Factors explaining the shortage and poor retention of qualified health workers in rural and remote areas of the Kayes, region of Mali: a qualitative study
Notice bibliographique
Résumé
INTRODUCTION: Shortage of health workers is a worldwide problem but is particularly critical in sub-Saharan Africa. In Mali, the number of health workers is insufficient and their retention is low, particularly in rural and remote areas. Rural postings are unattractive to health workers. Very few studies have examined the factors contributing to the shortage and poor retention of health workers in Mali. The objective of this study is to identify and understand these factors with regards to skilled health workers in two rural health districts (Yélimané and Bafoulabé) in the region of Kayes, Mali. METHODS: This qualitative study is based on the conceptual framework of Lehman, Dieleman and Martineau. Data were collected through 46 in-depth interviews with health workers and decision-makers. A thematic content analysis was conducted with the support of QDA Miner software. RESULTS: The study identified factors contributing to the insufficient allocation and poor retention of rural health workers in these districts. They are individual-level factors (gender, family situation, age), unattractive living and working conditions, community recognition and participation, quality of leadership, an unfavourable recruitment/assignment process and insufficient financial incentives. It shows that female staff have specific constraints that prevent them from deploying to or staying in rural areas for long periods. In addition, the number of staff recruited at the national level is unpredictable and insufficient, while their recruitment and assignment process is perceived to be inequitable and not very transparent, disadvantaging rural health structures. Some strategies were identified to improve the availability and retention of health workers in these areas. They take into account certain social norms, notably gender roles, and include the improvement of living and working conditions, as well as the strengthening of health workforce management. CONCLUSION: This study's findings highlight the multifaceted nature of factors contributing to the availability and retention of health workers in rural and remote areas of sub-Saharan Africa and the challenges associated with them. This study identifies some strategies that can be combined to facilitate the retention and availability of health workers in these areas. Some strategies involve actors outside the health sector, requiring joint efforts for their implementation. This research provides decision-makers with evidence to support informed decision making with regards to the retention of health workers in rural areas.
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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 | 0,003 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».