Non-physician providers of obstetric care in Mexico: Perspectives of physicians, obstetric nurses and professional midwives
Notice bibliographique
Résumé
BACKGROUND: In Mexico 87% of births are attended by physicians. However, the decline in the national maternal mortality rate has been slower than expected. The Mexican Ministry of Health's 2009 strategy to reduce maternal mortality gives a role to two non-physician models that meet criteria for skilled attendants: obstetric nurses and professional midwives. This study compares and contrasts these two provider types with the medical model, analyzing perspectives on their respective training, scope of practice, and also their perception and/or experiences with integration into the public system as skilled birth attendants. METHODOLOGY: This paper synthesizes qualitative research that was obtained as a component of the quantitative and qualitative study that evaluated three models of obstetric care: professional midwives (PM), obstetric nurses (ON) and general physicians (GP). A total of 27 individual interviews using a semi-structured guide were carried out with PMs, ONs, GPs and specialists. Interviews were transcribed following the principles of grounded theory, codes and categories were created as they emerged from the data. We analyzed data in ATLAS.ti. RESULTS: All provider types interviewed expressed confidence in their professional training and acknowledge that both professional midwives and obstetric nurses have the necessary skills and knowledge to care for women during normal pregnancy and childbirth. The three types of providers recognize limits to their practice, namely in the area of managing complications.We found differences in how each type of practitioner perceived the concept and process of birth and their role in this process. The barriers to incorporation as a model to attend birth faced by PMs and ONs are at the individual, hospital and system level. GPs question their ability and training to handle deliveries, in particular those that become complicated, and the professional midwifery model particularly as it relates to a clinical setting, is also questioned. CONCLUSIONS: Hospitals in the Mexican public health sector have a heavy obstetric workload; physicians carry the additional burden of non-obstetric cases. The incorporation of a non- physician model at the primary health center level to attend low-risk, normal deliveries would contribute to the reduction of non-necessary referrals. There is also a role for these providers at the hospital level.
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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 | 0,004 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,006 | 0,002 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,002 |
| 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 ».