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Enregistrement W4309264250 · doi:10.1371/journal.pone.0277207

The effect of catchment based mentorship on quality of maternal and newborn care in primary health care facilities in Tigray Region, Northern Ethiopia: A controlled quasi-experimental study

2022· article· en· W4309264250 sur OpenAlexaff
Haftom Gebrehiwot Weldearegay, Alemayehu Bayray Kahsay, Hagos Godefay, Pammla Petrucka, Araya Abrha Medhanyie

Notice bibliographique

RevuePLoS ONE · 2022
Typearticle
Langueen
DomaineMedicine
ThématiqueGlobal Maternal and Child Health
Établissements canadiensUniversity of Saskatchewan
Organismes subventionnairesMekelle University
Mots-clésMentorshipPsychological interventionMedicineHealth facilityReceiptLogistic regressionIntervention (counseling)Baseline (sea)Health careNursingFamily medicinePediatricsEnvironmental healthPopulationMedical education

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: In Ethiopia, quality of maternal and newborn care is poor. This situation has persisted, despite the wide implementation of several capacity building-oriented interventions including clinical mentoring for skilled birth attendants that were anticipated to translate in to high-quality maternal and newborn care on each encounter. The effectiveness of mentoring programs is not yet well documented in the research literature. Therefore, we evaluated the effect of a catchment based clinical mentorship in improving the quality of maternal and newborn care in primary level facilities of Tigray, Northern Ethiopia. METHODS: We conducted a controlled quasi-experimental pre-post study among 19 primary health care facilities, with 10 facilities assigned to the group where the catchment based clinical mentorship program was implemented (intervention group), and 9 facilities to the control group. We assigned the group based on administrative criteria, number of deliveries in each facility, accessibility, and ease of implementation of the intervention. A sample of 1320 women(662 at baseline; 658 at post intervention) and 233 skilled birth attendants(121 at baseline and 112 at end line) were included. We collected data from mothers, skilled birth attendants and facilities. The first round of data collection (baseline) took place two weeks prior the inauguration of the intervention, 05 October to 04 November 2019. The end line data collection occurred from 22 May to 03 July 2020. The primary Outcome was "receipt quality of maternal/newborn care". We analyzed the data using difference in differences (DiD) and logistic regression with Generalized Estimating Equation. The level of significance of predictors was declared at p-value less than 0.05in the multivariable analysis. INTERVENTION: We deployed a team of local clinical mentors working at primary hospitals to provide clinical mentorship, and direct feedback in routine and emergency obstetrical and newborn care to the mentees (all skilled birth attendants performing maternal and newborn health services) functioning in their catchment rural health centers for duration of six months. While visiting a facility, mentors remain at the facility each lasting at least five to seven days per month, over the course of intervention period. RESULTS: A significantly higher proportion of women at intervention facilities received quality of care services, compared with women at comparison facilities. (DiD = 18.4%, p<0.001). Moreover, following the implementation of the intervention we detected a difference in the occurrences of maternal complication outcome during delivery and immediately after birth. This was decreased by 4.5%, with significant differences between intervention and comparison sites (DiD = 4.5%, p = 0.013). We also found a favorable difference in occurrences of neonatal obstetric complications, with a decrease of 4.8% in the intervention site and almost no change in the comparison site (DiD = 4.8%, p = 0.002). Among the determinants of quality of care, we found that providers' job satisfaction (AoR = 2.95, 95%CI: 1.26 to 6.91), and making case presentation at regular basis(AoR = 1.89, 95%CI: 1.05 to 3.39) were significantly associated to improve the quality of care. However, delivery load(AoR = 0.95, 95%CI: 0.93 to 0.98) was negatively associated with quality of care. CONCLUSIONS: We conclude that the catchment based clinical mentorship intervention is effective to improve quality of care and reduce childbirth complications in northern Ethiopia. This finding further elaborated that incorporating maternal and newborn health catchment based clinical mentorship activities into the existing health system strengthening strategies can catalyze improvement processes to quality practice and health systems. This is seen as a necessary step to achieve the effective quality universal health care required to meet the health-related Sustainable Development Goals. Besides, more attention needs to be given to develop interventions and strategies that directly enhance providers' job satisfaction and reduce delivery work load.

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)0,007
score de la tête « metaresearch » (Gemma)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai non randomisé · Signal consensuel: Essai non randomisé
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,007
Score d'incertitude au seuil0,038

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,007
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0020,002
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,025
Tête enseignante GPT0,296
Écart entre enseignants0,271 · 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'étudeEssai non randomisé
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

Citations7
Publié2022
Routes d'admission1
Résumé présentoui

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