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Enregistrement W4401442658 · doi:10.4103/picr.picr_60_24

A questionnaire-based study on literature searches among medical postgraduates

2024· article· en· W4401442658 sur OpenAlexaboutno aff
R. Yukesh, Ushakiran Prayaga

Notice bibliographique

RevuePerspectives in Clinical Research · 2024
Typearticle
Langueen
DomaineHealth Professions
ThématiqueHealth Sciences Research and Education
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCategorical variableIBMMedical educationData collectionPresentation (obstetrics)PsychologyFamily medicineComputer scienceMedicineStatistics

Résumé

récupéré en direct d'OpenAlex

INTRODUCTION Literature searching databases such as PubMed support the search and retrieval of biomedical and life sciences literature to improve health both globally and personally.[1] It is important during the postgraduate period as they were learning and need to update their knowledge about recent advances, evidence-based practice, etc., Evidence gathered through literature search can be used to answer a clinical question, write a research or review article, prepare a presentation, etc.[2] METHODS Study design The questionnaire-based study was focused on medical postgraduates’ knowledge, attitude, and practice (KAP) toward literature searching. The primary version was developed through a wide literature review using PubMed. Validation of questionnaire Validity of the questionnaire was randomly done on 15 selected participants and was performed by experts at the Department of Pharmacology, Rangaraya Medical College. The domains containing 4 awareness-related, 6 knowledge-related, 8 attitude-related, and 7 practice-related questions were finalized based on the pretest results. Data collection Pretested questionnaire was distributed among all participants through WhatsApp, Telegram, and LinkedIn. Google Forms was used to survey the questionnaire. One day was allotted to them for the collection of the filled forms. Statistical analysis Data were analyzed using IBM SPSS Statistics for Windows, Version 29.0.2.0 Armonk, NY: IBM Corp. Continuous variables were expressed as mean ± standard deviation while categorical variables were measured as percentages. RESULTS Four hundred participants were approached, out of which 226 (56.5%) responded to the questionnaire. Out of 226 participants, 214 (94.7%) were aware of literature searching. In the next phase, data regarding KAP of literature searching among postgraduates were collected from these 214 participants. Out of 214 postgraduates, 84 were 1st-year, 66 were 2nd-year, and 64 were 3rd-year postgraduates. Awareness about literature searching About 5.3% of participants were not aware of literature searching databases. Among the unaware, most of them were 1st-year postgraduates (75%) followed by 2nd-year postgraduates (25%). Knowledge domain Eighty-two percentage knew that literature searching was used to organize information followed by developing questions for further research, to identify lacunae and to synthesize results. About 55.1% knew about Medical Subject Headings and 68.2% knew about the Boolean operator terms such as AND, OR, and NOT. Despite knowledge of Boolean operators, 57.9% were not aware of the symbols for Boolean nesting, Boolean operator OR, search field tag, and wild card symbol. Attitude domain Eighty-five percentage of participants thought that PubMed gives more information than other databases and helps medical professionals (96%). Other than available filters, participants were thinking of adding “Vancouver” style under the cite section (89%); “transgender” under the sex filter (86%); “country” under additional filter (100%); and “case report” under article type. Practice domain Fifty-seven percentage of postgraduates preferred the Boolean operator “AND” to combine different concepts in a search whereas 27.1% preferred “OR.” About 41.1% preferred to use the Boolean operator “OR” to increase the number of results whereas 44.9% preferred “AND.” About 58.9% knew how to use keywords in a search. Despite knowledge of Boolean operators, 66.4% (n = 141) do not know how to use PICO criteria, and only 28% (n = 60) preferred “Clinical queries” to search COVID-19-related queries. DISCUSSION The ability to search the literature is crucial for evidence-based current breakthroughs, systematic reviews, and meta-analyses.[3] In summary, there was a lack of knowledge about advanced search and Boolean operators in this study, but there is a positive attitude toward literature searches. By interpreting the results, it appears that 3rd-year postgraduates had significantly greater knowledge (P = 0.0001) and practice (P = 0.0007) than 1st-year postgraduates. Indeed, there is a lack of clarity regarding the appropriate usage and context for the fundamental search field tags such as (tiab) and (ta) and Boolean operators such as “AND” and “OR.”[3] This study could serve as a foundation for subsequent KAP investigations, given there has not been any research done on KAP regarding literature searches up to this point.[2] This study could not be generalized to a large population due to the small sample size. In conclusion, effective medical curricula must be implemented to improve medical students’ knowledge regarding literature searching. Furthermore, awareness has to be created among medical students through regular classes and workshops. Financial support and sponsorship Nil. Conflicts of interest There are no conflicts of interest.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,059
score de la tête « metaresearch » (Gemma)0,096
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesMétarecherche, Charge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,058
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0590,096
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,004
Études des sciences et des technologies0,0010,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,010
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,597
Tête enseignante GPT0,724
Écart entre enseignants0,126 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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