47 (4) ◽  
pp. 273-277
Author(s):  
Christopher Lowe ◽  
Oussama El Bakbachi ◽  
Damian Kelleher ◽  
Imran Asghar ◽  
Francesco Torella ◽  
...  
Keyword(s):  
Case Reports ◽  
Endovascular Aneurysm Repair ◽  
Artery Occlusion ◽  
Bibliographic Databases ◽  
Bowel Ischaemia ◽  
Prophylactic Measures ◽  
Increased Risk ◽  
Prisma Statement ◽  
Meta Analyses ◽  
Aneurysm Repair

Abstract. The aim of this review was to investigate presentation, aetiology, management, and outcomes of bowel ischaemia following EVAR. We present a case report and searched electronic bibliographic databases to identify published reports of bowel ischaemia following elective infra-renal EVAR not involving hypogastric artery coverage or iliac branch devices. We conducted our review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement standards. In total, five cohort studies and three case reports were included. These studies detailed some 6,184 infra-renal elective EVARs, without procedure-related occlusion of the hypogastric arteries, performed between 1996 and 2014. Bowel ischaemia in this setting is uncommon with an incidence ranging from 0.5 to 2.8 % and includes a spectrum of severity from mucosal to transmural ischaemia. Due to varying reporting standards, an overall proportion of patients requiring bowel resection could not be ascertained. In the larger series, mortality ranged from 35 to 80 %. Atheroembolization, hypotension, and inferior mesenteric artery occlusion were reported as potential causative factors. Elderly patients and those undergoing prolonged procedures appear at higher risk. Bowel ischaemia is a rare but potentially devastating complication following elective infra-renal EVAR and can occur in the setting of patent mesenteric vessels and hypogastric arteries. Mortality ranges from 35 to 80 %. Further research is required to identify risk factors and establish prophylactic measures in patients that have an increased risk of developing bowel ischaemia after standard infra-renal EVAR.

Medical Literature Searches -How Many Bibliographic Databases are Needed for Sufficient Retrieval in Medical Topics?

1985 ◽  
Vol 24 (03) ◽  
pp. 163-165 ◽  
Author(s):  
K. John
Keyword(s):  
Medical Literature ◽  
Cost Effective ◽  
Medical Faculty ◽  
Bibliographic Databases ◽  
Literature Searches ◽  
Selection Of

SummaryAs many bibliographic services in medicine are offered, literature searches in eight databases at DIMDI were performed to find out which database is most important in medicine. The distribution of publications from members of the medical faculty of Frankfurt University was examined. No save prediction is possible as to which database will yield most articles. Overlapping from different databases is often rather low. The selection of an appropriate database mix for sufficient recall and in a cost-effective manner.is a task for an experienced searcher.

A Review on Big Data Analytics in Business

2018 ◽  
pp. 210-214
Author(s):  
Manbir Sandhu ◽  
Purnima, Anuradha Saini
Keyword(s):  
Big Data ◽  
Big Data Analytics ◽  
Smart Devices ◽  
Data Streaming ◽  
Huge Amount ◽  
Business Units ◽  
Enormous Amount ◽  
Tools And Techniques ◽  
Heath Care ◽  
Data Analytic

Big data is a fast-growing technology that has the scope to mine huge amount of data to be used in various analytic applications. With large amount of data streaming in from a myriad of sources: social media, online transactions and ubiquity of smart devices, Big Data is practically garnering attention across all stakeholders from academics, banking, government, heath care, manufacturing and retail. Big Data refers to an enormous amount of data generated from disparate sources along with data analytic techniques to examine this voluminous data for predictive trends and patterns, to exploit new growth opportunities, to gain insight, to make informed decisions and optimize processes. Data-driven decision making is the essence of business establishments. The explosive growth of data is steering the business units to tap the potential of Big Data to achieve fueling growth and to achieve a cutting edge over their competitors. The overwhelming generation of data brings with it, its share of concerns. This paper discusses the concept of Big Data, its characteristics, the tools and techniques deployed by organizations to harness the power of Big Data and the daunting issues that hinder the adoption of Business Intelligence in Big Data strategies in organizations.

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