Migration of Spanish nurses 2009–2014. Underemployment and surplus production of Spanish nurses and mobility among Spanish registered nurses: A case study
Notice bibliographique
Résumé
BACKGROUND: After the financial crisis of 2008, increasing numbers of nurses from Spain are going abroad to work. OBJECTIVES: To examine the health and workforce policy trends in Spain between 2009 and 2014 and to analyze their correlation with the migration of nurses. DESIGN: Single embedded case study. DATA SOURCES: We examined data published by: Health Statistics, Organization for Economic Cooperation and Development (1996 to 2013); Ministry of Education, Culture and Sports (2006 to 2013); Ministry of Employment and Social Security (2009 to 2014); Ministry of Health, Social Services and Equality (1997 to 2014); and National Institute of Statistics (1976 to 2014). In addition to reviewing the scholarly literature on the topic in Spanish and English, we also examined Spanish mobility laws and European directives. POPULATION: We used the Organization for Economic Cooperation and Development definition of "professionally active nurses" which defines practising nurses and other nurses as those for whom their education is a prerequisite for employment as a nurse. Moreover, we used the term "nursing graduate" as defined by Spanish Ministry of Education to describe those who have obtained a recognized qualification in nursing in a given year, the term "registered nurses" is defined by Spanish law as nurses registered in the Nurses Associations and "unemployed nurses" are those without work and registered as seeking employment. RESULTS: A transformation of the Spanish health system has reduced the number of employed nurses per capita since 2010. Moreover, reductions in public spending, labour market reforms and widespread unemployment have affected nurses in two ways: first by increasing the number of applicants per vacancy between 2009 and 2013, and second, by an increase in casual positions. However, despite the poor job market and decreasing job security, the number of registered nurses and nursing graduates in Spain per year has continued to grow, increasing the pressure on the labour market. CONCLUSIONS: Spain is transforming from a stable nursing labour market, to one that is increasingly producing nurses for foreign markets, principally in Europe. With its low birth rate, increased life expectancy and increasing rates of chronic disease, it is critical for Spain to have sufficient nurses now and into the future. It is important that there be continued study of this phenomenon by Spanish policy makers, health service providers and educators in order for Spain to develop health human resources policies that address the health care needs of the Spanish population.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».