Notice bibliographique
Résumé
The conundrum ‘too little, too late’, suggesting that interventions in labour are performed late or not at all due to lack of resources or accessibility, nowadays sometimes becomes ‘too much, too soon’, judging from the global caesarean section pandemic that has been surging in the last decade. A significant increase in caesarean sections is seen in high-, middle- and low-income settings, often without clear medical indication. This increase is partly fuelled by the challenges that health workers encounter when it comes to arriving at appropriate diagnosis and management of prolonged labour. This thesis describes the experiences and challenges regarding the diagnosis of prolonged labour and subsequent clinical decision-making, particularly around caesarean section in St. Luke’s Hospital, Malosa, Malawi. Chapter 2 points out the lack of a universal approach to prolonged labour: a plenitude of synonyms are used internationally to explain a similar phenomenon. Consensus would facilitate research into prolonged labour and appropriate use of caesarean section, and enable comparisons of incidence and management of prolonged labour between settings.When prolonged labour is established, actions need to be undertaken to accelerate the labour progress. Chapter 3 describes the incidence of prolonged first stage of labour in St. Luke’s Hospital, and the use of the various interventions pertaining to its management. Only a small proportion of women who crossed the action line in the first stage received oxytocin to augment labour and of all caesarean sections performed for prolonged labour, the action line was crossed in less than half of these women. Chapter 4 shows that twice as many caesarean sections as vacuum extractions were performed in case of prolonged second stage of labour. These findings suggest that there are important opportunities to extend the use of less invasive interventions before proceeding to caesarean section. It is crucial to identify women in need of caesarean section, and avoid performing unnecessary procedures, considering the risks. Prolonged first or second stage was sometimes diagnosed without being evident from labour tracings, as seen in chapter 5. This chapter describes the role of Dutch physicians Global Health and Tropical Medicine, a unique specialty training in the Netherlands, preparing doctors for work in low- and middle- income settings. Their presence appeared to influence decision-making around caesarean section. Through audit, the percentage of possibly unnecessary caesarean sections could be decreased. A crucial aspect, when it comes to interventions in labour and especially caesarean section, is the informed consent process. This important element of respectful maternity care does often not sufficiently take place, as previous studies have also shown. Chapter 6 shows that with a simple, locally designed intervention, consisting of a simulation training in informed consent, a poster with key points and an informed consent checklist, the process could be improved. Barriers hampering optimal informed consent were identified by involved health workers through a qualitative study (chapter 7): fear of blame and litigation, partial disclosure of risks in order not to scare women, and other barriers to communication played a role. Lastly, this thesis includes a reflection on the performed research projects and a viewpoint on global health research in general, where we find that opportunities are not fairly distributed (chapter 8). Concluding, adequate management of prolonged labour and an optimal informed consent process are fundamental in preventing unnecessary caesarean sections and providing respectful and equitable birth care, which could contribute to the goal of reduced maternal and perinatal morbidity and mortality. Audit, analysis of local data and low-cost, co-created and context- specific interventions can help achieve this goal. Health care workers and researchers must work together, and reflection on one’s role is vital.
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 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 | 0,003 | 0,014 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,007 | 0,009 |
| Communication savante | 0,006 | 0,007 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,004 | 0,010 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,052 | 0,027 |
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 ».