A Search Engine to Access PubMed Monolingual Subsets: Proof of Concept and Evaluation in French

Griffon, Nicolas; Schuers, Matthieu; Soualmia, Lina Fatima; Grosjean, Julien; Kerdelhué, Gaëtan; Kergourlay, Ivan; Dahamna, Badisse; Darmoni, Stéfan Jacques

doi:10.2196/jmir.3836

Cited by 7 publications

(5 citation statements)

References 9 publications

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“…Some research tools already provide an automatic translation of a biomedical text, including titles and abstracts and using the MEDLINE database [ 18 ]. Other tools increase the information retrieval task performance by allowing non–native-English speakers to access PubMed references written in their native language: BabelMeSH [ 3 , 4 ], Patient, Intervention, Comparison, Outcome (PICO) Linguist [ 4 ] and LiSSa [ 5 ]. According to Gagnon et al, educational meetings currently seem to be the only type of interventions showing a significant positive effect on clinical information retrieval technologies adoption by healthcare professionals [ 19 ].…”

Section: Discussionmentioning

confidence: 99%

“…Nevertheless, some tools are, in fact, available to help non–native-English speakers to access PubMed references written in their native language: i.e. BabelMeSH [ 3 , 4 ], Patient, Intervention, Comparison, Outcome (PICO) Linguist [ 4 ] and LiSSa [ 5 ]. Although some of these tools have demonstrated a high level of precision and coverage [ 5 ], they can only permit limited access to available evidence.…”

Section: Introductionmentioning

confidence: 99%

“…BabelMeSH [ 3 , 4 ], Patient, Intervention, Comparison, Outcome (PICO) Linguist [ 4 ] and LiSSa [ 5 ]. Although some of these tools have demonstrated a high level of precision and coverage [ 5 ], they can only permit limited access to available evidence.…”

Section: Introductionmentioning

confidence: 99%

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Lost in translation? A multilingual Query Builder improves the quality of PubMed queries: a randomised controlled trial

Schuers¹,

Joulakian²,

Kerdelhué³

et al. 2017

BMC Med Inform Decis Mak

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BackgroundMEDLINE is the most widely used medical bibliographic database in the world. Most of its citations are in English and this can be an obstacle for some researchers to access the information the database contains. We created a multilingual query builder to facilitate access to the PubMed subset using a language other than English. The aim of our study was to assess the impact of this multilingual query builder on the quality of PubMed queries for non-native English speaking physicians and medical researchers.MethodsA randomised controlled study was conducted among French speaking general practice residents. We designed a multi-lingual query builder to facilitate information retrieval, based on available MeSH translations and providing users with both an interface and a controlled vocabulary in their own language. Participating residents were randomly allocated either the French or the English version of the query builder. They were asked to translate 12 short medical questions into MeSH queries. The main outcome was the quality of the query. Two librarians blind to the arm independently evaluated each query, using a modified published classification that differentiated eight types of errors.ResultsTwenty residents used the French version of the query builder and 22 used the English version. 492 queries were analysed. There were significantly more perfect queries in the French group vs. the English group (respectively 37.9% vs. 17.9%; p < 0.01). It took significantly more time for the members of the English group than the members of the French group to build each query, respectively 194 sec vs. 128 sec; p < 0.01.ConclusionsThis multi-lingual query builder is an effective tool to improve the quality of PubMed queries in particular for researchers whose first language is not English.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Lost in translation? A multilingual Query Builder improves the quality of PubMed queries: a randomised controlled trial

Schuers¹,

Joulakian²,

Kerdelhué³

et al. 2017

BMC Med Inform Decis Mak

Self Cite

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“…In total, 3 companies were partners in the project: Elsevier Masson, one of the world’s leading science publishers, and the French start-ups Alicante and Sensegate. The LiSSa.fr [ 25 ] website ( Figure 1 ) was published in 2014 [ 29 ]. Initial evaluations by GPs revealed a lack of relevance to the search results.…”

