Breaking down barriers; unravelling the root causes and effects of brain drain in Pakistan
Notice bibliographique
Résumé
Respected Editor, The term ‘brain drain’ refers to the migration of highly skilled and educated professionals from one country to another in search of better employment and living conditions. Brain drain has a detrimental impact on developing nations, leaving a counterproductive outcome due to the depletion of skilled human resources. According to the Pakistan Overseas Employment Corporation, around 21,000 professionals have migrated to other countries in the last 15 years.1 Brain drain has a pervasive effect across various domains, with healthcare being primarily one of the greatly affected. The most prevalent reason is the insufficient stipends and substandard workplace settings for professionals. Doctors work tirelessly yet are forced to face the injustice of the system, incidents of violence, and exploitation at the hands of their superiors. Most doctors (83%) agreed that meager salary packages and inequitable overtime duties motivated them to move abroad.2 Political instability in Pakistan has also affected the resettlement of healthcare individuals nationwide. Up to 81% of doctors are compelled to leave the country due to constant political turmoil.3 Blatant misogyny and cultural bounds have deterred women from working, contradicting the high female enrollment in medical colleges of Pakistan. Moreover, because of the brain drain, Pakistan is losing an insurmountable intellectual capital and educational investment, resulting in enormous pressure on the healthcare professionals who stay behind, contributing to the collapse of the already vulnerable system. Usually, the emigrants are of the privileged class which creates disparity because the ones left behind end up facing impecunious conditions and unfair working hours. The migration rate of healthcare professionals in Pakistan is increasing progressively. The United States, the United Kingdom, Canada, and Australia are four high-income countries where 56% of international medical graduates (IMGs) emigrate from low-income countries to have a better quality of life, monetary incentives, job opportunities, better education, and training. Furthermore, just three nations India, Pakistan, and the Philippines are home to 45% of IMGs.4,5 Therefore, we suggest that the government adopt strategies that will accommodate doctors, introducing remunerative packages and more employment opportunities to persuade them to serve their nation. The government should ameliorate the workplace environment to international standards, ensuring the safety and security of the professionals. Additionally, educational and training grounds should be provided to individuals to develop their skills. These immediate measures must be taken to minimize the escalating brain drain and aid in revamping the healthcare system of Pakistan.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,010 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».