Developing a group Model of ANC-PNC through human-centered Design (HCD) to Improve MNCH of first-time Mothers (FTMs) in Bangladesh
Notice bibliographique
Résumé
Objective: First-time parenthood is a complex and emotional journey. The gap between demand and quality services for maternal, newborn and child health (MNCH) and family planning (FP) are significant. Lack of time, awareness, and social support are critical challenges of meeting the service requirement for the young and first-time mothers, especially working mothers in urban areas. Objective of the study was to design an intervention model for the young pregnant women and their partners for improving the quality and use of MNCH and FP services and information. Methods: Using a human-centered design (HCD) approach, we conducted 27 in-depth interviews, 10 focus group discussions, and eight mock sessions with first-time mothers, partners, family members, community influencers and service providers in Tongi, Gazipur. During phase 1, we explored the current realities of life and experience of services, both ideal and existing, from perspectives of a diverse set of stakeholders including both health care providers and care seekers. During phase 2, we designed, tested, and iterated the “group model” of antenatal Care through a series of mock sessions, interviews and consultation with service providers and authorities. We recorded, transcribed, and translated the data for collaborative synthesis and analysis process to generate insight and opportunities for optimizing service delivery and uptake. Results: The study findings spoke for the need of providing group sessions for first time parents, social support from peers and family members and capacity development of the service providers. After careful consideration of the stakeholder needs and preferences, the national guidelines and the local implementing partner’s available resources, we arrived at the recommended group model inclusive of five Group Antenatal Care (GANC) and two group Postnatal Care (GPNC) for mothers. All the pregnant women underwent through clinical checkups by medically trained professionals, mainly midwives and doctors. The group model also includes two GANC and one GPNC for fathers, as well as informative sessions for companions. The prototype model included five GANC and two GPNC sessions for mothers, two GANC and one GPNC session for fathers, and informative sessions for companions. The sessions included pregnant women of close gestational age, use of visual aids to support session facilitation, and activities to support group bonding and information retention. Conclusions: The Group Model offering 5 ANC and 2 PNC for women, 2 GANC and 1 GPNC for male partners, and sessions for caregivers was developed in line with the national and WHO recommendation. This model found a feasible approach that involved partners and caregivers in the process and increased MNCH and social support during the voyage of the pregnancy journey. Bangladesh J Obstet Gynaecol, 2022; Vol. 37(1): 14-23
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 | 0,023 | 0,014 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,002 | 0,004 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».