Capitalizing on Community Groups to Improve Women's Resilience to Maternal and Child Health Challenges: Protocol for a Human-Centered Design Study in Tanzania.

Background: Maternal and neonatal deaths remain a major public health issue worldwide. Income Generation Associations (IGAs) could form a critical entry point to addressing poverty-related contributors. However, there have been limited practical interventions to leverage the power of IGAs in addressing the challenges associated with maternal care and childcare.

Temporalities of oxytocin for labour augmentation: a mixed-methods study of time factors shaping labour practices in a busy maternity unit in Tanzania.

Background: High rates of labour augmentation with oxytocin have been found in some low- and lower-middle-income countries, causing potential perinatal harm. It is critical to understand the reasons for this overuse. Aim was to explore factors that shape practices around using oxytocin for labour augmentation in a high-volume labour ward in Dar es Salaam, Tanzania.

Nurses' and clients' perspectives after engagement in the co-designing of solutions to improve provider-client relationships in maternal and child healthcare: a human-centered design study in rural Tanzania.

Background: There has been a persistent increase in clients' dissatisfaction with providers' competencies in maternal and child healthcare (MCH). Existing interventions have failed to address the complexity of provider-client relationships. Therefore, targeted, contextualized innovative solutions that place providers and clients at the forefront as agents of change in optimizing intervention design and implementation are needed.

Analysis of Correlated Outcomes of Anthropometric Measurements for Under-Five Children in Tanzania.

The study aimed at applying Multivariate Generalized Linear Mixed Models to examine factors associated with correlation outcomes, in particular, anthropometric measurements among under-five children in Tanzania. Three anthropometric measurements: weight-for-age (WAZ), height-for-age (HAZ), and weight-for-height (WHZ) among under-five children in Tanzania were jointly modeled to identify common factors associated with childhood malnutrition. A total of 9052 children with valid measures of height and weight were processed and analyzed.