Section: Introductionmentioning

confidence: 99%

Designing Formulae for Ranking Search Results: Mixed Methods Evaluation Study

Douzé¹,

Pelayo²,

Messaadi³

et al. 2022

JMIR Hum Factors

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Background A major factor in the success of any search engine is the relevance of the search results; a tool should sort the search results to present the most relevant documents first. Assessing the performance of the ranking formula is an important part of search engine evaluation. However, the methods currently used to evaluate ranking formulae mainly collect quantitative data and do not gather qualitative data, which help to understand what needs to be improved to tailor the formulae to their end users. Objective This study aims to evaluate 2 different parameter settings of the ranking formula of LiSSa (the French acronym for scientific literature in health care; Department of Medical Informatics and Information), a tool that provides access to health scientific literature in French, to adapt the formula to the needs of the end users. Methods To collect quantitative and qualitative data, user tests were carried out with representative end users of LiSSa: 10 general practitioners and 10 registrars. Participants first assessed the relevance of the search results and then rated the ranking criteria used in the 2 formulae. Verbalizations were analyzed to characterize each criterion. Results A formula that prioritized articles representing a consensus in the field was preferred. When users assess an article’s relevance, they judge its topic, methods, and value in clinical practice. Conclusions Following the evaluation, several improvements were implemented to give more weight to articles that match the search topic and to downgrade articles that have less informative or scientific value for the reader. Applying a qualitative methodology generates valuable user inputs to improve the ranking formula and move toward a highly usable search engine.

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“…14 Ovid Technologies provide natural language search interfaces in eight languages (English, French, German, Spanish, Simplified Chinese, Traditional Chinese, Japanese, Korean). 15 PubMed is developing multilingual search engine interfaces, 16 as well as allowing users to search for transliterated titles using English characters. 17 The Cochrane Collaboration established its multi-language strategy in 2014, where the Cochrane Community provides human (and some machine) translation of Cochrane content into 15 languages, with 23,006 translations of abstracts and plain language summaries published by December 2017.…”

Section: Introductionmentioning

confidence: 99%

Tackling the language barrier to implementing research into practice: A survey of usage of the Physiotherapy Evidence Database

Melman

Elkins

Kamper

et al. 2020

Brazilian Journal of Physical Therapy

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Background: Language is a barrier to implementing research evidence into practice. Whilst the majority of the world's population speak languages other than English, English has become the dominant language of publication for research in healthcare. Objective: The aim of this study was to quantify the usage of the Physiotherapy Evidence Database (PEDro) web-site (www.pedro.org.au) and training videos by language, including the use of online translation, and to calculate relative usage of the different sections of the website. Methods: Google Analytics was used to track usage of the PEDro web-site for July 2017 to June 2018. The number of views of each of the PEDro training videos was downloaded from YouTube for January 2015 to August 2018. The pageviews and videos were categorized by language and, for pageviews, web-site section. Results: 2,828,422 pageviews were included in the analyses. The English-language sections had the largest number of pageviews (58.61%), followed by Portuguese (15.57%), and Spanish (12.02%). Users applied online translation tools to translate selected content of the PEDro website into 41 languages. The PEDro training videos had been viewed 78,150 times. The three most commonly viewed languages were English (58.80%), Portuguese (19.83%), and Spanish (6.13%). Conclusions: There was substantial use of some of the translated versions of the resources offered by PEDro. Future efforts could focus on region-specific promotion of the language resources that are underutilized in PEDro. The developers of PEDro and PEDro users can work collaboratively to facilitate uptake and translate resources into languages other than English to reduce the language barrier in using research to guide practice.

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A Search Engine to Access PubMed Monolingual Subsets: Proof of Concept and Evaluation in French

Cited by 7 publications

References 9 publications

Lost in translation? A multilingual Query Builder improves the quality of PubMed queries: a randomised controlled trial

Lost in translation? A multilingual Query Builder improves the quality of PubMed queries: a randomised controlled trial

Designing Formulae for Ranking Search Results: Mixed Methods Evaluation Study

Tackling the language barrier to implementing research into practice: A survey of usage of the Physiotherapy Evidence Database

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