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Enregistrement W4392706188 · doi:10.61915/pnd.556655

Maternal and Child Health Implementation Research in Mozambique: Effective community interventions to promote sexual and reproductive health

2021· article· en· W4392706188 sur OpenAlexafffundabout
Paulo Pires, Martins Mupueleque, D Zakus, Jaibo Mucufo, Ahmed Abdirazak, Cynthia Macaringue, R Siemens, Celso Belo

Notice bibliographique

RevueSpecial Journal of Public Health Nutrition & Dietetics · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueGlobal Maternal and Child Health
Établissements canadiensUniversity of SaskatchewanPublic Health Ontario
Organismes subventionnairesUniversity of Saskatchewan
Mots-clésReproductive healthHealth facilityPopulationQualitative propertyMedicineFocus groupPsychological interventionCommunity healthNursingMedical educationPublic healthFamily medicineEnvironmental healthBusinessComputer science

Résumé

récupéré en direct d'OpenAlex

Background: High maternal and neonatal mortality rates in Mozambique, are due to adolescent pregnancies, difficulties in accessing health services, traditional constraints, and gender inequalities. An implementation research project, Alert Community to Prepared Hospital in Natikiri, Nampula, Mozambique was developed to reduce maternal and newborn mortality. From 2016 to 2020, it implemented activities to improve population knowledge and function in sexual and reproductive health, and to enable community participation in maternal health services. In this paper, we assessed and discussed the impact of community participation on improving sexual and reproductive health. Methods: The “Alert Community to Prepared Hospital” was an implementation research program with community intervention and programmed mid-term evaluations. It used mixed methods research design such as descriptive quantitative surveys, qualitative focus group discussions, and interviews, applied from 2017 to 2020. Local health committees, traditional birth attendants, traditional healers, and local leaders all participated: trained in sexual and reproductive health and participated in radio discussion groups; community and hospital members of the co-management committee enabled local programming. Maternal and child health indicators were evaluated with the health unit’s statistical operational data. Quantitative data were captured in Microsoft Office Excel, analysed with SPSS21 to find the frequency, percentage, mean and standard deviation; qualitative data were registered in Microsoft Office Word and analysed with Nvivo software. This research received bioethical approvals from both the Mozambican and Canadian universities and followed all Helsinki Declaration recommendations. Results: Comparing changes from 2016 to 2019, the number of health committees operating in Natikiri rose from 7 to 20. Each committee integrated four Family Health Champions, who attained 24738 residents with health education interventions on reproductive health and rights. A theatre group developed dramas about the same key messages and presented the plays in local communities. Population access to contraceptives was facilitated, from 42% to 91% in women and from 65% to 90% in men. At Marrere Health Centre, women with four ante-natal visits rose by 185%, and children less than one year of age’ surveillance visits raised by 89%; at Marrere General Hospital’ maternity deliveries rose 60%. Conclusion: Community participation, at all levels of maternal and child health service care continuum, from families, health committees, and communities to health centres and hospitals, enhanced with complementary interventions well contextualized, sexual, and reproductive health and rights key messages broadcasted, discussed, and presented by local theatre groups, is effective in improving adolescent and adult sexual and reproductive health. Plain English summary An Alert Community to a Prepared Hospital Implementation Research Project was carried out in Natikiri, Nampula, Mozambique, from 2016 to 2020, aiming to reduce maternal and neonatal mortality rates, considered priority public health problem in this country. It deployed activities to improve population knowledge and behaviour in sexual and reproductive health and rights and enable community participation in maternal and newborn health services: classroom training, community radio discussion groups, and drama performances. Using mixed-methods research to evaluate results with local health committees, traditional birth attendants, traditional healers, and local leadership, we compared the evolution of maternal and child health indicators at health units. Comparing changes from 2016 to 2019, the number of local health committees rose, attaining 24738 residents with health education interventions, population access to contraceptives was facilitated, from 42% to 91% in women and from 65% to 90% in men, women with four antenatal visits rose by 185%, children less than one year of age’ surveillance visits rose by 89%; and hospitals’ maternity deliveries rose by 60%. Community participation in maternal and child health service care has been demonstrated to be effective in improving adolescent and adult sexual and reproductive health. Trial registration This maternal and child health study was approved by the Lúrio University Bioethics Committee (02/CBISUL/16) and the Behavioural Ethics Board at the University of Saskatchewan (BEH#15-112), and was not registered in any database. Keywords: Maternal and child health, community, family planning, health services, implementation research, Mozambique, participation, pregnancy, reproductive and sexual health.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,025
score de la tête « metaresearch » (Gemma)0,018
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,101
Score d'incertitude au seuil0,201

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0250,018
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0030,002
Communication savante0,0020,001
Science ouverte0,0010,003
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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.

Tête enseignante Opus0,137
Tête enseignante GPT0,475
Écart entre enseignants0,338 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2021
Routes d'admission3
Résumé présentoui

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