ABSTRACT
OBJECTIVE: To report on the effectiveness of a standardised core Maternity Waiting Home (MWH) model to increase facility deliveries among women living >10 km from a health facility. DESIGN: Quasi-experimental design with partial randomisation at the cluster level. SETTING: Seven rural districts in Zambia. POPULATION: Women delivering at 40 health facilities between June 2016 and August 2018. METHODS: Twenty intervention and 20 comparison sites were used to test whether MWHs increased facility delivery for women living in rural Zambia. Difference-in-differences (DID) methodology was used to examine the effectiveness of the core MWH model on our identified outcomes. MAIN OUTCOME MEASURES: Differences in the change from baseline to study period in the percentage of women living >10 km from a health facility who: (1) delivered at the health facility, (2) attended a postnatal care (PNC) visit and (3) were referred to a higher-level health facility between intervention and comparison group. RESULTS: We detected a significant difference in the percentage of deliveries at intervention facilities with the core MWH model for all women living >10 km away (DID 4.2%, 95% CI 0.6-7.6, P = 0.03), adolescent women (<18 years) living >10 km away (DID 18.1%, 95% CI 6.3-29.8, P = 0.002) and primigravida women living >10 km away (DID 9.3%, 95% CI 2.4-16.4, P = 0.01) and for women attending the first PNC visit (DID 17.8%, 95% CI 7.7-28, P < 0.001). CONCLUSION: The core MWH model was successful in increasing rates of facility delivery for women living >10 km from a healthcare facility, including adolescent women and primigravidas and attendance at the first PNC visit. TWEETABLE ABSTRACT: A core MWH model increased facility delivery for women living >10 km from a health facility including adolescents and primigravidas in Zambia.
Subject(s)
Delivery, Obstetric/statistics & numerical data , Maternal Health Services/statistics & numerical data , Patient-Centered Care/statistics & numerical data , Rural Health Services/statistics & numerical data , Rural Population/statistics & numerical data , Adolescent , Adult , Cluster Analysis , Female , Health Services Accessibility , Humans , Pregnancy , Young Adult , ZambiaABSTRACT
OBJECTIVE: Geospatial data are used by health systems and researchers to understand disease burdens, trace outbreaks, and allocate resources, however, there are few well-documented protocols for collecting and analyzing geographic information systems data in rural areas of low- and middle-income countries. Even with the proliferation of spatial technologies such as Open Street Map and Google Maps, basic geographic data-such as village locations-are not widely available in many countries in sub-Saharan Africa. The purpose of this paper is to report a step-wise protocol, using geographic information system techniques and tools, developed to collect and analyze the type of spatial data necessary to calculate the distance between rural villages and maternity waiting homes located near rural primary healthcare facilities in Bong County, Liberia. RESULTS: Using a step-wise approach incorporating local healthcare provider knowledge, intensive field work, and spatial technologies such as Open Street Map and Google Maps for village geospatial data collection and verification, we identified village locations of 93.7% of the women who accessed the five maternity waiting homes in our study from 2012 to 2016.
Subject(s)
Geographic Information Systems , Maternal Health Services , Rural Population , Spatial Analysis , Adult , Female , Humans , Liberia , Pregnancy , Research DesignABSTRACT
Glycine substitutions in type I collagen appear to cause osteogenesis imperfecta (OI) by disrupting folding of the triple helix, the structure of which requires Gly in every third position. It is less clear, however, whether the resulting bone malformations and fragility are caused by effects of intracellular accumulation of misfolded collagen on differentiation and function of osteoblasts, effects of secreted misfolded collagen on the function of bone matrix, or both. Here we describe a study originally conceived for testing how reducing intracellular accumulation of misfolded collagen would affect mice with a Gly610 to Cys substitution in the triple helical region of the α2(I) chain. To stimulate degradation of misfolded collagen by autophagy, we utilized a low protein diet. The diet had beneficial effects on osteoblast differentiation and bone matrix mineralization, but also affected bone modeling and suppressed overall animal growth. Our more important observations, however, were not related to the diet. They revealed how altered osteoblast function and deficient bone formation by each cell caused by the G610C mutation combined with increased osteoblastogenesis might make the bone more brittle, all of which are common OI features. In G610C mice, increased bone formation surface compensated for reduced mineral apposition rate, resulting in normal cortical area and thickness at the cost of altering cortical modeling process, retaining woven bone, and reducing the ability of bone to absorb energy through plastic deformation. Reduced collagen and increased mineral density in extracellular matrix of lamellar bone compounded the problem, further reducing bone toughness. The latter observations might have particularly important implications for understanding OI pathophysiology and designing more effective therapeutic interventions.