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Enregistrement W4400087677 · doi:10.1111/inr.13005

Urgent reforms needed in nursing education and practice in Bangladesh

2024· letter· en· W4400087677 sur OpenAlexaff
Shimpi Akter, Humayun Kabir, Masuda Akter

Notice bibliographique

RevueInternational Nursing Review · 2024
Typeletter
Langueen
DomaineMedicine
ThématiqueGlobal Maternal and Child Health
Établissements canadiensMcMaster UniversityImpact
Organismes subventionnairesnon disponible
Mots-clésNursingMedicineNurse education

Résumé

récupéré en direct d'OpenAlex

Dear Editor, Since gaining independence in 1971, Bangladesh has achieved significant developmental goals, such as achieving many of its Millennium Development Goals (Roy & Datta, 2021). Nurses are the key to the healthcare system, but nurses in Bangladesh still grapple with considerable challenges due to outdated educational practices and inadequate attention to nursing education and the profession (Lee et al., 2016). Nurses perform a crucial role in healthcare, but the academic infrastructure that supports them is often inadequate, affecting the preparation of professionals and consequently restricting their ability to provide high-quality care to patients. Outdated educational infrastructure produces significant barriers that impede nurses from realizing their full potential. Furthermore, there is a noticeable absence of literature aimed at assessing the current situation, and more research and funding are required to determine essential changes. The formalization of nursing in Bangladesh began shortly after independence with the introduction of a diploma program in nursing (Hadley & Roques, 2007). By 1977, the country introduced both the post-basic Bachelor of Science in Nursing (for diploma in nursing degree holders) and a four-year Bachelor of Science in Nursing (BScN) (Joarder, 2021). Unfortunately, the opening of the BScN program was met with criticism and was temporarily halted due to protests from diploma-holding nurses and students, who feared that BScN graduates would receive preferential benefits (Joarder, 2021). The program was reintroduced on a small scale in some private universities in 1980 and expanded to government universities in 2008 (Joarder, 2021; Khan Rony, 2021). In Bangladesh, government jobs are categorized into various classes, such as first, second, third, and fourth class, which determine status and pay. Nursing was recognized as a second-class profession in Bangladesh only in 2011, an upgrade from its earlier third-class status. While physicians and dentists are classified as first-class employees, the advancement of nurses to second-class underscored significant progress in acknowledging the importance and stature of nurses in the public sector (Joarder, 2021). A major obstacle in nursing education is the absence of established quality assurance for nursing education programs in Bangladesh (Lee et al., 2016). Most universities in Bangladesh typically offer accreditation to various public and private colleges to run BScN programs, with a BScN program seldom available on their main campuses. Furthermore, the absence of formal mechanisms and adequate research complicates the situation for nurse educators, who frequently face resource constraints, making it difficult to systematically identify and address issues within their programs (Berland, 2014). Consequently, most nurses in Bangladesh cease their education after obtaining a bachelor's degree (Lee et al., 2016). Due to limited opportunities for advanced education, only a small number of nurses go abroad to pursue a master's or more advanced education in nursing. Instead, most nurses opt for more readily available degrees, such as a Master of Public Health (Lee et al., 2016). Only very recently have a few colleges and universities begun to offer the MSc in Nursing in Bangladesh (Daily Sun, 2017). Because there are no PhD programs or research-based master's degrees in nursing locally, the potential of nursing research to enhance nursing education and practice in Bangladesh is limited. In addition to these educational limitations, nurses in Bangladesh are not permitted to prescribe medications, as the country does not recognize Nurse Practitioner degrees, even those obtained from abroad (Berland, 2014). Enabling nurses to become Nurse Practitioners and allowing them to practice independently, particularly in rural settings, could significantly enhance healthcare services. This situation warrants critical questions: Who is accountable for hindering the progress of nurses in Bangladesh? Why there seem to be a push to maintain lower educational standards for nurses in the country? What advantages does this approach offer, and who stands to gain from it? Additionally, how do these benefits impact patient health and well-being? These pressing questions need to be addressed by future research to help achieve the developmental goals of Bangladesh in the health sector. There is an urgent need for stakeholders in the health and education sectors to prioritize reforms in nursing education and practice. By tackling these academic challenges, Bangladesh could better equip its nursing workforce to handle the demands of modern healthcare and enhance the quality of care provided to its population, fulfilling the commitments made to the United Nations. Conceptualization: Shimpi Akter and Masuda Akter. Supervision: Humayun Kabir and Masuda Akter. Original writing: Shimpi Akter and Masuda Akter. Critical revisions for important intellectual content: Shimpi Akter, Masuda Akter, and Humayun Kabir. The author declared no acknowledgments for this work. The author declared no competing interest in this work. The author received no financial support for this work. Ethical approval is not required for this work.

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)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,286
Score d'incertitude au seuil0,754

Scores Codex et Gemma par catégorie

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

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 Opus0,022
Tête enseignante GPT0,401
Écart entre enseignants0,379 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

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

En bref

Citations5
Publié2024
Routes d'admission1
Résumé présentoui

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