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Enregistrement W4311843602 · doi:10.5195/ijms.2022.1795

Gender Differences in Attitude and Barriers to Research by Medical Undergraduate Students in Nigeria

2022· article· en· W4311843602 sur OpenAlexaboutno aff
Kenechukwu Okwunze, Efosa Peace Iyawe, Ifunanya Prosper Agughalam, Aisha Yahya, Priscilla Awoyomi, Emmanuel Metajuwa-kuda, C A Nwamadiegesi, Mayomikun Olawale, Stephen Chukwuemeka Igwe

Notice bibliographique

RevueInternational Journal of Medical Students · 2022
Typearticle
Langueen
DomaineMedicine
ThématiqueHealth and Medical Research Impacts
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLikert scaleMedical educationCurriculumTest (biology)Scale (ratio)Scope (computer science)PsychologyFamily medicineQuarter (Canadian coin)Health careMedicinePedagogyPolitical scienceGeography

Résumé

récupéré en direct d'OpenAlex

Background.
 Medical research, one of the pillars of medical education plays a crucial impact in advancing healthcare by improving the diagnosis, treatment, and prevention of illnesses. It is important to ensure that medical students and early career physicians are involved to research outside the curriculum at an early stage of training. This early involvement has been widely known to increase one’s likelihood of building a career in research.
 In Nigeria, the gender composition of research personnel in universities is alarming as less than a quarter are female. There is a need to describe the factors responsible for this imbalance in order to inform stakeholders on where actionable measures can be taken.
 
 Aim
 To examine the gender differences in the attitude towards research, willingness to undertake research, and barriers to research reported by undergraduate clinical students in Nigeria.
 
 Methods
 Six hundred and seventy-two (672) undergraduate medical students in their fourth to sixth years of study in seven selected medical schools across Nigeria completed an electronic survey in August 2022. The survey which was hosted on REDCap was adapted from published works which addressed a similar scope and comprised of 56 items divided into five sections. Gender differences in research experience, willingness to participate in research, attitude towards research and barriers that hinder participation in research were explored using a chi-square test. Variables were collected using a 5-point Likert scale ranging from strongly disagree to agree with a “neutral midpoint” and SPSS version 25 was used in the analysis.
 Results
 Although an equal proportion of male and female students reported voluntary involvement in research, 56.2% of male students and 28.8% of female students perceived research as exciting and enjoyable (p<0.001) and 37.5% of male students vs 47.0 of female students perceived research as being complicated. 
 Male students were more willing to spend more than 3 months on a research project (56.0% vs 42.5%, p<0.001), devote as much time to research as to medical studies (40.1% vs 28%, p=0.002), and to pursue a research-oriented career in the future (49.3% vs 32%, p<0.001).
 Overall, male students reported a higher number of barriers than female students. However, lack of personal interest in research (19.2% vs 26.9%, male vs female students, p=0.011) and insufficient training in research methodology (70.1% vs 81.7%, male vs female students, p=0.009) were reported more by female students. 
 
 Conclusion
 Although there are no gender differences in the composition of students who report prior voluntarily involvement in research, there are gender differences in the attitude and willingness as well as barriers encountered by clinical students to carry out research. Tailored measures should be developed around the peculiar barriers expressed by female medical students.
 
 
 
 
 
 
 
 
 
 
 
 
 

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)0,022
score de la tête « metaresearch » (Gemma)0,057
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 consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,128
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0220,057
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0030,001
Intégrité de la recherche0,0000,003
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,157
Tête enseignante GPT0,545
Écart entre enseignants0,388 · 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; un appel candidat d’une seule tête enseignante, pas un consensus.

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

Citations3
Publié2022
Routes d'admission1
Résumé présentoui

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