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Enregistrement W4405617494 · doi:10.1097/ms9.0000000000002768

A call for evidence-based reforms in nursing in Bangladesh

2024· editorial· en· W4405617494 sur OpenAlexaff
Shimpi Akter, Humayun Kabir, Sopon Akter, Masuda Akter

Notice bibliographique

RevueAnnals of Medicine and Surgery · 2024
Typeeditorial
Langueen
DomaineEnvironmental Science
ThématiqueClimate Change and Health Impacts
Établissements canadiensUniversity of AlbertaMcMaster UniversityImpact
Organismes subventionnairesnon disponible
Mots-clésMedicineNursingEvidence-based nursingIntensive care medicineAlternative medicinePathology

Résumé

récupéré en direct d'OpenAlex

Bangladesh achieved independence in 1971, and the nursing profession was formalized shortly thereafter with the sating of a nursing diploma degree at nursing institutes and colleges level but not at any university[1]. The 2-year post-basic bachelor of science in nursing, which was just for the diploma in nursing completed by nurses, and a 4-year bachelor of science in nursing (BScN) degree as a post-secondary school education started in 1977[2]. However, the 4-year BScN program was momentarily halted due to concerns from diploma-holding nurses and students who were concerned that BScN graduates would receive preferential benefits, maybe due to their higher level of education[3]. Nevertheless, the BScN program resumed in 1980 in some private universities on a very small scale, and in 2008, it started in public universities and expanded afterwards[2]. Initially, nurses were deemed a third-class occupation, but nursing was not recognized as a second-class profession in the government payment scale until 2011[4]. Despite this upgrade, in the context of today’s sophisticated healthcare environment, the profession is still considered second-class. While it is within the government’s purview to assign workforce classifications, the continued designation of nurses as second-class requires logical arguments. There needs to be clear evidence demonstrating how this classification benefits the health and well-being of the community and aligns with the goals of contemporary healthcare standards. Clarification is required as to why the nurses have been deemed second class for a long time in Bangladesh. If it is essential to be a nurse as a second-class profession, this must be supported by research and evaluation as well as consider its impact on critical aspects such as inequality reduction, healthcare quality, and the establishment of sustainable healthcare, consistent with Bangladesh’s commitments to the United Nations sustainable development goals[5]. It is worth noting that nurses in Bangladesh are not authorized to administer medications because the country does not recognize nurse practitioner (NP) degrees, including those received from foreign institutions. Furthermore, chances for getting higher education in nursing, such as Master of Science in Nursing degrees (MScN) or PhD in Nursing, have been extremely restricted in Bangladesh, while a few colleges and institutions have recently begun to offer MScN programs, but any research-based program is yet to start in these modern days[6]. As Bangladesh has nearly 174 million people[7], in rural areas with limited healthcare access, the rationale for not allowing a large number of nurses to obtain advanced education and prescribe medication remains mostly unsupported by the literature. On the other hand, with less access to healthcare in rural areas, a large number of patients are compelled to seek medical care in urban centers, imposing considerable financial burdens on the healthcare system and the patients themselves[8]. In this current situation, with the support of literature, it might be a great initiative to enable nurses to become NPs and allowing them to practice independently in rural settings could significantly enhance healthcare services. It may be necessary to reconsider the constraints on nurses’ roles in rural health, possibly creating opportunities for unregulated or unqualified professionals[9]. Even if the government cannot utilize this opportunity to ensure healthcare for all, a pilot program could be implemented to leverage this potential in today’s healthcare environment. Various evaluation methods could also be considered, including policy evaluations, economic evaluations, and comparative analyses with neighbouring countries that have NP programs, such as India. Organizations such as the World Health Organization (WHO), the International Council of Nurses (ICN), and national governmental agencies are ideally suited to undertake these evaluations. Another major issue in the administration of nursing in Bangladesh is the number of individuals without any nursing education and training holding key administrative and managerial positions across clinical environments and up to the Ministry of Health, Bangladesh[10]. These roles are predominantly occupied by non-nurses, posing a significant challenge for nurses to improve their profession in the context of Bangladesh as their inclusivity is very limited. This practice permits individuals lacking the necessary clinical or nursing administrative expertise, often known as the BCS cadre, to fill important positions, thereby marginalizing qualified nurses[11]. Nursing is an established profession worldwide, and there may be no evidence behind such a policy that nurses are unfit for their administrative roles with their nursing education in Bangladesh. Thus, it is crucial to conduct comprehensive research and evaluation to determine the true benefits of the current administrative model on the advancement of nursing in Bangladesh. The prevailing hierarchical structure in the healthcare profession may significantly introduce discrimination against nurses. In both public and private hospitals, leadership roles such as directors or assistant directors are predominantly occupied by other professionals. This arrangement leads to a significant power imbalance in decision-making, often sidelining nurses[11]. For instance, during hospital or health ministry-related deliberations, nurses are commonly left out of teams in Bangladesh, with a marked preference for other healthcare workers during the selection process[12]. Such decision-making decrepitation can heavily favor certain healthcare workers, undermining the valuable contributions and insights of nurses[12]. Therefore, it is critical that the Ministry of Health, Bangladesh, in partnership with international organizations such as the WHO and the ICN, conduct these evaluations to examine the influence of the current administrative model on nursing in Bangladesh. An evidence-based reform that involves nurses in all of their professional decision-making processes around healthcare would result in a supportive environment that empowers the nurses in Bangladesh, ultimately yielding better quality patient care.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,102
score de la tête « metaresearch » (Gemma)0,200
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,102
Score d'incertitude au seuil0,539

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,1020,200
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0030,002
Bibliométrie0,0050,007
Études des sciences et des technologies0,0030,009
Communication savante0,0160,021
Science ouverte0,0070,013
Intégrité de la recherche0,0180,019
Charge utile insuffisante (le modèle a refusé de juger)0,0210,003

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 Opus0,187
Tête enseignante GPT0,422
Écart entre enseignants0,235 · 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 source (Gemma direct ou Codex distillé), 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
GenreÉditorial

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

En bref

Citations4
Publié2024
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueAnnals of Medicine and SurgeryMême sujetClimate Change and Health ImpactsTravaux en français237 207